From 84f0816ae38878ccc387b02238423e1d5b41ffea Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Fri, 15 Jan 2021 12:54:28 +0100
Subject: [PATCH 01/28] rewrite

---
 TODO.md                                       |   4 +
 .../overview_components.py                    |   9 +-
 explainerdashboard/dashboards.py              |   2 +-
 explainerdashboard/explainer_methods.py       |  39 ++-
 explainerdashboard/explainer_plots.py         | 100 +++---
 explainerdashboard/explainers.py              | 289 +++++++++---------
 6 files changed, 224 insertions(+), 219 deletions(-)

diff --git a/TODO.md b/TODO.md
index eb02afe..2b6842a 100644
--- a/TODO.md
+++ b/TODO.md
@@ -1,9 +1,13 @@
 
 # TODO:
 
+
 ## Bugs:
 - dash contributions reload bug: Exception: Additivity check failed in TreeExplainer!
 - shap dependence: when no point cloud, do not highlight!
+- /Users/oege/projects/explainerhub/venv/lib/python3.8/site-packages/sklearn/tree/_classes.py:1254: FutureWarning:
+
+the classes_ attribute is to be deprecated from version 0.22 and will be removed in 0.24.
 
 ## Layout:
 - Find a proper frontender to help :)
diff --git a/explainerdashboard/dashboard_components/overview_components.py b/explainerdashboard/dashboard_components/overview_components.py
index 7462d05..67a6197 100644
--- a/explainerdashboard/dashboard_components/overview_components.py
+++ b/explainerdashboard/dashboard_components/overview_components.py
@@ -656,13 +656,10 @@ def component_callbacks(self, app):
             [Input('feature-input-index-'+self.name, 'value')]
         )
         def update_whatif_inputs(index):
-            idx = self.explainer.get_int_idx(index)
-            if idx is None:
+            if index is None:
                 raise PreventUpdate
-            feature_values = (self.explainer.X_cats
-                                [self.explainer.columns_ranked_by_shap(cats=True)]
-                                .iloc[[idx]].values[0].tolist())
-            return feature_values
+            X_row = self.explainer.get_X_row(index, cats=True)[self.explainer.columns_ranked_by_shap(cats=True)]
+            return X_row.values[0].tolist()
 
 
 
diff --git a/explainerdashboard/dashboards.py b/explainerdashboard/dashboards.py
index 1a8e4b2..cc93728 100644
--- a/explainerdashboard/dashboards.py
+++ b/explainerdashboard/dashboards.py
@@ -395,7 +395,7 @@ def __init__(self, explainer=None, tabs=None,
                 self.external_stylesheets.append(bootstrap_theme)
 
         if not hasattr(self.explainer, "onehot_dict"):
-            # explainerdashboard < v0.2.20
+            # explainer generated with explainerdashboard < v0.2.20
             self.explainer.onehot_dict = self.explainer.cats_dict
             self.explainer.onehot_cols = self.explainer.cats
             self.explainer.cat_cols = self.explainer.cats
diff --git a/explainerdashboard/explainer_methods.py b/explainerdashboard/explainer_methods.py
index 7054205..d219b50 100644
--- a/explainerdashboard/explainer_methods.py
+++ b/explainerdashboard/explainer_methods.py
@@ -122,6 +122,16 @@ def parse_cats(X, cats, sep:str="_"):
     return onehot_cols, onehot_dict
 
 
+def get_encoded_and_regular_cols(cols, onehot_dict):
+    """return a list of onehot encoded cols and a list of remainder cols.
+    """
+    encoded_cols = []
+    for enc_cols in onehot_dict.values():
+        if len(enc_cols) > 1: 
+            encoded_cols.extend(enc_cols)
+    regular_cols = [col for col in cols if col not in encoded_cols]
+    return encoded_cols, regular_cols
+
 
 def split_pipeline(pipeline, X, verbose=1):
     """Returns an X_transformed dataframe and model from a fitted 
@@ -208,10 +218,10 @@ def retrieve_onehot_value(X, encoded_col, onehot_cols, sep="_"):
         mapping = {-1: "NOT_ENCODED"}
 
     mapping.update({i: col for i, col in enumerate(onehot_cols)})
-    return pd.Series(feature_value).map(mapping).values
+    return pd.Series(feature_value).map(mapping)
 
 
-def merge_categorical_columns(X, onehot_dict=None, sep="_"):
+def merge_categorical_columns(X, onehot_dict=None, sep="_", drop_regular=True):
     """
     Returns a new feature Dataframe X_cats where the onehotencoded
     categorical features have been merged back with the old value retrieved
@@ -228,11 +238,13 @@ def merge_categorical_columns(X, onehot_dict=None, sep="_"):
     Returns:
         pd.DataFrame, with onehot encodings merged back into categorical columns.
     """
-    X_cats = X.copy()
+    X_cats = pd.DataFrame()
     for col_name, col_list in onehot_dict.items():
         if len(col_list) > 1:
-            X_cats[col_name] = retrieve_onehot_value(X, col_name, col_list, sep)
-            X_cats.drop(col_list, axis=1, inplace=True)
+            X_cats[col_name] = retrieve_onehot_value(X, col_name, col_list, sep).astype("category")
+        else:
+            if not drop_regular:
+                X_cats.loc[:, col_name] = X[col_name].values
     return X_cats
 
 
@@ -270,7 +282,7 @@ def X_cats_to_X(X_cats, onehot_dict, X_columns, sep="_"):
     return X_new[X_columns]
 
 
-def merge_categorical_shap_values(X, shap_values, onehot_dict=None, sep="_"):
+def merge_categorical_shap_values(X, shap_values, onehot_dict=None, output_cols=None):
     """
     Returns a new feature new shap values np.array
     where the shap values of onehotencoded categorical features have been
@@ -283,15 +295,20 @@ def merge_categorical_shap_values(X, shap_values, onehot_dict=None, sep="_"):
             e.g. shap.TreeExplainer(X).shap_values()
         onehot_dict (dict): dict of features with lists for onehot-encoded variables,
              e.g. {'Fare': ['Fare'], 'Sex' : ['Sex_male', 'Sex_Female']}
-        sep (str): seperator used between variable and category. 
-            Defaults to "_".
+            
+    Returns:
+        pd.DataFrame
     """
     shap_df = pd.DataFrame(shap_values, columns=X.columns)
+    onehot_cols = []
     for col_name, col_list in onehot_dict.items():
         if len(col_list) > 1:
             shap_df[col_name] = shap_df[col_list].sum(axis=1)
-            shap_df.drop(col_list, axis=1, inplace=True)
-    return shap_df.values
+            onehot_cols.append(col_name)
+    if output_cols:
+        return shap_df[output_cols]
+    return shap_df[onehot_cols]
+
 
 
 def merge_categorical_shap_interaction_values(shap_interaction_values, 
@@ -494,7 +511,7 @@ def cv_permutation_importances(model, X, y, metric, onehot_dict=None, greater_is
                         .sort_values('Importance', ascending=False)
 
 
-def mean_absolute_shap_values(columns, shap_values, onehot_dict=None):
+def get_mean_absolute_shap_df(columns, shap_values, onehot_dict=None):
     """
     Returns a dataframe with the mean absolute shap values for each feature.
 
diff --git a/explainerdashboard/explainer_plots.py b/explainerdashboard/explainer_plots.py
index 0b2b250..e4d4a1c 100644
--- a/explainerdashboard/explainer_plots.py
+++ b/explainerdashboard/explainer_plots.py
@@ -826,14 +826,14 @@ def plotly_dependence_plot(X, shap_values, col_name, interact_col_name=None,
     return fig
 
 
-def plotly_shap_violin_plot(X, shap_values, col_name, color_col=None, points=False, 
+def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False, 
         interaction=False, units="", highlight_index=None, idxs=None, index_name="index",
         cats_order=None):
     """Generates a violin plot for displaying shap value distributions for
     categorical features.
 
     Args:
-        X (pd.DataFrame): dataframe of input rows
+        X_col (pd.DataFrame): dataframe of input rows
         shap_values (np.ndarray): shap values generated for X
         col_name (str): Column of X to display violin plot for
         color_col (str, optional): Column of X to color plot markers by. 
@@ -852,21 +852,19 @@ def plotly_shap_violin_plot(X, shap_values, col_name, color_col=None, points=Fal
         Plotly fig
     """
     
-    assert is_string_dtype(X[col_name]), \
-        f'{col_name} is not categorical! Can only plot violin plots for categorical features!'
+    assert not is_numeric_dtype(X_col), \
+        f'{X_col.name} is not categorical! Can only plot violin plots for categorical features!'
         
-    x = X[col_name].copy()
-    shaps = shap_values[:, X.columns.get_loc(col_name)]
     if cats_order is None:
-        cats_order = sorted(X[col_name].unique().tolist())
+        cats_order = sorted(X_col.unique().tolist())
 
     n_cats = len(cats_order)
     
     if idxs is not None:
-        assert len(idxs)==X.shape[0]==len(shaps)
+        assert len(idxs)==X_col.shape[0]==len(shap_values)
         idxs = np.array([str(idx) for idx in idxs])
     else:
-        idxs = np.array([str(i) for i in range(X.shape[0])])
+        idxs = np.array([str(i) for i in range(X_col.shape[0])])
 
     if highlight_index is not None:
         if isinstance(highlight_index, int):
@@ -877,72 +875,68 @@ def plotly_shap_violin_plot(X, shap_values, col_name, color_col=None, points=Fal
             highlight_idx = np.where(idxs==highlight_index)[0].item()
             highlight_name = highlight_index
 
-    if points or color_col is not None:
+    if points or X_color_col is not None:
         fig = make_subplots(rows=1, cols=2*n_cats, column_widths=[3, 1]*n_cats, shared_yaxes=True)
         showscale = True
     else:
         fig = make_subplots(rows=1, cols=n_cats, shared_yaxes=True)
 
-    shap_range = shaps.max() - shaps.min()
-    fig.update_yaxes(range=[shaps.min()-0.1*shap_range, shaps.max()+0.1*shap_range])  
+    shap_range = shap_values.max() - shap_values.min()
+    fig.update_yaxes(range=[shap_values.min()-0.1*shap_range, shap_values.max()+0.1*shap_range])  
 
     for i, cat in enumerate(cats_order):
-        col = 1+i*2 if points or color_col is not None else 1+i
+        col = 1+i*2 if points or X_color_col is not None else 1+i
         fig.add_trace(go.Violin(
-                            x=x[x == cat],
-                            y=shaps[x == cat],
+                            x=X_col[X_col == cat],
+                            y=shap_values[X_col == cat],
                             name=cat,
                             box_visible=True,
                             meanline_visible=True,  
                             showlegend=False,
                                ),
                      row=1, col=col)
-        if color_col is not None:
-            if is_numeric_dtype(X[color_col]):
+        if X_color_col is not None:
+            if is_numeric_dtype(X_color_col):
                 fig.add_trace(go.Scattergl(
-                                x=np.random.randn(len(x[x == cat])),
-                                y=shaps[x == cat],
-                                name=color_col,
+                                x=np.random.randn((X_col == cat).sum()),
+                                y=shap_values[X_col == cat],
+                                name=X_color_col.name,
                                 mode='markers',
                                 showlegend=False,
                                 hoverinfo="text",
-                                # hovertemplate = 
-                                # "<i>shap</i>: %{y:.2f}<BR>" +
-                                # f"<i>{color_col}" + ": %{marker.color}",
                                 text = [f"{index_name}: {index}<br>shap: {shap}<br>{color_col}: {col}" 
-                                            for index, shap, col in zip(idxs[x==cat], shaps[x == cat], X[color_col][x==cat])],
+                                            for index, shap, col in zip(idxs[X_col==cat], 
+                                                                        shap_values[X_col == cat], 
+                                                                        X_color_col[X_col==cat])],
                                 marker=dict(size=7, 
                                         opacity=0.6,
-                                        cmin=X[color_col].min(),
-                                        cmax=X[color_col].max(),
-                                        color=X[color_col][x==cat],
+                                        cmin=X_color_col.min(),
+                                        cmax=X_color_col.max(),
+                                        color=X_color_col[x==cat],
                                         colorscale='Bluered',
                                         showscale=showscale,
-                                        colorbar=dict(title=color_col)),              
+                                        colorbar=dict(title=X_color_col.name)),              
                                 ),
                          row=1, col=col+1)
             else:
-                n_color_cats = X[color_col].nunique()
-                colors = ['#636EFA', '#EF553B', '#00CC96', '#AB63FA', '#FFA15A', '#19D3F3', '#FF6692', '#B6E880', '#FF97FF', '#FECB52']
+                n_color_cats = X_color_col.nunique()
+                colors = ['#636EFA', '#EF553B', '#00CC96', '#AB63FA', '#FFA15A', 
+                          '#19D3F3', '#FF6692', '#B6E880', '#FF97FF', '#FECB52']
                 colors = colors * (1+int(n_color_cats / len(colors)))
                 colors = colors[:n_color_cats]
-                for color_cat, color in zip(X[color_col].unique(), colors):
+                for color_cat, color in zip(X_color_col.unique(), colors):
                     fig.add_trace(go.Scattergl(
-                                    x=np.random.randn(len(x[(x == cat) & (X[color_col] == color_cat)])),
-                                    y=shaps[(x == cat) & (X[color_col] == color_cat)],
+                                    x=np.random.randn(((X_col == cat) & (X_color_col == color_cat)).sum()),
+                                    y=shap_values[(X_col == cat) & (X_color_col == color_cat)],
                                     name=color_cat,
-                                   
                                     mode='markers',
                                     showlegend=showscale,
                                     hoverinfo="text",
-                                    text = [f"{index_name}: {index}<br>shap: {shap}<br>{color_col}: {col}" 
+                                    text = [f"{index_name}: {index}<br>shap: {shap}<br>{X_color_col.name}: {col}" 
                                                 for index, shap, col in zip(
-                                                                idxs[(x == cat) & (X[color_col] == color_cat)], 
-                                                                shaps[(x == cat) & (X[color_col] == color_cat)], 
-                                                                X[color_col][(x == cat) & (X[color_col] == color_cat)])],
-                                    # hovertemplate = 
-                                    # "<i>shap</i>: %{y:.2f}<BR>" +
-                                    # f"<i>{color_col}: {color_cat}",
+                                                                idxs[(X_col == cat) & (X_color_col == color_cat)], 
+                                                                shap_values[(X_col == cat) & (X_color_col == color_cat)], 
+                                                                X_color_col[(X_col == cat) & (X_color_col == color_cat)])],
                                     marker=dict(size=7, 
                                                 opacity=0.8,
                                                 color=color)           
@@ -952,24 +946,22 @@ def plotly_shap_violin_plot(X, shap_values, col_name, color_col=None, points=Fal
             showscale = False
         elif points:
             fig.add_trace(go.Scattergl(
-                            x=np.random.randn(len(x[x == cat])),
-                            y=shaps[x == cat],
+                            x=np.random.randn((X_col == cat).sum()),
+                            y=shap_values[X_col == cat],
                             mode='markers',
                             showlegend=False,
-                            # hovertemplate = 
-                            # "<i>shap</i>: %{y:.2f}",
                             hoverinfo="text",
                             text = [f"{index_name}: {index}<br>shap: {shap}" 
-                                        for index, shap in zip(idxs[(x == cat)], shaps[x == cat])],
+                                        for index, shap in zip(idxs[(X_col == cat)], shap_values[X_col == cat])],
                             marker=dict(size=7, 
                                     opacity=0.6,
                                        color='blue'),
                         ), row=1, col=col+1)
-        if highlight_index is not None and X[col_name][highlight_idx]==cat:
+        if highlight_index is not None and X_col[highlight_idx]==cat:
             fig.add_trace(
                 go.Scattergl(
                     x=[0], 
-                    y=[shaps[highlight_idx]], 
+                    y=[shaps_values[highlight_idx]], 
                     mode='markers',
                     marker=dict(
                         color='LightSkyBlue',
@@ -986,7 +978,7 @@ def plotly_shap_violin_plot(X, shap_values, col_name, color_col=None, points=Fal
                     showlegend=False,
                 ), row=1, col=col+1)
 
-    if points or color_col is not None:
+    if points or X_color_col is not None:
         for i in range(n_cats):
             fig.update_xaxes(showgrid=False, zeroline=False, visible=False, row=1, col=2+i*2)
             fig.update_yaxes(showgrid=False, zeroline=False, row=1, col=2+i*2)
@@ -995,12 +987,12 @@ def plotly_shap_violin_plot(X, shap_values, col_name, color_col=None, points=Fal
         yaxis=dict(title=f"SHAP value ({units})" if units !="" else "SHAP value"),
         hovermode='closest')
 
-    if color_col is not None and interaction:
-        fig.update_layout(title=f'Interaction plot for {col_name} and {color_col}')
-    elif color_col is not None:
-        fig.update_layout(title=f'Shap values for {col_name}<br>(colored by {color_col})')
+    if X_color_col is not None and interaction:
+        fig.update_layout(title=f'Interaction plot for {X_col.name} and {X_color_col.name}')
+    elif X_color_col is not None:
+        fig.update_layout(title=f'Shap values for {X_col.name}<br>(colored by {X_color_col.name})')
     else:
-        fig.update_layout(title=f'Shap values for {col_name}')
+        fig.update_layout(title=f'Shap values for {X_col.name}')
     
     return fig
 
diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index 3ef5c43..7b54138 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -43,7 +43,8 @@ def __init__(self, model, X, y=None, permutation_metric=r2_score,
                     shap="guess", X_background=None, model_output="raw",
                     cats=None, idxs=None, index_name=None, target=None,
                     descriptions=None, 
-                    n_jobs=None, permutation_cv=None, na_fill=-999):
+                    n_jobs=None, permutation_cv=None, na_fill=-999,
+                    precision="float32"):
         """Defines the basic functionality that is shared by both
         ClassifierExplainer and RegressionExplainer. 
 
@@ -82,11 +83,12 @@ def __init__(self, model, X, y=None, permutation_metric=r2_score,
                 This is for calculating permutation importances against
                 X_train. Defaults to None
             na_fill (int): The filler used for missing values, defaults to -999.
+            precision: precision with which to store values. Defaults to np.float32.
         """
         self._params_dict = dict(
             shap=shap, model_output=model_output, cats=cats, 
             descriptions=descriptions, target=target, n_jobs=n_jobs, 
-            permutation_cv=n_jobs, na_fill=na_fill)
+            permutation_cv=n_jobs, na_fill=na_fill, precision=precision)
 
         if isinstance(model, Pipeline):
             self.X, self.model = split_pipeline(model, X)
@@ -107,10 +109,13 @@ def __init__(self, model, X, y=None, permutation_metric=r2_score,
                 "are supported, so please use those instead of lightgbm.Booster!")
 
         self.onehot_cols, self.onehot_dict = parse_cats(self.X, cats)
-        self.categorical_cols = [col for col in X.columns if not is_numeric_dtype(X[col])]
+        self.encoded_cols, self.regular_cols = get_encoded_and_regular_cols(self.X.columns, self.onehot_dict)
+        self.categorical_cols = [col for col in self.regular_cols if not is_numeric_dtype(X[col])]
         self.categorical_dict = {col:sorted(X[col].unique().tolist()) for col in self.categorical_cols}
         self.cat_cols = self.onehot_cols + self.categorical_cols
         if self.categorical_cols:
+            for col in self.categorical_cols:
+                self.X[col] = self.X[col].astype("category")
             print(f"Warning: Detected the following categorical columns: {self.categorical_cols}."
                     "Unfortunately for now shap interaction values do not work with"
                     "categorical columns.", flush=True)
@@ -171,15 +176,15 @@ def __init__(self, model, X, y=None, permutation_metric=r2_score,
         self.n_jobs = n_jobs
         self.permutation_cv = permutation_cv
         self.na_fill = na_fill
+        self.precision = precision
         self.columns = self.X.columns.tolist()
         self.pos_label = None
         self.units = ""
         self.is_classifier = False
         self.is_regression = False
-        self.interactions_should_work = True
         if safe_is_instance(self.model, "CatBoostRegressor", "CatBoostClassifier"):
             self.interactions_should_work = False
-        else:
+        if not hasattr(self, "interactions_should_work"):
             self.interactions_should_work = True
 
     @classmethod
@@ -305,28 +310,12 @@ def check_cats(self, col1, col2=None):
           Boolean whether cats should be True
 
         """
-        if col2 is None:
-            if col1 in self.columns:
-                return False
-            elif col1 in self.columns_cats:
-                return True
-            raise ValueError(f"Can't find {col1}.")
-        
-        if col1 not in self.columns and col1 not in self.columns_cats:
-            raise ValueError(f"Can't find {col1}.")
-        if col2 not in self.columns and col2 not in self.columns_cats:
-            raise ValueError(f"Can't find {col2}.")
-        
-        if col1 in self.columns and col2 in self.columns:
-            return False
-        if col1 in self.columns_cats and col2 in self.columns_cats:
+        if col1 in self.onehot_cols: 
+            return True
+        if col2 is not None and col2 in self.onehot_cols:
             return True
-        if col1 in self.columns_cats and not col2 in self.columns_cats:
-            raise ValueError(
-                f"{col1} is categorical but {col2} is not in columns_cats")
-        if col2 in self.columns_cats and not col1 in self.columns_cats:
-            raise ValueError(
-                f"{col2} is categorical but {col1} is not in columns_cats")
+        return False
+
 
     @property
     def shap_explainer(self):
@@ -442,8 +431,7 @@ def preds(self):
         """returns model model predictions"""
         if not hasattr(self, '_preds'):
             print("Calculating predictions...", flush=True)
-            self._preds = self.model.predict(self.X).astype(np.float64)
-            
+            self._preds = self.model.predict(self.X).astype(self.precision)
         return self._preds
     
     @property
@@ -454,7 +442,7 @@ def pred_percentiles(self):
             self._pred_percentiles = (pd.Series(self.preds)
                                 .rank(method='min')
                                 .divide(len(self.preds))
-                                .values)
+                                .values).astype(self.precision)
         return make_callable(self._pred_percentiles)
 
     def columns_ranked_by_shap(self, cats=False, pos_label=None):
@@ -484,7 +472,7 @@ def n_features(self, cats=False):
 
         """
         if cats:
-            return len(self.columns_cats)
+            return len(self.regular_cols)+len(self.onehot_cols)
         else:
             return len(self.columns)
 
@@ -505,15 +493,17 @@ def equivalent_col(self, col):
         Returns:
           col
         """
-        if col in self.columns_cats:
+        if col in self.regular_cols:
+            return col
+        elif col in self.onehot_cols:
             # first onehot-encoded columns
             return self.onehot_dict[col][0]
-        elif col in self.columns:
+        elif col in self.encoded_cols:
             # the cat that the col belongs to
             return [k for k, v in self.onehot_dict.items() if col in v][0]
         return None
 
-    def ordered_cats(self, col, topx=None, sort='alphabet'):
+    def ordered_cats(self, col, topx=None, sort='alphabet', pos_label=None):
         """Return a list of categories in an categorical column, sorted
         by mode.
 
@@ -530,30 +520,49 @@ def ordered_cats(self, col, topx=None, sort='alphabet'):
         Returns:
             list
         """
+        if pos_label is None: pos_label = self.pos_label
         assert col in self.cat_cols, \
             f"{col} is not a categorical feature!"
+        if col in self.onehot_cols:
+            X = self.X_cats
+        else:
+            X = self.X
+
         if sort=='alphabet':
             if topx is None:
-                return sorted(self.X_cats[col].unique().tolist())
+                return sorted(X[col].unique().tolist())
             else:
-                return sorted(self.X_cats[col].unique().tolist())[:topx]
+                return sorted(X[col].unique().tolist())[:topx]
         elif sort=='freq':
             if topx is None:
-                return self.X_cats[col].value_counts().index.tolist()
+                return X[col].value_counts().index.tolist()
             else:
-                return self.X_cats[col].value_counts().nlargest(topx).index.tolist()
+                return X[col].value_counts().nlargest(topx).index.tolist()
         elif sort=='shap':
+            sv = self.shap_values_cats(pos_label) if col in onehot_cols else self.shap_values(pos_label)
+
             if topx is None:
-                return (pd.Series(self.shap_values_cats[:, self.columns_cats.index(col)], 
-                        index=self.X_cats[col]).abs().groupby(level=0).mean()
+                return (pd.Series(sv[:, self.columns_cats.index(col)], 
+                        index=X[col]).abs().groupby(level=0).mean()
                             .sort_values(ascending=False).index.tolist())
             else:
-                return (pd.Series(self.shap_values_cats[:, self.columns_cats.index(col)], 
-                        index=self.X_cats[col]).abs().groupby(level=0).mean()
+                return (pd.Series(sv[:, self.columns_cats.index(col)], 
+                        index=X[col]).abs().groupby(level=0).mean()
                             .sort_values(ascending=False).nlargest(topx).index.tolist())
         else:
             raise ValueError(f"sort='{sort}', but should be in {{'alphabet', 'freq', 'shap'}}")
 
+
+    def get_index_list(self):
+        return list(self.idxs)
+
+    def get_X_row(self, index, cats=False):
+        idx = self.get_int_idx(index)
+        X_row = self.X.iloc[[idx]]
+        if cats:
+            X_row = merge_categorical_columns(X_row, self.onehot_dict, drop_regular=False)[self.columns_cats]
+        return X_row
+
     def get_row_from_input(self, inputs:List, ranked_by_shap=False):
         """returns a single row pd.DataFrame from a given list of *inputs"""
         if len(inputs)==1 and isinstance(inputs[0], list):
@@ -620,8 +629,11 @@ def get_col(self, col):
         if col in self.X.columns:
             return self.X[col]
         elif col in self.onehot_cols:
-            return pd.Series(retrieve_onehot_value(
-                self.X, col, self.onehot_dict[col]), name=col)
+            if hasattr(self, "_X_cats"):
+                return self._X_cats[col]
+            else:
+                return pd.Series(retrieve_onehot_value(
+                    self.X, col, self.onehot_dict[col]), name=col)
         
     def get_col_value_plus_prediction(self, col, index=None, X_row=None, pos_label=None):
         """return value of col and prediction for either index or X_row
@@ -639,29 +651,12 @@ def get_col_value_plus_prediction(self, col, index=None, X_row=None, pos_label=N
         assert (col in self.X.columns) or (col in self.onehot_cols),\
             f"{col} not in columns of dataset"
         if index is not None:
-            assert index in self, f"index {index} not found"
-            idx = self.get_int_idx(index)
-
-            if col in self.X.columns:
-                col_value = self.X[col].iloc[idx]
-            elif col in self.onehot_cols:
-                col_value = retrieve_onehot_value(self.X, col, self.onehot_dict[col])[idx]
-
-            if self.is_classifier:
-                if pos_label is None:
-                    pos_label = self.pos_label
-                prediction = self.pred_probas(pos_label)[idx]
-                if self.model_output == 'probability':
-                    prediction = 100*prediction
-            elif self.is_regression:
-                prediction = self.preds[idx]
-
-            return col_value, prediction
-        elif X_row is not None:
+            X_row = self.get_X_row(index)
+        if X_row is not None:
             assert X_row.shape[0] == 1, "X_Row should be single row dataframe!"
             
-            if ((len(X_row.columns) == len(self.X_cats.columns)) and 
-                (X_row.columns == self.X_cats.columns).all()):
+            if ((len(X_row.columns) == len(self.columns_cats)) and 
+                (X_row.columns == self.columns_cats).all()):
                 X_row = X_cats_to_X(X_row, self.onehot_dict, self.X.columns)    
             else:
                 assert (X_row.columns == self.X.columns).all(), \
@@ -720,7 +715,7 @@ def X_cats(self):
     def columns_cats(self):
         """columns of X with categorical features grouped"""
         if not hasattr(self, '_columns_cats'):
-            self._columns_cats = self.X_cats.columns.tolist()
+            self._columns_cats = self.regular_cols + self.X_cats.columns.tolist()
         return self._columns_cats
 
     @property
@@ -744,7 +739,7 @@ def shap_values(self):
         """SHAP values calculated using the shap library"""
         if not hasattr(self, '_shap_values'):
             print("Calculating shap values...", flush=True)
-            self._shap_values = self.shap_explainer.shap_values(self.X)
+            self._shap_values = pd.DataFrame(self.shap_explainer.shap_values(self.X).astype(self.precision), columns=self.columns)
         return make_callable(self._shap_values)
     
     @property
@@ -752,7 +747,7 @@ def shap_values_cats(self):
         """SHAP values when categorical features have been grouped"""
         if not hasattr(self, '_shap_values_cats'):
             self._shap_values_cats = merge_categorical_shap_values(
-                        self.X, self.shap_values, self.onehot_dict)
+                        self.X, self.shap_values, self.onehot_dict).astype(self.precision)
         return make_callable(self._shap_values_cats)
 
     @property
@@ -770,7 +765,7 @@ def shap_interaction_values(self):
                     "reducing these will speed up the calculation.", 
                     flush=True)
             self._shap_interaction_values = \
-                self.shap_explainer.shap_interaction_values(self.X)
+                self.shap_explainer.shap_interaction_values(self.X).astype(self.precision)
         return make_callable(self._shap_interaction_values)
 
     @property
@@ -779,23 +774,31 @@ def shap_interaction_values_cats(self):
         if not hasattr(self, '_shap_interaction_values_cats'):
             self._shap_interaction_values_cats = \
                 merge_categorical_shap_interaction_values(
-                    self.shap_interaction_values, self.X, self.X_cats, self.onehot_dict)
+                    self.shap_interaction_values, self.columns, self.columns_cats, 
+                    self.onehot_dict).astype(self.precision)
         return make_callable(self._shap_interaction_values_cats)
 
     @property
     def mean_abs_shap(self):
         """Mean absolute SHAP values per feature."""
         if not hasattr(self, '_mean_abs_shap'):
-            self._mean_abs_shap = mean_absolute_shap_values(
-                                self.columns, self.shap_values)
+            self._mean_abs_shap = (self.shap_values.abs().mean()
+                    .sort_values(ascending=False)
+                    .to_frame().rename_axis(index="Feature").reset_index()
+                    .rename(columns={0:"MEAN_ABS_SHAP"}))
         return make_callable(self._mean_abs_shap)
 
     @property
     def mean_abs_shap_cats(self):
         """Mean absolute SHAP values with categoricals grouped."""
         if not hasattr(self, '_mean_abs_shap_cats'):
-            self._mean_abs_shap_cats = mean_absolute_shap_values(
-                                self.columns_cats, self.shap_values_cats)
+            mean_abs_cats = (self.shap_values_cats.abs().mean()
+                    .to_frame().rename_axis(index="Feature").reset_index()
+                    .rename(columns={0:"MEAN_ABS_SHAP"}))
+
+            self._mean_abs_shap_cats = (pd.concat([
+                    mean_abs_cats, self.mean_abs_shap[self.mean_abs_shap.Feature.isin(self.regular_cols)]])
+                    .sort_values("MEAN_ABS_SHAP", ascending=False))
         return make_callable(self._mean_abs_shap_cats)
 
     def calculate_properties(self, include_interactions=True):
@@ -873,33 +876,34 @@ def shap_top_interactions(self, col, topx=None, cats=False, pos_label=None):
           list: top_interactions
 
         """
+        if col in self.onehot_cols:
+            cats = True
         if cats:
             if hasattr(self, '_shap_interaction_values'):
-                col_idx = self.X_cats.columns.get_loc(col)
-                top_interactions = self.X_cats.columns[
-                    np.argsort(
-                        -np.abs(self.shap_interaction_values_cats(
-                            pos_label)[:, col_idx, :]).mean(0))].tolist()
+                _ = self.shap_interaction_values_cats
+                col_idx = self.columns_cats.index(col)
+                order = np.argsort(-np.abs(self.shap_interaction_values_cats(pos_label)[:, col_idx, :]).mean(0))
+                top_interactions = np.array(self.columns_cats)[order].tolist()
             else:
-                top_interactions = self.mean_abs_shap_cats(pos_label)\
-                                        .Feature.values.tolist()
+                top_interactions = self.columns_ranked_by_shap(cats)
                 top_interactions.insert(0, top_interactions.pop(
                     top_interactions.index(col))) #put col first
 
-            if topx is None: topx = len(top_interactions)
-            return top_interactions[:topx]
+            if topx is None: 
+                return top_interactions
+            else:
+                return top_interactions[:topx]
         else:
             if hasattr(self, '_shap_interaction_values'):
-                col_idx = self.X.columns.get_loc(col)
-                top_interactions = self.X.columns[np.argsort(-np.abs(
-                            self.shap_interaction_values(
-                                pos_label)[:, col_idx, :]).mean(0))].tolist()
+                col_idx = self.columns.index(col)
+                order = np.argsort(-np.abs(self.shap_interaction_values(pos_label)[:, col_idx, :]).mean(0))
+                top_interactions = self.X.columns[order].tolist()
             else:
                 if hasattr(shap, "utils"):
                     interaction_idxs = shap.utils.approximate_interactions(
                         col, self.shap_values(pos_label), self.X)
                 elif hasattr(shap, "common"):
-                    # shap < 0.35 has approximate interactions in common
+                    # shap < 0.35 has approximate interactions in common module
                     interaction_idxs = shap.common.approximate_interactions(
                         col, self.shap_values(pos_label), self.X)
 
@@ -907,8 +911,10 @@ def shap_top_interactions(self, col, topx=None, cats=False, pos_label=None):
                 #put col first
                 top_interactions.insert(0, top_interactions.pop(-1)) 
 
-            if topx is None: topx = len(top_interactions)
-            return top_interactions[:topx]
+            if topx is None: 
+                return top_interactions
+            else:
+                return top_interactions[:topx]
 
     def shap_interaction_values_by_col(self, col, cats=False, pos_label=None):
         """returns the shap interaction values[np.array(N,N)] for feature col
@@ -923,8 +929,10 @@ def shap_interaction_values_by_col(self, col, cats=False, pos_label=None):
 
         """
         if cats:
+            assert col in self.columns_cats, \
+                f"{col} not found in columns_cats!"
             return self.shap_interaction_values_cats(pos_label)[:,
-                        self.X_cats.columns.get_loc(col), :]
+                        self.columns_cats.index(col), :]
         else:
             return self.shap_interaction_values(pos_label)[:,
                         self.X.columns.get_loc(col), :]
@@ -1018,15 +1026,14 @@ def contrib_df(self, index=None, X_row=None, cats=True, topx=None, cutoff=None,
         else:
             cols =  None
         if X_row is not None:
-            if ((len(X_row.columns) == len(self.X_cats.columns)) and 
-                (X_row.columns == self.X_cats.columns).all()):
-                if cats: 
-                    X_row_cats = X_row
-                    X_row = X_cats_to_X(X_row, self.onehot_dict, self.X.columns)    
+            if ((len(X_row.columns) == len(self.columns_cats)) and 
+                (X_row.columns == self.columns_cats).all()):
+                X_row_cats = X_row  
+                X_row = X_cats_to_X(X_row, self.onehot_dict, self.X.columns)       
             else:
                 assert (X_row.columns == self.X.columns).all(), \
                     "X_row should have the same columns as self.X or self.X_cats!"
-                X_row_cats = merge_categorical_columns(X_row, self.onehot_dict)
+                X_row_cats = merge_categorical_columns(X_row, self.onehot_dict, drop_regular=False)[self.columns_cats]
 
             shap_values = self.shap_explainer.shap_values(X_row)
             if self.is_classifier:
@@ -1035,8 +1042,9 @@ def contrib_df(self, index=None, X_row=None, cats=True, topx=None, cutoff=None,
                 shap_values = shap_values[self.get_pos_label_index(pos_label)]
 
             if cats:
-                shap_values = merge_categorical_shap_values(X_row, shap_values, self.onehot_dict)
-                return get_contrib_df(self.shap_base_value(pos_label), shap_values[0], 
+                shap_values_cats = merge_categorical_shap_values(X_row, shap_values, 
+                                        self.onehot_dict, self.columns_cats)
+                return get_contrib_df(self.shap_base_value(pos_label), shap_values_cats[0], 
                             remove_cat_names(X_row_cats, self.onehot_dict), 
                             topx, cutoff, sort, cols)   
             else:
@@ -1097,7 +1105,7 @@ def interactions_df(self, col, cats=False, topx=None, cutoff=None,
           pd.DataFrame
 
         """
-        importance_df = mean_absolute_shap_values(
+        importance_df = get_absolute_shap_df(
             self.columns_cats if cats else self.columns, 
             self.shap_interaction_values_by_col(col, cats, pos_label))
 
@@ -1210,8 +1218,8 @@ def pdp_df(self, col, index=None, X_row=None, drop_na=True, sample=500,
                     self.X[(self.X.index!=index)].sample(sample_size)],
                     ignore_index=True, axis=0)
         elif X_row is not None:
-            if ((len(X_row.columns) == len(self.X_cats.columns)) and 
-                (X_row.columns == self.X_cats.columns).all()):
+            if ((len(X_row.columns) == len(self.columns_cats)) and 
+                (X_row.columns == self.columns_cats).all()):
                 X_row = X_cats_to_X(X_row, self.onehot_dict, self.X.columns)    
             else:
                 assert (X_row.columns == self.X.columns).all(), \
@@ -1529,52 +1537,39 @@ def plot_shap_dependence(self, col, color_col=None, highlight_index=None,
         """
         cats = self.check_cats(col, color_col)
         highlight_idx = self.get_int_idx(highlight_index)
+        if color_col is None:
+            X_color_col = None
+        else:
+            X_color_col = self.X_cats[color_col] if color_col in self.onehot_cols else self.X[color_col]
 
-        if cats:
-            
-            if col in self.onehot_cols or col in self.categorical_cols:
-                return plotly_shap_violin_plot(
-                            self.X_cats, 
-                            self.shap_values_cats(pos_label), 
-                            col, 
-                            color_col, 
+        if col in self.onehot_cols:
+            return plotly_shap_violin_plot(
+                            self.X_cats[col], 
+                            self.shap_values_cats(pos_label)[col], 
+                            X_color_col, 
                             highlight_index=highlight_idx,
                             idxs=self.idxs.values,
                             index_name=self.index_name,
                             cats_order=self.ordered_cats(col, topx, sort))
-            else:
-                return plotly_dependence_plot(
-                            self.X_cats, 
-                            self.shap_values_cats(pos_label),
-                            col, 
-                            color_col, 
-                            na_fill=self.na_fill, 
-                            units=self.units, 
-                            highlight_index=highlight_idx,
-                            idxs=self.idxs.values,
-                            index_name=self.index_name)
+        elif col in self.categorical_cols:
+            return plotly_shap_violin_plot(
+                self.X[col], 
+                self.shap_values(pos_label)[col], 
+                X_color_col, 
+                highlight_index=highlight_idx,
+                idxs=self.idxs.values,
+                index_name=self.index_name,
+                cats_order=self.ordered_cats(col, topx, sort))
         else:
-            if col in self.categorical_cols:
-                return plotly_shap_violin_plot(
-                                self.X_cats, 
-                                self.shap_values_cats(pos_label), 
-                                col, 
-                                color_col, 
-                                highlight_index=highlight_idx,
-                                idxs=self.idxs.values,
-                                index_name=self.index_name,
-                                cats_order=self.ordered_cats(col, topx, sort))
-            else:
-                return plotly_dependence_plot(
-                                self.X, 
-                                self.shap_values(pos_label),
-                                col, 
-                                color_col, 
-                                na_fill=self.na_fill, 
-                                units=self.units, 
-                                highlight_index=highlight_idx,
-                                idxs=self.idxs.values,
-                                index_name=self.index_name)
+            return plotly_dependence_plot(
+                        self.X[col], 
+                        self.shap_values(pos_label)[col],
+                        X_color_col, 
+                        na_fill=self.na_fill, 
+                        units=self.units, 
+                        highlight_index=highlight_idx,
+                        idxs=self.idxs.values,
+                        index_name=self.index_name)
 
     def plot_shap_interaction(self, col, interact_col, highlight_index=None, 
                                 topx=10, sort='alphabet', pos_label=None):
@@ -1669,7 +1664,7 @@ def __init__(self, model,  X, y=None,  permutation_metric=roc_auc_score,
                     shap='guess', X_background=None, model_output="probability",
                     cats=None, idxs=None, index_name=None, target=None,
                     descriptions=None, n_jobs=None, permutation_cv=None, na_fill=-999,
-                    labels=None, pos_label=1):
+                    precision="float32", labels=None, pos_label=1):
         """
         Explainer for classification models. Defines the shap values for
         each possible class in the classification.
@@ -1690,7 +1685,7 @@ def __init__(self, model,  X, y=None,  permutation_metric=roc_auc_score,
         super().__init__(model, X, y, permutation_metric, 
                             shap, X_background, model_output, 
                             cats, idxs, index_name, target, descriptions, 
-                            n_jobs, permutation_cv, na_fill)
+                            n_jobs, permutation_cv, na_fill, precision)
 
         assert hasattr(model, "predict_proba"), \
                 ("for ClassifierExplainer, model should be a scikit-learn "
@@ -2203,7 +2198,7 @@ def prediction_result_df(self, index=None, X_row=None, add_star=True, logodds=Fa
             int_idx = self.get_int_idx(index)
             pred_probas = self.pred_probas_raw[int_idx, :]
         elif X_row is not None:
-            if X_row.columns.tolist()==self.X_cats.columns.tolist():
+            if X_row.columns.tolist()==self.columns_cats:
                 X_row = X_cats_to_X(X_row, self.onehot_dict, self.X.columns)  
             pred_probas = self.model.predict_proba(X_row)[0, :]
 
@@ -2493,7 +2488,7 @@ def __init__(self, model,  X, y=None, permutation_metric=r2_score,
                     shap="guess", X_background=None, model_output="raw",
                     cats=None, idxs=None, index_name=None, target=None,
                     descriptions=None, n_jobs=None, permutation_cv=None, 
-                    na_fill=-999, units=""):
+                    na_fill=-999, precision="float32", units=""):
         """Explainer for regression models.
 
         In addition to BaseExplainer defines a number of plots specific to 
@@ -2507,7 +2502,7 @@ def __init__(self, model,  X, y=None, permutation_metric=r2_score,
         super().__init__(model, X, y, permutation_metric, 
                             shap, X_background, model_output,
                             cats, idxs, index_name, target, descriptions,
-                            n_jobs, permutation_cv, na_fill)
+                            n_jobs, permutation_cv, na_fill, precision)
 
         self._params_dict = {**self._params_dict, **dict(units=units)}
         self.units = units
@@ -2654,7 +2649,7 @@ def prediction_result_df(self, index=None, X_row=None, round=3):
                         index=preds_df.columns), ignore_index=True)
 
         elif X_row is not None:
-            if X_row.columns.tolist()==self.X_cats.columns.tolist():
+            if X_row.columns.tolist()==self.columns_cats:
                 X_row = X_cats_to_X(X_row, self.onehot_dict, self.X.columns) 
             assert np.all(X_row.columns==self.X.columns), \
                 ("The column names of X_row should match X! Instead X_row.columns"

From db1336787821eb0cdc02788198b0782ff631173e Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Fri, 15 Jan 2021 22:26:23 +0100
Subject: [PATCH 02/28] rewrote regression explainer

---
 TODO.md                                       |  13 +
 .../dashboard_components/composites.py        |  17 +-
 .../overview_components.py                    | 103 +--
 .../regression_components.py                  | 171 +----
 .../dashboard_components/shap_components.py   | 371 +++-------
 explainerdashboard/explainer_methods.py       |  51 +-
 explainerdashboard/explainer_plots.py         | 318 ++++----
 explainerdashboard/explainers.py              | 694 +++++-------------
 tests/test_cats_only.py                       |   8 +-
 tests/test_classifier_base.py                 |   8 +-
 tests/test_linear_model.py                    |   8 +-
 tests/test_multiclass.py                      |   8 +-
 tests/test_regression_base.py                 |   8 +-
 13 files changed, 575 insertions(+), 1203 deletions(-)

diff --git a/TODO.md b/TODO.md
index 2b6842a..bc99367 100644
--- a/TODO.md
+++ b/TODO.md
@@ -1,6 +1,19 @@
 
 # TODO:
 
+## Version 0.3:
+- check all register_dependencies()
+- rename tree methods
+- regression vs col:
+    - fix violin plots
+    - set cat col order
+    - rename cat col names
+- fix json bug
+- fix shap summary
+- fix shap interaction summary detailed
+- fix shap interaction dependence: cats is flipped
+- set limited color_col categories
+- make violin points more opaque
 
 ## Bugs:
 - dash contributions reload bug: Exception: Additivity check failed in TreeExplainer!
diff --git a/explainerdashboard/dashboard_components/composites.py b/explainerdashboard/dashboard_components/composites.py
index 70571f1..7039cd9 100644
--- a/explainerdashboard/dashboard_components/composites.py
+++ b/explainerdashboard/dashboard_components/composites.py
@@ -404,7 +404,7 @@ class ShapDependenceComposite(ExplainerComponent):
     def __init__(self, explainer, title='Feature Dependence', name=None,
                     hide_selector=True, 
                     hide_shapsummary=False, hide_shapdependence=False,
-                    depth=None, cats=True, **kwargs):
+                    depth=None, **kwargs):
         """Composite of ShapSummary and ShapDependence component
 
         Args:
@@ -419,18 +419,15 @@ def __init__(self, explainer, title='Feature Dependence', name=None,
             hide_shapsummary (bool, optional): hide ShapSummaryComponent
             hide_shapdependence (bool, optional): ShapDependenceComponent
             depth (int, optional): Number of features to display. Defaults to None.
-            cats (bool, optional): Group categorical features. Defaults to True.
         """
         super().__init__(explainer, title, name)
         
         self.shap_summary = ShapSummaryComponent(
                     self.explainer, name=self.name+"0",
-                    **update_params(kwargs, hide_selector=hide_selector, depth=depth, cats=cats))
+                    **update_params(kwargs, hide_selector=hide_selector, depth=depth))
         self.shap_dependence = ShapDependenceComponent(
                     self.explainer, name=self.name+"1",
-                    hide_selector=hide_selector, cats=cats,
-                    **update_params(kwargs, hide_cats=True)
-                    )
+                    hide_selector=hide_selector, **kwargs)
         self.connector = ShapSummaryDependenceConnector(
                     self.shap_summary, self.shap_dependence)
 
@@ -446,7 +443,7 @@ class ShapInteractionsComposite(ExplainerComponent):
     def __init__(self, explainer, title='Feature Interactions', name=None,
                     hide_selector=True,
                     hide_interactionsummary=False, hide_interactiondependence=False,
-                    depth=None, cats=True, **kwargs):
+                    depth=None, **kwargs):
         """Composite of InteractionSummaryComponent and InteractionDependenceComponent
 
         Args:
@@ -461,14 +458,12 @@ def __init__(self, explainer, title='Feature Interactions', name=None,
             hide_interactionsummary (bool, optional): hide InteractionSummaryComponent
             hide_interactiondependence (bool, optional): hide InteractionDependenceComponent
             depth (int, optional): Initial number of features to display. Defaults to None.
-            cats (bool, optional): Initally group cats. Defaults to True.
         """
         super().__init__(explainer, title, name)
-
         self.interaction_summary = InteractionSummaryComponent(explainer, name=self.name+"0",
-                hide_selector=hide_selector, depth=depth, cats=cats, **kwargs)
+                hide_selector=hide_selector, depth=depth,  **kwargs)
         self.interaction_dependence = InteractionDependenceComponent(explainer, name=self.name+"1",
-                hide_selector=hide_selector, cats=cats, **update_params(kwargs, hide_cats=True))
+                hide_selector=hide_selector,  **kwargs)
         self.connector = InteractionSummaryDependenceConnector(
             self.interaction_summary, self.interaction_dependence)
         
diff --git a/explainerdashboard/dashboard_components/overview_components.py b/explainerdashboard/dashboard_components/overview_components.py
index 67a6197..862607a 100644
--- a/explainerdashboard/dashboard_components/overview_components.py
+++ b/explainerdashboard/dashboard_components/overview_components.py
@@ -110,10 +110,10 @@ def update_output_div(index, include_percentile, pos_label):
 class ImportancesComponent(ExplainerComponent):
     def __init__(self, explainer, title="Feature Importances", name=None,
                         subtitle="Which features had the biggest impact?",
-                        hide_type=False, hide_depth=False, hide_cats=False,
+                        hide_type=False, hide_depth=False, 
                         hide_title=False,  hide_subtitle=False, hide_selector=False,
                         pos_label=None, importance_type="shap", depth=None, 
-                        cats=True, no_permutations=False,
+                        no_permutations=False,
                         description=None, **kwargs):
         """Display features importances component
 
@@ -130,8 +130,7 @@ def __init__(self, explainer, title="Feature Importances", name=None,
                         Defaults to False.
             hide_depth (bool, optional): Hide number of features toggle. 
                         Defaults to False.
-            hide_cats (bool, optional): Hide group cats toggle. 
-                        Defaults to False.
+
             hide_title (bool, optional): hide title. Defaults to False.
             hide_subtitle (bool, optional): Hide subtitle. Defaults to False.
             hide_selector (bool, optional): hide pos label selectors. 
@@ -142,7 +141,6 @@ def __init__(self, explainer, title="Feature Importances", name=None,
                         initial importance type to display. Defaults to "shap".
             depth (int, optional): Initial number of top features to display. 
                         Defaults to None (=show all).
-            cats (bool, optional): Group categoricals. Defaults to True.
             no_permutations (bool, optional): Do not use the permutation
                 importances for this component. Defaults to False. 
             description (str, optional): Tooltip to display when hover over
@@ -150,14 +148,11 @@ def __init__(self, explainer, title="Feature Importances", name=None,
         """
         super().__init__(explainer, title, name)
 
-        if not self.explainer.onehot_cols:
-            self.hide_cats = True
-
         assert importance_type in ['shap', 'permutation'], \
             "importance type must be either 'shap' or 'permutation'!"
 
         if depth is not None:
-            self.depth = min(depth, len(explainer.columns_ranked_by_shap(cats)))
+            self.depth = min(depth, len(explainer.columns_ranked_by_shap()))
 
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
 
@@ -171,9 +166,9 @@ def __init__(self, explainer, title="Feature Importances", name=None,
         does the model get worse when you shuffle this feature, rendering it
         useless?).
         """
-        self.register_dependencies('shap_values', 'shap_values_cats')
+        self.register_dependencies('shap_values_df')
         if not (self.hide_type and self.importance_type == 'shap'):
-            self.register_dependencies('permutation_importances', 'permutation_importances_cats')
+            self.register_dependencies('permutation_importances')
 
     def layout(self):
         return dbc.Card([
@@ -214,27 +209,10 @@ def layout(self):
                             html.Label('Depth:', id='importances-depth-label-'+self.name),
                             dbc.Select(id='importances-depth-'+self.name,
                                         options = [{'label': str(i+1), 'value':i+1} 
-                                                    for i in range(self.explainer.n_features(self.cats))],
+                                                    for i in range(self.explainer.n_features())],
                                         value=self.depth),
                             dbc.Tooltip("Select how many features to display", target='importances-depth-label-'+self.name)
-                        ], md=2), self.hide_depth),
-                    make_hideable(
-                        dbc.Col([
-                            dbc.FormGroup([
-                                dbc.Label("Grouping:", id='importances-group-cats-label-'+self.name),
-                                dbc.Tooltip("Group onehot encoded categorical variables together", 
-                                            target='importances-group-cats-label-'+self.name),
-                                dbc.Checklist(
-                                    options=[
-                                        {"label": "Group cats", "value": True},
-                                    ],
-                                    value=[True] if self.cats else [],
-                                    id='importances-group-cats-'+self.name,
-                                    inline=True,
-                                    switch=True,
-                                ),
-                            ]),
-                        ]),  self.hide_cats),    
+                        ], md=2), self.hide_depth),   
                     make_hideable(
                             dbc.Col([self.selector.layout()
                         ], width=2), hide=self.hide_selector)    
@@ -251,37 +229,28 @@ def layout(self):
         
     def component_callbacks(self, app, **kwargs):
         @app.callback(  
-            [Output('importances-graph-'+self.name, 'figure'),
-             Output('importances-depth-'+self.name, 'options')],
+            Output('importances-graph-'+self.name, 'figure'),
             [Input('importances-depth-'+self.name, 'value'),
-             Input('importances-group-cats-'+self.name, 'value'),
              Input('importances-permutation-or-shap-'+self.name, 'value'),
              Input('pos-label-'+self.name, 'value')],
         )
-        def update_importances(depth, cats, permutation_shap, pos_label):
+        def update_importances(depth, permutation_shap, pos_label):
             depth = None if depth is None else int(depth)
             plot =  self.explainer.plot_importances(
-                        kind=permutation_shap, topx=depth, 
-                        cats=bool(cats), pos_label=pos_label)
-            trigger = dash.callback_context.triggered[0]['prop_id'].split('.')[0]
-            if trigger == 'importances-group-cats-'+self.name:
-                depth_options = [{'label': str(i+1), 'value': i+1} 
-                                        for i in range(self.explainer.n_features(bool(cats)))]
-                return (plot, depth_options)
-            else:
-                return (plot, dash.no_update)
+                        kind=permutation_shap, topx=depth, pos_label=pos_label)
+            return plot
 
 
 class PdpComponent(ExplainerComponent):
     def __init__(self, explainer, title="Partial Dependence Plot", name=None,
                     subtitle="How does the prediction change if you change one feature?",
-                    hide_col=False, hide_index=False, hide_cats=False,
+                    hide_col=False, hide_index=False, 
                     hide_title=False,  hide_subtitle=False, 
                     hide_footer=False, hide_selector=False,
                     hide_dropna=False, hide_sample=False, 
                     hide_gridlines=False, hide_gridpoints=False, hide_cats_sort=False,
                     feature_input_component=None,
-                    pos_label=None, col=None, index=None, cats=True,
+                    pos_label=None, col=None, index=None, 
                     dropna=True, sample=100, gridlines=50, gridpoints=10,
                     cats_sort='freq',
                     description=None, **kwargs):
@@ -298,7 +267,6 @@ def __init__(self, explainer, title="Partial Dependence Plot", name=None,
             subtitle (str): subtitle
             hide_col (bool, optional): Hide feature selector. Defaults to False.
             hide_index (bool, optional): Hide index selector. Defaults to False.
-            hide_cats (bool, optional): Hide group cats toggle. Defaults to False.
             hide_title (bool, optional): Hide title, Defaults to False.
             hide_subtitle (bool, optional): Hide subtitle. Defaults to False.
             hide_footer (bool, optional): hide the footer at the bottom of the component
@@ -315,7 +283,6 @@ def __init__(self, explainer, title="Partial Dependence Plot", name=None,
                         Defaults to explainer.pos_label
             col (str, optional): Feature to display PDP for. Defaults to None.
             index ({int, str}, optional): Index to add ice line to plot. Defaults to None.
-            cats (bool, optional): Group categoricals for feature selector. Defaults to True.
             dropna (bool, optional): Drop rows where values equal explainer.na_fill (usually -999). Defaults to True.
             sample (int, optional): Sample size to calculate average partial dependence. Defaults to 100.
             gridlines (int, optional): Number of ice lines to display in plot. Defaults to 50.
@@ -330,10 +297,7 @@ def __init__(self, explainer, title="Partial Dependence Plot", name=None,
         self.index_name = 'pdp-index-'+self.name
 
         if self.col is None:
-            self.col = self.explainer.columns_ranked_by_shap(self.cats)[0]
-
-        if not self.explainer.onehot_cols:
-            self.hide_cats = True
+            self.col = self.explainer.columns_ranked_by_shap()[0]
             
         if self.feature_input_component is not None:
             self.exclude_callbacks(self.feature_input_component)
@@ -371,7 +335,7 @@ def layout(self):
                                             target='pdp-col-label-'+self.name),
                                 dbc.Select(id='pdp-col-'+self.name,       
                                     options=[{'label': col, 'value':col} 
-                                                for col in self.explainer.columns_ranked_by_shap(self.cats)],
+                                                for col in self.explainer.columns_ranked_by_shap()],
                                     value=self.col),
                             ], md=4), hide=self.hide_col),
                         make_hideable(
@@ -381,29 +345,12 @@ def layout(self):
                                         target='pdp-index-label-'+self.name),
                                 dcc.Dropdown(id='pdp-index-'+self.name, 
                                     options = [{'label': str(idx), 'value':idx} 
-                                                    for idx in self.explainer.idxs],
+                                                    for idx in self.explainer.get_index_list()],
                                     value=self.index)
                             ], md=4), hide=self.hide_index), 
                         make_hideable(
                             dbc.Col([self.selector.layout()
                         ], width=2), hide=self.hide_selector),
-                        make_hideable(
-                            dbc.Col([
-                                dbc.FormGroup([
-                                    dbc.Label("Grouping:", id='pdp-group-cats-label-'+self.name),
-                                    dbc.Tooltip("Group onehot encoded categorical variables together", 
-                                                target='pdp-group-cats-label-'+self.name),
-                                    dbc.Checklist(
-                                        options=[
-                                            {"label": "Group cats", "value": True},
-                                        ],
-                                        value=[True] if self.cats else [],
-                                        id='pdp-group-cats-'+self.name,
-                                        inline=True,
-                                        switch=True,
-                                    ),
-                                ]),
-                            ], md=2), hide=self.hide_cats),
                     ], form=True),
                     dbc.Row([
                         dbc.Col([
@@ -487,16 +434,6 @@ def component_callbacks(self, app):
         def update_pdp_sort_div(col):
             return {} if col in self.explainer.cat_cols else dict(display="none")
         
-        @app.callback(
-            Output('pdp-col-'+self.name, 'options'),
-            [Input('pdp-group-cats-'+self.name, 'value')],
-            [State('pos-label-'+self.name, 'value')]
-        )
-        def update_pdp_graph(cats, pos_label):
-            col_options = [{'label': col, 'value':col} 
-                                for col in self.explainer.columns_ranked_by_shap(bool(cats), pos_label=pos_label)]
-            return col_options
-        
         if self.feature_input_component is None:
             @app.callback(
                 Output('pdp-graph-'+self.name, 'figure'),
@@ -568,7 +505,7 @@ def __init__(self, explainer, title="Feature Input", name=None,
             
         self.index_name = 'feature-input-index-'+self.name
         
-        self._input_features = self.explainer.columns_ranked_by_shap(cats=True)
+        self._input_features = self.explainer.columns_ranked_by_shap()
         self._feature_inputs = [
             self._generate_dash_input(
                 feature, self.explainer.onehot_cols, self.explainer.onehot_dict, self.explainer.categorical_dict) 
@@ -640,7 +577,7 @@ def layout(self):
                                 dbc.Label(f"{self.explainer.index_name}:"),
                                 dcc.Dropdown(id='feature-input-index-'+self.name, 
                                     options = [{'label': str(idx), 'value':idx} 
-                                                    for idx in self.explainer.idxs],
+                                                    for idx in self.explainer.get_index_list()],
                                     value=self.index)
                             ], md=4), hide=self.hide_index), 
                     ], form=True),
@@ -658,7 +595,7 @@ def component_callbacks(self, app):
         def update_whatif_inputs(index):
             if index is None:
                 raise PreventUpdate
-            X_row = self.explainer.get_X_row(index, cats=True)[self.explainer.columns_ranked_by_shap(cats=True)]
+            X_row = self.explainer.get_X_row(index, merge=True)[self.explainer.columns_ranked_by_shap()]
             return X_row.values[0].tolist()
 
 
diff --git a/explainerdashboard/dashboard_components/regression_components.py b/explainerdashboard/dashboard_components/regression_components.py
index bce7e73..0b696f1 100644
--- a/explainerdashboard/dashboard_components/regression_components.py
+++ b/explainerdashboard/dashboard_components/regression_components.py
@@ -92,17 +92,21 @@ def __init__(self, explainer, title="Select Random Index", name=None,
             self.abs_residual_slider = [0.0, 1.0]
 
         if self.pred_slider is None:
-            self.pred_slider = [self.explainer.preds.min(), self.explainer.preds.max()]
+            self.pred_slider = [float(self.explainer.preds.min()), 
+                                float(self.explainer.preds.max())]
 
         if not self.explainer.y_missing:
             if self.y_slider is None:
-                self.y_slider = [self.explainer.y.min(), self.explainer.y.max()]
+                self.y_slider = [float(self.explainer.y.min()), 
+                                 float(self.explainer.y.max())]
 
             if self.residual_slider is None:
-                self.residual_slider = [self.explainer.residuals.min(), self.explainer.residuals.max()]
+                self.residual_slider = [float(self.explainer.residuals.min()), 
+                                        float(self.explainer.residuals.max())]
 
             if self.abs_residual_slider is None:
-                self.abs_residual_slider = [self.explainer.abs_residuals.min(), self.explainer.abs_residuals.max()]
+                self.abs_residual_slider = [float(self.explainer.abs_residuals.min()), 
+                                            float(self.explainer.abs_residuals.max())]
 
             assert (len(self.pred_slider)==2 and self.pred_slider[0]<=self.pred_slider[1]), \
                 "pred_slider should be a list of a [lower_bound, upper_bound]!"
@@ -121,7 +125,7 @@ def __init__(self, explainer, title="Select Random Index", name=None,
         self.residual_slider = [float(r) for r in self.residual_slider]
         self.abs_residual_slider = [float(a) for a in self.abs_residual_slider]
 
-        assert self.pred_or_y in ['preds', 'y'], "pred_or_y should be in ['preds', 'y']!"
+        assert self.pred_or_y in {'preds', 'y'}, "pred_or_y should be in ['preds', 'y']!"
 
         if self.description is None: self.description = f"""
         You can select a {self.explainer.index_name} directly by choosing it 
@@ -151,7 +155,7 @@ def layout(self):
                         dbc.Col([
                                 dcc.Dropdown(id='random-index-reg-index-'+self.name,
                                         options = [{'label': str(idx), 'value':idx}
-                                                        for idx in self.explainer.idxs],
+                                                        for idx in self.explainer.get_index_list()],
                                         value=self.index)
                             ], md=8), hide=self.hide_index),
                     make_hideable(
@@ -231,8 +235,8 @@ def layout(self):
                                         id='random-index-reg-residual-slider-'+self.name,
                                         min=float(self.explainer.residuals.min()),
                                         max=float(self.explainer.residuals.max()),
-                                        step=np.float_power(10, -self.round),
-                                        value=[self.residual_slider[0], self.residual_slider[1]],
+                                        step=float(np.float_power(10, -self.round)),
+                                        value=[float(self.residual_slider[0]), float(self.residual_slider[1])],
                                         marks={float(self.explainer.residuals.min()): str(np.round(self.explainer.residuals.min(), self.round)),
                                             float(self.explainer.residuals.max()): str(np.round(self.explainer.residuals.max(), self.round))},
                                         allowCross=False,
@@ -250,8 +254,8 @@ def layout(self):
                                         id='random-index-reg-abs-residual-slider-'+self.name,
                                         min=float(self.explainer.abs_residuals.min()),
                                         max=float(self.explainer.abs_residuals.max()),
-                                        step=np.float_power(10, -self.round),
-                                        value=[self.abs_residual_slider[0], self.abs_residual_slider[1]],
+                                        step=float(np.float_power(10, -self.round)),
+                                        value=[float(self.abs_residual_slider[0]), float(self.abs_residual_slider[1])],
                                         marks={float(self.explainer.abs_residuals.min()): str(np.round(self.explainer.abs_residuals.min(), self.round)),
                                             float(self.explainer.abs_residuals.max()): str(np.round(self.explainer.abs_residuals.max(), self.round))},
                                         allowCross=False,
@@ -281,103 +285,6 @@ def layout(self):
                                                 target='random-index-reg-abs-residual-label-'+self.name),
                                 ], md=4), hide=self.hide_abs_residuals),
                     ]),
-                    # make_hideable(
-                    #     html.Div([
-                    #     html.Div([
-                    #         dbc.Row([
-                    #             dbc.Col([
-                    #                 html.Div([
-                    #                     dbc.Label("Residuals range:", id='random-index-reg-residual-slider-label-'+self.name,
-                    #                         html_for='random-index-reg-residual-slider-'+self.name),
-                    #                     dbc.Tooltip(f"Only select {self.explainer.index_name} where the "
-                    #                                 f"residual (difference between observed {self.explainer.target} and predicted {self.explainer.target})"
-                    #                                 " was within the following range:", 
-                    #                         target='random-index-reg-residual-slider-label-'+self.name),
-                    #                     dcc.RangeSlider(
-                    #                         id='random-index-reg-residual-slider-'+self.name,
-                    #                         min=float(self.explainer.residuals.min()),
-                    #                         max=float(self.explainer.residuals.max()),
-                    #                         step=np.float_power(10, -self.round),
-                    #                         value=[self.residual_slider[0], self.residual_slider[1]],
-                    #                         marks={float(self.explainer.residuals.min()): str(np.round(self.explainer.residuals.min(), self.round)),
-                    #                             float(self.explainer.residuals.max()): str(np.round(self.explainer.residuals.max(), self.round))},
-                    #                         allowCross=False,
-                    #                         tooltip={'always_visible' : False}
-                    #                     )
-                    #                 ], style={'margin-bottom':0})
-                    #             ], md=8)
-                    #         ]),
-                    #     ], id='random-index-reg-residual-slider-div-'+self.name),
-                    #     html.Div([
-                    #         dbc.Row([
-                    #             dbc.Col([
-                    #                 html.Div([
-                    #                     dbc.Label("Absolute residuals", id='random-index-reg-abs-residual-slider-label'+self.name,
-                    #                         html_for='random-index-reg-abs-residual-slider-'+self.name),
-                    #                     dbc.Tooltip(f"Only select {self.explainer.index_name} where the absolute "
-                    #                                 f"residual (difference between observed {self.explainer.target} and predicted {self.explainer.target})"
-                    #                                 " was within the following range:", 
-                    #                         target='random-index-reg-abs-residual-slider-label'+self.name),
-                    #                     dcc.RangeSlider(
-                    #                         id='random-index-reg-abs-residual-slider-'+self.name,
-                    #                         min=float(self.explainer.abs_residuals.min()),
-                    #                         max=float(self.explainer.abs_residuals.max()),
-                    #                         step=np.float_power(10, -self.round),
-                    #                         value=[self.abs_residual_slider[0], self.abs_residual_slider[1]],
-                    #                         marks={float(self.explainer.abs_residuals.min()): str(np.round(self.explainer.abs_residuals.min(), self.round)),
-                    #                             float(self.explainer.abs_residuals.max()): str(np.round(self.explainer.abs_residuals.max(), self.round))},
-                    #                         allowCross=False,
-                    #                         tooltip={'always_visible' : False}
-                    #                     )
-                    #                 ], style={'margin-bottom':0})
-                    #             ], md=8)
-                    #         ])
-                    #     ], id='random-index-reg-abs-residual-slider-div-'+self.name),
-                    # ]), hide=self.hide_residual_slider),
-                    # dbc.Row([
-                    #     make_hideable(
-                    #         dbc.Col([
-                    #             dbc.Label("Residuals:", id='random-index-reg-abs-residual-label-'+self.name,
-                    #                         html_for='random-index-reg-abs-residual-'+self.name),
-                    #             dbc.Select(
-                    #                 id='random-index-reg-abs-residual-'+self.name,
-                    #                 options=[
-                    #                     {'label': 'Residuals', 'value': 'relative'},
-                    #                     {'label': 'Absolute Residuals', 'value': 'absolute'},
-                    #                 ],
-                    #                 value='absolute' if self.abs_residuals else 'relative'),
-                    #             dbc.Tooltip(f"You can either only select random a {self.explainer.index_name} "
-                    #                         f"from within a certain range of residuals "
-                    #                         f"(difference between observed and predicted {self.explainer.target}), "
-                    #                         f"so for example only {self.explainer.index_name} for whom the prediction "
-                    #                         f"was too high or too low."
-                    #                         f"Or you can select only from a certain absolute residual range. So for "
-                    #                         f"example only select {self.explainer.index_name} for which the prediction was at "
-                    #                         f"least a certain amount of {self.explainer.units} off.",
-                    #             target='random-index-reg-abs-residual-label-'+self.name),
-                    #         ], md=4), hide=self.hide_pred_or_y),
-                    #     make_hideable(
-                    #         dbc.Col([
-                    #             html.Div([
-                    #                 dbc.Select(
-                    #                     id='random-index-reg-abs-residual-'+self.name,
-                    #                     options=[
-                    #                         {'label': 'Use Residuals', 'value': 'relative'},
-                    #                         {'label': 'Use Absolute Residuals', 'value': 'absolute'},
-                    #                     ],
-                    #                     value='absolute' if self.abs_residuals else 'relative'),
-                    #             ], id='random-index-reg-abs-residual-div-'+self.name),
-                    #             dbc.Tooltip(f"You can either only select random a {self.explainer.index_name} "
-                    #                         f"from within a certain range of residuals "
-                    #                         f"(difference between observed and predicted {self.explainer.target}), "
-                    #                         f"so for example only {self.explainer.index_name} for whom the prediction "
-                    #                         f"was too high or too low."
-                    #                         f"Or you can select only from a certain absolute residual range. So for "
-                    #                         f"example only select {self.explainer.index_name} for which the prediction was at "
-                    #                         f"least a certain amount of {self.explainer.units} off.",
-                    #             target='random-index-reg-abs-residual-div-'+self.name),
-
-                    #         ], md=4), hide=self.hide_abs_residuals),
                     ]),
             ])
 
@@ -420,15 +327,15 @@ def update_reg_hidden_div_pred_sliders(abs_residuals):
              State('random-index-reg-abs-residual-slider-'+self.name, 'value')])
         def update_residual_slider_limits(pred_range, y_range, preds_or_y, residuals_range, abs_residuals_range):
             if preds_or_y=='preds':
-                min_residuals = self.explainer.residuals[(self.explainer.preds >= pred_range[0]) & (self.explainer.preds <= pred_range[1])].min()
-                max_residuals = self.explainer.residuals[(self.explainer.preds >= pred_range[0]) & (self.explainer.preds <= pred_range[1])].max()
-                min_abs_residuals = self.explainer.abs_residuals[(self.explainer.preds >= pred_range[0]) & (self.explainer.preds <= pred_range[1])].min()
-                max_abs_residuals = self.explainer.abs_residuals[(self.explainer.preds >= pred_range[0]) & (self.explainer.preds <= pred_range[1])].max()
+                min_residuals = float(self.explainer.residuals[(self.explainer.preds >= pred_range[0]) & (self.explainer.preds <= pred_range[1])].min())
+                max_residuals = float(self.explainer.residuals[(self.explainer.preds >= pred_range[0]) & (self.explainer.preds <= pred_range[1])].max())
+                min_abs_residuals = float(self.explainer.abs_residuals[(self.explainer.preds >= pred_range[0]) & (self.explainer.preds <= pred_range[1])].min())
+                max_abs_residuals = float(self.explainer.abs_residuals[(self.explainer.preds >= pred_range[0]) & (self.explainer.preds <= pred_range[1])].max())
             elif preds_or_y=='y':
-                min_residuals = self.explainer.residuals[(self.explainer.y >= y_range[0]) & (self.explainer.y <= y_range[1])].min()
-                max_residuals = self.explainer.residuals[(self.explainer.y >= y_range[0]) & (self.explainer.y <= y_range[1])].max()
-                min_abs_residuals = self.explainer.abs_residuals[(self.explainer.y >= y_range[0]) & (self.explainer.y <= y_range[1])].min()
-                max_abs_residuals = self.explainer.abs_residuals[(self.explainer.y >= y_range[0]) & (self.explainer.y <= y_range[1])].max()
+                min_residuals = float(self.explainer.residuals[(self.explainer.y >= y_range[0]) & (self.explainer.y <= y_range[1])].min())
+                max_residuals = float(self.explainer.residuals[(self.explainer.y >= y_range[0]) & (self.explainer.y <= y_range[1])].max())
+                min_abs_residuals = float(self.explainer.abs_residuals[(self.explainer.y >= y_range[0]) & (self.explainer.y <= y_range[1])].min())
+                max_abs_residuals = float(self.explainer.abs_residuals[(self.explainer.y >= y_range[0]) & (self.explainer.y <= y_range[1])].max())
 
             new_residuals_range = [max(min_residuals, residuals_range[0]), min(max_residuals, residuals_range[1])]
             new_abs_residuals_range = [max(min_abs_residuals, abs_residuals_range[0]), min(max_abs_residuals, abs_residuals_range[1])]
@@ -534,7 +441,7 @@ def layout(self):
                             dbc.Label(f"{self.explainer.index_name}:"),
                             dcc.Dropdown(id='reg-prediction-index-'+self.name, 
                                     options = [{'label': str(idx), 'value':idx} 
-                                                    for idx in self.explainer.idxs],
+                                                    for idx in self.explainer.get_index_list()],
                                     value=self.index)
                         ], md=6), hide=self.hide_index),          
                 ]),
@@ -791,9 +698,9 @@ class RegressionVsColComponent(ExplainerComponent):
     def __init__(self, explainer, title="Plot vs feature", name=None,
                     subtitle="Are predictions and residuals correlated with features?",
                     hide_title=False, hide_subtitle=False, hide_footer=False,
-                    hide_col=False, hide_ratio=False, hide_cats=False, 
+                    hide_col=False, hide_ratio=False, 
                     hide_points=False, hide_winsor=False,
-                    col=None, display='difference', cats=True, 
+                    col=None, display='difference', 
                     points=True, winsor=0, description=None, **kwargs):
         """Show residuals, observed or preds vs a particular Feature component
 
@@ -811,13 +718,11 @@ def __init__(self, explainer, title="Plot vs feature", name=None,
             hide_footer (bool, optional): hide the footer at the bottom of the component
             hide_col (bool, optional): Hide de column selector. Defaults to False.
             hide_ratio (bool, optional): Hide the  toggle. Defaults to False.
-            hide_cats (bool, optional): Hide group cats toggle. Defaults to False.
             hide_points (bool, optional): Hide group points toggle. Defaults to False.
             hide_winsor (bool, optional): Hide winsor input. Defaults to False.
             col ([type], optional): Initial feature to display. Defaults to None.
             display (str, {'observed', 'predicted', difference', 'ratio', 'log-ratio'} optional): 
                     What to display on y axis. Defaults to 'difference'.
-            cats (bool, optional): group categorical columns. Defaults to True.
             points (bool, optional): display point cloud next to violin plot 
                     for categorical cols. Defaults to True
             winsor (int, 0-50, optional): percentage of outliers to winsor out of 
@@ -828,7 +733,7 @@ def __init__(self, explainer, title="Plot vs feature", name=None,
         super().__init__(explainer, title, name)
 
         if self.col is None:
-            self.col = self.explainer.columns_ranked_by_shap(self.cats)[0]
+            self.col = self.explainer.columns_ranked_by_shap()[0]
         
         assert self.display in {'observed', 'predicted', 'difference', 'ratio', 'log-ratio'}, \
             ("parameter display should in {'observed', 'predicted', 'difference', 'ratio', 'log-ratio'}"
@@ -862,7 +767,7 @@ def layout(self):
                                         target='reg-vs-col-col-label-'+self.name),
                             dbc.Select(id='reg-vs-col-col-'+self.name,
                                 options=[{'label': col, 'value':col} 
-                                                for col in self.explainer.columns_ranked_by_shap(self.cats)],
+                                                for col in self.explainer.columns_ranked_by_shap()],
                                 value=self.col),
                         ], md=4), hide=self.hide_col),
                     make_hideable(
@@ -882,21 +787,6 @@ def layout(self):
                                                     {'label': 'Residuals: Log ratio', 'value': 'log-ratio'}],
                                         value=self.display),
                             ], md=4), hide=self.hide_ratio),
-                    make_hideable(
-                            dbc.Col([
-                                dbc.FormGroup([
-                                    dbc.Label("Grouping:", id='reg-vs-col-group-cats-label-'+self.name),
-                                    dbc.Tooltip("Group onehot encoded categorical variables together", 
-                                                target='reg-vs-col-group-cats-label-'+self.name),
-                                    dbc.Checklist(
-                                        options=[{"label": "Group cats", "value": True}],
-                                        value=[True] if self.cats else [],
-                                        id='reg-vs-col-group-cats-'+self.name,
-                                        inline=True,
-                                        switch=True,
-                                    ),
-                                ]),
-                            ], md=2), self.hide_cats),
                 ]),
                 dbc.Row([
                     dbc.Col([
@@ -966,13 +856,6 @@ def update_residuals_graph(col, display, points, winsor):
                             col, residuals=display, points=bool(points), 
                             winsor=winsor, dropna=True), style
 
-        @app.callback(
-            Output('reg-vs-col-col-'+self.name, 'options'),
-            [Input('reg-vs-col-group-cats-'+self.name, 'value')])
-        def update_dependence_shap_scatter_graph(cats):
-            return [{'label': col, 'value': col} 
-                for col in self.explainer.columns_ranked_by_shap(bool(cats))]
-
 
 class RegressionModelSummaryComponent(ExplainerComponent):
     def __init__(self, explainer, title="Model Summary", name=None, 
diff --git a/explainerdashboard/dashboard_components/shap_components.py b/explainerdashboard/dashboard_components/shap_components.py
index ab85642..e026815 100644
--- a/explainerdashboard/dashboard_components/shap_components.py
+++ b/explainerdashboard/dashboard_components/shap_components.py
@@ -22,9 +22,9 @@ class ShapSummaryComponent(ExplainerComponent):
     def __init__(self, explainer, title='Shap Summary', name=None,
                     subtitle="Ordering features by shap value",
                     hide_title=False, hide_subtitle=False, hide_depth=False, 
-                    hide_type=False, hide_cats=False, hide_index=False, hide_selector=False,
+                    hide_type=False, hide_index=False, hide_selector=False,
                     pos_label=None, depth=None, 
-                    summary_type="aggregate", cats=True, index=None,
+                    summary_type="aggregate", index=None,
                     description=None, **kwargs):
         """Shows shap summary component
 
@@ -43,24 +43,19 @@ def __init__(self, explainer, title='Shap Summary', name=None,
                         Defaults to False.
             hide_type (bool, optional): hide the summary type toggle 
                         (aggregated, detailed). Defaults to False.
-            hide_cats (bool, optional): hide the group cats toggle. Defaults to False.
             hide_selector (bool, optional): hide pos label selector. Defaults to False.
             pos_label ({int, str}, optional): initial pos label. 
                         Defaults to explainer.pos_label
             depth (int, optional): initial number of features to show. Defaults to None.
             summary_type (str, {'aggregate', 'detailed'}. optional): type of 
                         summary graph to show. Defaults to "aggregate".
-            cats (bool, optional): group cats. Defaults to True.
             description (str, optional): Tooltip to display when hover over
                 component title. When None default text is shown. 
         """
         super().__init__(explainer, title, name)
 
-        if not self.explainer.onehot_cols:
-            self.hide_cats = True
-        
         if self.depth is not None:
-            self.depth = min(self.depth, self.explainer.n_features(cats))
+            self.depth = min(self.depth, self.explainer.n_features())
 
         self.index_name = 'shap-summary-index-'+self.name
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
@@ -70,7 +65,7 @@ def __init__(self, explainer, title='Shap Summary', name=None,
         per feature. Or get a more detailed look at the spread of shap values per
         feature and how they correlate the the feature value (red is high).
         """
-        self.register_dependencies('shap_values', 'shap_values_cats')
+        self.register_dependencies('shap_values_df')
              
     def layout(self):
         return dbc.Card([
@@ -91,7 +86,7 @@ def layout(self):
                                         target='shap-summary-depth-label-'+self.name),
                             dbc.Select(id='shap-summary-depth-'+self.name,
                                 options=[{'label': str(i+1), 'value': i+1} for i in 
-                                            range(self.explainer.n_features(self.cats))],
+                                            range(self.explainer.n_features())],
                                 value=self.depth)
                         ], md=2), self.hide_depth),
                     make_hideable(
@@ -113,21 +108,6 @@ def layout(self):
                                 ]
                             )
                         ]), self.hide_type),
-                    make_hideable(
-                        dbc.Col([
-                            dbc.FormGroup([
-                                    dbc.Label("Grouping:", id='shap-summary-group-cats-label-'+self.name),
-                                    dbc.Tooltip("Group onehot encoded categorical variables together", 
-                                                target='shap-summary-group-cats-label-'+self.name),
-                                    dbc.Checklist(
-                                        options=[{"label": "Group cats", "value": True}],
-                                        value=[True] if self.cats else [],
-                                        id='shap-summary-group-cats-'+self.name,
-                                        inline=True,
-                                        switch=True,
-                                    ),
-                                ]),
-                        ], md=3), self.hide_cats),
                     make_hideable(
                         dbc.Col([
                             html.Div([
@@ -137,7 +117,7 @@ def layout(self):
                                             target='shap-summary-index-label-'+self.name),
                                 dcc.Dropdown(id='shap-summary-index-'+self.name, 
                                     options = [{'label': str(idx), 'value':idx} 
-                                                    for idx in self.explainer.idxs],
+                                                    for idx in self.explainer.get_index_list()],
                                     value=self.index),
                             ], id='shap-summary-index-col-'+self.name, style=dict(display="none")), 
                         ], md=3), hide=self.hide_index),  
@@ -165,45 +145,38 @@ def display_scatter_click_data(clickdata):
 
         @app.callback(
             [Output('shap-summary-graph-'+self.name, 'figure'),
-             Output('shap-summary-depth-'+self.name, 'options'),
              Output('shap-summary-index-col-'+self.name, 'style')],
             [Input('shap-summary-type-'+self.name, 'value'),
-             Input('shap-summary-group-cats-'+self.name, 'value'),
              Input('shap-summary-depth-'+self.name, 'value'),
              Input('shap-summary-index-'+self.name, 'value'),
              Input('pos-label-'+self.name, 'value')])
-        def update_shap_summary_graph(summary_type, cats, depth, index, pos_label):
-            cats = bool(cats)
+        def update_shap_summary_graph(summary_type, depth, index, pos_label):
             depth = None if depth is None else int(depth)
             if summary_type == 'aggregate':
                 plot = self.explainer.plot_importances(
-                        kind='shap', topx=depth, cats=cats, pos_label=pos_label)
+                        kind='shap', topx=depth, pos_label=pos_label)
             elif summary_type == 'detailed':
                 plot = self.explainer.plot_shap_summary(
-                        topx=depth, cats=cats, pos_label=pos_label, index=index)
+                        topx=depth, pos_label=pos_label, index=index)
             ctx = dash.callback_context
             trigger = ctx.triggered[0]['prop_id'].split('.')[0]
-            if trigger == 'shap-summary-group-cats-'+self.name:
-                depth_options = [{'label': str(i+1), 'value': i+1} 
-                                        for i in range(self.explainer.n_features(cats))]
-                return (plot, depth_options, dash.no_update)
-            elif trigger == 'shap-summary-type-'+self.name:
+            if trigger == 'shap-summary-type-'+self.name:
                 if summary_type == 'aggregate':
-                    return (plot, dash.no_update, dict(display="none"))
+                    return (plot, dict(display="none"))
                 elif summary_type == 'detailed':
-                    return (plot, dash.no_update, {})
+                    return (plot, {})
             else:
-                return (plot, dash.no_update, dash.no_update)
+                return (plot, dash.no_update)
 
 
 class ShapDependenceComponent(ExplainerComponent):
     def __init__(self, explainer, title='Shap Dependence', name=None,
                     subtitle="Relationship between feature value and SHAP value",
-                    hide_title=False, hide_subtitle=False, hide_cats=False, hide_col=False, 
+                    hide_title=False, hide_subtitle=False, hide_col=False, 
                     hide_color_col=False, hide_index=False,
                     hide_selector=False, hide_cats_topx=False, hide_cats_sort=False,
                     hide_footer=False,
-                    pos_label=None, cats=True, 
+                    pos_label=None, 
                     col=None, color_col=None, index=None, 
                     cats_topx=10, cats_sort='freq',
                     description=None, **kwargs):
@@ -220,7 +193,6 @@ def __init__(self, explainer, title='Shap Dependence', name=None,
             subtitle (str): subtitle
             hide_title (bool, optional): hide component title. Defaults to False.
             hide_subtitle (bool, optional): Hide subtitle. Defaults to False.
-            hide_cats (bool, optional): hide group cats toggle. Defaults to False.
             hide_col (bool, optional): hide feature selector. Defaults to False.
             hide_color_col (bool, optional): hide color feature selector Defaults to False.
             hide_index (bool, optional): hide index selector Defaults to False.
@@ -230,13 +202,10 @@ def __init__(self, explainer, title='Shap Dependence', name=None,
             hide_footer (bool, optional): hide the footer.
             pos_label ({int, str}, optional): initial pos label. 
                         Defaults to explainer.pos_label
-            cats (bool, optional): group cats. Defaults to True.
             col (str, optional): Feature to display. Defaults to None.
             color_col (str, optional): Color plot by values of this Feature. 
                         Defaults to None.
             index (int, optional): Highlight a particular index. Defaults to None.
-            cats_topx (int, optional): number of categories to display for 
-                categorical features.
             cats_sort (str, optional): how to sort categories: 'alphabet', 
                 'freq' or 'shap'. Defaults to 'freq'.
             description (str, optional): Tooltip to display when hover over
@@ -245,9 +214,9 @@ def __init__(self, explainer, title='Shap Dependence', name=None,
         super().__init__(explainer, title, name)
 
         if self.col is None:
-            self.col = self.explainer.columns_ranked_by_shap(self.cats)[0]
+            self.col = self.explainer.columns_ranked_by_shap()[0]
         if self.color_col is None:
-            self.color_col = self.explainer.shap_top_interactions(self.col, cats=cats)[1]
+            self.color_col = self.explainer.top_shap_interactions(self.col)[1]
 
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
         self.index_name = 'shap-dependence-index-'+self.name
@@ -261,7 +230,7 @@ def __init__(self, explainer, title='Shap Dependence', name=None,
         about the relationships that the model has learned between the input features
         and the predicted outcome.
         """
-        self.register_dependencies('shap_values', 'shap_values_cats')
+        self.register_dependencies('shap_values_df')
              
     def layout(self):
         return dbc.Card([
@@ -280,22 +249,6 @@ def layout(self):
                         ], width=2), hide=self.hide_selector),    
                 ]),
                 dbc.Row([
-                    make_hideable(
-                        dbc.Col([
-                            dbc.FormGroup([
-                                    dbc.Label("Grouping:", id='shap-dependence-group-cats-label-'+self.name),
-                                    dbc.Tooltip("Group onehot encoded categorical variables together", 
-                                                target='shap-dependence-group-cats-label-'+self.name),
-                                    dbc.Checklist(
-                                        options=[{"label": "Group cats", "value": True}],
-                                        value=[True] if self.cats else [],
-                                        id='shap-dependence-group-cats-'+self.name,
-                                        inline=True,
-                                        switch=True,
-                                    ),
-                                ]),
-                            
-                        ],  md=2), self.hide_cats),
                     make_hideable(
                         dbc.Col([
                             dbc.Label('Feature:', id='shap-dependence-col-label-'+self.name),
@@ -303,7 +256,7 @@ def layout(self):
                                         target='shap-dependence-col-label-'+self.name),
                             dbc.Select(id='shap-dependence-col-'+self.name, 
                                 options=[{'label': col, 'value':col} 
-                                            for col in self.explainer.columns_ranked_by_shap(self.cats)],
+                                            for col in self.explainer.columns_ranked_by_shap()],
                                 value=self.col)
                         ], md=3), self.hide_col),
                     make_hideable(dbc.Col([
@@ -313,7 +266,7 @@ def layout(self):
                                         target='shap-dependence-color-col-label-'+self.name),
                             dbc.Select(id='shap-dependence-color-col-'+self.name, 
                                 options=[{'label': col, 'value':col} 
-                                            for col in self.explainer.columns_ranked_by_shap(self.cats)]+[dict(label="None", value="no_color_col")],
+                                            for col in self.explainer.columns_ranked_by_shap()]+[dict(label="None", value="no_color_col")],
                                 value=self.color_col),   
                     ], md=3), self.hide_color_col),
                     make_hideable(
@@ -325,7 +278,7 @@ def layout(self):
                                         target='shap-dependence-index-label-'+self.name),
                             dcc.Dropdown(id='shap-dependence-index-'+self.name, 
                                 options = [{'label': str(idx), 'value':idx} 
-                                                for idx in self.explainer.idxs],
+                                                for idx in self.explainer.get_index_list()],
                                 value=self.index)
                         ], md=4), hide=self.hide_index),         
                 ], form=True),
@@ -371,11 +324,10 @@ def component_callbacks(self, app):
              Output('shap-dependence-color-col-'+self.name, 'value'),
              Output('shap-dependence-categories-div-'+self.name, 'style')],
             [Input('shap-dependence-col-'+self.name, 'value')],
-            [State('shap-dependence-group-cats-'+self.name, 'value'),
-             State('pos-label-'+self.name, 'value')])
-        def set_color_col_dropdown(col, cats, pos_label):
-            sorted_interact_cols = self.explainer.shap_top_interactions(
-                                    col, cats=bool(cats), pos_label=pos_label)
+            [State('pos-label-'+self.name, 'value')])
+        def set_color_col_dropdown(col, pos_label):
+            sorted_interact_cols = self.explainer.top_shap_interactions(
+                                    col, pos_label=pos_label)
             options = ([{'label': col, 'value':col} 
                             for col in sorted_interact_cols] 
                             + [dict(label="None", value="no_color_col")])
@@ -403,22 +355,12 @@ def update_dependence_graph(color_col, index, topx, sort, pos_label, col):
                             col, color_col, topx=topx, sort=sort, 
                             highlight_index=index, pos_label=pos_label)
             raise PreventUpdate
-
-        @app.callback(
-            Output('shap-dependence-col-'+self.name, 'options'),
-            [Input('shap-dependence-group-cats-'+self.name, 'value')],
-            [State('shap-dependence-col-'+self.name, 'value')])
-        def update_dependence_shap_scatter_graph(cats, old_col):
-            options = [{'label': col, 'value': col} 
-                                    for col in self.explainer.columns_ranked_by_shap(bool(cats))]
-            return options
             
 
 class ShapSummaryDependenceConnector(ExplainerComponent):
     def __init__(self, shap_summary_component, shap_dependence_component):
         """Connects a ShapSummaryComponent with a ShapDependence Component:
 
-        - When group cats in ShapSummary, then group cats in ShapDependence
         - When clicking on feature in ShapSummary, then select that feature in ShapDependence
 
         Args:
@@ -429,12 +371,6 @@ def __init__(self, shap_summary_component, shap_dependence_component):
         self.dep_name = shap_dependence_component.name
 
     def component_callbacks(self, app):
-        @app.callback(
-            Output('shap-dependence-group-cats-'+self.dep_name, 'value'),
-            [Input('shap-summary-group-cats-'+self.sum_name, 'value')])
-        def update_dependence_shap_scatter_graph(cats):
-            return cats
-
         @app.callback(
             [Output('shap-dependence-index-'+self.dep_name, 'value'),
              Output('shap-dependence-col-'+self.dep_name, 'value')],
@@ -456,9 +392,9 @@ class InteractionSummaryComponent(ExplainerComponent):
     def __init__(self, explainer, title="Interactions Summary", name=None,
                     subtitle="Ordering features by shap interaction value",
                     hide_title=False, hide_subtitle=False, hide_col=False, hide_depth=False, 
-                    hide_type=False, hide_cats=False, hide_index=False, hide_selector=False,
+                    hide_type=False, hide_index=False, hide_selector=False,
                     pos_label=None, col=None, depth=None, 
-                    summary_type="aggregate", cats=True, index=None, description=None,
+                    summary_type="aggregate", index=None, description=None,
                     **kwargs):
         """Show SHAP Interaciton values summary component
 
@@ -476,15 +412,16 @@ def __init__(self, explainer, title="Interactions Summary", name=None,
             hide_col (bool, optional): Hide the feature selector. Defaults to False.
             hide_depth (bool, optional): Hide depth toggle. Defaults to False.
             hide_type (bool, optional): Hide summary type toggle. Defaults to False.
-            hide_cats (bool, optional): Hide group cats toggle. Defaults to False.
             hide_index (bool, optional): Hide the index selector. Defaults to False
             hide_selector (bool, optional): hide pos label selector. Defaults to False.
             pos_label ({int, str}, optional): initial pos label. 
                         Defaults to explainer.pos_label
-            col (str, optional): Feature to show interaction summary for. Defaults to None.
-            depth (int, optional): Number of interaction features to display. Defaults to None.
-            summary_type (str, {'aggregate', 'detailed'}, optional): type of summary graph to display. Defaults to "aggregate".
-            cats (bool, optional): Group categorical features. Defaults to True.
+            col (str, optional): Feature to show interaction summary for. 
+                Defaults to None.
+            depth (int, optional): Number of interaction features to display. 
+                Defaults to None.
+            summary_type (str, {'aggregate', 'detailed'}, optional): type of 
+                summary graph to display. Defaults to "aggregate".
             index (str):    Default index. Defaults to None.
             description (str, optional): Tooltip to display when hover over
                 component title. When None default text is shown. 
@@ -492,11 +429,9 @@ def __init__(self, explainer, title="Interactions Summary", name=None,
         super().__init__(explainer, title, name)
     
         if self.col is None:
-            self.col = self.explainer.columns_ranked_by_shap(self.cats)[0]
+            self.col = self.explainer.columns_ranked_by_shap()[0]
         if self.depth is not None:
-            self.depth = min(self.depth, self.explainer.n_features(self.cats)-1)
-        if not self.explainer.onehot_cols:
-            self.hide_cats = True
+            self.depth = min(self.depth, self.explainer.n_features()-1)
         self.index_name = 'interaction-summary-index-'+self.name
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
         if self.description is None: self.description = """
@@ -508,7 +443,7 @@ def __init__(self, explainer, title="Interactions Summary", name=None,
         for example passenger class (first class women more likely to survive than
         average woman, third class women less likely).
         """
-        self.register_dependencies("shap_interaction_values", "shap_interaction_values_cats")
+        self.register_dependencies("shap_interaction_values")
 
     def layout(self):
         return dbc.Card([
@@ -529,7 +464,7 @@ def layout(self):
                                     target='interaction-summary-col-label-'+self.name),
                             dbc.Select(id='interaction-summary-col-'+self.name, 
                                 options=[{'label': col, 'value': col} 
-                                            for col in self.explainer.columns_ranked_by_shap(self.cats)],
+                                            for col in self.explainer.columns_ranked_by_shap()],
                                 value=self.col),
                         ], md=2), self.hide_col),
                     make_hideable(
@@ -540,7 +475,7 @@ def layout(self):
                                     target='interaction-summary-depth-label-'+self.name),
                             dbc.Select(id='interaction-summary-depth-'+self.name, 
                                 options = [{'label': str(i+1), 'value':i+1} 
-                                                for i in range(self.explainer.n_features(self.cats)-1)],
+                                                for i in range(self.explainer.n_features()-1)],
                                 value=self.depth)
                         ], md=2), self.hide_depth),
                     make_hideable(
@@ -562,21 +497,6 @@ def layout(self):
                                 ]
                             )
                         ], md=3), self.hide_type),
-                    make_hideable(
-                        dbc.Col([
-                            dbc.FormGroup([
-                                    dbc.Label("Grouping:", id='interaction-summary-group-cats-label-'+self.name),
-                                    dbc.Tooltip("Group onehot encoded categorical variables together", 
-                                                target='interaction-summary-group-cats-label-'+self.name),
-                                    dbc.Checklist(
-                                        options=[{"label": "Group cats", "value": True}],
-                                        value=[True] if self.cats else [],
-                                        id='interaction-summary-group-cats-'+self.name,
-                                        inline=True,
-                                        switch=True,
-                                    ),
-                                ]),
-                        ],md=2), self.hide_cats),
                     make_hideable(
                         dbc.Col([
                             html.Div([
@@ -586,7 +506,7 @@ def layout(self):
                                             target='interaction-summary-index-label-'+self.name),
                                 dcc.Dropdown(id='interaction-summary-index-'+self.name, 
                                     options = [{'label': str(idx), 'value':idx} 
-                                                    for idx in self.explainer.idxs],
+                                                    for idx in self.explainer.get_index_list()],
                                     value=self.index),
                             ], id='interaction-summary-index-col-'+self.name, style=dict(display="none")), 
                         ], md=3), hide=self.hide_index),  
@@ -615,18 +535,6 @@ def display_scatter_click_data(clickdata):
                     return index
             raise PreventUpdate
 
-        @app.callback(
-            [Output('interaction-summary-depth-'+self.name, 'options'),
-             Output('interaction-summary-col-'+self.name, 'options')],
-            [Input('interaction-summary-group-cats-'+self.name, 'value'),
-             Input('pos-label-'+self.name, 'value')])
-        def update_interaction_scatter_graph(cats, pos_label):
-            depth_options = [{'label': str(i+1), 'value': i+1} 
-                                    for i in range(self.explainer.n_features(bool(cats)))]
-            new_cols = self.explainer.columns_ranked_by_shap(bool(cats), pos_label=pos_label)
-            new_col_options = [{'label': col, 'value':col} for col in new_cols]
-            return depth_options, new_col_options
-
         @app.callback(
             [Output('interaction-summary-graph-'+self.name, 'figure'),
              Output('interaction-summary-index-col-'+self.name, 'style')],
@@ -634,18 +542,17 @@ def update_interaction_scatter_graph(cats, pos_label):
              Input('interaction-summary-depth-'+self.name, 'value'),
              Input('interaction-summary-type-'+self.name, 'value'),
              Input('interaction-summary-index-'+self.name, 'value'),
-             Input('pos-label-'+self.name, 'value'),
-             Input('interaction-summary-group-cats-'+self.name, 'value')])
-        def update_interaction_scatter_graph(col, depth, summary_type, index, pos_label, cats):
+             Input('pos-label-'+self.name, 'value')])
+        def update_interaction_scatter_graph(col, depth, summary_type, index, pos_label):
             if col is not None:
                 depth = None if depth is None else int(depth)
                 if summary_type=='aggregate':
                     plot = self.explainer.plot_interactions(
-                        col, topx=depth, cats=bool(cats), pos_label=pos_label)
+                        col, topx=depth, pos_label=pos_label)
                     return plot, dict(display="none")
                 elif summary_type=='detailed':
                     plot = self.explainer.plot_shap_interaction_summary(
-                        col, topx=depth, cats=bool(cats), pos_label=pos_label, index=index)
+                        col, topx=depth, pos_label=pos_label, index=index)
                 return plot, {}
             raise PreventUpdate
 
@@ -653,11 +560,11 @@ def update_interaction_scatter_graph(col, depth, summary_type, index, pos_label,
 class InteractionDependenceComponent(ExplainerComponent):
     def __init__(self, explainer, title="Interaction Dependence", name=None,
                     subtitle="Relation between feature value and shap interaction value",
-                    hide_title=False, hide_subtitle=False, hide_cats=False, hide_col=False, 
+                    hide_title=False, hide_subtitle=False, hide_col=False, 
                     hide_interact_col=False, hide_index=False,
                     hide_selector=False, hide_cats_topx=False, hide_cats_sort=False,
                     hide_top=False, hide_bottom=False,
-                    pos_label=None, cats=True, col=None, interact_col=None,
+                    pos_label=None, col=None, interact_col=None,
                     cats_topx=10, cats_sort='freq',
                     description=None, index=None, **kwargs):
         """Interaction Dependence Component.
@@ -677,7 +584,6 @@ def __init__(self, explainer, title="Interaction Dependence", name=None,
             subtitle (str): subtitle
             hide_title (bool, optional): Hide component title. Defaults to False.
             hide_subtitle (bool, optional): Hide subtitle. Defaults to False.
-            hide_cats (bool, optional): Hide group cats toggle. Defaults to False.
             hide_col (bool, optional): Hide feature selector. Defaults to False.
             hide_interact_col (bool, optional): Hide interaction 
                         feature selector. Defaults to False.
@@ -695,7 +601,6 @@ def __init__(self, explainer, title="Interaction Dependence", name=None,
                         (interact_col vs col). Defaults to False.
             pos_label ({int, str}, optional): initial pos label. 
                         Defaults to explainer.pos_label
-            cats (bool, optional): group categorical features. Defaults to True.
             col (str, optional): Feature to find interactions for. Defaults to None.
             interact_col (str, optional): Feature to interact with. Defaults to None.
             highlight (int, optional): Index row to highlight Defaults to None.
@@ -709,9 +614,9 @@ def __init__(self, explainer, title="Interaction Dependence", name=None,
         super().__init__(explainer, title, name)
 
         if self.col is None:
-            self.col = explainer.columns_ranked_by_shap(cats)[0]
+            self.col = explainer.columns_ranked_by_shap()[0]
         if self.interact_col is None:
-            self.interact_col = explainer.shap_top_interactions(self.col, cats=cats)[1]
+            self.interact_col = explainer.top_shap_interactions(self.col)[1]
         
 
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
@@ -720,7 +625,7 @@ def __init__(self, explainer, title="Interaction Dependence", name=None,
         This allows you to investigate interactions between features in determining
         the prediction of the model.
         """
-        self.register_dependencies("shap_interaction_values", "shap_interaction_values_cats")
+        self.register_dependencies("shap_interaction_values")
 
     def layout(self):
         return dbc.Card([
@@ -739,21 +644,6 @@ def layout(self):
                         ], width=2), hide=self.hide_selector),
                 ]),
                 dbc.Row([
-                    make_hideable(
-                        dbc.Col([
-                            dbc.FormGroup([
-                                dbc.Label("Grouping:", id='interaction-dependence-group-cats-label-'+self.name),
-                                dbc.Tooltip("Group onehot encoded categorical variables together", 
-                                            target='interaction-dependence-group-cats-label-'+self.name),
-                                dbc.Checklist(
-                                    options=[{"label": "Group cats", "value": True}],
-                                    value=[True] if self.cats else [],
-                                    id='interaction-dependence-group-cats-'+self.name,
-                                    inline=True,
-                                    switch=True,
-                                ),
-                            ]),
-                        ], md=2), hide=self.hide_cats),
                     make_hideable(
                         dbc.Col([
                             dbc.Label('Feature:', id='interaction-dependence-col-label-'+self.name),
@@ -761,7 +651,7 @@ def layout(self):
                                             target='interaction-dependence-col-label-'+self.name),
                             dbc.Select(id='interaction-dependence-col-'+self.name,
                                 options=[{'label': col, 'value':col} 
-                                            for col in self.explainer.columns_ranked_by_shap(self.cats)],
+                                            for col in self.explainer.columns_ranked_by_shap()],
                                 value=self.col
                             ),
                         ], md=3), hide=self.hide_col), 
@@ -773,7 +663,7 @@ def layout(self):
                                             target='interaction-dependence-interact-col-label-'+self.name),
                             dbc.Select(id='interaction-dependence-interact-col-'+self.name, 
                                 options=[{'label': col, 'value':col} 
-                                            for col in self.explainer.shap_top_interactions(col=self.col, cats=self.cats)],
+                                            for col in self.explainer.top_shap_interactions(col=self.col)],
                                 value=self.interact_col
                             ),
                         ], md=3), hide=self.hide_interact_col), 
@@ -786,7 +676,7 @@ def layout(self):
                                             target='interaction-dependence-index-label-'+self.name),
                                 dcc.Dropdown(id='interaction-dependence-index-'+self.name, 
                                     options = [{'label': str(idx), 'value':idx} 
-                                                    for idx in self.explainer.idxs],
+                                                    for idx in self.explainer.get_index_list()],
                                     value=self.index)
                             ], md=4), hide=self.hide_index), 
                     ], form=True),
@@ -867,25 +757,16 @@ def layout(self):
         ])
 
     def component_callbacks(self, app):
-        @app.callback(
-            Output('interaction-dependence-col-'+self.name, 'options'), 
-            [Input('interaction-dependence-group-cats-'+self.name, 'value'),
-             Input('pos-label-'+self.name, 'value')])
-        def update_interaction_dependence_interact_col(cats, pos_label):
-            new_cols = self.explainer.columns_ranked_by_shap(bool(cats), pos_label=pos_label)
-            new_col_options = [{'label': col, 'value':col} for col in new_cols]
-            return new_col_options
 
         @app.callback(
             Output('interaction-dependence-interact-col-'+self.name, 'options'),
             [Input('interaction-dependence-col-'+self.name, 'value'),
              Input('pos-label-'+self.name, 'value')],
-            [State('interaction-dependence-group-cats-'+self.name, 'value'),
-             State('interaction-dependence-interact-col-'+self.name, 'value')])
-        def update_interaction_dependence_interact_col(col, pos_label, cats, old_interact_col):
+            [State('interaction-dependence-interact-col-'+self.name, 'value')])
+        def update_interaction_dependence_interact_col(col, pos_label, old_interact_col):
             if col is not None:
-                new_interact_cols = self.explainer.shap_top_interactions(
-                    col, cats=bool(cats), pos_label=pos_label)
+                new_interact_cols = self.explainer.top_shap_interactions(
+                    col, pos_label=pos_label)
                 new_interact_options = [{'label': col, 'value':col} for col in new_interact_cols]
                 return new_interact_options
             raise PreventUpdate
@@ -931,7 +812,6 @@ class InteractionSummaryDependenceConnector(ExplainerComponent):
     def __init__(self, interaction_summary_component, interaction_dependence_component):
         """Connects a InteractionSummaryComponent with an InteractionDependenceComponent:
 
-        - When group cats in Summary, then group cats in Dependence
         - When select feature in summary, then select col in Dependence
         - When clicking on interaction feature in Summary, then select that interaction 
             feature in Dependence.
@@ -944,12 +824,6 @@ def __init__(self, interaction_summary_component, interaction_dependence_compone
         self.dep_name = interaction_dependence_component.name
 
     def component_callbacks(self, app):
-        @app.callback(
-            Output('interaction-dependence-group-cats-'+self.dep_name, 'value'),
-            [Input('interaction-summary-group-cats-'+self.sum_name, 'value')])
-        def update_dependence_shap_scatter_graph(cats):
-            return cats
-
         @app.callback(
             [Output('interaction-dependence-col-'+self.dep_name, 'value'),
              Output('interaction-dependence-index-'+self.dep_name, 'value'),
@@ -975,10 +849,10 @@ class ShapContributionsGraphComponent(ExplainerComponent):
     def __init__(self, explainer, title="Contributions Plot", name=None,
                     subtitle="How has each feature contributed to the prediction?",
                     hide_title=False, hide_subtitle=False, hide_index=False, hide_depth=False, 
-                    hide_sort=False, hide_orientation=True, hide_cats=False, 
+                    hide_sort=False, hide_orientation=True, 
                     hide_selector=False, feature_input_component=None,
                     pos_label=None, index=None, depth=None, sort='high-to-low', 
-                    orientation='vertical', cats=True, higher_is_better=True,
+                    orientation='vertical', higher_is_better=True,
                     description=None, **kwargs):
         """Display Shap contributions to prediction graph component
 
@@ -998,7 +872,6 @@ def __init__(self, explainer, title="Contributions Plot", name=None,
             hide_sort (bool, optional): Hide the sorting dropdown. Defaults to False.
             hide_orientation (bool, optional): Hide the orientation dropdown. 
                     Defaults to True.
-            hide_cats (bool, optional): Hide group cats toggle. Defaults to False.
             hide_selector (bool, optional): hide pos label selector. Defaults to False.
             feature_input_component (FeatureInputComponent): A FeatureInputComponent
                 that will give the input to the graph instead of the index selector.
@@ -1011,7 +884,6 @@ def __init__(self, explainer, title="Contributions Plot", name=None,
                         Defaults to 'high-to-low'.
             orientation ({'vertical', 'horizontal'}, optional): orientation of bar chart.
                         Defaults to 'vertical'.
-            cats (bool, optional): Group cats. Defaults to True.
             higher_is_better (bool, optional): Color positive shap values green and
                 negative shap values red, or the reverse. 
             description (str, optional): Tooltip to display when hover over
@@ -1022,10 +894,7 @@ def __init__(self, explainer, title="Contributions Plot", name=None,
         self.index_name = 'contributions-graph-index-'+self.name
 
         if self.depth is not None:
-            self.depth = min(self.depth, self.explainer.n_features(self.cats))
-
-        if not self.explainer.onehot_cols:
-            self.hide_cats = True
+            self.depth = min(self.depth, self.explainer.n_features())
         
         if self.feature_input_component is not None:
             self.exclude_callbacks(self.feature_input_component)
@@ -1040,7 +909,7 @@ def __init__(self, explainer, title="Contributions Plot", name=None,
         """
 
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
-        self.register_dependencies('shap_values', 'shap_values_cats')
+        self.register_dependencies('shap_values_df')
 
     def layout(self):
         return dbc.Card([
@@ -1066,7 +935,7 @@ def layout(self):
                                         target='contributions-graph-index-label-'+self.name),
                             dcc.Dropdown(id='contributions-graph-index-'+self.name, 
                                 options = [{'label': str(idx), 'value':idx} 
-                                                for idx in self.explainer.idxs],
+                                                for idx in self.explainer.get_index_list()],
                                 value=self.index)
                         ], md=4), hide=self.hide_index), 
                     make_hideable(
@@ -1076,7 +945,7 @@ def layout(self):
                                     target='contributions-graph-depth-label-'+self.name),
                             dbc.Select(id='contributions-graph-depth-'+self.name, 
                                 options = [{'label': str(i+1), 'value':i+1} 
-                                                for i in range(self.explainer.n_features(self.cats))],
+                                                for i in range(self.explainer.n_features())],
                                 value=None if self.depth is None else str(self.depth))
                         ], md=2), hide=self.hide_depth),
                     make_hideable(
@@ -1104,23 +973,7 @@ def layout(self):
                                             {'label': 'Horizontal', 'value': 'horizontal'}],
                                 value=self.orientation)
                         ], md=2), hide=self.hide_orientation),
-                    make_hideable(
-                        dbc.Col([
-                            dbc.FormGroup([
-                                dbc.Label("Grouping:", id='contributions-graph-group-cats-label-'+self.name),
-                                dbc.Tooltip("Group onehot encoded categorical variables together", 
-                                            target='contributions-graph-group-cats-label-'+self.name),
-                                dbc.Checklist(
-                                    options=[{"label": "Group cats", "value": True}],
-                                    value=[True] if self.cats else [],
-                                    id='contributions-graph-group-cats-'+self.name,
-                                    inline=True,
-                                    switch=True,
-                                ),
-                            ]),
-                        ], md=2), hide=self.hide_cats),
                     ], form=True),
-                    
                 dbc.Row([
                     dbc.Col([
                         dcc.Loading(id='loading-contributions-graph-'+self.name, 
@@ -1135,64 +988,44 @@ def component_callbacks(self, app):
         
         if self.feature_input_component is None:
             @app.callback(
-                [Output('contributions-graph-'+self.name, 'figure'),
-                 Output('contributions-graph-depth-'+self.name, 'options')],
+                Output('contributions-graph-'+self.name, 'figure'),
                 [Input('contributions-graph-index-'+self.name, 'value'),
                  Input('contributions-graph-depth-'+self.name, 'value'),
                  Input('contributions-graph-sorting-'+self.name, 'value'),
                  Input('contributions-graph-orientation-'+self.name, 'value'),
-                 Input('contributions-graph-group-cats-'+self.name, 'value'),
                  Input('pos-label-'+self.name, 'value')])
-            def update_output_div(index, depth, sort, orientation, cats, pos_label):
+            def update_output_div(index, depth, sort, orientation, pos_label):
                 if index is None:
                     raise PreventUpdate
                 depth = None if depth is None else int(depth)
                 plot = self.explainer.plot_shap_contributions(index, topx=depth, 
-                            cats=bool(cats), sort=sort, orientation=orientation, 
+                            sort=sort, orientation=orientation, 
                             pos_label=pos_label, higher_is_better=self.higher_is_better)
-
-                ctx = dash.callback_context
-                trigger = ctx.triggered[0]['prop_id'].split('.')[0]
-                if trigger == 'contributions-graph-group-cats-'+self.name:
-                    depth_options = [{'label': str(i+1), 'value': i+1} 
-                                            for i in range(self.explainer.n_features(bool(cats)))]
-                    return (plot, depth_options)
-                else:
-                    return (plot, dash.no_update)
+                return plot
         else:
             @app.callback(
-                [Output('contributions-graph-'+self.name, 'figure'),
-                 Output('contributions-graph-depth-'+self.name, 'options')],
+                Output('contributions-graph-'+self.name, 'figure'),
                 [Input('contributions-graph-depth-'+self.name, 'value'),
                  Input('contributions-graph-sorting-'+self.name, 'value'),
                  Input('contributions-graph-orientation-'+self.name, 'value'),
-                 Input('contributions-graph-group-cats-'+self.name, 'value'),
                  Input('pos-label-'+self.name, 'value'),
                  *self.feature_input_component._feature_callback_inputs])
-            def update_output_div(depth, sort, orientation, cats, pos_label, *inputs):
+            def update_output_div(depth, sort, orientation, pos_label, *inputs):
                 depth = None if depth is None else int(depth)
                 X_row = self.explainer.get_row_from_input(inputs, ranked_by_shap=True)
                 plot = self.explainer.plot_shap_contributions(X_row=X_row, 
-                            topx=depth, cats=bool(cats), sort=sort, orientation=orientation, 
+                            topx=depth, sort=sort, orientation=orientation, 
                             pos_label=pos_label, higher_is_better=self.higher_is_better)
-
-                ctx = dash.callback_context
-                trigger = ctx.triggered[0]['prop_id'].split('.')[0]
-                if trigger == 'contributions-graph-group-cats-'+self.name:
-                    depth_options = [{'label': str(i+1), 'value': i+1} 
-                                            for i in range(self.explainer.n_features(bool(cats)))]
-                    return (plot, depth_options)
-                else:
-                    return (plot, dash.no_update)
+                return plot
 
 
 class ShapContributionsTableComponent(ExplainerComponent):
     def __init__(self, explainer, title="Contributions Table", name=None,
                     subtitle="How has each feature contributed to the prediction?",
                     hide_title=False, hide_subtitle=False, hide_index=False, 
-                    hide_depth=False, hide_sort=False, hide_cats=False, 
+                    hide_depth=False, hide_sort=False,
                     hide_selector=False, feature_input_component=None,
-                    pos_label=None, index=None, depth=None, sort='abs', cats=True, 
+                    pos_label=None, index=None, depth=None, sort='abs', 
                     description=None, **kwargs):
         """Show SHAP values contributions to prediction in a table component
 
@@ -1210,7 +1043,6 @@ def __init__(self, explainer, title="Contributions Table", name=None,
             hide_index (bool, optional): Hide index selector. Defaults to False.
             hide_depth (bool, optional): Hide depth selector. Defaults to False.
             hide_sort (bool, optional): Hide sorting dropdown. Default to False.
-            hide_cats (bool, optional): Hide group cats toggle. Defaults to False.
             hide_selector (bool, optional): hide pos label selector. Defaults to False.
             feature_input_component (FeatureInputComponent): A FeatureInputComponent
                 that will give the input to the graph instead of the index selector.
@@ -1221,7 +1053,6 @@ def __init__(self, explainer, title="Contributions Table", name=None,
             depth ([type], optional): Initial number of features to display. Defaults to None.
             sort ({'abs', 'high-to-low', 'low-to-high', 'importance'}, optional): sorting of shap values. 
                         Defaults to 'high-to-low'.
-            cats (bool, optional): Group categoricals. Defaults to True.
             description (str, optional): Tooltip to display when hover over
                 component title. When None default text is shown. 
         """
@@ -1230,10 +1061,7 @@ def __init__(self, explainer, title="Contributions Table", name=None,
         self.index_name = 'contributions-table-index-'+self.name
 
         if self.depth is not None:
-            self.depth = min(self.depth, self.explainer.n_features(self.cats))
-        
-        if not self.explainer.onehot_cols:
-            self.hide_cats = True
+            self.depth = min(self.depth, self.explainer.n_features())
 
         if self.feature_input_component is not None:
             self.exclude_callbacks(self.feature_input_component)
@@ -1247,7 +1075,7 @@ def __init__(self, explainer, title="Contributions Table", name=None,
         from all the individual ingredients in the model.
         """
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
-        self.register_dependencies('shap_values', 'shap_values_cats')
+        self.register_dependencies('shap_values_df')
 
     def layout(self):
         return dbc.Card([
@@ -1268,7 +1096,7 @@ def layout(self):
                                         target='contributions-table-index-label-'+self.name),
                             dcc.Dropdown(id='contributions-table-index-'+self.name, 
                                 options = [{'label': str(idx), 'value':idx} 
-                                                for idx in self.explainer.idxs],
+                                                for idx in self.explainer.get_index_list()],
                                 value=self.index)
                         ], md=4), hide=self.hide_index), 
                     make_hideable(
@@ -1278,7 +1106,7 @@ def layout(self):
                                     target='contributions-table-depth-label-'+self.name),
                             dbc.Select(id='contributions-table-depth-'+self.name, 
                                 options = [{'label': str(i+1), 'value':i+1} 
-                                                for i in range(self.explainer.n_features(self.cats))],
+                                                for i in range(self.explainer.n_features())],
                                 value=self.depth)
                         ], md=2), hide=self.hide_depth),
                     make_hideable(
@@ -1299,21 +1127,6 @@ def layout(self):
                     make_hideable(
                             dbc.Col([self.selector.layout()
                         ], width=2), hide=self.hide_selector),
-                    make_hideable(
-                        dbc.Col([
-                            dbc.FormGroup([
-                                dbc.Label("Grouping:", id='contributions-table-group-cats-label-'+self.name),
-                                dbc.Tooltip("Group onehot encoded categorical variables together", 
-                                            target='contributions-table-group-cats-label-'+self.name),
-                                dbc.Checklist(
-                                    options=[{"label": "Group cats", "value": True}],
-                                    value=[True] if self.cats else [],
-                                    id='contributions-table-group-cats-'+self.name,
-                                    inline=True,
-                                    switch=True,
-                                ),
-                            ]),
-                        ], md=3), hide=self.hide_cats),
                 ], form=True),
                 dbc.Row([
                     dbc.Col([
@@ -1326,19 +1139,17 @@ def layout(self):
     def component_callbacks(self, app):
         if self.feature_input_component is None:
             @app.callback(
-                [Output('contributions-table-'+self.name, 'children'),
-                Output('contributions-table-depth-'+self.name, 'options')],
+                Output('contributions-table-'+self.name, 'children'),
                 [Input('contributions-table-index-'+self.name, 'value'),
                 Input('contributions-table-depth-'+self.name, 'value'),
                 Input('contributions-table-sorting-'+self.name, 'value'),
-                Input('contributions-table-group-cats-'+self.name, 'value'),
                 Input('pos-label-'+self.name, 'value')])
-            def update_output_div(index, depth, sort, cats, pos_label):
+            def update_output_div(index, depth, sort, pos_label):
                 if index is None:
                     raise PreventUpdate
                 depth = None if depth is None else int(depth)
                 contributions_table = dbc.Table.from_dataframe(
-                    self.explainer.contrib_summary_df(index, cats=bool(cats), topx=depth, 
+                    self.explainer.contrib_summary_df(index, topx=depth, 
                                     sort=sort, pos_label=pos_label))
 
                 tooltip_cols = {}
@@ -1355,29 +1166,20 @@ def update_output_div(index, depth, sort, cats, pos_label):
                             placement="top") for col, desc in tooltip_cols.items()]
 
                 output_div = html.Div([contributions_table, *tooltips])
+                return output_div
 
-                ctx = dash.callback_context
-                trigger = ctx.triggered[0]['prop_id'].split('.')[0]
-                if trigger == 'contributions-table-group-cats-'+self.name:
-                    depth_options = [{'label': str(i+1), 'value': i+1} 
-                                            for i in range(self.explainer.n_features(bool(cats)))]
-                    return (output_div, depth_options)
-                else:
-                    return (output_div, dash.no_update) 
         else:
             @app.callback(
-                [Output('contributions-table-'+self.name, 'children'),
-                 Output('contributions-table-depth-'+self.name, 'options')],
+                Output('contributions-table-'+self.name, 'children'),
                 [Input('contributions-table-depth-'+self.name, 'value'),
                  Input('contributions-table-sorting-'+self.name, 'value'),
-                 Input('contributions-table-group-cats-'+self.name, 'value'),
                  Input('pos-label-'+self.name, 'value'),
                  *self.feature_input_component._feature_callback_inputs])
-            def update_output_div(depth, sort, cats, pos_label, *inputs):
+            def update_output_div(depth, sort, pos_label, *inputs):
                 X_row = self.explainer.get_row_from_input(inputs, ranked_by_shap=True)
                 depth = None if depth is None else int(depth)
                 contributions_table = dbc.Table.from_dataframe(
-                    self.explainer.contrib_summary_df(X_row=X_row, cats=bool(cats), topx=depth, 
+                    self.explainer.contrib_summary_df(X_row=X_row, topx=depth, 
                                     sort=sort, pos_label=pos_label))
 
                 tooltip_cols = {}
@@ -1394,14 +1196,7 @@ def update_output_div(depth, sort, cats, pos_label, *inputs):
                             placement="top") for col, desc in tooltip_cols.items()]
 
                 output_div = html.Div([contributions_table, *tooltips])
+                return output_div
 
-                ctx = dash.callback_context
-                trigger = ctx.triggered[0]['prop_id'].split('.')[0]
-                if trigger == 'contributions-table-group-cats-'+self.name:
-                    depth_options = [{'label': str(i+1), 'value': i+1} 
-                                            for i in range(self.explainer.n_features(bool(cats)))]
-                    return (output_div, depth_options)
-                else:
-                    return (output_div, dash.no_update) 
 
 
diff --git a/explainerdashboard/explainer_methods.py b/explainerdashboard/explainer_methods.py
index d219b50..82bea83 100644
--- a/explainerdashboard/explainer_methods.py
+++ b/explainerdashboard/explainer_methods.py
@@ -221,7 +221,7 @@ def retrieve_onehot_value(X, encoded_col, onehot_cols, sep="_"):
     return pd.Series(feature_value).map(mapping)
 
 
-def merge_categorical_columns(X, onehot_dict=None, sep="_", drop_regular=True):
+def merge_categorical_columns(X, onehot_dict=None, cols=None, sep="_", drop_regular=False):
     """
     Returns a new feature Dataframe X_cats where the onehotencoded
     categorical features have been merged back with the old value retrieved
@@ -232,6 +232,7 @@ def merge_categorical_columns(X, onehot_dict=None, sep="_", drop_regular=True):
             columns=['Age', 'Sex_Male', 'Sex_Female"].
         onehot_dict (dict): dict of features with lists for onehot-encoded variables,
              e.g. {'Fare': ['Fare'], 'Sex' : ['Sex_male', 'Sex_Female']}
+        cols (list[str]): list of columns to return
         sep (str): separator used in the encoding, e.g. "_" for Sex_Male. 
             Defaults to "_".
     
@@ -245,8 +246,22 @@ def merge_categorical_columns(X, onehot_dict=None, sep="_", drop_regular=True):
         else:
             if not drop_regular:
                 X_cats.loc[:, col_name] = X[col_name].values
-    return X_cats
-
+    if cols:
+        return X_cats[cols]
+    else:
+        return X_cats
+
+def matching_cols(cols1, cols2):
+    """returns True if cols1 and cols2 match."""
+    if isinstance(cols1, pd.DataFrame):
+        cols1 = cols1.columns
+    if isinstance(cols2, pd.DataFrame):
+        cols2 = cols2.columns
+    if len(cols1) != len(cols2):
+        return False
+    if (pd.Index(cols1) == pd.Index(cols2)).all():
+        return True
+    return False
 
 def remove_cat_names(X_cats, onehot_dict):
     """removes the leading category names in the onehotencoded columns. 
@@ -282,30 +297,26 @@ def X_cats_to_X(X_cats, onehot_dict, X_columns, sep="_"):
     return X_new[X_columns]
 
 
-def merge_categorical_shap_values(X, shap_values, onehot_dict=None, output_cols=None):
+def merge_categorical_shap_values(shap_df, onehot_dict=None, output_cols=None):
     """
     Returns a new feature new shap values np.array
     where the shap values of onehotencoded categorical features have been
     added up.
 
     Args:
-        X (pd.DataFrame): dataframe whose columns correspond to the columns
-            in the shap_values np.ndarray.
-        shap_values (np.ndarray): numpy array of shap values, output of
-            e.g. shap.TreeExplainer(X).shap_values()
+        shap_df(pd.DataFrame): dataframe of shap values with appropriate column names
         onehot_dict (dict): dict of features with lists for onehot-encoded variables,
              e.g. {'Fare': ['Fare'], 'Sex' : ['Sex_male', 'Sex_Female']}
             
     Returns:
         pd.DataFrame
     """
-    shap_df = pd.DataFrame(shap_values, columns=X.columns)
     onehot_cols = []
     for col_name, col_list in onehot_dict.items():
         if len(col_list) > 1:
             shap_df[col_name] = shap_df[col_list].sum(axis=1)
             onehot_cols.append(col_name)
-    if output_cols:
+    if output_cols is not None:
         return shap_df[output_cols]
     return shap_df[onehot_cols]
 
@@ -337,23 +348,24 @@ def merge_categorical_shap_interaction_values(shap_interaction_values,
     """
 
     if isinstance(old_columns, pd.DataFrame):
-        old_columns = old_columns.columns.tolist()
+        old_columns = old_columns.columns
     if isinstance(new_columns, pd.DataFrame):
-        new_columns = new_columns.columns.tolist()
+        new_columns = new_columns.columns
+    old_columns = pd.Index(old_columns)
+    new_columns = pd.Index(new_columns)
     
-
     siv = np.zeros((shap_interaction_values.shape[0], 
                         len(new_columns), len(new_columns)))
 
     # note: given the for loops here, this code could probably be optimized.
-    # but only run once anyway
+    #       But only runs once anyway...
     for new_col1 in new_columns:
         for new_col2 in new_columns:
-            newcol_idx1 = new_columns.index(new_col1)
-            newcol_idx2 = new_columns.index(new_col2)
-            oldcol_idxs1 = [old_columns.index(col)
+            newcol_idx1 = new_columns.get_loc(new_col1)
+            newcol_idx2 = new_columns.get_loc(new_col2)
+            oldcol_idxs1 = [old_columns.get_loc(col)
                                 for col in onehot_dict[new_col1]]
-            oldcol_idxs2 = [old_columns.index(col)
+            oldcol_idxs2 = [old_columns.get_loc(col)
                                 for col in onehot_dict[new_col2]]
             siv[:, newcol_idx1, newcol_idx2] = \
                 shap_interaction_values[:, oldcol_idxs1, :][:, :, oldcol_idxs2]\
@@ -526,10 +538,11 @@ def get_mean_absolute_shap_df(columns, shap_values, onehot_dict=None):
     """
     if onehot_dict is None:
         onehot_dict = {col:[col] for col in columns}
+    columns = pd.Index(columns)
     shap_abs_mean_dict = {}
     for col_name, col_list in onehot_dict.items():
         shap_abs_mean_dict[col_name] = np.absolute(
-            shap_values[:, [columns.index(col) for col in col_list]].sum(axis=1)
+            shap_values[:, [columns.get_loc(col) for col in col_list]].sum(axis=1)
         ).mean()
 
     shap_df = pd.DataFrame(
diff --git a/explainerdashboard/explainer_plots.py b/explainerdashboard/explainer_plots.py
index e4d4a1c..aeefc55 100644
--- a/explainerdashboard/explainer_plots.py
+++ b/explainerdashboard/explainer_plots.py
@@ -33,6 +33,8 @@
                              precision_recall_curve, roc_curve, 
                              roc_auc_score, average_precision_score)
 
+from .explainer_methods import matching_cols
+
 
 def plotly_prediction_piechart(predictions_df, showlegend=True, size=250):
     """Return piechart with predict_proba distributions for ClassifierExplainer
@@ -655,44 +657,38 @@ def plotly_cumulative_precision_plot(lift_curve_df, labels=None, percentile=None
     return fig
 
 
-def plotly_dependence_plot(X, shap_values, col_name, interact_col_name=None, 
+def plotly_dependence_plot(X_col, shap_values, interact_col=None, 
                             interaction=False, na_fill=-999, round=2, units="", 
-                            highlight_index=None, idxs=None, index_name="index"):
+                            highlight_index=None, idxs=None):
     """Returns a dependence plot showing the relationship between feature col_name
     and shap values for col_name. Do higher values of col_name increase prediction
     or decrease them? Or some kind of U-shape or other?
 
     Args:
-        X (pd.DataFrame): dataframe with rows of input data
-        shap_values (np.ndarray): shap values generated for X
-        col_name (str): column name for which to generate plot
-        interact_col_name (str, optional): Column name by which to color the 
-        markers. Defaults to None.
+        X_col (pd.Series): pd.Series with column values.
+        shap_values (np.ndarray): shap values generated for X_col
+        interact_col (pd.Series): pd.Series with column marker values. Defaults to None.
         interaction (bool, optional): Is this a plot of shap interaction values? 
             Defaults to False.
         na_fill (int, optional): value used for filling missing values. 
             Defaults to -999.
         round (int, optional): Rounding to apply to floats. Defaults to 2.
         units (str, optional): Units of the target variable. Defaults to "".
-        highlight_index (str, int, optional): index row of X to highlight in t
-        he plot. Defaults to None.
-        idxs (list, optional): list of descriptors of the index, e.g. 
+        highlight_index (str, int, optional): index row of X to highlight in 
+            the plot. Defaults to None.
+        idxs (pd.Index, optional): list of descriptors of the index, e.g. 
             names or other identifiers. Defaults to None.
-        index_name (str): identifier for idxs. Defaults to "index".
-
-
+            
     Returns:
         Plotly fig
     """
-    assert col_name in X.columns.tolist(), f'{col_name} not in X.columns'
-    assert (interact_col_name is None and not interaction) or interact_col_name in X.columns.tolist(),\
-            f'{interact_col_name} not in X.columns'
-
+    assert len(X_col) == len(shap_values), \
+        f"Column(len={len(X_col)}) and Shap values(len={len(shap_values)}) and should have the same length!"
     if idxs is not None:
-        assert len(idxs)==X.shape[0]
-        idxs = [str(idx) for idx in idxs]
+        assert len(idxs)==X_col.shape[0]
+        idxs = pd.Index(idxs).astype(str)
     else:
-        idxs = [str(i) for i in range(X.shape[0])]
+        idxs = X_col.index.astype(str)
 
     if highlight_index is not None:
         if isinstance(highlight_index, int):
@@ -700,91 +696,107 @@ def plotly_dependence_plot(X, shap_values, col_name, interact_col_name=None,
             highlight_name = idxs[highlight_idx]
         elif isinstance(highlight_index, str):
             assert highlight_index in idxs, f'highlight_index should be int or in idxs, {highlight_index} is neither!'
-            highlight_idx = np.where(idxs==highlight_index)[0].item()
+            highlight_idx = idxs.get_loc(highlight_index)
             highlight_name = highlight_index
     
-    x = X[col_name].replace({-999:np.nan})
-    if len(shap_values.shape)==2:
-        y = shap_values[:, X.columns.get_loc(col_name)]
-    elif len(shap_values.shape)==3 and interact_col_name is not None:
-        y = shap_values[:, X.columns.get_loc(col_name), X.columns.get_loc(interact_col_name)]
-    else:
-        raise Exception('Either provide shap_values or shap_interaction_values with an interact_col_name')
+    col_name = X_col.name
+ 
+#     if len(shap_values.shape)==2:
+#         y = shap_values[:, X.columns.get_loc(col_name)]
+#     elif len(shap_values.shape)==3 and interact_col_name is not None:
+#         y = shap_values[:, X.columns.get_loc(col_name), X.columns.get_loc(interact_col_name)]
+#     else:
+#         raise Exception('Either provide shap_values or shap_interaction_values with an interact_col_name')
+    
     
-    if interact_col_name is not None:
-        text = np.array([f'{index_name}={index}<br>{col_name}={col_val}<br>{interact_col_name}={col_col_val}<br>SHAP={shap_val}' 
-                    for index, col_val, col_col_val, shap_val in zip(idxs, x, X[interact_col_name], np.round(y, round))])
+    if interact_col is not None:
+        text = np.array([f'{idxs.name}={index}<br>{X_col.name}={col_val}<br>{interact_col.name}={col_col_val}<br>SHAP={shap_val}' 
+                    for index, col_val, col_col_val, shap_val in zip(idxs, X_col, interact_col, np.round(shap_values, round))])
     else:
-        text = np.array([f'{index_name}={index}<br>{col_name}={col_val}<br>SHAP={shap_val}' 
-                    for index, col_val, shap_val in zip(idxs, x, np.round(y, round))])  
+        text = np.array([f'{idxs.name}={index}<br>{X_col.name}={col_val}<br>SHAP={shap_val}' 
+                    for index, col_val, shap_val in zip(idxs, X_col, np.round(shap_values, round))])  
         
     data = []
     
-    if interact_col_name is not None and is_string_dtype(X[interact_col_name]):
-        for onehot_col in X[interact_col_name].unique().tolist():
-                data.append(
-                    go.Scattergl(
-                        x=X[X[interact_col_name]==onehot_col][col_name].replace({-999:np.nan}),
-                        y=shap_values[X[interact_col_name]==onehot_col, X.columns.get_loc(col_name)],
-                        mode='markers',
-                        marker=dict(
-                                size=7,
-                                showscale=False,
-                                opacity=0.6,
-                            ),
-                        
-                        showlegend=True,
-                        opacity=0.8,
-                        hoverinfo="text",
-                        name=onehot_col,
-                        text=[f'{index_name}={index}<br>{col_name}={col_val}<br>{interact_col_name}={col_col_val}<br>SHAP={shap_val}' 
-                                for index, col_val, col_col_val, shap_val in zip(idxs,
-                                    X[X[interact_col_name]==onehot_col][col_name], 
-                                    X[X[interact_col_name]==onehot_col][interact_col_name], 
-                                    np.round(shap_values[X[interact_col_name]==onehot_col, X.columns.get_loc(col_name)], round))],
-                        )
+    X_col = X_col.copy().replace({na_fill:np.nan})
+    y = shap_values
+    if interact_col is not None and not is_numeric_dtype(interact_col):
+        for onehot_col in interact_col.unique().tolist():
+            data.append(
+                go.Scattergl(
+                    x=X_col[interact_col==onehot_col].replace({na_fill:np.nan}),
+                    y=shap_values[interact_col==onehot_col],
+                    mode='markers',
+                    marker=dict(
+                            size=7,
+                            showscale=False,
+                            opacity=0.6,
+                        ),
+                    showlegend=True,
+                    opacity=0.8,
+                    hoverinfo="text",
+                    name=onehot_col,
+                    text=[f'{idxs.name}={index}<br>{X_col.name}={col_val}<br>{interact_col.name}={interact_val}<br>SHAP={shap_val}' 
+                            for index, col_val, interact_val, shap_val in zip(idxs,
+                                X_col[interact_col==onehot_col], 
+                                interact_col[interact_col==onehot_col], 
+                                np.round(shap_values[interact_col==onehot_col], round))],
                     )
-                
-    elif interact_col_name is not None and is_numeric_dtype(X[interact_col_name]):
-        data.append(go.Scattergl(
-                        x=x[X[interact_col_name]!=na_fill],
-                        y=y[X[interact_col_name]!=na_fill], 
-                        mode='markers',
-                        text=text[X[interact_col_name]!=na_fill],
-                        hoverinfo="text",
-                        marker=dict(size=7, 
-                                    opacity=0.6,
-                                    color=X[interact_col_name][X[interact_col_name]!=na_fill],
-                                    colorscale='Bluered',
-                                    colorbar=dict(
-                                        title=interact_col_name
-                                        ),
-                                    showscale=True),    
-                ))
-        data.append(go.Scattergl(
-                        x=x[X[interact_col_name]==na_fill],
-                        y=y[X[interact_col_name]==na_fill], 
+                )         
+    elif interact_col is not None and is_numeric_dtype(interact_col):
+        if na_fill in interact_col:
+            data.append(go.Scattergl(
+                    x=X_col[interact_col != na_fill],
+                    y=shap_values[interact_col != na_fill], 
+                    mode='markers',
+                    text=text[interact_col != na_fill],
+                    hoverinfo="text",
+                    marker=dict(size=7, 
+                                opacity=0.6,
+                                color=interact_col[interact_col != na_fill],
+                                colorscale='Bluered',
+                                colorbar=dict(title=interact_col.name),
+                                showscale=True),    
+            ))
+            data.append(go.Scattergl(
+                        x=X_col[interact_col == na_fill],
+                        y=shap_values[interact_col == na_fill], 
                         mode='markers',
                         text=text[X[interact_col_name]==na_fill],
                         hoverinfo="text",
                         marker=dict(size=7, 
                                     opacity=0.35,
                                     color='grey'),
-                ))
+            ))
+        else:
+            data.append(go.Scattergl(
+                    x=X_col,
+                    y=shap_values, 
+                    mode='markers',
+                    text=text,
+                    hoverinfo="text",
+                    marker=dict(size=7, 
+                                opacity=0.6,
+                                color=interact_col,
+                                colorscale='Bluered',
+                                colorbar=dict(title=interact_col.name),
+                                showscale=True),    
+            ))
+            
     else:
         data.append(go.Scattergl(
-                        x=x, 
-                        y=y, 
+                        x=X_col, 
+                        y=shap_values, 
                         mode='markers',
                         text=text,
                         hoverinfo="text",
-                        marker=dict(size=7, 
-                                    opacity=0.6)  ,                    
+                        marker=dict(size=7, opacity=0.6),                    
                 ))
+        
     if interaction:
-        title = f'Interaction plot for {col_name} and {interact_col_name}'
+        title = f'Interaction plot for {X_col.name} and {interact_col.name}'
     else:
-        title = f'Dependence plot for {col_name}'
+        title = f'Dependence plot for {X_col.name}'
 
     layout = go.Layout(
             title=title,
@@ -798,14 +810,14 @@ def plotly_dependence_plot(X, shap_values, col_name, interact_col_name=None,
         
     fig = go.Figure(data, layout)
     
-    if interact_col_name is not None and is_string_dtype(X[interact_col_name]):
+    if interact_col is not None and not is_numeric_dtype(interact_col):
         fig.update_layout(showlegend=True)
                                                       
     if highlight_index is not None:
         fig.add_trace(
             go.Scattergl(
-                x=[x[highlight_idx]], 
-                y=[y[highlight_idx]], 
+                x=[X_col[highlight_idx]], 
+                y=[shap_values[highlight_idx]], 
                 mode='markers',
                 marker=dict(
                     color='LightSkyBlue',
@@ -816,8 +828,8 @@ def plotly_dependence_plot(X, shap_values, col_name, interact_col_name=None,
                         width=4
                     )
                 ),
-                name=f"{index_name} {highlight_name}",
-                text=f"{index_name} {highlight_name}",
+                name=f"{idxs.name} {highlight_name}",
+                text=f"{idxs.name} {highlight_name}",
                 hoverinfo="text",
                 showlegend=False,
             ),
@@ -827,7 +839,7 @@ def plotly_dependence_plot(X, shap_values, col_name, interact_col_name=None,
 
 
 def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False, 
-        interaction=False, units="", highlight_index=None, idxs=None, index_name="index",
+        interaction=False, units="", highlight_index=None, idxs=None,
         cats_order=None):
     """Generates a violin plot for displaying shap value distributions for
     categorical features.
@@ -862,9 +874,9 @@ def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False,
     
     if idxs is not None:
         assert len(idxs)==X_col.shape[0]==len(shap_values)
-        idxs = np.array([str(idx) for idx in idxs])
+        idxs = pd.Index(idxs).astype(str)
     else:
-        idxs = np.array([str(i) for i in range(X_col.shape[0])])
+        idxs = X_col.index.astype(str)
 
     if highlight_index is not None:
         if isinstance(highlight_index, int):
@@ -872,7 +884,7 @@ def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False,
             highlight_name = idxs[highlight_idx]
         elif isinstance(highlight_index, str):
             assert highlight_index in idxs, f'highlight_index should be int or in idxs, {highlight_index} is neither!'
-            highlight_idx = np.where(idxs==highlight_index)[0].item()
+            highlight_idx = idxs.get_loc(highlight_index)
             highlight_name = highlight_index
 
     if points or X_color_col is not None:
@@ -883,6 +895,15 @@ def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False,
 
     shap_range = shap_values.max() - shap_values.min()
     fig.update_yaxes(range=[shap_values.min()-0.1*shap_range, shap_values.max()+0.1*shap_range])  
+    
+    if X_color_col is not None:
+        color_cats = X_color_col.unique()
+        n_color_cats = len(color_cats)
+        colors = ['#636EFA', '#EF553B', '#00CC96', '#AB63FA', '#FFA15A', 
+                    '#19D3F3', '#FF6692', '#B6E880', '#FF97FF', '#FECB52']
+        colors = colors * (1+int(n_color_cats / len(colors)))
+        colors = colors[:n_color_cats]
+        show_legend = set(color_cats)
 
     for i, cat in enumerate(cats_order):
         col = 1+i*2 if points or X_color_col is not None else 1+i
@@ -904,7 +925,7 @@ def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False,
                                 mode='markers',
                                 showlegend=False,
                                 hoverinfo="text",
-                                text = [f"{index_name}: {index}<br>shap: {shap}<br>{color_col}: {col}" 
+                                text = [f"{idxs.name}: {index}<br>shap: {shap}<br>{X_color_col.name}: {col}" 
                                             for index, shap, col in zip(idxs[X_col==cat], 
                                                                         shap_values[X_col == cat], 
                                                                         X_color_col[X_col==cat])],
@@ -912,27 +933,22 @@ def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False,
                                         opacity=0.6,
                                         cmin=X_color_col.min(),
                                         cmax=X_color_col.max(),
-                                        color=X_color_col[x==cat],
+                                        color=X_color_col[X_col==cat],
                                         colorscale='Bluered',
                                         showscale=showscale,
                                         colorbar=dict(title=X_color_col.name)),              
                                 ),
                          row=1, col=col+1)
             else:
-                n_color_cats = X_color_col.nunique()
-                colors = ['#636EFA', '#EF553B', '#00CC96', '#AB63FA', '#FFA15A', 
-                          '#19D3F3', '#FF6692', '#B6E880', '#FF97FF', '#FECB52']
-                colors = colors * (1+int(n_color_cats / len(colors)))
-                colors = colors[:n_color_cats]
-                for color_cat, color in zip(X_color_col.unique(), colors):
+                for color_cat, color in zip(color_cats, colors):
                     fig.add_trace(go.Scattergl(
                                     x=np.random.randn(((X_col == cat) & (X_color_col == color_cat)).sum()),
                                     y=shap_values[(X_col == cat) & (X_color_col == color_cat)],
                                     name=color_cat,
                                     mode='markers',
-                                    showlegend=showscale,
+                                    showlegend=color_cat in show_legend,
                                     hoverinfo="text",
-                                    text = [f"{index_name}: {index}<br>shap: {shap}<br>{X_color_col.name}: {col}" 
+                                    text = [f"{idxs.name}: {index}<br>shap: {shap}<br>{X_color_col.name}: {col}" 
                                                 for index, shap, col in zip(
                                                                 idxs[(X_col == cat) & (X_color_col == color_cat)], 
                                                                 shap_values[(X_col == cat) & (X_color_col == color_cat)], 
@@ -942,7 +958,9 @@ def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False,
                                                 color=color)           
                                     ),
                              row=1, col=col+1)
-                
+                    if color_cat in X_color_col[X_col==cat].unique():
+                        show_legend = show_legend - {color_cat}
+                    
             showscale = False
         elif points:
             fig.add_trace(go.Scattergl(
@@ -951,7 +969,7 @@ def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False,
                             mode='markers',
                             showlegend=False,
                             hoverinfo="text",
-                            text = [f"{index_name}: {index}<br>shap: {shap}" 
+                            text = [f"{idxs.name}: {index}<br>shap: {shap}" 
                                         for index, shap in zip(idxs[(X_col == cat)], shap_values[X_col == cat])],
                             marker=dict(size=7, 
                                     opacity=0.6,
@@ -961,7 +979,7 @@ def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False,
             fig.add_trace(
                 go.Scattergl(
                     x=[0], 
-                    y=[shaps_values[highlight_idx]], 
+                    y=[shap_values[highlight_idx]], 
                     mode='markers',
                     marker=dict(
                         color='LightSkyBlue',
@@ -972,8 +990,8 @@ def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False,
                             width=4
                         )
                     ),
-                    name = f"{index_name} {highlight_name}",
-                    text=f"{index_name} {highlight_name}",
+                    name = f"{idxs.name} {highlight_name}",
+                    text=f"{idxs.name} {highlight_name}",
                     hoverinfo="text",
                     showlegend=False,
                 ), row=1, col=col+1)
@@ -1429,15 +1447,16 @@ def plotly_pr_auc_curve(true_y, pred_probas, cutoff=None):
     return fig
 
 
-def plotly_shap_scatter_plot(shap_values, X, display_columns=None, title="Shap values", 
-                idxs=None, highlight_index=None, na_fill=-999, index_name="index"):
+def plotly_shap_scatter_plot(X, shap_values_df, display_columns=None, title="Shap values", 
+                idxs=None, highlight_index=None, na_fill=-999, round=3, index_name="index"):
     """Generate a shap values summary plot where features are ranked from
     highest mean absolute shap value to lowest, with point clouds shown
     for each feature. 
 
     Args:
-        shap_values (np.ndarray): shap_values
+        
         X (pd.DataFrame): dataframe of input features
+        shap_values_df (pd.DataFrame): dataframe shap_values with same columns as X
         display_columns (List[str]): list of feature to be displayed. If None
             default to all columns in X.
         title (str, optional): Title to display above graph. 
@@ -1448,20 +1467,22 @@ def plotly_shap_scatter_plot(shap_values, X, display_columns=None, title="Shap v
             Defaults to None.
         na_fill (int, optional): Fill value used to fill missing values, 
             will be colored grey in the graph.. Defaults to -999.
+        round (int, optional): rounding to apply to floats. Defaults to 3.
         index_name (str): identifier for idxs. Defaults to "index".
 
     Returns:
         Plotly fig
     """
-    
+    assert matching_cols(X, shap_values_df), "X and shap_values_df should have matching columns!"
     if display_columns is None:
         display_columns = X.columns.tolist()
     if idxs is not None:
         assert len(idxs)==X.shape[0]
-        idxs = np.array([str(idx) for idx in idxs])
+        idxs = pd.Index(idxs).astype(str)
     else:
-        idxs = np.array([str(i) for i in range(X.shape[0])])
+        idxs = X.index.astype(str)
         
+    length = len(X)
     if highlight_index is not None:
         if isinstance(highlight_index, int):
             assert highlight_index >=0 and highlight_index < len(X), \
@@ -1475,23 +1496,48 @@ def plotly_shap_scatter_plot(shap_values, X, display_columns=None, title="Shap v
             raise ValueError("Please pass either int or str highlight_index!")
         
     # make sure that columns are actually in X:
-    display_columns = [col for col in display_columns if col in X.columns.tolist()]    
-    shap_df = pd.DataFrame(shap_values, columns=X.columns, index=X.index)
-    min_shap = np.round(shap_values.min()-0.01, 2)
-    max_shap = np.round(shap_values.max()+0.01, 2)
+    display_columns = [col for col in display_columns if col in X.columns]  
+    min_shap = shap_values_df.min().min()
+    max_shap = shap_values_df.max().max()
+    shap_range = max_shap - min_shap
+    min_shap = min_shap - 0.01 * shap_range
+    max_shap = max_shap + 0.01 * shap_range
 
     fig =  make_subplots(rows=len(display_columns), cols=1, 
                          subplot_titles=display_columns, shared_xaxes=True)
     
     for i, col in enumerate(display_columns):
-        
-        if is_string_dtype(X[col]): 
+        if is_numeric_dtype(X[col]):
+            # numerical feature get a single bluered plot
+            fig.add_trace(go.Scattergl(
+                            x=shap_values_df[col],
+                            y=np.random.rand(length),
+                            mode='markers',
+                            marker=dict(
+                              size=5,
+                              color=X[col].replace({na_fill:np.nan}),
+                              colorscale='Bluered',
+                              showscale=True,
+                              opacity=0.3,
+                              colorbar=dict(
+                                title="feature value <br> (red is high)", 
+                                showticklabels=False),
+                            ),
+                            name=col,
+                            showlegend=False,
+                            opacity=0.8,
+                            hoverinfo="text",
+                            text=[f"{index_name}={i}<br>{col}={value}<br>shap={np.round(shap,3)}" 
+                              for i, shap, value in zip(idxs, shap_values_df[col], X[col].replace({na_fill:np.nan}))],
+                            ),
+                     row=i+1, col=1);
+        else: 
             # if str type then categorical variable, 
             # so plot each category in a different color:
             for onehot_col in X[col].unique().tolist():
                 fig.add_trace(go.Scattergl(
-                                x=shap_df[X[col]==onehot_col][col],
-                                y=np.random.rand(len(shap_df[X[col]==onehot_col])),
+                                x=shap_values_df[X[col]==onehot_col][col],
+                                y=np.random.rand(len(shap_values_df[X[col]==onehot_col])),
                                 mode='markers',
                                 marker=dict(
                                       size=5,
@@ -1503,36 +1549,14 @@ def plotly_shap_scatter_plot(shap_values, X, display_columns=None, title="Shap v
                                 opacity=0.8,
                                 hoverinfo="text",
                                 text=[f"{index_name}={i}<br>{col}={onehot_col}<br>shap={np.round(shap,3)}" 
-                                      for i, shap in zip(idxs[X[col]==onehot_col], shap_df[X[col]==onehot_col][col])],
-                                ),
-                     row=i+1, col=1);
-        else:
-            # numerical feature get a single bluered plot
-            fig.add_trace(go.Scattergl(x=shap_df[col],
-                                   y=np.random.rand(len(shap_df)),
-                                  mode='markers',
-                                  marker=dict(
-                                      size=5,
-                                      color=X[col].replace({na_fill:np.nan}),
-                                      colorscale='Bluered',
-                                      showscale=True,
-                                      opacity=0.3,
-                                      colorbar=dict(
-                                        title="feature value <br> (red is high)", 
-                                        showticklabels=False),
-                                  ),
-                                name=col,
-                                showlegend=False,
-                                opacity=0.8,
-                                hoverinfo="text",
-                                text=[f"{index_name}={i}<br>{col}={value}<br>shap={np.round(shap,3)}" 
-                                      for i, shap, value in zip(idxs, shap_df[col], X[col].replace({-999:np.nan}))],
+                                      for i, shap in zip(idxs[X[col]==onehot_col], shap_values_df[X[col]==onehot_col][col])],
                                 ),
                      row=i+1, col=1);
+
         if highlight_index is not None:
             fig.add_trace(
             go.Scattergl(
-                x=[shap_df[col].iloc[highlight_idx]], 
+                x=[shap_values_df[col].iloc[highlight_idx]], 
                 y=[0], 
                 mode='markers',
                 marker=dict(
@@ -1545,7 +1569,7 @@ def plotly_shap_scatter_plot(shap_values, X, display_columns=None, title="Shap v
                     )
                 ),
                 name = f"{index_name} {highlight_index}",
-                text=f"index={highlight_index}<br>{col}={X[col].iloc[highlight_idx]}<br>shap={shap_df[col].iloc[highlight_idx]}",
+                text=f"index={highlight_index}<br>{col}={X[col].iloc[highlight_idx]}<br>shap={shap_values_df[col].iloc[highlight_idx]}",
                 hoverinfo="text",
                 showlegend=False,
             ), row=i+1, col=1)
diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index 7b54138..52d3053 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -113,6 +113,9 @@ def __init__(self, model, X, y=None, permutation_metric=r2_score,
         self.categorical_cols = [col for col in self.regular_cols if not is_numeric_dtype(X[col])]
         self.categorical_dict = {col:sorted(X[col].unique().tolist()) for col in self.categorical_cols}
         self.cat_cols = self.onehot_cols + self.categorical_cols
+        self.original_cols = self.X.columns
+        self.merged_cols = pd.Index(self.regular_cols + self.onehot_cols)
+
         if self.categorical_cols:
             for col in self.categorical_cols:
                 self.X[col] = self.X[col].astype("category")
@@ -122,7 +125,7 @@ def __init__(self, model, X, y=None, permutation_metric=r2_score,
             self.interactions_should_work = False
 
         if y is not None:
-            self.y = pd.Series(y)
+            self.y = pd.Series(y).astype(precision)
             self.y_missing = False
         else:
             self.y = pd.Series(np.full(len(X), np.nan))
@@ -177,7 +180,7 @@ def __init__(self, model, X, y=None, permutation_metric=r2_score,
         self.permutation_cv = permutation_cv
         self.na_fill = na_fill
         self.precision = precision
-        self.columns = self.X.columns.tolist()
+        self.columns = self.X.columns
         self.pos_label = None
         self.units = ""
         self.is_classifier = False
@@ -295,28 +298,10 @@ def __len__(self):
         return len(self.X)
 
     def __contains__(self, index):
-        if self.get_int_idx(index) is not None:
+        if self.get_idx(index) is not None:
             return True
         return False
 
-    def check_cats(self, col1, col2=None):
-        """check whether should use cats=True based on col1 (and col2)
-
-        Args:
-          col1: First column
-          col2:  Second column (Default value = None)
-
-        Returns:
-          Boolean whether cats should be True
-
-        """
-        if col1 in self.onehot_cols: 
-            return True
-        if col2 is not None and col2 in self.onehot_cols:
-            return True
-        return False
-
-
     @property
     def shap_explainer(self):
         """ """
@@ -352,7 +337,7 @@ def shap_explainer(self):
                     self.X_background if self.X_background is not None else self.X)
         return self._shap_explainer
 
-    def get_int_idx(self, index):
+    def get_idx(self, index):
         """Turn str index into an int index
 
         Args:
@@ -445,7 +430,7 @@ def pred_percentiles(self):
                                 .values).astype(self.precision)
         return make_callable(self._pred_percentiles)
 
-    def columns_ranked_by_shap(self, cats=False, pos_label=None):
+    def columns_ranked_by_shap(self, pos_label=None):
         """returns the columns of X, ranked by mean abs shap value
 
         Args:
@@ -456,10 +441,7 @@ def columns_ranked_by_shap(self, cats=False, pos_label=None):
           list of columns
 
         """
-        if cats:
-            return self.mean_abs_shap_cats(pos_label).Feature.tolist()
-        else:
-            return self.mean_abs_shap(pos_label).Feature.tolist()
+        return self.mean_abs_shap_df(pos_label).Feature.tolist()
 
     def n_features(self, cats=False):
         """number of features with cats=True or cats=False
@@ -471,37 +453,7 @@ def n_features(self, cats=False):
             int, number of features
 
         """
-        if cats:
-            return len(self.regular_cols)+len(self.onehot_cols)
-        else:
-            return len(self.columns)
-
-    def equivalent_col(self, col):
-        """Find equivalent col in columns_cats or columns
-        
-        if col in self.columns, return equivalent col in self.columns_cats,
-                e.g. equivalent_col('Gender_Male') -> 'Gender'
-        if col in self.columns_cats, return first one hot encoded col,
-                e.g. equivalent_col('Gender') -> 'Gender_Male'
-        
-        (useful for switching between cats=True and cats=False, while
-            maintaining column selection)
-
-        Args:
-          col:  col to get equivalent col for
-
-        Returns:
-          col
-        """
-        if col in self.regular_cols:
-            return col
-        elif col in self.onehot_cols:
-            # first onehot-encoded columns
-            return self.onehot_dict[col][0]
-        elif col in self.encoded_cols:
-            # the cat that the col belongs to
-            return [k for k, v in self.onehot_dict.items() if col in v][0]
-        return None
+        return len(self.merged_cols)
 
     def ordered_cats(self, col, topx=None, sort='alphabet', pos_label=None):
         """Return a list of categories in an categorical column, sorted
@@ -539,31 +491,25 @@ def ordered_cats(self, col, topx=None, sort='alphabet', pos_label=None):
             else:
                 return X[col].value_counts().nlargest(topx).index.tolist()
         elif sort=='shap':
-            sv = self.shap_values_cats(pos_label) if col in onehot_cols else self.shap_values(pos_label)
-
             if topx is None:
-                return (pd.Series(sv[:, self.columns_cats.index(col)], 
-                        index=X[col]).abs().groupby(level=0).mean()
-                            .sort_values(ascending=False).index.tolist())
+                return (pd.Series(self.shap_values_df(pos_label)[col].values, index=self.X_cats[col].values)
+                            .abs().groupby(level=0).mean().sort_values(ascending=False).index.tolist())
             else:
-                return (pd.Series(sv[:, self.columns_cats.index(col)], 
-                        index=X[col]).abs().groupby(level=0).mean()
-                            .sort_values(ascending=False).nlargest(topx).index.tolist())
+                return (pd.Series(self.shap_values_df(pos_label)[col].values, index=self.X_cats[col].values)
+                            .abs().groupby(level=0).mean().sort_values(ascending=False).nlargest(topx).index.tolist())
         else:
             raise ValueError(f"sort='{sort}', but should be in {{'alphabet', 'freq', 'shap'}}")
 
-
     def get_index_list(self):
         return list(self.idxs)
 
-    def get_X_row(self, index, cats=False):
-        idx = self.get_int_idx(index)
-        X_row = self.X.iloc[[idx]]
-        if cats:
-            X_row = merge_categorical_columns(X_row, self.onehot_dict, drop_regular=False)[self.columns_cats]
+    def get_X_row(self, index, merge=False):
+        X_row = self.X.iloc[[self.get_idx(index)]]
+        if merge:
+            X_row = merge_categorical_columns(X_row, self.onehot_dict)[self.merged_cols]
         return X_row
 
-    def get_row_from_input(self, inputs:List, ranked_by_shap=False):
+    def get_row_from_input(self, inputs:List, ranked_by_shap=False, return_merged=False):
         """returns a single row pd.DataFrame from a given list of *inputs"""
         if len(inputs)==1 and isinstance(inputs[0], list):
             inputs = inputs[0]
@@ -571,17 +517,25 @@ def get_row_from_input(self, inputs:List, ranked_by_shap=False):
             inputs = list(inputs[0])
         else:
             inputs = list(inputs)
-        if len(inputs) == len(self.columns_cats):
-            cols = self.columns_ranked_by_shap(cats=True) if ranked_by_shap else self.columns_cats
-            df = pd.DataFrame(dict(zip(cols, inputs)), index=[0]).fillna(self.na_fill)
-            return df[self.columns_cats]
+
+        if len(inputs) == len(self.merged_cols):
+            cols = self.columns_ranked_by_shap() if ranked_by_shap else self.merged_cols
+            df_merged = pd.DataFrame(dict(zip(cols, inputs)), index=[0]).fillna(self.na_fill)[self.merged_cols]
+            if return_merged:
+                return df_merged
+            else:
+                return X_cats_to_X(df_merged, self.onehot_dict, self.columns)
+
         elif len(inputs) == len(self.columns):
-            cols = self.columns_ranked_by_shap() if ranked_by_shap else self.columns
+            cols = self.columns
             df = pd.DataFrame(dict(zip(cols, inputs)), index=[0]).fillna(self.na_fill)
-            return df[self.columns]
+            if return_merged:
+                return merge_categorical_columns(df, self.onehot_dict, self.merged_cols)
+            else:
+                return df
         else:
             raise ValueError(f"len inputs {len(inputs)} should be the same length as either "
-                f"explainer.columns_cats ({len(self.columns_cats)}) or "
+                f"explainer.merged_cols ({len(self.merged_cols)}) or "
                 f"explainer.columns ({len(self.columns)})!")
 
 
@@ -596,8 +550,6 @@ def description(self, col):
         """
         if col in self.descriptions.keys():
             return self.descriptions[col]
-        elif self.equivalent_col(col) in self.descriptions.keys():
-            return self.descriptions[self.equivalent_col(col)]
         return ""
 
     def description_list(self, cols):
@@ -626,14 +578,11 @@ def get_col(self, col):
         assert col in self.columns or col in self.onehot_cols, \
             f"{col} not in columns!"
 
-        if col in self.X.columns:
+        if col in self.onehot_cols:
+            return self.X_cats[col]
+        else:
             return self.X[col]
-        elif col in self.onehot_cols:
-            if hasattr(self, "_X_cats"):
-                return self._X_cats[col]
-            else:
-                return pd.Series(retrieve_onehot_value(
-                    self.X, col, self.onehot_dict[col]), name=col)
+
         
     def get_col_value_plus_prediction(self, col, index=None, X_row=None, pos_label=None):
         """return value of col and prediction for either index or X_row
@@ -642,30 +591,29 @@ def get_col_value_plus_prediction(self, col, index=None, X_row=None, pos_label=N
           col: feature col
           index (str or int, optional): index row
           X_row (single row pd.DataFrame, optional): single row of features
+          pos_label (int): positive label
         
         Returns:
-          tupe(value of col, prediction for index)
+          value of col, prediction for index
 
         """
-        
         assert (col in self.X.columns) or (col in self.onehot_cols),\
             f"{col} not in columns of dataset"
         if index is not None:
             X_row = self.get_X_row(index)
         if X_row is not None:
             assert X_row.shape[0] == 1, "X_Row should be single row dataframe!"
-            
-            if ((len(X_row.columns) == len(self.columns_cats)) and 
-                (X_row.columns == self.columns_cats).all()):
-                X_row = X_cats_to_X(X_row, self.onehot_dict, self.X.columns)    
-            else:
-                assert (X_row.columns == self.X.columns).all(), \
-                    "X_row should have the same columns as self.X or self.X_cats!"
-            
-            if col in X_row.columns:
+
+            if matching_cols(X_row.columns, self.merged_cols):
                 col_value = X_row[col].item()
-            elif col in self.onehot_cols:
-                col_value = retrieve_onehot_value(X_row, col, self.onehot_dict[col]).item()
+                X_row = X_cats_to_X(X_row, self.onehot_dict, self.columns)    
+            else:
+                assert matching_cols(X_row.columns, self.columns), \
+                    "X_row should have the same columns as explainer.columns or explainer.merged_cols!"
+                if col in self.onehot_cols:
+                    col_value = retrieve_onehot_value(X_row, col, self.onehot_dict[col]).item()
+                else:
+                    col_value = X_row[col].item()
 
             if self.is_classifier:
                 if pos_label is None:
@@ -685,38 +633,27 @@ def permutation_importances(self):
         """Permutation importances """
         if not hasattr(self, '_perm_imps'):
             print("Calculating importances...", flush=True)
-            self._perm_imps = cv_permutation_importances(
+            self._perm_imps = (cv_permutation_importances(
                                 self.model, self.X, self.y, self.metric,
-                                cv=self.permutation_cv,
-                                n_jobs=self.n_jobs,
-                                needs_proba=self.is_classifier)
-        return make_callable(self._perm_imps)
-
-    @property
-    def permutation_importances_cats(self):
-        """permutation importances with categoricals grouped"""
-        if not hasattr(self, '_perm_imps_cats'):
-            self._perm_imps_cats = cv_permutation_importances(
-                                self.model, self.X, self.y, self.metric, 
                                 onehot_dict=self.onehot_dict,
                                 cv=self.permutation_cv,
                                 n_jobs=self.n_jobs,
                                 needs_proba=self.is_classifier)
-        return make_callable(self._perm_imps_cats)
+                                .sort_values("Importance", ascending=False))
+            self._perm_imps = make_callable(self._perm_imps)                 
+        return self._perm_imps
 
     @property
     def X_cats(self):
         """X with categorical variables grouped together"""
         if not hasattr(self, '_X_cats'):
-            self._X_cats = merge_categorical_columns(self.X, self.onehot_dict)
+            self._X_cats = merge_categorical_columns(self.X, self.onehot_dict, drop_regular=True)
+            self._X_cats = self._X_cats.set_index(self.X.index)
         return self._X_cats
 
     @property
-    def columns_cats(self):
-        """columns of X with categorical features grouped"""
-        if not hasattr(self, '_columns_cats'):
-            self._columns_cats = self.regular_cols + self.X_cats.columns.tolist()
-        return self._columns_cats
+    def X_merged(self):
+        return self.X.merge(self.X_cats, left_index=True, right_index=True)[self.merged_cols]
 
     @property
     def shap_base_value(self):
@@ -727,7 +664,7 @@ def shap_base_value(self):
         if not hasattr(self, '_shap_base_value'):
             # CatBoost needs shap values calculated before expected value
             if not hasattr(self, "_shap_values"):
-                _ = self.shap_values
+                _ = self.shap_values_df
             self._shap_base_value = self.shap_explainer.expected_value
             if isinstance(self._shap_base_value, np.ndarray):
                 # shap library now returns an array instead of float
@@ -735,21 +672,17 @@ def shap_base_value(self):
         return make_callable(self._shap_base_value)
 
     @property
-    def shap_values(self):
+    def shap_values_df(self):
         """SHAP values calculated using the shap library"""
-        if not hasattr(self, '_shap_values'):
+        if not hasattr(self, '_shap_values_df'):
             print("Calculating shap values...", flush=True)
-            self._shap_values = pd.DataFrame(self.shap_explainer.shap_values(self.X).astype(self.precision), columns=self.columns)
-        return make_callable(self._shap_values)
+            self._shap_values_df = pd.DataFrame(self.shap_explainer.shap_values(self.X), 
+                                    columns=self.columns, index=self.X.index)
+            self._shap_values_df = merge_categorical_shap_values(
+                    self._shap_values_df, self.onehot_dict, self.merged_cols).astype(self.precision)
+            self._shap_values_df = make_callable(self._shap_values_df)
+        return self._shap_values_df
     
-    @property
-    def shap_values_cats(self):
-        """SHAP values when categorical features have been grouped"""
-        if not hasattr(self, '_shap_values_cats'):
-            self._shap_values_cats = merge_categorical_shap_values(
-                        self.X, self.shap_values, self.onehot_dict).astype(self.precision)
-        return make_callable(self._shap_values_cats)
-
     @property
     def shap_interaction_values(self):
         """SHAP interaction values calculated using shap library"""
@@ -765,41 +698,25 @@ def shap_interaction_values(self):
                     "reducing these will speed up the calculation.", 
                     flush=True)
             self._shap_interaction_values = \
-                self.shap_explainer.shap_interaction_values(self.X).astype(self.precision)
-        return make_callable(self._shap_interaction_values)
-
-    @property
-    def shap_interaction_values_cats(self):
-        """SHAP interaction values with categorical features grouped"""
-        if not hasattr(self, '_shap_interaction_values_cats'):
-            self._shap_interaction_values_cats = \
+                self.shap_explainer.shap_interaction_values(self.X)
+            self._shap_interaction_values = \
                 merge_categorical_shap_interaction_values(
-                    self.shap_interaction_values, self.columns, self.columns_cats, 
+                    self.shap_interaction_values, self.columns, self.merged_cols, 
                     self.onehot_dict).astype(self.precision)
-        return make_callable(self._shap_interaction_values_cats)
+            self._shap_interaction_values = make_callable(self._shap_interaction_values) 
+        return self._shap_interaction_values
 
     @property
-    def mean_abs_shap(self):
+    def mean_abs_shap_df(self):
         """Mean absolute SHAP values per feature."""
         if not hasattr(self, '_mean_abs_shap'):
-            self._mean_abs_shap = (self.shap_values.abs().mean()
+            self._mean_abs_shap_df = (self.shap_values_df[self.merged_cols].abs().mean()
                     .sort_values(ascending=False)
                     .to_frame().rename_axis(index="Feature").reset_index()
                     .rename(columns={0:"MEAN_ABS_SHAP"}))
-        return make_callable(self._mean_abs_shap)
-
-    @property
-    def mean_abs_shap_cats(self):
-        """Mean absolute SHAP values with categoricals grouped."""
-        if not hasattr(self, '_mean_abs_shap_cats'):
-            mean_abs_cats = (self.shap_values_cats.abs().mean()
-                    .to_frame().rename_axis(index="Feature").reset_index()
-                    .rename(columns={0:"MEAN_ABS_SHAP"}))
+            self._mean_abs_shap_df = make_callable(self._mean_abs_shap_df)
+        return self._mean_abs_shap_df
 
-            self._mean_abs_shap_cats = (pd.concat([
-                    mean_abs_cats, self.mean_abs_shap[self.mean_abs_shap.Feature.isin(self.regular_cols)]])
-                    .sort_values("MEAN_ABS_SHAP", ascending=False))
-        return make_callable(self._mean_abs_shap_cats)
 
     def calculate_properties(self, include_interactions=True):
         """Explicitely calculates all lazily calculated properties.
@@ -815,17 +732,14 @@ def calculate_properties(self, include_interactions=True):
 
         """
         _ = (self.preds,  self.pred_percentiles,
-                self.shap_base_value, self.shap_values,
-                self.mean_abs_shap)
+                self.shap_base_value, self.shap_values_df,
+                self.mean_abs_shap_df)
         if not self.y_missing:
             _ = self.permutation_importances
         if self.onehot_cols:
-            _ = (self.mean_abs_shap_cats, self.X_cats,
-                    self.shap_values_cats)
+            _ = self.X_cats
         if self.interactions_should_work and include_interactions:
             _ = self.shap_interaction_values
-            if self.onehot_cols:
-                _ = self.shap_interaction_values_cats
 
     def metrics(self, *args, **kwargs):
         """returns a dict of metrics.
@@ -834,33 +748,29 @@ def metrics(self, *args, **kwargs):
         """
         return {}
     
-    def mean_abs_shap_df(self, topx=None, cutoff=None, cats=False, pos_label=None):
+    def get_mean_abs_shap_df(self, topx=None, cutoff=None, pos_label=None):
         """sorted dataframe with mean_abs_shap
         
         returns a pd.DataFrame with the mean absolute shap values per features,
         sorted rom highest to lowest.
 
         Args:
-          topx(int, optional, optional): Only return topx most importance features, defaults to None
-          cutoff(float, optional, optional): Only return features with mean abs shap of at least cutoff, defaults to None
-          cats(bool, optional, optional): group categorical variables, defaults to False
+          topx(int, optional, optional): Only return topx most importance 
+            features, defaults to None
+          cutoff(float, optional, optional): Only return features with mean 
+            abs shap of at least cutoff, defaults to None
           pos_label:  (Default value = None)
 
         Returns:
           pd.DataFrame: shap_df
 
         """
-        if cats:
-            shap_df = self.mean_abs_shap_cats(pos_label)
-        else:
-            shap_df = self.mean_abs_shap(pos_label)
-
+        shap_df = self.mean_abs_shap_df(pos_label)
         if topx is None: topx = len(shap_df)
         if cutoff is None: cutoff = shap_df['MEAN_ABS_SHAP'].min()
-        return (shap_df[shap_df['MEAN_ABS_SHAP'] >= cutoff]
-                    .sort_values('MEAN_ABS_SHAP', ascending=False).head(topx))
+        return (shap_df[shap_df['MEAN_ABS_SHAP'] >= cutoff].head(topx))
 
-    def shap_top_interactions(self, col, topx=None, cats=False, pos_label=None):
+    def top_shap_interactions(self, col, topx=None, pos_label=None):
         """returns the features that interact with feature col in descending order.
         
         if shap interaction values have already been calculated, use those.
@@ -876,69 +786,40 @@ def shap_top_interactions(self, col, topx=None, cats=False, pos_label=None):
           list: top_interactions
 
         """
-        if col in self.onehot_cols:
-            cats = True
-        if cats:
-            if hasattr(self, '_shap_interaction_values'):
-                _ = self.shap_interaction_values_cats
-                col_idx = self.columns_cats.index(col)
-                order = np.argsort(-np.abs(self.shap_interaction_values_cats(pos_label)[:, col_idx, :]).mean(0))
-                top_interactions = np.array(self.columns_cats)[order].tolist()
-            else:
-                top_interactions = self.columns_ranked_by_shap(cats)
-                top_interactions.insert(0, top_interactions.pop(
-                    top_interactions.index(col))) #put col first
+        if hasattr(self, '_shap_interaction_values'):
+            col_idx = self.merged_cols.get_loc(col)
+            order = np.argsort(-np.abs(self.shap_interaction_values(pos_label)[:, col_idx, :]).mean(0))
+            top_interactions = self.merged_cols[order].tolist()
+        else:
+            top_interactions = self.columns_ranked_by_shap()
+            top_interactions.insert(0, top_interactions.pop(
+                top_interactions.index(col))) #put col first
 
-            if topx is None: 
-                return top_interactions
-            else:
-                return top_interactions[:topx]
+        if topx is None: 
+            return top_interactions
         else:
-            if hasattr(self, '_shap_interaction_values'):
-                col_idx = self.columns.index(col)
-                order = np.argsort(-np.abs(self.shap_interaction_values(pos_label)[:, col_idx, :]).mean(0))
-                top_interactions = self.X.columns[order].tolist()
-            else:
-                if hasattr(shap, "utils"):
-                    interaction_idxs = shap.utils.approximate_interactions(
-                        col, self.shap_values(pos_label), self.X)
-                elif hasattr(shap, "common"):
-                    # shap < 0.35 has approximate interactions in common module
-                    interaction_idxs = shap.common.approximate_interactions(
-                        col, self.shap_values(pos_label), self.X)
-
-                top_interactions = self.X.columns[interaction_idxs].tolist()
-                #put col first
-                top_interactions.insert(0, top_interactions.pop(-1)) 
-
-            if topx is None: 
-                return top_interactions
-            else:
-                return top_interactions[:topx]
+            return top_interactions[:topx]
 
-    def shap_interaction_values_by_col(self, col, cats=False, pos_label=None):
+    def shap_interaction_values_for_col(self, col, interact_col=None, pos_label=None):
         """returns the shap interaction values[np.array(N,N)] for feature col
 
         Args:
           col(str): features for which you'd like to get the interaction value
-          cats(bool, optional, optional): group categorical, defaults to False
           pos_label:  (Default value = None)
 
         Returns:
           np.array(N,N): shap_interaction_values
 
         """
-        if cats:
-            assert col in self.columns_cats, \
-                f"{col} not found in columns_cats!"
-            return self.shap_interaction_values_cats(pos_label)[:,
-                        self.columns_cats.index(col), :]
+        assert col in self.merged_cols, f"{col} not in self.merged_cols!"
+        if interact_col is None:
+            return self.shap_interaction_values(pos_label)[:, self.merged_cols.get_loc(col), :]
         else:
-            return self.shap_interaction_values(pos_label)[:,
-                        self.X.columns.get_loc(col), :]
+            assert interact_col in self.merged_cols, f"{interact_col} not in self.merged_cols!"
+            return self.shap_interaction_values(pos_label)[
+                :, self.merged_cols.get_loc(col), self.merged_cols.get_loc(interact_col)]
 
-    def permutation_importances_df(self, topx=None, cutoff=None, cats=False, 
-                                    pos_label=None):
+    def get_permutation_importances_df(self, topx=None, cutoff=None, pos_label=None):
         """dataframe with features ordered by permutation importance.
         
         For more about permutation importances.
@@ -950,31 +831,25 @@ def permutation_importances_df(self, topx=None, cutoff=None, cats=False,
                 features, defaults to None
           cutoff(float, optional, optional): only return features with importance 
                 of at least cutoff, defaults to None
-          cats(bool, optional, optional): Group categoricals, defaults to False
           pos_label:  (Default value = None)
 
         Returns:
           pd.DataFrame: importance_df
 
         """
-        if cats:
-            importance_df = self.permutation_importances_cats(pos_label)
-        else:
-            importance_df = self.permutation_importances(pos_label)
+        importance_df = self.permutation_importances(pos_label)
 
         if topx is None: topx = len(importance_df)
         if cutoff is None: cutoff = importance_df.Importance.min()
         return importance_df[importance_df.Importance >= cutoff].head(topx)
 
-    def importances_df(self, kind="shap", topx=None, cutoff=None, cats=False, 
-                        pos_label=None):
-        """wrapper function for mean_abs_shap_df() and permutation_importance_df()
+    def get_importances_df(self, kind="shap", topx=None, cutoff=None, pos_label=None):
+        """wrapper function for get_mean_abs_shap_df() and get_permutation_importance_df()
 
         Args:
           kind(str): 'shap' or 'permutations'  (Default value = "shap")
           topx: only display topx highest features (Default value = None)
           cutoff: only display features above cutoff (Default value = None)
-          cats: Group categoricals (Default value = False)
           pos_label: Positive class (Default value = None)
 
         Returns:
@@ -984,12 +859,12 @@ def importances_df(self, kind="shap", topx=None, cutoff=None, cats=False,
         assert kind=='shap' or kind=='permutation', \
                 "kind should either be 'shap' or 'permutation'!"
         if kind=='permutation':
-            return self.permutation_importances_df(topx, cutoff, cats, pos_label)
+            return self.get_permutation_importances_df(topx, cutoff, pos_label)
         elif kind=='shap':
-            return self.mean_abs_shap_df(topx, cutoff, cats, pos_label)
+            return self.get_mean_abs_shap_df(topx, cutoff, pos_label)
 
-    def contrib_df(self, index=None, X_row=None, cats=True, topx=None, cutoff=None, sort='abs',
-                    pos_label=None):
+    def contrib_df(self, index=None, X_row=None, topx=None, cutoff=None, 
+                    sort='abs', pos_label=None):
         """shap value contributions to the prediction for index.
         
         Used as input for the plot_contributions() method.
@@ -998,7 +873,6 @@ def contrib_df(self, index=None, X_row=None, cats=True, topx=None, cutoff=None,
           index(int or str): index for which to calculate contributions
           X_row (pd.DataFrame, single row): single row of feature for which
                 to calculate contrib_df. Can us this instead of index
-          cats(bool, optional, optional): Group categoricals, defaults to True
           topx(int, optional, optional): Only return topx features, remainder 
                     called REST, defaults to None
           cutoff(float, optional, optional): only return features with at least 
@@ -1018,53 +892,41 @@ def contrib_df(self, index=None, X_row=None, cats=True, topx=None, cutoff=None,
 
         if sort =='importance':
             if cutoff is None:
-                cols = self.columns_ranked_by_shap(cats)
+                cols = self.columns_ranked_by_shap()
             else:
-                cols = self.mean_abs_shap_df(cats=cats).query(f"MEAN_ABS_SHAP > {cutoff}").Feature.tolist()
+                cols = self.mean_abs_shap_df().query(f"MEAN_ABS_SHAP > {cutoff}").Feature.tolist()
             if topx is not None:
                 cols = cols[:topx]
         else:
             cols =  None
+        if index is not None:
+            X_row = self.get_X_row(index)
         if X_row is not None:
-            if ((len(X_row.columns) == len(self.columns_cats)) and 
-                (X_row.columns == self.columns_cats).all()):
-                X_row_cats = X_row  
+            if matching_cols(X_row.columns, self.merged_cols):
+                X_row_merged = X_row  
                 X_row = X_cats_to_X(X_row, self.onehot_dict, self.X.columns)       
             else:
-                assert (X_row.columns == self.X.columns).all(), \
-                    "X_row should have the same columns as self.X or self.X_cats!"
-                X_row_cats = merge_categorical_columns(X_row, self.onehot_dict, drop_regular=False)[self.columns_cats]
+                assert matching_cols(X_row.columns, self.columns), \
+                    "X_row should have the same columns as self.X or self.merged_cols!"
+                X_row_merged = merge_categorical_columns(X_row, self.onehot_dict, drop_regular=False)[self.merged_cols]
 
             shap_values = self.shap_explainer.shap_values(X_row)
             if self.is_classifier:
                 if not isinstance(shap_values, list) and len(self.labels)==2:
                     shap_values = [-shap_values, shap_values]
                 shap_values = shap_values[self.get_pos_label_index(pos_label)]
+            shap_values_df = pd.DataFrame(shap_values, columns=self.columns)
+
+            shap_values_df = merge_categorical_shap_values(shap_values_df, 
+                                    self.onehot_dict, self.merged_cols)
+            return get_contrib_df(self.shap_base_value(pos_label), shap_values_df.values[0], 
+                        remove_cat_names(X_row_merged, self.onehot_dict), 
+                        topx, cutoff, sort, cols)   
 
-            if cats:
-                shap_values_cats = merge_categorical_shap_values(X_row, shap_values, 
-                                        self.onehot_dict, self.columns_cats)
-                return get_contrib_df(self.shap_base_value(pos_label), shap_values_cats[0], 
-                            remove_cat_names(X_row_cats, self.onehot_dict), 
-                            topx, cutoff, sort, cols)   
-            else:
-                return get_contrib_df(self.shap_base_value(pos_label), shap_values[0], 
-                            X_row, topx, cutoff, sort, cols)  
-        elif index is not None:
-            idx = self.get_int_idx(index)
-            if cats:
-                return get_contrib_df(self.shap_base_value(pos_label), 
-                                        self.shap_values_cats(pos_label)[idx],
-                                        remove_cat_names(self.X_cats.iloc[[idx]], self.onehot_dict), 
-                                        topx, cutoff, sort, cols)
-            else:
-                return get_contrib_df(self.shap_base_value(pos_label), 
-                                        self.shap_values(pos_label)[idx],
-                                        self.X.iloc[[idx]], topx, cutoff, sort, cols)
         else:
             raise ValueError("Either index or X_row should be passed!")
 
-    def contrib_summary_df(self, index=None, X_row=None, cats=True, topx=None, cutoff=None, 
+    def contrib_summary_df(self, index=None, X_row=None, topx=None, cutoff=None, 
                             round=2, sort='abs', pos_label=None):
         """Takes a contrib_df, and formats it to a more human readable format
 
@@ -1072,7 +934,6 @@ def contrib_summary_df(self, index=None, X_row=None, cats=True, topx=None, cutof
           index: index to show contrib_summary_df for
           X_row (pd.DataFrame, single row): single row of feature for which
                 to calculate contrib_df. Can us this instead of index
-          cats: Group categoricals (Default value = True)
           topx: Only show topx highest features(Default value = None)
           cutoff: Only show features above cutoff (Default value = None)
           round: round figures (Default value = 2)
@@ -1085,18 +946,16 @@ def contrib_summary_df(self, index=None, X_row=None, cats=True, topx=None, cutof
         Returns:
           pd.DataFrame
         """
-        idx = self.get_int_idx(index) # if passed str convert to int index
-        return get_contrib_summary_df(
-                    self.contrib_df(idx, X_row, cats, topx, cutoff, sort, pos_label), 
-                model_output=self.model_output, round=round, units=self.units, na_fill=self.na_fill)
+        contrib_df = self.contrib_df(index, X_row, topx, cutoff, sort, pos_label)
+        return get_contrib_summary_df(contrib_df, model_output=self.model_output, 
+                        round=round, units=self.units, na_fill=self.na_fill)
 
-    def interactions_df(self, col, cats=False, topx=None, cutoff=None, 
+    def interactions_df(self, col, topx=None, cutoff=None, 
                             pos_label=None):
         """dataframe of mean absolute shap interaction values for col
 
         Args:
           col: Feature to get interactions_df for
-          cats: Group categoricals (Default value = False)
           topx: Only display topx most important features (Default value = None)
           cutoff: Only display features with mean abs shap of at least cutoff (Default value = None)
           pos_label: Positive class  (Default value = None)
@@ -1105,50 +964,12 @@ def interactions_df(self, col, cats=False, topx=None, cutoff=None,
           pd.DataFrame
 
         """
-        importance_df = get_absolute_shap_df(
-            self.columns_cats if cats else self.columns, 
-            self.shap_interaction_values_by_col(col, cats, pos_label))
+        importance_df = get_mean_absolute_shap_df(self.merged_cols, 
+            self.shap_interaction_values_for_col(col, pos_label))
 
         if topx is None: topx = len(importance_df)
-        if cutoff is None: cutoff = importance_df.MEAN_ABS_SHAP.min()
-        return importance_df[importance_df.MEAN_ABS_SHAP >= cutoff].head(topx)
-    
-    def formatted_contrib_df(self, index, round=None, lang='en', pos_label=None):
-        """contrib_df formatted in a particular idiosyncratic way.
-        
-        Additional language option for output in Dutch (lang='nl')
-
-        Args:
-          index(str or int): index to return contrib_df for
-          round(int, optional, optional): rounding of continuous features, defaults to 2
-          lang(str, optional, optional): language to name the columns, defaults to 'en'
-          pos_label:  (Default value = None)
-
-        Returns:
-          pd.DataFrame: formatted_contrib_df
-        """
-        cdf = self.contrib_df(index, cats=True, pos_label=pos_label).copy()
-        cdf.reset_index(inplace=True)
-        cdf.loc[cdf.col=='base_value', 'value'] = np.nan
-        cdf['row_id'] = self.get_int_idx(index)
-        cdf['name_id'] = index
-        cdf['cat_value'] = np.where(cdf.col.isin(self.onehot_cols), cdf.value, np.nan)
-        cdf['cont_value'] = np.where(cdf.col.isin(self.onehot_cols), np.nan, cdf.value)
-        if round is not None:
-            rounded_cont = np.round(cdf['cont_value'].values.astype(float), round)
-            cdf['value'] = np.where(cdf.col.isin(self.onehot_cols), cdf.cat_value, rounded_cont)
-        cdf['type'] = np.where(cdf.col.isin(self.onehot_cols), 'cat', 'cont')
-        cdf['abs_contribution'] = np.abs(cdf.contribution)
-        cdf = cdf[['row_id', 'name_id', 'contribution', 'abs_contribution',
-                    'col', 'value', 'cat_value', 'cont_value', 'type', 'index']]
-        if lang == 'nl':
-            cdf.columns = ['row_id', 'name_id', 'SHAP', 'ABS_SHAP', 'Variabele', 'Waarde',
-                            'Cat_Waarde', 'Cont_Waarde', 'Waarde_Type', 'Variabele_Volgorde']
-            return cdf
-
-        cdf.columns = ['row_id', 'name_id', 'SHAP', 'ABS_SHAP', 'Feature', 'Value',
-                        'Cat_Value', 'Cont_Value', 'Value_Type', 'Feature_Order']
-        return cdf
+        if cutoff is None: cutoff = importance_df['MEAN_ABS_SHAP'].min()
+        return importance_df[importance_df['MEAN_ABS_SHAP'] >= cutoff].head(topx)
 
     def pdp_df(self, col, index=None, X_row=None, drop_na=True, sample=500, 
                     n_grid_points=10, pos_label=None, sort='freq'):
@@ -1218,12 +1039,11 @@ def pdp_df(self, col, index=None, X_row=None, drop_na=True, sample=500,
                     self.X[(self.X.index!=index)].sample(sample_size)],
                     ignore_index=True, axis=0)
         elif X_row is not None:
-            if ((len(X_row.columns) == len(self.columns_cats)) and 
-                (X_row.columns == self.columns_cats).all()):
+            if matching_cols(X_row.columns, self.merged_cols):
                 X_row = X_cats_to_X(X_row, self.onehot_dict, self.X.columns)    
             else:
-                assert (X_row.columns == self.X.columns).all(), \
-                    "X_row should have the same columns as self.X or self.X_cats!"
+                assert matching_cols(X_row.columns, self.columns), \
+                    "X_row should have the same columns as self.X or self.merged_cols!"
 
             if isinstance(features, str) and drop_na: # regular col, not onehotencoded
                 sample_size=min(sample, len(self.X[(self.X[features] != self.na_fill)])-1)
@@ -1257,93 +1077,13 @@ def pdp_df(self, col, index=None, X_row=None, drop_na=True, sample=500,
             pdp_df = pdp_df.multiply(100)
         return pdp_df
 
-    def get_dfs(self, cats=True, round=None, lang='en', pos_label=None):
-        """return three summary dataframes for storing main results
-        
-        Returns three pd.DataFrames. The first with id, prediction, actual and
-        feature values, the second with only id and shap values. The third
-        is similar to contrib_df for every id.
-        These can then be used to build your own custom dashboard on these data,
-        for example using PowerBI.
-
-        Args:
-          cats(bool, optional, optional): group categorical variables, defaults to True
-          round(int, optional, optional): how to round shap values (Default value = None)
-          lang(str, optional, optional): language to format dfs in. Defaults to 'en', 'nl' also available
-          pos_label:  (Default value = None)
-
-        Returns:
-          pd.DataFrame, pd.DataFrame, pd.DataFrame: cols_df, shap_df, contribs_df
-
-        """
-        if cats:
-            cols_df = self.X_cats.copy()
-            shap_df = pd.DataFrame(self.shap_values_cats(pos_label), columns = self.X_cats.columns)
-        else:
-            cols_df = self.X.copy()
-            shap_df = pd.DataFrame(self.shap_values(pos_label), columns = self.X.columns)
-
-        actual_str = 'Uitkomst' if lang == 'nl' else 'Actual'
-        prediction_str = 'Voorspelling' if lang == 'nl' else 'Prediction'
-        
-        cols_df.insert(0, actual_str, self.y )
-        if self.is_classifier:
-            cols_df.insert(0, prediction_str, self.pred_probas)
-        else:
-            cols_df.insert(0, prediction_str, self.preds)
-        cols_df.insert(0, 'name_id', self.idxs)
-        cols_df.insert(0, 'row_id', range(len(self)))
- 
-        shap_df.insert(0, 'SHAP_base', np.repeat(self.shap_base_value, len(self)))
-        shap_df.insert(0, 'name_id', self.idxs)
-        shap_df.insert(0, 'row_id', range(len(self)))
-
-
-        contribs_df = None
-        for idx in range(len(self)):
-            fcdf = self.formatted_contrib_df(idx, round=round, lang=lang)
-            if contribs_df is None: contribs_df = fcdf
-            else: contribs_df = pd.concat([contribs_df, fcdf])
-
-        return cols_df, shap_df, contribs_df
-
-    def to_sql(self, conn, schema, name, if_exists='replace',
-                cats=True, round=None, lang='en', pos_label=None):
-        """Writes three dataframes generated by .get_dfs() to a sql server.
-        
-        Tables will be called name_COLS and name_SHAP and name_CONTRBIB
-
-        Args:
-          conn(sqlalchemy.engine.Engine or sqlite3.Connection):     
-                    database connecter acceptable for pd.to_sql
-          schema(str): schema to write to
-          name(str): name prefix of tables
-          cats(bool, optional, optional): group categorical variables, defaults to True
-          if_exists({'fail’, ‘replace’, ‘append’}, default ‘replace’, optional): 
-                    How to behave if the table already exists. (Default value = 'replace')
-          round(int, optional, optional): how to round shap values (Default value = None)
-          lang(str, optional, optional): language to format dfs in. Defaults to 'en', 'nl' also available
-          pos_label:  (Default value = None)
-
-        Returns:
-
-        """
-        cols_df, shap_df, contribs_df = self.get_dfs(cats, round, lang, pos_label)
-        cols_df.to_sql(con=conn, schema=schema, name=name+"_COLS",
-                        if_exists=if_exists, index=False)
-        shap_df.to_sql(con=conn, schema=schema, name=name+"_SHAP",
-                        if_exists=if_exists, index=False)
-        contribs_df.to_sql(con=conn, schema=schema, name=name+"_CONTRIB",
-                        if_exists=if_exists, index=False)
-
-    def plot_importances(self, kind='shap', topx=None, cats=False, round=3, pos_label=None):
+    def plot_importances(self, kind='shap', topx=None,  round=3, pos_label=None):
         """plot barchart of importances in descending order.
 
         Args:
           type(str, optional): shap' for mean absolute shap values, 'permutation' for
                     permutation importances, defaults to 'shap'
           topx(int, optional, optional): Only return topx features, defaults to None
-          cats(bool, optional, optional): Group categoricals defaults to False
           kind:  (Default value = 'shap')
           round:  (Default value = 3)
           pos_label:  (Default value = None)
@@ -1352,7 +1092,7 @@ def plot_importances(self, kind='shap', topx=None, cats=False, round=3, pos_labe
           plotly.fig: fig
 
         """
-        importances_df = self.importances_df(kind=kind, topx=topx, cats=cats, pos_label=pos_label)
+        importances_df = self.get_importances_df(kind=kind, topx=topx, pos_label=pos_label)
         if kind=='shap':
             if self.target: 
                 title = f"Average impact on predicted {self.target}<br>(mean absolute SHAP value)"
@@ -1370,12 +1110,11 @@ def plot_importances(self, kind='shap', topx=None, cats=False, round=3, pos_labe
             return plotly_importances_plot(importances_df, round=round, units=units, title=title)
 
 
-    def plot_interactions(self, col, cats=False, topx=None, pos_label=None):
+    def plot_interactions(self, col, topx=None, pos_label=None):
         """plot mean absolute shap interaction value for col.
 
         Args:
           col: column for which to generate shap interaction value
-          cats(bool, optional, optional): Group categoricals defaults to False
           topx(int, optional, optional): Only return topx features, defaults to None
           pos_label:  (Default value = None)
 
@@ -1383,13 +1122,11 @@ def plot_interactions(self, col, cats=False, topx=None, pos_label=None):
           plotly.fig: fig
 
         """
-        if col in self.onehot_cols:
-            cats = True
-        interactions_df = self.interactions_df(col, cats=cats, topx=topx, pos_label=pos_label)
+        interactions_df = self.interactions_df(col,topx=topx, pos_label=pos_label)
         title = f"Average interaction shap values for {col}"
         return plotly_importances_plot(interactions_df, units=self.units, title=title)
 
-    def plot_shap_contributions(self, index=None, X_row=None, cats=True, topx=None, cutoff=None, 
+    def plot_shap_contributions(self, index=None, X_row=None, topx=None, cutoff=None, 
                         sort='abs', orientation='vertical', higher_is_better=True,
                         round=2, pos_label=None):
         """plot waterfall plot of shap value contributions to the model prediction for index.
@@ -1399,7 +1136,6 @@ def plot_shap_contributions(self, index=None, X_row=None, cats=True, topx=None,
           X_row (pd.DataFrame single row): a single row of a features to plot
                 shap contributions for. Can use this instead of index for
                 what-if scenarios.
-          cats(bool, optional, optional): Group categoricals, defaults to True
           topx(int, optional, optional): Only display topx features, 
                         defaults to None
           cutoff(float, optional, optional): Only display features with at least 
@@ -1422,12 +1158,12 @@ def plot_shap_contributions(self, index=None, X_row=None, cats=True, topx=None,
 
         """
         assert orientation in ['vertical', 'horizontal']
-        contrib_df = self.contrib_df(self.get_int_idx(index), X_row, cats, topx, cutoff, sort, pos_label)
+        contrib_df = self.contrib_df(index, X_row, topx, cutoff, sort, pos_label)
         return plotly_contribution_plot(contrib_df, model_output=self.model_output, 
                     orientation=orientation, round=round, higher_is_better=higher_is_better,
                     target=self.target, units=self.units)
 
-    def plot_shap_summary(self, index=None, topx=None, cats=False, pos_label=None):
+    def plot_shap_summary(self, index=None, topx=None, pos_label=None):
         """Plot barchart of mean absolute shap value.
         
         Displays all individual shap value for each feature in a horizontal
@@ -1436,7 +1172,6 @@ def plot_shap_summary(self, index=None, topx=None, cats=False, pos_label=None):
         Args:
           index (str or int): index to highlight
           topx(int, optional): Only display topx most important features, defaults to None
-          cats(bool, optional): Group categoricals , defaults to False
           pos_label: positive class (Default value = None)
 
         Returns:
@@ -1460,30 +1195,20 @@ def plot_shap_summary(self, index=None, topx=None, cats=False, pos_label=None):
             else:
                 title = f"Impact of Feature on Prediction<br> (SHAP values)"
 
-        if cats:
-            return plotly_shap_scatter_plot(
-                                self.shap_values_cats(pos_label),
-                                self.X_cats,
-                                self.importances_df(kind='shap', topx=topx, cats=True, pos_label=pos_label)\
-                                        ['Feature'].values.tolist(), 
-                                idxs=self.idxs.values,
-                                highlight_index=index,
-                                title=title,
-                                na_fill=self.na_fill,
-                                index_name=self.index_name)
-        else:
-            return plotly_shap_scatter_plot(
-                                self.shap_values(pos_label),
-                                self.X,
-                                self.importances_df(kind='shap', topx=topx, cats=False, pos_label=pos_label)\
-                                        ['Feature'].values.tolist(), 
+        cols = self.get_importances_df(kind='shap', topx=topx, pos_label=pos_label)\
+                                        ['Feature'].values.tolist()
+
+        return plotly_shap_scatter_plot(
+                                self.X_merged[cols],
+                                self.shap_values_df(pos_label)[cols],
+                                cols, 
                                 idxs=self.idxs.values,
                                 highlight_index=index,
                                 title=title,
                                 na_fill=self.na_fill,
                                 index_name=self.index_name)
 
-    def plot_shap_interaction_summary(self, col, index=None, topx=None, cats=False, pos_label=None):
+    def plot_shap_interaction_summary(self, col, index=None, topx=None,  pos_label=None):
         """Plot barchart of mean absolute shap interaction values
         
         Displays all individual shap interaction values for each feature in a
@@ -1499,16 +1224,18 @@ def plot_shap_interaction_summary(self, col, index=None, topx=None, cats=False,
         Returns:
           fig
         """
-        if col in self.onehot_cols:
-            cats = True
-        interact_cols = self.shap_top_interactions(col, cats=cats, pos_label=pos_label)
+        interact_cols = self.top_shap_interactions(col, pos_label=pos_label)
+
+        shap_df = pd.DataFrame(self.shap_interaction_values_for_col(col, pos_label=pos_label),
+                            columns=self.merged_cols, index=self.idxs)
+                            
+                            
         if topx is None: topx = len(interact_cols)
         title = f"Shap interaction values for {col}"
 
         return plotly_shap_scatter_plot(
-                self.shap_interaction_values_by_col(col, cats=cats, pos_label=pos_label),
-                self.X_cats if cats else self.X, interact_cols[:topx], title=title, 
-                idxs=self.idxs.values, highlight_index=index, na_fill=self.na_fill,
+                self.X_merged, shap_df, interact_cols[:topx], title=title, 
+                idxs=self.idxs, highlight_index=index, na_fill=self.na_fill,
                 index_name=self.index_name)
 
     def plot_shap_dependence(self, col, color_col=None, highlight_index=None, 
@@ -1535,41 +1262,28 @@ def plot_shap_dependence(self, col, color_col=None, highlight_index=None,
         Returns:
 
         """
-        cats = self.check_cats(col, color_col)
-        highlight_idx = self.get_int_idx(highlight_index)
         if color_col is None:
             X_color_col = None
         else:
-            X_color_col = self.X_cats[color_col] if color_col in self.onehot_cols else self.X[color_col]
+            X_color_col = self.get_col(color_col)
 
-        if col in self.onehot_cols:
+        if col in self.cat_cols:
             return plotly_shap_violin_plot(
-                            self.X_cats[col], 
-                            self.shap_values_cats(pos_label)[col], 
+                            self.get_col(col), 
+                            self.shap_values_df(pos_label)[col], 
                             X_color_col, 
-                            highlight_index=highlight_idx,
-                            idxs=self.idxs.values,
-                            index_name=self.index_name,
+                            highlight_index=highlight_index,
+                            idxs=self.idxs,
                             cats_order=self.ordered_cats(col, topx, sort))
-        elif col in self.categorical_cols:
-            return plotly_shap_violin_plot(
-                self.X[col], 
-                self.shap_values(pos_label)[col], 
-                X_color_col, 
-                highlight_index=highlight_idx,
-                idxs=self.idxs.values,
-                index_name=self.index_name,
-                cats_order=self.ordered_cats(col, topx, sort))
         else:
             return plotly_dependence_plot(
-                        self.X[col], 
-                        self.shap_values(pos_label)[col],
+                        self.get_col(col), 
+                        self.shap_values_df(pos_label)[col],
                         X_color_col, 
                         na_fill=self.na_fill, 
                         units=self.units, 
-                        highlight_index=highlight_idx,
-                        idxs=self.idxs.values,
-                        index_name=self.index_name)
+                        highlight_index=highlight_index,
+                        idxs=self.idxs)
 
     def plot_shap_interaction(self, col, interact_col, highlight_index=None, 
                                 topx=10, sort='alphabet', pos_label=None):
@@ -1585,22 +1299,23 @@ def plot_shap_interaction(self, col, interact_col, highlight_index=None,
           plotly.Fig: Plotly Fig
 
         """
-        cats = self.check_cats(col, interact_col)
-        highlight_idx = self.get_int_idx(highlight_index)
-
-        if cats and (interact_col in self.onehot_cols or interact_col in self.categorical_cols):
+        
+        if col in self.cat_cols:
             return plotly_shap_violin_plot(
-                self.X_cats, 
-                self.shap_interaction_values_by_col(col, cats, pos_label=pos_label),
-                interact_col, col, interaction=True, units=self.units, 
-                highlight_index=highlight_idx, idxs=self.idxs.values,
-                index_name=self.index_name, cats_order=self.ordered_cats(interact_col, topx, sort))
+                self.get_col(col), 
+                self.shap_interaction_values_for_col(col, interact_col, pos_label=pos_label),
+                self.get_col(interact_col), 
+                interaction=True, units=self.units, 
+                highlight_index=highlight_index, idxs=self.idxs,
+                cats_order=self.ordered_cats(col, topx, sort))
         else:
-            return plotly_dependence_plot(self.X_cats if cats else self.X,
-                self.shap_interaction_values_by_col(col, cats, pos_label=pos_label),
-                interact_col, col, interaction=True, units=self.units,
-                highlight_index=highlight_idx, idxs=self.idxs.values,
-                index_name=self.index_name)
+            return plotly_dependence_plot(
+                self.get_col(col),
+                self.shap_interaction_values_for_col(col, interact_col, pos_label=pos_label),
+                self.get_col(interact_col), 
+                interaction=True, units=self.units,
+                highlight_index=highlight_index, idxs=self.idxs)
+            
 
     def plot_pdp(self, col, index=None, X_row=None, drop_na=True, sample=100,
                     gridlines=100, gridpoints=10, sort='freq', round=2,
@@ -2508,10 +2223,10 @@ def __init__(self, model,  X, y=None, permutation_metric=r2_score,
         self.units = units
         self.is_regression = True
 
-        if str(type(self.model)).endswith("RandomForestRegressor'>"):
+        if safe_is_instance("RandomForestRegressor"):
             print(f"Changing class type to RandomForestRegressionExplainer...", flush=True)
             self.__class__ = RandomForestRegressionExplainer 
-        if str(type(self.model)).endswith("XGBRegressor'>"):
+        if safe_is_instance("XGBRegressor"):
             print(f"Changing class type to XGBRegressionExplainer...", flush=True)
             self.__class__ = XGBRegressionExplainer
 
@@ -2635,7 +2350,7 @@ def prediction_result_df(self, index=None, X_row=None, round=3):
         if index is None and X_row is None:
             raise ValueError("You need to either pass an index or X_row!")
         if index is not None:
-            int_idx = self.get_int_idx(index)
+            int_idx = self.get_idx(index)
             preds_df = pd.DataFrame(columns = ["", self.target])
             preds_df = preds_df.append(
                 pd.Series(("Predicted", str(np.round(self.preds[int_idx], round)) + f" {self.units}"), 
@@ -2649,11 +2364,11 @@ def prediction_result_df(self, index=None, X_row=None, round=3):
                         index=preds_df.columns), ignore_index=True)
 
         elif X_row is not None:
-            if X_row.columns.tolist()==self.columns_cats:
+            if matching_cols(X_row.columns, self.merged_cols):
                 X_row = X_cats_to_X(X_row, self.onehot_dict, self.X.columns) 
-            assert np.all(X_row.columns==self.X.columns), \
+            assert matching_cols(X_row.columns, self.columns), \
                 ("The column names of X_row should match X! Instead X_row.columns"
-                 f"={X_row.columns.tolist()}...")
+                 f"={X_row.columns}...")
             prediction = self.model.predict(X_row)[0]
             preds_df = pd.DataFrame(columns = ["", self.target])
             preds_df = preds_df.append(
@@ -2702,7 +2417,7 @@ def plot_predicted_vs_actual(self, round=2, logs=False, log_x=False, log_y=False
         if self.y_missing:
             raise ValueError("No y was passed to explainer, so cannot plot predicted vs actual!")
         return plotly_predicted_vs_actual(self.y, self.preds, 
-                target=self.target, units=self.units, idxs=self.idxs.values, 
+                target=self.target, units=self.units, idxs=self.idxs, 
                 logs=logs, log_x=log_x, log_y=log_y, round=round, 
                 index_name=self.index_name)
     
@@ -2721,7 +2436,7 @@ def plot_residuals(self, vs_actual=False, round=2, residuals='difference'):
         """
         if self.y_missing:
             raise ValueError("No y was passed to explainer, so cannot plot residuals!")
-        return plotly_plot_residuals(self.y, self.preds, idxs=self.idxs.values,
+        return plotly_plot_residuals(self.y, self.preds, idxs=self.idxs,
                                      vs_actual=vs_actual, target=self.target, 
                                      units=self.units, residuals=residuals, 
                                      round=round, index_name=self.index_name)
@@ -2746,9 +2461,8 @@ def plot_residuals_vs_feature(self, col, residuals='difference', round=2,
         """
         if self.y_missing:
             raise ValueError("No y was passed to explainer, so cannot plot residuals!")
-        assert col in self.columns or col in self.columns_cats, \
-            f'{col} not in columns or columns_cats!'
-        col_vals = self.X_cats[col] if self.check_cats(col) else self.X[col]
+        assert col in self.merged_cols, f'{col} not in explainer.merged_cols!'
+        col_vals = self.get_col(col)
         na_mask = col_vals != self.na_fill if dropna else np.array([True]*len(col_vals))
         return plotly_residuals_vs_col(
             self.y[na_mask], self.preds[na_mask], col_vals[na_mask], 
@@ -2773,9 +2487,8 @@ def plot_y_vs_feature(self, col, residuals='difference', round=2,
         """
         if self.y_missing:
             raise ValueError("No y was passed to explainer, so cannot plot y vs feature!")
-        assert col in self.columns or col in self.columns_cats, \
-            f'{col} not in columns or columns_cats!'
-        col_vals = self.X_cats[col] if self.check_cats(col) else self.X[col]
+        assert col in self.merged_cols, f'{col} not in explainer.merged_cols!'
+        col_vals = self.get_col(col)
         na_mask = col_vals != self.na_fill if dropna else np.array([True]*len(col_vals))
         return plotly_actual_vs_col(self.y[na_mask], self.preds[na_mask], col_vals[na_mask], 
                 idxs=self.idxs.values[na_mask], points=points, round=round, winsor=winsor,
@@ -2797,9 +2510,8 @@ def plot_preds_vs_feature(self, col, residuals='difference', round=2,
         Returns:
           plotly fig
         """
-        assert col in self.columns or col in self.columns_cats, \
-            f'{col} not in columns or columns_cats!'
-        col_vals = self.X_cats[col] if self.check_cats(col) else self.X[col]
+        assert col in self.merged_cols, f'{col} not in explainer.merged_cols!'
+        col_vals = self.get_col(col)
         na_mask = col_vals != self.na_fill if dropna else np.array([True]*len(col_vals))
         return plotly_preds_vs_col(self.y[na_mask], self.preds[na_mask], col_vals[na_mask], 
                 idxs=self.idxs.values[na_mask], points=points, round=round, winsor=winsor,
diff --git a/tests/test_cats_only.py b/tests/test_cats_only.py
index 2747e26..469b2fe 100644
--- a/tests/test_cats_only.py
+++ b/tests/test_cats_only.py
@@ -453,10 +453,10 @@ def test_mean_abs_shap_df(self):
         self.assertIsInstance(self.explainer.mean_abs_shap_df(), pd.DataFrame)
 
     def test_top_interactions(self):
-        self.assertIsInstance(self.explainer.shap_top_interactions("Age"), list)
-        self.assertIsInstance(self.explainer.shap_top_interactions("Age", topx=4), list)
-        self.assertIsInstance(self.explainer.shap_top_interactions("Age", cats=True), list)
-        self.assertIsInstance(self.explainer.shap_top_interactions("Sex", cats=True), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Age"), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Age", topx=4), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Age", cats=True), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Sex", cats=True), list)
 
     def test_permutation_importances_df(self):
         self.assertIsInstance(self.explainer.permutation_importances_df(), pd.DataFrame)
diff --git a/tests/test_classifier_base.py b/tests/test_classifier_base.py
index cb1c2dd..4a85e89 100644
--- a/tests/test_classifier_base.py
+++ b/tests/test_classifier_base.py
@@ -103,10 +103,10 @@ def test_mean_abs_shap_df(self):
         self.assertIsInstance(self.explainer.mean_abs_shap_df(), pd.DataFrame)
 
     def test_top_interactions(self):
-        self.assertIsInstance(self.explainer.shap_top_interactions("Age"), list)
-        self.assertIsInstance(self.explainer.shap_top_interactions("Age", topx=4), list)
-        self.assertIsInstance(self.explainer.shap_top_interactions("Age", cats=True), list)
-        self.assertIsInstance(self.explainer.shap_top_interactions("Gender", cats=True), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Age"), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Age", topx=4), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Age", cats=True), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Gender", cats=True), list)
 
     def test_permutation_importances_df(self):
         self.assertIsInstance(self.explainer.permutation_importances_df(), pd.DataFrame)
diff --git a/tests/test_linear_model.py b/tests/test_linear_model.py
index ef4e89c..9fe5b7f 100644
--- a/tests/test_linear_model.py
+++ b/tests/test_linear_model.py
@@ -59,10 +59,10 @@ def test_mean_abs_shap_df(self):
         self.assertIsInstance(self.explainer.mean_abs_shap_df(), pd.DataFrame)
 
     def test_top_interactions(self):
-        self.assertIsInstance(self.explainer.shap_top_interactions("Age"), list)
-        self.assertIsInstance(self.explainer.shap_top_interactions("Age", topx=4), list)
-        self.assertIsInstance(self.explainer.shap_top_interactions("Age", cats=True), list)
-        self.assertIsInstance(self.explainer.shap_top_interactions("Gender", cats=True), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Age"), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Age", topx=4), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Age", cats=True), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Gender", cats=True), list)
 
     def test_contrib_df(self):
         self.assertIsInstance(self.explainer.contrib_df(0), pd.DataFrame)
diff --git a/tests/test_multiclass.py b/tests/test_multiclass.py
index e70cb96..99b0868 100644
--- a/tests/test_multiclass.py
+++ b/tests/test_multiclass.py
@@ -66,10 +66,10 @@ def test_mean_abs_shap_df(self):
         self.assertIsInstance(self.explainer.mean_abs_shap_df(), pd.DataFrame)
 
     def test_top_interactions(self):
-        self.assertIsInstance(self.explainer.shap_top_interactions("Age"), list)
-        self.assertIsInstance(self.explainer.shap_top_interactions("Age", topx=4), list)
-        self.assertIsInstance(self.explainer.shap_top_interactions("Age", cats=True), list)
-        self.assertIsInstance(self.explainer.shap_top_interactions("Gender", cats=True), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Age"), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Age", topx=4), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Age", cats=True), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Gender", cats=True), list)
 
     def test_permutation_importances_df(self):
         self.assertIsInstance(self.explainer.permutation_importances_df(), pd.DataFrame)
diff --git a/tests/test_regression_base.py b/tests/test_regression_base.py
index 5514759..3c09a05 100644
--- a/tests/test_regression_base.py
+++ b/tests/test_regression_base.py
@@ -104,10 +104,10 @@ def test_mean_abs_shap_df(self):
         self.assertIsInstance(self.explainer.mean_abs_shap_df(), pd.DataFrame)
 
     def test_top_interactions(self):
-        self.assertIsInstance(self.explainer.shap_top_interactions("Age"), list)
-        self.assertIsInstance(self.explainer.shap_top_interactions("Age", topx=4), list)
-        self.assertIsInstance(self.explainer.shap_top_interactions("Age", cats=True), list)
-        self.assertIsInstance(self.explainer.shap_top_interactions("Gender", cats=True), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Age"), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Age", topx=4), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Age", cats=True), list)
+        self.assertIsInstance(self.explainer.top_shap_interactions("Gender", cats=True), list)
 
     def test_permutation_importances_df(self):
         self.assertIsInstance(self.explainer.permutation_importances_df(), pd.DataFrame)

From ede77ffa367fcf04ed739c2edee498ab0420688e Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Mon, 18 Jan 2021 21:54:26 +0100
Subject: [PATCH 03/28] adds external funcs

---
 .gitignore                                    |   1 +
 RELEASE_NOTES.md                              |  23 ++
 TODO.md                                       |  10 +-
 .../overview_components.py                    |   2 +-
 .../dashboard_components/shap_components.py   |  56 ++--
 explainerdashboard/dashboard_methods.py       |   4 +-
 explainerdashboard/explainer_methods.py       |   5 +-
 explainerdashboard/explainer_plots.py         | 120 +++++--
 explainerdashboard/explainers.py              | 302 +++++++++++-------
 9 files changed, 348 insertions(+), 175 deletions(-)

diff --git a/.gitignore b/.gitignore
index 16f9e00..2d4bd86 100644
--- a/.gitignore
+++ b/.gitignore
@@ -166,4 +166,5 @@ dashboard1.yaml
 dashboard2.yaml
 users.yaml
 users.json
+store_test.csv
 
diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index 1387ad0..9c5cd1c 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -1,5 +1,28 @@
 # Release Notes
 
+
+## 0.3.0:
+
+### Breaking Changes
+- 
+- 
+
+### New Features
+- new `memory_usage()` method
+- added `max_cat_colors` parameters to `plot_shap_summary` and `plot_shap_dependence` and `plot_shap_interaction`
+
+### Bug Fixes
+-
+-
+
+### Improvements
+- encoding onehot columns with np.int8
+- adds
+
+### Other Changes
+-
+-
+
 ## 0.2.20.1:
 
 
diff --git a/TODO.md b/TODO.md
index bc99367..65e7b35 100644
--- a/TODO.md
+++ b/TODO.md
@@ -5,15 +5,9 @@
 - check all register_dependencies()
 - rename tree methods
 - regression vs col:
-    - fix violin plots
-    - set cat col order
     - rename cat col names
-- fix json bug
-- fix shap summary
-- fix shap interaction summary detailed
-- fix shap interaction dependence: cats is flipped
-- set limited color_col categories
-- make violin points more opaque
+    - add cat col sorter
+- use prediction in xgboostexplainer plot_trees method
 
 ## Bugs:
 - dash contributions reload bug: Exception: Additivity check failed in TreeExplainer!
diff --git a/explainerdashboard/dashboard_components/overview_components.py b/explainerdashboard/dashboard_components/overview_components.py
index 862607a..d974fd8 100644
--- a/explainerdashboard/dashboard_components/overview_components.py
+++ b/explainerdashboard/dashboard_components/overview_components.py
@@ -209,7 +209,7 @@ def layout(self):
                             html.Label('Depth:', id='importances-depth-label-'+self.name),
                             dbc.Select(id='importances-depth-'+self.name,
                                         options = [{'label': str(i+1), 'value':i+1} 
-                                                    for i in range(self.explainer.n_features())],
+                                                    for i in range(self.explainer.n_features)],
                                         value=self.depth),
                             dbc.Tooltip("Select how many features to display", target='importances-depth-label-'+self.name)
                         ], md=2), self.hide_depth),   
diff --git a/explainerdashboard/dashboard_components/shap_components.py b/explainerdashboard/dashboard_components/shap_components.py
index e026815..9450e6c 100644
--- a/explainerdashboard/dashboard_components/shap_components.py
+++ b/explainerdashboard/dashboard_components/shap_components.py
@@ -24,7 +24,7 @@ def __init__(self, explainer, title='Shap Summary', name=None,
                     hide_title=False, hide_subtitle=False, hide_depth=False, 
                     hide_type=False, hide_index=False, hide_selector=False,
                     pos_label=None, depth=None, 
-                    summary_type="aggregate", index=None,
+                    summary_type="aggregate", max_cat_colors=5, index=None,
                     description=None, **kwargs):
         """Shows shap summary component
 
@@ -49,13 +49,15 @@ def __init__(self, explainer, title='Shap Summary', name=None,
             depth (int, optional): initial number of features to show. Defaults to None.
             summary_type (str, {'aggregate', 'detailed'}. optional): type of 
                         summary graph to show. Defaults to "aggregate".
+            max_cat_colors (int, optional): for categorical features, maximum number
+                of categories to label with own color. Defaults to 5. 
             description (str, optional): Tooltip to display when hover over
                 component title. When None default text is shown. 
         """
         super().__init__(explainer, title, name)
 
         if self.depth is not None:
-            self.depth = min(self.depth, self.explainer.n_features())
+            self.depth = min(self.depth, self.explainer.n_features)
 
         self.index_name = 'shap-summary-index-'+self.name
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
@@ -86,7 +88,7 @@ def layout(self):
                                         target='shap-summary-depth-label-'+self.name),
                             dbc.Select(id='shap-summary-depth-'+self.name,
                                 options=[{'label': str(i+1), 'value': i+1} for i in 
-                                            range(self.explainer.n_features())],
+                                            range(self.explainer.n_features)],
                                 value=self.depth)
                         ], md=2), self.hide_depth),
                     make_hideable(
@@ -157,7 +159,8 @@ def update_shap_summary_graph(summary_type, depth, index, pos_label):
                         kind='shap', topx=depth, pos_label=pos_label)
             elif summary_type == 'detailed':
                 plot = self.explainer.plot_shap_summary(
-                        topx=depth, pos_label=pos_label, index=index)
+                        topx=depth, pos_label=pos_label, index=index, 
+                        max_cat_colors=self.max_cat_colors)
             ctx = dash.callback_context
             trigger = ctx.triggered[0]['prop_id'].split('.')[0]
             if trigger == 'shap-summary-type-'+self.name:
@@ -178,7 +181,7 @@ def __init__(self, explainer, title='Shap Dependence', name=None,
                     hide_footer=False,
                     pos_label=None, 
                     col=None, color_col=None, index=None, 
-                    cats_topx=10, cats_sort='freq',
+                    cats_topx=10, cats_sort='freq', max_cat_colors=5,
                     description=None, **kwargs):
         """Show shap dependence graph
 
@@ -208,6 +211,8 @@ def __init__(self, explainer, title='Shap Dependence', name=None,
             index (int, optional): Highlight a particular index. Defaults to None.
             cats_sort (str, optional): how to sort categories: 'alphabet', 
                 'freq' or 'shap'. Defaults to 'freq'.
+            max_cat_colors (int, optional): for categorical features, maximum number
+                of categories to label with own color. Defaults to 5. 
             description (str, optional): Tooltip to display when hover over
                 component title. When None default text is shown. 
         """
@@ -294,7 +299,7 @@ def layout(self):
                             make_hideable(
                                 dbc.Col([
                                     dbc.Label("Categories:", id='shap-dependence-n-categories-label-'+self.name),
-                                    dbc.Tooltip("Number of categories to display", 
+                                    dbc.Tooltip("Maximum number of categories to display", 
                                                 target='shap-dependence-n-categories-label-'+self.name),
                                     dbc.Input(id='shap-dependence-n-categories-'+self.name, 
                                         value=self.cats_topx,
@@ -353,7 +358,8 @@ def update_dependence_graph(color_col, index, topx, sort, pos_label, col):
                     color_col, index = None, None
                 return self.explainer.plot_shap_dependence(
                             col, color_col, topx=topx, sort=sort, 
-                            highlight_index=index, pos_label=pos_label)
+                            highlight_index=index, max_cat_colors=self.max_cat_colors,
+                            pos_label=pos_label)
             raise PreventUpdate
             
 
@@ -394,7 +400,8 @@ def __init__(self, explainer, title="Interactions Summary", name=None,
                     hide_title=False, hide_subtitle=False, hide_col=False, hide_depth=False, 
                     hide_type=False, hide_index=False, hide_selector=False,
                     pos_label=None, col=None, depth=None, 
-                    summary_type="aggregate", index=None, description=None,
+                    summary_type="aggregate", max_cat_colors=5,
+                    index=None, description=None,
                     **kwargs):
         """Show SHAP Interaciton values summary component
 
@@ -422,6 +429,8 @@ def __init__(self, explainer, title="Interactions Summary", name=None,
                 Defaults to None.
             summary_type (str, {'aggregate', 'detailed'}, optional): type of 
                 summary graph to display. Defaults to "aggregate".
+            max_cat_colors (int, optional): for categorical features, maximum number
+                of categories to label with own color. Defaults to 5. 
             index (str):    Default index. Defaults to None.
             description (str, optional): Tooltip to display when hover over
                 component title. When None default text is shown. 
@@ -431,7 +440,7 @@ def __init__(self, explainer, title="Interactions Summary", name=None,
         if self.col is None:
             self.col = self.explainer.columns_ranked_by_shap()[0]
         if self.depth is not None:
-            self.depth = min(self.depth, self.explainer.n_features()-1)
+            self.depth = min(self.depth, self.explainer.n_features-1)
         self.index_name = 'interaction-summary-index-'+self.name
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
         if self.description is None: self.description = """
@@ -475,7 +484,7 @@ def layout(self):
                                     target='interaction-summary-depth-label-'+self.name),
                             dbc.Select(id='interaction-summary-depth-'+self.name, 
                                 options = [{'label': str(i+1), 'value':i+1} 
-                                                for i in range(self.explainer.n_features()-1)],
+                                                for i in range(self.explainer.n_features-1)],
                                 value=self.depth)
                         ], md=2), self.hide_depth),
                     make_hideable(
@@ -552,7 +561,8 @@ def update_interaction_scatter_graph(col, depth, summary_type, index, pos_label)
                     return plot, dict(display="none")
                 elif summary_type=='detailed':
                     plot = self.explainer.plot_shap_interaction_summary(
-                        col, topx=depth, pos_label=pos_label, index=index)
+                        col, topx=depth, pos_label=pos_label, index=index, 
+                        max_cat_colors=self.max_cat_colors)
                 return plot, {}
             raise PreventUpdate
 
@@ -565,7 +575,7 @@ def __init__(self, explainer, title="Interaction Dependence", name=None,
                     hide_selector=False, hide_cats_topx=False, hide_cats_sort=False,
                     hide_top=False, hide_bottom=False,
                     pos_label=None, col=None, interact_col=None,
-                    cats_topx=10, cats_sort='freq',
+                    cats_topx=10, cats_sort='freq', max_cat_colors=5,
                     description=None, index=None, **kwargs):
         """Interaction Dependence Component.
 
@@ -608,6 +618,8 @@ def __init__(self, explainer, title="Interaction Dependence", name=None,
                 categorical features.
             cats_sort (str, optional): how to sort categories: 'alphabet', 
                 'freq' or 'shap'. Defaults to 'freq'.
+            max_cat_colors (int, optional): for categorical features, maximum number
+                of categories to label with own color. Defaults to 5. 
             description (str, optional): Tooltip to display when hover over
                 component title. When None default text is shown. 
         """
@@ -694,7 +706,7 @@ def layout(self):
                         make_hideable(
                             dbc.Col([
                                 dbc.Label("Categories:", id='interaction-dependence-top-n-categories-label-'+self.name),
-                                dbc.Tooltip("Number of categories to display", 
+                                dbc.Tooltip("Maximum number of categories to display", 
                                             target='interaction-dependence-top-n-categories-label-'+self.name),
                                 dbc.Input(id='interaction-dependence-top-n-categories-'+self.name, 
                                     value=self.cats_topx,
@@ -731,7 +743,7 @@ def layout(self):
                         make_hideable(
                             dbc.Col([
                                 dbc.Label("Categories:", id='interaction-dependence-bottom-n-categories-label-'+self.name),
-                                dbc.Tooltip("Number of categories to display", 
+                                dbc.Tooltip("Maximum number of categories to display", 
                                             target='interaction-dependence-bottom-n-categories-label-'+self.name),
                                 dbc.Input(id='interaction-dependence-bottom-n-categories-'+self.name, 
                                     value=self.cats_topx,
@@ -784,8 +796,8 @@ def update_dependence_graph(interact_col, index, topx, sort, pos_label, col):
             if col is not None and interact_col is not None:
                 style = {} if interact_col in self.explainer.cat_cols else dict(display="none")
                 return (self.explainer.plot_shap_interaction(
-                            col, interact_col, highlight_index=index, pos_label=pos_label,
-                            topx=topx, sort=sort),
+                            interact_col, col, highlight_index=index, pos_label=pos_label,
+                            topx=topx, sort=sort, max_cat_colors=self.max_cat_colors),
                         style)
             raise PreventUpdate
 
@@ -802,8 +814,8 @@ def update_dependence_graph(interact_col, index, topx, sort, pos_label, col):
             if col is not None and interact_col is not None:
                 style = {} if col in self.explainer.cat_cols else dict(display="none")
                 return (self.explainer.plot_shap_interaction(
-                            interact_col, col, highlight_index=index, pos_label=pos_label,
-                            topx=topx, sort=sort),
+                            col, interact_col, highlight_index=index, pos_label=pos_label,
+                            topx=topx, sort=sort, max_cat_colors=self.max_cat_colors),
                         style)
             raise PreventUpdate
 
@@ -894,7 +906,7 @@ def __init__(self, explainer, title="Contributions Plot", name=None,
         self.index_name = 'contributions-graph-index-'+self.name
 
         if self.depth is not None:
-            self.depth = min(self.depth, self.explainer.n_features())
+            self.depth = min(self.depth, self.explainer.n_features)
         
         if self.feature_input_component is not None:
             self.exclude_callbacks(self.feature_input_component)
@@ -945,7 +957,7 @@ def layout(self):
                                     target='contributions-graph-depth-label-'+self.name),
                             dbc.Select(id='contributions-graph-depth-'+self.name, 
                                 options = [{'label': str(i+1), 'value':i+1} 
-                                                for i in range(self.explainer.n_features())],
+                                                for i in range(self.explainer.n_features)],
                                 value=None if self.depth is None else str(self.depth))
                         ], md=2), hide=self.hide_depth),
                     make_hideable(
@@ -1061,7 +1073,7 @@ def __init__(self, explainer, title="Contributions Table", name=None,
         self.index_name = 'contributions-table-index-'+self.name
 
         if self.depth is not None:
-            self.depth = min(self.depth, self.explainer.n_features())
+            self.depth = min(self.depth, self.explainer.n_features)
 
         if self.feature_input_component is not None:
             self.exclude_callbacks(self.feature_input_component)
@@ -1106,7 +1118,7 @@ def layout(self):
                                     target='contributions-table-depth-label-'+self.name),
                             dbc.Select(id='contributions-table-depth-'+self.name, 
                                 options = [{'label': str(i+1), 'value':i+1} 
-                                                for i in range(self.explainer.n_features())],
+                                                for i in range(self.explainer.n_features)],
                                 value=self.depth)
                         ], md=2), hide=self.hide_depth),
                     make_hideable(
diff --git a/explainerdashboard/dashboard_methods.py b/explainerdashboard/dashboard_methods.py
index a685ad8..d6b8da1 100644
--- a/explainerdashboard/dashboard_methods.py
+++ b/explainerdashboard/dashboard_methods.py
@@ -327,7 +327,9 @@ def calculate_dependencies(self):
         compute properties multiple times in parallel."""
         for dep in self.dependencies:
             try:
-                _ = getattr(self.explainer, dep)
+                attribute = getattr(self.explainer, dep)
+                if callable(attribute):
+                    _ = attribute()
             except:
                 ValueError(f"Failed to generate dependency '{dep}': "
                     "Failed to calculate or retrieve explainer property explainer.{dep}...")
diff --git a/explainerdashboard/explainer_methods.py b/explainerdashboard/explainer_methods.py
index 82bea83..9a91637 100644
--- a/explainerdashboard/explainer_methods.py
+++ b/explainerdashboard/explainer_methods.py
@@ -17,7 +17,7 @@
 
 from joblib import Parallel, delayed
 
-def safe_is_instance(obj, *instance_str):
+def safe_isinstance(obj, *instance_str):
     """Checks instance by comparing str(type(obj)) to one or more
     instance_str. """
     obj_str = str(type(obj))
@@ -1205,7 +1205,8 @@ def get_xgboost_path_df(xgbmodel, X_row, n_tree=None):
         xgbmodel_treedump = xgbmodel.get_booster().get_dump()[n_tree]
     else:
         raise ValueError("Couldn't extract a treedump. Please pass a fitted xgboost model.")
-        
+    if isinstance(X_row, pd.DataFrame) and len(X_row)==1:
+        X_row = X_row.squeeze()
     node_dict = get_xgboost_node_dict(xgbmodel_treedump)
     
     prediction_path_df = pd.DataFrame(columns = ['node', 'feature', 'cutoff', 'value'])
diff --git a/explainerdashboard/explainer_plots.py b/explainerdashboard/explainer_plots.py
index aeefc55..fa2e510 100644
--- a/explainerdashboard/explainer_plots.py
+++ b/explainerdashboard/explainer_plots.py
@@ -24,7 +24,7 @@
 
 import numpy as np
 import pandas as pd
-from pandas.api.types import is_numeric_dtype, is_string_dtype
+from pandas.api.types import is_numeric_dtype
 
 import plotly.graph_objs as go
 from plotly.subplots import make_subplots
@@ -33,7 +33,7 @@
                              precision_recall_curve, roc_curve, 
                              roc_auc_score, average_precision_score)
 
-from .explainer_methods import matching_cols
+from .explainer_methods import matching_cols, safe_isinstance
 
 
 def plotly_prediction_piechart(predictions_df, showlegend=True, size=250):
@@ -840,7 +840,7 @@ def plotly_dependence_plot(X_col, shap_values, interact_col=None,
 
 def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False, 
         interaction=False, units="", highlight_index=None, idxs=None,
-        cats_order=None):
+        cats_order=None, max_cat_colors=5):
     """Generates a violin plot for displaying shap value distributions for
     categorical features.
 
@@ -897,24 +897,27 @@ def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False,
     fig.update_yaxes(range=[shap_values.min()-0.1*shap_range, shap_values.max()+0.1*shap_range])  
     
     if X_color_col is not None:
-        color_cats = X_color_col.unique()
+        color_cats = list(X_color_col.value_counts().index[:max_cat_colors])
         n_color_cats = len(color_cats)
         colors = ['#636EFA', '#EF553B', '#00CC96', '#AB63FA', '#FFA15A', 
                     '#19D3F3', '#FF6692', '#B6E880', '#FF97FF', '#FECB52']
         colors = colors * (1+int(n_color_cats / len(colors)))
         colors = colors[:n_color_cats]
-        show_legend = set(color_cats)
+        show_legend = set(color_cats+["Category_Other"])
 
     for i, cat in enumerate(cats_order):
         col = 1+i*2 if points or X_color_col is not None else 1+i
+        if cat.startswith(X_col.name+"_"):
+            cat_name = cat[len(X_col.name)+1:]
+        else:
+            cat_name = cat
         fig.add_trace(go.Violin(
-                            x=X_col[X_col == cat],
+                            x=np.repeat(cat_name, len(X_col[X_col == cat])),
                             y=shap_values[X_col == cat],
-                            name=cat,
+                            name=cat_name,
                             box_visible=True,
                             meanline_visible=True,  
-                            showlegend=False,
-                               ),
+                            showlegend=False),
                      row=1, col=col)
         if X_color_col is not None:
             if is_numeric_dtype(X_color_col):
@@ -930,7 +933,7 @@ def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False,
                                                                         shap_values[X_col == cat], 
                                                                         X_color_col[X_col==cat])],
                                 marker=dict(size=7, 
-                                        opacity=0.6,
+                                        opacity=0.3,
                                         cmin=X_color_col.min(),
                                         cmax=X_color_col.max(),
                                         color=X_color_col[X_col==cat],
@@ -941,25 +944,48 @@ def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False,
                          row=1, col=col+1)
             else:
                 for color_cat, color in zip(color_cats, colors):
+                    if color_cat.startswith(X_color_col.name+"_"):
+                        color_cat_name = color_cat[len(X_color_col.name)+1:]
+                    else:
+                        color_cat_name = color_cat
+            
                     fig.add_trace(go.Scattergl(
                                     x=np.random.randn(((X_col == cat) & (X_color_col == color_cat)).sum()),
                                     y=shap_values[(X_col == cat) & (X_color_col == color_cat)],
-                                    name=color_cat,
+                                    name=color_cat_name,
                                     mode='markers',
                                     showlegend=color_cat in show_legend,
                                     hoverinfo="text",
-                                    text = [f"{idxs.name}: {index}<br>shap: {shap}<br>{X_color_col.name}: {col}" 
-                                                for index, shap, col in zip(
+                                    text = [f"{idxs.name}: {index}<br>shap: {shap}<br>{X_color_col.name}: {color_cat_name}" 
+                                                for index, shap in zip(
                                                                 idxs[(X_col == cat) & (X_color_col == color_cat)], 
-                                                                shap_values[(X_col == cat) & (X_color_col == color_cat)], 
-                                                                X_color_col[(X_col == cat) & (X_color_col == color_cat)])],
+                                                                shap_values[(X_col == cat) & (X_color_col == color_cat)])],
                                     marker=dict(size=7, 
-                                                opacity=0.8,
+                                                opacity=0.3,
                                                 color=color)           
                                     ),
                              row=1, col=col+1)
                     if color_cat in X_color_col[X_col==cat].unique():
                         show_legend = show_legend - {color_cat}
+                if X_color_col.nunique() > max_cat_colors:
+                    fig.add_trace(go.Scattergl(
+                                        x=np.random.randn(((X_col == cat) & (~X_color_col.isin(color_cats))).sum()),
+                                        y=shap_values[(X_col == cat) & (~X_color_col.isin(color_cats))],
+                                        name="Other",
+                                        mode='markers',
+                                        showlegend="Category_Other" in show_legend,
+                                        hoverinfo="text",
+                                        text = [f"{idxs.name}: {index}<br>shap: {shap}<br>{X_color_col.name}: {col}" 
+                                                    for index, shap, col in zip(
+                                                                    idxs[(X_col == cat) & (~X_color_col.isin(color_cats))], 
+                                                                    shap_values[(X_col == cat) & (~X_color_col.isin(color_cats))],
+                                                                    X_color_col[(X_col == cat) & (~X_color_col.isin(color_cats))])],
+                                        marker=dict(size=7, 
+                                                    opacity=0.3,
+                                                    color="grey")           
+                                        ),
+                                 row=1, col=col+1)
+                    show_legend = show_legend - {"Category_Other"}
                     
             showscale = False
         elif points:
@@ -1448,7 +1474,7 @@ def plotly_pr_auc_curve(true_y, pred_probas, cutoff=None):
 
 
 def plotly_shap_scatter_plot(X, shap_values_df, display_columns=None, title="Shap values", 
-                idxs=None, highlight_index=None, na_fill=-999, round=3, index_name="index"):
+                idxs=None, highlight_index=None, na_fill=-999, round=3, max_cat_colors=5):
     """Generate a shap values summary plot where features are ranked from
     highest mean absolute shap value to lowest, with point clouds shown
     for each feature. 
@@ -1481,6 +1507,7 @@ def plotly_shap_scatter_plot(X, shap_values_df, display_columns=None, title="Sha
         idxs = pd.Index(idxs).astype(str)
     else:
         idxs = X.index.astype(str)
+    index_name = idxs.name
         
     length = len(X)
     if highlight_index is not None:
@@ -1532,27 +1559,54 @@ def plotly_shap_scatter_plot(X, shap_values_df, display_columns=None, title="Sha
                             ),
                      row=i+1, col=1);
         else: 
-            # if str type then categorical variable, 
-            # so plot each category in a different color:
-            for onehot_col in X[col].unique().tolist():
+            color_cats = list(X[col].value_counts().index[:max_cat_colors])
+            n_color_cats = len(color_cats)
+            colors = ['#636EFA', '#EF553B', '#00CC96', '#AB63FA', '#FFA15A', 
+                        '#19D3F3', '#FF6692', '#B6E880', '#FF97FF', '#FECB52']
+            colors = colors * (1+int(n_color_cats / len(colors)))
+            colors = colors[:n_color_cats]
+            for cat, color in zip(color_cats, colors):
                 fig.add_trace(go.Scattergl(
-                                x=shap_values_df[X[col]==onehot_col][col],
-                                y=np.random.rand(len(shap_values_df[X[col]==onehot_col])),
+                                x=shap_values_df[col][X[col]==cat],
+                                y=np.random.rand((X[col]==cat).sum()),
                                 mode='markers',
                                 marker=dict(
                                       size=5,
                                       showscale=False,
                                       opacity=0.3,
+                                      color=color,
                                   ),
-                                name=onehot_col,
+                                name=cat,
                                 showlegend=False,
                                 opacity=0.8,
                                 hoverinfo="text",
-                                text=[f"{index_name}={i}<br>{col}={onehot_col}<br>shap={np.round(shap,3)}" 
-                                      for i, shap in zip(idxs[X[col]==onehot_col], shap_values_df[X[col]==onehot_col][col])],
+                                text=[f"{index_name}={i}<br>{col}={cat}<br>shap={np.round(shap,3)}" 
+                                      for i, shap in zip(idxs[X[col]==cat], 
+                                            shap_values_df[col][X[col]==cat])],
                                 ),
-                     row=i+1, col=1);
-
+                     row=i+1, col=1)
+            if X[col].nunique() > max_cat_colors:
+                fig.add_trace(go.Scattergl(
+                                x=shap_values_df[col][~X[col].isin(color_cats)],
+                                y=np.random.rand((~X[col].isin(color_cats)).sum()),
+                                mode='markers',
+                                marker=dict(
+                                      size=5,
+                                      showscale=False,
+                                      opacity=0.3,
+                                      color="grey",
+                                  ),
+                                name="Other",
+                                showlegend=False,
+                                opacity=0.8,
+                                hoverinfo="text",
+                                text=[f"{index_name}={i}<br>{col}={col_val}<br>shap={np.round(shap,3)}" 
+                                      for i, shap, col_val in zip(idxs[~X[col].isin(color_cats)], 
+                                                              shap_values_df[col][~X[col].isin(color_cats)],
+                                                              X[col][~X[col].isin(color_cats)])],
+                                ),
+                     row=i+1, col=1)
+                
         if highlight_index is not None:
             fig.add_trace(
             go.Scattergl(
@@ -1812,7 +1866,7 @@ def plotly_residuals_vs_col(y, preds, col, col_name=None, residuals='difference'
                                                     np.round(preds, round), 
                                                     np.round(res, round))] 
     
-    if is_string_dtype(col):
+    if not is_numeric_dtype(col):
         n_cats = col.nunique()
         
         if points:
@@ -1941,7 +1995,7 @@ def plotly_actual_vs_col(y, preds, col, col_name=None,
                                                     np.round(y, round), 
                                                     np.round(preds, round))] 
     
-    if is_string_dtype(col):
+    if not is_numeric_dtype(col):
         n_cats = col.nunique()
         
         if points:
@@ -2062,7 +2116,7 @@ def plotly_preds_vs_col(y, preds, col, col_name=None,
     preds_text=[f"{index_name}: {idx}<br>Predicted {target}: {pred}{units}<br>Observed {target}: {actual}{units}" 
                   for idx, actual, pred in zip(idxs,np.round(y, round), np.round(preds, round))] 
     
-    if is_string_dtype(col):
+    if not is_numeric_dtype(col):
         n_cats = col.nunique()
         
         if points:
@@ -2160,8 +2214,7 @@ def plotly_rf_trees(model, observation, y=None, highlight_tree=None,
     Returns:
         Plotly fig
     """
-    assert (str(type(model)).endswith("RandomForestClassifier'>") 
-            or str(type(model)).endswith("RandomForestRegressor'>")), \
+    assert safe_isinstance(model, "RandomForestClassifier", "RandomForestRegressor"), \
         f"model is of type {type(model)}, but should be either RandomForestClassifier or RandomForestRegressor"
     
     colors = ['blue'] * len(model.estimators_) 
@@ -2170,8 +2223,7 @@ def plotly_rf_trees(model, observation, y=None, highlight_tree=None,
             f"{highlight_tree} is out of range (0, {len(model.estimators_)})"
         colors[highlight_tree] = 'red'
         
-    if (hasattr(model.estimators_[0], "classes_") 
-        and model.estimators_[0].classes_[0] is not None): #if classifier
+    if safe_isinstance(model, "RandomForestClassifier"):
         preds_df = (
             pd.DataFrame({
                 'model' : range(len(model.estimators_)), 
diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index 52d3053..0bec93c 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -11,6 +11,8 @@
             'RandomForestRegressionBunch', # deprecated
             ]
 
+import sys
+import inspect
 from abc import ABC
 import base64
 from pathlib import Path
@@ -37,6 +39,28 @@
 import plotly.io as pio
 pio.templates.default = "none"
 
+def insert_pos_label(func):
+    """decorator to insert pos_label=self.pos_label into method call when pos_label=None"""
+    def inner(self, *args, **kwargs):
+        if 'pos_label' in kwargs:
+            if kwargs['pos_label'] is not None:
+                return func(self, *args, **kwargs)
+            else:   
+                kwargs.update(dict(pos_label=self.pos_label))
+                return func(self, *args, **kwargs)
+        argspec = inspect.getfullargspec(func).args 
+        assert 'pos_label' in argspec, \
+            f"Method {func} does not take pos_label as a parameter!"
+        index = argspec.index('pos_label')
+        kwargs = kwargs or {}
+        if len(args) < index or args[index-1] is None:
+            kwargs.update(dict(zip(argspec[1:], args)))
+            kwargs.update(dict(pos_label=self.pos_label))
+            return func(self, **kwargs)
+        else:
+            return func(self, *args, **kwargs) 
+    return inner
+
 class BaseExplainer(ABC):
     """ """
     def __init__(self, model, X, y=None, permutation_metric=r2_score, 
@@ -44,7 +68,7 @@ def __init__(self, model, X, y=None, permutation_metric=r2_score,
                     cats=None, idxs=None, index_name=None, target=None,
                     descriptions=None, 
                     n_jobs=None, permutation_cv=None, na_fill=-999,
-                    precision="float32"):
+                    precision="float64"):
         """Defines the basic functionality that is shared by both
         ClassifierExplainer and RegressionExplainer. 
 
@@ -83,7 +107,7 @@ def __init__(self, model, X, y=None, permutation_metric=r2_score,
                 This is for calculating permutation importances against
                 X_train. Defaults to None
             na_fill (int): The filler used for missing values, defaults to -999.
-            precision: precision with which to store values. Defaults to np.float32.
+            precision: precision with which to store values. Defaults to "float64".
         """
         self._params_dict = dict(
             shap=shap, model_output=model_output, cats=cats, 
@@ -97,13 +121,13 @@ def __init__(self, model, X, y=None, permutation_metric=r2_score,
             self.X, self.X_background = X, X_background
             self.model = model
 
-        if safe_is_instance(model, "xgboost.core.Booster"):
+        if safe_isinstance(model, "xgboost.core.Booster"):
             raise ValueError("For xgboost models, currently only the scikit-learn "
                 "compatible wrappers xgboost.sklearn.XGBClassifier and "
                 "xgboost.sklearn.XGBRegressor are supported, so please use those "
                 "instead of xgboost.Booster!")
 
-        if safe_is_instance(model, "lightgbm.Booster"):
+        if safe_isinstance(model, "lightgbm.Booster"):
             raise ValueError("For lightgbm, currently only the scikit-learn "
                 "compatible wrappers lightgbm.LGBMClassifier and lightgbm.LGBMRegressor "
                 "are supported, so please use those instead of lightgbm.Booster!")
@@ -116,6 +140,9 @@ def __init__(self, model, X, y=None, permutation_metric=r2_score,
         self.original_cols = self.X.columns
         self.merged_cols = pd.Index(self.regular_cols + self.onehot_cols)
 
+        if self.encoded_cols:
+            self.X[self.encoded_cols] = self.X[self.encoded_cols].astype(np.int8)
+
         if self.categorical_cols:
             for col in self.categorical_cols:
                 self.X[col] = self.X[col].astype("category")
@@ -160,11 +187,15 @@ def __init__(self, model, X, y=None, permutation_metric=r2_score,
             assert len(idxs) == len(self.X) == len(self.y), \
                 ("idxs should be same length as X but is not: "
                 f"len(idxs)={len(idxs)} but  len(X)={len(self.X)}!")
-            self.idxs = pd.Index(idxs, dtype=str)
+            self.idxs = pd.Index(idxs).astype(str)
         else:
             self.idxs = X.index.astype(str)
-        self.X.index = self.idxs
-        self.y.index = self.idxs
+        self.X.reset_index(drop=True, inplace=True)
+        self.y.reset_index(drop=True, inplace=True)
+
+        self._get_index_list_func = None
+        self._get_X_row_func = None
+        self._get_y_func = None
 
         if index_name is None:
             if self.idxs.name is not None:
@@ -172,6 +203,7 @@ def __init__(self, model, X, y=None, permutation_metric=r2_score,
             else:
                 self.index_name = "Index"
         else:
+            self.idxs.name = index_name.capitalize()
             self.index_name = index_name.capitalize()
 
         self.descriptions = {} if descriptions is None else descriptions
@@ -185,7 +217,7 @@ def __init__(self, model, X, y=None, permutation_metric=r2_score,
         self.units = ""
         self.is_classifier = False
         self.is_regression = False
-        if safe_is_instance(self.model, "CatBoostRegressor", "CatBoostClassifier"):
+        if safe_isinstance(self.model, "CatBoostRegressor", "CatBoostClassifier"):
             self.interactions_should_work = False
         if not hasattr(self, "interactions_should_work"):
             self.interactions_should_work = True
@@ -408,8 +440,8 @@ def random_index(self, y_min=None, y_max=None, pred_min=None, pred_max=None,
         else:
             return None
         if return_str:
-            return idx
-        return idxs.get_loc(idx)
+            return self.idxs[idx]
+        return idx
 
     @property
     def preds(self):
@@ -419,8 +451,7 @@ def preds(self):
             self._preds = self.model.predict(self.X).astype(self.precision)
         return self._preds
     
-    @property
-    def pred_percentiles(self):
+    def pred_percentiles(self, pos_label=None):
         """returns percentile rank of model predictions"""
         if not hasattr(self, '_pred_percentiles'):
             print("Calculating prediction percentiles...", flush=True)
@@ -428,7 +459,7 @@ def pred_percentiles(self):
                                 .rank(method='min')
                                 .divide(len(self.preds))
                                 .values).astype(self.precision)
-        return make_callable(self._pred_percentiles)
+        return self._pred_percentiles
 
     def columns_ranked_by_shap(self, pos_label=None):
         """returns the columns of X, ranked by mean abs shap value
@@ -443,15 +474,12 @@ def columns_ranked_by_shap(self, pos_label=None):
         """
         return self.mean_abs_shap_df(pos_label).Feature.tolist()
 
-    def n_features(self, cats=False):
-        """number of features with cats=True or cats=False
-
-        Args:
-          cats:  (Default value = False)
-
+    @property
+    def n_features(self):
+        """number of features 
+        
         Returns:
             int, number of features
-
         """
         return len(self.merged_cols)
 
@@ -501,14 +529,47 @@ def ordered_cats(self, col, topx=None, sort='alphabet', pos_label=None):
             raise ValueError(f"sort='{sort}', but should be in {{'alphabet', 'freq', 'shap'}}")
 
     def get_index_list(self):
-        return list(self.idxs)
+        if self._get_index_list_func is not None:
+            index_list = self._get_index_list_func()
+        else:
+            index_list = list(self.idxs)
+        if not isinstance(index_list, list):
+            raise ValueError("self._get_index_list_func() should return a list! "
+                        f"Instead returned {index_list}")
+        return index_list
+
+    def set_index_list_func(self, func):
+        self._get_index_list_func = func
 
     def get_X_row(self, index, merge=False):
-        X_row = self.X.iloc[[self.get_idx(index)]]
+        if self._get_X_row_func is not None:
+            X_row = self._get_X_row_func(index)
+        else:
+            X_row = self.X.iloc[[self.get_idx(index)]]
+
+        if not matching_cols(X_row.columns, self.columns):
+            raise ValueError(f"columns do not match! Got {X_row.columns}, but was"
+                    f"expecting {self.columns}")
         if merge:
             X_row = merge_categorical_columns(X_row, self.onehot_dict)[self.merged_cols]
         return X_row
 
+    def set_X_row_func(self, func):
+        self._get_X_row_func = func
+
+    def get_y(self, index):
+        if self._get_y_func is not None:
+            y = self._get_y_func(index)
+        else:
+            if self.y_missing:
+                y = None
+            else:
+                y = self.y.iloc[self.get_idx(index)]
+        return y
+
+    def set_y_func(self, func):
+        self._get_y_func = func
+
     def get_row_from_input(self, inputs:List, ranked_by_shap=False, return_merged=False):
         """returns a single row pd.DataFrame from a given list of *inputs"""
         if len(inputs)==1 and isinstance(inputs[0], list):
@@ -628,8 +689,7 @@ def get_col_value_plus_prediction(self, col, index=None, X_row=None, pos_label=N
             raise ValueError("You need to pass either index or X_row!")
 
 
-    @property
-    def permutation_importances(self):
+    def permutation_importances(self, pos_label=None):
         """Permutation importances """
         if not hasattr(self, '_perm_imps'):
             print("Calculating importances...", flush=True)
@@ -640,7 +700,7 @@ def permutation_importances(self):
                                 n_jobs=self.n_jobs,
                                 needs_proba=self.is_classifier)
                                 .sort_values("Importance", ascending=False))
-            self._perm_imps = make_callable(self._perm_imps)                 
+            self._perm_imps = self._perm_imps                 
         return self._perm_imps
 
     @property
@@ -648,15 +708,13 @@ def X_cats(self):
         """X with categorical variables grouped together"""
         if not hasattr(self, '_X_cats'):
             self._X_cats = merge_categorical_columns(self.X, self.onehot_dict, drop_regular=True)
-            self._X_cats = self._X_cats.set_index(self.X.index)
         return self._X_cats
 
     @property
     def X_merged(self):
         return self.X.merge(self.X_cats, left_index=True, right_index=True)[self.merged_cols]
 
-    @property
-    def shap_base_value(self):
+    def shap_base_value(self, pos_label=None):
         """the intercept for the shap values.
         
         (i.e. 'what would the prediction be if we knew none of the features?')
@@ -669,22 +727,19 @@ def shap_base_value(self):
             if isinstance(self._shap_base_value, np.ndarray):
                 # shap library now returns an array instead of float
                 self._shap_base_value = self._shap_base_value.item()
-        return make_callable(self._shap_base_value)
+        return self._shap_base_value
 
-    @property
-    def shap_values_df(self):
+    def shap_values_df(self, pos_label=None):
         """SHAP values calculated using the shap library"""
         if not hasattr(self, '_shap_values_df'):
             print("Calculating shap values...", flush=True)
             self._shap_values_df = pd.DataFrame(self.shap_explainer.shap_values(self.X), 
-                                    columns=self.columns, index=self.X.index)
+                                    columns=self.columns)
             self._shap_values_df = merge_categorical_shap_values(
                     self._shap_values_df, self.onehot_dict, self.merged_cols).astype(self.precision)
-            self._shap_values_df = make_callable(self._shap_values_df)
         return self._shap_values_df
     
-    @property
-    def shap_interaction_values(self):
+    def shap_interaction_values(self, pos_label=None):
         """SHAP interaction values calculated using shap library"""
         assert self.shap != 'linear', \
             "Unfortunately shap.LinearExplainer does not provide " \
@@ -701,20 +756,17 @@ def shap_interaction_values(self):
                 self.shap_explainer.shap_interaction_values(self.X)
             self._shap_interaction_values = \
                 merge_categorical_shap_interaction_values(
-                    self.shap_interaction_values, self.columns, self.merged_cols, 
+                    self._shap_interaction_values, self.columns, self.merged_cols, 
                     self.onehot_dict).astype(self.precision)
-            self._shap_interaction_values = make_callable(self._shap_interaction_values) 
         return self._shap_interaction_values
 
-    @property
-    def mean_abs_shap_df(self):
+    def mean_abs_shap_df(self, pos_label=None):
         """Mean absolute SHAP values per feature."""
         if not hasattr(self, '_mean_abs_shap'):
-            self._mean_abs_shap_df = (self.shap_values_df[self.merged_cols].abs().mean()
+            self._mean_abs_shap_df = (self.shap_values_df(pos_label)[self.merged_cols].abs().mean()
                     .sort_values(ascending=False)
                     .to_frame().rename_axis(index="Feature").reset_index()
                     .rename(columns={0:"MEAN_ABS_SHAP"}))
-            self._mean_abs_shap_df = make_callable(self._mean_abs_shap_df)
         return self._mean_abs_shap_df
 
 
@@ -741,6 +793,49 @@ def calculate_properties(self, include_interactions=True):
         if self.interactions_should_work and include_interactions:
             _ = self.shap_interaction_values
 
+    def memory_usage(self, cutoff=0):
+        """returns a pd.DataFrame witht the memory usage of each attribute of
+        this explainer object"""
+        def get_size(obj):
+            def get_inner_size(obj):
+                if isinstance(obj, pd.DataFrame):
+                    return obj.memory_usage().sum()
+                elif isinstance(obj, pd.Series):
+                    return obj.memory_usage()
+                elif isinstance(obj, pd.Index):
+                    return obj.memory_usage()
+                elif isinstance(obj, np.ndarray):
+                    return obj.nbytes
+                else:
+                    return sys.getsizeof(obj)
+
+            if isinstance(obj, list):
+                return sum([get_inner_size(o) for o in obj])
+            elif isinstance(obj, dict):
+                return sum([get_inner_size(o) for o in obj.values()])
+            else:
+                return get_inner_size(obj)
+
+        def size_to_string(num, suffix='B'):
+            for unit in ['','Ki','Mi','Gi','Ti','Pi','Ei','Zi']:
+                if np.abs(num) < 1024.0:
+                    return "%3.1f%s%s" % (num, unit, suffix)
+                num /= 1024.0
+            return "%.1f%s%s" % (num, 'Yi', suffix)
+
+        memory_df = pd.DataFrame(columns=['property', 'type', 'bytes', 'size'])
+        for k, v in self.__dict__.items():
+            memory_df = memory_df.append(dict(
+                property=f"self.{k}", type=v.__class__.__name__, 
+                bytes=get_size(v), size=size_to_string(get_size(v))), 
+                ignore_index=True)
+        
+        print("Explainer total memory usage (approximate): ", 
+                    size_to_string(memory_df.bytes.sum()), flush=True)
+        return (memory_df[memory_df.bytes>cutoff]
+                    .sort_values("bytes", ascending=False)
+                    .reset_index(drop=True))
+
     def metrics(self, *args, **kwargs):
         """returns a dict of metrics.
         
@@ -1163,7 +1258,7 @@ def plot_shap_contributions(self, index=None, X_row=None, topx=None, cutoff=None
                     orientation=orientation, round=round, higher_is_better=higher_is_better,
                     target=self.target, units=self.units)
 
-    def plot_shap_summary(self, index=None, topx=None, pos_label=None):
+    def plot_shap_summary(self, index=None, topx=None, max_cat_colors=5, pos_label=None):
         """Plot barchart of mean absolute shap value.
         
         Displays all individual shap value for each feature in a horizontal
@@ -1171,7 +1266,10 @@ def plot_shap_summary(self, index=None, topx=None, pos_label=None):
 
         Args:
           index (str or int): index to highlight
-          topx(int, optional): Only display topx most important features, defaults to None
+          topx(int, optional): Only display topx most important features, 
+            defaults to None
+          max_cat_colors (int, optional): for categorical features, maximum number
+            of categories to label with own color. Defaults to 5. 
           pos_label: positive class (Default value = None)
 
         Returns:
@@ -1202,13 +1300,14 @@ def plot_shap_summary(self, index=None, topx=None, pos_label=None):
                                 self.X_merged[cols],
                                 self.shap_values_df(pos_label)[cols],
                                 cols, 
-                                idxs=self.idxs.values,
+                                idxs=self.idxs,
                                 highlight_index=index,
                                 title=title,
                                 na_fill=self.na_fill,
-                                index_name=self.index_name)
+                                max_cat_colors=max_cat_colors)
 
-    def plot_shap_interaction_summary(self, col, index=None, topx=None,  pos_label=None):
+    def plot_shap_interaction_summary(self, col, index=None, topx=None, 
+                                        max_cat_colors=5, pos_label=None):
         """Plot barchart of mean absolute shap interaction values
         
         Displays all individual shap interaction values for each feature in a
@@ -1218,28 +1317,26 @@ def plot_shap_interaction_summary(self, col, index=None, topx=None,  pos_label=N
           col(type]): feature for which to show interactions summary
           index (str or int): index to highlight
           topx(int, optional): only show topx most important features, defaults to None
-          cats:  group categorical features (Default value = False)
+          max_cat_colors (int, optional): for categorical features, maximum number
+            of categories to label with own color. Defaults to 5. 
           pos_label: positive class (Default value = None)
 
         Returns:
           fig
         """
         interact_cols = self.top_shap_interactions(col, pos_label=pos_label)
-
         shap_df = pd.DataFrame(self.shap_interaction_values_for_col(col, pos_label=pos_label),
-                            columns=self.merged_cols, index=self.idxs)
-                            
-                            
+                            columns=self.merged_cols)                            
         if topx is None: topx = len(interact_cols)
         title = f"Shap interaction values for {col}"
-
         return plotly_shap_scatter_plot(
                 self.X_merged, shap_df, interact_cols[:topx], title=title, 
                 idxs=self.idxs, highlight_index=index, na_fill=self.na_fill,
-                index_name=self.index_name)
+                max_cat_colors=max_cat_colors)
 
     def plot_shap_dependence(self, col, color_col=None, highlight_index=None, 
-                                topx=None, sort='alphabet', pos_label=None):
+                                topx=None, sort='alphabet', max_cat_colors=5, 
+                                pos_label=None):
         """plot shap dependence
         
         Plots a shap dependence plot:
@@ -1257,6 +1354,8 @@ def plot_shap_dependence(self, col, color_col=None, highlight_index=None,
           sort (str): for categorical features, how to sort the categories:
                 alphabetically 'alphabet', most frequent first 'freq', 
                 highest mean absolute value first 'shap'. Defaults to 'alphabet'.
+          max_cat_colors (int, optional): for categorical features, maximum number
+                of categories to label with own color. Defaults to 5. 
           pos_label: positive class (Default value = None)
 
         Returns:
@@ -1274,7 +1373,8 @@ def plot_shap_dependence(self, col, color_col=None, highlight_index=None,
                             X_color_col, 
                             highlight_index=highlight_index,
                             idxs=self.idxs,
-                            cats_order=self.ordered_cats(col, topx, sort))
+                            cats_order=self.ordered_cats(col, topx, sort),
+                            max_cat_colors=max_cat_colors)
         else:
             return plotly_dependence_plot(
                         self.get_col(col), 
@@ -1286,13 +1386,19 @@ def plot_shap_dependence(self, col, color_col=None, highlight_index=None,
                         idxs=self.idxs)
 
     def plot_shap_interaction(self, col, interact_col, highlight_index=None, 
-                                topx=10, sort='alphabet', pos_label=None):
+                                topx=10, sort='alphabet', max_cat_colors=5, 
+                                pos_label=None):
         """plots a dependence plot for shap interaction effects
 
         Args:
           col(str): feature for which to find interaction values
           interact_col(str): feature for which interaction value are displayed
-          highlight_idx(int, optional, optional): idx that will be highlighted, defaults to None
+          highlight_index(str, optional): index that will be highlighted, defaults to None
+          topx (int, optional): number of categorical features to display in violin plots.
+          sort (str, optional): how to sort categorical features in violin plots.
+                Should be in {'alphabet', 'freq', 'shap'}.
+          max_cat_colors (int, optional): for categorical features, maximum number
+                of categories to label with own color. Defaults to 5. 
           pos_label:  (Default value = None)
 
         Returns:
@@ -1307,7 +1413,8 @@ def plot_shap_interaction(self, col, interact_col, highlight_index=None,
                 self.get_col(interact_col), 
                 interaction=True, units=self.units, 
                 highlight_index=highlight_index, idxs=self.idxs,
-                cats_order=self.ordered_cats(col, topx, sort))
+                cats_order=self.ordered_cats(col, topx, sort),
+                max_cat_colors=max_cat_colors)
         else:
             return plotly_dependence_plot(
                 self.get_col(col),
@@ -1445,7 +1552,7 @@ def shap_explainer(self):
         if not hasattr(self, '_shap_explainer'):
             model_str = str(type(self.model)).replace("'", "").replace("<", "").replace(">", "").split(".")[-1]
             if self.shap == 'tree':
-                if safe_is_instance(self.model, 
+                if safe_isinstance(self.model, 
                     "XGBClassifier", "LGBMClassifier", "CatBoostClassifier", 
                     "GradientBoostingClassifier", "HistGradientBoostingClassifier"):
                     if self.model_output == "probability": 
@@ -2223,10 +2330,10 @@ def __init__(self, model,  X, y=None, permutation_metric=r2_score,
         self.units = units
         self.is_regression = True
 
-        if safe_is_instance("RandomForestRegressor"):
+        if safe_isinstance(model, "RandomForestRegressor"):
             print(f"Changing class type to RandomForestRegressionExplainer...", flush=True)
             self.__class__ = RandomForestRegressionExplainer 
-        if safe_is_instance("XGBRegressor"):
+        if safe_isinstance(model, "XGBRegressor"):
             print(f"Changing class type to XGBRegressionExplainer...", flush=True)
             self.__class__ = XGBRegressionExplainer
 
@@ -2574,6 +2681,7 @@ def decision_trees(self):
                             for decision_tree in self.model.estimators_]
         return self._decision_trees
 
+    @insert_pos_label
     def decisiontree_df(self, tree_idx, index, pos_label=None):
         """dataframe with all decision nodes of a particular decision tree
 
@@ -2589,17 +2697,14 @@ def decisiontree_df(self, tree_idx, index, pos_label=None):
         """
         assert tree_idx >= 0 and tree_idx < len(self.decision_trees), \
             f"tree index {tree_idx} outside 0 and number of trees ({len(self.decision_trees)}) range"
-        idx = self.get_int_idx(index)
-        assert idx >= 0 and idx < len(self.X), \
-            f"=index {idx} outside 0 and size of X ({len(self.X)}) range"
-        
+        X_row = self.get_X_row(index)
         if self.is_classifier:
-            if pos_label is None: pos_label = self.pos_label
-            return get_decisiontree_df(self.decision_trees[tree_idx], self.X.iloc[idx],
+            return get_decisiontree_df(self.decision_trees[tree_idx], X_row.squeeze(),
                     pos_label=pos_label)
         else:
-            return get_decisiontree_df(self.decision_trees[tree_idx], self.X.iloc[idx])
+            return get_decisiontree_df(self.decision_trees[tree_idx], X_row.squeeze())
 
+    @insert_pos_label
     def decisiontree_summary_df(self, tree_idx, index, round=2, pos_label=None):
         """formats decisiontree_df in a slightly more human readable format.
 
@@ -2613,8 +2718,7 @@ def decisiontree_summary_df(self, tree_idx, index, round=2, pos_label=None):
           dataframe with summary of the decision tree path
 
         """
-        idx=self.get_int_idx(index)
-        return get_decisiontree_summary_df(self.decisiontree_df(tree_idx, idx, pos_label=pos_label),
+        return get_decisiontree_summary_df(self.decisiontree_df(tree_idx, index, pos_label=pos_label),
                     classifier=self.is_classifier, round=round, units=self.units)
 
     def decision_path_file(self, tree_idx, index, show_just_path=False):
@@ -2634,9 +2738,8 @@ def decision_path_file(self, tree_idx, index, show_just_path=False):
             print("No graphviz 'dot' executable available!") 
             return None
 
-        idx = self.get_int_idx(index)
         viz = dtreeviz(self.decision_trees[tree_idx], 
-                        X=self.X.iloc[idx, :], 
+                        X=self.get_X_row(index).squeeze(), 
                         fancy=False,
                         show_node_labels = False,
                         show_just_path=show_just_path) 
@@ -2686,7 +2789,7 @@ def decision_path_encoded(self, tree_idx, index, show_just_path=False):
         svg_encoded = 'data:image/svg+xml;base64,{}'.format(encoded.decode()) 
         return svg_encoded
 
-
+    @insert_pos_label
     def plot_trees(self, index, highlight_tree=None, round=2, 
                 higher_is_better=True, pos_label=None):
         """plot barchart predictions of each individual prediction tree
@@ -2702,22 +2805,19 @@ def plot_trees(self, index, highlight_tree=None, round=2,
         Returns:
 
         """
-        idx=self.get_int_idx(index)
-        assert idx is not None, 'invalid index'
+        
+        X_row = self.get_X_row(index)
+        y = self.get_y(index)
         
         if self.is_classifier:
-            if pos_label is None: pos_label = self.pos_label
-            if not np.isnan(self.y[idx]):
-                y = 100*self.y_binary(pos_label)[idx] 
-            else:
-                y = None
-
-            return plotly_rf_trees(self.model, self.X.iloc[[idx]], y,
+            pos_label = self.get_pos_label_index(pos_label)
+            if y is not None:
+                y = 100 * int(y==pos_label)
+            return plotly_rf_trees(self.model, X_row, y,
                         highlight_tree=highlight_tree, round=round, 
                         pos_label=pos_label, target=self.target)
         else:
-            y = self.y[idx]
-            return plotly_rf_trees(self.model, self.X.iloc[[idx]], y,
+            return plotly_rf_trees(self.model, X_row, y,
                         highlight_tree=highlight_tree, round=round, 
                         target=self.target, units=self.units)
 
@@ -2797,6 +2897,7 @@ def decision_trees(self):
                             for i in range(len(self.model_dump_list))]
         return self._decision_trees
 
+    @insert_pos_label
     def decisiontree_df(self, tree_idx, index, pos_label=None):
         """dataframe with all decision nodes of a particular decision tree
 
@@ -2812,16 +2913,11 @@ def decisiontree_df(self, tree_idx, index, pos_label=None):
         """
         assert tree_idx >= 0 and tree_idx < self.no_of_trees, \
             f"tree index {tree_idx} outside 0 and number of trees ({len(self.decision_trees)}) range"
-        idx = self.get_int_idx(index)
-        assert idx >= 0 and idx < len(self.X), \
-            f"=index {idx} outside 0 and size of X ({len(self.X)}) range"
         
         if self.is_classifier:
-            if pos_label is None: 
-                pos_label = self.pos_label
             if len(self.labels) > 2:
                 tree_idx = tree_idx * len(self.labels) + pos_label
-        return get_xgboost_path_df(self.model_dump_list[tree_idx], self.X.iloc[idx])
+        return get_xgboost_path_df(self.model_dump_list[tree_idx], self.get_X_row(index))
 
 
     def decisiontree_summary_df(self, tree_idx, index, round=2, pos_label=None):
@@ -2837,9 +2933,7 @@ def decisiontree_summary_df(self, tree_idx, index, round=2, pos_label=None):
           dataframe with summary of the decision tree path
 
         """
-        idx = self.get_int_idx(index)
-        return get_xgboost_path_summary_df(self.decisiontree_df(tree_idx, idx, pos_label=pos_label))
-
+        return get_xgboost_path_summary_df(self.decisiontree_df(tree_idx, index, pos_label=pos_label))
 
     def decision_path_file(self, tree_idx, index, show_just_path=False, pos_label=None):
         """get a dtreeviz visualization of a particular tree in the random forest.
@@ -2859,15 +2953,12 @@ def decision_path_file(self, tree_idx, index, show_just_path=False, pos_label=No
             print("No graphviz 'dot' executable available!") 
             return None
 
-        idx = self.get_int_idx(index)
         if self.is_classifier:
-            if pos_label is None: 
-                pos_label = self.pos_label
             if len(self.labels) > 2:
                 tree_idx = tree_idx * len(self.labels) + pos_label
 
         viz = dtreeviz(self.decision_trees[tree_idx], 
-                        X=self.X.iloc[idx], 
+                        X=self.get_X_row(index).squeeze(), 
                         fancy=False,
                         show_node_labels = False,
                         show_just_path=show_just_path) 
@@ -2917,7 +3008,6 @@ def decision_path_encoded(self, tree_idx, index, show_just_path=False, pos_label
         svg_encoded = 'data:image/svg+xml;base64,{}'.format(encoded.decode()) 
         return svg_encoded
 
-
     def plot_trees(self, index, highlight_tree=None, round=2, 
                 higher_is_better=True, pos_label=None):
         """plot barchart predictions of each individual prediction tree
@@ -2933,23 +3023,21 @@ def plot_trees(self, index, highlight_tree=None, round=2,
         Returns:
 
         """
-        idx=self.get_int_idx(index)
-        assert idx is not None, 'invalid index'
         if self.is_classifier:
-            if pos_label is None: 
-                pos_label = self.pos_label
-            y = self.y_binary(pos_label)[idx]
+            pos_label = self.get_pos_label_index(pos_label)
+
+            y = 100 * int(self.get_y(index) == pos_label)
             xgboost_preds_df = get_xgboost_preds_df(
-                self.model, self.X.iloc[[idx]], pos_label=pos_label)
+                self.model, self.get_X_Row(index), pos_label=pos_label)
             return plotly_xgboost_trees(xgboost_preds_df, 
                             y=y, 
                             highlight_tree=highlight_tree, 
                             target=self.target, 
                             higher_is_better=higher_is_better)
         else:
-            y = self.y[idx]
-            xgboost_preds_df = get_xgboost_preds_df(
-                self.model, self.X.iloc[[idx]])
+            X_row = self.get_X_row(index)
+            y = self.model.predict(X_row)
+            xgboost_preds_df = get_xgboost_preds_df(self.model, X_row)
             return plotly_xgboost_trees(xgboost_preds_df, 
                             y=y, highlight_tree=highlight_tree,
                             target=self.target, units=self.units,

From 43211438370ad19fd8e2f1901267cc9ecf5883cb Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Tue, 19 Jan 2021 16:49:24 +0100
Subject: [PATCH 04/28] reorganizes TreeExplainers

---
 .vscode/settings.json | 20 --------------------
 1 file changed, 20 deletions(-)
 delete mode 100644 .vscode/settings.json

diff --git a/.vscode/settings.json b/.vscode/settings.json
deleted file mode 100644
index 27beb2d..0000000
--- a/.vscode/settings.json
+++ /dev/null
@@ -1,20 +0,0 @@
-{
-    "python.pythonPath": "/Users/oege/projects/explainerdashboard/venv/bin/python3",
-    "python.testing.unittestArgs": [
-        "-v",
-        "-s",
-        "./tests",
-        "-p",
-        "test*.py"
-    ],
-    "python.testing.pytestEnabled": true,
-    "python.testing.nosetestsEnabled": false,
-    "python.testing.unittestEnabled": false,
-    "python.linting.pylintEnabled": false,
-    "python.linting.flake8Enabled": true,
-    "python.linting.enabled": true,
-    "restructuredtext.confPath": "${workspaceFolder}\\docs\\source",
-    "python.testing.pytestArgs": [
-        "tests"
-    ]
-}
\ No newline at end of file

From adbb2983ca23dd167999afc5f6cbdeb8cdb18e18 Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Tue, 19 Jan 2021 16:49:34 +0100
Subject: [PATCH 05/28] reorganizes TreeExplainers

---
 RELEASE_NOTES.md                              |  35 +-
 .../decisiontree_components.py                |  10 +-
 .../regression_components.py                  |  84 +++--
 .../dashboard_components/shap_components.py   |  10 +-
 explainerdashboard/explainer_methods.py       |   2 +-
 explainerdashboard/explainer_plots.py         |  46 ++-
 explainerdashboard/explainers.py              | 322 ++++++++----------
 7 files changed, 269 insertions(+), 240 deletions(-)

diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index 9c5cd1c..11ff8ff 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -4,20 +4,45 @@
 ## 0.3.0:
 
 ### Breaking Changes
-- 
-- 
+- onehot encoded features are now merged by default. This means that the `cats=True`
+    parameter has been removed from all explainer methods, and the `group cats` 
+    toggle has been removed from all `ExplainerComponents`. This saves both
+    on code complexity and memory usage. If you wish to see the see the individual
+    contributions of onehot encoded columns, simply don't pass them to the 
+    `cats` parameter on construction.
+- Naming changes:
+    -`TreeExplainers`:
+        - `self.decision_trees` -> `self.shadow_trees`
+        - `self.decisiontree_df` -> `self.decisionpath_df`
+        - `self.decisiontree_summary_df` -> `self.decisionpath_summary_df`
+        - `self.decision_path_file` -> `self.decision_tree_file`
+        - `self.decision_path` -> `self.decision_tree`
+        - `self.decision_path_encoded` -> `self.decision_tree_encoded`
 
 ### New Features
-- new `memory_usage()` method
+- new `Explainer` parameter `precision`: defaults to `'float64'`. Can be set to
+    `'float32'` to save on memory usage.
+- new `memory_usage()` method to show which internal attributes take the most memory.
+- added `get_index_list()`, `get_X_row(index)`, and `get_y(index)` methods.
+    - these can be overridden with `.set_index_list_func()`, `.set_X_row_func()`
+        and `.set_y_func()`.
+    - by overriding these functions you can sample observations from a database
+        or other storage.
 - added `max_cat_colors` parameters to `plot_shap_summary` and `plot_shap_dependence` and `plot_shap_interaction`
+    - defaults to 5
+    - can be set as `**kwarg` to `ExplainerDashboard`
+- adds category limits and sorting to `RegressionVsCol` component
 
 ### Bug Fixes
 -
 -
 
 ### Improvements
-- encoding onehot columns with np.int8
-- adds
+- encoding onehot columns as `np.int8` saving memory usage
+- encoding categorical features as `pd.category` saving memory usage
+- added base TreeExplainer class that RandomForestExplainer and XGBExplainer both derive from
+    - will make it easier to extend tree explainers to other models in the future
+        - e.g. catboost and lightgbm
 
 ### Other Changes
 -
diff --git a/explainerdashboard/dashboard_components/decisiontree_components.py b/explainerdashboard/dashboard_components/decisiontree_components.py
index 12b2f48..a993c83 100644
--- a/explainerdashboard/dashboard_components/decisiontree_components.py
+++ b/explainerdashboard/dashboard_components/decisiontree_components.py
@@ -98,7 +98,7 @@ def layout(self):
                                             target='decisiontrees-index-label-'+self.name),
                             dcc.Dropdown(id='decisiontrees-index-'+self.name, 
                                 options = [{'label': str(idx), 'value':idx} 
-                                                for idx in self.explainer.idxs],
+                                                for idx in self.explainer.get_index_list()],
                                 value=self.index)
                         ], md=4), hide=self.hide_index),
                     make_hideable(
@@ -216,7 +216,7 @@ def layout(self):
                                             target='decisionpath-table-index-label-'+self.name),
                             dcc.Dropdown(id='decisionpath-table-index-'+self.name, 
                                 options = [{'label': str(idx), 'value':idx} 
-                                                for idx in self.explainer.idxs],
+                                                for idx in self.explainer.get_index_list()],
                                 value=self.index)
                         ], md=4), hide=self.hide_index),
                         make_hideable(
@@ -250,7 +250,7 @@ def component_callbacks(self, app):
         )
         def update_decisiontree_table(index, highlight, pos_label):
             if index is not None and highlight is not None:
-                decisionpath_df = self.explainer.decisiontree_summary_df(
+                decisionpath_df = self.explainer.decisionpath_summary_df(
                     int(highlight), index, pos_label=pos_label)
                 return dbc.Table.from_dataframe(decisionpath_df)
             raise PreventUpdate
@@ -321,7 +321,7 @@ def layout(self):
                                             target='decisionpath-index-label-'+self.name),
                             dcc.Dropdown(id='decisionpath-index-'+self.name, 
                                 options = [{'label': str(idx), 'value':idx} 
-                                                for idx in self.explainer.idxs],
+                                                for idx in self.explainer.get_index_list()],
                                 value=self.index)
                         ], md=4), hide=self.hide_index),
                         make_hideable(
@@ -366,5 +366,5 @@ def component_callbacks(self, app):
         )
         def update_tree_graph(n_clicks, index, highlight, pos_label):
             if n_clicks is not None and index is not None and highlight is not None:
-                return self.explainer.decision_path_encoded(int(highlight), index)
+                return self.explainer.decision_tree_encoded(int(highlight), index)
             raise PreventUpdate
\ No newline at end of file
diff --git a/explainerdashboard/dashboard_components/regression_components.py b/explainerdashboard/dashboard_components/regression_components.py
index 0b696f1..7a7467f 100644
--- a/explainerdashboard/dashboard_components/regression_components.py
+++ b/explainerdashboard/dashboard_components/regression_components.py
@@ -699,9 +699,11 @@ def __init__(self, explainer, title="Plot vs feature", name=None,
                     subtitle="Are predictions and residuals correlated with features?",
                     hide_title=False, hide_subtitle=False, hide_footer=False,
                     hide_col=False, hide_ratio=False, 
-                    hide_points=False, hide_winsor=False,
+                    hide_points=False, hide_winsor=False, 
+                    hide_cats_topx=False, hide_cats_sort=False,
                     col=None, display='difference', 
-                    points=True, winsor=0, description=None, **kwargs):
+                    points=True, winsor=0, cats_topx=10, cats_sort='freq', 
+                    description=None, **kwargs):
         """Show residuals, observed or preds vs a particular Feature component
 
         Args:
@@ -720,6 +722,8 @@ def __init__(self, explainer, title="Plot vs feature", name=None,
             hide_ratio (bool, optional): Hide the  toggle. Defaults to False.
             hide_points (bool, optional): Hide group points toggle. Defaults to False.
             hide_winsor (bool, optional): Hide winsor input. Defaults to False.
+            hide_cats_topx (bool, optional): hide the categories topx input. Defaults to False.
+            hide_cats_sort (bool, optional): hide the categories sort selector.Defaults to False.
             col ([type], optional): Initial feature to display. Defaults to None.
             display (str, {'observed', 'predicted', difference', 'ratio', 'log-ratio'} optional): 
                     What to display on y axis. Defaults to 'difference'.
@@ -727,6 +731,10 @@ def __init__(self, explainer, title="Plot vs feature", name=None,
                     for categorical cols. Defaults to True
             winsor (int, 0-50, optional): percentage of outliers to winsor out of 
                     the y-axis. Defaults to 0.
+            cats_topx (int, optional): maximum number of categories to display
+                for categorical features. Defaults to 10.
+            cats_sort (str, optional): how to sort categories: 'alphabet', 
+                'freq' or 'shap'. Defaults to 'freq'.
             description (str, optional): Tooltip to display when hover over
                 component title. When None default text is shown. 
         """
@@ -808,25 +816,50 @@ def layout(self):
                                 dbc.Input(id='reg-vs-col-winsor-'+self.name, 
                                         value=self.winsor,
                                     type="number", min=0, max=49, step=1),
-                        ], md=4), hide=self.hide_winsor),  
+                        ], md=4), hide=self.hide_winsor), 
+                    
                     make_hideable(
                         dbc.Col([
                             html.Div([
                                 dbc.FormGroup([
-                                        dbc.Label("Scatter:"),
-                                        dbc.Tooltip("For categorical features, display "
-                                                "a point cloud next to the violin plots.", 
-                                                    target='reg-vs-col-show-points-'+self.name),
-                                        dbc.Checklist(
-                                            options=[{"label": "Show point cloud", "value": True}],
-                                            value=[True] if self.points else [],
-                                            id='reg-vs-col-show-points-'+self.name,
-                                            inline=True,
-                                            switch=True,
-                                        ),
-                                    ]),
+                                    dbc.Label("Scatter:"),
+                                    dbc.Tooltip("For categorical features, display "
+                                            "a point cloud next to the violin plots.", 
+                                                target='reg-vs-col-show-points-'+self.name),
+                                    dbc.Checklist(
+                                        options=[{"label": "Show point cloud", "value": True}],
+                                        value=[True] if self.points else [],
+                                        id='reg-vs-col-show-points-'+self.name,
+                                        inline=True,
+                                        switch=True),
+                                ]),
                             ], id='reg-vs-col-show-points-div-'+self.name)
-                        ],  md=4), self.hide_points),
+                        ],  md=2), self.hide_points),
+                    make_hideable(
+                        dbc.Col([
+                            html.Div([
+                                dbc.Label("Categories:", id='reg-vs-col-n-categories-label-'+self.name),
+                                dbc.Tooltip("Maximum number of categories to display", 
+                                            target='reg-vs-col-n-categories-label-'+self.name),
+                                dbc.Input(id='reg-vs-col-n-categories-'+self.name, 
+                                    value=self.cats_topx,
+                                    type="number", min=1, max=50, step=1),
+                            ], id='reg-vs-col-n-categories-div-'+self.name),
+                        ], md=2), self.hide_cats_topx),
+                    make_hideable(
+                        dbc.Col([
+                            html.Div([
+                                html.Label('Sort categories:', id='reg-vs-col-categories-sort-label-'+self.name),
+                                dbc.Tooltip("How to sort the categories: alphabetically, most common "
+                                            "first (Frequency), or highest mean absolute SHAP value first (Shap impact)", 
+                                            target='reg-vs-col-categories-sort-label-'+self.name),
+                                dbc.Select(id='reg-vs-col-categories-sort-'+self.name,
+                                        options = [{'label': 'Alphabetically', 'value': 'alphabet'},
+                                                    {'label': 'Frequency', 'value': 'freq'},
+                                                    {'label': 'Shap impact', 'value': 'shap'}],
+                                        value=self.cats_sort),
+                            ], id='reg-vs-col-categories-sort-div-'+self.name),
+                        ], md=4), hide=self.hide_cats_sort),                    
                 ])
             ]), hide=self.hide_footer)
         ])
@@ -834,27 +867,34 @@ def layout(self):
     def register_callbacks(self, app):
         @app.callback(
             [Output('reg-vs-col-graph-'+self.name, 'figure'),
-             Output('reg-vs-col-show-points-div-'+self.name, 'style')],
+             Output('reg-vs-col-show-points-div-'+self.name, 'style'),
+             Output('reg-vs-col-n-categories-div-'+self.name, 'style'),
+             Output('reg-vs-col-categories-sort-div-'+self.name, 'style')],
             [Input('reg-vs-col-col-'+self.name, 'value'),
              Input('reg-vs-col-display-type-'+self.name, 'value'),
              Input('reg-vs-col-show-points-'+self.name, 'value'),
-             Input('reg-vs-col-winsor-'+self.name, 'value')],
+             Input('reg-vs-col-winsor-'+self.name, 'value'),
+             Input('reg-vs-col-n-categories-'+self.name, 'value'),
+             Input('reg-vs-col-categories-sort-'+self.name, 'value')],
         )
-        def update_residuals_graph(col, display, points, winsor):
+        def update_residuals_graph(col, display, points, winsor, topx, sort):
             if col in self.explainer.onehot_cols or col in self.explainer.categorical_cols:
                 style = {}
             else:
                 style = dict(display="none")
             if display == 'observed':
                 return self.explainer.plot_y_vs_feature(
-                        col, points=bool(points), winsor=winsor, dropna=True), style
+                        col, points=bool(points), winsor=winsor, dropna=True,
+                        topx=topx, sort=sort), style, style, style
             elif display == 'predicted':
                 return self.explainer.plot_preds_vs_feature(
-                        col, points=bool(points), winsor=winsor, dropna=True), style
+                        col, points=bool(points), winsor=winsor, dropna=True,
+                        topx=topx, sort=sort), style, style, style
             else:
                 return self.explainer.plot_residuals_vs_feature(
                             col, residuals=display, points=bool(points), 
-                            winsor=winsor, dropna=True), style
+                            winsor=winsor, dropna=True,
+                        topx=topx, sort=sort), style, style, style
 
 
 class RegressionModelSummaryComponent(ExplainerComponent):
diff --git a/explainerdashboard/dashboard_components/shap_components.py b/explainerdashboard/dashboard_components/shap_components.py
index 9450e6c..520e706 100644
--- a/explainerdashboard/dashboard_components/shap_components.py
+++ b/explainerdashboard/dashboard_components/shap_components.py
@@ -119,7 +119,7 @@ def layout(self):
                                             target='shap-summary-index-label-'+self.name),
                                 dcc.Dropdown(id='shap-summary-index-'+self.name, 
                                     options = [{'label': str(idx), 'value':idx} 
-                                                    for idx in self.explainer.get_index_list()],
+                                                    for idx in self.explainer.idxs],
                                     value=self.index),
                             ], id='shap-summary-index-col-'+self.name, style=dict(display="none")), 
                         ], md=3), hide=self.hide_index),  
@@ -209,6 +209,8 @@ def __init__(self, explainer, title='Shap Dependence', name=None,
             color_col (str, optional): Color plot by values of this Feature. 
                         Defaults to None.
             index (int, optional): Highlight a particular index. Defaults to None.
+            cats_topx (int, optional): maximum number of categories to display
+                for categorical features. Defaults to 10.
             cats_sort (str, optional): how to sort categories: 'alphabet', 
                 'freq' or 'shap'. Defaults to 'freq'.
             max_cat_colors (int, optional): for categorical features, maximum number
@@ -283,7 +285,7 @@ def layout(self):
                                         target='shap-dependence-index-label-'+self.name),
                             dcc.Dropdown(id='shap-dependence-index-'+self.name, 
                                 options = [{'label': str(idx), 'value':idx} 
-                                                for idx in self.explainer.get_index_list()],
+                                                for idx in self.explainer.idxs],
                                 value=self.index)
                         ], md=4), hide=self.hide_index),         
                 ], form=True),
@@ -515,7 +517,7 @@ def layout(self):
                                             target='interaction-summary-index-label-'+self.name),
                                 dcc.Dropdown(id='interaction-summary-index-'+self.name, 
                                     options = [{'label': str(idx), 'value':idx} 
-                                                    for idx in self.explainer.get_index_list()],
+                                                    for idx in self.explainer.idxs],
                                     value=self.index),
                             ], id='interaction-summary-index-col-'+self.name, style=dict(display="none")), 
                         ], md=3), hide=self.hide_index),  
@@ -688,7 +690,7 @@ def layout(self):
                                             target='interaction-dependence-index-label-'+self.name),
                                 dcc.Dropdown(id='interaction-dependence-index-'+self.name, 
                                     options = [{'label': str(idx), 'value':idx} 
-                                                    for idx in self.explainer.get_index_list()],
+                                                    for idx in self.explainer.idxs],
                                     value=self.index)
                             ], md=4), hide=self.hide_index), 
                     ], form=True),
diff --git a/explainerdashboard/explainer_methods.py b/explainerdashboard/explainer_methods.py
index 9a91637..b685f33 100644
--- a/explainerdashboard/explainer_methods.py
+++ b/explainerdashboard/explainer_methods.py
@@ -1036,7 +1036,7 @@ def normalize_shap_interaction_values(shap_interaction_values, shap_values=None)
     return siv
     
 
-def get_decisiontree_df(decision_tree, observation, pos_label=1):
+def get_decisionpath_df(decision_tree, observation, pos_label=1):
     """summarize the path through a DecisionTree for a specific observation.
 
     Args:
diff --git a/explainerdashboard/explainer_plots.py b/explainerdashboard/explainer_plots.py
index fa2e510..d156ca2 100644
--- a/explainerdashboard/explainer_plots.py
+++ b/explainerdashboard/explainer_plots.py
@@ -858,7 +858,10 @@ def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False,
         highlight_index (int, str, optional): Row index to highligh. Defaults to None.
         idxs (List[str], optional): List of identifiers for each row in X, e.g. 
             names or id's. Defaults to None.
-        index_name (str): identifier for idxs. Defaults to "index".
+        cats_order (list, optional): list of categories to display. If None
+            defaults to X_col.unique().tolist() so displays all categories.
+        max_cat_colors (int, optional): maximum number of X_color_col categories
+            to colorize in scatter plot next to violin plot. Defaults to 5.
 
     Returns:
         Plotly fig
@@ -1700,12 +1703,8 @@ def plotly_predicted_vs_actual(y, preds, target="" , units="", round=2,
     
     layout = go.Layout(
         title=f"Predicted {target} vs Observed {target}",
-        yaxis=dict(
-            title=f"Predicted {target}" + f" ({units})" if units else "",
-        ),
-        xaxis=dict(
-            title=f"Observed {target}" + f" ({units})" if units else "",
-        ),
+        yaxis=dict(title=f"Predicted {target}" + (f" ({units})" if units else "")),
+        xaxis=dict(title=f"Observed {target}" + (f" ({units})" if units else "")),
         plot_bgcolor = '#fff',
         hovermode = 'closest',
     )
@@ -1807,7 +1806,7 @@ def plotly_plot_residuals(y, preds, vs_actual=False, target="", units="",
 
 def plotly_residuals_vs_col(y, preds, col, col_name=None, residuals='difference',
                             idxs=None, round=2, points=True, winsor=0, 
-                            na_fill=-999, index_name="index"):
+                            na_fill=-999, index_name="index", cats_order=None):
     """Generates a residuals plot vs a particular feature column.
 
     Args:
@@ -1827,6 +1826,8 @@ def plotly_residuals_vs_col(y, preds, col, col_name=None, residuals='difference'
             percent highest and lowest values. Defaults to 0.
         na_fill (int, optional): Value used to fill missing values. Defaults to -999.
         index_name (str): identifier for idxs. Defaults to "index".
+        cats_order (list, optional): list of categories to display. If None
+            defaults to X_col.unique().tolist() so displays all categories.
 
 
     Returns:
@@ -1867,7 +1868,9 @@ def plotly_residuals_vs_col(y, preds, col, col_name=None, residuals='difference'
                                                     np.round(res, round))] 
     
     if not is_numeric_dtype(col):
-        n_cats = col.nunique()
+        if cats_order is None:
+            cats_order = sorted(col.unique().tolist())
+        n_cats = len(cats_order)
         
         if points:
             fig = make_subplots(rows=1, cols=2*n_cats, column_widths=[3, 1]*n_cats, shared_yaxes=True)
@@ -1878,7 +1881,7 @@ def plotly_residuals_vs_col(y, preds, col, col_name=None, residuals='difference'
         fig.update_yaxes(range=[np.percentile(residuals_display, winsor), 
                                 np.percentile(residuals_display, 100-winsor)]) 
 
-        for i, cat in enumerate(col.unique()):
+        for i, cat in enumerate(cats_order):
             column = 1+i*2 if points else 1+i
             fig.add_trace(go.Violin(
                                 x=col[col == cat],
@@ -1897,7 +1900,7 @@ def plotly_residuals_vs_col(y, preds, col, col_name=None, residuals='difference'
                                 text=[t for t, b in zip(residuals_text, col == cat) if b],
                                 hoverinfo="text",
                                 marker=dict(size=7, 
-                                        opacity=0.6,
+                                        opacity=0.3,
                                         color='blue'),
                             ), row=1, col=column+1)
 
@@ -1954,7 +1957,7 @@ def plotly_residuals_vs_col(y, preds, col, col_name=None, residuals='difference'
 
 def plotly_actual_vs_col(y, preds, col, col_name=None, 
                             idxs=None, round=2, points=True, winsor=0, na_fill=-999,
-                            units="", target="", index_name="index"):
+                            units="", target="", index_name="index", cats_order=None):
     """Generates a residuals plot vs a particular feature column.
 
     Args:
@@ -1972,6 +1975,8 @@ def plotly_actual_vs_col(y, preds, col, col_name=None,
             percent highest and lowest values. Defaults to 0.
         na_fill (int, optional): Value used to fill missing values. Defaults to -999.
         index_name (str): identifier for idxs. Defaults to "index".
+        cats_order (list, optional): list of categories to display. If None
+            defaults to X_col.unique().tolist() so displays all categories.
 
 
     Returns:
@@ -1996,7 +2001,9 @@ def plotly_actual_vs_col(y, preds, col, col_name=None,
                                                     np.round(preds, round))] 
     
     if not is_numeric_dtype(col):
-        n_cats = col.nunique()
+        if cats_order is None:
+            cats_order = sorted(col.unique().tolist())
+        n_cats = len(cats_order)
         
         if points:
             fig = make_subplots(rows=1, cols=2*n_cats, column_widths=[3, 1]*n_cats, shared_yaxes=True)
@@ -2007,7 +2014,7 @@ def plotly_actual_vs_col(y, preds, col, col_name=None,
         fig.update_yaxes(range=[np.percentile(y, winsor), 
                                 np.percentile(y, 100-winsor)]) 
 
-        for i, cat in enumerate(col.unique()):
+        for i, cat in enumerate(cats_order):
             column = 1+i*2 if points else 1+i
             fig.add_trace(go.Violin(
                                 x=col[col == cat],
@@ -2077,7 +2084,7 @@ def plotly_actual_vs_col(y, preds, col, col_name=None,
 
 def plotly_preds_vs_col(y, preds, col, col_name=None, 
                             idxs=None, round=2, points=True, winsor=0, na_fill=-999,
-                            units="", target="", index_name="index"):
+                            units="", target="", index_name="index", cats_order=None):
     """Generates plot of predictions vs a particular feature column.
 
     Args:
@@ -2095,7 +2102,8 @@ def plotly_preds_vs_col(y, preds, col, col_name=None,
             percent highest and lowest values. Defaults to 0.
         na_fill (int, optional): Value used to fill missing values. Defaults to -999.
         index_name (str): identifier for idxs. Defaults to "index".
-
+        cats_order (list, optional): list of categories to display. If None
+            defaults to X_col.unique().tolist() so displays all categories.
 
     Returns:
         Plotly fig
@@ -2117,7 +2125,9 @@ def plotly_preds_vs_col(y, preds, col, col_name=None,
                   for idx, actual, pred in zip(idxs,np.round(y, round), np.round(preds, round))] 
     
     if not is_numeric_dtype(col):
-        n_cats = col.nunique()
+        if cats_order is None:
+            cats_order = sorted(col.unique().tolist())
+        n_cats = len(cats_order)
         
         if points:
             fig = make_subplots(rows=1, cols=2*n_cats, column_widths=[3, 1]*n_cats, shared_yaxes=True)
@@ -2128,7 +2138,7 @@ def plotly_preds_vs_col(y, preds, col, col_name=None,
         fig.update_yaxes(range=[np.percentile(preds, winsor), 
                                 np.percentile(preds, 100-winsor)]) 
 
-        for i, cat in enumerate(col.unique()):
+        for i, cat in enumerate(cats_order):
             column = 1+i*2 if points else 1+i
             fig.add_trace(go.Violin(
                                 x=col[col == cat],
diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index 0bec93c..214827f 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -5,10 +5,6 @@
             'RandomForestRegressionExplainer',
             'XGBClassifierExplainer',
             'XGBRegressionExplainer',
-            'ClassifierBunch', # deprecated
-            'RegressionBunch', # deprecated
-            'RandomForestClassifierBunch', # deprecated
-            'RandomForestRegressionBunch', # deprecated
             ]
 
 import sys
@@ -2549,7 +2545,7 @@ def plot_residuals(self, vs_actual=False, round=2, residuals='difference'):
                                      round=round, index_name=self.index_name)
     
     def plot_residuals_vs_feature(self, col, residuals='difference', round=2, 
-                dropna=True, points=True, winsor=0):
+                dropna=True, points=True, winsor=0, topx=None, sort='alphabet'):
         """Plot residuals vs individual features
 
         Args:
@@ -2571,13 +2567,21 @@ def plot_residuals_vs_feature(self, col, residuals='difference', round=2,
         assert col in self.merged_cols, f'{col} not in explainer.merged_cols!'
         col_vals = self.get_col(col)
         na_mask = col_vals != self.na_fill if dropna else np.array([True]*len(col_vals))
-        return plotly_residuals_vs_col(
-            self.y[na_mask], self.preds[na_mask], col_vals[na_mask], 
-            residuals=residuals, idxs=self.idxs.values[na_mask], points=points, 
-            round=round, winsor=winsor, index_name=self.index_name)
+        if col in self.cat_cols:
+            return plotly_residuals_vs_col(
+                self.y[na_mask], self.preds[na_mask], col_vals[na_mask], 
+                residuals=residuals, idxs=self.idxs.values[na_mask], points=points, 
+                round=round, winsor=winsor, index_name=self.index_name,
+                cats_order=self.ordered_cats(col, topx, sort))
+        else:
+            return plotly_residuals_vs_col(
+                self.y[na_mask], self.preds[na_mask], col_vals[na_mask], 
+                residuals=residuals, idxs=self.idxs.values[na_mask], points=points, 
+                round=round, winsor=winsor, index_name=self.index_name)
+
 
     def plot_y_vs_feature(self, col, residuals='difference', round=2, 
-                dropna=True, points=True, winsor=0):
+                dropna=True, points=True, winsor=0, topx=None, sort='alphabet'):
         """Plot y vs individual features
 
         Args:
@@ -2597,12 +2601,19 @@ def plot_y_vs_feature(self, col, residuals='difference', round=2,
         assert col in self.merged_cols, f'{col} not in explainer.merged_cols!'
         col_vals = self.get_col(col)
         na_mask = col_vals != self.na_fill if dropna else np.array([True]*len(col_vals))
-        return plotly_actual_vs_col(self.y[na_mask], self.preds[na_mask], col_vals[na_mask], 
-                idxs=self.idxs.values[na_mask], points=points, round=round, winsor=winsor,
-                units=self.units, target=self.target, index_name=self.index_name)
+        if col in self.cat_cols:
+            return plotly_actual_vs_col(self.y[na_mask], self.preds[na_mask], col_vals[na_mask], 
+                    idxs=self.idxs.values[na_mask], points=points, round=round, winsor=winsor,
+                    units=self.units, target=self.target, index_name=self.index_name,
+                    cats_order=self.ordered_cats(col, topx, sort))
+        else:
+            return plotly_actual_vs_col(self.y[na_mask], self.preds[na_mask], col_vals[na_mask], 
+                    idxs=self.idxs.values[na_mask], points=points, round=round, winsor=winsor,
+                    units=self.units, target=self.target, index_name=self.index_name)
+
 
     def plot_preds_vs_feature(self, col, residuals='difference', round=2, 
-                dropna=True, points=True, winsor=0):
+                dropna=True, points=True, winsor=0, topx=None, sort='alphabet'):
         """Plot y vs individual features
 
         Args:
@@ -2620,26 +2631,28 @@ def plot_preds_vs_feature(self, col, residuals='difference', round=2,
         assert col in self.merged_cols, f'{col} not in explainer.merged_cols!'
         col_vals = self.get_col(col)
         na_mask = col_vals != self.na_fill if dropna else np.array([True]*len(col_vals))
-        return plotly_preds_vs_col(self.y[na_mask], self.preds[na_mask], col_vals[na_mask], 
-                idxs=self.idxs.values[na_mask], points=points, round=round, winsor=winsor,
-                units=self.units, target=self.target, index_name=self.index_name)
+        if col in self.cat_cols:
+            return plotly_preds_vs_col(self.y[na_mask], self.preds[na_mask], col_vals[na_mask], 
+                    idxs=self.idxs.values[na_mask], points=points, round=round, winsor=winsor,
+                    units=self.units, target=self.target, index_name=self.index_name,
+                    cats_order=self.ordered_cats(col, topx, sort))
+        else:
+            return plotly_preds_vs_col(self.y[na_mask], self.preds[na_mask], col_vals[na_mask], 
+                    idxs=self.idxs.values[na_mask], points=points, round=round, winsor=winsor,
+                    units=self.units, target=self.target, index_name=self.index_name)
 
 
-class RandomForestExplainer(BaseExplainer):
-    """RandomForestBunch allows for the analysis of individual DecisionTrees that
-    make up the RandomForest.
+class TreeExplainer(BaseExplainer):
 
-    """
-    
     @property
     def is_tree_explainer(self):
-        """this is either a RandomForestExplainer or XGBExplainer"""
+        """this is a TreeExplainer"""
         return True
 
     @property
     def no_of_trees(self):
         """The number of trees in the RandomForest model"""
-        return len(self.model.estimators_)
+        raise NotImplementedError
         
     @property
     def graphviz_available(self):
@@ -2663,65 +2676,52 @@ def graphviz_available(self):
         return self._graphviz_available
 
     @property
-    def decision_trees(self):
+    def shadow_trees(self):
         """a list of ShadowDecTree objects"""
-        if not hasattr(self, '_decision_trees'):
-            print("Calculating ShadowDecTree for each individual decision tree...", flush=True)
-            assert hasattr(self.model, 'estimators_'), \
-                """self.model does not have an estimators_ attribute, so probably not
-                actually a sklearn RandomForest?"""
-                
-            self._decision_trees = [
-                ShadowDecTree.get_shadow_tree(decision_tree,
-                                        self.X,
-                                        self.y,
-                                        feature_names=self.X.columns.tolist(),
-                                        target_name='target',
-                                        class_names = self.labels if self.is_classifier else None)
-                            for decision_tree in self.model.estimators_]
-        return self._decision_trees
+        raise NotImplementedError
 
     @insert_pos_label
-    def decisiontree_df(self, tree_idx, index, pos_label=None):
+    def decisionpath_df(self, tree_idx, index, pos_label=None):
         """dataframe with all decision nodes of a particular decision tree
+        for a particular observation.
 
         Args:
           tree_idx: the n'th tree in the random forest
           index: row index
-          round:  (Default value = 2)
           pos_label:  positive class (Default value = None)
 
         Returns:
           dataframe with summary of the decision tree path
 
         """
-        assert tree_idx >= 0 and tree_idx < len(self.decision_trees), \
+        assert tree_idx >= 0 and tree_idx < len(self.shadow_trees), \
             f"tree index {tree_idx} outside 0 and number of trees ({len(self.decision_trees)}) range"
         X_row = self.get_X_row(index)
         if self.is_classifier:
-            return get_decisiontree_df(self.decision_trees[tree_idx], X_row.squeeze(),
+            return get_decisionpath_df(self.shadow_trees[tree_idx], X_row.squeeze(),
                     pos_label=pos_label)
         else:
-            return get_decisiontree_df(self.decision_trees[tree_idx], X_row.squeeze())
+            return get_decisionpath_df(self.shadow_trees[tree_idx], X_row.squeeze())
 
     @insert_pos_label
-    def decisiontree_summary_df(self, tree_idx, index, round=2, pos_label=None):
+    def decisionpath_summary_df(self, tree_idx, index, round=2, pos_label=None):
         """formats decisiontree_df in a slightly more human readable format.
 
         Args:
-          tree_idx: the n'th tree in the random forest
-          index: row index
-          round:  (Default value = 2)
+          tree_idx: the n'th tree in the random forest or boosted ensemble
+          index: index
+          round: rounding to apply to floats (Default value = 2)
           pos_label:  positive class (Default value = None)
 
         Returns:
           dataframe with summary of the decision tree path
 
         """
-        return get_decisiontree_summary_df(self.decisiontree_df(tree_idx, index, pos_label=pos_label),
+        return get_decisiontree_summary_df(
+                self.decisionpath_df(tree_idx, index, pos_label=pos_label),
                     classifier=self.is_classifier, round=round, units=self.units)
 
-    def decision_path_file(self, tree_idx, index, show_just_path=False):
+    def decision_tree_file(self, tree_idx, index, show_just_path=False):
         """get a dtreeviz visualization of a particular tree in the random forest.
 
         Args:
@@ -2738,14 +2738,14 @@ def decision_path_file(self, tree_idx, index, show_just_path=False):
             print("No graphviz 'dot' executable available!") 
             return None
 
-        viz = dtreeviz(self.decision_trees[tree_idx], 
+        viz = dtreeviz(self.shadow_trees[tree_idx], 
                         X=self.get_X_row(index).squeeze(), 
                         fancy=False,
                         show_node_labels = False,
                         show_just_path=show_just_path) 
         return viz.save_svg()
 
-    def decision_path(self, tree_idx, index, show_just_path=False):
+    def decision_tree(self, tree_idx, index, show_just_path=False):
         """get a dtreeviz visualization of a particular tree in the random forest.
 
         Args:
@@ -2763,10 +2763,10 @@ def decision_path(self, tree_idx, index, show_just_path=False):
             return None
 
         from IPython.display import SVG
-        svg_file = self.decision_path_file(tree_idx, index, show_just_path)
+        svg_file = self.decision_tree_file(tree_idx, index, show_just_path)
         return SVG(open(svg_file,'rb').read())
 
-    def decision_path_encoded(self, tree_idx, index, show_just_path=False):
+    def decision_tree_encoded(self, tree_idx, index, show_just_path=False):
         """get a dtreeviz visualization of a particular tree in the random forest.
 
         Args:
@@ -2784,11 +2784,73 @@ def decision_path_encoded(self, tree_idx, index, show_just_path=False):
             print("No graphviz 'dot' executable available!")
             return None
         
-        svg_file = self.decision_path_file(tree_idx, index, show_just_path)
+        svg_file = self.decision_tree_file(tree_idx, index, show_just_path)
         encoded = base64.b64encode(open(svg_file,'rb').read()) 
         svg_encoded = 'data:image/svg+xml;base64,{}'.format(encoded.decode()) 
         return svg_encoded
 
+    @insert_pos_label
+    def plot_trees(self, index, highlight_tree=None, round=2, 
+                higher_is_better=True, pos_label=None):
+        """plot barchart predictions of each individual prediction tree
+
+        Args:
+          index: index to display predictions for
+          highlight_tree:  tree to highlight in plot (Default value = None)
+          round: rounding of numbers in plot (Default value = 2)
+          higher_is_better (bool): flip red and green. Dummy bool for compatibility
+                with gbm plot_trees().
+          pos_label: positive class (Default value = None)
+
+        Returns:
+
+        """
+        
+        raise NotImplementedError
+
+    def calculate_properties(self, include_interactions=True):
+        """
+
+        Args:
+          include_interactions:  If False do not calculate shap interaction value
+            (Default value = True)
+
+        Returns:
+
+        """
+        _ = self.shadow_trees
+        super().calculate_properties(include_interactions=include_interactions)
+
+
+class RandomForestExplainer(TreeExplainer):
+    """RandomForestExplainer allows for the analysis of individual DecisionTrees that
+    make up the RandomForestClassifier or RandomForestRegressor. """
+
+    @property
+    def no_of_trees(self):
+        """The number of trees in the RandomForest model"""
+        return len(self.model.estimators_)
+
+    @property
+    def shadow_trees(self):
+        """a list of ShadowDecTree objects"""
+        if not hasattr(self, '_shadow_trees'):
+            print("Calculating ShadowDecTree for each individual decision tree...", flush=True)
+            assert hasattr(self.model, 'estimators_'), \
+                """self.model does not have an estimators_ attribute, so probably not
+                actually a sklearn RandomForest?"""
+                
+            self._shadow_trees = [
+                ShadowDecTree.get_shadow_tree(decision_tree,
+                                        self.X,
+                                        self.y,
+                                        feature_names=self.X.columns.tolist(),
+                                        target_name='target',
+                                        class_names = self.labels if self.is_classifier else None)
+                            for decision_tree in self.model.estimators_]
+        return self._shadow_trees
+
+   
     @insert_pos_label
     def plot_trees(self, index, highlight_tree=None, round=2, 
                 higher_is_better=True, pos_label=None):
@@ -2821,34 +2883,17 @@ def plot_trees(self, index, highlight_tree=None, round=2,
                         highlight_tree=highlight_tree, round=round, 
                         target=self.target, units=self.units)
 
-    def calculate_properties(self, include_interactions=True):
-        """
-
-        Args:
-          include_interactions:  If False do not calculate shap interaction value
-            (Default value = True)
-
-        Returns:
-
-        """
-        _ = self.decision_trees
-        super().calculate_properties(include_interactions=include_interactions)
 
 
-class XGBExplainer(BaseExplainer):
+class XGBExplainer(TreeExplainer):
     """XGBExplainer allows for the analysis of individual DecisionTrees that
     make up the xgboost model.
     """
 
-    @property
-    def is_tree_explainer(self):
-        """this is either a RandomForestExplainer or XGBExplainer"""
-        return True
-
     @property
     def model_dump_list(self):
         if not hasattr(self, "_model_dump_list"):
-            print("Generating model dump...", flush=True)
+            print("Generating xgboost model dump...", flush=True)
             self._model_dump_list = self.model.get_booster().get_dump()
         return self._model_dump_list
 
@@ -2856,37 +2901,18 @@ def model_dump_list(self):
     def no_of_trees(self):
         """The number of trees in the RandomForest model"""
         if self.is_classifier and len(self.labels) > 2:
+            # for multiclass classification xgboost generates a seperate
+            # tree for each class
             return int(len(self.model_dump_list) / len(self.labels))
         return len(self.model_dump_list)
-        
-    @property
-    def graphviz_available(self):
-        """ """
-        if not hasattr(self, '_graphviz_available'):
-            try:
-                import graphviz.backend as be
-                cmd = ["dot", "-V"]
-                stdout, stderr = be.run(cmd, capture_output=True, check=True, quiet=True)
-            except:
-                print("""
-                WARNING: you don't seem to have graphviz in your path (cannot run 'dot -V'), 
-                so no dtreeviz visualisation of decision trees will be shown on the shadow trees tab.
-
-                See https://github.com/parrt/dtreeviz for info on how to properly install graphviz 
-                for dtreeviz. 
-                """)
-                self._graphviz_available = False
-            else:
-                self._graphviz_available = True
-        return self._graphviz_available
 
     @property
-    def decision_trees(self):
+    def shadow_trees(self):
         """a list of ShadowDecTree objects"""
-        if not hasattr(self, '_decision_trees'):
+        if not hasattr(self, '_shadow_trees'):
             print("Calculating ShadowDecTree for each individual decision tree...", flush=True)
                 
-            self._decision_trees = [
+            self._shadow_trees = [
                 ShadowDecTree.get_shadow_tree(self.model.get_booster(),
                                         self.X,
                                         self.y,
@@ -2895,10 +2921,10 @@ def decision_trees(self):
                                         class_names = self.labels if self.is_classifier else None,
                                         tree_index=i)
                             for i in range(len(self.model_dump_list))]
-        return self._decision_trees
+        return self._shadow_trees
 
     @insert_pos_label
-    def decisiontree_df(self, tree_idx, index, pos_label=None):
+    def decisionpath_df(self, tree_idx, index, pos_label=None):
         """dataframe with all decision nodes of a particular decision tree
 
         Args:
@@ -2916,26 +2942,25 @@ def decisiontree_df(self, tree_idx, index, pos_label=None):
         
         if self.is_classifier:
             if len(self.labels) > 2:
+                # for multiclass classification xgboost generates a seperate
+                # tree for each class
                 tree_idx = tree_idx * len(self.labels) + pos_label
         return get_xgboost_path_df(self.model_dump_list[tree_idx], self.get_X_row(index))
 
-
-    def decisiontree_summary_df(self, tree_idx, index, round=2, pos_label=None):
+    def decisionpath_summary_df(self, tree_idx, index, round=2, pos_label=None):
         """formats decisiontree_df in a slightly more human readable format.
-
         Args:
           tree_idx: the n'th tree in the random forest
           index: row index
           round:  (Default value = 2)
           pos_label:  positive class (Default value = None)
-
         Returns:
           dataframe with summary of the decision tree path
-
         """
-        return get_xgboost_path_summary_df(self.decisiontree_df(tree_idx, index, pos_label=pos_label))
+        return get_xgboost_path_summary_df(self.decisionpath_df(tree_idx, index, pos_label=pos_label))
 
-    def decision_path_file(self, tree_idx, index, show_just_path=False, pos_label=None):
+    @insert_pos_label
+    def decision_tree_file(self, tree_idx, index, show_just_path=False, pos_label=None):
         """get a dtreeviz visualization of a particular tree in the random forest.
 
         Args:
@@ -2964,50 +2989,7 @@ def decision_path_file(self, tree_idx, index, show_just_path=False, pos_label=No
                         show_just_path=show_just_path) 
         return viz.save_svg()
 
-    def decision_path(self, tree_idx, index, show_just_path=False, pos_label=None):
-        """get a dtreeviz visualization of a particular tree in the random forest.
-
-        Args:
-          tree_idx: the n'th tree in the random forest
-          index: row index
-          show_just_path (bool, optional): show only the path not rest of the 
-                    tree. Defaults to False. 
-
-        Returns:
-          a IPython display SVG object for e.g. jupyter notebook.
-
-        """
-        if not self.graphviz_available:
-            print("No graphviz 'dot' executable available!") 
-            return None
-
-        from IPython.display import SVG
-        svg_file = self.decision_path_file(tree_idx, index, show_just_path, pos_label)
-        return SVG(open(svg_file,'rb').read())
-
-    def decision_path_encoded(self, tree_idx, index, show_just_path=False, pos_label=None):
-        """get a dtreeviz visualization of a particular tree in the random forest.
-
-        Args:
-          tree_idx: the n'th tree in the random forest
-          index: row index
-          show_just_path (bool, optional): show only the path not rest of the 
-                    tree. Defaults to False. 
-
-        Returns:
-          a base64 encoded image, for inclusion in websites (e.g. dashboard)
-        
-
-        """
-        if not self.graphviz_available:
-            print("No graphviz 'dot' executable available!")
-            return None
-        
-        svg_file = self.decision_path_file(tree_idx, index, show_just_path, pos_label)
-        encoded = base64.b64encode(open(svg_file,'rb').read()) 
-        svg_encoded = 'data:image/svg+xml;base64,{}'.format(encoded.decode()) 
-        return svg_encoded
-
+    @insert_pos_label
     def plot_trees(self, index, highlight_tree=None, round=2, 
                 higher_is_better=True, pos_label=None):
         """plot barchart predictions of each individual prediction tree
@@ -3025,8 +3007,8 @@ def plot_trees(self, index, highlight_tree=None, round=2,
         """
         if self.is_classifier:
             pos_label = self.get_pos_label_index(pos_label)
-
-            y = 100 * int(self.get_y(index) == pos_label)
+            y = self.get_y(index)
+            y = 100 * int(y == pos_label) if y is not None else y
             xgboost_preds_df = get_xgboost_preds_df(
                 self.model, self.get_X_Row(index), pos_label=pos_label)
             return plotly_xgboost_trees(xgboost_preds_df, 
@@ -3053,7 +3035,7 @@ def calculate_properties(self, include_interactions=True):
         Returns:
 
         """
-        _ = self.decision_trees, self.model_dump_list
+        _ = self.shadow_trees, self.model_dump_list
         super().calculate_properties(include_interactions=include_interactions)
 
 
@@ -3083,33 +3065,3 @@ class XGBRegressionExplainer(XGBExplainer, RegressionExplainer):
     RegressionExplainer.
     """
     pass
-
-
-class ClassifierBunch:
-    """ """
-    def __init__(self, *args, **kwargs):
-        raise ValueError("ClassifierBunch has been deprecated, use ClassifierExplainer instead...")
-
-class RegressionBunch:
-    """ """
-    def __init__(self, *args, **kwargs):
-        raise ValueError("RegressionBunch has been deprecated, use RegressionrExplainer instead...")
-
-class RandomForestExplainerBunch:
-    """ """
-    def __init__(self, *args, **kwargs):
-        raise ValueError("RandomForestExplainerBunch has been deprecated, use RandomForestExplainer instead...")
-
-class RandomForestClassifierBunch:
-    """ """
-    def __init__(self, *args, **kwargs):
-        raise ValueError("RandomForestClassifierBunch has been deprecated, use RandomForestClassifierExplainer instead...")
-
-class RandomForestRegressionBunch:
-    """ """
-    def __init__(self, *args, **kwargs):
-        raise ValueError("RandomForestRegressionBunch has been deprecated, use RandomForestRegressionExplainer instead...")
-
-
-
-

From 10632df3504b721d06f7da7ad5f386870924f7b5 Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Wed, 20 Jan 2021 10:29:09 +0100
Subject: [PATCH 06/28] rewrite ClassifierExplainer for v0.3

---
 .gitignore                                    |   6 +-
 RELEASE_NOTES.md                              |  22 +-
 TODO.md                                       |  26 +-
 .../decisiontree_components.py                |   2 +-
 .../overview_components.py                    |   2 +-
 .../regression_components.py                  |  26 +-
 .../dashboard_components/shap_components.py   |  62 +--
 explainerdashboard/dashboard_methods.py       |   2 +-
 explainerdashboard/explainer_plots.py         | 170 ++++---
 explainerdashboard/explainers.py              | 449 ++++++++----------
 10 files changed, 350 insertions(+), 417 deletions(-)

diff --git a/.gitignore b/.gitignore
index 2d4bd86..db255d9 100644
--- a/.gitignore
+++ b/.gitignore
@@ -129,11 +129,9 @@ dmypy.json
 
 # Pyre type checker
 .pyre/
-catboost_info/learn_error.tsv
-catboost_info/time_left.tsv
-catboost_info/learn/events.out.tfevents
-.vscode/settings.json
+catboost_info/*
 .vscode/settings.json
+
 scratch_notebook.ipynb
 scratch_import.py
 show_and_tell_draft.md
diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index 11ff8ff..82ba878 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -10,14 +10,23 @@
     on code complexity and memory usage. If you wish to see the see the individual
     contributions of onehot encoded columns, simply don't pass them to the 
     `cats` parameter on construction.
+- Deprecated:
+    - `BaseExplaiener`:
+        - `self.shap_values_cats`
+        - `self.shap_interaction_values_cats`
+
+
 - Naming changes:
+    - `BaseExplainer`:
+        - `self.get_int_idx(index)` -> `self.get_idx(index)`
+        - `self.shap_values` -> `self.shap_values_df`
     -`TreeExplainers`:
         - `self.decision_trees` -> `self.shadow_trees`
         - `self.decisiontree_df` -> `self.decisionpath_df`
         - `self.decisiontree_summary_df` -> `self.decisionpath_summary_df`
-        - `self.decision_path_file` -> `self.decision_tree_file`
-        - `self.decision_path` -> `self.decision_tree`
-        - `self.decision_path_encoded` -> `self.decision_tree_encoded`
+        - `self.decision_path_file` -> `self.decisiontree_file`
+        - `self.decision_path` -> `self.decisiontree`
+        - `self.decision_path_encoded` -> `self.decisiontree_encoded`
 
 ### New Features
 - new `Explainer` parameter `precision`: defaults to `'float64'`. Can be set to
@@ -34,13 +43,14 @@
 - adds category limits and sorting to `RegressionVsCol` component
 
 ### Bug Fixes
--
--
+- shap dependence: when no point cloud, do not highlight!
+- Fixed bug with calculating contributions plot/table for whatif component,
+    when InputFeatures had not fully loaded, resulting in shap error.
 
 ### Improvements
 - encoding onehot columns as `np.int8` saving memory usage
 - encoding categorical features as `pd.category` saving memory usage
-- added base TreeExplainer class that RandomForestExplainer and XGBExplainer both derive from
+- added base `TreeExplainer` class that `RandomForestExplainer` and `XGBExplainer` both derive from
     - will make it easier to extend tree explainers to other models in the future
         - e.g. catboost and lightgbm
 
diff --git a/TODO.md b/TODO.md
index 65e7b35..76ceb9b 100644
--- a/TODO.md
+++ b/TODO.md
@@ -3,25 +3,15 @@
 
 ## Version 0.3:
 - check all register_dependencies()
-- rename tree methods
-- regression vs col:
-    - rename cat col names
-    - add cat col sorter
-- use prediction in xgboostexplainer plot_trees method
-
+- add option drop encoded cols
+- add options drop non-pos label
 ## Bugs:
-- dash contributions reload bug: Exception: Additivity check failed in TreeExplainer!
-- shap dependence: when no point cloud, do not highlight!
-- /Users/oege/projects/explainerhub/venv/lib/python3.8/site-packages/sklearn/tree/_classes.py:1254: FutureWarning:
 
-the classes_ attribute is to be deprecated from version 0.22 and will be removed in 0.24.
 
 ## Layout:
 - Find a proper frontender to help :)
 
 ## dfs:
-- wrap shap values in pd.DataFrames?
-- wrap predictions in pd.Series?
 
 ## Plots:
 - make plot background transparent?
@@ -32,10 +22,6 @@ the classes_ attribute is to be deprecated from version 0.22 and will be removed
     - https://community.plotly.com/t/announcing-plotly-py-4-12-horizontal-and-vertical-lines-and-rectangles/46783
 - add some of these:
     https://towardsdatascience.com/introducing-shap-decision-plots-52ed3b4a1cba
-- shap dependence plot, sort categorical features by:
-    - alphabet
-    - number of obs
-    - mean abs shap
 
 ### Classifier plots:
 - move predicted and actual to outer layer of ConfusionMatrixComponent
@@ -49,11 +35,7 @@ the classes_ attribute is to be deprecated from version 0.22 and will be removed
 
 
 ## Explainers:
-- add get_X_row() and get_index_list() methods, and implement it throughout the dashboard.
-- minimize pd.DataFrame and np.array size:
-    - astype(float16), pd.category, etc
 - pass n_jobs to pdp_isolate
-- add option drop non-cats
 - add ExtraTrees and GradientBoostingClassifier to tree visualizers
 - add plain language explanations
     - could add an parameter to the` explainer.plot_*` function  `in_words=True` in which 
@@ -61,9 +43,6 @@ the classes_ attribute is to be deprecated from version 0.22 and will be removed
         relationship in the plot.
     - Then add an "in words" button to the components, that show a popup with
         the verbal explanation.
-- rename RandomForestExplainer and XGBExplainer methods into something more logical
-    - Breaking change!
-
 
 ## notebooks:
 
@@ -141,7 +120,6 @@ the classes_ attribute is to be deprecated from version 0.22 and will be removed
 ## Library level:
 - Make example heroku deployment repo
 - Make example heroku ExplainerHub repo
-- hide (prefix '_') to non-public API class methods
 - submit pull request to shap with broken test for 
     https://github.com/slundberg/shap/issues/723
 
diff --git a/explainerdashboard/dashboard_components/decisiontree_components.py b/explainerdashboard/dashboard_components/decisiontree_components.py
index a993c83..40a483b 100644
--- a/explainerdashboard/dashboard_components/decisiontree_components.py
+++ b/explainerdashboard/dashboard_components/decisiontree_components.py
@@ -366,5 +366,5 @@ def component_callbacks(self, app):
         )
         def update_tree_graph(n_clicks, index, highlight, pos_label):
             if n_clicks is not None and index is not None and highlight is not None:
-                return self.explainer.decision_tree_encoded(int(highlight), index)
+                return self.explainer.decisiontree_encoded(int(highlight), index)
             raise PreventUpdate
\ No newline at end of file
diff --git a/explainerdashboard/dashboard_components/overview_components.py b/explainerdashboard/dashboard_components/overview_components.py
index d974fd8..fd0f98a 100644
--- a/explainerdashboard/dashboard_components/overview_components.py
+++ b/explainerdashboard/dashboard_components/overview_components.py
@@ -409,7 +409,7 @@ def layout(self):
                             html.Div([
                                 dbc.Col([
                                         html.Label('Sort categories:', id='pdp-categories-sort-label-'+self.name),
-                                        dbc.Tooltip("How to sort the categories: alphabetically, most common "
+                                        dbc.Tooltip("How to sort the categories: Alphabetically, most common "
                                                     "first (Frequency), or highest mean absolute SHAP value first (Shap impact)", 
                                                     target='pdp-categories-sort-label-'+self.name),
                                         dbc.Select(id='pdp-categories-sort-'+self.name,
diff --git a/explainerdashboard/dashboard_components/regression_components.py b/explainerdashboard/dashboard_components/regression_components.py
index 7a7467f..57ed0a9 100644
--- a/explainerdashboard/dashboard_components/regression_components.py
+++ b/explainerdashboard/dashboard_components/regression_components.py
@@ -482,7 +482,8 @@ def __init__(self, explainer, title="Predicted vs Actual", name=None,
                     subtitle="How close is the predicted value to the observed?",
                     hide_title=False, hide_subtitle=False, 
                     hide_log_x=False, hide_log_y=False,
-                    logs=False, log_x=False, log_y=False, description=None,
+                    logs=False, log_x=False, log_y=False, round=3,
+                    description=None,
                     **kwargs):
         """Shows a plot of predictions vs y.
 
@@ -502,6 +503,8 @@ def __init__(self, explainer, title="Predicted vs Actual", name=None,
             logs (bool, optional): Whether to use log axis. Defaults to False.
             log_x (bool, optional): log only x axis. Defaults to False.
             log_y (bool, optional): log only y axis. Defaults to False.
+            round (int, optional): rounding to apply to float predictions. 
+                Defaults to 3.
             description (str, optional): Tooltip to display when hover over
                 component title. When None default text is shown. 
         """
@@ -580,7 +583,7 @@ def component_callbacks(self, app):
              Input('pred-vs-actual-logy-'+self.name, 'checked')],
         )
         def update_predicted_vs_actual_graph(log_x, log_y):
-            return self.explainer.plot_predicted_vs_actual(log_x=log_x, log_y=log_y)
+            return self.explainer.plot_predicted_vs_actual(log_x=log_x, log_y=log_y, round=self.round)
 
 class ResidualsComponent(ExplainerComponent):
     def __init__(self, explainer, title="Residuals", name=None,
@@ -588,7 +591,7 @@ def __init__(self, explainer, title="Residuals", name=None,
                     hide_title=False, hide_subtitle=False, hide_footer=False,
                     hide_pred_or_actual=False, hide_ratio=False,
                     pred_or_actual="vs_pred", residuals="difference",
-                    description=None, **kwargs):
+                    round=3, description=None, **kwargs):
         """Residuals plot component
 
         Args:
@@ -611,6 +614,8 @@ def __init__(self, explainer, title="Residuals", name=None,
                         Defaults to "vs_pred".
             residuals (str, {'difference', 'ratio', 'log-ratio'} optional): 
                     How to calcualte residuals. Defaults to 'difference'.
+            round (int, optional): rounding to apply to float predictions. 
+                Defaults to 3.
             description (str, optional): Tooltip to display when hover over
                 component title. When None default text is shown. 
         """
@@ -691,7 +696,8 @@ def register_callbacks(self, app):
         )
         def update_residuals_graph(pred_or_actual, residuals):
             vs_actual = pred_or_actual=='vs_actual'
-            return self.explainer.plot_residuals(vs_actual=vs_actual, residuals=residuals)
+            return self.explainer.plot_residuals(vs_actual=vs_actual, 
+                                        residuals=residuals, round=self.round)
 
 
 class RegressionVsColComponent(ExplainerComponent):
@@ -701,7 +707,7 @@ def __init__(self, explainer, title="Plot vs feature", name=None,
                     hide_col=False, hide_ratio=False, 
                     hide_points=False, hide_winsor=False, 
                     hide_cats_topx=False, hide_cats_sort=False,
-                    col=None, display='difference', 
+                    col=None, display='difference', round=3,
                     points=True, winsor=0, cats_topx=10, cats_sort='freq', 
                     description=None, **kwargs):
         """Show residuals, observed or preds vs a particular Feature component
@@ -727,6 +733,8 @@ def __init__(self, explainer, title="Plot vs feature", name=None,
             col ([type], optional): Initial feature to display. Defaults to None.
             display (str, {'observed', 'predicted', difference', 'ratio', 'log-ratio'} optional): 
                     What to display on y axis. Defaults to 'difference'.
+            round (int, optional): rounding to apply to float predictions. 
+                Defaults to 3.
             points (bool, optional): display point cloud next to violin plot 
                     for categorical cols. Defaults to True
             winsor (int, 0-50, optional): percentage of outliers to winsor out of 
@@ -850,7 +858,7 @@ def layout(self):
                         dbc.Col([
                             html.Div([
                                 html.Label('Sort categories:', id='reg-vs-col-categories-sort-label-'+self.name),
-                                dbc.Tooltip("How to sort the categories: alphabetically, most common "
+                                dbc.Tooltip("How to sort the categories: Alphabetically, most common "
                                             "first (Frequency), or highest mean absolute SHAP value first (Shap impact)", 
                                             target='reg-vs-col-categories-sort-label-'+self.name),
                                 dbc.Select(id='reg-vs-col-categories-sort-'+self.name,
@@ -885,16 +893,16 @@ def update_residuals_graph(col, display, points, winsor, topx, sort):
             if display == 'observed':
                 return self.explainer.plot_y_vs_feature(
                         col, points=bool(points), winsor=winsor, dropna=True,
-                        topx=topx, sort=sort), style, style, style
+                        topx=topx, sort=sort, round=self.round), style, style, style
             elif display == 'predicted':
                 return self.explainer.plot_preds_vs_feature(
                         col, points=bool(points), winsor=winsor, dropna=True,
-                        topx=topx, sort=sort), style, style, style
+                        topx=topx, sort=sort, round=self.round), style, style, style
             else:
                 return self.explainer.plot_residuals_vs_feature(
                             col, residuals=display, points=bool(points), 
                             winsor=winsor, dropna=True,
-                        topx=topx, sort=sort), style, style, style
+                        topx=topx, sort=sort, round=self.round), style, style, style
 
 
 class RegressionModelSummaryComponent(ExplainerComponent):
diff --git a/explainerdashboard/dashboard_components/shap_components.py b/explainerdashboard/dashboard_components/shap_components.py
index 520e706..fdcbe23 100644
--- a/explainerdashboard/dashboard_components/shap_components.py
+++ b/explainerdashboard/dashboard_components/shap_components.py
@@ -310,7 +310,7 @@ def layout(self):
                             make_hideable(
                                 dbc.Col([
                                         html.Label('Sort categories:', id='shap-dependence-categories-sort-label-'+self.name),
-                                        dbc.Tooltip("How to sort the categories: alphabetically, most common "
+                                        dbc.Tooltip("How to sort the categories: Alphabetically, most common "
                                                     "first (Frequency), or highest mean absolute SHAP value first (Shap impact)", 
                                                     target='shap-dependence-categories-sort-label-'+self.name),
                                         dbc.Select(id='shap-dependence-categories-sort-'+self.name,
@@ -717,7 +717,7 @@ def layout(self):
                         make_hideable(
                             dbc.Col([
                                     html.Label('Sort categories:', id='interaction-dependence-top-categories-sort-label-'+self.name),
-                                    dbc.Tooltip("How to sort the categories: alphabetically, most common "
+                                    dbc.Tooltip("How to sort the categories: Alphabetically, most common "
                                                 "first (Frequency), or highest mean absolute SHAP value first (Shap impact)", 
                                                 target='interaction-dependence-top-categories-sort-label-'+self.name),
                                     dbc.Select(id='interaction-dependence-top-categories-sort-'+self.name,
@@ -754,7 +754,7 @@ def layout(self):
                         make_hideable(
                             dbc.Col([
                                     html.Label('Sort categories:', id='interaction-dependence-bottom-categories-sort-label-'+self.name),
-                                    dbc.Tooltip("How to sort the categories: alphabetically, most common "
+                                    dbc.Tooltip("How to sort the categories: Alphabetically, most common "
                                                 "first (Frequency), or highest mean absolute SHAP value first (Shap impact)", 
                                                 target='interaction-dependence-bottom-categories-sort-label-'+self.name),
                                     dbc.Select(id='interaction-dependence-bottom-categories-sort-'+self.name,
@@ -1026,11 +1026,13 @@ def update_output_div(index, depth, sort, orientation, pos_label):
                  *self.feature_input_component._feature_callback_inputs])
             def update_output_div(depth, sort, orientation, pos_label, *inputs):
                 depth = None if depth is None else int(depth)
-                X_row = self.explainer.get_row_from_input(inputs, ranked_by_shap=True)
-                plot = self.explainer.plot_shap_contributions(X_row=X_row, 
-                            topx=depth, sort=sort, orientation=orientation, 
-                            pos_label=pos_label, higher_is_better=self.higher_is_better)
-                return plot
+                if not any([i is None for i in inputs]):
+                    X_row = self.explainer.get_row_from_input(inputs, ranked_by_shap=True)
+                    plot = self.explainer.plot_shap_contributions(X_row=X_row, 
+                                topx=depth, sort=sort, orientation=orientation, 
+                                pos_label=pos_label, higher_is_better=self.higher_is_better)
+                    return plot
+                raise PreventUpdate
 
 
 class ShapContributionsTableComponent(ExplainerComponent):
@@ -1190,27 +1192,29 @@ def update_output_div(index, depth, sort, pos_label):
                  Input('pos-label-'+self.name, 'value'),
                  *self.feature_input_component._feature_callback_inputs])
             def update_output_div(depth, sort, pos_label, *inputs):
-                X_row = self.explainer.get_row_from_input(inputs, ranked_by_shap=True)
-                depth = None if depth is None else int(depth)
-                contributions_table = dbc.Table.from_dataframe(
-                    self.explainer.contrib_summary_df(X_row=X_row, topx=depth, 
-                                    sort=sort, pos_label=pos_label))
-
-                tooltip_cols = {}
-                for tr in contributions_table.children[1].children:
-                    # insert tooltip target id's into the table html.Tr() elements:
-                    tds = tr.children
-                    col = tds[0].children.split(" = ")[0]
-                    if self.explainer.description(col) != "":
-                        tr.id = f"contributions-table-hover-{col}-"+self.name
-                        tooltip_cols[col] = self.explainer.description(col)
-                
-                tooltips = [dbc.Tooltip(desc,
-                            target=f"contributions-table-hover-{col}-"+self.name, 
-                            placement="top") for col, desc in tooltip_cols.items()]
-
-                output_div = html.Div([contributions_table, *tooltips])
-                return output_div
+                if not any([i is None for i in inputs]):
+                    X_row = self.explainer.get_row_from_input(inputs, ranked_by_shap=True)
+                    depth = None if depth is None else int(depth)
+                    contributions_table = dbc.Table.from_dataframe(
+                        self.explainer.contrib_summary_df(X_row=X_row, topx=depth, 
+                                        sort=sort, pos_label=pos_label))
+
+                    tooltip_cols = {}
+                    for tr in contributions_table.children[1].children:
+                        # insert tooltip target id's into the table html.Tr() elements:
+                        tds = tr.children
+                        col = tds[0].children.split(" = ")[0]
+                        if self.explainer.description(col) != "":
+                            tr.id = f"contributions-table-hover-{col}-"+self.name
+                            tooltip_cols[col] = self.explainer.description(col)
+                    
+                    tooltips = [dbc.Tooltip(desc,
+                                target=f"contributions-table-hover-{col}-"+self.name, 
+                                placement="top") for col, desc in tooltip_cols.items()]
+
+                    output_div = html.Div([contributions_table, *tooltips])
+                    return output_div
+                raise PreventUpdate
 
 
 
diff --git a/explainerdashboard/dashboard_methods.py b/explainerdashboard/dashboard_methods.py
index d6b8da1..79f652b 100644
--- a/explainerdashboard/dashboard_methods.py
+++ b/explainerdashboard/dashboard_methods.py
@@ -376,7 +376,7 @@ def __init__(self, explainer, title='Pos Label Selector', name=None,
         """
         super().__init__(explainer, title, name)
         if pos_label is not None:
-            self.pos_label = explainer.get_pos_label_index(pos_label)
+            self.pos_label = explainer.pos_label_index(pos_label)
         else:
             self.pos_label = explainer.pos_label
 
diff --git a/explainerdashboard/explainer_plots.py b/explainerdashboard/explainer_plots.py
index d156ca2..abffaac 100644
--- a/explainerdashboard/explainer_plots.py
+++ b/explainerdashboard/explainer_plots.py
@@ -345,8 +345,8 @@ def plotly_precision_plot(precision_df, cutoff=None, labels=None, pos_label=None
     return fig
 
 
-def plotly_classification_plot(pred_probas, targets, labels=None, cutoff=0.5, 
-                                pos_label=1, percentage=False):
+def plotly_classification_plot(pred_probas, targets, labels=None, cutoff=0.5,
+                                round=2, pos_label=1, percentage=False):
     """Displays bar plots showing label distributions above and below cutoff
     value.
 
@@ -356,6 +356,7 @@ def plotly_classification_plot(pred_probas, targets, labels=None, cutoff=0.5,
             (e.g. [0, 1, 1, 0,...,1])
         labels (List[str], optional): List of labels for classes. Defaults to None.
         cutoff (float, optional): Cutoff pred_proba. Defaults to 0.5.
+        round (int, optional): round float by round number of digits. Defaults to 2.
         pos_label (int, optional): Positive label class. Defaults to 1.
         percentage (bool, optional): Display percentage instead of absolute 
             numbers. Defaults to False.
@@ -374,18 +375,15 @@ def plotly_classification_plot(pred_probas, targets, labels=None, cutoff=0.5,
     
     fig = go.Figure()
     for i, label in enumerate(labels):
-        text = [f"<b>{sum(below_threshold[1]==i)}</b><br>({np.round(100*np.mean(below_threshold[1]==i), 1)}%)",
-                f"<b>{sum(above_threshold[1]==i)}</b><br>({np.round(100*np.mean(above_threshold[1]==i), 1)}%)", 
-                f"<b>{sum(targets==i)}</b><br>({np.round(100*np.mean(targets==i), 1)}%)"]
+        text = [f"<b>{sum(below_threshold[1]==i)}</b><br>({100*np.mean(below_threshold[1]==i):.{round}f}%)",
+                f"<b>{sum(above_threshold[1]==i)}</b><br>({100*np.mean(above_threshold[1]==i):.{round}f}%)", 
+                f"<b>{sum(targets==i)}</b><br>({100*np.mean(targets==i):.{round}f}%)"]
         if percentage:
             fig.add_trace(go.Bar(
                 x=x, 
                 y=[100*np.mean(below_threshold[1]==i),
                     100*np.mean(above_threshold[1]==i), 
                     100*np.mean(targets==i)], 
-                # text=[str(np.round(100*np.mean(below_threshold[1]==i), 2)) + '%',
-                #       str(np.round(100*np.mean(above_threshold[1]==i), 2)) + '%', 
-                #       str(np.round(100*np.mean(targets==i), 2)) + '%'],
                 text=text,
                 textposition='auto',
                 hoverinfo="text",
@@ -397,9 +395,6 @@ def plotly_classification_plot(pred_probas, targets, labels=None, cutoff=0.5,
                 y=[sum(below_threshold[1]==i),
                     sum(above_threshold[1]==i), 
                     sum(targets==i)], 
-                # text = [sum(below_threshold[1]==i),
-                #     sum(above_threshold[1]==i), 
-                #     sum(targets==i)], 
                 text=text,
                 textposition='auto',
                 hoverinfo="text",
@@ -434,30 +429,30 @@ def plotly_lift_curve(lift_curve_df, cutoff=None, percentage=False, add_wizard=T
     """
 
     if percentage:
-        model_text=[f"model selected {np.round(pos, round)}% of all positives in first {np.round(i, round)}% sampled<br>" \
-                    + f"precision={np.round(precision, 2)}% positives in sample<br>" \
-                    + f"lift={np.round(pos/exp, 2)}" 
+        model_text=[f"model selected {pos:.{round}f}% of all positives in first {i:.{round}f}% sampled<br>" \
+                    + f"precision={precision:.{round}f}% positives in sample<br>" \
+                    + f"lift={pos/exp:.{round}f}" 
                   for (i, pos, exp, precision) in zip(lift_curve_df.index_percentage, 
                                                       lift_curve_df.cumulative_percentage_pos,
                                                       lift_curve_df.random_cumulative_percentage_pos, 
                                                       lift_curve_df.precision)]
         
-        random_text=[f"random selected {np.round(exp, round)}% of all positives in first {np.round(i, round)}% sampled<br>" \
-                     + f"precision={np.round(precision, 2)}% positives in sample"
+        random_text=[f"random selected {exp:.{round}f}% of all positives in first {i:.{round}f}% sampled<br>" \
+                     + f"precision={precision:.{round}f}% positives in sample"
                   for (i, pos, exp, precision) in zip(lift_curve_df.index_percentage,
                                                       lift_curve_df.cumulative_percentage_pos, 
                                                       lift_curve_df.random_cumulative_percentage_pos, 
                                                       lift_curve_df.random_precision)]
     else:
         model_text=[f"model selected {pos} positives out of {i}<br>" \
-                    + f"precision={np.round(precision, 2)}<br>" \
-                    + f"lift={np.round(pos/exp, 2)}" 
+                    + f"precision={precision:.{round}f}<br>" \
+                    + f"lift={pos/exp:.{round}f}" 
                   for (i, pos, exp, precision) in zip(lift_curve_df['index'], 
                                                       lift_curve_df.positives,
                                                       lift_curve_df.random_pos, 
                                                       lift_curve_df.precision)]
-        random_text=[f"random selected {np.round(exp).astype(int)} positives out of {i}<br>" \
-                     + f"precision={np.round(precision, 2)}"
+        random_text=[f"random selected {int(exp)} positives out of {i}<br>" \
+                     + f"precision={precision:.{round}f}"
                   for (i, pos, exp, precision) in zip(lift_curve_df['index'], 
                                                       lift_curve_df.positives, 
                                                       lift_curve_df.random_pos, 
@@ -549,7 +544,7 @@ def plotly_lift_curve(lift_curve_df, cutoff=None, percentage=False, add_wizard=T
                                         x=cutoff_x, 
                                         y=5, 
                                         yref='y',
-                                        text=f"cutoff={np.round(cutoff,3)}"),
+                                        text=f"cutoff={cutoff:.{round}f}"),
                                     go.layout.Annotation(x=0.5, y=0.4, 
                                         text=f"Model: {cutoff_pos} out {cutoff_n} ({cutoff_precision}%)",
                                         showarrow=False, align="right", 
@@ -572,13 +567,16 @@ def plotly_lift_curve(lift_curve_df, cutoff=None, percentage=False, add_wizard=T
     return fig
 
 
-def plotly_cumulative_precision_plot(lift_curve_df, labels=None, percentile=None, pos_label=1):
+def plotly_cumulative_precision_plot(lift_curve_df, labels=None, percentile=None, 
+                            round=2, pos_label=1):
     """Return cumulative precision plot showing the expected label distribution
     if you cumulatively sample a more and more of the highest predicted samples.
 
     Args:
         lift_curve_df (pd.DataFrame): generated with get_liftcurve_df(...)
         labels (List[str], optional): list of labels for classes. Defaults to None.
+        percentile (float, optional): draw line at percentile, defaults to None
+        round (int, optional): round floats to digits. Defaults to 2.
         pos_label (int, optional): Positive class label. Defaults to 1.
 
     Returns:
@@ -587,7 +585,7 @@ def plotly_cumulative_precision_plot(lift_curve_df, labels=None, percentile=None
     if labels is None:
         labels = ['category ' + str(i) for i in range(lift_curve_df.y.max()+1)]
     fig = go.Figure()
-    text = [f"percentage sampled = top {round(idx_perc,2)}%"
+    text = [f"percentage sampled = top {idx_perc:.{round}f}%"
                 for idx_perc in lift_curve_df['index_percentage'].values]
     fig = fig.add_trace(go.Scatter(x=lift_curve_df.index_percentage, 
                                    y=np.zeros(len(lift_curve_df)),
@@ -595,7 +593,7 @@ def plotly_cumulative_precision_plot(lift_curve_df, labels=None, percentile=None
                                    text=text,
                                    hoverinfo="text")) 
 
-    text = [f"percentage {labels[pos_label]}={round(perc, 2)}%" 
+    text = [f"percentage {labels[pos_label]}={perc:.{round}f}%" 
                 for perc in lift_curve_df['precision_' +str(pos_label)].values]
     fig = fig.add_trace(go.Scatter(x=lift_curve_df.index_percentage, 
                                    y=lift_curve_df['precision_' +str(pos_label)].values, 
@@ -609,7 +607,7 @@ def plotly_cumulative_precision_plot(lift_curve_df, labels=None, percentile=None
         
         if y_label != pos_label:
             cumulative_y = cumulative_y + lift_curve_df['precision_' +str(y_label)].values
-            text = [f"percentage {labels[y_label]}={round(perc, 2)}%" 
+            text = [f"percentage {labels[y_label]}={perc:.{round}f}%" 
                 for perc in lift_curve_df['precision_' +str(y_label)].values]
             fig=fig.add_trace(go.Scatter(x=lift_curve_df.index_percentage, 
                                          y=cumulative_y, 
@@ -622,7 +620,7 @@ def plotly_cumulative_precision_plot(lift_curve_df, labels=None, percentile=None
     for y_label in range(0, pos_label): 
         if y_label != pos_label:
             cumulative_y = cumulative_y + lift_curve_df['precision_' +str(y_label)].values
-            text = [f"percentage {labels[y_label]}={round(perc, 2)}%" 
+            text = [f"percentage {labels[y_label]}={perc:.{round}f}%" 
                 for perc in lift_curve_df['precision_' +str(y_label)].values]
             fig=fig.add_trace(go.Scatter(x=lift_curve_df.index_percentage, 
                                          y=cumulative_y, 
@@ -652,13 +650,13 @@ def plotly_cumulative_precision_plot(lift_curve_df, labels=None, percentile=None
         fig.update_layout(annotations=[
             go.layout.Annotation(x=100*percentile, y=20, 
                                  yref='y', ax=60, 
-                                 text=f"percentile={np.round(100*percentile, 2)}")])  
+                                 text=f"percentile={100*percentile:.{round}f}")])  
     fig.update_xaxes(nticks=10)
     return fig
 
 
 def plotly_dependence_plot(X_col, shap_values, interact_col=None, 
-                            interaction=False, na_fill=-999, round=2, units="", 
+                            interaction=False, na_fill=-999, round=3, units="", 
                             highlight_index=None, idxs=None):
     """Returns a dependence plot showing the relationship between feature col_name
     and shap values for col_name. Do higher values of col_name increase prediction
@@ -710,11 +708,11 @@ def plotly_dependence_plot(X_col, shap_values, interact_col=None,
     
     
     if interact_col is not None:
-        text = np.array([f'{idxs.name}={index}<br>{X_col.name}={col_val}<br>{interact_col.name}={col_col_val}<br>SHAP={shap_val}' 
-                    for index, col_val, col_col_val, shap_val in zip(idxs, X_col, interact_col, np.round(shap_values, round))])
+        text = np.array([f'{idxs.name}={index}<br>{X_col.name}={col_val}<br>{interact_col.name}={col_col_val}<br>SHAP={shap_val:.{round}f}' 
+                    for index, col_val, col_col_val, shap_val in zip(idxs, X_col, interact_col, shap_values)])
     else:
-        text = np.array([f'{idxs.name}={index}<br>{X_col.name}={col_val}<br>SHAP={shap_val}' 
-                    for index, col_val, shap_val in zip(idxs, X_col, np.round(shap_values, round))])  
+        text = np.array([f'{idxs.name}={index}<br>{X_col.name}={col_val}<br>SHAP={shap_val:.{round}f}' 
+                    for index, col_val, shap_val in zip(idxs, X_col, shap_values)])  
         
     data = []
     
@@ -736,11 +734,11 @@ def plotly_dependence_plot(X_col, shap_values, interact_col=None,
                     opacity=0.8,
                     hoverinfo="text",
                     name=onehot_col,
-                    text=[f'{idxs.name}={index}<br>{X_col.name}={col_val}<br>{interact_col.name}={interact_val}<br>SHAP={shap_val}' 
+                    text=[f'{idxs.name}={index}<br>{X_col.name}={col_val}<br>{interact_col.name}={interact_val}<br>SHAP={shap_val:.{round}f}' 
                             for index, col_val, interact_val, shap_val in zip(idxs,
                                 X_col[interact_col==onehot_col], 
                                 interact_col[interact_col==onehot_col], 
-                                np.round(shap_values[interact_col==onehot_col], round))],
+                                shap_values[interact_col==onehot_col])],
                     )
                 )         
     elif interact_col is not None and is_numeric_dtype(interact_col):
@@ -839,7 +837,7 @@ def plotly_dependence_plot(X_col, shap_values, interact_col=None,
 
 
 def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False, 
-        interaction=False, units="", highlight_index=None, idxs=None,
+        interaction=False, units="", highlight_index=None, idxs=None, round=3,
         cats_order=None, max_cat_colors=5):
     """Generates a violin plot for displaying shap value distributions for
     categorical features.
@@ -931,7 +929,7 @@ def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False,
                                 mode='markers',
                                 showlegend=False,
                                 hoverinfo="text",
-                                text = [f"{idxs.name}: {index}<br>shap: {shap}<br>{X_color_col.name}: {col}" 
+                                text = [f"{idxs.name}: {index}<br>shap: {shap:.{round}f}<br>{X_color_col.name}: {col}" 
                                             for index, shap, col in zip(idxs[X_col==cat], 
                                                                         shap_values[X_col == cat], 
                                                                         X_color_col[X_col==cat])],
@@ -959,7 +957,7 @@ def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False,
                                     mode='markers',
                                     showlegend=color_cat in show_legend,
                                     hoverinfo="text",
-                                    text = [f"{idxs.name}: {index}<br>shap: {shap}<br>{X_color_col.name}: {color_cat_name}" 
+                                    text = [f"{idxs.name}: {index}<br>shap: {shap:.{round}f}<br>{X_color_col.name}: {color_cat_name}" 
                                                 for index, shap in zip(
                                                                 idxs[(X_col == cat) & (X_color_col == color_cat)], 
                                                                 shap_values[(X_col == cat) & (X_color_col == color_cat)])],
@@ -978,7 +976,7 @@ def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False,
                                         mode='markers',
                                         showlegend="Category_Other" in show_legend,
                                         hoverinfo="text",
-                                        text = [f"{idxs.name}: {index}<br>shap: {shap}<br>{X_color_col.name}: {col}" 
+                                        text = [f"{idxs.name}: {index}<br>shap: {shap:.{round}f}<br>{X_color_col.name}: {col}" 
                                                     for index, shap, col in zip(
                                                                     idxs[(X_col == cat) & (~X_color_col.isin(color_cats))], 
                                                                     shap_values[(X_col == cat) & (~X_color_col.isin(color_cats))],
@@ -1004,7 +1002,9 @@ def plotly_shap_violin_plot(X_col, shap_values, X_color_col=None, points=False,
                                     opacity=0.6,
                                        color='blue'),
                         ), row=1, col=col+1)
-        if highlight_index is not None and X_col[highlight_idx]==cat:
+        if (highlight_index is not None 
+            and (points or X_color_col is not None) 
+            and X_col[highlight_idx]==cat):
             fig.add_trace(
                 go.Scattergl(
                     x=[0], 
@@ -1168,7 +1168,7 @@ def plotly_pdp(pdp_df,
             go.layout.Annotation(
                 x=pdp_df.columns[int(0.5*len(pdp_df.columns))], 
                 y=index_prediction, 
-                text=f"baseline pred = {str(np.round(index_prediction,round))}")
+                text=f"baseline pred = {index_prediction:.{round}f}")
                 )
 
     fig.update_layout(annotations=annotations)
@@ -1307,13 +1307,14 @@ def plotly_confusion_matrix(y_true, y_preds, labels = None, percentage=True):
     return fig
 
 
-def plotly_roc_auc_curve(true_y, pred_probas, cutoff=None):
+def plotly_roc_auc_curve(true_y, pred_probas, cutoff=None, round=2):
     """Plot ROC AUC curve
 
     Args:
         true_y (np.ndarray): array of true labels
         pred_probas (np.ndarray): array of predicted probabilities
         cutoff (float, optional): Cutoff proba to display. Defaults to None.
+        round (int, optional): rounding of floats. Defaults to 2.
 
     Returns:
         Plotly Fig: 
@@ -1323,7 +1324,7 @@ def plotly_roc_auc_curve(true_y, pred_probas, cutoff=None):
     trace0 = go.Scatter(x=fpr, y=tpr,
                     mode='lines',
                     name='ROC AUC CURVE',
-                    text=[f"threshold: {np.round(th,2)} <br> FP: {np.round(fp,2)} <br> TP: {np.round(tp,2)}" 
+                    text=[f"threshold: {th:.{round}f} <br> FP: {fp:.{round}f} <br> TP: {tp:.{round}f}" 
                               for fp, tp, th in zip(fpr, tpr, thresholds)],
                     hoverinfo="text"
                 )
@@ -1366,27 +1367,27 @@ def plotly_roc_auc_curve(true_y, pred_probas, cutoff=None):
                                     output_dict=True)
         
         annotations = [go.layout.Annotation(x=0.6, y=0.45, 
-                            text=f"Cutoff: {np.round(cutoff,3)}",
+                            text=f"Cutoff: {cutoff:.{round}f}",
                             showarrow=False, align="right", 
                             xanchor='left', yanchor='top'),
                        go.layout.Annotation(x=0.6, y=0.4, 
-                            text=f"Accuracy: {np.round(rep['accuracy'],3)}",
+                            text=f"Accuracy: {rep['accuracy']:.{round}f}",
                             showarrow=False, align="right", 
                             xanchor='left', yanchor='top'),
                        go.layout.Annotation(x=0.6, y=0.35, 
-                            text=f"Precision: {np.round(rep['1']['precision'], 3)}",
+                            text=f"Precision: {rep['1']['precision']:.{round}f}",
                             showarrow=False, align="right", 
                             xanchor='left', yanchor='top'),
                        go.layout.Annotation(x=0.6, y=0.30, 
-                            text=f"Recall: {np.round(rep['1']['recall'], 3)}",
+                            text=f"Recall: {rep['1']['recall']:.{round}f}",
                             showarrow=False, align="right", 
                             xanchor='left', yanchor='top'),
                        go.layout.Annotation(x=0.6, y=0.25, 
-                            text=f"F1-score: {np.round(rep['1']['f1-score'], 3)}",
+                            text=f"F1-score: {rep['1']['f1-score']:.{round}f}",
                             showarrow=False, align="right", 
                             xanchor='left', yanchor='top'),
                        go.layout.Annotation(x=0.6, y=0.20, 
-                            text=f"roc-auc-score: {np.round(roc_auc, 3)}",
+                            text=f"roc-auc-score: {roc_auc:.{round}f}",
                             showarrow=False, align="right", 
                             xanchor='left', yanchor='top'),]
         fig.update_layout(annotations=annotations)
@@ -1395,13 +1396,14 @@ def plotly_roc_auc_curve(true_y, pred_probas, cutoff=None):
     return fig
 
 
-def plotly_pr_auc_curve(true_y, pred_probas, cutoff=None):
+def plotly_pr_auc_curve(true_y, pred_probas, cutoff=None, round=2):
     """Generate Precision-Recall Area Under Curve plot
 
     Args:
         true_y (np.ndarray): array of tru labels
         pred_probas (np.ndarray): array of predicted probabilities
         cutoff (float, optional): model cutoff to display in graph. Defaults to None.
+        round (int, optional): rounding to apply to floats. Defaults to 2.
 
     Returns:
         Plotly fig: 
@@ -1411,9 +1413,9 @@ def plotly_pr_auc_curve(true_y, pred_probas, cutoff=None):
     trace0 = go.Scatter(x=precision, y=recall,
                     mode='lines',
                     name='PR AUC CURVE',
-                    text=[f"threshold: {np.round(th,2)} <br>" +\
-                          f"precision: {np.round(p,2)} <br>" +\
-                          f"recall: {np.round(r,2)}" 
+                    text=[f"threshold: {th:.{round}f} <br>" +\
+                          f"precision: {p:.{round}f} <br>" +\
+                          f"recall: {r:.{round}f}" 
                             for p, r, th in zip(precision, recall, thresholds)],
                     hoverinfo="text"
                 )
@@ -1447,27 +1449,27 @@ def plotly_pr_auc_curve(true_y, pred_probas, cutoff=None):
                     output_dict=True)
         
         annotations = [go.layout.Annotation(x=0.15, y=0.45, 
-                            text=f"Cutoff: {np.round(cutoff,3)}",
+                            text=f"Cutoff: {cutoff:.{round}f}",
                             showarrow=False, align="right", 
                             xanchor='left', yanchor='top'),
                        go.layout.Annotation(x=0.15, y=0.4, 
-                            text=f"Accuracy: {np.round(report['accuracy'],3)}",
+                            text=f"Accuracy: {report['accuracy']:.{round}f}",
                             showarrow=False, align="right", 
                             xanchor='left', yanchor='top'),
                        go.layout.Annotation(x=0.15, y=0.35, 
-                            text=f"Precision: {np.round(report['1']['precision'], 3)}",
+                            text=f"Precision: {report['1']['precision']:.{round}f}",
                             showarrow=False, align="right", 
                             xanchor='left', yanchor='top'),
                        go.layout.Annotation(x=0.15, y=0.30, 
-                            text=f"Recall: {np.round(report['1']['recall'], 3)}",
+                            text=f"Recall: {report['1']['recall']:.{round}f}",
                             showarrow=False, align="right", 
                             xanchor='left', yanchor='top'),
                        go.layout.Annotation(x=0.15, y=0.25, 
-                            text=f"F1-score: {np.round(report['1']['f1-score'], 3)}",
+                            text=f"F1-score: {report['1']['f1-score']:.{round}f}",
                             showarrow=False, align="right", 
                             xanchor='left', yanchor='top'),
                        go.layout.Annotation(x=0.15, y=0.20, 
-                            text=f"pr-auc-score: {np.round(pr_auc_score, 3)}",
+                            text=f"pr-auc-score: {pr_auc_score:.{round}f}",
                             showarrow=False, align="right", 
                             xanchor='left', yanchor='top'),]
         fig.update_layout(annotations=annotations)
@@ -1557,7 +1559,7 @@ def plotly_shap_scatter_plot(X, shap_values_df, display_columns=None, title="Sha
                             showlegend=False,
                             opacity=0.8,
                             hoverinfo="text",
-                            text=[f"{index_name}={i}<br>{col}={value}<br>shap={np.round(shap,3)}" 
+                            text=[f"{index_name}={i}<br>{col}={value}<br>shap={shap:.{round}f}" 
                               for i, shap, value in zip(idxs, shap_values_df[col], X[col].replace({na_fill:np.nan}))],
                             ),
                      row=i+1, col=1);
@@ -1583,7 +1585,7 @@ def plotly_shap_scatter_plot(X, shap_values_df, display_columns=None, title="Sha
                                 showlegend=False,
                                 opacity=0.8,
                                 hoverinfo="text",
-                                text=[f"{index_name}={i}<br>{col}={cat}<br>shap={np.round(shap,3)}" 
+                                text=[f"{index_name}={i}<br>{col}={cat}<br>shap={shap:.{round}f}" 
                                       for i, shap in zip(idxs[X[col]==cat], 
                                             shap_values_df[col][X[col]==cat])],
                                 ),
@@ -1603,7 +1605,7 @@ def plotly_shap_scatter_plot(X, shap_values_df, display_columns=None, title="Sha
                                 showlegend=False,
                                 opacity=0.8,
                                 hoverinfo="text",
-                                text=[f"{index_name}={i}<br>{col}={col_val}<br>shap={np.round(shap,3)}" 
+                                text=[f"{index_name}={i}<br>{col}={col_val}<br>shap={shap:.{round}f}" 
                                       for i, shap, col_val in zip(idxs[~X[col].isin(color_cats)], 
                                                               shap_values_df[col][~X[col].isin(color_cats)],
                                                               X[col][~X[col].isin(color_cats)])],
@@ -1626,7 +1628,7 @@ def plotly_shap_scatter_plot(X, shap_values_df, display_columns=None, title="Sha
                     )
                 ),
                 name = f"{index_name} {highlight_index}",
-                text=f"index={highlight_index}<br>{col}={X[col].iloc[highlight_idx]}<br>shap={shap_values_df[col].iloc[highlight_idx]}",
+                text=f"index={highlight_index}<br>{col}={X[col].iloc[highlight_idx]}<br>shap={shap_values_df[col].iloc[highlight_idx]:.{round}f}",
                 hoverinfo="text",
                 showlegend=False,
             ), row=i+1, col=1)
@@ -1676,10 +1678,8 @@ def plotly_predicted_vs_actual(y, preds, target="" , units="", round=2,
     else:
         idxs = [str(i) for i in range(len(preds))]
         
-    marker_text=[f"{index_name}: {idx}<br>Observed: {actual}<br>Prediction: {pred}" 
-                  for idx, actual, pred in zip(idxs, 
-                                                np.round(y, round), 
-                                                np.round(preds, round))] 
+    marker_text=[f"{index_name}: {idx}<br>Observed: {actual:.{round}f}<br>Prediction: {pred:.{round}f}" 
+                  for idx, actual, pred in zip(idxs, y, preds)] 
     
     trace0 = go.Scattergl(
         x = y,
@@ -1761,11 +1761,8 @@ def plotly_plot_residuals(y, preds, vs_actual=False, target="", units="",
         raise ValueError(f"parameter residuals should be in ['difference', "
                         f"'ratio', 'log-ratio'] but is equal to {residuals}!")
         
-    residuals_text=[f"{index_name}: {idx}<br>Observed: {actual}<br>Prediction: {pred}<br>Residual: {residual}" 
-                  for idx, actual, pred, residual in zip(idxs, 
-                                                    np.round(y, round), 
-                                                    np.round(preds, round), 
-                                                    np.round(res, round))] 
+    residuals_text=[f"{index_name}: {idx}<br>Observed: {actual:.{round}f}<br>Prediction: {pred:.{round}f}<br>Residual: {residual:.{round}f}" 
+                  for idx, actual, pred, residual in zip(idxs, y, preds, res)] 
     trace0 = go.Scattergl(
         x=y if vs_actual else preds, 
         y=residuals_display, 
@@ -1861,11 +1858,8 @@ def plotly_residuals_vs_col(y, preds, col, col_name=None, residuals='difference'
         raise ValueError(f"parameter residuals should be in ['difference', "
                         f"'ratio', 'log-ratio'] but is equal to {residuals}!")
 
-    residuals_text=[f"{index_name}: {idx}<br>Actual: {actual}<br>Prediction: {pred}<br>Residual: {residual}" 
-                  for idx, actual, pred, residual in zip(idxs, 
-                                                    np.round(y, round), 
-                                                    np.round(preds, round), 
-                                                    np.round(res, round))] 
+    residuals_text=[f"{index_name}: {idx}<br>Actual: {actual:.{round}f}<br>Prediction: {pred:.{round}f}<br>Residual: {residual:.{round}f}" 
+                  for idx, actual, pred, residual in zip(idxs, y, preds, res)] 
     
     if not is_numeric_dtype(col):
         if cats_order is None:
@@ -1995,10 +1989,8 @@ def plotly_actual_vs_col(y, preds, col, col_name=None,
         idxs = [str(i) for i in range(len(preds))]
         
 
-    y_text=[f"{index_name}: {idx}<br>Observed {target}: {actual}<br>Prediction: {pred}" 
-                  for idx, actual, pred in zip(idxs, 
-                                                    np.round(y, round), 
-                                                    np.round(preds, round))] 
+    y_text=[f"{index_name}: {idx}<br>Observed {target}: {actual:.{round}f}<br>Prediction: {pred:.{round}f}" 
+                  for idx, actual, pred in zip(idxs, y, preds)] 
     
     if not is_numeric_dtype(col):
         if cats_order is None:
@@ -2121,8 +2113,8 @@ def plotly_preds_vs_col(y, preds, col, col_name=None,
         idxs = [str(i) for i in range(len(preds))]
         
 
-    preds_text=[f"{index_name}: {idx}<br>Predicted {target}: {pred}{units}<br>Observed {target}: {actual}{units}" 
-                  for idx, actual, pred in zip(idxs,np.round(y, round), np.round(preds, round))] 
+    preds_text=[f"{index_name}: {idx}<br>Predicted {target}: {pred:.{round}f}{units}<br>Observed {target}: {actual:.{round}f}{units}" 
+                  for idx, actual, pred in zip(idxs, y, preds)] 
     
     if not is_numeric_dtype(col):
         if cats_order is None:
@@ -2290,7 +2282,7 @@ def plotly_rf_trees(model, observation, y=None, highlight_tree=None,
     annotations = [go.layout.Annotation(
         x=1.2*preds_df.model.mean(), 
         y=preds_df.prediction.mean(),
-        text=f"Average prediction = {np.round(preds_df.prediction.mean(),2)}",
+        text=f"Average prediction = {preds_df.prediction.mean():.{round}f}",
         bgcolor="lightgrey",
         arrowcolor="lightgrey",
         startstandoff=0)]
@@ -2357,10 +2349,10 @@ def plotly_xgboost_trees(xgboost_preds_df, highlight_tree=None, y=None, round=2,
         bases = xgboost_preds_df.pred_proba.values[:-1]
         diffs = xgboost_preds_df.pred_proba_diff.values[1:]
         
-        texts=[f"tree no {t}:<br>change = {np.round(100*d, round)}%<br> click for detailed info"
+        texts=[f"tree no {t}:<br>change = {100*d:.{round}f}%<br> click for detailed info"
                              for (t, d) in zip(trees, diffs)]
-        texts.insert(0, f"Base prediction: <br>proba = {np.round(100*base_prediction, round)}%")
-        texts.append(f"Final Prediction: <br>proba = {np.round(100*final_prediction, round)}%")
+        texts.insert(0, f"Base prediction: <br>proba = {100*base_prediction:.{round}f}%")
+        texts.append(f"Final Prediction: <br>proba = {100*final_prediction:.{round}f}%")
     else:
         final_prediction = xgboost_preds_df.pred.values[-1]
         base_prediction = xgboost_preds_df.pred.values[0]
@@ -2368,10 +2360,10 @@ def plotly_xgboost_trees(xgboost_preds_df, highlight_tree=None, y=None, round=2,
         bases = xgboost_preds_df.pred.values[:-1]
         diffs = xgboost_preds_df.pred_diff.values[1:]
         
-        texts=[f"tree no {t}:<br>change = {np.round(d, round)}<br> click for detailed info"
+        texts=[f"tree no {t}:<br>change = {d:.{round}f}<br> click for detailed info"
                              for (t, d) in zip(trees, diffs)]
-        texts.insert(0, f"Base prediction: <br>pred = {np.round(base_prediction, round)}")
-        texts.append(f"Final Prediction: <br>pred = {np.round(final_prediction, round)}")
+        texts.insert(0, f"Base prediction: <br>pred = {base_prediction:.{round}f}")
+        texts.append(f"Final Prediction: <br>pred = {final_prediction:.{round}f}")
         
     green_fill, green_line =  'rgba(50, 200, 50, 1.0)', 'rgba(40, 160, 50, 1.0)'
     yellow_fill, yellow_line = 'rgba(230, 230, 30, 1.0)', 'rgba(190, 190, 30, 1.0)'
diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index 214827f..0141ef6 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -38,23 +38,24 @@
 def insert_pos_label(func):
     """decorator to insert pos_label=self.pos_label into method call when pos_label=None"""
     def inner(self, *args, **kwargs):
+        if not self.is_classifier:
+            return func(self, *args, **kwargs)
         if 'pos_label' in kwargs:
             if kwargs['pos_label'] is not None:
+                kwargs.update(dict(pos_label=self.pos_label_index(kwargs['pos_label'])))
                 return func(self, *args, **kwargs)
             else:   
                 kwargs.update(dict(pos_label=self.pos_label))
                 return func(self, *args, **kwargs)
-        argspec = inspect.getfullargspec(func).args 
-        assert 'pos_label' in argspec, \
-            f"Method {func} does not take pos_label as a parameter!"
-        index = argspec.index('pos_label')
-        kwargs = kwargs or {}
-        if len(args) < index or args[index-1] is None:
-            kwargs.update(dict(zip(argspec[1:], args)))
-            kwargs.update(dict(pos_label=self.pos_label))
-            return func(self, **kwargs)
+        kwargs.update(dict(zip(inspect.getfullargspec(func).args[1:1+len(args)], args)))
+        if 'pos_label' in kwargs:
+            if kwargs['pos_label'] is not None:
+                kwargs.update(dict(pos_label=self.pos_label_index(kwargs['pos_label'])))
+            else:   
+                kwargs.update(dict(pos_label=self.pos_label))
         else:
-            return func(self, *args, **kwargs) 
+            kwargs.update(dict(pos_label=self.pos_label))   
+        return func(self, **kwargs)
     return inner
 
 class BaseExplainer(ABC):
@@ -111,10 +112,17 @@ def __init__(self, model, X, y=None, permutation_metric=r2_score,
             permutation_cv=n_jobs, na_fill=na_fill, precision=precision)
 
         if isinstance(model, Pipeline):
-            self.X, self.model = split_pipeline(model, X)
-            self.X_background, _ = split_pipeline(model, X_background, verbose=0)
+            self.X, self.model = split_pipeline(model, X.copy())
+            if X_background is not None:
+                self.X_background, _ = split_pipeline(model, X_background.copy())
+            else:
+                self.X_background = None
         else:
-            self.X, self.X_background = X, X_background
+            self.X = X.copy()
+            if X_background is not None:
+                self.X_background = X_background.copy() 
+            else:
+                self.X_background = None
             self.model = model
 
         if safe_isinstance(model, "xgboost.core.Booster"):
@@ -640,7 +648,7 @@ def get_col(self, col):
         else:
             return self.X[col]
 
-        
+    @insert_pos_label
     def get_col_value_plus_prediction(self, col, index=None, X_row=None, pos_label=None):
         """return value of col and prediction for either index or X_row
 
@@ -684,7 +692,7 @@ def get_col_value_plus_prediction(self, col, index=None, X_row=None, pos_label=N
         else:
             raise ValueError("You need to pass either index or X_row!")
 
-
+    @insert_pos_label          
     def permutation_importances(self, pos_label=None):
         """Permutation importances """
         if not hasattr(self, '_perm_imps'):
@@ -710,6 +718,7 @@ def X_cats(self):
     def X_merged(self):
         return self.X.merge(self.X_cats, left_index=True, right_index=True)[self.merged_cols]
 
+    @insert_pos_label
     def shap_base_value(self, pos_label=None):
         """the intercept for the shap values.
         
@@ -725,6 +734,7 @@ def shap_base_value(self, pos_label=None):
                 self._shap_base_value = self._shap_base_value.item()
         return self._shap_base_value
 
+    @insert_pos_label
     def shap_values_df(self, pos_label=None):
         """SHAP values calculated using the shap library"""
         if not hasattr(self, '_shap_values_df'):
@@ -735,6 +745,7 @@ def shap_values_df(self, pos_label=None):
                     self._shap_values_df, self.onehot_dict, self.merged_cols).astype(self.precision)
         return self._shap_values_df
     
+    @insert_pos_label
     def shap_interaction_values(self, pos_label=None):
         """SHAP interaction values calculated using shap library"""
         assert self.shap != 'linear', \
@@ -756,9 +767,10 @@ def shap_interaction_values(self, pos_label=None):
                     self.onehot_dict).astype(self.precision)
         return self._shap_interaction_values
 
+    @insert_pos_label
     def mean_abs_shap_df(self, pos_label=None):
         """Mean absolute SHAP values per feature."""
-        if not hasattr(self, '_mean_abs_shap'):
+        if not hasattr(self, '_mean_abs_shap_df'):
             self._mean_abs_shap_df = (self.shap_values_df(pos_label)[self.merged_cols].abs().mean()
                     .sort_values(ascending=False)
                     .to_frame().rename_axis(index="Feature").reset_index()
@@ -839,6 +851,7 @@ def metrics(self, *args, **kwargs):
         """
         return {}
     
+    @insert_pos_label
     def get_mean_abs_shap_df(self, topx=None, cutoff=None, pos_label=None):
         """sorted dataframe with mean_abs_shap
         
@@ -861,6 +874,7 @@ def get_mean_abs_shap_df(self, topx=None, cutoff=None, pos_label=None):
         if cutoff is None: cutoff = shap_df['MEAN_ABS_SHAP'].min()
         return (shap_df[shap_df['MEAN_ABS_SHAP'] >= cutoff].head(topx))
 
+    @insert_pos_label
     def top_shap_interactions(self, col, topx=None, pos_label=None):
         """returns the features that interact with feature col in descending order.
         
@@ -891,6 +905,7 @@ def top_shap_interactions(self, col, topx=None, pos_label=None):
         else:
             return top_interactions[:topx]
 
+    @insert_pos_label
     def shap_interaction_values_for_col(self, col, interact_col=None, pos_label=None):
         """returns the shap interaction values[np.array(N,N)] for feature col
 
@@ -910,6 +925,7 @@ def shap_interaction_values_for_col(self, col, interact_col=None, pos_label=None
             return self.shap_interaction_values(pos_label)[
                 :, self.merged_cols.get_loc(col), self.merged_cols.get_loc(interact_col)]
 
+    @insert_pos_label
     def get_permutation_importances_df(self, topx=None, cutoff=None, pos_label=None):
         """dataframe with features ordered by permutation importance.
         
@@ -934,6 +950,7 @@ def get_permutation_importances_df(self, topx=None, cutoff=None, pos_label=None)
         if cutoff is None: cutoff = importance_df.Importance.min()
         return importance_df[importance_df.Importance >= cutoff].head(topx)
 
+    @insert_pos_label
     def get_importances_df(self, kind="shap", topx=None, cutoff=None, pos_label=None):
         """wrapper function for get_mean_abs_shap_df() and get_permutation_importance_df()
 
@@ -954,6 +971,7 @@ def get_importances_df(self, kind="shap", topx=None, cutoff=None, pos_label=None
         elif kind=='shap':
             return self.get_mean_abs_shap_df(topx, cutoff, pos_label)
 
+    @insert_pos_label
     def contrib_df(self, index=None, X_row=None, topx=None, cutoff=None, 
                     sort='abs', pos_label=None):
         """shap value contributions to the prediction for index.
@@ -978,9 +996,6 @@ def contrib_df(self, index=None, X_row=None, topx=None, cutoff=None,
           pd.DataFrame: contrib_df
 
         """
-        if pos_label is None:
-            pos_label = self.pos_label
-
         if sort =='importance':
             if cutoff is None:
                 cols = self.columns_ranked_by_shap()
@@ -1005,7 +1020,7 @@ def contrib_df(self, index=None, X_row=None, topx=None, cutoff=None,
             if self.is_classifier:
                 if not isinstance(shap_values, list) and len(self.labels)==2:
                     shap_values = [-shap_values, shap_values]
-                shap_values = shap_values[self.get_pos_label_index(pos_label)]
+                shap_values = shap_values[pos_label]
             shap_values_df = pd.DataFrame(shap_values, columns=self.columns)
 
             shap_values_df = merge_categorical_shap_values(shap_values_df, 
@@ -1017,6 +1032,7 @@ def contrib_df(self, index=None, X_row=None, topx=None, cutoff=None,
         else:
             raise ValueError("Either index or X_row should be passed!")
 
+    @insert_pos_label
     def contrib_summary_df(self, index=None, X_row=None, topx=None, cutoff=None, 
                             round=2, sort='abs', pos_label=None):
         """Takes a contrib_df, and formats it to a more human readable format
@@ -1041,6 +1057,7 @@ def contrib_summary_df(self, index=None, X_row=None, topx=None, cutoff=None,
         return get_contrib_summary_df(contrib_df, model_output=self.model_output, 
                         round=round, units=self.units, na_fill=self.na_fill)
 
+    @insert_pos_label
     def interactions_df(self, col, topx=None, cutoff=None, 
                             pos_label=None):
         """dataframe of mean absolute shap interaction values for col
@@ -1056,12 +1073,13 @@ def interactions_df(self, col, topx=None, cutoff=None,
 
         """
         importance_df = get_mean_absolute_shap_df(self.merged_cols, 
-            self.shap_interaction_values_for_col(col, pos_label))
+            self.shap_interaction_values_for_col(col, pos_label=pos_label))
 
         if topx is None: topx = len(importance_df)
         if cutoff is None: cutoff = importance_df['MEAN_ABS_SHAP'].min()
         return importance_df[importance_df['MEAN_ABS_SHAP'] >= cutoff].head(topx)
 
+    @insert_pos_label
     def pdp_df(self, col, index=None, X_row=None, drop_na=True, sample=500, 
                     n_grid_points=10, pos_label=None, sort='freq'):
         """Return a pdp_df for generating partial dependence plots.
@@ -1111,25 +1129,23 @@ def pdp_df(self, col, index=None, X_row=None, drop_na=True, sample=500,
                 if val not in grid_values:
                     grid_values = np.append(grid_values, val).sort()
 
-        if pos_label is None: 
-            pos_label = self.pos_label
-
         if index is not None:
-            index = self.get_index(index)
-            if isinstance(features, str) and drop_na: # regular col, not onehotencoded
-                sample_size=min(sample, len(self.X[(self.X[features] != self.na_fill)])-1)
-                sampleX = pd.concat([
-                    self.X[self.X.index==index],
-                    self.X[(self.X.index != index) & (self.X[features] != self.na_fill)]\
-                            .sample(sample_size)],
-                    ignore_index=True, axis=0)
-            else:
-                sample_size = min(sample, len(self.X)-1)
-                sampleX = pd.concat([
-                    self.X[self.X.index==index],
-                    self.X[(self.X.index!=index)].sample(sample_size)],
-                    ignore_index=True, axis=0)
-        elif X_row is not None:
+            X_row = self.get_X_row(index)
+            # index = self.get_index(index)
+            # if isinstance(features, str) and drop_na: # regular col, not onehotencoded
+            #     sample_size=min(sample, len(self.X[(self.X[features] != self.na_fill)])-1)
+            #     sampleX = pd.concat([
+            #         self.X[self.X.index==index],
+            #         self.X[(self.X.index != index) & (self.X[features] != self.na_fill)]\
+            #                 .sample(sample_size)],
+            #         ignore_index=True, axis=0)
+            # else:
+            #     sample_size = min(sample, len(self.X)-1)
+            #     sampleX = pd.concat([
+            #         self.X[self.X.index==index],
+            #         self.X[(self.X.index!=index)].sample(sample_size)],
+            #         ignore_index=True, axis=0)
+        if X_row is not None:
             if matching_cols(X_row.columns, self.merged_cols):
                 X_row = X_cats_to_X(X_row, self.onehot_dict, self.X.columns)    
             else:
@@ -1168,6 +1184,7 @@ def pdp_df(self, col, index=None, X_row=None, drop_na=True, sample=500,
             pdp_df = pdp_df.multiply(100)
         return pdp_df
 
+    @insert_pos_label
     def plot_importances(self, kind='shap', topx=None,  round=3, pos_label=None):
         """plot barchart of importances in descending order.
 
@@ -1200,7 +1217,7 @@ def plot_importances(self, kind='shap', topx=None,  round=3, pos_label=None):
         else:
             return plotly_importances_plot(importances_df, round=round, units=units, title=title)
 
-
+    @insert_pos_label
     def plot_interactions(self, col, topx=None, pos_label=None):
         """plot mean absolute shap interaction value for col.
 
@@ -1213,10 +1230,11 @@ def plot_interactions(self, col, topx=None, pos_label=None):
           plotly.fig: fig
 
         """
-        interactions_df = self.interactions_df(col,topx=topx, pos_label=pos_label)
+        interactions_df = self.interactions_df(col, topx=topx, pos_label=pos_label)
         title = f"Average interaction shap values for {col}"
         return plotly_importances_plot(interactions_df, units=self.units, title=title)
 
+    @insert_pos_label
     def plot_shap_contributions(self, index=None, X_row=None, topx=None, cutoff=None, 
                         sort='abs', orientation='vertical', higher_is_better=True,
                         round=2, pos_label=None):
@@ -1254,6 +1272,7 @@ def plot_shap_contributions(self, index=None, X_row=None, topx=None, cutoff=None
                     orientation=orientation, round=round, higher_is_better=higher_is_better,
                     target=self.target, units=self.units)
 
+    @insert_pos_label
     def plot_shap_summary(self, index=None, topx=None, max_cat_colors=5, pos_label=None):
         """Plot barchart of mean absolute shap value.
         
@@ -1273,9 +1292,7 @@ def plot_shap_summary(self, index=None, topx=None, max_cat_colors=5, pos_label=N
 
         """
         if self.is_classifier:
-            if pos_label is None:
-                pos_label = self.pos_label
-            pos_label_str = self.labels[self.get_pos_label_index(pos_label)]
+            pos_label_str = self.labels[pos_label]
             if self.model_output == 'probability':
                 if self.target:
                     title = f"Impact of feature on predicted probability {self.target}={pos_label_str} <br> (SHAP values)"
@@ -1302,6 +1319,7 @@ def plot_shap_summary(self, index=None, topx=None, max_cat_colors=5, pos_label=N
                                 na_fill=self.na_fill,
                                 max_cat_colors=max_cat_colors)
 
+    @insert_pos_label
     def plot_shap_interaction_summary(self, col, index=None, topx=None, 
                                         max_cat_colors=5, pos_label=None):
         """Plot barchart of mean absolute shap interaction values
@@ -1330,9 +1348,10 @@ def plot_shap_interaction_summary(self, col, index=None, topx=None,
                 idxs=self.idxs, highlight_index=index, na_fill=self.na_fill,
                 max_cat_colors=max_cat_colors)
 
+    @insert_pos_label
     def plot_shap_dependence(self, col, color_col=None, highlight_index=None, 
                                 topx=None, sort='alphabet', max_cat_colors=5, 
-                                pos_label=None):
+                                round=3, pos_label=None):
         """plot shap dependence
         
         Plots a shap dependence plot:
@@ -1369,6 +1388,7 @@ def plot_shap_dependence(self, col, color_col=None, highlight_index=None,
                             X_color_col, 
                             highlight_index=highlight_index,
                             idxs=self.idxs,
+                            round=round,
                             cats_order=self.ordered_cats(col, topx, sort),
                             max_cat_colors=max_cat_colors)
         else:
@@ -1379,8 +1399,10 @@ def plot_shap_dependence(self, col, color_col=None, highlight_index=None,
                         na_fill=self.na_fill, 
                         units=self.units, 
                         highlight_index=highlight_index,
-                        idxs=self.idxs)
+                        idxs=self.idxs,
+                        round=round)
 
+    @insert_pos_label
     def plot_shap_interaction(self, col, interact_col, highlight_index=None, 
                                 topx=10, sort='alphabet', max_cat_colors=5, 
                                 pos_label=None):
@@ -1419,7 +1441,7 @@ def plot_shap_interaction(self, col, interact_col, highlight_index=None,
                 interaction=True, units=self.units,
                 highlight_index=highlight_index, idxs=self.idxs)
             
-
+    @insert_pos_label
     def plot_pdp(self, col, index=None, X_row=None, drop_na=True, sample=100,
                     gridlines=100, gridpoints=10, sort='freq', round=2,
                     pos_label=None):
@@ -1512,7 +1534,7 @@ def __init__(self, model,  X, y=None,  permutation_metric=roc_auc_score,
 
         self._params_dict = {**self._params_dict, **dict(
             labels=labels, pos_label=pos_label)}
-
+        self.y = self.y.astype("int16")
         if self.categorical_cols and model_output == 'probability':
             print("Warning: Models that deal with categorical features directly "
                 f"such as {self.model.__class__.__name__} are incompatible with model_output='probability'"
@@ -1625,10 +1647,10 @@ def pos_label(self):
 
     @pos_label.setter
     def pos_label(self, label):
-        if label is None or isinstance(label, int) and label >=0 and label <len(self.labels):
+        if label is None or (isinstance(label, int) and label >=0 and label <len(self.labels)):
             self._pos_label = label
         elif isinstance(label, str) and label in self.labels:
-            self._pos_label = self.labels.index(label)
+            self._pos_label = pos_label_index(label)
         else:
             raise ValueError(f"'{label}' not in labels")
 
@@ -1637,7 +1659,7 @@ def pos_label_str(self):
         """return str label of self.pos_label"""
         return self.labels[self.pos_label]
 
-    def get_pos_label_index(self, pos_label):
+    def pos_label_index(self, pos_label):
         """return int index of pos_label_str"""
         if isinstance(pos_label, int):
             assert pos_label <= len(self.labels), \
@@ -1649,24 +1671,24 @@ def get_pos_label_index(self, pos_label):
             return self.labels.index(pos_label)
         raise ValueError("pos_label should either be int or str in self.labels!")
 
-    def get_prop_for_label(self, prop:str, label):
-        """return property for a specific pos_label
+    # def get_prop_for_label(self, prop:str, label):
+    #     """return property for a specific pos_label
 
-        Args:
-          prop: property to get for a certain pos_label
-          label: pos_label
+    #     Args:
+    #       prop: property to get for a certain pos_label
+    #       label: pos_label
 
-        Returns:
-            property
-        """
-        tmp = self.pos_label
-        self.pos_label = label
-        ret = getattr(self, prop)
-        self.pos_label = tmp
-        return ret
+    #     Returns:
+    #         property
+    #     """
+    #     tmp = self.pos_label
+    #     self.pos_label = label
+    #     ret = getattr(self, prop)
+    #     self.pos_label = tmp
+    #     return ret
 
-    @property
-    def y_binary(self):
+    @insert_pos_label
+    def y_binary(self, pos_label):
         """for multiclass problems returns one-vs-rest array of [1,0] pos_label"""
         if not hasattr(self, '_y_binaries'):
             if not self.y_missing:
@@ -1674,7 +1696,7 @@ def y_binary(self):
                             for i in range(self.y.nunique())]
             else:
                 self._y_binaries = [self.y.values for i in range(len(self.labels))]
-        return default_list(self._y_binaries, self.pos_label)
+        return self._y_binaries[pos_label]
 
     @property
     def pred_probas_raw(self):
@@ -1697,50 +1719,35 @@ def pred_percentiles_raw(self):
                                 .values)
         return self._pred_percentiles_raw
 
-    @property
-    def pred_probas(self):
+    @insert_pos_label
+    def pred_probas(self, pos_label=None):
         """returns pred_proba for pos_label class"""
-        return default_2darray(self.pred_probas_raw, self.pos_label)
+        return self.pred_probas_raw[:, pos_label]
 
-    @property
-    def pred_percentiles(self):
+    @insert_pos_label
+    def pred_percentiles(self, pos_label=None):
         """returns ranks for pos_label class"""
-        return default_2darray(self.pred_percentiles_raw, self.pos_label)
+        return self.pred_percentiles_raw[:, pos_label]
 
-    @property
-    def permutation_importances(self):
+    @insert_pos_label
+    def permutation_importances(self, pos_label=None):
         """Permutation importances"""
         if not hasattr(self, '_perm_imps'):
             print("Calculating permutation importances (if slow, try setting n_jobs parameter)...", flush=True)
             self._perm_imps = [cv_permutation_importances(
                             self.model, self.X, self.y, self.metric,
+                            onehot_dict=self.onehot_dict,
                             cv=self.permutation_cv,
                             needs_proba=self.is_classifier,
-                            pos_label=label) for label in range(len(self.labels))]
-        return default_list(self._perm_imps, self.pos_label)
+                            pos_label=label).sort_values("Importance", ascending=False) 
+                                for label in range(len(self.labels))]
+        return self._perm_imps[pos_label]
 
-    @property
-    def permutation_importances_cats(self):
-        """permutation importances with categoricals grouped"""
-        if not hasattr(self, '_perm_imps_cats'):
-            print("Calculating categorical permutation importances (if slow, try setting n_jobs parameter)...", flush=True)
-            if self.onehot_cols:
-                self._perm_imps_cats = [cv_permutation_importances(
-                                self.model, self.X, self.y, self.metric, 
-                                onehot_dict=self.onehot_dict,
-                                cv=self.permutation_cv,
-                                needs_proba=self.is_classifier,
-                                pos_label=label) for label in range(len(self.labels))]
-            else:
-                _ = self.permutation_importances
-                self._perm_imps_cats = self._perm_imps
-        return default_list(self._perm_imps_cats, self.pos_label)
-
-    @property
-    def shap_base_value(self):
+    @insert_pos_label
+    def shap_base_value(self, pos_label=None):
         """SHAP base value: average outcome of population"""
         if not hasattr(self, '_shap_base_value'):
-            _ = self.shap_values() # CatBoost needs to have shap values calculated before expected value for some reason
+            _ = self.shap_values_df() # CatBoost needs to have shap values calculated before expected value for some reason
             self._shap_base_value = self.shap_explainer.expected_value
             if isinstance(self._shap_base_value, np.ndarray) and len(self._shap_base_value) == 1:
                 self._shap_base_value = self._shap_base_value[0]
@@ -1759,12 +1766,12 @@ def shap_base_value(self):
                     assert shap_base_value >= 0.0 and shap_base_value <= 1.0, \
                         (f"Shap base value does not look like a probability: {self._shap_base_value}. "
                          "Try setting model_output='logodds'.")
-        return default_list(self._shap_base_value, self.pos_label)
+        return self._shap_base_value[pos_label]
 
-    @property
-    def shap_values(self):
+    @insert_pos_label
+    def shap_values_df(self, pos_label=None):
         """SHAP Values"""
-        if not hasattr(self, '_shap_values'):
+        if not hasattr(self, '_shap_values_df'):
             print("Calculating shap values...", flush=True)
             self._shap_values = self.shap_explainer.shap_values(self.X)
             
@@ -1783,24 +1790,20 @@ def shap_values(self):
                     assert np.all(shap_values <= 1.0) , \
                         (f"model_output=='probability but some shap values are > 1.0!"
                          "Try setting model_output='logodds'.")
-        return default_list(self._shap_values, self.pos_label)
-
-    @property
-    def shap_values_cats(self):
-        """SHAP values with categoricals grouped together"""
-        if not hasattr(self, '_shap_values_cats'):
-            _ = self.shap_values
-            self._shap_values_cats = [
-                    merge_categorical_shap_values(
-                        self.X, sv, self.onehot_dict) for sv in self._shap_values]
-        return default_list(self._shap_values_cats, self.pos_label)
 
+            self._shap_values_df = [pd.DataFrame(sv, columns=self.columns) for sv in self._shap_values]
+            self._shap_values_df = [
+                merge_categorical_shap_values(df, self.onehot_dict, 
+                        self.merged_cols).astype(self.precision) 
+                                for df in self._shap_values_df]
+            del self._shap_values
+        return self._shap_values_df[pos_label]
 
-    @property
-    def shap_interaction_values(self):
+    @insert_pos_label
+    def shap_interaction_values(self, pos_label=None):
         """SHAP interaction values"""
         if not hasattr(self, '_shap_interaction_values'):
-            _ = self.shap_values #make sure shap values have been calculated
+            _ = self.shap_values_df() #make sure shap values have been calculated
             print("Calculating shap interaction values...", flush=True)
             if self.shap == 'tree':
                 print("Reminder: TreeShap computational complexity is O(TLD^2), "
@@ -1817,42 +1820,27 @@ def shap_interaction_values(self):
                 else: # assume logodds so logodds of negative class is -logodds of positive class
                     self._shap_interaction_values = [-self._shap_interaction_values,
                                                         self._shap_interaction_values]
+            self._shap_interaction_values = \
+                [merge_categorical_shap_interaction_values(
+                    siv, self.columns, self.merged_cols, 
+                    self.onehot_dict).astype(self.precision) for siv in self._shap_interaction_values]
+            # self._shap_interaction_values = [
+            #     normalize_shap_interaction_values(siv, self.shap_values)
+            #         for siv, sv in zip(self._shap_interaction_values, self._shap_values_df)]
+        return self._shap_interaction_values[pos_label]
 
-            self._shap_interaction_values = [
-                normalize_shap_interaction_values(siv, self.shap_values)
-                    for siv, sv in zip(self._shap_interaction_values, self._shap_values)]
-        return default_list(self._shap_interaction_values, self.pos_label)
-
-    @property
-    def shap_interaction_values_cats(self):
-        """SHAP interaction values with categoricals grouped together"""
-        if not hasattr(self, '_shap_interaction_values_cats'):
-            _ = self.shap_interaction_values
-            self._shap_interaction_values_cats = [
-                merge_categorical_shap_interaction_values(
-                    siv, self.X, self.X_cats, self.onehot_dict) 
-                        for siv in self._shap_interaction_values]
-        return default_list(self._shap_interaction_values_cats, self.pos_label)
-
-    @property
-    def mean_abs_shap(self):
+    @insert_pos_label
+    def mean_abs_shap_df(self, pos_label=None):
         """mean absolute SHAP values"""
-        if not hasattr(self, '_mean_abs_shap'):
-            _ = self.shap_values
-            self._mean_abs_shap = [mean_absolute_shap_values(
-                                self.columns, sv) for sv in self._shap_values]
-        return default_list(self._mean_abs_shap, self.pos_label)
-
-    @property
-    def mean_abs_shap_cats(self):
-        """mean absolute SHAP values with categoricals grouped together"""
-        if not hasattr(self, '_mean_abs_shap_cats'):
-            _ = self.shap_values_cats
-            self._mean_abs_shap_cats = [
-                mean_absolute_shap_values(self.columns_cats, sv) 
-                    for sv in self._shap_values_cats]
-        return default_list(self._mean_abs_shap_cats, self.pos_label)
+        if not hasattr(self, '_mean_abs_shap_df'):
+            _ = self.shap_values_df()
+            self._mean_abs_shap_df = [self.shap_values_df(pos_label)[self.merged_cols].abs().mean()
+                    .sort_values(ascending=False)
+                    .to_frame().rename_axis(index="Feature").reset_index()
+                    .rename(columns={0:"MEAN_ABS_SHAP"}) for pos_label in self.labels]
+        return self._mean_abs_shap_df[pos_label]
 
+    @insert_pos_label
     def cutoff_from_percentile(self, percentile, pos_label=None):
         """The cutoff equivalent to the percentile given
 
@@ -1868,11 +1856,9 @@ def cutoff_from_percentile(self, percentile, pos_label=None):
           cutoff
 
         """
-        if pos_label is None:
-            return pd.Series(self.pred_probas).nlargest(int((1-percentile)*len(self))).min()
-        else:
-            return pd.Series(self.pred_probas_raw[:, pos_label]).nlargest(int((1-percentile)*len(self))).min()
-
+        return pd.Series(self.pred_probas(pos_label)).nlargest(int((1-percentile)*len(self))).min()
+        
+    @insert_pos_label
     def percentile_from_cutoff(self, cutoff, pos_label=None):
         """The percentile equivalent to the cutoff given
 
@@ -1889,13 +1875,10 @@ def percentile_from_cutoff(self, cutoff, pos_label=None):
         """
         if cutoff is None:
             return None
-        if pos_label is None:
-            return 1-(self.pred_probas < cutoff).mean()
-        else:
-            pos_label = self.get_pos_label_index(pos_label)
-            return 1-np.mean(self.pred_probas_raw[:, pos_label] < cutoff)
+        return 1-(self.pred_probas(pos_label) < cutoff).mean()
 
-    def metrics(self, cutoff=0.5, pos_label=None, **kwargs):
+    @insert_pos_label
+    def metrics(self, cutoff=0.5, pos_label=None):
         """returns a dict with useful metrics for your classifier:
         
         accuracy, precision, recall, f1, roc auc, pr auc, log loss
@@ -1910,40 +1893,42 @@ def metrics(self, cutoff=0.5, pos_label=None, **kwargs):
         """
         if self.y_missing:
             raise ValueError("No y was passed to explainer, so cannot calculate metrics!")
+        y_true = self.y_binary(pos_label)
+        y_pred = np.where(self.pred_probas(pos_label) > cutoff, 1, 0)
 
-        if pos_label is None: pos_label = self.pos_label
         metrics_dict = {
-            'accuracy' : accuracy_score(self.y_binary(pos_label), np.where(self.pred_probas(pos_label) > cutoff, 1, 0)),
-            'precision' : precision_score(self.y_binary(pos_label), np.where(self.pred_probas(pos_label) > cutoff, 1, 0)),
-            'recall' : recall_score(self.y_binary(pos_label), np.where(self.pred_probas(pos_label) > cutoff, 1, 0)),
-            'f1' : f1_score(self.y_binary(pos_label), np.where(self.pred_probas(pos_label) > cutoff, 1, 0)),
-            'roc_auc_score' : roc_auc_score(self.y_binary(pos_label), self.pred_probas(pos_label)),
-            'pr_auc_score' : average_precision_score(self.y_binary(pos_label), self.pred_probas(pos_label)),
-            'log_loss' : log_loss(self.y_binary(pos_label), self.pred_probas(pos_label))
+            'accuracy' : accuracy_score(y_true, y_pred),
+            'precision' : precision_score(y_true, y_pred),
+            'recall' : recall_score(y_true, y_pred),
+            'f1' : f1_score(y_true, y_pred),
+            'roc_auc_score' : roc_auc_score(y_true, self.pred_probas(pos_label)),
+            'pr_auc_score' : average_precision_score(y_true, self.pred_probas(pos_label)),
+            'log_loss' : log_loss(y_true, self.pred_probas(pos_label))
         }
         return metrics_dict
 
-    def metrics_descriptions(self, cutoff=0.5, pos_label=None):
+    @insert_pos_label
+    def metrics_descriptions(self, cutoff=0.5, round=3, pos_label=None):
         metrics_dict = self.metrics(cutoff, pos_label)
         metrics_descriptions_dict = {}
         for k, v in metrics_dict.items():
             if k == 'accuracy':
-                metrics_descriptions_dict[k] = f"{round(100*v, 2)}% of predicted labels was predicted correctly."
+                metrics_descriptions_dict[k] = f"{100*v:.{round}f}% of predicted labels was predicted correctly."
             if k == 'precision':
-                metrics_descriptions_dict[k] = f"{round(100*v, 2)}% of predicted positive labels was predicted correctly."
+                metrics_descriptions_dict[k] = f"{100*v:.{round}f}% of predicted positive labels was predicted correctly."
             if k == 'recall':
-                metrics_descriptions_dict[k] = f"{round(100*v, 2)}% of positive labels was predicted correctly."
+                metrics_descriptions_dict[k] = f"{100*v:.{round}f}% of positive labels was predicted correctly."
             if k == 'f1':
-                metrics_descriptions_dict[k] = f"The weighted average of precision and recall is {round(v, 2)}"
+                metrics_descriptions_dict[k] = f"The weighted average of precision and recall is {v:.{round}f}"
             if k == 'roc_auc_score':
-                metrics_descriptions_dict[k] = f"The probability that a random positive label has a higher score than a random negative label is {round(100*v, 2)}%"
+                metrics_descriptions_dict[k] = f"The probability that a random positive label has a higher score than a random negative label is {100*v:.2f}%"
             if k == 'pr_auc_score':
-                metrics_descriptions_dict[k] = f"The average precision score calculated for each recall threshold is {round(v, 2)}. This ignores true negatives."
+                metrics_descriptions_dict[k] = f"The average precision score calculated for each recall threshold is {v:.{round}f}. This ignores true negatives."
             if k == 'log_loss':
-                metrics_descriptions_dict[k] = f"A measure of how far the predicted label is from the true label on average in log space {round(v, 2)}"
+                metrics_descriptions_dict[k] = f"A measure of how far the predicted label is from the true label on average in log space {v:.{round}f}"
         return metrics_descriptions_dict
 
-
+    @insert_pos_label
     def random_index(self, y_values=None, return_str=False,
                     pred_proba_min=None, pred_proba_max=None,
                     pred_percentile_min=None, pred_percentile_max=None, pos_label=None):
@@ -1968,8 +1953,10 @@ def random_index(self, y_values=None, return_str=False,
             and pred_percentile_min is None and pred_percentile_max is None):
             potential_idxs = self.idxs.values
         else:
-            if pred_proba_min is None: pred_proba_min = self.pred_probas(pos_label).min()
-            if pred_proba_max is None: pred_proba_max = self.pred_probas(pos_label).max()
+            pred_probas = self.pred_probas(pos_label)
+            pred_percentiles = self.pred_percentiles(pos_label)
+            if pred_proba_min is None: pred_proba_min = pred_probas.min()
+            if pred_proba_max is None: pred_proba_max = pred_probas.max()
             if pred_percentile_min is None: pred_percentile_min = 0.0
             if pred_percentile_max is None: pred_percentile_max = 1.0
             
@@ -1979,17 +1966,17 @@ def random_index(self, y_values=None, return_str=False,
                 y_values = [y if isinstance(y, int) else self.labels.index(y) for y in y_values]
 
                 potential_idxs = self.idxs[(self.y.isin(y_values)) &
-                                (self.pred_probas(pos_label) >= pred_proba_min) &
-                                (self.pred_probas(pos_label) <= pred_proba_max) &
-                                (self.pred_percentiles(pos_label) > pred_percentile_min) &
-                                (self.pred_percentiles(pos_label) <= pred_percentile_max)].values
+                                (pred_probas >= pred_proba_min) &
+                                (pred_probas <= pred_proba_max) &
+                                (pred_percentiles > pred_percentile_min) &
+                                (pred_percentiles <= pred_percentile_max)].values
             
             else:
                 potential_idxs = self.idxs[
-                                (self.pred_probas(pos_label) >= pred_proba_min) &
-                                (self.pred_probas(pos_label) <= pred_proba_max) &
-                                (self.pred_percentiles(pos_label) > pred_percentile_min) &
-                                (self.pred_percentiles(pos_label) <= pred_percentile_max)].values
+                                (pred_probas >= pred_proba_min) &
+                                (pred_probas <= pred_proba_max) &
+                                (pred_percentiles > pred_percentile_min) &
+                                (pred_percentiles <= pred_percentile_max)].values
 
         if len(potential_idxs) > 0:
             idx = np.random.choice(potential_idxs)
@@ -2013,10 +2000,10 @@ def prediction_result_df(self, index=None, X_row=None, add_star=True, logodds=Fa
         if index is None and X_row is None:
             raise ValueError("You need to either pass an index or X_row!")
         if index is not None:
-            int_idx = self.get_int_idx(index)
+            int_idx = self.get_idx(index)
             pred_probas = self.pred_probas_raw[int_idx, :]
         elif X_row is not None:
-            if X_row.columns.tolist()==self.columns_cats:
+            if matching_cols(X_row.columns, self.merged_cols):
                 X_row = X_cats_to_X(X_row, self.onehot_dict, self.X.columns)  
             pred_probas = self.model.predict_proba(X_row)[0, :]
 
@@ -2025,11 +2012,12 @@ def prediction_result_df(self, index=None, X_row=None, add_star=True, logodds=Fa
             probability=pred_probas))
         if logodds:
             preds_df.loc[:, "logodds"] = \
-                preds_df.probability.apply(lambda p: np.log(p / (1-p)))
+                preds_df.probability.apply(lambda p: np.log(p / (1-p))) 
         if index is not None and not self.y_missing and not np.isnan(self.y[int_idx]):
             preds_df.iloc[self.y[int_idx], 0] = f"{preds_df.iloc[self.y[int_idx], 0]}*"
         return preds_df.round(round)
 
+    @insert_pos_label
     def precision_df(self, bin_size=None, quantiles=None, multiclass=False, 
                         round=3, pos_label=None):
         """dataframe with predicted probabilities and precision
@@ -2049,8 +2037,6 @@ def precision_df(self, bin_size=None, quantiles=None, multiclass=False,
             raise ValueError("No y was passed to explainer, so cannot calculate precision_df!")
         assert self.pred_probas is not None
 
-        if pos_label is None: pos_label = self.pos_label
-
         if bin_size is None and quantiles is None:
             bin_size=0.1 # defaults to bin_size=0.1
         if multiclass:
@@ -2061,6 +2047,7 @@ def precision_df(self, bin_size=None, quantiles=None, multiclass=False,
             return get_precision_df(self.pred_probas(pos_label), self.y_binary(pos_label), 
                                     bin_size, quantiles, round=round)
 
+    @insert_pos_label
     def lift_curve_df(self, pos_label=None):
         """returns a pd.DataFrame with data needed to build a lift curve
 
@@ -2070,53 +2057,9 @@ def lift_curve_df(self, pos_label=None):
         Returns:
 
         """
-        if pos_label is None: pos_label = self.pos_label
         return get_lift_curve_df(self.pred_probas(pos_label), self.y, pos_label)
 
-    def prediction_result_markdown(self, index, include_percentile=True, round=2, pos_label=None):
-        """markdown of result of prediction for index
-
-        Args:
-          index(int or str): the index of the row for which to generate the prediction
-          include_percentile(bool, optional, optional): include the rank 
-                    percentile of the prediction, defaults to True
-          round(int, optional, optional): rounding to apply to results, defaults to 2
-          pos_label:  (Default value = None)
-          **kwargs: 
-
-        Returns:
-          str: markdown string
-
-        """
-        int_idx = self.get_int_idx(index)
-        if pos_label is None: pos_label = self.pos_label
-        
-        def display_probas(pred_probas_raw, labels, model_output='probability', round=2):
-            assert (len(pred_probas_raw.shape)==1 and len(pred_probas_raw) ==len(labels))
-            def log_odds(p, round=2):
-                return np.round(np.log(p / (1-p)), round)
-            for i in range(len(labels)):
-                proba_str = f"{np.round(100*pred_probas_raw[i], round)}%"
-                logodds_str = f"(logodds={log_odds(pred_probas_raw[i], round)})"
-                yield f"* {labels[i]}: {proba_str} {logodds_str if model_output=='logodds' else ''}\n"
-
-        model_prediction = "###### Prediction:\n\n"
-        if (isinstance(self.y[0], int) or 
-            isinstance(self.y[0], np.int64)):
-            model_prediction += f"Observed {self.target}: {self.labels[self.y[int_idx]]}\n\n"
-        
-        model_prediction += "Prediction probabilities per label:\n\n" 
-        for pred in display_probas(
-                self.pred_probas_raw[int_idx], 
-                self.labels, self.model_output, round):
-            model_prediction += pred
-        
-        if include_percentile:
-            percentile = np.round(100*(1-self.pred_percentiles(pos_label)[int_idx]))
-            model_prediction += f'\nIn top {percentile}% percentile probability {self.labels[pos_label]}'      
-        return model_prediction
-
-
+    @insert_pos_label
     def plot_precision(self, bin_size=None, quantiles=None, cutoff=None, multiclass=False, pos_label=None):
         """plot precision vs predicted probability
         
@@ -2138,7 +2081,6 @@ def plot_precision(self, bin_size=None, quantiles=None, cutoff=None, multiclass=
           Plotly fig
 
         """
-        if pos_label is None: pos_label = self.pos_label
         if bin_size is None and quantiles is None:
             bin_size=0.1 # defaults to bin_size=0.1
         precision_df = self.precision_df(
@@ -2146,6 +2088,7 @@ def plot_precision(self, bin_size=None, quantiles=None, cutoff=None, multiclass=
         return plotly_precision_plot(precision_df,
                     cutoff=cutoff, labels=self.labels, pos_label=pos_label)
 
+    @insert_pos_label
     def plot_cumulative_precision(self, percentile=None, pos_label=None):
         """plot cumulative precision
         
@@ -2159,11 +2102,11 @@ def plot_cumulative_precision(self, percentile=None, pos_label=None):
           plotly fig
 
         """
-        if pos_label is None: pos_label = self.pos_label
         return plotly_cumulative_precision_plot(
                     self.lift_curve_df(pos_label=pos_label), labels=self.labels, 
                     percentile=percentile, pos_label=pos_label)
 
+    @insert_pos_label
     def plot_confusion_matrix(self, cutoff=0.5, normalized=False, binary=False, pos_label=None):
         """plot of a confusion matrix.
 
@@ -2182,13 +2125,11 @@ def plot_confusion_matrix(self, cutoff=0.5, normalized=False, binary=False, pos_
         """
         if self.y_missing:
             raise ValueError("No y was passed to explainer, so cannot plot confusion matrix!")
-        if pos_label is None: pos_label = self.pos_label
         pos_label_str = self.labels[pos_label]
-
         if binary:
             if len(self.labels)==2:
                 def order_binary_labels(labels, pos_label):
-                    pos_index = labels.index(pos_label)
+                    pos_index = self.pos_label_index(pos_label)
                     return [labels[1-pos_index], labels[pos_index]]
                 labels = order_binary_labels(self.labels, pos_label_str)
             else:
@@ -2202,6 +2143,7 @@ def order_binary_labels(labels, pos_label):
                 self.y, self.pred_probas_raw.argmax(axis=1),
                 percentage=normalized, labels=self.labels)
 
+    @insert_pos_label
     def plot_lift_curve(self, cutoff=None, percentage=False, add_wizard=True, 
                         round=2, pos_label=None):
         """plot of a lift curve.
@@ -2223,6 +2165,7 @@ def plot_lift_curve(self, cutoff=None, percentage=False, add_wizard=True,
         return plotly_lift_curve(self.lift_curve_df(pos_label), cutoff=cutoff, 
                 percentage=percentage, add_wizard=add_wizard, round=round)
 
+    @insert_pos_label
     def plot_classification(self, cutoff=0.5, percentage=True, pos_label=None):
         """plot showing a barchart of the classification result for cutoff
 
@@ -2239,6 +2182,7 @@ def plot_classification(self, cutoff=0.5, percentage=True, pos_label=None):
         """
         return plotly_classification_plot(self.pred_probas(pos_label), self.y, self.labels, cutoff, percentage=percentage)
 
+    @insert_pos_label
     def plot_roc_auc(self, cutoff=0.5, pos_label=None):
         """plots ROC_AUC curve.
         
@@ -2255,6 +2199,7 @@ def plot_roc_auc(self, cutoff=0.5, pos_label=None):
             raise ValueError("No y was passed to explainer, so cannot plot roc auc!")
         return plotly_roc_auc_curve(self.y_binary(pos_label), self.pred_probas(pos_label), cutoff=cutoff)
 
+    @insert_pos_label
     def plot_pr_auc(self, cutoff=0.5, pos_label=None):
         """plots PR_AUC curve.
         
@@ -2296,7 +2241,7 @@ def calculate_properties(self, include_interactions=True):
             None
 
         """
-        _ = self.pred_probas
+        _ = self.pred_probas, self.y_binary()
         super().calculate_properties(include_interactions=include_interactions)
 
 
@@ -2721,7 +2666,7 @@ def decisionpath_summary_df(self, tree_idx, index, round=2, pos_label=None):
                 self.decisionpath_df(tree_idx, index, pos_label=pos_label),
                     classifier=self.is_classifier, round=round, units=self.units)
 
-    def decision_tree_file(self, tree_idx, index, show_just_path=False):
+    def decisiontree_file(self, tree_idx, index, show_just_path=False):
         """get a dtreeviz visualization of a particular tree in the random forest.
 
         Args:
@@ -2745,7 +2690,7 @@ def decision_tree_file(self, tree_idx, index, show_just_path=False):
                         show_just_path=show_just_path) 
         return viz.save_svg()
 
-    def decision_tree(self, tree_idx, index, show_just_path=False):
+    def decisiontree(self, tree_idx, index, show_just_path=False):
         """get a dtreeviz visualization of a particular tree in the random forest.
 
         Args:
@@ -2763,10 +2708,10 @@ def decision_tree(self, tree_idx, index, show_just_path=False):
             return None
 
         from IPython.display import SVG
-        svg_file = self.decision_tree_file(tree_idx, index, show_just_path)
+        svg_file = self.decisiontree_file(tree_idx, index, show_just_path)
         return SVG(open(svg_file,'rb').read())
 
-    def decision_tree_encoded(self, tree_idx, index, show_just_path=False):
+    def decisiontree_encoded(self, tree_idx, index, show_just_path=False):
         """get a dtreeviz visualization of a particular tree in the random forest.
 
         Args:
@@ -2784,7 +2729,7 @@ def decision_tree_encoded(self, tree_idx, index, show_just_path=False):
             print("No graphviz 'dot' executable available!")
             return None
         
-        svg_file = self.decision_tree_file(tree_idx, index, show_just_path)
+        svg_file = self.decisiontree_file(tree_idx, index, show_just_path)
         encoded = base64.b64encode(open(svg_file,'rb').read()) 
         svg_encoded = 'data:image/svg+xml;base64,{}'.format(encoded.decode()) 
         return svg_encoded
@@ -2872,7 +2817,7 @@ def plot_trees(self, index, highlight_tree=None, round=2,
         y = self.get_y(index)
         
         if self.is_classifier:
-            pos_label = self.get_pos_label_index(pos_label)
+            pos_label = self.pos_label_index(pos_label)
             if y is not None:
                 y = 100 * int(y==pos_label)
             return plotly_rf_trees(self.model, X_row, y,
@@ -2884,7 +2829,6 @@ def plot_trees(self, index, highlight_tree=None, round=2,
                         target=self.target, units=self.units)
 
 
-
 class XGBExplainer(TreeExplainer):
     """XGBExplainer allows for the analysis of individual DecisionTrees that
     make up the xgboost model.
@@ -2960,7 +2904,7 @@ def decisionpath_summary_df(self, tree_idx, index, round=2, pos_label=None):
         return get_xgboost_path_summary_df(self.decisionpath_df(tree_idx, index, pos_label=pos_label))
 
     @insert_pos_label
-    def decision_tree_file(self, tree_idx, index, show_just_path=False, pos_label=None):
+    def decisiontree_file(self, tree_idx, index, show_just_path=False, pos_label=None):
         """get a dtreeviz visualization of a particular tree in the random forest.
 
         Args:
@@ -3006,7 +2950,7 @@ def plot_trees(self, index, highlight_tree=None, round=2,
 
         """
         if self.is_classifier:
-            pos_label = self.get_pos_label_index(pos_label)
+            pos_label = self.pos_label_index(pos_label)
             y = self.get_y(index)
             y = 100 * int(y == pos_label) if y is not None else y
             xgboost_preds_df = get_xgboost_preds_df(
@@ -3018,7 +2962,7 @@ def plot_trees(self, index, highlight_tree=None, round=2,
                             higher_is_better=higher_is_better)
         else:
             X_row = self.get_X_row(index)
-            y = self.model.predict(X_row)
+            y = self.get_y(index)
             xgboost_preds_df = get_xgboost_preds_df(self.model, X_row)
             return plotly_xgboost_trees(xgboost_preds_df, 
                             y=y, highlight_tree=highlight_tree,
@@ -3033,7 +2977,6 @@ def calculate_properties(self, include_interactions=True):
             (Default value = True)
 
         Returns:
-
         """
         _ = self.shadow_trees, self.model_dump_list
         super().calculate_properties(include_interactions=include_interactions)

From 5860c0be72de51d2fed663cfa47f51bd6aa315b4 Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Wed, 20 Jan 2021 11:19:46 +0100
Subject: [PATCH 07/28] adds keep_shap_pos_label_only method

---
 RELEASE_NOTES.md                 |  5 +++
 TODO.md                          |  2 +
 explainerdashboard/explainers.py | 66 ++++++++++++++++----------------
 3 files changed, 40 insertions(+), 33 deletions(-)

diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index 82ba878..fce2a20 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -14,6 +14,8 @@
     - `BaseExplaiener`:
         - `self.shap_values_cats`
         - `self.shap_interaction_values_cats`
+    - `ClassifierExplainer`:
+        - `get_prop_for_label`
 
 
 - Naming changes:
@@ -32,6 +34,9 @@
 - new `Explainer` parameter `precision`: defaults to `'float64'`. Can be set to
     `'float32'` to save on memory usage.
 - new `memory_usage()` method to show which internal attributes take the most memory.
+- net `keep_shap_pos_label_only(pos_label)` method:
+    - drops shap values and shap interactions for all labels except `pos_label`
+    - this should significantly reduce memory usage.
 - added `get_index_list()`, `get_X_row(index)`, and `get_y(index)` methods.
     - these can be overridden with `.set_index_list_func()`, `.set_X_row_func()`
         and `.set_y_func()`.
diff --git a/TODO.md b/TODO.md
index 76ceb9b..bfde36a 100644
--- a/TODO.md
+++ b/TODO.md
@@ -5,6 +5,8 @@
 - check all register_dependencies()
 - add option drop encoded cols
 - add options drop non-pos label
+- reorder methods
+- remove plot_SHAP_dependence, etc
 ## Bugs:
 
 
diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index 0141ef6..2fad656 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -1504,7 +1504,7 @@ def __init__(self, model,  X, y=None,  permutation_metric=roc_auc_score,
                     shap='guess', X_background=None, model_output="probability",
                     cats=None, idxs=None, index_name=None, target=None,
                     descriptions=None, n_jobs=None, permutation_cv=None, na_fill=-999,
-                    precision="float32", labels=None, pos_label=1):
+                    precision="float64", labels=None, pos_label=1):
         """
         Explainer for classification models. Defines the shap values for
         each possible class in the classification.
@@ -1671,22 +1671,6 @@ def pos_label_index(self, pos_label):
             return self.labels.index(pos_label)
         raise ValueError("pos_label should either be int or str in self.labels!")
 
-    # def get_prop_for_label(self, prop:str, label):
-    #     """return property for a specific pos_label
-
-    #     Args:
-    #       prop: property to get for a certain pos_label
-    #       label: pos_label
-
-    #     Returns:
-    #         property
-    #     """
-    #     tmp = self.pos_label
-    #     self.pos_label = label
-    #     ret = getattr(self, prop)
-    #     self.pos_label = tmp
-    #     return ret
-
     @insert_pos_label
     def y_binary(self, pos_label):
         """for multiclass problems returns one-vs-rest array of [1,0] pos_label"""
@@ -1705,7 +1689,7 @@ def pred_probas_raw(self):
             print("Calculating prediction probabilities...", flush=True)
             assert hasattr(self.model, 'predict_proba'), \
                 "model does not have a predict_proba method!"
-            self._pred_probas =  self.model.predict_proba(self.X)
+            self._pred_probas =  self.model.predict_proba(self.X).astype(self.precision)
         return self._pred_probas
 
     @property
@@ -1741,6 +1725,7 @@ def permutation_importances(self, pos_label=None):
                             needs_proba=self.is_classifier,
                             pos_label=label).sort_values("Importance", ascending=False) 
                                 for label in range(len(self.labels))]
+
         return self._perm_imps[pos_label]
 
     @insert_pos_label
@@ -1773,31 +1758,34 @@ def shap_values_df(self, pos_label=None):
         """SHAP Values"""
         if not hasattr(self, '_shap_values_df'):
             print("Calculating shap values...", flush=True)
-            self._shap_values = self.shap_explainer.shap_values(self.X)
+            _shap_values = self.shap_explainer.shap_values(self.X)
             
-            if not isinstance(self._shap_values, list) and len(self.labels)==2:
-                    self._shap_values = [-self._shap_values, self._shap_values]
+            if not isinstance(_shap_values, list) and len(self.labels)==2:
+                    _shap_values = [-_shap_values, _shap_values]
 
-            assert len(self._shap_values)==len(self.labels),\
-                f"len(shap_values)={len(self._shap_values)}"\
+            assert len(_shap_values)==len(self.labels),\
+                f"len(shap_values)={len(_shap_values)}"\
                 + f"and len(labels)={len(self.labels)} do not match!"
             if self.model_output == 'probability':
-                for shap_values in self._shap_values:
+                for shap_values in _shap_values:
                     assert np.all(shap_values >= -1.0) , \
                         (f"model_output=='probability but some shap values are < 1.0!"
                          "Try setting model_output='logodds'.")
-                for shap_values in self._shap_values:
+                for shap_values in _shap_values:
                     assert np.all(shap_values <= 1.0) , \
                         (f"model_output=='probability but some shap values are > 1.0!"
                          "Try setting model_output='logodds'.")
 
-            self._shap_values_df = [pd.DataFrame(sv, columns=self.columns) for sv in self._shap_values]
+            self._shap_values_df = [pd.DataFrame(sv, columns=self.columns) for sv in _shap_values]
             self._shap_values_df = [
                 merge_categorical_shap_values(df, self.onehot_dict, 
                         self.merged_cols).astype(self.precision) 
                                 for df in self._shap_values_df]
-            del self._shap_values
-        return self._shap_values_df[pos_label]
+        
+        if isinstance(self._shap_values_df, list):
+            return self._shap_values_df[pos_label]
+        else:
+            return self._shap_values_df
 
     @insert_pos_label
     def shap_interaction_values(self, pos_label=None):
@@ -1827,7 +1815,10 @@ def shap_interaction_values(self, pos_label=None):
             # self._shap_interaction_values = [
             #     normalize_shap_interaction_values(siv, self.shap_values)
             #         for siv, sv in zip(self._shap_interaction_values, self._shap_values_df)]
-        return self._shap_interaction_values[pos_label]
+        if isinstance(self._shap_interaction_values, list):
+            return self._shap_interaction_values[pos_label]
+        else:
+            return self._shap_interaction_values
 
     @insert_pos_label
     def mean_abs_shap_df(self, pos_label=None):
@@ -1840,6 +1831,15 @@ def mean_abs_shap_df(self, pos_label=None):
                     .rename(columns={0:"MEAN_ABS_SHAP"}) for pos_label in self.labels]
         return self._mean_abs_shap_df[pos_label]
 
+    @insert_pos_label
+    def keep_shap_pos_label_only(self, pos_label=None):
+        """drops the shap values and shap_interaction values for all labels 
+        except pos_label in order to save on memory usage"""
+        if hasattr(self, "_shap_values_df"):
+            self._shap_values_df= self.shap_values_df(pos_label)
+        if hasattr(self, "_shap_interaction_values"):
+            self._shap_interaction_values = self.shap_interaction_values(pos_label)
+
     @insert_pos_label
     def cutoff_from_percentile(self, percentile, pos_label=None):
         """The cutoff equivalent to the percentile given
@@ -2251,7 +2251,7 @@ def __init__(self, model,  X, y=None, permutation_metric=r2_score,
                     shap="guess", X_background=None, model_output="raw",
                     cats=None, idxs=None, index_name=None, target=None,
                     descriptions=None, n_jobs=None, permutation_cv=None, 
-                    na_fill=-999, precision="float32", units=""):
+                    na_fill=-999, precision="float64", units=""):
         """Explainer for regression models.
 
         In addition to BaseExplainer defines a number of plots specific to 
@@ -2285,15 +2285,15 @@ def residuals(self):
         """residuals: y-preds"""
         if not hasattr(self, '_residuals'):
             print("Calculating residuals...")
-            self._residuals =  self.y-self.preds
-        return self._residuals
+            self._residuals =  (self.y-self.preds).astype(self.precision)
+        return self._residuals.ast
 
     @property
     def abs_residuals(self):
         """absolute residuals"""
         if not hasattr(self, '_abs_residuals'):
             print("Calculating absolute residuals...")
-            self._abs_residuals =  np.abs(self.residuals)
+            self._abs_residuals =  np.abs(self.residuals).astype(self.precision)
         return self._abs_residuals
 
     def random_index(self, y_min=None, y_max=None, pred_min=None, pred_max=None, 

From ccebdf36fb87ae4b2059a18d94d90aa3a9f022d1 Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Wed, 20 Jan 2021 12:09:36 +0100
Subject: [PATCH 08/28] breaking naming changes, reordering explainers

---
 RELEASE_NOTES.md                              |  11 +-
 custom_examples.ipynb                         |   2 +-
 docs/source/explainers.rst                    |  54 +-
 explainer_examples.ipynb                      |  68 +-
 .../dashboard_components/shap_components.py   |  16 +-
 explainerdashboard/explainers.py              | 894 +++++++++---------
 tests/test_cats_only.py                       |  98 +-
 tests/test_classifier_base.py                 |  74 +-
 tests/test_multiclass.py                      |  64 +-
 tests/test_randomforest_explainer.py          |   8 +-
 tests/test_regression_base.py                 |  84 +-
 tests/test_xgboost_explainer.py               |  14 +-
 12 files changed, 678 insertions(+), 709 deletions(-)

diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index fce2a20..38574fc 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -11,17 +11,21 @@
     contributions of onehot encoded columns, simply don't pass them to the 
     `cats` parameter on construction.
 - Deprecated:
-    - `BaseExplaiener`:
+    - `BaseExplainer`:
         - `self.shap_values_cats`
         - `self.shap_interaction_values_cats`
     - `ClassifierExplainer`:
         - `get_prop_for_label`
-
-
 - Naming changes:
     - `BaseExplainer`:
         - `self.get_int_idx(index)` -> `self.get_idx(index)`
         - `self.shap_values` -> `self.shap_values_df`
+        - `plot_shap_contributions()` -> `plot_contributions()`
+        - `plot_shap_summary()` -> `plot_shap_detailed()`
+        - `plot_shap_dependence()` -> `plot_dependence()`
+        - `plot_shap_interaction()` -> `plot_interaction()`
+        - `plot_shap_interaction_summary()` -> `plot_interactions_detailed()`
+        - `plot_interactions()` -> `plot_interactions_importance()`
     -`TreeExplainers`:
         - `self.decision_trees` -> `self.shadow_trees`
         - `self.decisiontree_df` -> `self.decisionpath_df`
@@ -53,6 +57,7 @@
     when InputFeatures had not fully loaded, resulting in shap error.
 
 ### Improvements
+- saving `X.copy()`, instead of using a reference to `X`
 - encoding onehot columns as `np.int8` saving memory usage
 - encoding categorical features as `pd.category` saving memory usage
 - added base `TreeExplainer` class that `RandomForestExplainer` and `XGBExplainer` both derive from
diff --git a/custom_examples.ipynb b/custom_examples.ipynb
index 9a1b220..09b73e4 100644
--- a/custom_examples.ipynb
+++ b/custom_examples.ipynb
@@ -388,7 +388,7 @@
     "                            target='Survival',\n",
     "                            labels=['Not survived', 'Survived'])\n",
     "\n",
-    "explainer.plot_shap_contributions(0)"
+    "explainer.plot_contributions(0)"
    ]
   },
   {
diff --git a/docs/source/explainers.rst b/docs/source/explainers.rst
index 631f971..fd9ea41 100644
--- a/docs/source/explainers.rst
+++ b/docs/source/explainers.rst
@@ -26,8 +26,8 @@ Or you can use it interactively in a notebook to inspect your model
 using the built-in plotting methods, e.g.::
 
     explainer.plot_confusion_matrix()
-    explainer.plot_shap_contributions(index=0)
-    explainer.plot_shap_dependence("Fare", color_col="Sex")
+    explainer.plot_contributions(index=0)
+    explainer.plot_dependence("Fare", color_col="Sex")
 
 .. image:: screenshots/notebook_screenshot.png
 
@@ -93,7 +93,7 @@ And you can also combine the two methods::
 
 
 You can now use these categorical features directly as input for plotting methods, e.g. 
-``explainer.plot_shap_dependence("Deck")``, which will now generate violin plots
+``explainer.plot_dependence("Deck")``, which will now generate violin plots
 instead of the default scatter plots. For other methods you can usually pass
 a parameter ``cats=True``, to indicate that you'd like to group the categorical
 features in your output. 
@@ -249,20 +249,20 @@ or ``RegressionExplainer``, however they both inherit all of these basic methods
 The BaseExplainer already provides a number of convenient plotting methods::
 
     plot_importances(kind='shap', topx=None, cats=False, round=3, pos_label=None)
-    plot_shap_contributions(index, cats=True, topx=None, cutoff=None, round=2, pos_label=None)
-    plot_shap_summary(topx=None, cats=False, pos_label=None)
-    plot_shap_interaction_summary(col, topx=None, cats=False, pos_label=None)
-    plot_shap_dependence(col, color_col=None, highlight_idx=None,pos_label=None)
-    plot_shap_interaction(col, interact_col, highlight_idx=None, pos_label=None)
+    plot_contributions(index, cats=True, topx=None, cutoff=None, round=2, pos_label=None)
+    plot_shap_detailed(topx=None, cats=False, pos_label=None)
+    plot_interactions_detailed(col, topx=None, cats=False, pos_label=None)
+    plot_dependence(col, color_col=None, highlight_idx=None,pos_label=None)
+    plot_interaction(interact_col, highlight_idx=None, pos_label=None)
     plot_pdp(col, index=None, drop_na=True, sample=100, num_grid_lines=100, num_grid_points=10, pos_label=None)
 
 example code::
 
     explainer = ClassifierExplainer(model, X, y, cats=['Sex', 'Deck', 'Embarked']) 
     explainer.plot_importances(cats=True)
-    explainer.plot_shap_contributions(index=0, topx=5)
-    explainer.plot_shap_dependence("Fare")
-    explainer.plot_shap_interaction("Fare", "PassengerClass")
+    explainer.plot_contributions(index=0, topx=5)
+    explainer.plot_dependence("Fare")
+    explainer.plot_interaction(", "PassengerClass")
     explainer.plot_pdp("Sex", index=0)
 
 plot_importances
@@ -400,15 +400,15 @@ through a specific decision tree.
 You can also plot the individual predictions of each individual tree for 
 specific row in your data indentified by ``index``::
 
-    explainer.decisiontree_df(tree_idx, index)
-    explainer.decisiontree_summary_df(tree_idx, index)
+    explainer.decisionpath_df(tree_idx, index)
+    explainer.decisionpath_summary_df(tree_idx, index)
     explainer.plot_trees(index)
 
 And for dtreeviz visualization of individual decision trees (svg format)::
 
-    explainer.decision_path(tree_idx, index)
-    explainer.decision_path_file(tree_idx, index)
-    explainer.decision_path_encoded(tree_idx, index)
+    explainer.decisiontree(tree_idx, index)
+    explainer.decisiontree_file(tree_idx, index)
+    explainer.decisiontree_encoded(tree_idx, index)
 
 These methods are part of the ``RandomForestExplainer`` and XGBExplainer`` mixin
 classes that get automatically loaded when you pass either a RandomForest
@@ -423,17 +423,17 @@ plot_trees
 decision_path
 ^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.RandomForestExplainer.decision_path
+.. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisiontree
 
 decision_path_file
 ^^^^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.RandomForestExplainer.decision_path_file
+.. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisiontree_file
 
 decision_path_encoded
 ^^^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.RandomForestExplainer.decision_path_encoded
+.. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisiontree_encoded
 
 
 
@@ -575,27 +575,27 @@ with the following additional methods::
 decisiontree_df
 ^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisiontree_df
+.. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisionpath_df
 
 decisiontree_summary_df
 ^^^^^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisiontree_summary_df
+.. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisionpath_summary_df
 
 decision_path_file
 ^^^^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.RandomForestExplainer.decision_path_file
+.. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisiontree_file
 
 decision_path_encoded
 ^^^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.RandomForestExplainer.decision_path_encoded
+.. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisiontree_encoded
 
 decision_path
 ^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.RandomForestExplainer.decision_path
+.. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisiontree
 
 
 Calculated Properties
@@ -659,10 +659,10 @@ manually to a specific method, the global ``pos_label`` will be used. You can se
 this directly on the explainer (even us str labels if you've set these)::
 
     explainer.pos_label = 0
-    explainer.plot_shap_dependence("Fare") # will show plot for pos_label=0
+    explainer.plot_dependence("Fare") # will show plot for pos_label=0
     explainer.pos_label = 'Survived' 
-    explainer.plot_shap_dependence("Fare") # will now show plot for pos_label=1
-    explainer.plot_shap_dependence("Fare", pos_label=0) # show plot for label 0, without changing explainer.pos_label
+    explainer.plot_dependence("Fare") # will now show plot for pos_label=1
+    explainer.plot_dependence("Fare", pos_label=0) # show plot for label 0, without changing explainer.pos_label
 
 The ``ExplainerDashboard`` will show a dropdown menu in the header to choose
 a particular ``pos_label``. Changing this will basically update every single
diff --git a/explainer_examples.ipynb b/explainer_examples.ipynb
index f1e51c2..6b0c106 100644
--- a/explainer_examples.ipynb
+++ b/explainer_examples.ipynb
@@ -8310,7 +8310,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_summary(topx=10, cats=True)"
+    "explainer.plot_shap_detailed(topx=10, cats=True)"
    ]
   },
   {
@@ -27690,7 +27690,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_summary(topx=None, cats=False)"
+    "explainer.plot_shap_detailed(topx=None, cats=False)"
    ]
   },
   {
@@ -27820,7 +27820,7 @@
     }
    ],
    "source": [
-    "explainer.plot_interactions('Sex', cats=True, topx=5)"
+    "explainer.plot_interactions_importance('Sex', cats=True, topx=5)"
    ]
   },
   {
@@ -27927,7 +27927,7 @@
     }
    ],
    "source": [
-    "explainer.plot_interactions('Fare', cats=False, topx=5)"
+    "explainer.plot_interactions_importance('Fare', cats=False, topx=5)"
    ]
   },
   {
@@ -35462,7 +35462,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_interaction_summary(\"Sex\")"
+    "explainer.plot_interactions_detailed(\"Sex\")"
    ]
   },
   {
@@ -35837,7 +35837,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_contributions(index, cats=True, topx=8)"
+    "explainer.plot_contributions(index, cats=True, topx=8)"
    ]
   },
   {
@@ -36143,7 +36143,7 @@
    "source": [
     "name = test_names[6] # explainer prediction for name\n",
     "print(name)\n",
-    "explainer.plot_shap_contributions(name, cats=False)"
+    "explainer.plot_contributions(name, cats=False)"
    ]
   },
   {
@@ -36358,7 +36358,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_contributions(name, cats=False, topx=10, sort='high-to-low', orientation='horizontal')"
+    "explainer.plot_contributions(name, cats=False, topx=10, sort='high-to-low', orientation='horizontal')"
    ]
   },
   {
@@ -37063,7 +37063,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_dependence(\"Age\")"
+    "explainer.plot_dependence(\")"
    ]
   },
   {
@@ -37791,7 +37791,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_dependence(\"Age\", color_col=\"Sex\")"
+    "explainer.plot_dependence(\", color_col=\"Sex\")"
    ]
   },
   {
@@ -38727,7 +38727,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_dependence(\"Age\", color_col=\"Fare\")"
+    "explainer.plot_dependence(\", color_col=\"Fare\")"
    ]
   },
   {
@@ -39479,7 +39479,7 @@
    ],
    "source": [
     "\n",
-    "explainer.plot_shap_dependence(\"Age\", color_col=\"Sex\", highlight_index=5)"
+    "explainer.plot_dependence(\", color_col=\"Sex\", highlight_index=5)"
    ]
   },
   {
@@ -40207,7 +40207,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_interaction(\"Sex\", \"PassengerClass\")"
+    "explainer.plot_interaction(\"Sex\", \"PassengerClass\")"
    ]
   },
   {
@@ -41680,7 +41680,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_interaction(\"PassengerClass\", \"Sex\")"
+    "explainer.plot_interaction(\"PassengerClass\", \"Sex\")"
    ]
   },
   {
@@ -42632,7 +42632,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_interaction(\"Fare\", \"Age\", highlight_index=name)"
+    "explainer.plot_interaction(\"Fare\", \"Age\", highlight_index=name)"
    ]
   },
   {
@@ -43521,7 +43521,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_interaction(\"Age\", \"Fare\")"
+    "explainer.plot_interaction(\"Age\", \"Fare\")"
    ]
   },
   {
@@ -72301,7 +72301,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_summary(topx=10, cats=True)"
+    "explainer.plot_shap_detailed(topx=10, cats=True)"
    ]
   },
   {
@@ -91674,7 +91674,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_summary(topx=None, cats=False)"
+    "explainer.plot_shap_detailed(topx=None, cats=False)"
    ]
   },
   {
@@ -91804,7 +91804,7 @@
     }
    ],
    "source": [
-    "explainer.plot_interactions('Sex', cats=True, topx=5)"
+    "explainer.plot_interactions_importance('Sex', cats=True, topx=5)"
    ]
   },
   {
@@ -91911,7 +91911,7 @@
     }
    ],
    "source": [
-    "explainer.plot_interactions('Age', cats=False, topx=5)"
+    "explainer.plot_interactions_importance('Age', cats=False, topx=5)"
    ]
   },
   {
@@ -99446,7 +99446,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_interaction_summary(\"Sex\", cats=True)"
+    "explainer.plot_interactions_detailed(\"Sex\", cats=True)"
    ]
   },
   {
@@ -99649,7 +99649,7 @@
    ],
    "source": [
     "index = 0 # explain prediction for first row of X_test\n",
-    "explainer.plot_shap_contributions(index, cats=True, topx=8, round=2)"
+    "explainer.plot_contributions(index, cats=True, topx=8, round=2)"
    ]
   },
   {
@@ -99953,7 +99953,7 @@
    "source": [
     "name = test_names[0] # explainer prediction for name\n",
     "print(name)\n",
-    "explainer.plot_shap_contributions(name, cats=False, sort='low-to-high', orientation='horizontal')"
+    "explainer.plot_contributions(name, cats=False, sort='low-to-high', orientation='horizontal')"
    ]
   },
   {
@@ -100658,7 +100658,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_dependence(\"Age\")"
+    "explainer.plot_dependence(\")"
    ]
   },
   {
@@ -101386,7 +101386,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_dependence(\"Age\", color_col=\"Sex\")"
+    "explainer.plot_dependence(\", color_col=\"Sex\")"
    ]
   },
   {
@@ -102322,7 +102322,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_dependence(\"Age\", color_col=\"PassengerClass\")"
+    "explainer.plot_dependence(\", color_col=\"PassengerClass\")"
    ]
   },
   {
@@ -103074,7 +103074,7 @@
    ],
    "source": [
     "\n",
-    "explainer.plot_shap_dependence(\"Age\", color_col=\"Sex\", highlight_index=5)"
+    "explainer.plot_dependence(\", color_col=\"Sex\", highlight_index=5)"
    ]
   },
   {
@@ -103802,7 +103802,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_interaction(\"Sex\", \"PassengerClass\")"
+    "explainer.plot_interaction(\"Sex\", \"PassengerClass\")"
    ]
   },
   {
@@ -105275,7 +105275,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_interaction(\"PassengerClass\", \"Sex\")"
+    "explainer.plot_interaction(\"PassengerClass\", \"Sex\")"
    ]
   },
   {
@@ -106227,7 +106227,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_interaction(\"PassengerClass\", \"Age\", highlight_index=5)"
+    "explainer.plot_interaction(\"PassengerClass\", \"Age\", highlight_index=5)"
    ]
   },
   {
@@ -107116,7 +107116,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_interaction(\"Age\", \"PassengerClass\")"
+    "explainer.plot_interaction(\"Age\", \"PassengerClass\")"
    ]
   },
   {
@@ -124338,7 +124338,7 @@
     }
    ],
    "source": [
-    "explainer.decisiontree_df(tree_idx=20, index=name)"
+    "explainer.decisionpath_df(tree_idx=20, index=name)"
    ]
   },
   {
@@ -124458,7 +124458,7 @@
     }
    ],
    "source": [
-    "decisiontree_df = explainer.decisiontree_summary_df(tree_idx=5, index=name)\n",
+    "decisiontree_df = explainer.decisionpath_summary_df(tree_idx=5, index=name)\n",
     "decisiontree_df"
    ]
   },
@@ -126352,7 +126352,7 @@
     }
    ],
    "source": [
-    "explainer.decision_path(tree_idx=5, index=name)"
+    "explainer.decisiontree(tree_idx=5, index=name)"
    ]
   },
   {
diff --git a/explainerdashboard/dashboard_components/shap_components.py b/explainerdashboard/dashboard_components/shap_components.py
index fdcbe23..1b41f4b 100644
--- a/explainerdashboard/dashboard_components/shap_components.py
+++ b/explainerdashboard/dashboard_components/shap_components.py
@@ -158,7 +158,7 @@ def update_shap_summary_graph(summary_type, depth, index, pos_label):
                 plot = self.explainer.plot_importances(
                         kind='shap', topx=depth, pos_label=pos_label)
             elif summary_type == 'detailed':
-                plot = self.explainer.plot_shap_summary(
+                plot = self.explainer.plot_shap_detailed(
                         topx=depth, pos_label=pos_label, index=index, 
                         max_cat_colors=self.max_cat_colors)
             ctx = dash.callback_context
@@ -358,7 +358,7 @@ def update_dependence_graph(color_col, index, topx, sort, pos_label, col):
             if col is not None:
                 if color_col =="no_color_col": 
                     color_col, index = None, None
-                return self.explainer.plot_shap_dependence(
+                return self.explainer.plot_dependence(
                             col, color_col, topx=topx, sort=sort, 
                             highlight_index=index, max_cat_colors=self.max_cat_colors,
                             pos_label=pos_label)
@@ -558,11 +558,11 @@ def update_interaction_scatter_graph(col, depth, summary_type, index, pos_label)
             if col is not None:
                 depth = None if depth is None else int(depth)
                 if summary_type=='aggregate':
-                    plot = self.explainer.plot_interactions(
+                    plot = self.explainer.plot_interactions_importance(
                         col, topx=depth, pos_label=pos_label)
                     return plot, dict(display="none")
                 elif summary_type=='detailed':
-                    plot = self.explainer.plot_shap_interaction_summary(
+                    plot = self.explainer.plot_interactions_detailed(
                         col, topx=depth, pos_label=pos_label, index=index, 
                         max_cat_colors=self.max_cat_colors)
                 return plot, {}
@@ -797,7 +797,7 @@ def update_interaction_dependence_interact_col(col, pos_label, old_interact_col)
         def update_dependence_graph(interact_col, index, topx, sort, pos_label, col):
             if col is not None and interact_col is not None:
                 style = {} if interact_col in self.explainer.cat_cols else dict(display="none")
-                return (self.explainer.plot_shap_interaction(
+                return (self.explainer.plot_interaction(
                             interact_col, col, highlight_index=index, pos_label=pos_label,
                             topx=topx, sort=sort, max_cat_colors=self.max_cat_colors),
                         style)
@@ -815,7 +815,7 @@ def update_dependence_graph(interact_col, index, topx, sort, pos_label, col):
         def update_dependence_graph(interact_col, index, topx, sort, pos_label, col):
             if col is not None and interact_col is not None:
                 style = {} if col in self.explainer.cat_cols else dict(display="none")
-                return (self.explainer.plot_shap_interaction(
+                return (self.explainer.plot_interaction(
                             col, interact_col, highlight_index=index, pos_label=pos_label,
                             topx=topx, sort=sort, max_cat_colors=self.max_cat_colors),
                         style)
@@ -1012,7 +1012,7 @@ def update_output_div(index, depth, sort, orientation, pos_label):
                 if index is None:
                     raise PreventUpdate
                 depth = None if depth is None else int(depth)
-                plot = self.explainer.plot_shap_contributions(index, topx=depth, 
+                plot = self.explainer.plot_contributions(index, topx=depth, 
                             sort=sort, orientation=orientation, 
                             pos_label=pos_label, higher_is_better=self.higher_is_better)
                 return plot
@@ -1028,7 +1028,7 @@ def update_output_div(depth, sort, orientation, pos_label, *inputs):
                 depth = None if depth is None else int(depth)
                 if not any([i is None for i in inputs]):
                     X_row = self.explainer.get_row_from_input(inputs, ranked_by_shap=True)
-                    plot = self.explainer.plot_shap_contributions(X_row=X_row, 
+                    plot = self.explainer.plot_contributions(X_row=X_row, 
                                 topx=depth, sort=sort, orientation=orientation, 
                                 pos_label=pos_label, higher_is_better=self.higher_is_better)
                     return plot
diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index 2fad656..eec0021 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -338,41 +338,6 @@ def __contains__(self, index):
             return True
         return False
 
-    @property
-    def shap_explainer(self):
-        """ """
-        if not hasattr(self, '_shap_explainer'):
-            X_str = ", X_background" if self.X_background is not None else 'X'
-            NoX_str = ", X_background" if self.X_background is not None else ''
-            if self.shap == 'tree':
-                print("Generating self.shap_explainer = "
-                      f"shap.TreeExplainer(model{NoX_str})")
-                self._shap_explainer = shap.TreeExplainer(self.model)
-            elif self.shap=='linear':
-                if self.X_background is None:
-                    print(
-                        "Warning: shap values for shap.LinearExplainer get "
-                        "calculated against X_background, but paramater "
-                        "X_background=None, so using X instead")
-                print(f"Generating self.shap_explainer = shap.LinearExplainer(model{X_str})...")
-                self._shap_explainer = shap.LinearExplainer(self.model, 
-                    self.X_background if self.X_background is not None else self.X)
-            elif self.shap=='deep':
-                print(f"Generating self.shap_explainer = "
-                      f"shap.DeepExplainer(model{NoX_str})")
-                self._shap_explainer = shap.DeepExplainer(self.model)
-            elif self.shap=='kernel': 
-                if self.X_background is None:
-                    print(
-                        "Warning: shap values for shap.LinearExplainer get "
-                        "calculated against X_background, but paramater "
-                        "X_background=None, so using X instead")
-                print("Generating self.shap_explainer = "
-                        f"shap.KernelExplainer(model, {X_str})...")
-                self._shap_explainer = shap.KernelExplainer(self.model, 
-                    self.X_background if self.X_background is not None else self.X)
-        return self._shap_explainer
-
     def get_idx(self, index):
         """Turn str index into an int index
 
@@ -405,78 +370,16 @@ def get_index(self, index):
             return index
         return None
 
-    def random_index(self, y_min=None, y_max=None, pred_min=None, pred_max=None, 
-                        return_str=False, **kwargs):
-        """random index following constraints
-
-        Args:
-          y_min:  (Default value = None)
-          y_max:  (Default value = None)
-          pred_min:  (Default value = None)
-          pred_max:  (Default value = None)
-          return_str:  (Default value = False)
-          **kwargs: 
-
-        Returns:
-          if y_values is given select an index for which y in y_values
-          if return_str return str index from self.idxs
-        """
-        
-        if pred_min is None:
-            pred_min = self.preds.min()
-        if pred_max is None:
-            pred_max = self.preds.max()
-
-        if not self.y_missing:
-            if y_min is None: y_min = self.y.min()
-            if y_max is None: y_max = self.y.max()
-
-            potential_idxs = self.y[(self.y>=y_min) & 
-                                    (self.y <= y_max) & 
-                                    (self.preds>=pred_min) &    
-                                    (self.preds <= pred_max)].index
-        else:
-            potential_idxs = self.y[(self.preds>=pred_min) &    
-                                    (self.preds <= pred_max)].index
-
-        if len(potential_idxs) > 0:
-            idx = np.random.choice(potential_idxs)
-        else:
-            return None
-        if return_str:
-            return self.idxs[idx]
-        return idx
-
     @property
-    def preds(self):
-        """returns model model predictions"""
-        if not hasattr(self, '_preds'):
-            print("Calculating predictions...", flush=True)
-            self._preds = self.model.predict(self.X).astype(self.precision)
-        return self._preds
-    
-    def pred_percentiles(self, pos_label=None):
-        """returns percentile rank of model predictions"""
-        if not hasattr(self, '_pred_percentiles'):
-            print("Calculating prediction percentiles...", flush=True)
-            self._pred_percentiles = (pd.Series(self.preds)
-                                .rank(method='min')
-                                .divide(len(self.preds))
-                                .values).astype(self.precision)
-        return self._pred_percentiles
-
-    def columns_ranked_by_shap(self, pos_label=None):
-        """returns the columns of X, ranked by mean abs shap value
-
-        Args:
-          cats: Group categorical together (Default value = False)
-          pos_label:  (Default value = None)
-
-        Returns:
-          list of columns
+    def X_cats(self):
+        """X with categorical variables grouped together"""
+        if not hasattr(self, '_X_cats'):
+            self._X_cats = merge_categorical_columns(self.X, self.onehot_dict, drop_regular=True)
+        return self._X_cats
 
-        """
-        return self.mean_abs_shap_df(pos_label).Feature.tolist()
+    @property
+    def X_merged(self):
+        return self.X.merge(self.X_cats, left_index=True, right_index=True)[self.merged_cols]
 
     @property
     def n_features(self):
@@ -487,51 +390,6 @@ def n_features(self):
         """
         return len(self.merged_cols)
 
-    def ordered_cats(self, col, topx=None, sort='alphabet', pos_label=None):
-        """Return a list of categories in an categorical column, sorted
-        by mode.
-
-        Args:
-            col (str): Categorical feature to return categories for.
-            topx (int, optional): Return topx top categories. Defaults to None.
-            sort (str, optional): Sorting method, either alphabetically ('alphabet'),
-                by frequency ('freq') or mean absolute shap ('shap'). 
-                Defaults to 'alphabet'.
-
-        Raises:
-            ValueError: if sort is other than 'alphabet', 'freq', 'shap
-
-        Returns:
-            list
-        """
-        if pos_label is None: pos_label = self.pos_label
-        assert col in self.cat_cols, \
-            f"{col} is not a categorical feature!"
-        if col in self.onehot_cols:
-            X = self.X_cats
-        else:
-            X = self.X
-
-        if sort=='alphabet':
-            if topx is None:
-                return sorted(X[col].unique().tolist())
-            else:
-                return sorted(X[col].unique().tolist())[:topx]
-        elif sort=='freq':
-            if topx is None:
-                return X[col].value_counts().index.tolist()
-            else:
-                return X[col].value_counts().nlargest(topx).index.tolist()
-        elif sort=='shap':
-            if topx is None:
-                return (pd.Series(self.shap_values_df(pos_label)[col].values, index=self.X_cats[col].values)
-                            .abs().groupby(level=0).mean().sort_values(ascending=False).index.tolist())
-            else:
-                return (pd.Series(self.shap_values_df(pos_label)[col].values, index=self.X_cats[col].values)
-                            .abs().groupby(level=0).mean().sort_values(ascending=False).nlargest(topx).index.tolist())
-        else:
-            raise ValueError(f"sort='{sort}', but should be in {{'alphabet', 'freq', 'shap'}}")
-
     def get_index_list(self):
         if self._get_index_list_func is not None:
             index_list = self._get_index_list_func()
@@ -603,31 +461,6 @@ def get_row_from_input(self, inputs:List, ranked_by_shap=False, return_merged=Fa
                 f"explainer.merged_cols ({len(self.merged_cols)}) or "
                 f"explainer.columns ({len(self.columns)})!")
 
-
-    def description(self, col):
-        """returns the written out description of what feature col means
-
-        Args:
-          col(str): col to get description for
-
-        Returns:
-            str, description
-        """
-        if col in self.descriptions.keys():
-            return self.descriptions[col]
-        return ""
-
-    def description_list(self, cols):
-        """returns a list of descriptions of a list of cols
-
-        Args:
-          cols(list): cols to be converted to descriptions
-
-        Returns:
-            list of descriptions
-        """
-        return [self.description(col) for col in cols]
-
     def get_col(self, col):
         """return pd.Series with values of col
 
@@ -692,6 +525,93 @@ def get_col_value_plus_prediction(self, col, index=None, X_row=None, pos_label=N
         else:
             raise ValueError("You need to pass either index or X_row!")
 
+    def description(self, col):
+        """returns the written out description of what feature col means
+
+        Args:
+          col(str): col to get description for
+
+        Returns:
+            str, description
+        """
+        if col in self.descriptions.keys():
+            return self.descriptions[col]
+        return ""
+
+    def description_list(self, cols):
+        """returns a list of descriptions of a list of cols
+
+        Args:
+          cols(list): cols to be converted to descriptions
+
+        Returns:
+            list of descriptions
+        """
+        return [self.description(col) for col in cols]
+
+    def ordered_cats(self, col, topx=None, sort='alphabet', pos_label=None):
+        """Return a list of categories in an categorical column, sorted
+        by mode.
+
+        Args:
+            col (str): Categorical feature to return categories for.
+            topx (int, optional): Return topx top categories. Defaults to None.
+            sort (str, optional): Sorting method, either alphabetically ('alphabet'),
+                by frequency ('freq') or mean absolute shap ('shap'). 
+                Defaults to 'alphabet'.
+
+        Raises:
+            ValueError: if sort is other than 'alphabet', 'freq', 'shap
+
+        Returns:
+            list
+        """
+        if pos_label is None: pos_label = self.pos_label
+        assert col in self.cat_cols, \
+            f"{col} is not a categorical feature!"
+        if col in self.onehot_cols:
+            X = self.X_cats
+        else:
+            X = self.X
+
+        if sort=='alphabet':
+            if topx is None:
+                return sorted(X[col].unique().tolist())
+            else:
+                return sorted(X[col].unique().tolist())[:topx]
+        elif sort=='freq':
+            if topx is None:
+                return X[col].value_counts().index.tolist()
+            else:
+                return X[col].value_counts().nlargest(topx).index.tolist()
+        elif sort=='shap':
+            if topx is None:
+                return (pd.Series(self.shap_values_df(pos_label)[col].values, index=self.X_cats[col].values)
+                            .abs().groupby(level=0).mean().sort_values(ascending=False).index.tolist())
+            else:
+                return (pd.Series(self.shap_values_df(pos_label)[col].values, index=self.X_cats[col].values)
+                            .abs().groupby(level=0).mean().sort_values(ascending=False).nlargest(topx).index.tolist())
+        else:
+            raise ValueError(f"sort='{sort}', but should be in {{'alphabet', 'freq', 'shap'}}")
+
+    @property
+    def preds(self):
+        """returns model model predictions"""
+        if not hasattr(self, '_preds'):
+            print("Calculating predictions...", flush=True)
+            self._preds = self.model.predict(self.X).astype(self.precision)
+        return self._preds
+    
+    def pred_percentiles(self, pos_label=None):
+        """returns percentile rank of model predictions"""
+        if not hasattr(self, '_pred_percentiles'):
+            print("Calculating prediction percentiles...", flush=True)
+            self._pred_percentiles = (pd.Series(self.preds)
+                                .rank(method='min')
+                                .divide(len(self.preds))
+                                .values).astype(self.precision)
+        return self._pred_percentiles
+
     @insert_pos_label          
     def permutation_importances(self, pos_label=None):
         """Permutation importances """
@@ -707,16 +627,65 @@ def permutation_importances(self, pos_label=None):
             self._perm_imps = self._perm_imps                 
         return self._perm_imps
 
-    @property
-    def X_cats(self):
-        """X with categorical variables grouped together"""
-        if not hasattr(self, '_X_cats'):
-            self._X_cats = merge_categorical_columns(self.X, self.onehot_dict, drop_regular=True)
-        return self._X_cats
+    @insert_pos_label
+    def get_permutation_importances_df(self, topx=None, cutoff=None, pos_label=None):
+        """dataframe with features ordered by permutation importance.
+        
+        For more about permutation importances.
+        
+        see https://explained.ai/rf-importance/index.html
+
+        Args:
+          topx(int, optional, optional): only return topx most important 
+                features, defaults to None
+          cutoff(float, optional, optional): only return features with importance 
+                of at least cutoff, defaults to None
+          pos_label:  (Default value = None)
+
+        Returns:
+          pd.DataFrame: importance_df
+
+        """
+        importance_df = self.permutation_importances(pos_label)
+
+        if topx is None: topx = len(importance_df)
+        if cutoff is None: cutoff = importance_df.Importance.min()
+        return importance_df[importance_df.Importance >= cutoff].head(topx)
 
     @property
-    def X_merged(self):
-        return self.X.merge(self.X_cats, left_index=True, right_index=True)[self.merged_cols]
+    def shap_explainer(self):
+        """ """
+        if not hasattr(self, '_shap_explainer'):
+            X_str = ", X_background" if self.X_background is not None else 'X'
+            NoX_str = ", X_background" if self.X_background is not None else ''
+            if self.shap == 'tree':
+                print("Generating self.shap_explainer = "
+                      f"shap.TreeExplainer(model{NoX_str})")
+                self._shap_explainer = shap.TreeExplainer(self.model)
+            elif self.shap=='linear':
+                if self.X_background is None:
+                    print(
+                        "Warning: shap values for shap.LinearExplainer get "
+                        "calculated against X_background, but paramater "
+                        "X_background=None, so using X instead")
+                print(f"Generating self.shap_explainer = shap.LinearExplainer(model{X_str})...")
+                self._shap_explainer = shap.LinearExplainer(self.model, 
+                    self.X_background if self.X_background is not None else self.X)
+            elif self.shap=='deep':
+                print(f"Generating self.shap_explainer = "
+                      f"shap.DeepExplainer(model{NoX_str})")
+                self._shap_explainer = shap.DeepExplainer(self.model)
+            elif self.shap=='kernel': 
+                if self.X_background is None:
+                    print(
+                        "Warning: shap values for shap.LinearExplainer get "
+                        "calculated against X_background, but paramater "
+                        "X_background=None, so using X instead")
+                print("Generating self.shap_explainer = "
+                        f"shap.KernelExplainer(model, {X_str})...")
+                self._shap_explainer = shap.KernelExplainer(self.model, 
+                    self.X_background if self.X_background is not None else self.X)
+        return self._shap_explainer
 
     @insert_pos_label
     def shap_base_value(self, pos_label=None):
@@ -777,80 +746,20 @@ def mean_abs_shap_df(self, pos_label=None):
                     .rename(columns={0:"MEAN_ABS_SHAP"}))
         return self._mean_abs_shap_df
 
-
-    def calculate_properties(self, include_interactions=True):
-        """Explicitely calculates all lazily calculated properties.
-        Useful so that properties are not calculate multiple times in 
-        parallel when starting a dashboard.
+    @insert_pos_label
+    def columns_ranked_by_shap(self, pos_label=None):
+        """returns the columns of X, ranked by mean abs shap value
 
         Args:
-          include_interactions(bool, optional, optional): shap interaction values can take a long
-        time to compute for larger datasets with more features. Therefore you
-        can choose not to calculate these, defaults to True
+        cats: Group categorical together (Default value = False)
+        pos_label:  (Default value = None)
 
         Returns:
+        list of columns
 
         """
-        _ = (self.preds,  self.pred_percentiles,
-                self.shap_base_value, self.shap_values_df,
-                self.mean_abs_shap_df)
-        if not self.y_missing:
-            _ = self.permutation_importances
-        if self.onehot_cols:
-            _ = self.X_cats
-        if self.interactions_should_work and include_interactions:
-            _ = self.shap_interaction_values
-
-    def memory_usage(self, cutoff=0):
-        """returns a pd.DataFrame witht the memory usage of each attribute of
-        this explainer object"""
-        def get_size(obj):
-            def get_inner_size(obj):
-                if isinstance(obj, pd.DataFrame):
-                    return obj.memory_usage().sum()
-                elif isinstance(obj, pd.Series):
-                    return obj.memory_usage()
-                elif isinstance(obj, pd.Index):
-                    return obj.memory_usage()
-                elif isinstance(obj, np.ndarray):
-                    return obj.nbytes
-                else:
-                    return sys.getsizeof(obj)
-
-            if isinstance(obj, list):
-                return sum([get_inner_size(o) for o in obj])
-            elif isinstance(obj, dict):
-                return sum([get_inner_size(o) for o in obj.values()])
-            else:
-                return get_inner_size(obj)
-
-        def size_to_string(num, suffix='B'):
-            for unit in ['','Ki','Mi','Gi','Ti','Pi','Ei','Zi']:
-                if np.abs(num) < 1024.0:
-                    return "%3.1f%s%s" % (num, unit, suffix)
-                num /= 1024.0
-            return "%.1f%s%s" % (num, 'Yi', suffix)
-
-        memory_df = pd.DataFrame(columns=['property', 'type', 'bytes', 'size'])
-        for k, v in self.__dict__.items():
-            memory_df = memory_df.append(dict(
-                property=f"self.{k}", type=v.__class__.__name__, 
-                bytes=get_size(v), size=size_to_string(get_size(v))), 
-                ignore_index=True)
-        
-        print("Explainer total memory usage (approximate): ", 
-                    size_to_string(memory_df.bytes.sum()), flush=True)
-        return (memory_df[memory_df.bytes>cutoff]
-                    .sort_values("bytes", ascending=False)
-                    .reset_index(drop=True))
+        return self.mean_abs_shap_df(pos_label).Feature.tolist()
 
-    def metrics(self, *args, **kwargs):
-        """returns a dict of metrics.
-        
-        Implemented by either ClassifierExplainer or RegressionExplainer
-        """
-        return {}
-    
     @insert_pos_label
     def get_mean_abs_shap_df(self, topx=None, cutoff=None, pos_label=None):
         """sorted dataframe with mean_abs_shap
@@ -925,30 +834,121 @@ def shap_interaction_values_for_col(self, col, interact_col=None, pos_label=None
             return self.shap_interaction_values(pos_label)[
                 :, self.merged_cols.get_loc(col), self.merged_cols.get_loc(interact_col)]
 
-    @insert_pos_label
-    def get_permutation_importances_df(self, topx=None, cutoff=None, pos_label=None):
-        """dataframe with features ordered by permutation importance.
-        
-        For more about permutation importances.
-        
-        see https://explained.ai/rf-importance/index.html
+
+    def calculate_properties(self, include_interactions=True):
+        """Explicitely calculates all lazily calculated properties.
+        Useful so that properties are not calculate multiple times in 
+        parallel when starting a dashboard.
 
         Args:
-          topx(int, optional, optional): only return topx most important 
-                features, defaults to None
-          cutoff(float, optional, optional): only return features with importance 
-                of at least cutoff, defaults to None
-          pos_label:  (Default value = None)
+          include_interactions(bool, optional, optional): shap interaction values can take a long
+        time to compute for larger datasets with more features. Therefore you
+        can choose not to calculate these, defaults to True
 
         Returns:
-          pd.DataFrame: importance_df
 
         """
-        importance_df = self.permutation_importances(pos_label)
+        _ = (self.preds,  self.pred_percentiles,
+                self.shap_base_value, self.shap_values_df,
+                self.mean_abs_shap_df)
+        if not self.y_missing:
+            _ = self.permutation_importances
+        if self.onehot_cols:
+            _ = self.X_cats
+        if self.interactions_should_work and include_interactions:
+            _ = self.shap_interaction_values
 
-        if topx is None: topx = len(importance_df)
-        if cutoff is None: cutoff = importance_df.Importance.min()
-        return importance_df[importance_df.Importance >= cutoff].head(topx)
+    def memory_usage(self, cutoff=0):
+        """returns a pd.DataFrame witht the memory usage of each attribute of
+        this explainer object"""
+        def get_size(obj):
+            def get_inner_size(obj):
+                if isinstance(obj, pd.DataFrame):
+                    return obj.memory_usage().sum()
+                elif isinstance(obj, pd.Series):
+                    return obj.memory_usage()
+                elif isinstance(obj, pd.Index):
+                    return obj.memory_usage()
+                elif isinstance(obj, np.ndarray):
+                    return obj.nbytes
+                else:
+                    return sys.getsizeof(obj)
+
+            if isinstance(obj, list):
+                return sum([get_inner_size(o) for o in obj])
+            elif isinstance(obj, dict):
+                return sum([get_inner_size(o) for o in obj.values()])
+            else:
+                return get_inner_size(obj)
+
+        def size_to_string(num, suffix='B'):
+            for unit in ['','Ki','Mi','Gi','Ti','Pi','Ei','Zi']:
+                if np.abs(num) < 1024.0:
+                    return "%3.1f%s%s" % (num, unit, suffix)
+                num /= 1024.0
+            return "%.1f%s%s" % (num, 'Yi', suffix)
+
+        memory_df = pd.DataFrame(columns=['property', 'type', 'bytes', 'size'])
+        for k, v in self.__dict__.items():
+            memory_df = memory_df.append(dict(
+                property=f"self.{k}", type=v.__class__.__name__, 
+                bytes=get_size(v), size=size_to_string(get_size(v))), 
+                ignore_index=True)
+        
+        print("Explainer total memory usage (approximate): ", 
+                    size_to_string(memory_df.bytes.sum()), flush=True)
+        return (memory_df[memory_df.bytes>cutoff]
+                    .sort_values("bytes", ascending=False)
+                    .reset_index(drop=True))
+
+    def random_index(self, y_min=None, y_max=None, pred_min=None, pred_max=None, 
+                        return_str=False, **kwargs):
+        """random index following constraints
+
+        Args:
+          y_min:  (Default value = None)
+          y_max:  (Default value = None)
+          pred_min:  (Default value = None)
+          pred_max:  (Default value = None)
+          return_str:  (Default value = False)
+          **kwargs: 
+
+        Returns:
+          if y_values is given select an index for which y in y_values
+          if return_str return str index from self.idxs
+        """
+        
+        if pred_min is None:
+            pred_min = self.preds.min()
+        if pred_max is None:
+            pred_max = self.preds.max()
+
+        if not self.y_missing:
+            if y_min is None: y_min = self.y.min()
+            if y_max is None: y_max = self.y.max()
+
+            potential_idxs = self.y[(self.y>=y_min) & 
+                                    (self.y <= y_max) & 
+                                    (self.preds>=pred_min) &    
+                                    (self.preds <= pred_max)].index
+        else:
+            potential_idxs = self.y[(self.preds>=pred_min) &    
+                                    (self.preds <= pred_max)].index
+
+        if len(potential_idxs) > 0:
+            idx = np.random.choice(potential_idxs)
+        else:
+            return None
+        if return_str:
+            return self.idxs[idx]
+        return idx
+
+    def metrics(self, *args, **kwargs):
+        """returns a dict of metrics.
+        
+        Implemented by either ClassifierExplainer or RegressionExplainer
+        """
+        return {}
 
     @insert_pos_label
     def get_importances_df(self, kind="shap", topx=None, cutoff=None, pos_label=None):
@@ -1131,20 +1131,6 @@ def pdp_df(self, col, index=None, X_row=None, drop_na=True, sample=500,
 
         if index is not None:
             X_row = self.get_X_row(index)
-            # index = self.get_index(index)
-            # if isinstance(features, str) and drop_na: # regular col, not onehotencoded
-            #     sample_size=min(sample, len(self.X[(self.X[features] != self.na_fill)])-1)
-            #     sampleX = pd.concat([
-            #         self.X[self.X.index==index],
-            #         self.X[(self.X.index != index) & (self.X[features] != self.na_fill)]\
-            #                 .sample(sample_size)],
-            #         ignore_index=True, axis=0)
-            # else:
-            #     sample_size = min(sample, len(self.X)-1)
-            #     sampleX = pd.concat([
-            #         self.X[self.X.index==index],
-            #         self.X[(self.X.index!=index)].sample(sample_size)],
-            #         ignore_index=True, axis=0)
         if X_row is not None:
             if matching_cols(X_row.columns, self.merged_cols):
                 X_row = X_cats_to_X(X_row, self.onehot_dict, self.X.columns)    
@@ -1215,65 +1201,10 @@ def plot_importances(self, kind='shap', topx=None,  round=3, pos_label=None):
             descriptions = self.description_list(importances_df.Feature)
             return plotly_importances_plot(importances_df, descriptions, round=round, units=units, title=title)
         else:
-            return plotly_importances_plot(importances_df, round=round, units=units, title=title)
-
-    @insert_pos_label
-    def plot_interactions(self, col, topx=None, pos_label=None):
-        """plot mean absolute shap interaction value for col.
-
-        Args:
-          col: column for which to generate shap interaction value
-          topx(int, optional, optional): Only return topx features, defaults to None
-          pos_label:  (Default value = None)
-
-        Returns:
-          plotly.fig: fig
-
-        """
-        interactions_df = self.interactions_df(col, topx=topx, pos_label=pos_label)
-        title = f"Average interaction shap values for {col}"
-        return plotly_importances_plot(interactions_df, units=self.units, title=title)
-
-    @insert_pos_label
-    def plot_shap_contributions(self, index=None, X_row=None, topx=None, cutoff=None, 
-                        sort='abs', orientation='vertical', higher_is_better=True,
-                        round=2, pos_label=None):
-        """plot waterfall plot of shap value contributions to the model prediction for index.
-
-        Args:
-          index(int or str): index for which to display prediction
-          X_row (pd.DataFrame single row): a single row of a features to plot
-                shap contributions for. Can use this instead of index for
-                what-if scenarios.
-          topx(int, optional, optional): Only display topx features, 
-                        defaults to None
-          cutoff(float, optional, optional): Only display features with at least 
-                        cutoff contribution, defaults to None
-          sort({'abs', 'high-to-low', 'low-to-high', 'importance'}, optional): 
-                sort by absolute shap value, or from high to low, 
-                or low to high, or by order of shap feature importance.
-                Defaults to 'abs'.
-          orientation({'vertical', 'horizontal'}): Horizontal or vertical bar chart. 
-                    Horizontal may be better if you have lots of features. 
-                    Defaults to 'vertical'.
-          higher_is_better (bool): if True, up=green, down=red. If false reversed.
-                Defaults to True.
-          round(int, optional, optional): round contributions to round precision, 
-                        defaults to 2
-          pos_label:  (Default value = None)
-
-        Returns:
-          plotly.Fig: fig
-
-        """
-        assert orientation in ['vertical', 'horizontal']
-        contrib_df = self.contrib_df(index, X_row, topx, cutoff, sort, pos_label)
-        return plotly_contribution_plot(contrib_df, model_output=self.model_output, 
-                    orientation=orientation, round=round, higher_is_better=higher_is_better,
-                    target=self.target, units=self.units)
+            return plotly_importances_plot(importances_df, round=round, units=units, title=title)
 
     @insert_pos_label
-    def plot_shap_summary(self, index=None, topx=None, max_cat_colors=5, pos_label=None):
+    def plot_shap_detailed(self, index=None, topx=None, max_cat_colors=5, pos_label=None):
         """Plot barchart of mean absolute shap value.
         
         Displays all individual shap value for each feature in a horizontal
@@ -1320,36 +1251,45 @@ def plot_shap_summary(self, index=None, topx=None, max_cat_colors=5, pos_label=N
                                 max_cat_colors=max_cat_colors)
 
     @insert_pos_label
-    def plot_shap_interaction_summary(self, col, index=None, topx=None, 
-                                        max_cat_colors=5, pos_label=None):
-        """Plot barchart of mean absolute shap interaction values
-        
-        Displays all individual shap interaction values for each feature in a
-        horizontal scatter chart in descending order by mean absolute shap value.
+    def plot_contributions(self, index=None, X_row=None, topx=None, cutoff=None, 
+                        sort='abs', orientation='vertical', higher_is_better=True,
+                        round=2, pos_label=None):
+        """plot waterfall plot of shap value contributions to the model prediction for index.
 
         Args:
-          col(type]): feature for which to show interactions summary
-          index (str or int): index to highlight
-          topx(int, optional): only show topx most important features, defaults to None
-          max_cat_colors (int, optional): for categorical features, maximum number
-            of categories to label with own color. Defaults to 5. 
-          pos_label: positive class (Default value = None)
+            index(int or str): index for which to display prediction
+            X_row (pd.DataFrame single row): a single row of a features to plot
+                shap contributions for. Can use this instead of index for
+                what-if scenarios.
+            topx(int, optional, optional): Only display topx features, 
+                        defaults to None
+            cutoff(float, optional, optional): Only display features with at least 
+                        cutoff contribution, defaults to None
+            sort({'abs', 'high-to-low', 'low-to-high', 'importance'}, optional): 
+                sort by absolute shap value, or from high to low, 
+                or low to high, or by order of shap feature importance.
+                Defaults to 'abs'.
+            orientation({'vertical', 'horizontal'}): Horizontal or vertical bar chart. 
+                    Horizontal may be better if you have lots of features. 
+                    Defaults to 'vertical'.
+            higher_is_better (bool): if True, up=green, down=red. If false reversed.
+                Defaults to True.
+            round(int, optional, optional): round contributions to round precision, 
+                        defaults to 2
+            pos_label:  (Default value = None)
 
         Returns:
-          fig
+            plotly.Fig: fig
+
         """
-        interact_cols = self.top_shap_interactions(col, pos_label=pos_label)
-        shap_df = pd.DataFrame(self.shap_interaction_values_for_col(col, pos_label=pos_label),
-                            columns=self.merged_cols)                            
-        if topx is None: topx = len(interact_cols)
-        title = f"Shap interaction values for {col}"
-        return plotly_shap_scatter_plot(
-                self.X_merged, shap_df, interact_cols[:topx], title=title, 
-                idxs=self.idxs, highlight_index=index, na_fill=self.na_fill,
-                max_cat_colors=max_cat_colors)
+        assert orientation in ['vertical', 'horizontal']
+        contrib_df = self.contrib_df(index, X_row, topx, cutoff, sort, pos_label)
+        return plotly_contribution_plot(contrib_df, model_output=self.model_output, 
+                    orientation=orientation, round=round, higher_is_better=higher_is_better,
+                    target=self.target, units=self.units)
 
     @insert_pos_label
-    def plot_shap_dependence(self, col, color_col=None, highlight_index=None, 
+    def plot_dependence(self, col, color_col=None, highlight_index=None, 
                                 topx=None, sort='alphabet', max_cat_colors=5, 
                                 round=3, pos_label=None):
         """plot shap dependence
@@ -1403,7 +1343,7 @@ def plot_shap_dependence(self, col, color_col=None, highlight_index=None,
                         round=round)
 
     @insert_pos_label
-    def plot_shap_interaction(self, col, interact_col, highlight_index=None, 
+    def plot_interaction(self, col, interact_col, highlight_index=None, 
                                 topx=10, sort='alphabet', max_cat_colors=5, 
                                 pos_label=None):
         """plots a dependence plot for shap interaction effects
@@ -1440,7 +1380,53 @@ def plot_shap_interaction(self, col, interact_col, highlight_index=None,
                 self.get_col(interact_col), 
                 interaction=True, units=self.units,
                 highlight_index=highlight_index, idxs=self.idxs)
-            
+
+    @insert_pos_label
+    def plot_interactions_importance(self, col, topx=None, pos_label=None):
+        """plot mean absolute shap interaction value for col.
+
+        Args:
+          col: column for which to generate shap interaction value
+          topx(int, optional, optional): Only return topx features, defaults to None
+          pos_label:  (Default value = None)
+
+        Returns:
+          plotly.fig: fig
+
+        """
+        interactions_df = self.interactions_df(col, topx=topx, pos_label=pos_label)
+        title = f"Average interaction shap values for {col}"
+        return plotly_importances_plot(interactions_df, units=self.units, title=title)
+
+    @insert_pos_label
+    def plot_interactions_detailed(self, col, index=None, topx=None, 
+                                        max_cat_colors=5, pos_label=None):
+        """Plot barchart of mean absolute shap interaction values
+        
+        Displays all individual shap interaction values for each feature in a
+        horizontal scatter chart in descending order by mean absolute shap value.
+
+        Args:
+          col(type]): feature for which to show interactions summary
+          index (str or int): index to highlight
+          topx(int, optional): only show topx most important features, defaults to None
+          max_cat_colors (int, optional): for categorical features, maximum number
+            of categories to label with own color. Defaults to 5. 
+          pos_label: positive class (Default value = None)
+
+        Returns:
+          fig
+        """
+        interact_cols = self.top_shap_interactions(col, pos_label=pos_label)
+        shap_df = pd.DataFrame(self.shap_interaction_values_for_col(col, pos_label=pos_label),
+                            columns=self.merged_cols)                            
+        if topx is None: topx = len(interact_cols)
+        title = f"Shap interaction values for {col}"
+        return plotly_shap_scatter_plot(
+                self.X_merged, shap_df, interact_cols[:topx], title=title, 
+                idxs=self.idxs, highlight_index=index, na_fill=self.na_fill,
+                max_cat_colors=max_cat_colors)
+
     @insert_pos_label
     def plot_pdp(self, col, index=None, X_row=None, drop_na=True, sample=100,
                     gridlines=100, gridpoints=10, sort='freq', round=2,
@@ -1561,85 +1547,6 @@ def __init__(self, model,  X, y=None,  permutation_metric=roc_auc_score,
 
         _ = self.shap_explainer
 
-    @property
-    def shap_explainer(self):
-        """Initialize SHAP explainer. 
-        
-        Taking into account model type and model_output
-        """
-        if not hasattr(self, '_shap_explainer'):
-            model_str = str(type(self.model)).replace("'", "").replace("<", "").replace(">", "").split(".")[-1]
-            if self.shap == 'tree':
-                if safe_isinstance(self.model, 
-                    "XGBClassifier", "LGBMClassifier", "CatBoostClassifier", 
-                    "GradientBoostingClassifier", "HistGradientBoostingClassifier"):
-                    if self.model_output == "probability": 
-                        if self.X_background is None:
-                            print(
-                                f"Note: model_output=='probability'. For {model_str} shap values normally get "
-                                "calculated against X_background, but paramater X_background=None, "
-                                "so using X instead")
-                        print("Generating self.shap_explainer = shap.TreeExplainer(model, "
-                             f"{'X_background' if self.X_background is not None else 'X'}"
-                             ", model_output='probability', feature_perturbation='interventional')...")
-                        print("Note: Shap interaction values will not be available. "
-                              "If shap values in probability space are not necessary you can "
-                              "pass model_output='logodds' to get shap values in logodds without the need for "
-                              "a background dataset and also working shap interaction values...")
-                        self._shap_explainer = shap.TreeExplainer(
-                                                    self.model, 
-                                                    self.X_background if self.X_background is not None else self.X,
-                                                    model_output="probability",
-                                                    feature_perturbation="interventional")
-                        self.interactions_should_work = False
-                    else:
-                        self.model_output = "logodds"
-                        print(f"Generating self.shap_explainer = shap.TreeExplainer(model{', X_background' if self.X_background is not None else ''})")
-                        self._shap_explainer = shap.TreeExplainer(self.model, self.X_background)
-                else:
-                    if self.model_output == "probability":
-                        print(f"Note: model_output=='probability', so assuming that raw shap output of {model_str} is in probability space...")
-                    print(f"Generating self.shap_explainer = shap.TreeExplainer(model{', X_background' if self.X_background is not None else ''})")
-                    self._shap_explainer = shap.TreeExplainer(self.model, self.X_background)
-
-
-            elif self.shap=='linear':
-                if self.model_output == "probability":
-                    print(
-                        "Note: model_output='probability' is currently not supported for linear classifiers "
-                        "models with shap. So defaulting to model_output='logodds' "
-                        "If you really need probability outputs use shap='kernel' instead."
-                    )
-                    self.model_output = "logodds"
-                if self.X_background is None:
-                    print(
-                        "Note: shap values for shap='linear' get calculated against "
-                        "X_background, but paramater X_background=None, so using X instead...")
-                print("Generating self.shap_explainer = shap.LinearExplainer(model, "
-                             f"{'X_background' if self.X_background is not None else 'X'})...")
-                
-                self._shap_explainer = shap.LinearExplainer(self.model, 
-                                            self.X_background if self.X_background is not None else self.X)
-            elif self.shap=='deep':
-                print("Generating self.shap_explainer = shap.DeepExplainer(model{', X_background' if self.X_background is not None else ''})")
-                self._shap_explainer = shap.DeepExplainer(self.model, self.X_background)
-            elif self.shap=='kernel': 
-                if self.X_background is None:
-                    print(
-                        "Note: shap values for shap='kernel' normally get calculated against "
-                        "X_background, but paramater X_background=None, so using X instead...")
-                if self.model_output != "probability":
-                    print(
-                        "Note: for ClassifierExplainer shap='kernel' defaults to model_output='probability"
-                    )
-                    self.model_output = 'probability'
-                print("Generating self.shap_explainer = shap.KernelExplainer(model, "
-                             f"{'X_background' if self.X_background is not None else 'X'}"
-                             ", link='identity')")
-                self._shap_explainer = shap.KernelExplainer(self.model.predict_proba, 
-                                            self.X_background if self.X_background is not None else self.X,
-                                            link="identity")       
-        return self._shap_explainer
 
     @property
     def pos_label(self):
@@ -1728,6 +1635,86 @@ def permutation_importances(self, pos_label=None):
 
         return self._perm_imps[pos_label]
 
+    @property
+    def shap_explainer(self):
+        """Initialize SHAP explainer. 
+        
+        Taking into account model type and model_output
+        """
+        if not hasattr(self, '_shap_explainer'):
+            model_str = str(type(self.model)).replace("'", "").replace("<", "").replace(">", "").split(".")[-1]
+            if self.shap == 'tree':
+                if safe_isinstance(self.model, 
+                    "XGBClassifier", "LGBMClassifier", "CatBoostClassifier", 
+                    "GradientBoostingClassifier", "HistGradientBoostingClassifier"):
+                    if self.model_output == "probability": 
+                        if self.X_background is None:
+                            print(
+                                f"Note: model_output=='probability'. For {model_str} shap values normally get "
+                                "calculated against X_background, but paramater X_background=None, "
+                                "so using X instead")
+                        print("Generating self.shap_explainer = shap.TreeExplainer(model, "
+                             f"{'X_background' if self.X_background is not None else 'X'}"
+                             ", model_output='probability', feature_perturbation='interventional')...")
+                        print("Note: Shap interaction values will not be available. "
+                              "If shap values in probability space are not necessary you can "
+                              "pass model_output='logodds' to get shap values in logodds without the need for "
+                              "a background dataset and also working shap interaction values...")
+                        self._shap_explainer = shap.TreeExplainer(
+                                                    self.model, 
+                                                    self.X_background if self.X_background is not None else self.X,
+                                                    model_output="probability",
+                                                    feature_perturbation="interventional")
+                        self.interactions_should_work = False
+                    else:
+                        self.model_output = "logodds"
+                        print(f"Generating self.shap_explainer = shap.TreeExplainer(model{', X_background' if self.X_background is not None else ''})")
+                        self._shap_explainer = shap.TreeExplainer(self.model, self.X_background)
+                else:
+                    if self.model_output == "probability":
+                        print(f"Note: model_output=='probability', so assuming that raw shap output of {model_str} is in probability space...")
+                    print(f"Generating self.shap_explainer = shap.TreeExplainer(model{', X_background' if self.X_background is not None else ''})")
+                    self._shap_explainer = shap.TreeExplainer(self.model, self.X_background)
+
+
+            elif self.shap=='linear':
+                if self.model_output == "probability":
+                    print(
+                        "Note: model_output='probability' is currently not supported for linear classifiers "
+                        "models with shap. So defaulting to model_output='logodds' "
+                        "If you really need probability outputs use shap='kernel' instead."
+                    )
+                    self.model_output = "logodds"
+                if self.X_background is None:
+                    print(
+                        "Note: shap values for shap='linear' get calculated against "
+                        "X_background, but paramater X_background=None, so using X instead...")
+                print("Generating self.shap_explainer = shap.LinearExplainer(model, "
+                             f"{'X_background' if self.X_background is not None else 'X'})...")
+                
+                self._shap_explainer = shap.LinearExplainer(self.model, 
+                                            self.X_background if self.X_background is not None else self.X)
+            elif self.shap=='deep':
+                print("Generating self.shap_explainer = shap.DeepExplainer(model{', X_background' if self.X_background is not None else ''})")
+                self._shap_explainer = shap.DeepExplainer(self.model, self.X_background)
+            elif self.shap=='kernel': 
+                if self.X_background is None:
+                    print(
+                        "Note: shap values for shap='kernel' normally get calculated against "
+                        "X_background, but paramater X_background=None, so using X instead...")
+                if self.model_output != "probability":
+                    print(
+                        "Note: for ClassifierExplainer shap='kernel' defaults to model_output='probability"
+                    )
+                    self.model_output = 'probability'
+                print("Generating self.shap_explainer = shap.KernelExplainer(model, "
+                             f"{'X_background' if self.X_background is not None else 'X'}"
+                             ", link='identity')")
+                self._shap_explainer = shap.KernelExplainer(self.model.predict_proba, 
+                                            self.X_background if self.X_background is not None else self.X,
+                                            link="identity")       
+        return self._shap_explainer
+
     @insert_pos_label
     def shap_base_value(self, pos_label=None):
         """SHAP base value: average outcome of population"""
@@ -2361,29 +2348,6 @@ def random_index(self, y_min=None, y_max=None, pred_min=None, pred_max=None,
             return idx
         return self.idxs.get_loc(idx)
 
-    def prediction_result_markdown(self, index, include_percentile=True, round=2):
-        """markdown of prediction result
-
-        Args:
-          index: row index to be predicted
-          include_percentile (bool): include line about prediciton percentile
-          round:  (Default value = 2)
-
-        Returns:
-          str: markdown summary of prediction for index 
-
-        """
-        int_idx = self.get_int_idx(index)
-        model_prediction = "###### Prediction:\n"
-        model_prediction += f"Predicted {self.target}: {np.round(self.preds[int_idx], round)} {self.units}\n\n"
-        if not self.y_missing:
-            model_prediction += f"Observed {self.target}: {np.round(self.y[int_idx], round)} {self.units}\n\n"
-            model_prediction += f"Residual: {np.round(self.residuals[int_idx], round)} {self.units}\n\n"
-        if include_percentile:
-            percentile = np.round(100*(1-self.pred_percentiles[int_idx]))
-            model_prediction += f"\nIn top {percentile}% percentile predicted {self.target}"
-        return model_prediction
-
     def prediction_result_df(self, index=None, X_row=None, round=3):
         """prediction result in dataframe format
 
diff --git a/tests/test_cats_only.py b/tests/test_cats_only.py
index 469b2fe..91b7b36 100644
--- a/tests/test_cats_only.py
+++ b/tests/test_cats_only.py
@@ -179,70 +179,70 @@ def test_plot_importances(self):
         fig = self.explainer.plot_importances(cats=True)
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_summary(self):
-        fig = self.explainer.plot_shap_summary()
+    def test_plot_shap_detailed(self):
+        fig = self.explainer.plot_shap_detailed()
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_summary(topx=3)
+        fig = self.explainer.plot_shap_detailed(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_summary(cats=True)
+        fig = self.explainer.plot_shap_detailed(cats=True)
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_dependence(self):
-        fig = self.explainer.plot_shap_dependence("Age")
+    def test_plot_dependence(self):
+        fig = self.explainer.plot_dependence("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Sex")
+        fig = self.explainer.plot_dependence("Sex")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Age", "Sex")
+        fig = self.explainer.plot_dependence("Age", "Sex")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Sex_female", "Age")
+        fig = self.explainer.plot_dependence("Sex_female", "Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Age", highlight_index=0)
+        fig = self.explainer.plot_dependence("Age", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Sex", highlight_index=0)
+        fig = self.explainer.plot_dependence("Sex", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Deck", topx=3, sort="freq")
+        fig = self.explainer.plot_dependence("Deck", topx=3, sort="freq")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Deck", topx=3, sort="shap")
+        fig = self.explainer.plot_dependence("Deck", topx=3, sort="shap")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Deck", sort="freq")
+        fig = self.explainer.plot_dependence("Deck", sort="freq")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Deck", sort="shap")
+        fig = self.explainer.plot_dependence("Deck", sort="shap")
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_contributions(self):
-        fig = self.explainer.plot_shap_contributions(0)
+    def test_plot_contributions(self):
+        fig = self.explainer.plot_contributions(0)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, cats=False)
+        fig = self.explainer.plot_contributions(0, cats=False)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, topx=3)
+        fig = self.explainer.plot_contributions(0, topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, sort='high-to-low')
+        fig = self.explainer.plot_contributions(0, sort='high-to-low')
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, sort='low-to-high')
+        fig = self.explainer.plot_contributions(0, sort='low-to-high')
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, sort='importance')
+        fig = self.explainer.plot_contributions(0, sort='importance')
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(X_row=self.explainer.X.iloc[[0]])
+        fig = self.explainer.plot_contributions(X_row=self.explainer.X.iloc[[0]])
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(X_row=self.explainer.X_cats.iloc[[0]])
+        fig = self.explainer.plot_contributions(X_row=self.explainer.X_cats.iloc[[0]])
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_pdp(self):
@@ -528,73 +528,73 @@ def test_plot_importances(self):
         fig = self.explainer.plot_importances(cats=True)
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_contributions(self):
-        fig = self.explainer.plot_shap_contributions(0)
+    def test_plot_contributions(self):
+        fig = self.explainer.plot_contributions(0)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, cats=False)
+        fig = self.explainer.plot_contributions(0, cats=False)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, topx=3)
+        fig = self.explainer.plot_contributions(0, topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, cutoff=0.05)
+        fig = self.explainer.plot_contributions(0, cutoff=0.05)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, sort='high-to-low')
+        fig = self.explainer.plot_contributions(0, sort='high-to-low')
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, sort='low-to-high')
+        fig = self.explainer.plot_contributions(0, sort='low-to-high')
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, sort='importance')
+        fig = self.explainer.plot_contributions(0, sort='importance')
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(X_row=self.explainer.X.iloc[[0]], sort='importance')
+        fig = self.explainer.plot_contributions(X_row=self.explainer.X.iloc[[0]], sort='importance')
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(X_row=self.explainer.X_cats.iloc[[0]], sort='importance')
+        fig = self.explainer.plot_contributions(X_row=self.explainer.X_cats.iloc[[0]], sort='importance')
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_summary(self):
-        fig = self.explainer.plot_shap_summary()
+    def test_plot_shap_detailed(self):
+        fig = self.explainer.plot_shap_detailed()
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_summary(topx=3)
+        fig = self.explainer.plot_shap_detailed(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_summary(cats=True)
+        fig = self.explainer.plot_shap_detailed(cats=True)
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_dependence(self):
-        fig = self.explainer.plot_shap_dependence("Age")
+    def test_plot_dependence(self):
+        fig = self.explainer.plot_dependence("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Sex_female")
+        fig = self.explainer.plot_dependence("Sex_female")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Age", "Sex")
+        fig = self.explainer.plot_dependence("Age", "Sex")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Sex_female", "Age")
+        fig = self.explainer.plot_dependence("Sex_female", "Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Age", highlight_index=0)
+        fig = self.explainer.plot_dependence("Age", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Sex", highlight_index=0)
+        fig = self.explainer.plot_dependence("Sex", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Deck", topx=3, sort="freq")
+        fig = self.explainer.plot_dependence("Deck", topx=3, sort="freq")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Deck", topx=3, sort="shap")
+        fig = self.explainer.plot_dependence("Deck", topx=3, sort="shap")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Deck", sort="freq")
+        fig = self.explainer.plot_dependence("Deck", sort="freq")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Deck", sort="shap")
+        fig = self.explainer.plot_dependence("Deck", sort="shap")
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_pdp(self):
diff --git a/tests/test_classifier_base.py b/tests/test_classifier_base.py
index 4a85e89..b6402be 100644
--- a/tests/test_classifier_base.py
+++ b/tests/test_classifier_base.py
@@ -196,105 +196,105 @@ def test_plot_importances(self):
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_interactions(self):
-        fig = self.explainer.plot_interactions("Age")
+        fig = self.explainer.plot_interactions_importance("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_interactions("Sex_female")
+        fig = self.explainer.plot_interactions_importance("Sex_female")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_interactions("Age")
+        fig = self.explainer.plot_interactions_importance("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_interactions("Gender")
+        fig = self.explainer.plot_interactions_importance("Gender")
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_contributions(self):
-        fig = self.explainer.plot_shap_contributions(0)
+    def test_plot_contributions(self):
+        fig = self.explainer.plot_contributions(0)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, cats=False)
+        fig = self.explainer.plot_contributions(0, cats=False)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, topx=3)
+        fig = self.explainer.plot_contributions(0, topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, cutoff=0.05)
+        fig = self.explainer.plot_contributions(0, cutoff=0.05)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, sort='high-to-low')
+        fig = self.explainer.plot_contributions(0, sort='high-to-low')
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, sort='low-to-high')
+        fig = self.explainer.plot_contributions(0, sort='low-to-high')
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, sort='importance')
+        fig = self.explainer.plot_contributions(0, sort='importance')
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(X_row=self.explainer.X.iloc[[0]], sort='importance')
+        fig = self.explainer.plot_contributions(X_row=self.explainer.X.iloc[[0]], sort='importance')
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(X_row=self.explainer.X_cats.iloc[[0]], sort='importance')
+        fig = self.explainer.plot_contributions(X_row=self.explainer.X_cats.iloc[[0]], sort='importance')
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_summary(self):
-        fig = self.explainer.plot_shap_summary()
+    def test_plot_shap_detailed(self):
+        fig = self.explainer.plot_shap_detailed()
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_summary(topx=3)
+        fig = self.explainer.plot_shap_detailed(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_summary(cats=True)
+        fig = self.explainer.plot_shap_detailed(cats=True)
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_interaction_summary(self):
-        fig = self.explainer.plot_shap_interaction_summary("Age")
+    def test_plot_interactions_detailed(self):
+        fig = self.explainer.plot_interactions_detailed("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_interaction_summary("Age", topx=3)
+        fig = self.explainer.plot_interactions_detailed("Age", topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_interaction_summary("Age")
+        fig = self.explainer.plot_interactions_detailed("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_interaction_summary("Sex_female", topx=3)
+        fig = self.explainer.plot_interactions_detailed("Sex_female", topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_interaction_summary("Gender")
+        fig = self.explainer.plot_interactions_detailed("Gender")
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_dependence(self):
-        fig = self.explainer.plot_shap_dependence("Age")
+    def test_plot_dependence(self):
+        fig = self.explainer.plot_dependence("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Sex_female")
+        fig = self.explainer.plot_dependence("Sex_female")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Age", "Gender")
+        fig = self.explainer.plot_dependence("Age", "Gender")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Sex_female", "Age")
+        fig = self.explainer.plot_dependence("Sex_female", "Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Age", highlight_index=0)
+        fig = self.explainer.plot_dependence("Age", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Gender", highlight_index=0)
+        fig = self.explainer.plot_dependence("Gender", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_interaction(self):
-        fig = self.explainer.plot_shap_dependence("Age", "Sex_female")
+    def test_plot_interaction(self):
+        fig = self.explainer.plot_dependence("Age", "Sex_female")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Sex_female", "Age")
+        fig = self.explainer.plot_dependence("Sex_female", "Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Gender", "Age")
+        fig = self.explainer.plot_dependence("Gender", "Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Age", "Gender")
+        fig = self.explainer.plot_dependence("Age", "Gender")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Age", "Sex_female", highlight_index=0)
+        fig = self.explainer.plot_dependence("Age", "Sex_female", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_pdp(self):
diff --git a/tests/test_multiclass.py b/tests/test_multiclass.py
index 99b0868..637f681 100644
--- a/tests/test_multiclass.py
+++ b/tests/test_multiclass.py
@@ -143,90 +143,90 @@ def test_plot_importances(self):
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_interactions(self):
-        fig = self.explainer.plot_interactions("Age")
+        fig = self.explainer.plot_interactions_importance("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_interactions("Sex_female")
+        fig = self.explainer.plot_interactions_importance("Sex_female")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_interactions("Age")
+        fig = self.explainer.plot_interactions_importance("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_interactions("Gender")
+        fig = self.explainer.plot_interactions_importance("Gender")
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_contributions(self):
-        fig = self.explainer.plot_shap_contributions(0)
+    def test_plot_contributions(self):
+        fig = self.explainer.plot_contributions(0)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, cats=False)
+        fig = self.explainer.plot_contributions(0, cats=False)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, topx=3)
+        fig = self.explainer.plot_contributions(0, topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, cutoff=0.05)
+        fig = self.explainer.plot_contributions(0, cutoff=0.05)
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_summary(self):
-        fig = self.explainer.plot_shap_summary()
+    def test_plot_shap_detailed(self):
+        fig = self.explainer.plot_shap_detailed()
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_summary(topx=3)
+        fig = self.explainer.plot_shap_detailed(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_summary(cats=True)
+        fig = self.explainer.plot_shap_detailed(cats=True)
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_interaction_summary(self):
-        fig = self.explainer.plot_shap_interaction_summary("Age")
+    def test_plot_interactions_detailed(self):
+        fig = self.explainer.plot_interactions_detailed("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_interaction_summary("Age", topx=3)
+        fig = self.explainer.plot_interactions_detailed("Age", topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_interaction_summary("Age")
+        fig = self.explainer.plot_interactions_detailed("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_interaction_summary("Sex_female", topx=3)
+        fig = self.explainer.plot_interactions_detailed("Sex_female", topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_interaction_summary("Gender")
+        fig = self.explainer.plot_interactions_detailed("Gender")
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_dependence(self):
-        fig = self.explainer.plot_shap_dependence("Age")
+    def test_plot_dependence(self):
+        fig = self.explainer.plot_dependence("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Sex_female")
+        fig = self.explainer.plot_dependence("Sex_female")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Age", "Gender")
+        fig = self.explainer.plot_dependence("Age", "Gender")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Sex_female", "Age")
+        fig = self.explainer.plot_dependence("Sex_female", "Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Age", highlight_index=0)
+        fig = self.explainer.plot_dependence("Age", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Gender", highlight_index=0)
+        fig = self.explainer.plot_dependence("Gender", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_interaction(self):
-        fig = self.explainer.plot_shap_dependence("Age", "Sex_female")
+    def test_plot_interaction(self):
+        fig = self.explainer.plot_dependence("Age", "Sex_female")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Sex_female", "Age")
+        fig = self.explainer.plot_dependence("Sex_female", "Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Gender", "Age")
+        fig = self.explainer.plot_dependence("Gender", "Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Age", "Gender")
+        fig = self.explainer.plot_dependence("Age", "Gender")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Age", "Sex_female", highlight_index=0)
+        fig = self.explainer.plot_dependence("Age", "Sex_female", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_pdp(self):
diff --git a/tests/test_randomforest_explainer.py b/tests/test_randomforest_explainer.py
index c668c47..d61bb89 100644
--- a/tests/test_randomforest_explainer.py
+++ b/tests/test_randomforest_explainer.py
@@ -39,10 +39,10 @@ def test_decision_trees(self):
         self.assertIsInstance(dt[0], dtreeviz.models.shadow_decision_tree.ShadowDecTree)
 
     def test_decisiontree_df(self):
-        df = self.explainer.decisiontree_df(tree_idx=0, index=0)
+        df = self.explainer.decisionpath_df(tree_idx=0, index=0)
         self.assertIsInstance(df, pd.DataFrame)
 
-        df = self.explainer.decisiontree_df(tree_idx=0, index=self.names[0])
+        df = self.explainer.decisionpath_df(tree_idx=0, index=self.names[0])
         self.assertIsInstance(df, pd.DataFrame)
 
     def test_plot_trees(self):
@@ -85,10 +85,10 @@ def test_decision_trees(self):
         self.assertIsInstance(dt[0], dtreeviz.models.shadow_decision_tree.ShadowDecTree)
 
     def test_decisiontree_df(self):
-        df = self.explainer.decisiontree_df(tree_idx=0, index=0)
+        df = self.explainer.decisionpath_df(tree_idx=0, index=0)
         self.assertIsInstance(df, pd.DataFrame)
 
-        df = self.explainer.decisiontree_df(tree_idx=0, index=self.names[0])
+        df = self.explainer.decisionpath_df(tree_idx=0, index=self.names[0])
         self.assertIsInstance(df, pd.DataFrame)
 
     def test_plot_trees(self):
diff --git a/tests/test_regression_base.py b/tests/test_regression_base.py
index 3c09a05..bcd972f 100644
--- a/tests/test_regression_base.py
+++ b/tests/test_regression_base.py
@@ -193,121 +193,121 @@ def test_plot_importances(self):
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_interactions(self):
-        fig = self.explainer.plot_interactions("Age")
+        fig = self.explainer.plot_interactions_importance("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_interactions("Sex_female")
+        fig = self.explainer.plot_interactions_importance("Sex_female")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_interactions("Age")
+        fig = self.explainer.plot_interactions_importance("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_interactions("Gender")
+        fig = self.explainer.plot_interactions_importance("Gender")
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_shap_interactions(self):
-        fig = self.explainer.plot_shap_contributions(0)
+        fig = self.explainer.plot_contributions(0)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, cats=False)
+        fig = self.explainer.plot_contributions(0, cats=False)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, topx=3)
+        fig = self.explainer.plot_contributions(0, topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, cutoff=0.05)
+        fig = self.explainer.plot_contributions(0, cutoff=0.05)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, sort='high-to-low')
+        fig = self.explainer.plot_contributions(0, sort='high-to-low')
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, sort='low-to-high')
+        fig = self.explainer.plot_contributions(0, sort='low-to-high')
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, sort='importance')
+        fig = self.explainer.plot_contributions(0, sort='importance')
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_summary(self):
-        fig = self.explainer.plot_shap_summary()
+    def test_plot_shap_detailed(self):
+        fig = self.explainer.plot_shap_detailed()
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_summary(topx=3)
+        fig = self.explainer.plot_shap_detailed(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_summary(cats=True)
+        fig = self.explainer.plot_shap_detailed(cats=True)
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_interaction_summary(self):
-        fig = self.explainer.plot_shap_interaction_summary("Age")
+    def test_plot_interactions_detailed(self):
+        fig = self.explainer.plot_interactions_detailed("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_interaction_summary("Age", topx=3)
+        fig = self.explainer.plot_interactions_detailed("Age", topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_interaction_summary("Age", cats=True)
+        fig = self.explainer.plot_interactions_detailed("Age", cats=True)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_interaction_summary("Sex_female", topx=3)
+        fig = self.explainer.plot_interactions_detailed("Sex_female", topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_interaction_summary("Gender", cats=True)
+        fig = self.explainer.plot_interactions_detailed("Gender", cats=True)
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_dependence(self):
-        fig = self.explainer.plot_shap_dependence("Age")
+    def test_plot_dependence(self):
+        fig = self.explainer.plot_dependence("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Gender")
+        fig = self.explainer.plot_dependence("Gender")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Age", "Gender")
+        fig = self.explainer.plot_dependence("Age", "Gender")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Sex_female", "Age")
+        fig = self.explainer.plot_dependence("Sex_female", "Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Age", highlight_index=0)
+        fig = self.explainer.plot_dependence("Age", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_dependence("Gender", highlight_index=0)
+        fig = self.explainer.plot_dependence("Gender", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_contributions(self):
-        fig = self.explainer.plot_shap_contributions(0)
+    def test_plot_contributions(self):
+        fig = self.explainer.plot_contributions(0)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, cats=False)
+        fig = self.explainer.plot_contributions(0, cats=False)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, topx=3)
+        fig = self.explainer.plot_contributions(0, topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, sort='high-to-low')
+        fig = self.explainer.plot_contributions(0, sort='high-to-low')
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, sort='low-to-high')
+        fig = self.explainer.plot_contributions(0, sort='low-to-high')
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(0, sort='importance')
+        fig = self.explainer.plot_contributions(0, sort='importance')
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(X_row=self.explainer.X.iloc[[0]])
+        fig = self.explainer.plot_contributions(X_row=self.explainer.X.iloc[[0]])
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_contributions(X_row=self.explainer.X_cats.iloc[[0]])
+        fig = self.explainer.plot_contributions(X_row=self.explainer.X_cats.iloc[[0]])
         self.assertIsInstance(fig, go.Figure)
 
-    def test_plot_shap_interaction(self):
-        fig = self.explainer.plot_shap_interaction("Age", "Sex_female")
+    def test_plot_interaction(self):
+        fig = self.explainer.plot_interaction("Age", "Sex_female")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_interaction("Sex_female", "Age")
+        fig = self.explainer.plot_interaction("Sex_female", "Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_interaction("Gender", "Age")
+        fig = self.explainer.plot_interaction("Gender", "Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_interaction("Age", "Sex_female", highlight_index=0)
+        fig = self.explainer.plot_interaction("Age", "Sex_female", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_pdp(self):
diff --git a/tests/test_xgboost_explainer.py b/tests/test_xgboost_explainer.py
index 765ed4a..e551ad4 100644
--- a/tests/test_xgboost_explainer.py
+++ b/tests/test_xgboost_explainer.py
@@ -37,10 +37,10 @@ def test_decision_trees(self):
         self.assertIsInstance(dt[0], dtreeviz.models.shadow_decision_tree.ShadowDecTree)
 
     def test_decisiontree_df(self):
-        df = self.explainer.decisiontree_df(tree_idx=0, index=0)
+        df = self.explainer.decisionpath_df(tree_idx=0, index=0)
         self.assertIsInstance(df, pd.DataFrame)
 
-        df = self.explainer.decisiontree_df(tree_idx=0, index=self.names[0])
+        df = self.explainer.decisionpath_df(tree_idx=0, index=self.names[0])
         self.assertIsInstance(df, pd.DataFrame)
 
     def test_plot_trees(self):
@@ -81,13 +81,13 @@ def test_decision_trees(self):
         self.assertIsInstance(dt[0], dtreeviz.models.shadow_decision_tree.ShadowDecTree)
 
     def test_decisiontree_df(self):
-        df = self.explainer.decisiontree_df(tree_idx=0, index=0)
+        df = self.explainer.decisionpath_df(tree_idx=0, index=0)
         self.assertIsInstance(df, pd.DataFrame)
 
-        df = self.explainer.decisiontree_df(tree_idx=0, index=self.names[0])
+        df = self.explainer.decisionpath_df(tree_idx=0, index=self.names[0])
         self.assertIsInstance(df, pd.DataFrame)
 
-        df = self.explainer.decisiontree_df(tree_idx=0, index=self.names[0], pos_label=0)
+        df = self.explainer.decisionpath_df(tree_idx=0, index=self.names[0], pos_label=0)
         self.assertIsInstance(df, pd.DataFrame)
 
 
@@ -134,10 +134,10 @@ def test_decision_trees(self):
         self.assertIsInstance(dt[0], dtreeviz.models.shadow_decision_tree.ShadowDecTree)
 
     def test_decisiontree_df(self):
-        df = self.explainer.decisiontree_df(tree_idx=0, index=0)
+        df = self.explainer.decisionpath_df(tree_idx=0, index=0)
         self.assertIsInstance(df, pd.DataFrame)
 
-        df = self.explainer.decisiontree_df(tree_idx=0, index=self.names[0])
+        df = self.explainer.decisionpath_df(tree_idx=0, index=self.names[0])
         self.assertIsInstance(df, pd.DataFrame)
 
     def test_plot_trees(self):

From 9880921f915f402911be66c8e1f96eb53e2fef4e Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Wed, 20 Jan 2021 16:31:11 +0100
Subject: [PATCH 09/28] fixed 0.3 tests

---
 RELEASE_NOTES.md                           |   3 +
 TODO.md                                    |   7 +-
 explainerdashboard/explainers.py           |  17 +-
 requirements.txt                           |   2 +-
 setup.py                                   |   2 +-
 tests/integration_tests/test_dashboards.py |   8 +-
 tests/test_boosting_models.py              | 173 ++++++---------
 tests/test_cats_only.py                    | 243 ++++-----------------
 tests/test_classifier_base.py              | 126 +++--------
 tests/test_classifier_explainer.py         |  20 +-
 tests/test_decisiontrees.py                | 108 ++++-----
 tests/test_linear_model.py                 |  75 ++-----
 tests/test_multiclass.py                   | 101 ++-------
 tests/test_njobs.py                        |   6 +-
 tests/test_pickle.py                       |  97 --------
 tests/test_pipelines.py                    |  18 +-
 tests/test_randomforest_explainer.py       |  19 +-
 tests/test_regression_base.py              | 117 +++-------
 tests/test_regression_explainer.py         |  11 +-
 tests/test_xgboost_explainer.py            |  18 +-
 20 files changed, 282 insertions(+), 889 deletions(-)
 delete mode 100644 tests/test_pickle.py

diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index 38574fc..85b99c6 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -14,8 +14,11 @@
     - `BaseExplainer`:
         - `self.shap_values_cats`
         - `self.shap_interaction_values_cats`
+        - `self.get_dfs()`
+        - `self.to_sql()`
     - `ClassifierExplainer`:
         - `get_prop_for_label`
+
 - Naming changes:
     - `BaseExplainer`:
         - `self.get_int_idx(index)` -> `self.get_idx(index)`
diff --git a/TODO.md b/TODO.md
index bfde36a..629e974 100644
--- a/TODO.md
+++ b/TODO.md
@@ -4,9 +4,10 @@
 ## Version 0.3:
 - check all register_dependencies()
 - add option drop encoded cols
-- add options drop non-pos label
-- reorder methods
-- remove plot_SHAP_dependence, etc
+- add v03 check
+- add deprecation warnings for old methods
+- update tutorial notebooks
+
 ## Bugs:
 
 
diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index eec0021..958ced7 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -209,7 +209,6 @@ def __init__(self, model, X, y=None, permutation_metric=r2_score,
         else:
             self.idxs.name = index_name.capitalize()
             self.index_name = index_name.capitalize()
-
         self.descriptions = {} if descriptions is None else descriptions
         self.target = target if target is not None else self.y.name
         self.n_jobs = n_jobs
@@ -225,6 +224,7 @@ def __init__(self, model, X, y=None, permutation_metric=r2_score,
             self.interactions_should_work = False
         if not hasattr(self, "interactions_should_work"):
             self.interactions_should_work = True
+        self.__version__ = "0.3"
 
     @classmethod
     def from_file(cls, filepath):
@@ -586,10 +586,10 @@ def ordered_cats(self, col, topx=None, sort='alphabet', pos_label=None):
                 return X[col].value_counts().nlargest(topx).index.tolist()
         elif sort=='shap':
             if topx is None:
-                return (pd.Series(self.shap_values_df(pos_label)[col].values, index=self.X_cats[col].values)
+                return (pd.Series(self.shap_values_df(pos_label)[col].values, index=self.get_col(col))
                             .abs().groupby(level=0).mean().sort_values(ascending=False).index.tolist())
             else:
-                return (pd.Series(self.shap_values_df(pos_label)[col].values, index=self.X_cats[col].values)
+                return (pd.Series(self.shap_values_df(pos_label)[col].values, index=self.get_col(col))
                             .abs().groupby(level=0).mean().sort_values(ascending=False).nlargest(topx).index.tolist())
         else:
             raise ValueError(f"sort='{sort}', but should be in {{'alphabet', 'freq', 'shap'}}")
@@ -696,7 +696,7 @@ def shap_base_value(self, pos_label=None):
         if not hasattr(self, '_shap_base_value'):
             # CatBoost needs shap values calculated before expected value
             if not hasattr(self, "_shap_values"):
-                _ = self.shap_values_df
+                _ = self.shap_values_df()
             self._shap_base_value = self.shap_explainer.expected_value
             if isinstance(self._shap_base_value, np.ndarray):
                 # shap library now returns an array instead of float
@@ -1520,7 +1520,8 @@ def __init__(self, model,  X, y=None,  permutation_metric=roc_auc_score,
 
         self._params_dict = {**self._params_dict, **dict(
             labels=labels, pos_label=pos_label)}
-        self.y = self.y.astype("int16")
+        
+        self.y = self.y.astype('Int64')
         if self.categorical_cols and model_output == 'probability':
             print("Warning: Models that deal with categorical features directly "
                 f"such as {self.model.__class__.__name__} are incompatible with model_output='probability'"
@@ -1557,7 +1558,7 @@ def pos_label(self, label):
         if label is None or (isinstance(label, int) and label >=0 and label <len(self.labels)):
             self._pos_label = label
         elif isinstance(label, str) and label in self.labels:
-            self._pos_label = pos_label_index(label)
+            self._pos_label = self.pos_label_index(label)
         else:
             raise ValueError(f"'{label}' not in labels")
 
@@ -2273,7 +2274,7 @@ def residuals(self):
         if not hasattr(self, '_residuals'):
             print("Calculating residuals...")
             self._residuals =  (self.y-self.preds).astype(self.precision)
-        return self._residuals.ast
+        return self._residuals
 
     @property
     def abs_residuals(self):
@@ -2918,7 +2919,7 @@ def plot_trees(self, index, highlight_tree=None, round=2,
             y = self.get_y(index)
             y = 100 * int(y == pos_label) if y is not None else y
             xgboost_preds_df = get_xgboost_preds_df(
-                self.model, self.get_X_Row(index), pos_label=pos_label)
+                self.model, self.get_X_row(index), pos_label=pos_label)
             return plotly_xgboost_trees(xgboost_preds_df, 
                             y=y, 
                             highlight_tree=highlight_tree, 
diff --git a/requirements.txt b/requirements.txt
index 256b8b1..14a3147 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -4,7 +4,7 @@ dash-auth
 jupyter_dash
 dtreeviz
 numpy
-pandas
+pandas>=0.24
 scikit-learn
 shap>=0.37
 shortuuid
diff --git a/setup.py b/setup.py
index 8b2e895..858116d 100644
--- a/setup.py
+++ b/setup.py
@@ -69,7 +69,7 @@
         "Intended Audience :: Education",
         "Topic :: Scientific/Engineering :: Artificial Intelligence"],
     install_requires=['dash', 'dash-bootstrap-components', 'jupyter_dash', 'dash-auth',
-                    'dtreeviz>=1.0', 'numpy', 'pandas', 'scikit-learn', 
+                    'dtreeviz>=1.0', 'numpy', 'pandas>=0.24', 'scikit-learn', 
                     'shap>=0.37', 'shortuuid', 'joblib', 'oyaml', 'click', 'waitress',
                     'flask_simplelogin'],
     entry_points={
diff --git a/tests/integration_tests/test_dashboards.py b/tests/integration_tests/test_dashboards.py
index 0ec9fc7..8dde1f6 100644
--- a/tests/integration_tests/test_dashboards.py
+++ b/tests/integration_tests/test_dashboards.py
@@ -99,9 +99,9 @@ def get_catboost_classifier():
                         labels=['Not survived', 'Survived'],
                         idxs=test_names)
 
-    X_cats, y_cats = explainer.X_cats, explainer.y
+    X_cats, y_cats = explainer.X_merged, explainer.y
     model = CatBoostClassifier(iterations=5, verbose=0).fit(X_cats, y_cats, cat_features=[5, 6, 7])
-    explainer = ClassifierExplainer(model, X_cats, y_cats)
+    explainer = ClassifierExplainer(model, X_cats, y_cats, idxs=X_test.index)
     explainer.calculate_properties(include_interactions=False)
     return explainer
 
@@ -112,9 +112,9 @@ def get_catboost_regressor():
     model = CatBoostRegressor(iterations=5, verbose=0).fit(X_train, y_train)
     explainer = RegressionExplainer(model, X_test, y_test, 
                                     cats=["Sex", 'Deck', 'Embarked'])
-    X_cats, y_cats = explainer.X_cats, explainer.y
+    X_cats, y_cats = explainer.X_merged, explainer.y
     model = CatBoostRegressor(iterations=5, verbose=0).fit(X_cats, y_cats, cat_features=[5, 6, 7])
-    explainer = RegressionExplainer(model, X_cats, y_cats)
+    explainer = RegressionExplainer(model, X_cats, y_cats, idxs=X_test.index)
     explainer.calculate_properties(include_interactions=False)
     return explainer
 
diff --git a/tests/test_boosting_models.py b/tests/test_boosting_models.py
index c242f76..75fa6d5 100644
--- a/tests/test_boosting_models.py
+++ b/tests/test_boosting_models.py
@@ -3,7 +3,6 @@
 import pandas as pd
 import numpy as np
 
-from sklearn.metrics import r2_score, roc_auc_score
 
 from xgboost import XGBClassifier, XGBRegressor
 from lightgbm.sklearn import LGBMClassifier, LGBMRegressor
@@ -24,35 +23,27 @@ def setUp(self):
         model = XGBRegressor()
         model.fit(X_train, y_train)
         self.explainer = RegressionExplainer(model, X_test, y_test, 
-                                        cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 
-                                                'Deck', 'Embarked'],
-                                        units="$")
+                            cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 
+                                    'Deck', 'Embarked'],
+                            units="$")
 
     def test_preds(self):
         self.assertIsInstance(self.explainer.preds, np.ndarray)
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
 
     def test_shap_base_value(self):
-        self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float))
+        self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns)))
+        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray)
-
-    # @unittest.expectedFailure
-    # def test_shap_interaction_values(self):
-    #     self.assertIsInstance(self.explainer.shap_interaction_values, np.ndarray)
-    #     self.assertIsInstance(self.explainer.shap_interaction_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
 
     def test_mean_abs_shap(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame)
-        self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties(include_interactions=False)
@@ -74,7 +65,7 @@ def setUp(self):
 
         model = LGBMRegressor()
         model.fit(X_train, y_train)
-        self.explainer = RegressionExplainer(model, X_test, y_test, r2_score, 
+        self.explainer = RegressionExplainer(model, X_test, y_test, 
                                         shap='tree', 
                                         cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 
                                                 'Deck', 'Embarked'],
@@ -84,29 +75,22 @@ def test_preds(self):
         self.assertIsInstance(self.explainer.preds, np.ndarray)
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
 
     def test_shap_base_value(self):
-        self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float))
+        self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns)))
+        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray)
-
-    # def test_shap_interaction_values(self):
-    #     self.assertIsInstance(self.explainer.shap_interaction_values, np.ndarray)
-    #     self.assertIsInstance(self.explainer.shap_interaction_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
 
     def test_mean_abs_shap(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame)
-        self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
-        self.explainer.calculate_properties(include_interactions=True)
+        self.explainer.calculate_properties(include_interactions=False)
 
     def test_pdp_df(self):
         self.assertIsInstance(self.explainer.pdp_df("Age"), pd.DataFrame)
@@ -115,6 +99,7 @@ def test_pdp_df(self):
         self.assertIsInstance(self.explainer.pdp_df("Age", index=0), pd.DataFrame)
         self.assertIsInstance(self.explainer.pdp_df("Gender", index=0), pd.DataFrame)
 
+
 class CatBoostRegressionTests(unittest.TestCase):
     def setUp(self):
         X_train, y_train, X_test, y_test = titanic_fare()
@@ -123,10 +108,10 @@ def setUp(self):
         train_names, test_names = titanic_names()
         _, self.names = titanic_names()
 
-        model = CatBoostRegressor(iterations=100, learning_rate=0.1, verbose=0)
+        model = CatBoostRegressor(iterations=5, learning_rate=0.1, verbose=0)
         model.fit(X_train, y_train)
 
-        self.explainer = RegressionExplainer(model, X_test, y_test, r2_score, 
+        self.explainer = RegressionExplainer(model, X_test, y_test,
                                         cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 
                                                 'Deck', 'Embarked'],
                                         idxs=test_names, units="$")
@@ -135,27 +120,19 @@ def test_preds(self):
         self.assertIsInstance(self.explainer.preds, np.ndarray)
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
 
     def test_shap_base_value(self):
-        self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float))
+        self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns)))
+        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray)
-
-    # @unittest.expectedFailure
-    # def test_shap_interaction_values(self):
-    #     self.assertIsInstance(self.explainer.shap_interaction_values, np.ndarray)
-    #     self.assertIsInstance(self.explainer.shap_interaction_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
 
     def test_mean_abs_shap(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame)
-        self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties(include_interactions=False)
@@ -186,35 +163,28 @@ def test_preds(self):
         self.assertIsInstance(self.explainer.preds, np.ndarray)
 
     def test_pred_probas(self):
-        self.assertIsInstance(self.explainer.pred_probas, np.ndarray)
+        self.assertIsInstance(self.explainer.pred_probas(), np.ndarray)
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
 
     def test_shap_base_value(self):
-        self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float))
+        self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns)))
+        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
 
     def test_shap_values_all_probabilities(self):
-        self.assertTrue(self.explainer.shap_base_value >= 0)
-        self.assertTrue(self.explainer.shap_base_value <= 1)
-        self.assertTrue(np.all(self.explainer.shap_values.sum(axis=1) + self.explainer.shap_base_value >= 0))
-        self.assertTrue(np.all(self.explainer.shap_values.sum(axis=1) + self.explainer.shap_base_value <= 1))
-
-    # def test_shap_interaction_values(self):
-    #     self.assertIsInstance(self.explainer.shap_interaction_values, np.ndarray)
-    #     self.assertIsInstance(self.explainer.shap_interaction_values_cats, np.ndarray)
+        self.assertTrue(self.explainer.shap_base_value() >= 0)
+        self.assertTrue(self.explainer.shap_base_value() <= 1)
+        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() >= 0))
+        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() <= 1))
 
     def test_mean_abs_shap(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame)
-        self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties(include_interactions=False)
@@ -238,8 +208,9 @@ def test_precision_df(self):
     def test_lift_curve_df(self):
         self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame)
 
-    def test_prediction_result_markdown(self):
-        self.assertIsInstance(self.explainer.prediction_result_markdown(0), str)
+    def test_prediction_result_df(self):
+        self.assertIsInstance(self.explainer.prediction_result_df(0), pd.DataFrame)
+
 
 
 class LGBMClassifierTests(unittest.TestCase):
@@ -251,7 +222,7 @@ def setUp(self):
         model.fit(X_train, y_train)
 
         self.explainer = ClassifierExplainer(
-                            model, X_test, y_test, roc_auc_score, 
+                            model, X_test, y_test, 
                             cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 
                                                 'Deck', 'Embarked'],
                             labels=['Not survived', 'Survived'],
@@ -261,36 +232,28 @@ def test_preds(self):
         self.assertIsInstance(self.explainer.preds, np.ndarray)
 
     def test_pred_probas(self):
-        self.assertIsInstance(self.explainer.pred_probas, np.ndarray)
+        self.assertIsInstance(self.explainer.pred_probas(), np.ndarray)
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
 
     def test_shap_base_value(self):
-        self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float))
+        self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns)))
+        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray)
-
-    # @unittest.expectedFailure
-    # def test_shap_interaction_values(self):
-    #     self.assertIsInstance(self.explainer.shap_interaction_values, np.ndarray)
-    #     self.assertIsInstance(self.explainer.shap_interaction_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
 
     def test_shap_values_all_probabilities(self):
-        self.assertTrue(self.explainer.shap_base_value >= 0)
-        self.assertTrue(self.explainer.shap_base_value <= 1)
-        self.assertTrue(np.all(self.explainer.shap_values.sum(axis=1) + self.explainer.shap_base_value >= 0))
-        self.assertTrue(np.all(self.explainer.shap_values.sum(axis=1) + self.explainer.shap_base_value <= 1))
+        self.assertTrue(self.explainer.shap_base_value() >= 0)
+        self.assertTrue(self.explainer.shap_base_value() <= 1)
+        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() >= 0))
+        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() <= 1))
 
     def test_mean_abs_shap(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame)
-        self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties(include_interactions=False)
@@ -314,8 +277,9 @@ def test_precision_df(self):
     def test_lift_curve_df(self):
         self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame)
 
-    def test_prediction_result_markdown(self):
-        self.assertIsInstance(self.explainer.prediction_result_markdown(0), str)
+    def test_prediction_result_df(self):
+        self.assertIsInstance(self.explainer.prediction_result_df(0), pd.DataFrame)
+
 
 
 class CatBoostClassifierTests(unittest.TestCase):
@@ -327,7 +291,7 @@ def setUp(self):
         model.fit(X_train, y_train)
 
         self.explainer = ClassifierExplainer(
-                            model, X_test, y_test, roc_auc_score, 
+                            model, X_test, y_test, 
                             cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 
                                                 'Deck', 'Embarked'],
                             labels=['Not survived', 'Survived'],
@@ -337,36 +301,28 @@ def test_preds(self):
         self.assertIsInstance(self.explainer.preds, np.ndarray)
 
     def test_pred_probas(self):
-        self.assertIsInstance(self.explainer.pred_probas, np.ndarray)
+        self.assertIsInstance(self.explainer.pred_probas(), np.ndarray)
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
 
     def test_shap_base_value(self):
-        self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float))
-
-    def test_shap_values_all_probabilities(self):
-        self.assertTrue(self.explainer.shap_base_value >= 0)
-        self.assertTrue(self.explainer.shap_base_value <= 1)
-        self.assertTrue(np.all(self.explainer.shap_values.sum(axis=1) + self.explainer.shap_base_value >= 0))
-        self.assertTrue(np.all(self.explainer.shap_values.sum(axis=1) + self.explainer.shap_base_value <= 1))
+        self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns)))
+        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
 
-    # @unittest.expectedFailure
-    # def test_shap_interaction_values(self):
-    #     self.assertIsInstance(self.explainer.shap_interaction_values, np.ndarray)
-    #     self.assertIsInstance(self.explainer.shap_interaction_values_cats, np.ndarray)
+    def test_shap_values_all_probabilities(self):
+        self.assertTrue(self.explainer.shap_base_value() >= 0)
+        self.assertTrue(self.explainer.shap_base_value() <= 1)
+        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() >= 0))
+        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() <= 1))
 
     def test_mean_abs_shap(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame)
-        self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties(include_interactions=False)
@@ -390,8 +346,9 @@ def test_precision_df(self):
     def test_lift_curve_df(self):
         self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame)
 
-    def test_prediction_result_markdown(self):
-        self.assertIsInstance(self.explainer.prediction_result_markdown(0), str)
+    def test_prediction_result_df(self):
+        self.assertIsInstance(self.explainer.prediction_result_df(0), pd.DataFrame)
+
 
 
         
\ No newline at end of file
diff --git a/tests/test_cats_only.py b/tests/test_cats_only.py
index 91b7b36..211996a 100644
--- a/tests/test_cats_only.py
+++ b/tests/test_cats_only.py
@@ -2,6 +2,7 @@
 
 import pandas as pd
 import numpy as np
+from pandas.api.types import is_categorical_dtype, is_numeric_dtype
 
 import plotly.graph_objs as go
 
@@ -20,16 +21,16 @@ def setUp(self):
 
         model = CatBoostRegressor(iterations=5, verbose=0).fit(X_train, y_train)
         explainer = RegressionExplainer(model, X_test, y_test, cats=['Deck', 'Embarked'])
-        X_cats, y_cats = explainer.X_cats, explainer.y
+        X_cats, y_cats = explainer.X_merged, explainer.y
         model = CatBoostRegressor(iterations=5, verbose=0).fit(X_cats, y_cats, cat_features=[8, 9])
-        self.explainer = RegressionExplainer(model, X_cats, y_cats, cats=['Sex'])
+        self.explainer = RegressionExplainer(model, X_cats, y_cats, cats=['Sex'], idxs=X_test.index)
 
 
     def test_explainer_len(self):
         self.assertEqual(len(self.explainer), self.test_len)
 
     def test_int_idx(self):
-        self.assertEqual(self.explainer.get_int_idx(self.names[0]), 0)
+        self.assertEqual(self.explainer.get_idx(self.names[0]), 0)
 
     def test_random_index(self):
         self.assertIsInstance(self.explainer.random_index(), int)
@@ -39,20 +40,10 @@ def test_row_from_input(self):
         input_row = self.explainer.get_row_from_input(
             self.explainer.X.iloc[[0]].values.tolist())
         self.assertIsInstance(input_row, pd.DataFrame)
-
-        input_row = self.explainer.get_row_from_input(
-            self.explainer.X_cats.iloc[[0]].values.tolist())
-        self.assertIsInstance(input_row, pd.DataFrame)
-
-        input_row = self.explainer.get_row_from_input(
-            self.explainer.X_cats
-            [self.explainer.columns_ranked_by_shap(cats=True)]
-            .iloc[[0]].values.tolist(), ranked_by_shap=True)
-        self.assertIsInstance(input_row, pd.DataFrame)
         
         input_row = self.explainer.get_row_from_input(
-            self.explainer.X
-            [self.explainer.columns_ranked_by_shap(cats=False)]
+            self.explainer.X_merged
+            [self.explainer.columns_ranked_by_shap()]
             .iloc[[0]].values.tolist(), ranked_by_shap=True)
         self.assertIsInstance(input_row, pd.DataFrame)
 
@@ -64,16 +55,10 @@ def test_preds(self):
         self.assertIsInstance(self.explainer.preds, np.ndarray)
 
     def test_pred_percentiles(self):
-        self.assertIsInstance(self.explainer.pred_percentiles, np.ndarray)
+        self.assertIsInstance(self.explainer.pred_percentiles(), np.ndarray)
 
     def test_columns_ranked_by_shap(self):
         self.assertIsInstance(self.explainer.columns_ranked_by_shap(), list)
-        self.assertIsInstance(self.explainer.columns_ranked_by_shap(cats=True), list)
-
-    def test_equivalent_col(self):
-        self.assertEqual(self.explainer.equivalent_col("Sex_female"), "Sex")
-        self.assertEqual(self.explainer.equivalent_col("Sex"), "Sex_female")
-        self.assertIsNone(self.explainer.equivalent_col("random"))
 
     def test_ordered_cats(self):
         self.assertEqual(self.explainer.ordered_cats("Sex"), ['Sex_female', 'Sex_male'])
@@ -86,69 +71,57 @@ def test_ordered_cats(self):
 
     def test_get_col(self):
         self.assertIsInstance(self.explainer.get_col("Sex"), pd.Series)
-        self.assertEqual(self.explainer.get_col("Sex").dtype, "object")
+        self.assertTrue(is_categorical_dtype(self.explainer.get_col("Sex")))
 
         self.assertIsInstance(self.explainer.get_col("Age"), pd.Series)
-        self.assertEqual(self.explainer.get_col("Age").dtype, np.float)
+        self.assertTrue(is_numeric_dtype(self.explainer.get_col("Age")))
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
 
     def test_X_cats(self):
         self.assertIsInstance(self.explainer.X_cats, pd.DataFrame)
 
-    def test_columns_cats(self):
-        self.assertIsInstance(self.explainer.columns_cats, list)
-
     def test_metrics(self):
         self.assertIsInstance(self.explainer.metrics(), dict)
         self.assertIsInstance(self.explainer.metrics_descriptions(), dict)
 
     def test_mean_abs_shap_df(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_permutation_importances_df(self):
-        self.assertIsInstance(self.explainer.permutation_importances_df(), pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_df(topx=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_df(cats=True), pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_df(cutoff=0.01), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(topx=3), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(cutoff=0.01), pd.DataFrame)
 
     def test_contrib_df(self):
         self.assertIsInstance(self.explainer.contrib_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, cats=False), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_df(0, topx=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, sort='high-to-low'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, sort='low-to-high'), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_df(0, sort='importance'), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(X_row=self.explainer.X_cats.iloc[[0]]), pd.DataFrame)
+
 
 
     def test_contrib_summary_df(self):
         self.assertIsInstance(self.explainer.contrib_summary_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, cats=False), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(0, topx=3), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(0, round=3), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='high-to-low'), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='low-to-high'), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='importance'), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(X_row=self.explainer.X_cats.iloc[[0]]), pd.DataFrame)
 
     def test_shap_base_value(self):
-        self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float))
+        self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns)))
+        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
 
     def test_mean_abs_shap(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame)
-        self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties()
@@ -160,12 +133,6 @@ def test_pdp_df(self):
         self.assertIsInstance(self.explainer.pdp_df("Age", index=0), pd.DataFrame)
         self.assertIsInstance(self.explainer.pdp_df("Sex", index=0), pd.DataFrame)
 
-    def test_get_dfs(self):
-        cols_df, shap_df, contribs_df = self.explainer.get_dfs()
-        self.assertIsInstance(cols_df, pd.DataFrame)
-        self.assertIsInstance(shap_df, pd.DataFrame)
-        self.assertIsInstance(contribs_df, pd.DataFrame)
-
     def test_plot_importances(self):
         fig = self.explainer.plot_importances()
         self.assertIsInstance(fig, go.Figure)
@@ -176,9 +143,6 @@ def test_plot_importances(self):
         fig = self.explainer.plot_importances(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_importances(cats=True)
-        self.assertIsInstance(fig, go.Figure)
-
     def test_plot_shap_detailed(self):
         fig = self.explainer.plot_shap_detailed()
         self.assertIsInstance(fig, go.Figure)
@@ -186,9 +150,6 @@ def test_plot_shap_detailed(self):
         fig = self.explainer.plot_shap_detailed(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_detailed(cats=True)
-        self.assertIsInstance(fig, go.Figure)
-
     def test_plot_dependence(self):
         fig = self.explainer.plot_dependence("Age")
         self.assertIsInstance(fig, go.Figure)
@@ -199,9 +160,6 @@ def test_plot_dependence(self):
         fig = self.explainer.plot_dependence("Age", "Sex")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_dependence("Sex_female", "Age")
-        self.assertIsInstance(fig, go.Figure)
-
         fig = self.explainer.plot_dependence("Age", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
@@ -224,9 +182,6 @@ def test_plot_contributions(self):
         fig = self.explainer.plot_contributions(0)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_contributions(0, cats=False)
-        self.assertIsInstance(fig, go.Figure)
-
         fig = self.explainer.plot_contributions(0, topx=3)
         self.assertIsInstance(fig, go.Figure)
 
@@ -242,9 +197,6 @@ def test_plot_contributions(self):
         fig = self.explainer.plot_contributions(X_row=self.explainer.X.iloc[[0]])
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_contributions(X_row=self.explainer.X_cats.iloc[[0]])
-        self.assertIsInstance(fig, go.Figure)
-
     def test_plot_pdp(self):
         fig = self.explainer.plot_pdp("Age")
         self.assertIsInstance(fig, go.Figure)
@@ -261,9 +213,6 @@ def test_plot_pdp(self):
         fig = self.explainer.plot_pdp("Age", X_row=self.explainer.X.iloc[[0]])
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_pdp("Age", X_row=self.explainer.X_cats.iloc[[0]])
-        self.assertIsInstance(fig, go.Figure)
-
     def test_yaml(self):
         yaml = self.explainer.to_yaml()
         self.assertIsInstance(yaml, str)
@@ -271,12 +220,6 @@ def test_yaml(self):
     def test_residuals(self):
         self.assertIsInstance(self.explainer.residuals, pd.Series)
 
-    def test_prediction_result_markdown(self):
-        result_index = self.explainer.prediction_result_markdown(0)
-        self.assertIsInstance(result_index, str)
-        result_name = self.explainer.prediction_result_markdown(self.names[0])
-        self.assertIsInstance(result_name, str)
-
     def test_metrics(self):
         metrics_dict = self.explainer.metrics()
         self.assertIsInstance(metrics_dict, dict)
@@ -365,16 +308,18 @@ def setUp(self):
                             cats=['Deck', 'Embarked'],
                             labels=['Not survived', 'Survived'])
 
-        X_cats, y_cats = explainer.X_cats, explainer.y
+        X_cats, y_cats = explainer.X_merged, explainer.y
         model = CatBoostClassifier(iterations=5, verbose=0).fit(X_cats, y_cats, cat_features=[8, 9])
         self.explainer = ClassifierExplainer(model, X_cats, y_cats, 
-                                cats=['Sex'], labels=['Not survived', 'Survived'])
+                                cats=['Sex'], 
+                                labels=['Not survived', 'Survived'],
+                                idxs=X_test.index)
 
     def test_explainer_len(self):
         self.assertEqual(len(self.explainer), len(titanic_survive()[2]))
 
     def test_int_idx(self):
-        self.assertEqual(self.explainer.get_int_idx(titanic_names()[1][0]), 0)
+        self.assertEqual(self.explainer.get_idx(titanic_names()[1][0]), 0)
 
     def test_random_index(self):
         self.assertIsInstance(self.explainer.random_index(), int)
@@ -399,105 +344,51 @@ def test_row_from_input(self):
         self.assertIsInstance(input_row, pd.DataFrame)
 
         input_row = self.explainer.get_row_from_input(
-            self.explainer.X_cats.iloc[[0]].values.tolist())
-        self.assertIsInstance(input_row, pd.DataFrame)
-
-        input_row = self.explainer.get_row_from_input(
-            self.explainer.X_cats
-            [self.explainer.columns_ranked_by_shap(cats=True)]
+            self.explainer.X_merged
+            [self.explainer.columns_ranked_by_shap()]
             .iloc[[0]].values.tolist(), ranked_by_shap=True)
         self.assertIsInstance(input_row, pd.DataFrame)
         
-        input_row = self.explainer.get_row_from_input(
-            self.explainer.X
-            [self.explainer.columns_ranked_by_shap(cats=False)]
-            .iloc[[0]].values.tolist(), ranked_by_shap=True)
-        self.assertIsInstance(input_row, pd.DataFrame)
 
     def test_pred_percentiles(self):
-        self.assertIsInstance(self.explainer.pred_percentiles, np.ndarray)
+        self.assertIsInstance(self.explainer.pred_percentiles(), np.ndarray)
 
     def test_columns_ranked_by_shap(self):
         self.assertIsInstance(self.explainer.columns_ranked_by_shap(), list)
-        self.assertIsInstance(self.explainer.columns_ranked_by_shap(cats=True), list)
-
-    def test_equivalent_col(self):
-        self.assertEqual(self.explainer.equivalent_col("Sex_female"), "Sex")
-        self.assertEqual(self.explainer.equivalent_col("Sex"), "Sex_female")
-        self.assertIsNone(self.explainer.equivalent_col("random"))
-
-    def test_get_col(self):
-        self.assertIsInstance(self.explainer.get_col("Sex"), pd.Series)
-        self.assertEqual(self.explainer.get_col("Sex").dtype, "object")
-
-        self.assertIsInstance(self.explainer.get_col("Deck"), pd.Series)
-        self.assertEqual(self.explainer.get_col("Deck").dtype, "object")
-
-        self.assertIsInstance(self.explainer.get_col("Age"), pd.Series)
-        self.assertEqual(self.explainer.get_col("Age").dtype, np.float)
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
         
     def test_X_cats(self):
         self.assertIsInstance(self.explainer.X_cats, pd.DataFrame)
 
-    def test_columns_cats(self):
-        self.assertIsInstance(self.explainer.columns_cats, list)
-
     def test_metrics(self):
         self.assertIsInstance(self.explainer.metrics(), dict)
 
     def test_mean_abs_shap_df(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_top_interactions(self):
         self.assertIsInstance(self.explainer.top_shap_interactions("Age"), list)
         self.assertIsInstance(self.explainer.top_shap_interactions("Age", topx=4), list)
-        self.assertIsInstance(self.explainer.top_shap_interactions("Age", cats=True), list)
-        self.assertIsInstance(self.explainer.top_shap_interactions("Sex", cats=True), list)
 
     def test_permutation_importances_df(self):
-        self.assertIsInstance(self.explainer.permutation_importances_df(), pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_df(topx=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_df(cats=True), pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_df(cutoff=0.01), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(topx=3), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(cutoff=0.01), pd.DataFrame)
 
     def test_contrib_df(self):
         self.assertIsInstance(self.explainer.contrib_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, cats=False), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, topx=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, sort='high-to-low'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, sort='low-to-high'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, sort='importance'), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(X_row=self.explainer.X_cats.iloc[[0]]), pd.DataFrame)
-
-    def test_contrib_summary_df(self):
-        self.assertIsInstance(self.explainer.contrib_summary_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, cats=False), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, topx=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, round=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='low-to-high'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='high-to-low'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='importance'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(X_row=self.explainer.X_cats.iloc[[0]]), pd.DataFrame)
 
     def test_shap_base_value(self):
-        self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float))
+        self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns)))
+        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray)
-
-    def test_mean_abs_shap(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame)
-        self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties()
@@ -508,12 +399,9 @@ def test_prediction_result_df(self):
 
     def test_pdp_df(self):
         self.assertIsInstance(self.explainer.pdp_df("Age"), pd.DataFrame)
-        self.assertIsInstance(self.explainer.pdp_df("Sex"), pd.DataFrame)
         self.assertIsInstance(self.explainer.pdp_df("Deck"), pd.DataFrame)
         self.assertIsInstance(self.explainer.pdp_df("Age", index=0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.pdp_df("Sex_male", index=0), pd.DataFrame)
         self.assertIsInstance(self.explainer.pdp_df("Age", X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
-        self.assertIsInstance(self.explainer.pdp_df("Age", X_row=self.explainer.X_cats.iloc[[0]]), pd.DataFrame)
 
     def test_plot_importances(self):
         fig = self.explainer.plot_importances()
@@ -525,77 +413,33 @@ def test_plot_importances(self):
         fig = self.explainer.plot_importances(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_importances(cats=True)
-        self.assertIsInstance(fig, go.Figure)
-
     def test_plot_contributions(self):
         fig = self.explainer.plot_contributions(0)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_contributions(0, cats=False)
-        self.assertIsInstance(fig, go.Figure)
-
-        fig = self.explainer.plot_contributions(0, topx=3)
-        self.assertIsInstance(fig, go.Figure)
-
-        fig = self.explainer.plot_contributions(0, cutoff=0.05)
-        self.assertIsInstance(fig, go.Figure)
-
-        fig = self.explainer.plot_contributions(0, sort='high-to-low')
-        self.assertIsInstance(fig, go.Figure)
-
-        fig = self.explainer.plot_contributions(0, sort='low-to-high')
-        self.assertIsInstance(fig, go.Figure)
-
-        fig = self.explainer.plot_contributions(0, sort='importance')
-        self.assertIsInstance(fig, go.Figure)
-
         fig = self.explainer.plot_contributions(X_row=self.explainer.X.iloc[[0]], sort='importance')
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_contributions(X_row=self.explainer.X_cats.iloc[[0]], sort='importance')
-        self.assertIsInstance(fig, go.Figure)
 
     def test_plot_shap_detailed(self):
         fig = self.explainer.plot_shap_detailed()
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_detailed(topx=3)
-        self.assertIsInstance(fig, go.Figure)
-
-        fig = self.explainer.plot_shap_detailed(cats=True)
-        self.assertIsInstance(fig, go.Figure)
 
     def test_plot_dependence(self):
         fig = self.explainer.plot_dependence("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_dependence("Sex_female")
+        fig = self.explainer.plot_dependence("Sex")
         self.assertIsInstance(fig, go.Figure)
 
         fig = self.explainer.plot_dependence("Age", "Sex")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_dependence("Sex_female", "Age")
-        self.assertIsInstance(fig, go.Figure)
-
-        fig = self.explainer.plot_dependence("Age", highlight_index=0)
-        self.assertIsInstance(fig, go.Figure)
-
-        fig = self.explainer.plot_dependence("Sex", highlight_index=0)
-        self.assertIsInstance(fig, go.Figure)
-
-        fig = self.explainer.plot_dependence("Deck", topx=3, sort="freq")
-        self.assertIsInstance(fig, go.Figure)
-
-        fig = self.explainer.plot_dependence("Deck", topx=3, sort="shap")
+        fig = self.explainer.plot_dependence("Sex", "Sex")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_dependence("Deck", sort="freq")
-        self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_dependence("Deck", sort="shap")
-        self.assertIsInstance(fig, go.Figure)
 
     def test_plot_pdp(self):
         fig = self.explainer.plot_pdp("Age")
@@ -613,8 +457,6 @@ def test_plot_pdp(self):
         fig = self.explainer.plot_pdp("Age", X_row=self.explainer.X.iloc[[0]])
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_pdp("Age", X_row=self.explainer.X_cats.iloc[[0]])
-        self.assertIsInstance(fig, go.Figure)
 
     def test_yaml(self):
         yaml = self.explainer.to_yaml()
@@ -628,14 +470,8 @@ def test_pos_label(self):
         self.assertEqual(self.explainer.pos_label, 0)
         self.assertEqual(self.explainer.pos_label_str, "Not survived")
 
-    def test_get_prop_for_label(self):
-        self.explainer.pos_label = 1
-        tmp = self.explainer.pred_percentiles
-        self.explainer.pos_label = 0
-        self.assertTrue(np.alltrue(self.explainer.get_prop_for_label("pred_percentiles", 1)==tmp))
-
     def test_pred_probas(self):
-        self.assertIsInstance(self.explainer.pred_probas, np.ndarray)
+        self.assertIsInstance(self.explainer.pred_probas(), np.ndarray)
 
     
     def test_metrics(self):
@@ -652,9 +488,6 @@ def test_precision_df(self):
     def test_lift_curve_df(self):
         self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame)
 
-    def test_prediction_result_markdown(self):
-        self.assertIsInstance(self.explainer.prediction_result_markdown(0), str)
-
     def test_calculate_properties(self):
         self.explainer.calculate_properties()
         
diff --git a/tests/test_classifier_base.py b/tests/test_classifier_base.py
index b6402be..613e4e4 100644
--- a/tests/test_classifier_base.py
+++ b/tests/test_classifier_base.py
@@ -2,9 +2,9 @@
 
 import pandas as pd
 import numpy as np
+from pandas.api.types import is_categorical_dtype, is_numeric_dtype
 
 from sklearn.ensemble import RandomForestClassifier
-from sklearn.metrics import roc_auc_score
 
 import plotly.graph_objects as go
 
@@ -21,7 +21,7 @@ def setUp(self):
         model.fit(X_train, y_train)
 
         self.explainer = ClassifierExplainer(
-                            model, X_test, y_test, roc_auc_score, 
+                            model, X_test, y_test, 
                             cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 
                                                 'Deck', 'Embarked'],
                             target='Survival',
@@ -32,7 +32,7 @@ def test_explainer_len(self):
         self.assertEqual(len(self.explainer), len(titanic_survive()[2]))
 
     def test_int_idx(self):
-        self.assertEqual(self.explainer.get_int_idx(titanic_names()[1][0]), 0)
+        self.assertEqual(self.explainer.get_idx(titanic_names()[1][0]), 0)
 
     def test_random_index(self):
         self.assertIsInstance(self.explainer.random_index(), int)
@@ -47,55 +47,37 @@ def test_row_from_input(self):
         self.assertIsInstance(input_row, pd.DataFrame)
 
         input_row = self.explainer.get_row_from_input(
-            self.explainer.X_cats.iloc[[0]].values.tolist())
+            self.explainer.X_merged.iloc[[0]].values.tolist())
         self.assertIsInstance(input_row, pd.DataFrame)
 
         input_row = self.explainer.get_row_from_input(
-            self.explainer.X_cats
-            [self.explainer.columns_ranked_by_shap(cats=True)]
+            self.explainer.X_merged
+            [self.explainer.columns_ranked_by_shap()]
             .iloc[[0]].values.tolist(), ranked_by_shap=True)
         self.assertIsInstance(input_row, pd.DataFrame)
         
-        input_row = self.explainer.get_row_from_input(
-            self.explainer.X
-            [self.explainer.columns_ranked_by_shap(cats=False)]
-            .iloc[[0]].values.tolist(), ranked_by_shap=True)
-        self.assertIsInstance(input_row, pd.DataFrame)
-
     def test_pred_percentiles(self):
-        self.assertIsInstance(self.explainer.pred_percentiles, np.ndarray)
+        self.assertIsInstance(self.explainer.pred_percentiles(), np.ndarray)
 
     def test_columns_ranked_by_shap(self):
         self.assertIsInstance(self.explainer.columns_ranked_by_shap(), list)
-        self.assertIsInstance(self.explainer.columns_ranked_by_shap(cats=True), list)
-
-    def test_equivalent_col(self):
-        self.assertEqual(self.explainer.equivalent_col("Sex_female"), "Gender")
-        self.assertEqual(self.explainer.equivalent_col("Gender"), "Sex_female")
-        self.assertEqual(self.explainer.equivalent_col("Deck"), "Deck_A")
-        self.assertEqual(self.explainer.equivalent_col("Deck_A"), "Deck")
-        self.assertIsNone(self.explainer.equivalent_col("random"))
 
     def test_get_col(self):
         self.assertIsInstance(self.explainer.get_col("Gender"), pd.Series)
-        self.assertEqual(self.explainer.get_col("Gender").dtype, "object")
+        self.assertTrue(is_categorical_dtype(self.explainer.get_col("Gender")))
 
         self.assertIsInstance(self.explainer.get_col("Deck"), pd.Series)
-        self.assertEqual(self.explainer.get_col("Deck").dtype, "object")
+        self.assertTrue(is_categorical_dtype(self.explainer.get_col("Deck")))
 
         self.assertIsInstance(self.explainer.get_col("Age"), pd.Series)
-        self.assertEqual(self.explainer.get_col("Age").dtype, np.float)
+        self.assertTrue(is_numeric_dtype(self.explainer.get_col("Age")))
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.permutation_importances(), pd.DataFrame)
         
     def test_X_cats(self):
         self.assertIsInstance(self.explainer.X_cats, pd.DataFrame)
 
-    def test_columns_cats(self):
-        self.assertIsInstance(self.explainer.columns_cats, list)
-
     def test_metrics(self):
         self.assertIsInstance(self.explainer.metrics(), dict)
 
@@ -105,63 +87,52 @@ def test_mean_abs_shap_df(self):
     def test_top_interactions(self):
         self.assertIsInstance(self.explainer.top_shap_interactions("Age"), list)
         self.assertIsInstance(self.explainer.top_shap_interactions("Age", topx=4), list)
-        self.assertIsInstance(self.explainer.top_shap_interactions("Age", cats=True), list)
-        self.assertIsInstance(self.explainer.top_shap_interactions("Gender", cats=True), list)
+
 
     def test_permutation_importances_df(self):
-        self.assertIsInstance(self.explainer.permutation_importances_df(), pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_df(topx=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_df(cats=True), pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_df(cutoff=0.01), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(topx=3), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(cutoff=0.01), pd.DataFrame)
 
     def test_contrib_df(self):
         self.assertIsInstance(self.explainer.contrib_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, cats=False), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_df(0, topx=3), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_df(0, sort='high-to-low'), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_df(0, sort='low-to-high'), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_df(0, sort='importance'), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(X_row=self.explainer.X_cats.iloc[[0]]), pd.DataFrame)
 
     def test_contrib_summary_df(self):
         self.assertIsInstance(self.explainer.contrib_summary_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, cats=False), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(0, topx=3), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(0, round=3), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='low-to-high'), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='high-to-low'), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='importance'), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(X_row=self.explainer.X_cats.iloc[[0]]), pd.DataFrame)
 
     def test_shap_base_value(self):
-        self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float))
+        self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns)))
+        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
 
     def test_shap_interaction_values(self):
-        self.assertIsInstance(self.explainer.shap_interaction_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_interaction_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_interaction_values(), np.ndarray)
 
-    def test_mean_abs_shap(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame)
-        self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame)
+    def test_mean_abs_shap_df(self):
+        self.assertIsInstance(self.explainer.mean_abs_shap_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties()
 
     def test_shap_interaction_values_by_col(self):
-        self.assertIsInstance(self.explainer.shap_interaction_values_by_col("Age"), np.ndarray)
-        self.assertEqual(self.explainer.shap_interaction_values_by_col("Age").shape, 
-                        self.explainer.shap_values.shape)
-        self.assertEqual(self.explainer.shap_interaction_values_by_col("Age", cats=True).shape, 
-                        self.explainer.shap_values_cats.shape)
+        self.assertIsInstance(self.explainer.shap_interaction_values_for_col("Age"), np.ndarray)
+        self.assertEqual(self.explainer.shap_interaction_values_for_col("Age").shape, 
+                        self.explainer.shap_values_df().shape)
 
     def test_prediction_result_df(self):
         df = self.explainer.prediction_result_df(0)
@@ -174,13 +145,6 @@ def test_pdp_df(self):
         self.assertIsInstance(self.explainer.pdp_df("Age", index=0), pd.DataFrame)
         self.assertIsInstance(self.explainer.pdp_df("Gender", index=0), pd.DataFrame)
         self.assertIsInstance(self.explainer.pdp_df("Age", X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
-        self.assertIsInstance(self.explainer.pdp_df("Age", X_row=self.explainer.X_cats.iloc[[0]]), pd.DataFrame)
-
-    def test_get_dfs(self):
-        cols_df, shap_df, contribs_df = self.explainer.get_dfs()
-        self.assertIsInstance(cols_df, pd.DataFrame)
-        self.assertIsInstance(shap_df, pd.DataFrame)
-        self.assertIsInstance(contribs_df, pd.DataFrame)
 
     def test_plot_importances(self):
         fig = self.explainer.plot_importances()
@@ -192,19 +156,10 @@ def test_plot_importances(self):
         fig = self.explainer.plot_importances(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_importances(cats=True)
-        self.assertIsInstance(fig, go.Figure)
-
     def test_plot_interactions(self):
         fig = self.explainer.plot_interactions_importance("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_interactions_importance("Sex_female")
-        self.assertIsInstance(fig, go.Figure)
-
-        fig = self.explainer.plot_interactions_importance("Age")
-        self.assertIsInstance(fig, go.Figure)
-
         fig = self.explainer.plot_interactions_importance("Gender")
         self.assertIsInstance(fig, go.Figure)
 
@@ -212,9 +167,6 @@ def test_plot_contributions(self):
         fig = self.explainer.plot_contributions(0)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_contributions(0, cats=False)
-        self.assertIsInstance(fig, go.Figure)
-
         fig = self.explainer.plot_contributions(0, topx=3)
         self.assertIsInstance(fig, go.Figure)
 
@@ -233,9 +185,6 @@ def test_plot_contributions(self):
         fig = self.explainer.plot_contributions(X_row=self.explainer.X.iloc[[0]], sort='importance')
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_contributions(X_row=self.explainer.X_cats.iloc[[0]], sort='importance')
-        self.assertIsInstance(fig, go.Figure)
-
     def test_plot_shap_detailed(self):
         fig = self.explainer.plot_shap_detailed()
         self.assertIsInstance(fig, go.Figure)
@@ -243,9 +192,6 @@ def test_plot_shap_detailed(self):
         fig = self.explainer.plot_shap_detailed(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_detailed(cats=True)
-        self.assertIsInstance(fig, go.Figure)
-
     def test_plot_interactions_detailed(self):
         fig = self.explainer.plot_interactions_detailed("Age")
         self.assertIsInstance(fig, go.Figure)
@@ -256,9 +202,6 @@ def test_plot_interactions_detailed(self):
         fig = self.explainer.plot_interactions_detailed("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_interactions_detailed("Sex_female", topx=3)
-        self.assertIsInstance(fig, go.Figure)
-
         fig = self.explainer.plot_interactions_detailed("Gender")
         self.assertIsInstance(fig, go.Figure)
 
@@ -266,15 +209,9 @@ def test_plot_dependence(self):
         fig = self.explainer.plot_dependence("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_dependence("Sex_female")
-        self.assertIsInstance(fig, go.Figure)
-
         fig = self.explainer.plot_dependence("Age", "Gender")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_dependence("Sex_female", "Age")
-        self.assertIsInstance(fig, go.Figure)
-
         fig = self.explainer.plot_dependence("Age", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
@@ -282,19 +219,11 @@ def test_plot_dependence(self):
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_interaction(self):
-        fig = self.explainer.plot_dependence("Age", "Sex_female")
-        self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_dependence("Sex_female", "Age")
+        fig = self.explainer.plot_interaction("Gender", "Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_dependence("Gender", "Age")
-        self.assertIsInstance(fig, go.Figure)
-
-        fig = self.explainer.plot_dependence("Age", "Gender")
-        self.assertIsInstance(fig, go.Figure)
-
-        fig = self.explainer.plot_dependence("Age", "Sex_female", highlight_index=0)
+        fig = self.explainer.plot_interaction("Age", "Gender", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_pdp(self):
@@ -313,9 +242,6 @@ def test_plot_pdp(self):
         fig = self.explainer.plot_pdp("Age", X_row=self.explainer.X.iloc[[0]])
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_pdp("Age", X_row=self.explainer.X_cats.iloc[[0]])
-        self.assertIsInstance(fig, go.Figure)
-
     def test_yaml(self):
         yaml = self.explainer.to_yaml()
         self.assertIsInstance(yaml, str)
diff --git a/tests/test_classifier_explainer.py b/tests/test_classifier_explainer.py
index 8e7acb1..e0110f8 100644
--- a/tests/test_classifier_explainer.py
+++ b/tests/test_classifier_explainer.py
@@ -2,9 +2,9 @@
 
 import pandas as pd
 import numpy as np
+from pandas.api.types import is_categorical_dtype, is_numeric_dtype
 
 from sklearn.ensemble import RandomForestClassifier
-from sklearn.metrics import roc_auc_score
 
 import plotly.graph_objects as go
 
@@ -12,7 +12,7 @@
 from explainerdashboard.datasets import titanic_survive, titanic_names
 
 
-class ClassifierBunchTests(unittest.TestCase):
+class ClassifierExplainerTests(unittest.TestCase):
     def setUp(self):
         X_train, y_train, X_test, y_test = titanic_survive()
         train_names, test_names = titanic_names()
@@ -34,22 +34,16 @@ def test_pos_label(self):
         self.assertEqual(self.explainer.pos_label, 0)
         self.assertEqual(self.explainer.pos_label_str, "Not survived")
 
-    def test_get_prop_for_label(self):
-        self.explainer.pos_label = 1
-        tmp = self.explainer.pred_percentiles
-        self.explainer.pos_label = 0
-        self.assertTrue(np.alltrue(self.explainer.get_prop_for_label("pred_percentiles", 1)==tmp))
-
     def test_pred_probas(self):
-        self.assertIsInstance(self.explainer.pred_probas, np.ndarray)
+        self.assertIsInstance(self.explainer.pred_probas(), np.ndarray)
+        self.assertIsInstance(self.explainer.pred_probas(1), np.ndarray)
+        self.assertIsInstance(self.explainer.pred_probas("Survived"), np.ndarray)
 
-    
     def test_metrics(self):
         self.assertIsInstance(self.explainer.metrics(), dict)
         self.assertIsInstance(self.explainer.metrics(cutoff=0.9), dict)
         self.assertIsInstance(self.explainer.metrics_descriptions(cutoff=0.9), dict)
 
-
     def test_precision_df(self):
         self.assertIsInstance(self.explainer.precision_df(), pd.DataFrame)
         self.assertIsInstance(self.explainer.precision_df(multiclass=True), pd.DataFrame)
@@ -58,9 +52,6 @@ def test_precision_df(self):
     def test_lift_curve_df(self):
         self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame)
 
-    def test_prediction_result_markdown(self):
-        self.assertIsInstance(self.explainer.prediction_result_markdown(0), str)
-
     def test_calculate_properties(self):
         self.explainer.calculate_properties()
         
@@ -158,7 +149,6 @@ def test_plot_prediction_result(self):
         self.assertIsInstance(fig, go.Figure)
 
 
-
 if __name__ == '__main__':
     unittest.main()
 
diff --git a/tests/test_decisiontrees.py b/tests/test_decisiontrees.py
index e0a2dea..f5d724c 100644
--- a/tests/test_decisiontrees.py
+++ b/tests/test_decisiontrees.py
@@ -3,8 +3,6 @@
 import pandas as pd
 import numpy as np
 
-from sklearn.metrics import r2_score, roc_auc_score
-
 from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor
 from sklearn.ensemble import ExtraTreesClassifier, ExtraTreesRegressor
 
@@ -22,7 +20,7 @@ def setUp(self):
 
         model = DecisionTreeRegressor()
         model.fit(X_train, y_train)
-        self.explainer = RegressionExplainer(model, X_test, y_test, r2_score, 
+        self.explainer = RegressionExplainer(model, X_test, y_test, 
                                         cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 
                                                 'Deck', 'Embarked'],
                                         idxs=test_names, units="$")
@@ -31,27 +29,19 @@ def test_preds(self):
         self.assertIsInstance(self.explainer.preds, np.ndarray)
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
 
     def test_shap_base_value(self):
-        self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float))
+        self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns)))
+        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray)
-
-    # @unittest.expectedFailure
-    # def test_shap_interaction_values(self):
-    #     self.assertIsInstance(self.explainer.shap_interaction_values, np.ndarray)
-    #     self.assertIsInstance(self.explainer.shap_interaction_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
 
     def test_mean_abs_shap(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame)
-        self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties(include_interactions=False)
@@ -73,7 +63,7 @@ def setUp(self):
         model.fit(X_train, y_train)
 
         self.explainer = ClassifierExplainer(
-                            model, X_test, y_test, roc_auc_score, 
+                            model, X_test, y_test, 
                             cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 
                                                 'Deck', 'Embarked'],
                             labels=['Not survived', 'Survived'],
@@ -83,35 +73,28 @@ def test_preds(self):
         self.assertIsInstance(self.explainer.preds, np.ndarray)
 
     def test_pred_probas(self):
-        self.assertIsInstance(self.explainer.pred_probas, np.ndarray)
+        self.assertIsInstance(self.explainer.pred_probas(), np.ndarray)
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
 
     def test_shap_base_value(self):
-        self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float))
+        self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns)))
+        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
 
     def test_shap_values_all_probabilities(self):
-        self.assertTrue(self.explainer.shap_base_value >= 0)
-        self.assertTrue(self.explainer.shap_base_value <= 1)
-        self.assertTrue(np.all(self.explainer.shap_values.sum(axis=1) + self.explainer.shap_base_value >= -0.00001))
-        self.assertTrue(np.all(self.explainer.shap_values.sum(axis=1) + self.explainer.shap_base_value <= 1.00001))
-
-    # def test_shap_interaction_values(self):
-    #     self.assertIsInstance(self.explainer.shap_interaction_values, np.ndarray)
-    #     self.assertIsInstance(self.explainer.shap_interaction_values_cats, np.ndarray)
+        self.assertTrue(self.explainer.shap_base_value() >= 0)
+        self.assertTrue(self.explainer.shap_base_value() <= 1)
+        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() >= -0.001))
+        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() <= 1.001))
 
     def test_mean_abs_shap(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame)
-        self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties(include_interactions=False)
@@ -135,8 +118,8 @@ def test_precision_df(self):
     def test_lift_curve_df(self):
         self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame)
 
-    def test_prediction_result_markdown(self):
-        self.assertIsInstance(self.explainer.prediction_result_markdown(0), str)
+    def test_prediction_result_df(self):
+        self.assertIsInstance(self.explainer.prediction_result_df(0), pd.DataFrame)
 
 
 class ExtraTreesRegressorTests(unittest.TestCase):
@@ -149,7 +132,7 @@ def setUp(self):
 
         model = ExtraTreesRegressor()
         model.fit(X_train, y_train)
-        self.explainer = RegressionExplainer(model, X_test, y_test, r2_score, 
+        self.explainer = RegressionExplainer(model, X_test, y_test, 
                                         cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 
                                                 'Deck', 'Embarked'],
                                         idxs=test_names, units="$")
@@ -158,27 +141,19 @@ def test_preds(self):
         self.assertIsInstance(self.explainer.preds, np.ndarray)
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
 
     def test_shap_base_value(self):
-        self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float))
+        self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns)))
+        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray)
-
-    # @unittest.expectedFailure
-    # def test_shap_interaction_values(self):
-    #     self.assertIsInstance(self.explainer.shap_interaction_values, np.ndarray)
-    #     self.assertIsInstance(self.explainer.shap_interaction_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
 
     def test_mean_abs_shap(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame)
-        self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties(include_interactions=False)
@@ -200,7 +175,7 @@ def setUp(self):
         model.fit(X_train, y_train)
 
         self.explainer = ClassifierExplainer(
-                            model, X_test, y_test, roc_auc_score, 
+                            model, X_test, y_test, 
                             cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 
                                                 'Deck', 'Embarked'],
                             labels=['Not survived', 'Survived'],
@@ -210,35 +185,28 @@ def test_preds(self):
         self.assertIsInstance(self.explainer.preds, np.ndarray)
 
     def test_pred_probas(self):
-        self.assertIsInstance(self.explainer.pred_probas, np.ndarray)
+        self.assertIsInstance(self.explainer.pred_probas(), np.ndarray)
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
 
     def test_shap_base_value(self):
-        self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float))
+        self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns)))
+        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
 
     def test_shap_values_all_probabilities(self):
-        self.assertTrue(self.explainer.shap_base_value >= 0)
-        self.assertTrue(self.explainer.shap_base_value <= 1)
-        self.assertTrue(np.all(self.explainer.shap_values.sum(axis=1) + self.explainer.shap_base_value >= -0.00001))
-        self.assertTrue(np.all(self.explainer.shap_values.sum(axis=1) + self.explainer.shap_base_value <= 1.00001))
-
-    # def test_shap_interaction_values(self):
-    #     self.assertIsInstance(self.explainer.shap_interaction_values, np.ndarray)
-    #     self.assertIsInstance(self.explainer.shap_interaction_values_cats, np.ndarray)
+        self.assertTrue(self.explainer.shap_base_value() >= 0)
+        self.assertTrue(self.explainer.shap_base_value() <= 1)
+        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() >= -0.001))
+        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() <= 1.001))
 
     def test_mean_abs_shap(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame)
-        self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties(include_interactions=False)
@@ -262,5 +230,5 @@ def test_precision_df(self):
     def test_lift_curve_df(self):
         self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame)
 
-    def test_prediction_result_markdown(self):
-        self.assertIsInstance(self.explainer.prediction_result_markdown(0), str)
\ No newline at end of file
+    def test_prediction_result_df(self):
+        self.assertIsInstance(self.explainer.prediction_result_df(0), pd.DataFrame)
\ No newline at end of file
diff --git a/tests/test_linear_model.py b/tests/test_linear_model.py
index 9fe5b7f..8817dcc 100644
--- a/tests/test_linear_model.py
+++ b/tests/test_linear_model.py
@@ -3,8 +3,6 @@
 import pandas as pd
 import numpy as np
 
-from sklearn.metrics import r2_score, roc_auc_score
-
 import shap
 import plotly.graph_objects as go
 
@@ -25,7 +23,7 @@ def setUp(self):
 
         model = LinearRegression()
         model.fit(X_train, y_train)
-        self.explainer = RegressionExplainer(model, X_test, y_test, r2_score, 
+        self.explainer = RegressionExplainer(model, X_test, y_test, 
                                         shap='linear', 
                                         cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 
                                                 'Deck', 'Embarked'],
@@ -35,7 +33,7 @@ def test_explainer_len(self):
         self.assertEqual(len(self.explainer), self.test_len)
 
     def test_int_idx(self):
-        self.assertEqual(self.explainer.get_int_idx(self.names[0]), 0)
+        self.assertEqual(self.explainer.get_idx(self.names[0]), 0)
 
     def test_random_index(self):
         self.assertIsInstance(self.explainer.random_index(), int)
@@ -45,43 +43,37 @@ def test_preds(self):
         self.assertIsInstance(self.explainer.preds, np.ndarray)
 
     def test_pred_percentiles(self):
-        self.assertIsInstance(self.explainer.pred_percentiles, np.ndarray)
+        self.assertIsInstance(self.explainer.pred_percentiles(), np.ndarray)
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
 
     def test_metrics(self):
         self.assertIsInstance(self.explainer.metrics(), dict)
         self.assertIsInstance(self.explainer.metrics_descriptions(), dict)
 
     def test_mean_abs_shap_df(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_top_interactions(self):
         self.assertIsInstance(self.explainer.top_shap_interactions("Age"), list)
         self.assertIsInstance(self.explainer.top_shap_interactions("Age", topx=4), list)
-        self.assertIsInstance(self.explainer.top_shap_interactions("Age", cats=True), list)
-        self.assertIsInstance(self.explainer.top_shap_interactions("Gender", cats=True), list)
 
     def test_contrib_df(self):
         self.assertIsInstance(self.explainer.contrib_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, cats=False), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_df(0, topx=3), pd.DataFrame)
 
     def test_shap_base_value(self):
-        self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float))
+        self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns)))
+        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
 
     def test_mean_abs_shap(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame)
-        self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties(include_interactions=False)
@@ -93,13 +85,6 @@ def test_pdp_df(self):
         self.assertIsInstance(self.explainer.pdp_df("Age", index=0), pd.DataFrame)
         self.assertIsInstance(self.explainer.pdp_df("Gender", index=0), pd.DataFrame)
 
-    def test_get_dfs(self):
-        cols_df, shap_df, contribs_df = self.explainer.get_dfs()
-        self.assertIsInstance(cols_df, pd.DataFrame)
-        self.assertIsInstance(shap_df, pd.DataFrame)
-        self.assertIsInstance(contribs_df, pd.DataFrame)
-
-
 
 class LogisticRegressionTests(unittest.TestCase):
     def setUp(self):
@@ -110,7 +95,7 @@ def setUp(self):
         model.fit(X_train, y_train)
 
         self.explainer = ClassifierExplainer(
-                            model, X_test, y_test, roc_auc_score, 
+                            model, X_test, y_test, 
                             shap='linear',
                             cats=['Sex', 'Deck', 'Embarked'],
                             labels=['Not survived', 'Survived'],
@@ -120,41 +105,36 @@ def test_preds(self):
         self.assertIsInstance(self.explainer.preds, np.ndarray)
 
     def test_pred_percentiles(self):
-        self.assertIsInstance(self.explainer.pred_percentiles, np.ndarray)
+        self.assertIsInstance(self.explainer.pred_percentiles(), np.ndarray)
 
     def test_columns_ranked_by_shap(self):
         self.assertIsInstance(self.explainer.columns_ranked_by_shap(), list)
-        self.assertIsInstance(self.explainer.columns_ranked_by_shap(cats=True), list)
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
 
     def test_metrics(self):
         self.assertIsInstance(self.explainer.metrics(), dict)
         self.assertIsInstance(self.explainer.metrics_descriptions(), dict)
 
     def test_mean_abs_shap_df(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_contrib_df(self):
         self.assertIsInstance(self.explainer.contrib_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, cats=False), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_df(0, topx=3), pd.DataFrame)
 
     def test_shap_base_value(self):
-        self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float))
+        self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns)))
+        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
 
     def test_mean_abs_shap(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame)
-        self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties(include_interactions=False)
@@ -174,14 +154,8 @@ def test_pos_label(self):
         self.assertEqual(self.explainer.pos_label, 0)
         self.assertEqual(self.explainer.pos_label_str, "Not survived")
 
-    def test_get_prop_for_label(self):
-        self.explainer.pos_label = 1
-        tmp = self.explainer.pred_percentiles
-        self.explainer.pos_label = 0
-        self.assertTrue(np.alltrue(self.explainer.get_prop_for_label("pred_percentiles", 1)==tmp))
-
     def test_pred_probas(self):
-        self.assertIsInstance(self.explainer.pred_probas, np.ndarray)
+        self.assertIsInstance(self.explainer.pred_probas(), np.ndarray)
 
     def test_metrics(self):
         self.assertIsInstance(self.explainer.metrics(), dict)
@@ -195,9 +169,6 @@ def test_precision_df(self):
     def test_lift_curve_df(self):
         self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame)
 
-    def test_prediction_result_markdown(self):
-        self.assertIsInstance(self.explainer.prediction_result_markdown(0), str)
-
 
 class LogisticRegressionKernelTests(unittest.TestCase):
     def setUp(self):
@@ -217,10 +188,6 @@ def setUp(self):
                             idxs=test_names)
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float))
-        self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns)))
-        self.assertIsInstance(self.explainer.shap_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray)
-
-    
-
+        self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
+        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
\ No newline at end of file
diff --git a/tests/test_multiclass.py b/tests/test_multiclass.py
index 637f681..096312e 100644
--- a/tests/test_multiclass.py
+++ b/tests/test_multiclass.py
@@ -30,91 +30,64 @@ def test_preds(self):
         self.assertIsInstance(self.explainer.preds, np.ndarray)
 
     def test_pred_percentiles(self):
-        self.assertIsInstance(self.explainer.pred_percentiles, np.ndarray)
+        self.assertIsInstance(self.explainer.pred_percentiles(), np.ndarray)
 
     def test_columns_ranked_by_shap(self):
         self.assertIsInstance(self.explainer.columns_ranked_by_shap(), list)
-        self.assertIsInstance(self.explainer.columns_ranked_by_shap(cats=True), list)
-
-    def test_equivalent_col(self):
-        self.assertEqual(self.explainer.equivalent_col("Sex_female"), "Gender")
-        self.assertEqual(self.explainer.equivalent_col("Gender"), "Sex_female")
-        self.assertIsNone(self.explainer.equivalent_col("random"))
-
-    def test_get_col(self):
-        self.assertIsInstance(self.explainer.get_col("Gender"), pd.Series)
-        self.assertEqual(self.explainer.get_col("Gender").dtype, "object")
-
-        self.assertIsInstance(self.explainer.get_col("Age"), pd.Series)
-        self.assertEqual(self.explainer.get_col("Age").dtype, np.float)
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
         
     def test_X_cats(self):
         self.assertIsInstance(self.explainer.X_cats, pd.DataFrame)
 
-    def test_columns_cats(self):
-        self.assertIsInstance(self.explainer.columns_cats, list)
-
     def test_metrics(self):
         self.assertIsInstance(self.explainer.metrics(), dict)
         self.assertIsInstance(self.explainer.metrics_descriptions(), dict)
 
     def test_mean_abs_shap_df(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_top_interactions(self):
         self.assertIsInstance(self.explainer.top_shap_interactions("Age"), list)
         self.assertIsInstance(self.explainer.top_shap_interactions("Age", topx=4), list)
-        self.assertIsInstance(self.explainer.top_shap_interactions("Age", cats=True), list)
-        self.assertIsInstance(self.explainer.top_shap_interactions("Gender", cats=True), list)
 
     def test_permutation_importances_df(self):
-        self.assertIsInstance(self.explainer.permutation_importances_df(), pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_df(topx=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_df(cats=True), pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_df(cutoff=0.01), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(topx=3), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(cutoff=0.01), pd.DataFrame)
 
     def test_contrib_df(self):
         self.assertIsInstance(self.explainer.contrib_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, cats=False), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_df(0, topx=3), pd.DataFrame)
 
     def test_contrib_summary_df(self):
         self.assertIsInstance(self.explainer.contrib_summary_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, cats=False), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(0, topx=3), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(0, round=3), pd.DataFrame)
 
     def test_shap_base_value(self):
-        self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float))
+        self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns)))
+        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
 
     def test_shap_interaction_values(self):
-        self.assertIsInstance(self.explainer.shap_interaction_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_interaction_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_interaction_values(), np.ndarray)
 
     def test_mean_abs_shap(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame)
-        self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties()
 
     def test_shap_interaction_values_by_col(self):
-        self.assertIsInstance(self.explainer.shap_interaction_values_by_col("Age"), np.ndarray)
-        self.assertEqual(self.explainer.shap_interaction_values_by_col("Age").shape, 
-                        self.explainer.shap_values.shape)
-        self.assertEqual(self.explainer.shap_interaction_values_by_col("Age", cats=True).shape, 
-                        self.explainer.shap_values_cats.shape)
+        self.assertIsInstance(self.explainer.shap_interaction_values_for_col("Age"), np.ndarray)
+        self.assertEqual(self.explainer.shap_interaction_values_for_col("Age").shape, 
+                        self.explainer.shap_values_df().shape)
 
     def test_pdp_df(self):
         self.assertIsInstance(self.explainer.pdp_df("Age"), pd.DataFrame)
@@ -123,12 +96,6 @@ def test_pdp_df(self):
         self.assertIsInstance(self.explainer.pdp_df("Age", index=0), pd.DataFrame)
         self.assertIsInstance(self.explainer.pdp_df("Gender", index=0), pd.DataFrame)
 
-    def test_get_dfs(self):
-        cols_df, shap_df, contribs_df = self.explainer.get_dfs()
-        self.assertIsInstance(cols_df, pd.DataFrame)
-        self.assertIsInstance(shap_df, pd.DataFrame)
-        self.assertIsInstance(contribs_df, pd.DataFrame)
-
     def test_plot_importances(self):
         fig = self.explainer.plot_importances()
         self.assertIsInstance(fig, go.Figure)
@@ -139,16 +106,10 @@ def test_plot_importances(self):
         fig = self.explainer.plot_importances(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_importances(cats=True)
-        self.assertIsInstance(fig, go.Figure)
-
     def test_plot_interactions(self):
         fig = self.explainer.plot_interactions_importance("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_interactions_importance("Sex_female")
-        self.assertIsInstance(fig, go.Figure)
-
         fig = self.explainer.plot_interactions_importance("Age")
         self.assertIsInstance(fig, go.Figure)
 
@@ -159,9 +120,6 @@ def test_plot_contributions(self):
         fig = self.explainer.plot_contributions(0)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_contributions(0, cats=False)
-        self.assertIsInstance(fig, go.Figure)
-
         fig = self.explainer.plot_contributions(0, topx=3)
         self.assertIsInstance(fig, go.Figure)
 
@@ -175,9 +133,6 @@ def test_plot_shap_detailed(self):
         fig = self.explainer.plot_shap_detailed(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_detailed(cats=True)
-        self.assertIsInstance(fig, go.Figure)
-
     def test_plot_interactions_detailed(self):
         fig = self.explainer.plot_interactions_detailed("Age")
         self.assertIsInstance(fig, go.Figure)
@@ -188,9 +143,6 @@ def test_plot_interactions_detailed(self):
         fig = self.explainer.plot_interactions_detailed("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_interactions_detailed("Sex_female", topx=3)
-        self.assertIsInstance(fig, go.Figure)
-
         fig = self.explainer.plot_interactions_detailed("Gender")
         self.assertIsInstance(fig, go.Figure)
 
@@ -198,15 +150,9 @@ def test_plot_dependence(self):
         fig = self.explainer.plot_dependence("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_dependence("Sex_female")
-        self.assertIsInstance(fig, go.Figure)
-
         fig = self.explainer.plot_dependence("Age", "Gender")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_dependence("Sex_female", "Age")
-        self.assertIsInstance(fig, go.Figure)
-
         fig = self.explainer.plot_dependence("Age", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
@@ -214,19 +160,13 @@ def test_plot_dependence(self):
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_interaction(self):
-        fig = self.explainer.plot_dependence("Age", "Sex_female")
-        self.assertIsInstance(fig, go.Figure)
-
-        fig = self.explainer.plot_dependence("Sex_female", "Age")
-        self.assertIsInstance(fig, go.Figure)
-
         fig = self.explainer.plot_dependence("Gender", "Age")
         self.assertIsInstance(fig, go.Figure)
 
         fig = self.explainer.plot_dependence("Age", "Gender")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_dependence("Age", "Sex_female", highlight_index=0)
+        fig = self.explainer.plot_dependence("Age", "Gender", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_pdp(self):
@@ -250,14 +190,8 @@ def test_pos_label(self):
         self.assertEqual(self.explainer.pos_label, 1)
         self.assertEqual(self.explainer.pos_label_str, "Southampton")
 
-    def test_get_prop_for_label(self):
-        self.explainer.pos_label = 1
-        tmp = self.explainer.pred_percentiles
-        self.explainer.pos_label = 0
-        self.assertTrue(np.alltrue(self.explainer.get_prop_for_label("pred_percentiles", 1)==tmp))
-
     def test_pred_probas(self):
-        self.assertIsInstance(self.explainer.pred_probas, np.ndarray)
+        self.assertIsInstance(self.explainer.pred_probas(), np.ndarray)
 
     
     def test_metrics(self):
@@ -272,9 +206,6 @@ def test_precision_df(self):
     def test_lift_curve_df(self):
         self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame)
 
-    def test_prediction_result_markdown(self):
-        self.assertIsInstance(self.explainer.prediction_result_markdown(0), str)
-
     def test_calculate_properties(self):
         self.explainer.calculate_properties()
         
diff --git a/tests/test_njobs.py b/tests/test_njobs.py
index cc79778..731d509 100644
--- a/tests/test_njobs.py
+++ b/tests/test_njobs.py
@@ -22,8 +22,7 @@ def setUp(self):
                             model, X_test, y_test, roc_auc_score, n_jobs=5)
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
 
 
 class NJobsMinusOneExplainerTests(unittest.TestCase):
@@ -38,5 +37,4 @@ def setUp(self):
                             model, X_test, y_test, roc_auc_score, n_jobs=-1)
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame)
\ No newline at end of file
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
\ No newline at end of file
diff --git a/tests/test_pickle.py b/tests/test_pickle.py
deleted file mode 100644
index 46ed5a5..0000000
--- a/tests/test_pickle.py
+++ /dev/null
@@ -1,97 +0,0 @@
-import unittest
-from pathlib import Path
-import pickle 
-
-import pandas as pd
-import numpy as np
-
-from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor
-from xgboost import XGBClassifier, XGBRegressor
-
-from explainerdashboard.explainers import ClassifierExplainer, RegressionExplainer
-from explainerdashboard.datasets import titanic_survive, titanic_fare, titanic_names
-
-
-class TestRFClassifierExplainerPicklable(unittest.TestCase):
-    def setUp(self):
-        X_train, y_train, X_test, y_test = titanic_survive()
-        train_names, test_names = titanic_names()
-
-        model = RandomForestClassifier(n_estimators=5, max_depth=2)
-        model.fit(X_train, y_train)
-
-        self.explainer = ClassifierExplainer(
-                            model, X_test, y_test, 
-                            cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 
-                                                'Deck', 'Embarked'],
-                            labels=['Not survived', 'Survived'],
-                            idxs=test_names)
-
-    def test_rf_pickle(self):
-        pickle_location = Path.cwd() / "rf_pickle_test.pkl"
-        pickle.dump(self.explainer, open(str(pickle_location), "wb"))
-        assert pickle_location.exists
-        pickle_location.unlink()
-
-
-class TestXGBClassifierExplainerPicklable(unittest.TestCase):
-    def setUp(self):
-        X_train, y_train, X_test, y_test = titanic_survive()
-        train_names, test_names = titanic_names()
-
-        model = XGBClassifier(n_estimators=5, max_depth=2)
-        model.fit(X_train, y_train)
-
-        self.explainer = ClassifierExplainer(
-                            model, X_test, y_test, 
-                            cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 
-                                                'Deck', 'Embarked'],
-                            labels=['Not survived', 'Survived'],
-                            idxs=test_names)
-
-    def test_xgb_pickle(self):
-        pickle_location = Path.cwd() / "xgb_pickle_test.pkl"
-        pickle.dump(self.explainer, open(str(pickle_location), "wb"))
-        assert pickle_location.exists
-        pickle_location.unlink()
-
-class TestRFRegressionExplainerPicklable(unittest.TestCase):
-    def setUp(self):
-        X_train, y_train, X_test, y_test = titanic_fare()
-        train_names, test_names = titanic_names()
-
-        model = RandomForestRegressor(n_estimators=5, max_depth=2)
-        model.fit(X_train, y_train)
-
-        self.explainer = RegressionExplainer(
-                            model, X_test, y_test, 
-                            cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 
-                                                'Deck', 'Embarked'],
-                            idxs=test_names)
-
-    def test_rf_pickle(self):
-        pickle_location = Path.cwd() / "rf_reg_pickle_test.pkl"
-        pickle.dump(self.explainer, open(str(pickle_location), "wb"))
-        assert pickle_location.exists
-        pickle_location.unlink()
-
-
-class TestXGBRegressionExplainerPicklable(unittest.TestCase):
-    def setUp(self):
-        X_train, y_train, X_test, y_test = titanic_fare()
-        train_names, test_names = titanic_names()
-
-        model = XGBRegressor(n_estimators=5, max_depth=2)
-        model.fit(X_train, y_train)
-
-        self.explainer = RegressionExplainer(
-                            model, X_test, y_test, 
-                            cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 
-                                                'Deck', 'Embarked'],
-                            idxs=test_names)
-
-    def test_xgb_pickle(self):
-        pickle_location = Path.cwd() / "xgb_reg_pickle_test.pkl"
-        pickle.dump(self.explainer, open(str(pickle_location), "wb"))
-        assert pickle_location.exists
-        pickle_location.unlink()
\ No newline at end of file
diff --git a/tests/test_pipelines.py b/tests/test_pipelines.py
index 2f7d61f..afdc310 100644
--- a/tests/test_pipelines.py
+++ b/tests/test_pipelines.py
@@ -5,7 +5,6 @@
 import numpy as np
 
 from sklearn.compose import ColumnTransformer
-from sklearn.datasets import fetch_openml
 from sklearn.pipeline import Pipeline
 from sklearn.impute import SimpleImputer
 from sklearn.preprocessing import StandardScaler, OrdinalEncoder
@@ -55,34 +54,27 @@ def test_columns_ranked_by_shap(self):
         self.assertIsInstance(self.explainer.columns_ranked_by_shap(), list)
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
 
     def test_metrics(self):
         self.assertIsInstance(self.explainer.metrics(), dict)
         self.assertIsInstance(self.explainer.metrics_descriptions(), dict)
 
     def test_mean_abs_shap_df(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_contrib_df(self):
         self.assertIsInstance(self.explainer.contrib_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, cats=False), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, topx=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, sort='high-to-low'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, sort='low-to-high'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, sort='importance'), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(X_row=self.explainer.X_cats.iloc[[0]]), pd.DataFrame)
 
     def test_shap_base_value(self):
-        self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float))
+        self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns)))
+        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
 
     def test_pdp_df(self):
         self.assertIsInstance(self.explainer.pdp_df("age"), pd.DataFrame)
diff --git a/tests/test_randomforest_explainer.py b/tests/test_randomforest_explainer.py
index d61bb89..351f246 100644
--- a/tests/test_randomforest_explainer.py
+++ b/tests/test_randomforest_explainer.py
@@ -4,7 +4,6 @@
 import numpy as np
 
 from sklearn.ensemble import RandomForestRegressor, RandomForestClassifier
-from sklearn.metrics import r2_score, roc_auc_score
 
 import plotly.graph_objects as go
 import dtreeviz 
@@ -24,21 +23,19 @@ def setUp(self):
         model.fit(X_train, y_train)
 
         self.explainer = ClassifierExplainer(
-                            model, X_test, y_test, roc_auc_score, 
-                            shap='tree',
+                            model, X_test, y_test, 
                             cats=['Sex', 'Cabin', 'Embarked'],
-                            idxs=test_names, 
                             labels=['Not survived', 'Survived'])
 
     def test_graphviz_available(self):
         self.assertIsInstance(self.explainer.graphviz_available, bool)
 
-    def test_decision_trees(self):
-        dt = self.explainer.decision_trees
+    def test_shadow_trees(self):
+        dt = self.explainer.shadow_trees
         self.assertIsInstance(dt, list)
         self.assertIsInstance(dt[0], dtreeviz.models.shadow_decision_tree.ShadowDecTree)
 
-    def test_decisiontree_df(self):
+    def test_decisionpath_df(self):
         df = self.explainer.decisionpath_df(tree_idx=0, index=0)
         self.assertIsInstance(df, pd.DataFrame)
 
@@ -71,7 +68,7 @@ def setUp(self):
         model.fit(X_train, y_train)
 
         self.explainer = RegressionExplainer(
-                            model, X_test, y_test, r2_score, 
+                            model, X_test, y_test,
                             cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 
                                                 'Deck', 'Embarked'],
                             idxs=test_names)
@@ -79,12 +76,12 @@ def setUp(self):
     def test_graphviz_available(self):
         self.assertIsInstance(self.explainer.graphviz_available, bool)
 
-    def test_decision_trees(self):
-        dt = self.explainer.decision_trees
+    def test_shadow_trees(self):
+        dt = self.explainer.shadow_trees
         self.assertIsInstance(dt, list)
         self.assertIsInstance(dt[0], dtreeviz.models.shadow_decision_tree.ShadowDecTree)
 
-    def test_decisiontree_df(self):
+    def test_decisionpath_df(self):
         df = self.explainer.decisionpath_df(tree_idx=0, index=0)
         self.assertIsInstance(df, pd.DataFrame)
 
diff --git a/tests/test_regression_base.py b/tests/test_regression_base.py
index bcd972f..d7011d3 100644
--- a/tests/test_regression_base.py
+++ b/tests/test_regression_base.py
@@ -2,6 +2,7 @@
 
 import pandas as pd
 import numpy as np
+from pandas.api.types import is_categorical_dtype, is_numeric_dtype
 
 from sklearn.ensemble import RandomForestRegressor
 from sklearn.metrics import r2_score
@@ -20,8 +21,7 @@ def setUp(self):
         train_names, test_names = titanic_names()
         _, self.names = titanic_names()
 
-        model = RandomForestRegressor(n_estimators=5, max_depth=2)
-        model.fit(X_train, y_train)
+        model = RandomForestRegressor(n_estimators=5, max_depth=2).fit(X_train, y_train)
 
         self.explainer = RegressionExplainer(
                             model, X_test, y_test, r2_score,
@@ -33,7 +33,7 @@ def test_explainer_len(self):
         self.assertEqual(len(self.explainer), self.test_len)
 
     def test_int_idx(self):
-        self.assertEqual(self.explainer.get_int_idx(self.names[0]), 0)
+        self.assertEqual(self.explainer.get_idx(self.names[0]), 0)
 
     def test_random_index(self):
         self.assertIsInstance(self.explainer.random_index(), int)
@@ -45,21 +45,15 @@ def test_row_from_input(self):
         self.assertIsInstance(input_row, pd.DataFrame)
 
         input_row = self.explainer.get_row_from_input(
-            self.explainer.X_cats.iloc[[0]].values.tolist())
+            self.explainer.X_merged.iloc[[0]].values.tolist())
         self.assertIsInstance(input_row, pd.DataFrame)
 
         input_row = self.explainer.get_row_from_input(
-            self.explainer.X_cats
-            [self.explainer.columns_ranked_by_shap(cats=True)]
+            self.explainer.X_merged
+            [self.explainer.columns_ranked_by_shap()]
             .iloc[[0]].values.tolist(), ranked_by_shap=True)
         self.assertIsInstance(input_row, pd.DataFrame)
         
-        input_row = self.explainer.get_row_from_input(
-            self.explainer.X
-            [self.explainer.columns_ranked_by_shap(cats=False)]
-            .iloc[[0]].values.tolist(), ranked_by_shap=True)
-        self.assertIsInstance(input_row, pd.DataFrame)
-
     def test_prediction_result_df(self):
         df = self.explainer.prediction_result_df(0)
         self.assertIsInstance(df, pd.DataFrame)
@@ -68,34 +62,24 @@ def test_preds(self):
         self.assertIsInstance(self.explainer.preds, np.ndarray)
 
     def test_pred_percentiles(self):
-        self.assertIsInstance(self.explainer.pred_percentiles, np.ndarray)
+        self.assertIsInstance(self.explainer.pred_percentiles(), np.ndarray)
 
     def test_columns_ranked_by_shap(self):
         self.assertIsInstance(self.explainer.columns_ranked_by_shap(), list)
-        self.assertIsInstance(self.explainer.columns_ranked_by_shap(cats=True), list)
-
-    def test_equivalent_col(self):
-        self.assertEqual(self.explainer.equivalent_col("Sex_female"), "Gender")
-        self.assertEqual(self.explainer.equivalent_col("Gender"), "Sex_female")
-        self.assertIsNone(self.explainer.equivalent_col("random"))
 
     def test_get_col(self):
         self.assertIsInstance(self.explainer.get_col("Gender"), pd.Series)
-        self.assertEqual(self.explainer.get_col("Gender").dtype, "object")
+        self.assertTrue(is_categorical_dtype(self.explainer.get_col("Gender")))
 
         self.assertIsInstance(self.explainer.get_col("Age"), pd.Series)
-        self.assertEqual(self.explainer.get_col("Age").dtype, np.float)
+        self.assertTrue(is_numeric_dtype(self.explainer.get_col("Age")))
 
     def test_permutation_importances(self):
-        self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.permutation_importances(), pd.DataFrame)
 
     def test_X_cats(self):
         self.assertIsInstance(self.explainer.X_cats, pd.DataFrame)
 
-    def test_columns_cats(self):
-        self.assertIsInstance(self.explainer.columns_cats, list)
-
     def test_metrics(self):
         self.assertIsInstance(self.explainer.metrics(), dict)
         self.assertIsInstance(self.explainer.metrics_descriptions(), dict)
@@ -106,65 +90,51 @@ def test_mean_abs_shap_df(self):
     def test_top_interactions(self):
         self.assertIsInstance(self.explainer.top_shap_interactions("Age"), list)
         self.assertIsInstance(self.explainer.top_shap_interactions("Age", topx=4), list)
-        self.assertIsInstance(self.explainer.top_shap_interactions("Age", cats=True), list)
-        self.assertIsInstance(self.explainer.top_shap_interactions("Gender", cats=True), list)
 
     def test_permutation_importances_df(self):
-        self.assertIsInstance(self.explainer.permutation_importances_df(), pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_df(topx=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_df(cats=True), pd.DataFrame)
-        self.assertIsInstance(self.explainer.permutation_importances_df(cutoff=0.01), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(topx=3), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_permutation_importances_df(cutoff=0.01), pd.DataFrame)
 
     def test_contrib_df(self):
         self.assertIsInstance(self.explainer.contrib_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, cats=False), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_df(0, topx=3), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_df(0, sort='high-to-low'), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_df(0, sort='low-to-high'), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_df(0, sort='importance'), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(X_row=self.explainer.X_cats.iloc[[0]]), pd.DataFrame)
-
 
     def test_contrib_summary_df(self):
         self.assertIsInstance(self.explainer.contrib_summary_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, cats=False), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(0, topx=3), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(0, round=3), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='high-to-low'), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='low-to-high'), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='importance'), pd.DataFrame)
         self.assertIsInstance(self.explainer.contrib_summary_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(X_row=self.explainer.X_cats.iloc[[0]]), pd.DataFrame)
-
 
     def test_shap_base_value(self):
-        self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float))
+        self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns)))
+        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
 
     def test_shap_interaction_values(self):
-        self.assertIsInstance(self.explainer.shap_interaction_values, np.ndarray)
-        self.assertIsInstance(self.explainer.shap_interaction_values_cats, np.ndarray)
+        self.assertIsInstance(self.explainer.shap_interaction_values(), np.ndarray)
 
     def test_mean_abs_shap(self):
-        self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame)
-        self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame)
+        self.assertIsInstance(self.explainer.mean_abs_shap_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties()
 
-    def test_shap_interaction_values_by_col(self):
-        self.assertIsInstance(self.explainer.shap_interaction_values_by_col("Age"), np.ndarray)
-        self.assertEqual(self.explainer.shap_interaction_values_by_col("Age").shape,
-                        self.explainer.shap_values.shape)
-        self.assertEqual(self.explainer.shap_interaction_values_by_col("Age", cats=True).shape,
-                        self.explainer.shap_values_cats.shape)
+    def test_shap_interaction_values_for_col(self):
+        self.assertIsInstance(self.explainer.shap_interaction_values_for_col("Age"), np.ndarray)
+        self.assertEqual(self.explainer.shap_interaction_values_for_col("Age").shape,
+                        self.explainer.shap_values_df().shape)
 
     def test_pdp_df(self):
         self.assertIsInstance(self.explainer.pdp_df("Age"), pd.DataFrame)
@@ -173,12 +143,6 @@ def test_pdp_df(self):
         self.assertIsInstance(self.explainer.pdp_df("Age", index=0), pd.DataFrame)
         self.assertIsInstance(self.explainer.pdp_df("Gender", index=0), pd.DataFrame)
 
-    def test_get_dfs(self):
-        cols_df, shap_df, contribs_df = self.explainer.get_dfs()
-        self.assertIsInstance(cols_df, pd.DataFrame)
-        self.assertIsInstance(shap_df, pd.DataFrame)
-        self.assertIsInstance(contribs_df, pd.DataFrame)
-
     def test_plot_importances(self):
         fig = self.explainer.plot_importances()
         self.assertIsInstance(fig, go.Figure)
@@ -189,16 +153,10 @@ def test_plot_importances(self):
         fig = self.explainer.plot_importances(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_importances(cats=True)
-        self.assertIsInstance(fig, go.Figure)
-
     def test_plot_interactions(self):
         fig = self.explainer.plot_interactions_importance("Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_interactions_importance("Sex_female")
-        self.assertIsInstance(fig, go.Figure)
-
         fig = self.explainer.plot_interactions_importance("Age")
         self.assertIsInstance(fig, go.Figure)
 
@@ -209,9 +167,6 @@ def test_plot_shap_interactions(self):
         fig = self.explainer.plot_contributions(0)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_contributions(0, cats=False)
-        self.assertIsInstance(fig, go.Figure)
-
         fig = self.explainer.plot_contributions(0, topx=3)
         self.assertIsInstance(fig, go.Figure)
 
@@ -234,8 +189,6 @@ def test_plot_shap_detailed(self):
         fig = self.explainer.plot_shap_detailed(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_detailed(cats=True)
-        self.assertIsInstance(fig, go.Figure)
 
     def test_plot_interactions_detailed(self):
         fig = self.explainer.plot_interactions_detailed("Age")
@@ -244,15 +197,6 @@ def test_plot_interactions_detailed(self):
         fig = self.explainer.plot_interactions_detailed("Age", topx=3)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_interactions_detailed("Age", cats=True)
-        self.assertIsInstance(fig, go.Figure)
-
-        fig = self.explainer.plot_interactions_detailed("Sex_female", topx=3)
-        self.assertIsInstance(fig, go.Figure)
-
-        fig = self.explainer.plot_interactions_detailed("Gender", cats=True)
-        self.assertIsInstance(fig, go.Figure)
-
     def test_plot_dependence(self):
         fig = self.explainer.plot_dependence("Age")
         self.assertIsInstance(fig, go.Figure)
@@ -263,9 +207,6 @@ def test_plot_dependence(self):
         fig = self.explainer.plot_dependence("Age", "Gender")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_dependence("Sex_female", "Age")
-        self.assertIsInstance(fig, go.Figure)
-
         fig = self.explainer.plot_dependence("Age", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
@@ -276,9 +217,6 @@ def test_plot_contributions(self):
         fig = self.explainer.plot_contributions(0)
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_contributions(0, cats=False)
-        self.assertIsInstance(fig, go.Figure)
-
         fig = self.explainer.plot_contributions(0, topx=3)
         self.assertIsInstance(fig, go.Figure)
 
@@ -294,20 +232,18 @@ def test_plot_contributions(self):
         fig = self.explainer.plot_contributions(X_row=self.explainer.X.iloc[[0]])
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_contributions(X_row=self.explainer.X_cats.iloc[[0]])
-        self.assertIsInstance(fig, go.Figure)
 
     def test_plot_interaction(self):
-        fig = self.explainer.plot_interaction("Age", "Sex_female")
+        fig = self.explainer.plot_interaction("Age", "Gender")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_interaction("Sex_female", "Age")
+        fig = self.explainer.plot_interaction("Gender", "Age")
         self.assertIsInstance(fig, go.Figure)
 
         fig = self.explainer.plot_interaction("Gender", "Age")
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_interaction("Age", "Sex_female", highlight_index=0)
+        fig = self.explainer.plot_interaction("Age", "Gender", highlight_index=0)
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_pdp(self):
@@ -326,9 +262,6 @@ def test_plot_pdp(self):
         fig = self.explainer.plot_pdp("Age", X_row=self.explainer.X.iloc[[0]])
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_pdp("Age", X_row=self.explainer.X_cats.iloc[[0]])
-        self.assertIsInstance(fig, go.Figure)
-
     def test_yaml(self):
         yaml = self.explainer.to_yaml()
         self.assertIsInstance(yaml, str)
diff --git a/tests/test_regression_explainer.py b/tests/test_regression_explainer.py
index fd580b4..9d1db43 100644
--- a/tests/test_regression_explainer.py
+++ b/tests/test_regression_explainer.py
@@ -1,10 +1,9 @@
 import unittest
 
 import pandas as pd
+from pandas.api.types import is_categorical_dtype, is_numeric_dtype
 
 from sklearn.ensemble import RandomForestRegressor
-from sklearn.metrics import r2_score
-
 import plotly.graph_objects as go
 
 from explainerdashboard.explainers import RegressionExplainer
@@ -23,7 +22,7 @@ def setUp(self):
         model.fit(X_train, y_train)
 
         self.explainer = RegressionExplainer(
-                            model, X_test, y_test, r2_score, 
+                            model, X_test, y_test, 
                             cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 
                                                 'Deck', 'Embarked'],
                             idxs=test_names)
@@ -31,12 +30,6 @@ def setUp(self):
     def test_residuals(self):
         self.assertIsInstance(self.explainer.residuals, pd.Series)
 
-    def test_prediction_result_markdown(self):
-        result_index = self.explainer.prediction_result_markdown(0)
-        self.assertIsInstance(result_index, str)
-        result_name = self.explainer.prediction_result_markdown(self.names[0])
-        self.assertIsInstance(result_name, str)
-
     def test_metrics(self):
         metrics_dict = self.explainer.metrics()
         self.assertIsInstance(metrics_dict, dict)
diff --git a/tests/test_xgboost_explainer.py b/tests/test_xgboost_explainer.py
index e551ad4..c9756c4 100644
--- a/tests/test_xgboost_explainer.py
+++ b/tests/test_xgboost_explainer.py
@@ -31,12 +31,12 @@ def setUp(self):
     def test_graphviz_available(self):
         self.assertIsInstance(self.explainer.graphviz_available, bool)
 
-    def test_decision_trees(self):
-        dt = self.explainer.decision_trees
+    def test_shadow_trees(self):
+        dt = self.explainer.shadow_trees
         self.assertIsInstance(dt, list)
         self.assertIsInstance(dt[0], dtreeviz.models.shadow_decision_tree.ShadowDecTree)
 
-    def test_decisiontree_df(self):
+    def test_decisionpath_df(self):
         df = self.explainer.decisionpath_df(tree_idx=0, index=0)
         self.assertIsInstance(df, pd.DataFrame)
 
@@ -75,12 +75,12 @@ def setUp(self):
     def test_graphviz_available(self):
         self.assertIsInstance(self.explainer.graphviz_available, bool)
 
-    def test_decision_trees(self):
-        dt = self.explainer.decision_trees
+    def test_shadow_trees(self):
+        dt = self.explainer.shadow_trees
         self.assertIsInstance(dt, list)
         self.assertIsInstance(dt[0], dtreeviz.models.shadow_decision_tree.ShadowDecTree)
 
-    def test_decisiontree_df(self):
+    def test_decisionpath_df(self):
         df = self.explainer.decisionpath_df(tree_idx=0, index=0)
         self.assertIsInstance(df, pd.DataFrame)
 
@@ -128,12 +128,12 @@ def setUp(self):
     def test_graphviz_available(self):
         self.assertIsInstance(self.explainer.graphviz_available, bool)
 
-    def test_decision_trees(self):
-        dt = self.explainer.decision_trees
+    def test_shadow_trees(self):
+        dt = self.explainer.shadow_trees
         self.assertIsInstance(dt, list)
         self.assertIsInstance(dt[0], dtreeviz.models.shadow_decision_tree.ShadowDecTree)
 
-    def test_decisiontree_df(self):
+    def test_decisionpath_df(self):
         df = self.explainer.decisionpath_df(tree_idx=0, index=0)
         self.assertIsInstance(df, pd.DataFrame)
 

From 71ff22e389056283f9875730c6996ef6f38b1b9f Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Wed, 20 Jan 2021 17:24:01 +0100
Subject: [PATCH 10/28] updated notebook examples

---
 RELEASE_NOTES.md                 |     10 +-
 TODO.md                          |      2 +-
 custom_examples.ipynb            |    552 +-
 dashboard_examples.ipynb         |    683 +-
 explainer_examples.ipynb         | 152619 ++++++++++------------------
 explainerdashboard/dashboards.py |      8 +
 explainerdashboard/explainers.py |     66 +
 requirements.txt                 |      7 +-
 8 files changed, 56743 insertions(+), 97204 deletions(-)

diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index 85b99c6..af2d948 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -31,11 +31,11 @@
         - `plot_interactions()` -> `plot_interactions_importance()`
     -`TreeExplainers`:
         - `self.decision_trees` -> `self.shadow_trees`
-        - `self.decisiontree_df` -> `self.decisionpath_df`
-        - `self.decisiontree_summary_df` -> `self.decisionpath_summary_df`
-        - `self.decision_path_file` -> `self.decisiontree_file`
-        - `self.decision_path` -> `self.decisiontree`
-        - `self.decision_path_encoded` -> `self.decisiontree_encoded`
+        - `self.decisiontree_df()` -> `self.decisionpath_df()`
+        - `self.decisiontree_summary_df()` -> `self.decisionpath_summary_df()`
+        - `self.decision_path_file()` -> `self.decisiontree_file()`
+        - `self.decision_path()` -> `self.decisiontree()`
+        - `self.decision_path_encoded()` -> `self.decisiontree_encoded()`
 
 ### New Features
 - new `Explainer` parameter `precision`: defaults to `'float64'`. Can be set to
diff --git a/TODO.md b/TODO.md
index 629e974..a01b239 100644
--- a/TODO.md
+++ b/TODO.md
@@ -7,7 +7,7 @@
 - add v03 check
 - add deprecation warnings for old methods
 - update tutorial notebooks
-
+- check InlineExplainer 
 ## Bugs:
 
 
diff --git a/custom_examples.ipynb b/custom_examples.ipynb
index 09b73e4..52d31dd 100644
--- a/custom_examples.ipynb
+++ b/custom_examples.ipynb
@@ -21,8 +21,8 @@
    "execution_count": 1,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T09:05:06.986556Z",
-     "start_time": "2020-10-12T09:05:06.974710Z"
+     "end_time": "2021-01-20T16:17:23.055000Z",
+     "start_time": "2021-01-20T16:17:23.050915Z"
     }
    },
    "outputs": [],
@@ -39,8 +39,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 2,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T16:17:24.297328Z",
+     "start_time": "2021-01-20T16:17:24.292798Z"
+    }
+   },
    "outputs": [],
    "source": [
     "from IPython.core.interactiveshell import InteractiveShell\n",
@@ -49,22 +54,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 4,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T16:17:56.270605Z",
+     "start_time": "2021-01-20T16:17:52.395582Z"
+    }
+   },
    "outputs": [],
    "source": [
     "from sklearn.ensemble import RandomForestClassifier\n",
     "\n",
     "from jupyter_dash import JupyterDash\n",
     "\n",
-    "import dash_html_components as html\n",
-    "import dash_bootstrap_components as dbc\n",
-    "\n",
-    "\n",
-    "from explainerdashboard.explainers import *\n",
+    "from explainerdashboard import *\n",
     "from explainerdashboard.datasets import *\n",
-    "from explainerdashboard.dashboard_components import *\n",
-    "from explainerdashboard.dashboards import *"
+    "from explainerdashboard.custom import *"
    ]
   },
   {
@@ -76,11 +81,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 5,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T09:06:49.129644Z",
-     "start_time": "2020-10-12T09:06:46.438802Z"
+     "end_time": "2021-01-20T16:18:40.518834Z",
+     "start_time": "2021-01-20T16:18:39.584750Z"
     }
    },
    "outputs": [
@@ -89,9 +94,9 @@
      "output_type": "stream",
      "text": [
       "Note: shap=='guess' so guessing for RandomForestClassifier shap='tree'...\n",
+      "Detected RandomForestClassifier model: Changing class type to RandomForestClassifierExplainer...\n",
       "Note: model_output=='probability', so assuming that raw shap output of RandomForestClassifier is in probability space...\n",
       "Generating self.shap_explainer = shap.TreeExplainer(model)\n",
-      "Detected RandomForestClassifier model: Changing class type to RandomForestClassifierExplainer...\n",
       "Calculating shap values...\n"
      ]
     },
@@ -105,12 +110,12 @@
        "        require.undef(\"plotly\");\n",
        "        define('plotly', function(require, exports, module) {\n",
        "            /**\n",
-       "* plotly.js v1.55.2\n",
+       "* plotly.js v1.56.0\n",
        "* Copyright 2012-2020, Plotly, Inc.\n",
        "* All rights reserved.\n",
        "* Licensed under the MIT license\n",
        "*/\n",
-       "!function(t){if(\"object\"==typeof exports&&\"undefined\"!=typeof module)module.exports=t();else if(\"function\"==typeof define&&define.amd)define([],t);else{(\"undefined\"!=typeof window?window:\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:this).Plotly=t()}}((function(){return function t(e,r,n){function a(o,s){if(!r[o]){if(!e[o]){var l=\"function\"==typeof require&&require;if(!s&&l)return l(o,!0);if(i)return i(o,!0);var c=new Error(\"Cannot find module '\"+o+\"'\");throw c.code=\"MODULE_NOT_FOUND\",c}var u=r[o]={exports:{}};e[o][0].call(u.exports,(function(t){return a(e[o][1][t]||t)}),u,u.exports,t,e,r,n)}return r[o].exports}for(var i=\"function\"==typeof require&&require,o=0;o<n.length;o++)a(n[o]);return a}({1:[function(t,e,r){\"use strict\";var n=t(\"../src/lib\"),a={\"X,X div\":\"direction:ltr;font-family:'Open Sans', verdana, arial, sans-serif;margin:0;padding:0;\",\"X input,X button\":\"font-family:'Open Sans', verdana, arial, sans-serif;\",\"X input:focus,X button:focus\":\"outline:none;\",\"X a\":\"text-decoration:none;\",\"X a:hover\":\"text-decoration:none;\",\"X .crisp\":\"shape-rendering:crispEdges;\",\"X .user-select-none\":\"-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;user-select:none;\",\"X svg\":\"overflow:hidden;\",\"X svg a\":\"fill:#447adb;\",\"X svg a:hover\":\"fill:#3c6dc5;\",\"X .main-svg\":\"position:absolute;top:0;left:0;pointer-events:none;\",\"X .main-svg .draglayer\":\"pointer-events:all;\",\"X .cursor-default\":\"cursor:default;\",\"X .cursor-pointer\":\"cursor:pointer;\",\"X .cursor-crosshair\":\"cursor:crosshair;\",\"X .cursor-move\":\"cursor:move;\",\"X .cursor-col-resize\":\"cursor:col-resize;\",\"X .cursor-row-resize\":\"cursor:row-resize;\",\"X .cursor-ns-resize\":\"cursor:ns-resize;\",\"X .cursor-ew-resize\":\"cursor:ew-resize;\",\"X .cursor-sw-resize\":\"cursor:sw-resize;\",\"X .cursor-s-resize\":\"cursor:s-resize;\",\"X 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n=t(\"./core\");n.register([t(\"./bar\"),t(\"./box\"),t(\"./heatmap\"),t(\"./histogram\"),t(\"./histogram2d\"),t(\"./histogram2dcontour\"),t(\"./contour\"),t(\"./scatterternary\"),t(\"./violin\"),t(\"./funnel\"),t(\"./waterfall\"),t(\"./image\"),t(\"./pie\"),t(\"./sunburst\"),t(\"./treemap\"),t(\"./funnelarea\"),t(\"./scatter3d\"),t(\"./surface\"),t(\"./isosurface\"),t(\"./volume\"),t(\"./mesh3d\"),t(\"./cone\"),t(\"./streamtube\"),t(\"./scattergeo\"),t(\"./choropleth\"),t(\"./scattergl\"),t(\"./splom\"),t(\"./pointcloud\"),t(\"./heatmapgl\"),t(\"./parcoords\"),t(\"./parcats\"),t(\"./scattermapbox\"),t(\"./choroplethmapbox\"),t(\"./densitymapbox\"),t(\"./sankey\"),t(\"./indicator\"),t(\"./table\"),t(\"./carpet\"),t(\"./scattercarpet\"),t(\"./contourcarpet\"),t(\"./ohlc\"),t(\"./candlestick\"),t(\"./scatterpolar\"),t(\"./scatterpolargl\"),t(\"./barpolar\")]),n.register([t(\"./aggregate\"),t(\"./filter\"),t(\"./groupby\"),t(\"./sort\")]),n.register([t(\"./calendars\")]),e.exports=n},{\"./aggregate\":2,\"./bar\":3,\"./barpolar\":4,\"./box\":5,\"./calendars\":6,\"./candlestick\":7,\"./carpet\":8,\"./choropleth\":9,\"./choroplethmapbox\":10,\"./cone\":11,\"./contour\":12,\"./contourcarpet\":13,\"./core\":14,\"./densitymapbox\":15,\"./filter\":16,\"./funnel\":17,\"./funnelarea\":18,\"./groupby\":19,\"./heatmap\":20,\"./heatmapgl\":21,\"./histogram\":22,\"./histogram2d\":23,\"./histogram2dcontour\":24,\"./image\":25,\"./indicator\":27,\"./isosurface\":28,\"./mesh3d\":29,\"./ohlc\":30,\"./parcats\":31,\"./parcoords\":32,\"./pie\":33,\"./pointcloud\":34,\"./sankey\":35,\"./scatter3d\":36,\"./scattercarpet\":37,\"./scattergeo\":38,\"./scattergl\":39,\"./scattermapbox\":40,\"./scatterpolar\":41,\"./scatterpolargl\":42,\"./scatterternary\":43,\"./sort\":44,\"./splom\":45,\"./streamtube\":46,\"./sunburst\":47,\"./surface\":48,\"./table\":49,\"./treemap\":50,\"./violin\":51,\"./volume\":52,\"./waterfall\":53}],27:[function(t,e,r){\"use 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        "/*!\n",
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@@ -123,7 +128,7 @@
        " * @author   Feross Aboukhadijeh <https://feross.org>\n",
        " * @license  MIT\n",
        " */\n",
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n=t(\"./compile.js\");e.exports=function(t){var e=[\"'use strict'\",\"var CACHED={}\"],r=[],a=t.funcName+\"_cwise_thunk\";e.push([\"return function \",a,\"(\",t.shimArgs.join(\",\"),\"){\"].join(\"\"));for(var i=[],o=[],s=[[\"array\",t.arrayArgs[0],\".shape.slice(\",Math.max(0,t.arrayBlockIndices[0]),t.arrayBlockIndices[0]<0?\",\"+t.arrayBlockIndices[0]+\")\":\")\"].join(\"\")],l=[],c=[],u=0;u<t.arrayArgs.length;++u){var 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2:this._point=3,this._x4=t,this._y4=e,this._context.moveTo((this._x0+4*this._x1+t)/6,(this._y0+4*this._y1+e)/6);break;default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},ft.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=NaN,this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3;var r=(this._x0+4*this._x1+t)/6,n=(this._y0+4*this._y1+e)/6;this._line?this._context.lineTo(r,n):this._context.moveTo(r,n);break;case 3:this._point=4;default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},pt.prototype={lineStart:function(){this._x=[],this._y=[],this._basis.lineStart()},lineEnd:function(){var t=this._x,e=this._y,r=t.length-1;if(r>0)for(var 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3:this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5)}},point:function(t,e){if(t=+t,e=+e,this._point){var r=this._x2-t,n=this._y2-e;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(r*r+n*n,this._alpha))}switch(this._point){case 0:this._point=1,this._x3=t,this._y3=e;break;case 1:this._point=2,this._context.moveTo(this._x4=t,this._y4=e);break;case 2:this._point=3,this._x5=t,this._y5=e;break;default:wt(this,t,e)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}};var At=function t(e){function r(t){return e?new Mt(t,e):new yt(t,0)}return r.alpha=function(e){return t(+e)},r}(.5);function 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        "/*!\n",
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h=u.prototype;function f(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}h.update=function(t){function e(e,r,n){if(n in t){var a,i=t[n],o=this[n];(e?Array.isArray(i)&&Array.isArray(i[0]):Array.isArray(i))?this[n]=a=[r(i[0]),r(i[1]),r(i[2])]:this[n]=a=[r(i),r(i),r(i)];for(var s=0;s<3;++s)if(a[s]!==o[s])return!0}return!1}t=t||{};var r,i=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,h=!1;if(\"bounds\"in t)for(var f=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)f[p][d]!==this.bounds[p][d]&&(h=!0),this.bounds[p][d]=f[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else i(\"tickSpacing\")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),i(\"tickSize\"),i(\"tickAngle\"),i(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),i(\"labelSize\"),i(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),i(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),i(\"lineTickLength\"),i(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),i(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),i(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=a(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,a){for(var i=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=i,f=s,p=o,d=l;c&1<<u&&(h=s,f=i,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],a[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,a=t.projection||l,i=this.bounds,s=t._ortho||!1,u=o(r,n,a,i,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(a[3]*b+a[7]*_+a[11]*w+a[15]*T)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=h[M],this.lastCubeProps.axis[M]=f[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,h,f);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=f[M]:E[M]=0;this._background.draw(r,n,a,i,E,this.backgroundColor),this._lines.bind(r,n,a,this);for(M=0;M<3;++M){var C=[0,0,0];f[M]>0?C[M]=i[1][M]:C[M]=i[0][M];for(var L=0;L<2;++L){var P=(M+1+L)%3,I=(M+1+(1^L))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,C,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(L=0;L<2;++L){P=(M+1+L)%3,I=(M+1+(1^L))%3;this.zeroEnable[I]&&Math.min(i[0][I],i[1][I])<=0&&Math.max(i[0][I],i[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,C,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(v,A[M].primalMinor),O=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(L=0;L<3;++L){var R=k/r[5*L];z[L]*=D[L]*R,O[L]*=D[L]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,O,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,a,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,a=(t+2)%3,i=e[n],o=e[a],s=r[n],l=r[a];i>0&&l>0||i>0&&l<0||i<0&&l>0||i<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(a)}for(M=0;M<3;++M){var U=A[M].primalMinor,V=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(L=0;L<3;++L)this.lineTickEnable[M]&&(q[L]+=k*U[L]*Math.max(this.lineTickLength[L],0)/r[5*L]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,U,V);for(L=0;L<3;++L)q[L]+=k*U[L]*this.tickPad[L]/r[5*L];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(L=0;L<3;++L)q[L]+=k*U[L]*this.labelPad[L]/r[5*L];q[M]+=.5*(i[0][M]+i[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":251,\"./lib/cube.js\":252,\"./lib/lines.js\":253,\"./lib/text.js\":255,\"./lib/ticks.js\":256}],251:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=a(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=i(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,a,i){for(var o=!1,s=0;s<3;++s)o=o||a[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:a,colors:i},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":258,\"gl-vao\":332}],252:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,i,p){a(s,e,t),a(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=i[x][2];for(var b=0;b<2;++b){u[1]=i[b][1];for(var _=0;_<2;++_)u[0]=i[_][0],f(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,C=-1,L=0;L<2;++L){var P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);o(c[z],c[P],c[I],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<M);else{for(L=0;L<2;++L){P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);var z,O=d([l[z],l[P],l[I],l[z+(1<<A)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<M)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,q=w;for(M=0;M<3;++M)V[M]=q&1<<M?-1:1;return v};var n=t(\"bit-twiddle\"),a=t(\"gl-mat4/multiply\"),i=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var a=0;a<3;++a)t[n]+=e[a]*r[4*a+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=i.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],a=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-a,h=l[0]/l[3]-n,f=l[1]/l[3]-a;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":97,\"gl-mat4/multiply\":280,\"robust-orientation\":520,\"split-polygon\":538}],253:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[h]=f,l[h]=m-f;f=o.length/3|0;for(var v=0;v<r[h].length;++v){g=+r[h][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[h]=f,u[h]=m-f}var y=n(t,new Float32Array(o)),x=a(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=i(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,a,i,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=a,this.tickOffset=i,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,a){var i=h(s);this.shader.uniforms.majorAxis=s,i[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=i;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,a){if(this.tickCount[t]){var i=h(o);i[t]=1,this.shader.uniforms.majorAxis=i,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=a;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,a,i){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,a,i){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":258,\"gl-vao\":332}],254:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return a(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return a(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":312,glslify:413}],255:[function(t,e,r){(function(r){\"use strict\";e.exports=function(t,e,r,i,s,l){var u=n(t),h=a(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);return p.update(e,r,i,s,l),p};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,h=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var a=this.shader.uniforms;a.model=t,a.view=e,a.projection=r,a.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,a){var o=[];function s(t,e,r,n,a,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return i(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:a,styletags:s}));for(var h=(n||12)/12,f=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=f[m[v]];o.push(h*y[0],-h*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(o.length/3|0)-h[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||a,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,a,i,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,a,i,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":254,_process:500,\"gl-buffer\":258,\"gl-vao\":332,\"vectorize-text\":572}],256:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),a=0;n>=0&&(a=r.length-n-1);var i=Math.pow(10,a),o=Math.round(t*e*i),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/i,c=o%i;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),a){for(var h=\"\"+c;h.length<a;)h=\"0\"+h;return u+\".\"+h}return u}r.create=function(t,e){for(var r=[],a=0;a<3;++a){for(var i=[],o=(t[0][a],t[1][a],0);o*e[a]<=t[1][a];++o)i.push({x:o*e[a],text:n(e[a],o)});for(o=-1;o*e[a]>=t[0][a];--o)i.push({x:o*e[a],text:n(e[a],o)});r.push(i)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var a=t[r][n],i=e[r][n];if(a.x!==i.x||a.text!==i.text||a.font!==i.font||a.fontColor!==i.fontColor||a.fontSize!==i.fontSize||a.dx!==i.dx||a.dy!==i.dy)return!1}}return!0}},{}],257:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||i(f,p,v,x,y)).axis;o(u,p,f),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var M=(k+1)%3,A=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var C=0;C<2;++C){S[M]=x[C^w][M];for(var L=0;L<2;++L)S[A]=x[L^C^w][A],E.push(S.slice())}var P=y?5:4;for(C=P;C===P;++C){if(0===E.length)continue t;E=a.positive(E,T[C])}for(C=0;C<E.length;++C){A=E[C];var I=d(m,u,A,r,l);for(L=0;L<3;++L)_[L].lo=Math.min(_[L].lo,A[L]),_[L].hi=Math.max(_[L].hi,A[L]),L!==k&&(_[L].pixelsPerDataUnit=Math.min(_[L].pixelsPerDataUnit,Math.abs(I[L])))}}}}return _};var n=t(\"extract-frustum-planes\"),a=t(\"split-polygon\"),i=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function 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Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,i,a),r}function u(t,e){for(var r=n.malloc(t.length,e),a=t.length,i=0;i<a;++i)r[i]=t[i];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&\"undefined\"!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=i(s,t.shape);a.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var a=t.createBuffer(),i=new s(t,r,a,0,n);return i.update(e),i}},{ndarray:469,\"ndarray-ops\":464,\"typedarray-pool\":567}],259:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,a=t.vectors,i={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),i;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),h=Math.min(x[2],h),f=Math.max(x[2],f);var b=a[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,h],T=[l,u,f];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),i.vectorScale=m;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*k),i.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],C=x[2],L=g[y],P=n.length(L)*k,I=0;I<8;I++){i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vertexIntensity.push(P,P,P),i.vertexIntensity.push(P,P,P);var z=i.positions.length;i.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return i};var a=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:a,traceType:\"cone\"})}},{\"./create_mesh\":260,\"./lib/shaders\":261,\"gl-vec3\":351}],260:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,a,i,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=a,this.triangleVectors=i,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var a=e[n],i=0;i<3;++i)r[4*n+i]=a[i];r[4*n+3]=255*a[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,a=t.vectors;if(n&&r&&a){var i=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=a;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];i.push(y[0],y[1],y[2],y[3]);var k=a[T];o.push(k[0],k[1],k[2],k[3]||0);var M,A=f;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),h.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(i),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:a,inverseModel:h.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:a,clipBounds:i,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),a={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?a.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(a.intensity=this.intensity[r[1]],a.velocity=this.vectors[r[1]].slice(0,3),a.divergence=this.vectors[r[1]][3],a.index=e),a},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var h=a(t),p=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:h,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new f(t,u,s,l,h,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-shader\":312,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469}],261:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:413}],262:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},{}],263:[function(t,e,r){var 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r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,a=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var i=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(a[3]*i+a[7]*s+a[11]*l+a[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var a=-1;a<=1;a+=2){var i=[0,0,0];i[(n+e)%3]=a,r.push(i)}t[e]=r}return t}();function h(t,e,r,n){for(var a=u[n],i=0;i<a.length;++i){var 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fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":312,glslify:413}],266:[function(t,e,r){\"use strict\";var n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){a||(a=t.FRAMEBUFFER_UNSUPPORTED,i=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var a=new Array(r),i=0;i<n;++i)a[i]=t.COLOR_ATTACHMENT0+i;for(i=n;i<r;++i)a[i]=t.NONE;l[n]=a}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var h=1;if(\"color\"in(n=n||{})){if((h=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(h>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(h>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+h+\" draw buffers\")}}var f=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&h>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");f=t.FLOAT}else n.preferFloat&&h>0&&p&&(f=t.FLOAT);var g=!0;\"depth\"in n&&(g=!!n.depth);var m=!1;\"stencil\"in n&&(m=!!n.stencil);return new d(t,e,r,f,h,g,m,c)};var a,i,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case a:throw new Error(\"gl-fbo: Framebuffer unsupported\");case i:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function f(t,e,r,a,i,o){if(!a)return null;var s=n(t,e,r,i,a);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,a){var i=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,i),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,a,t.RENDERBUFFER,i),i}function d(t,e,r,n,a,i,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(a);for(var d=0;d<a;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=i,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),a=t._shape[0],i=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=f(r,a,i,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,a,i,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=f(r,a,i,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,a,i,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,a,i,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,a,i,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,a,i,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,a=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var i=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,i),h(s)),u(n,i)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":327}],267:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),i=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=i(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));f[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var v=m[p];if(c+=v+\"\\n\",f[p+1]){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":66,\"gl-constants/lookup\":263,\"glsl-shader-name\":405,\"sprintf-js\":539}],268:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),a=o(r,l.pickVertex,l.pickFragment),i=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,a,i,u,h,f);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),a=t(\"iota-array\"),i=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,a,i,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=a,this.colorBuffer=i,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var a=t.gl,i=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=i[2]-i[0],c=i[3]-i[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-i[0])/l-1,u[7]=2*(r[1]-i[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,n)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,a=this.pickShader,i=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=i[2]-i[0],u=i[3]-i[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(i[0]-l[0])/h-1,t[7]=2*(i[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,a.bind();var d=a.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=a.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,a=this.shape[0]*this.shape[1];if(r<n||r>=n+a)return null;var i=r-n,o=this.xData,s=this.yData;return{object:this,pointId:i,dataCoord:[o[i%this.shape[0]],s[i/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||a(e[0]),o=t.y||a(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,h,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],h=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,h=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(h-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(f.length>>>1);this.numVertices=w;for(var T=i.mallocUint8(4*w),k=i.mallocFloat32(2*w),M=i.mallocUint8(2*w),A=i.mallocUint32(w),S=0,E=l?b-1:b,C=l?_-1:_,L=0;L<C;++L){var P,I;l?(P=x*(o[L]-u),I=x*(o[L+1]-u)):(P=L<_-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),I=L<_-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=y*(r[z]-c),D=y*(r[z+1]-c)):(O=z<b-1?y*(r[z]-(r[z+1]-r[z])/2-c):y*(r[z]-(r[z]-r[z-1])/2-c),D=z<b-1?y*(r[z]+(r[z+1]-r[z])/2-c):y*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<f.length;R+=2){var F,B,N,j,U=f[R],V=f[R+1],q=s[l?(L+V)*b+(z+U):L*b+z],H=n.le(d,q);if(H<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(H===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Y=1-G,W=4*H,Z=4*(H+1);F=Y*g[W]+G*g[Z],B=Y*g[W+1]+G*g[Z+1],N=Y*g[W+2]+G*g[Z+2],j=Y*g[W+3]+G*g[Z+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*O+.5*D,k[2*S+1]=.5*P+.5*I,M[2*S]=U,M[2*S+1]=V,A[S]=L*b+z,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(M),this.colorBuffer.update(T),this.idBuffer.update(A),i.free(k),i.free(T),i.free(M),i.free(A)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":269,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312,\"iota-array\":437,\"typedarray-pool\":567}],269:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:413}],270:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return a(t,i,o,null,l)},r.createPickShader=function(t){return a(t,i,s,null,l)}},{\"gl-shader\":312,glslify:413}],271:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=a(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=i(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),h=u.createShader,f=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var a=t[n]-e[n];r+=a*a}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,a,i){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=a,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=i,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return 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t[0]=1-(p+g),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],277:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],278:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=e[9],f=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-a*o,b=r*c-i*o,_=n*l-a*s,w=n*c-i*s,T=a*c-i*l,k=u*g-h*d,M=u*m-f*d,A=u*v-p*d,S=h*m-f*g,E=h*v-p*g,C=f*v-p*m,L=y*C-x*E+b*S+_*A-w*M+T*k;if(!L)return null;return L=1/L,t[0]=(s*C-l*E+c*S)*L,t[1]=(a*E-n*C-i*S)*L,t[2]=(g*T-m*w+v*_)*L,t[3]=(f*w-h*T-p*_)*L,t[4]=(l*A-o*C-c*M)*L,t[5]=(r*C-a*A+i*M)*L,t[6]=(m*b-d*T-v*x)*L,t[7]=(u*T-f*b+p*x)*L,t[8]=(o*E-s*A+c*k)*L,t[9]=(n*A-r*E-i*k)*L,t[10]=(d*w-g*b+v*y)*L,t[11]=(h*b-u*w-p*y)*L,t[12]=(s*M-o*S-l*k)*L,t[13]=(r*S-n*M+a*k)*L,t[14]=(g*x-d*_-m*y)*L,t[15]=(u*_-h*x+f*y)*L,t}},{}],279:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,a){var i,o,s,l,c,u,h,f,p,d,g=e[0],m=e[1],v=e[2],y=a[0],x=a[1],b=a[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);h=g-_,f=m-w,p=v-T,d=1/Math.sqrt(h*h+f*f+p*p),i=x*(p*=d)-b*(f*=d),o=b*(h*=d)-y*p,s=y*f-x*h,(d=Math.sqrt(i*i+o*o+s*s))?(i*=d=1/d,o*=d,s*=d):(i=0,o=0,s=0);l=f*s-p*o,c=p*i-h*s,u=h*o-f*i,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=i,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=c,t[6]=f,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(i*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(h*g+f*m+p*v),t[15]=1,t}},{\"./identity\":277}],280:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*h+w*g,t[1]=x*a+b*l+_*f+w*m,t[2]=x*i+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*h+w*g,t[5]=x*a+b*l+_*f+w*m,t[6]=x*i+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*h+w*g,t[9]=x*a+b*l+_*f+w*m,t[10]=x*i+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*h+w*g,t[13]=x*a+b*l+_*f+w*m,t[14]=x*i+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],281:[function(t,e,r){e.exports=function(t,e,r,n,a,i,o){var s=1/(e-r),l=1/(n-a),c=1/(i-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(a+n)*l,t[14]=(o+i)*c,t[15]=1,t}},{}],282:[function(t,e,r){e.exports=function(t,e,r,n,a){var i=1/Math.tan(e/2),o=1/(n-a);return t[0]=i/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=i,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(a+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*a*n*o,t[15]=0,t}},{}],283:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E=n[0],C=n[1],L=n[2],P=Math.sqrt(E*E+C*C+L*L);if(Math.abs(P)<1e-6)return null;E*=P=1/P,C*=P,L*=P,a=Math.sin(r),i=Math.cos(r),o=1-i,s=e[0],l=e[1],c=e[2],u=e[3],h=e[4],f=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+i,b=C*E*o+L*a,_=L*E*o-C*a,w=E*C*o-L*a,T=C*C*o+i,k=L*C*o+E*a,M=E*L*o+C*a,A=C*L*o-E*a,S=L*L*o+i,t[0]=s*x+h*b+g*_,t[1]=l*x+f*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+h*T+g*k,t[5]=l*w+f*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*M+h*A+g*S,t[9]=l*M+f*A+m*S,t[10]=c*M+p*A+v*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],284:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=i*a+c*n,t[5]=o*a+u*n,t[6]=s*a+h*n,t[7]=l*a+f*n,t[8]=c*a-i*n,t[9]=u*a-o*n,t[10]=h*a-s*n,t[11]=f*a-l*n,t}},{}],285:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a-c*n,t[1]=o*a-u*n,t[2]=s*a-h*n,t[3]=l*a-f*n,t[8]=i*n+c*a,t[9]=o*n+u*a,t[10]=s*n+h*a,t[11]=l*n+f*a,t}},{}],286:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a+c*n,t[1]=o*a+u*n,t[2]=s*a+h*n,t[3]=l*a+f*n,t[4]=c*a-i*n,t[5]=u*a-o*n,t[6]=h*a-s*n,t[7]=f*a-l*n,t}},{}],287:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],a=r[1],i=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*a,t[5]=e[5]*a,t[6]=e[6]*a,t[7]=e[7]*a,t[8]=e[8]*i,t[9]=e[9]*i,t[10]=e[10]*i,t[11]=e[11]*i,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],288:[function(t,e,r){e.exports=function(t,e,r){var n,a,i,o,s,l,c,u,h,f,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],t[0]=n,t[1]=a,t[2]=i,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*g+s*m+h*v+e[12],t[13]=a*g+l*m+f*v+e[13],t[14]=i*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],289:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],a=e[3],i=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=i,t[11]=e[14],t[12]=a,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],290:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),a=t(\"polytope-closest-point/lib/closest_point_2d.js\");function i(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var a=0;a<4;++a)r[a]+=t[4*n+a]*e[n];return r}function o(t,e,r,n,a){for(var o=i(n,i(r,i(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var a=t[n],i=e[n],o=0;o<3;++o)r[o]+=i*a[o];return r}e.exports=function(t,e,r,i,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),h=0;h<t.length;++h)u[h]=o(t[h],r,i,l,c);var f=0,p=1/0;for(h=0;h<u.length;++h){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[h][g]-e[g],2);d<p&&(p=d,f=h)}var m=function(t,e){if(2===t.length){for(var r=0,i=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),i+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),i=Math.sqrt(i),r+i<1e-6?[1,0]:[i/(r+i),r/(i+r)]}if(3===t.length){var s=[0,0];return a(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(h=0;h<3;++h){if(m[h]<-.001||m[h]>1.0001)return null;v+=m[h]}if(Math.abs(v-1)>.001)return null;return[f,s(t,m),m]}},{barycentric:78,\"polytope-closest-point/lib/closest_point_2d.js\":499}],291:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:413}],292:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),h=t(\"colormap\"),f=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,T,k,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=a,this.pickShader=i,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function L(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,a=e.vertexWeights,i=r.length,o=p.mallocFloat32(6*i),s=0,l=0;l<i;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],m=a[h],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),a=0;a<256;++a){for(var i=r[a],o=0;o<3;++o)n[4*a+o]=i[o];n[4*a+3]=e?255*M(a/255,e):255*i[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var a=[],i=[],l=[],c=[],f=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,A)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!I)if(P)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];O=Math.min(O,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];O=Math.min(O,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];O=Math.min(O,F),D=Math.max(D,F)}this.intensity=P||(z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?y.push(Z[0],Z[1],Z[2],this.opacity):(y.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(X[0],X[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?d.push(Z[0],Z[1],Z[2],this.opacity):(d.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],g.push(X[0],X[1]),m.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,Z,X,J;j=n[W=G[2-U]];a.push(j[0],j[1],j[2]),(Z=S?S[W]:E?E[R]:C)?this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?i.push(Z[0],Z[1],Z[2],this.opacity):(i.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)):i.push(.5,.5,.5,1),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(X[0],X[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),f.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(a),this.triangleColors.update(i),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:a,inverseModel:w.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:a,clipBounds:i,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,a=new Array(r.length),i=0;i<r.length;++i)a[i]=n[r[i]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=g(a,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(i=0;i<r.length;++i)d+=p[i]*this.intensity[r[i]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=A(t),s=S(t),l=E(t),c=C(t),h=L(t),f=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=a(t),g=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=a(t),_=a(t),w=a(t),k=a(t),M=i(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=a(t),z=a(t),O=a(t),D=a(t),R=a(t),F=i(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=a(t),N=i(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,h,f,d,y,g,m,v,x,b,k,_,w,M,I,R,z,O,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":290,\"./lib/shaders\":291,colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-shader\":312,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469,normals:472,\"simplicial-complex-contour\":528,\"typedarray-pool\":567}],293:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=a(e,i.boxVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,a){var i=this.plot,o=this.shader,c=i.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"gl-buffer\":258,\"gl-shader\":312}],294:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,o.gridVert,o.gridFrag),l=a(e,o.tickVert,o.gridFrag);return new s(t,r,i,l)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,a=t.gl,i=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=i[g],v=i[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&a.drawArrays(a.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*k/A,t[w]=2*(T-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,P=6*h[0].length,I=Math.min(i.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(i.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),O=0+6*I,D=6*Math.max(0,z-I),R=Math.min(i.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(i.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=P+6*R,N=6*Math.max(0,F-R);a[0]=2*(g[0]-E[1])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=C[1]*m/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[1]-E[0])/x-1,o[0]=C[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D)),a[0]=2*(g[2]+E[3])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=C[3]*m/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[3]+E[2])/x-1,o[0]=C[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D))}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),a=(this.plot.zeroLineEnable,0),i=[[],[]],o=0;o<2;++o)for(var s=i[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[a++]=d,n[a++]=f[g],n[a++]=p[g]}this.ticks=i,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":296,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312}],295:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=a(e,i.lineVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,a,i){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=a*o.pixelRatio,c.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"gl-buffer\":258,\"gl-shader\":312}],296:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:a,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:a,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:a,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:413}],297:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,s.textVert,s.textFrag);return new l(t,r,i)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],a=this.tickOffset[t],i=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var A=2/f[2+(1^t)]-f[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t]&&T&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],i.drawArrays(i.TRIANGLES,w,T)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t+2]&&T&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],i.drawArrays(i.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,a=r.gl,i=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-i[u])/(i[2+u]-i[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,a.drawArrays(a.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,a=t.screenBox,i=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=i[o],g=i[o+2]-h,m=a[o],v=a[o+2]-m;p[o]=2*l/u*g/v,f[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(a[3]-a[1]),d[0]=d[1]*(a[3]-a[1])/(a[2]-a[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,a,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";a=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=i(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*a,-n[r+1]*a-b*a*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=i(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,a=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=i(t.titleFont,t.title).data,a=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312,\"text-cache\":547}],298:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=a(c),c.text=i(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),a=t(\"./lib/grid\"),i=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,a=this.pixelRatio,i=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),i.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*a,r[0],r[3]+.5*v[3]*a,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*a,r[1],r[2]+.5*v[2]*a,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*a,r[2],r[3]+.5*v[3]*a,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*a,r[3],r[2]+.5*v[2]*a,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,a=this.viewBox,i=0|Math.round((t-a[0]/r)*n),o=0|Math.round((e-a[1]/r)*n),s=this.pickBuffer.query(i,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(i,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,a=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/a,10,10/a]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var i=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=i[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:i}),this.text.update({bounds:o,ticks:i,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":293,\"./lib/grid\":294,\"./lib/line\":295,\"./lib/text\":297,\"gl-select-static\":311}],299:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,a=e-2*r;c.idle(e-r),c.recalcMatrix(a),c.flush(e-(100+2*r));for(var i=!0,o=c.computedMatrix,s=0;s<16;++s)i=i&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,i?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),a=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var i=n();c._active.lookAt(i,r,a,e),c._active.lookAt(i+500,r,a,[0,0,1]),c._active.flush(i)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,a,i){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!i.control,p=!!i.alt,g=!!i.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(a-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!f&&!p&&!g||m&&!f&&!p&&g)&&c.rotate(M,w*k*b,-T*k*_,0),(l&&m&&!f&&!p&&!g||v||m&&f&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&m&&!f&&!p&&!g||y||m&&!f&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,h*(Math.exp(A)-1))}return d._lastX=r,d._lastY=a,d._lastMods=i,!0}}d.mouseListener=i(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods),t.preventDefault()}),!!l&&{passive:!1}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,a=d.flipY?1:-1,i=n();if(Math.abs(t)>Math.abs(e))c.rotate(i,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*a*e/window.innerHeight*(i-c.lastT())/20;c.pan(i,0,0,h*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),a=t(\"3d-view\"),i=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":54,\"has-passive-events\":415,\"mouse-change\":457,\"mouse-event-offset\":458,\"mouse-wheel\":460,\"right-now\":514}],300:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":312,glslify:413}],301:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),a=t(\"gl-axes3d\"),i=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),h=t(\"gl-mat4/perspective\"),f=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},M=a(r,k);M.enable=!k.disable;var A=t.spikes||{},S=o(r,A),E=[],C=[],L=[],P=[],I=!0,z=!0,O=new Array(16),D=new Array(16),R={view:null,projection:O,model:D,_ortho:!1},F=(z=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:M,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,z=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var a=0|Math.ceil(r*N.pixelRatio),i=0|Math.ceil(n*N.pixelRatio);if(a!==e.width||i!==e.height){e.width=a,e.height=i;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var a=E[n],i=a.pickSlots;if(i){for(var o=0;o<e;++o)if(L[o]+i<255){C[n]=o,a.setPickBase(L[o]+1),L[o]+=i;continue t}var l=s(r,F);C[n]=e,P.push(l),L.push(i),a.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),P.pop().dispose()}function q(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,z=!0)},N.add=function(t){N._stopped||(t.axes=M,E.push(t),C.push(-1),I=!0,z=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),I=!0,z=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",q),N.mouseListener.enabled=!1,!N.contextLost)){M.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,M=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,a=E.length,i=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(z=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<a;++c){var u=E[c];if(C[c]===s){var h=u.pick(l);h&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=h.distance,x.dataPosition=h.position,x.dataCoordinate=h.dataCoordinate,x.data=h,o=!0)}}}}}i&&i!==x.object&&(i.highlight&&i.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==i)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",q);var H=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[H[0].slice(),H[1].slice()];function Y(){if(!q()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,z=z||t,M.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=H[0],a=H[1];n[0]=n[1]=n[2]=1/0,a[0]=a[1]=a[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=N.pixelRatio,L.axes=N.axes,I=I||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),a[p]=Math.max(a[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(a[p]<n[p])n[p]=-1,a[p]=1;else{n[p]===a[p]&&(n[p]-=1,a[p]+=1);var g=.05*(a[p]-n[p]);n[p]=n[p]-g,a[p]=a[p]+g}d[0][p]=n[p],d[1][p]=a[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(z=z||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);M.autoTicks?M.update({bounds:d,tickSpacing:y}):M.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,a=n.projection,i=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(a,-p,p,-1,1,l,c),n._ortho=!0):(h(a,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)i[d]=0;i[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?i[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):i[5*d]=1/g,t.autoCenter&&(i[12+d]=.5*-i[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(L=E[o]).axesBounds=d,N.clipToBounds&&(L.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!1,function(){if(!q()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var a=P[n];a.shape=j,a.begin();for(var i=0;i<t;++i)if(C[i]===n){var o=E[i];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}a.end()}}}()),N.axesPixels=i(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var A=!1;M.enable&&(A=A||M.isTransparent(),M.draw(R)),S.axes=M,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(L=E[o]).axes=M,L.pixelRatio=N.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(R),L.isTransparent&&L.isTransparent()&&(A=!0)}if(A){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),M.enable&&M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":299,\"./lib/shader\":300,\"a-big-triangle\":64,\"gl-axes3d\":250,\"gl-axes3d/properties\":257,\"gl-fbo\":266,\"gl-mat4/ortho\":281,\"gl-mat4/perspective\":282,\"gl-select-static\":311,\"gl-spikes3d\":321,\"is-mobile\":441,\"mouse-change\":457}],302:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:413}],303:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=a,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,i=a(r),l=a(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,i,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,a=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=a?s:i.mallocFloat32(s.length),c=o?t.idToIndex:i.mallocInt32(n);if(a||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),a||i.free(l),o||i.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,a=this.plot.dataBox;if(0===this.pointCount)return t;var i=a[2]-a[0],o=a[3]-a[1],s=function(t,e){var r,n=0,a=t.length>>>1;for(r=0;r<a;r++){var i=t[2*r],o=t[2*r+1];i>=e[0]&&i<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,a),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/i,l[4]=2/o,l[6]=-2*a[0]/i-1,l[7]=-2*a[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,a=this.pointCount;if(r<n||r>=n+a)return null;var i=r-n,o=this.points;return{object:this,pointId:i,dataCoord:[o[2*i],o[2*i+1]]}}},{\"./lib/shader\":302,\"gl-buffer\":258,\"gl-shader\":312,\"typedarray-pool\":567}],304:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(i=c*p+u*d+h*g+f*m)<0&&(i=-i,p=-p,d=-d,g=-g,m=-m);1-i>1e-6?(a=Math.acos(i),o=Math.sin(a),s=Math.sin((1-n)*a)/o,l=Math.sin(n*a)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*m,t}},{}],305:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],306:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var i=a[e];i||(i=a[e]={});if(t in i)return i[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return i[t]=[s,u,h]};var a={}},{\"vectorize-text\":572}],307:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:i,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:i,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),a=r.attributes;return a.position.location=0,a.color.location=1,a.glyph.location=2,a.id.location=3,r}r.createPerspective=function(t){return v(t,h)},r.createOrtho=function(t){return v(t,f)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":312,glslify:413}],308:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e){var r=t[0],n=t[1],a=t[2],i=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*a+e[12]*i,t[1]=e[1]*r+e[5]*n+e[9]*a+e[13]*i,t[2]=e[2]*r+e[6]*n+e[10]*a+e[14]*i,t[3]=e[3]*r+e[7]*n+e[11]*a+e[15]*i,t}function p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,a,i,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=a,this.colorBuffer=i,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=a(e),f=a(e),p=a(e),d=a(e),g=i(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,h,f,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=h.slice(),k=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function C(t,e,r,n){var a,i=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,d=e.axesBounds,g=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);a=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(i[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,C=0;C<16;++C)v[C]=0;for(C=0;C<4;++C)v[5*C]=1;v[5*m]=0,a[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var L=(m+1)%3,P=(m+2)%3,I=A(x),z=A(b);I[L]=1,z[P]=1;var O=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=I,I=z,z=R;var F=L;L=P,P=F}O[0]<0&&(I[L]=-1),D[1]>0&&(z[P]=-1);var B=0,N=0;for(C=0;C<4;++C)B+=Math.pow(c[4*L+C],2),N+=Math.pow(c[4*P+C],2);I[L]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=z,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,a,i,o){var s=r.gl;if((i===r.projectHasAlpha||o)&&C(e,r,n,a),i===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=L,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=a,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*a),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,a){var i;i=Array.isArray(t)?e<t.length?t[e]:void 0:t,i=u(i);var o=!0;n(i)&&(i=\"\\u25bc\",o=!1);var s=c(i,r,a);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var a=0;a<3;++a)n.position[a]=n.dataCoordinate[a]=r[a];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,a=e>>16&255;this.highlightId=[r/255,n/255,a/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var a,i,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)a=c[0],i=c[1];else{a=[],i=[];for(n=0;n<c.length;++n)a[n]=c[n][0],i[n]=c[n][1]}var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*k.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),C=o.mallocFloat(4*S),L=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,O=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var q=0;Array.isArray(m)?q=n<m.length?+m[n]:0:m&&(q=+m);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],T=0;T<3;++T)h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=a,W=i;Y=0;Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);W=0;Array.isArray(i)?W=n<i.length?i[n]:0:i&&(W=i);var Z=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)C[4*z+$]=D[$];P[z]=y;var tt=J[K[Q]];L[2*z]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*z+1]=V*(G*tt[0]+H*tt[1]+Z[1]),z+=1}for(X=M.edges,J=M.positions,T=0;T<X.length;++T)for(K=X[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)C[4*O+$]=R[$];P[O]=y;tt=J[K[Q]];L[2*O]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*O+1]=V*(G*tt[0]+H*tt[1]+Z[1]),O+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(C),this.glyphBuffer.update(L),this.idBuffer.update(P),o.free(E),o.free(C),o.free(L),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":305,\"./lib/glyphs\":306,\"./lib/shaders\":307,\"gl-buffer\":258,\"gl-mat4/multiply\":280,\"gl-vao\":332,\"is-string-blank\":444,\"typedarray-pool\":567}],309:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:413}],310:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=a(r,[0,0,0,1,1,0,1,1]),l=n(r,i.boxVertex,i.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),a=(this.outerFill,this.outerColor),i=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,a),o.drawBox(0,f,h,d,a),o.drawBox(0,d,g,m,a),o.drawBox(p,f,g,d,a)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var v=r*u;o.drawBox(h-v,f-v,p+v,f+v,i),o.drawBox(h-v,d-v,p+v,d+v,i),o.drawBox(h-v,f-v,h+v,d+v,i),o.drawBox(p-v,f-v,p+v,d+v,i)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":309,\"gl-buffer\":258,\"gl-shader\":312}],311:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],i=e[1],o=n(t,r,i,{}),s=a.mallocUint8(r*i*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),a=t(\"typedarray-pool\"),i=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,a){this.coord=[t,e],this.id=r,this.value=n,this.distance=a}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){a.free(this.buffer);for(var n=this.buffer=a.mallocUint8(o(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=a||c<=l)return null;var u=[o-a,c-l],h=i(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(a+n[0]*l)),f=function(t,e,r){for(var n=1e8,a=-1,i=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),h=t.get(l,c,1),f=t.get(l,c,2),p=t.get(l,c,3);if(u<255||h<255||f<255||p<255){var d=e-l,g=r-c,m=d*d+g*g;m<n&&(n=m,a=l,i=c)}}return[a,i,n]}(h.hi(u[0],u[1],1),r,r),p=f[0],d=f[1];return p<0||Math.pow(this.radius,2)<f[2]?null:new s(p+a|0,d+l|0,h.get(p,d,0),[h.get(p,d,1),h.get(p,d,2),h.get(p,d,3)],Math.sqrt(f[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),a.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":97,\"gl-fbo\":266,ndarray:469,\"typedarray-pool\":567}],312:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),a=t(\"./lib/create-attributes\"),i=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function h(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),M=0;M<T;++M)k[M]=_.length,b.push(w.name+\"[\"+M+\"]\"),\"number\"==typeof w.location?_.push(w.location+M):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[M]?_.push(0|w.location[M]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var A=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(A)>=0;)A+=1;_[y]=A}var S=new Array(r.length);function E(){f.program=o.program(p,f._vref,f._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(f.program,r[t].name)}E(),f._relink=E,f.types={uniforms:i(r),attributes:i(c)},f.attributes=a(p,f,x,_),Object.defineProperty(f,\"uniforms\",n(p,f,r,S))},e.exports=function(t,e,r,n,a){var i=new c(t);return 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o=t.getActiveAttrib(e,a);o&&n.push({name:o.name,type:i(t,o.type)})}return n};var n={FLOAT:\"float\",FLOAT_VEC2:\"vec2\",FLOAT_VEC3:\"vec3\",FLOAT_VEC4:\"vec4\",INT:\"int\",INT_VEC2:\"ivec2\",INT_VEC3:\"ivec3\",INT_VEC4:\"ivec4\",BOOL:\"bool\",BOOL_VEC2:\"bvec2\",BOOL_VEC3:\"bvec3\",BOOL_VEC4:\"bvec4\",FLOAT_MAT2:\"mat2\",FLOAT_MAT3:\"mat3\",FLOAT_MAT4:\"mat4\",SAMPLER_2D:\"sampler2D\",SAMPLER_CUBE:\"samplerCube\"},a=null;function i(t,e){if(!a){var r=Object.keys(n);a={};for(var i=0;i<r.length;++i){var o=r[i];a[t[o]]=n[o]}}return a[e]}},{}],318:[function(t,e,r){\"use strict\";r.shader=function(t,e,r){return u(t).getShaderReference(e,r)},r.program=function(t,e,r,n,a){return u(t).getProgram(e,r,n,a)};var n=t(\"./GLError\"),a=t(\"gl-format-compiler-error\"),i=new(\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap),o=0;function s(t,e,r,n,a,i,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=i,this.programs=[],this.cache=o}function 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n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:413}],323:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),a=t(\"gl-vec4\"),i=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,i){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,i){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],g=0,m=0,v=a.create(),y=a.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/i,v=a.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(f.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(f[T],p[T],p[k],p[k],f[k],f[T]),h.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=f;f=p,p=A;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,i,o)})),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=h.length;h=h.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];f.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var a=t[r];if(a===e)return r;if(a>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var a=Math.abs(t[n]-t[n-1]);a<e&&(e=a)}return e};e.exports=function(t,e){var r=t.startingPositions,a=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=i.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var a=e.vectors,i=e.meshgrid,o=t[0],c=t[1],u=t[2],h=i[0].length,f=i[1].length,p=i[2].length,d=s(i[0],o),g=s(i[1],c),m=s(i[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,h-1),v=l(v,0,h-1),g=l(g,0,f-1),y=l(y,0,f-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>h-1||y>f-1||x>p-1)return n.create();var b,_,w,T,k,M,A=i[0][d],S=i[0][v],E=i[1][g],C=i[1][y],L=i[2][m],P=(o-A)/(S-A),I=(c-E)/(C-E),z=(u-L)/(i[2][x]-L);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,v=h-1-v),r.reversedY&&(g=f-1-g,y=f-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,M=x,w=g*p,T=y*p,b=d*p*f,_=v*p*f;break;case 4:k=m,M=x,b=d*p,_=v*p,w=g*p*h,T=y*p*h;break;case 3:w=g,T=y,k=m*f,M=x*f,b=d*f*p,_=v*f*p;break;case 2:w=g,T=y,b=d*f,_=v*f,k=m*f*h,M=x*f*h;break;case 1:b=d,_=v,k=m*h,M=x*h,w=g*h*p,T=y*h*p;break;default:b=d,_=v,w=g*h,T=y*h,k=m*h*f,M=x*h*f}var O=a[b+w+k],D=a[b+w+M],R=a[b+T+k],F=a[b+T+M],B=a[_+w+k],N=a[_+w+M],j=a[_+T+k],U=a[_+T+M],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,H,I),n.lerp(W,q,G,I);var Z=n.create();return n.lerp(Z,Y,W,z),Z}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),a=1e-4;n.add(r,t,[a,0,0]);var i=d(r);n.subtract(i,i,e),n.scale(i,i,1/a),n.add(r,t,[0,a,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/a),n.add(r,t,[0,0,a]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/a),n.add(r,i,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/a,M=k*k,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],a={},i={},o={},s=t.length,l=0;l<s;l++){var u=t[l],h=u[0],f=u[1],p=u[2];a[h]||(e.push(h),a[h]=!0),i[f]||(r.push(f),i[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var P=[L],I=[],z=d(L),O=L;I.push(z);var D=[],R=g(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*a&&P.length<a&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-M>-1e-4*M){P.push(N),O=N,I.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}L=N}}var U=o(m,t.colormap,S,A);return h?U.tubeScale=h:(0===S&&(S=1),U.tubeScale=.5*u*A/S),U};var u=t(\"./lib/shaders\"),h=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return h(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":322,\"gl-cone3d\":259,\"gl-vec3\":351,\"gl-vec4\":387}],324:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,i,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":312,glslify:413}],325:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=a(e),u=i(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),h=a(e),f=i(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=a(e),d=i(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new A(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),h=t(\"ndarray\"),f=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,a){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=a}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function A(t,e,r,n,a,i,o,l,c,u,f,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=a,this._coordinateBuffer=i,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.opacityscale=!1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=A.prototype;S.isTransparent=function(){return this.opacity<1||this.opacityscale},S.isOpaque=function(){if(this.opacityscale)return!1;if(this.opacity<1)return!1;if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0)return!0;return!1},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],C={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function L(t,e){var r,n,a,i=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=C.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(i[r]>0)][r],p(l,t.model,l);var c=C.clipBounds[r];for(a=0;a<2;++a)for(n=0;n<3;++n)c[a][n]=t.clipBounds[a][n];c[0][r]=-1e8,c[1][r]=1e8}return C.showSurface=o,C.showContour=s,C}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),z=[1,0,0,0,1,0,0,0,1];function O(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var a=0;a<2;++a)for(var i=n.clipBounds[a],o=0;o<3;++o)i[o]=Math.min(Math.max(this.clipBounds[a][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),a=0;a<3;++a)n.eyePosition[a]=s[12+a]/s[15];var l=s[15];for(a=0;a<3;++a)l+=this.lightPosition[a]*s[4*a+3];for(a=0;a<3;++a){var c=s[12+a];for(o=0;o<3;++o)c+=s[4*o+a]*this.lightPosition[o];n.lightPosition[a]=c/l}var u=L(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),a=0;a<3;++a)this.surfaceProject[a]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[a],this._shader.uniforms.clipBounds=u.clipBounds[a],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),a=0;a<3;++a)for(h.uniforms.permutation=k[a],r.lineWidth(this.contourWidth[a]*this.pixelRatio),o=0;o<this.contourLevels[a].length;++o)o===this.highlightLevel[a]?(h.uniforms.contourColor=this.highlightColor[a],h.uniforms.contourTint=this.highlightTint[a]):0!==o&&o-1!==this.highlightLevel[a]||(h.uniforms.contourColor=this.contourColor[a],h.uniforms.contourTint=this.contourTint[a]),this._contourCounts[a][o]&&(h.uniforms.height=this.contourLevels[a][o],f.draw(r.LINES,this._contourCounts[a][o],this._contourOffsets[a][o]));for(a=0;a<3;++a)for(h.uniforms.model=u.projections[a],h.uniforms.clipBounds=u.clipBounds[a],o=0;o<3;++o)if(this.contourProject[a][o]){h.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),a=0;a<3;++a)if(0!==this._dynamicCounts[a])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=k[a],r.lineWidth(this.dynamicWidth[a]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[a],h.uniforms.contourTint=this.dynamicTint[a],h.uniforms.height=this.dynamicLevel[a],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]),o=0;o<3;++o)this.contourProject[o][a]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]));f.unbind()}}S.draw=function(t){return O.call(this,t,!1)},S.drawTransparent=function(t){return O.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var a=r.clipBounds[n],i=0;i<3;++i)a[i]=Math.min(Math.max(this.clipBounds[n][i],-1e8),1e8);var o=L(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),i=0;i<3;++i)for(e.lineWidth(this.contourWidth[i]*this.pixelRatio),s.uniforms.permutation=k[i],n=0;n<this.contourLevels[i].length;++n)this._contourCounts[i][n]&&(s.uniforms.height=this.contourLevels[i][n],l.draw(e.LINES,this._contourCounts[i][n],this._contourOffsets[i][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],i=0;i<3;++i)if(this.contourProject[n][i]){s.uniforms.permutation=k[i],e.lineWidth(this.contourWidth[i]*this.pixelRatio);for(var c=0;c<this.contourLevels[i].length;++c)this._contourCounts[i][c]&&(s.uniforms.height=this.contourLevels[i][c],l.draw(e.LINES,this._contourCounts[i][c],this._contourOffsets[i][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,a=Math.floor(n),i=n-a,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;a+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?i:1-i,f=0;f<2;++f)for(var p=a+u,d=s+f,m=h*(f?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=i<.5?a:a+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var a=(e.shape[0]+2)*(e.shape[1]+2);a>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(a))),this._field[2]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var i=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2]);if(t.coords){var p=t.coords;if(!Array.isArray(p)||3!==p.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var d=p[o];for(b=0;b<2;++b)if(d.shape[b]!==i[b])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],d)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var v=g[o];if((Array.isArray(v)||v.length)&&(v=h(v)),v.shape[0]!==i[o])throw new Error(\"gl-surface: invalid tick length\");var y=h(v.data,i);y.stride[o]=v.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o<2;++o){var x=[0,0];x[o]=1,this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2],x,0)}this._field[0].set(0,0,0);for(var b=0;b<i[0];++b)this._field[0].set(b+1,0,b);for(this._field[0].set(i[0]+1,0,i[0]-1),this._field[1].set(0,0,0),b=0;b<i[1];++b)this._field[1].set(0,b+1,b);this._field[1].set(0,i[1]+1,i[1]-1)}var _=this._field,w=h(s.mallocFloat(3*_[2].size*2),[3,i[0]+2,i[1]+2,2]);for(o=0;o<3;++o)m(w.pick(o),_[o],\"mirror\");var k=h(s.mallocFloat(3*_[2].size),[i[0]+2,i[1]+2,3]);for(o=0;o<i[0]+2;++o)for(b=0;b<i[1]+2;++b){var M=w.get(0,o,b,0),A=w.get(0,o,b,1),S=w.get(1,o,b,0),E=w.get(1,o,b,1),C=w.get(2,o,b,0),L=w.get(2,o,b,1),P=S*L-E*C,I=C*A-L*M,z=M*E-A*S,O=Math.sqrt(P*P+I*I+z*z);O<1e-8?(O=Math.max(Math.abs(P),Math.abs(I),Math.abs(z)))<1e-8?(z=1,I=P=0,O=1):O=1/O:O=1/Math.sqrt(O),k.set(o,b,0,P*O),k.set(o,b,1,I*O),k.set(o,b,2,z*O)}s.free(w.data);var D=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],N=1/0,j=-1/0,U=(i[0]-1)*(i[1]-1)*6,V=s.mallocFloat(n.nextPow2(10*U)),q=0,H=0;for(o=0;o<i[0]-1;++o)t:for(b=0;b<i[1]-1;++b){for(var G=0;G<2;++G)for(var Y=0;Y<2;++Y)for(var W=0;W<3;++W){var Z=this._field[W].get(1+o+G,1+b+Y);if(isNaN(Z)||!isFinite(Z))continue t}for(W=0;W<6;++W){var X=o+T[W][0],J=b+T[W][1],K=this._field[0].get(X+1,J+1),Q=this._field[1].get(X+1,J+1);Z=this._field[2].get(X+1,J+1),P=k.get(X+1,J+1,0),I=k.get(X+1,J+1,1),z=k.get(X+1,J+1,2),t.intensity&&($=t.intensity.get(X,J));var $=t.intensity?t.intensity.get(X,J):Z+this.objectOffset[2];V[q++]=X,V[q++]=J,V[q++]=K,V[q++]=Q,V[q++]=Z,V[q++]=0,V[q++]=$,V[q++]=P,V[q++]=I,V[q++]=z,D[0]=Math.min(D[0],K+this.objectOffset[0]),D[1]=Math.min(D[1],Q+this.objectOffset[1]),D[2]=Math.min(D[2],Z+this.objectOffset[2]),N=Math.min(N,$),F[0]=Math.max(F[0],K+this.objectOffset[0]),F[1]=Math.max(F[1],Q+this.objectOffset[1]),F[2]=Math.max(F[2],Z+this.objectOffset[2]),j=Math.max(j,$),H+=1}}for(t.intensityBounds&&(N=+t.intensityBounds[0],j=+t.intensityBounds[1]),o=6;o<q;o+=10)V[o]=(V[o]-N)/(j-N);this._vertexCount=H,this._coordinateBuffer.update(V.subarray(0,q)),s.freeFloat(V),s.free(k.data),this.bounds=[D,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===N&&this.intensityBounds[1]===j||(r=!0),this.intensityBounds=[N,j]}if(\"levels\"in t){var tt=t.levels;for(tt=Array.isArray(tt[0])?tt.slice():[[],[],tt],o=0;o<3;++o)tt[o]=tt[o].slice(),tt[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(b=0;b<tt[o].length;++b)tt[o][b]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(tt[o].length!==this.contourLevels[o].length){r=!0;break}for(b=0;b<tt[o].length;++b)if(tt[o][b]!==this.contourLevels[o][b]){r=!0;break t}}this.contourLevels=tt}if(r){_=this._field,i=this.shape;for(var et=[],rt=0;rt<3;++rt){var nt=this.contourLevels[rt],at=[],it=[],ot=[0,0,0];for(o=0;o<nt.length;++o){var st=f(this._field[rt],nt[o]);at.push(et.length/5|0),H=0;t:for(b=0;b<st.cells.length;++b){var lt=st.cells[b];for(W=0;W<2;++W){var ct=st.positions[lt[W]],ut=ct[0],ht=0|Math.floor(ut),ft=ut-ht,pt=ct[1],dt=0|Math.floor(pt),gt=pt-dt,mt=!1;e:for(var vt=0;vt<3;++vt){ot[vt]=0;var yt=(rt+vt+1)%3;for(G=0;G<2;++G){var xt=G?ft:1-ft;for(X=0|Math.min(Math.max(ht+G,0),i[0]),Y=0;Y<2;++Y){var bt=Y?gt:1-gt;if(J=0|Math.min(Math.max(dt+Y,0),i[1]),Z=vt<2?this._field[yt].get(X,J):(this.intensity.get(X,J)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var _t=xt*bt;ot[vt]+=_t*Z}}}if(mt){if(W>0){for(var wt=0;wt<5;++wt)et.pop();H-=1}continue t}et.push(ot[0],ot[1],ct[0],ct[1],ot[2]),H+=1}}it.push(H)}this._contourOffsets[rt]=at,this._contourCounts[rt]=it}var Tt=s.mallocFloat(et.length);for(o=0;o<et.length;++o)Tt[o]=et[o];this._contourBuffer.update(Tt),s.freeFloat(Tt)}t.colormap&&this._colorMap.setPixels(function(t,e){var r=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,r){var n=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(r/255,e):1;return[t[0],t[1],t[2],255*n]}))]);return c.divseq(r,255),r}(t.colormap,this.opacityscale))},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,a=this.shape,i=s.mallocFloat(12*a[0]*a[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,a[0]),T=b-_,k=1-T,M=+x[1],A=0|M,S=0|Math.min(A+1,a[1]),E=M-A,C=1-E,L=k*C,P=k*E,I=T*C,z=T*E,O=L*h.get(_,A)+P*h.get(_,S)+I*h.get(w,A)+z*h.get(w,S),D=L*p.get(_,A)+P*p.get(_,S)+I*p.get(w,A)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){y&&(n-=1);break}i[2*n+0]=O,i[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(i.subarray(0,2*n)),s.freeFloat(i)}}},{\"./lib/shaders\":324,\"binary-search-bounds\":96,\"bit-twiddle\":97,colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469,\"ndarray-gradient\":462,\"ndarray-ops\":464,\"ndarray-pack\":465,\"surface-nets\":542,\"typedarray-pool\":567}],326:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),a=t(\"pick-by-alias\"),i=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),h=t(\"parse-rect\"),f=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),m=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||i({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(T.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(T.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=a(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=h(t.viewport),T.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,i=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var a=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&a==e.font[r].baseString||(i=!0,e.font[r]=T.fonts[a],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:a,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[a]=e.font[r]}})),(i||o)&&this.font.forEach((function(r,a){var i=n.stringify({size:e.fontSize[a],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[a]=e.shader.atlas[i],!e.fontAtlas[a]){var o=r.metrics;e.shader.atlas[i]=e.fontAtlas[a]={fontString:i,step:2*Math.ceil(e.fontSize[a]*o.bottom*.5),em:e.fontSize[a],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||i){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var a=e.fontAtlas[n],i=0;i<e.text.length;i++){var o=e.text.charAt(i);if(null==a.ids[o]&&(a.ids[o]=a.chars.length,a.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)k[A++]=t.position[2*M],k[A++]=t.position[2*M+1];else for(var C=0;C<S;C++)k[A++]=t.position[M][0],k[A++]=t.position[M][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||i){var L=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,z=0;I<this.counts.length;I++){for(var O=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<O;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(L[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],U=P[2*z],V=P[2*z-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*z+1]=V}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:L,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(L),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],a=n.step,i=Math.floor(T.maxAtlasSize/a),o=Math.min(i,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*a),u=x(s*a);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[a,a]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,a=0;return a+=.5*n.bottom,a+=\"number\"==typeof t?t-n.baseline:-n[t],T.normalViewport||(a*=-1),a}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var Z=t.color.length;H=u.mallocUint8(4*Z);for(var X=0;X<Z;X++)H.set(l(t.color[X]||0,\"uint8\"),4*X)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.normalViewport=!1,T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":97,\"color-normalize\":125,\"css-font\":144,\"detect-kerning\":172,\"es6-weak-map\":233,\"flatten-vertex-data\":244,\"font-atlas\":245,\"font-measure\":246,\"gl-util/context\":328,\"is-plain-obj\":443,\"object-assign\":473,\"parse-rect\":478,\"parse-unit\":480,\"pick-by-alias\":485,regl:512,\"to-px\":550,\"typedarray-pool\":567}],327:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),a=t(\"ndarray-ops\"),i=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var h=function(t,e){a.muls(t,e,255)};function f(t,e,r){var n=t.gl,a=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,a,i){this.gl=t,this.handle=e,this.format=a,this.type=i,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,a){var i=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture shape\");if(a===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,a,null),new p(t,o,e,r,n,a)}function y(t,e,r,n,a,i){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,a,a,i,e),new p(t,o,r,n,a,i)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=g(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,f,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];f=i.malloc(v,r);var x=n(f,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?a.assign(x,e):h(x,e),u=f.subarray(0,v)}var b=m(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||i.free(f),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),d.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,u){var f=u.dtype,p=u.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var d=0,m=0,v=g(p,u.stride.slice());\"float32\"===f?d=t.FLOAT:\"float64\"===f?(d=t.FLOAT,v=!1,f=\"float32\"):\"uint8\"===f?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,v=!1,f=\"uint8\");if(2===p.length)m=t.LUMINANCE,p=[p[0],p[1],1],u=n(u.data,p,[u.stride[0],u.stride[1],1],u.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])m=t.ALPHA;else if(2===p[2])m=t.LUMINANCE_ALPHA;else if(3===p[2])m=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");m=t.RGBA}p[2]}m!==t.LUMINANCE&&m!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(m=s);if(m!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var y=u.size,x=c.indexOf(o)<0;x&&c.push(o);if(d===l&&v)0===u.offset&&u.data.length===y?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,u.data.subarray(u.offset,u.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,u.data.subarray(u.offset,u.offset+y));else{var b;b=l===t.FLOAT?i.mallocFloat32(y):i.mallocUint8(y);var _=n(b,p,[p[2],p[2]*p[0],1]);d===t.FLOAT&&l===t.UNSIGNED_BYTE?h(_,u):a.assign(_,u),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,y)),l===t.FLOAT?i.freeFloat32(b):i.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:469,\"ndarray-ops\":464,\"typedarray-pool\":567}],328:[function(t,e,r){(function(r){\"use strict\";var n=t(\"pick-by-alias\");function 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n;try{n=s(r,i)}catch(e){t=e}e(t,n)}))},e.exports.types=Object.keys(i)}).call(this,t(\"buffer\").Buffer)},{\"./detector\":417,\"./types\":420,buffer:111,fs:109,path:481}],419:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){return r=r||0,t[\"readUInt\"+e+(n?\"BE\":\"LE\")].call(t,r)}},{}],420:[function(t,e,r){\"use strict\";var n={bmp:t(\"./types/bmp\"),cur:t(\"./types/cur\"),dds:t(\"./types/dds\"),gif:t(\"./types/gif\"),icns:t(\"./types/icns\"),ico:t(\"./types/ico\"),jpg:t(\"./types/jpg\"),png:t(\"./types/png\"),psd:t(\"./types/psd\"),svg:t(\"./types/svg\"),tiff:t(\"./types/tiff\"),webp:t(\"./types/webp\")};e.exports=n},{\"./types/bmp\":421,\"./types/cur\":422,\"./types/dds\":423,\"./types/gif\":424,\"./types/icns\":425,\"./types/ico\":426,\"./types/jpg\":427,\"./types/png\":428,\"./types/psd\":429,\"./types/svg\":430,\"./types/tiff\":431,\"./types/webp\":432}],421:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return\"BM\"===t.toString(\"ascii\",0,2)},calculate:function(t){return{width:t.readUInt32LE(18),height:Math.abs(t.readInt32LE(22))}}}},{}],422:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&2===t.readUInt16LE(2)},calculate:t(\"./ico\").calculate}},{\"./ico\":426}],423:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return 542327876===t.readUInt32LE(0)},calculate:function(t){return{height:t.readUInt32LE(12),width:t.readUInt32LE(16)}}}},{}],424:[function(t,e,r){\"use strict\";var n=/^GIF8[79]a/;e.exports={detect:function(t){var e=t.toString(\"ascii\",0,6);return n.test(e)},calculate:function(t){return{width:t.readUInt16LE(6),height:t.readUInt16LE(8)}}}},{}],425:[function(t,e,r){\"use strict\";var n={ICON:32,\"ICN#\":32,\"icm#\":16,icm4:16,icm8:16,\"ics#\":16,ics4:16,ics8:16,is32:16,s8mk:16,icp4:16,icl4:32,icl8:32,il32:32,l8mk:32,icp5:32,ic11:32,ich4:48,ich8:48,ih32:48,h8mk:48,icp6:64,ic12:32,it32:128,t8mk:128,ic07:128,ic08:256,ic13:256,ic09:512,ic14:512,ic10:1024};function a(t,e){var r=e+4;return[t.toString(\"ascii\",e,r),t.readUInt32BE(r)]}function i(t){var e=n[t];return{width:e,height:e,type:t}}e.exports={detect:function(t){return\"icns\"===t.toString(\"ascii\",0,4)},calculate:function(t){var e,r,n,o=t.length,s=8,l=t.readUInt32BE(4);if(r=i((e=a(t,s))[0]),(s+=e[1])===l)return r;for(n={width:r.width,height:r.height,images:[r]};s<l&&s<o;)r=i((e=a(t,s))[0]),s+=e[1],n.images.push(r);return n}}},{}],426:[function(t,e,r){\"use strict\";function n(t,e){var r=t.readUInt8(e);return 0===r?256:r}function a(t,e){var r=6+16*e;return{width:n(t,r),height:n(t,r+1)}}e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&1===t.readUInt16LE(2)},calculate:function(t){var e,r=t.readUInt16LE(4),n=a(t,0);if(1===r)return n;for(n.images=[{width:n.width,height:n.height}],e=1;e<r;e+=1)n.images.push(a(t,e));return n}}},{}],427:[function(t,e,r){\"use strict\";var n=t(\"../readUInt\");function a(t){return\"45786966\"===t.toString(\"hex\",2,6)}function i(t,e){return{height:t.readUInt16BE(e),width:t.readUInt16BE(e+2)}}function o(t,e){var r=t.slice(2,e),a=r.toString(\"hex\",6,8),i=\"4d4d\"===a;if(i||\"4949\"===a)return function(t,e){for(var r,a,i=n(t,16,14,e),o=0;o<i;o++){if(a=(r=16+12*o)+12,r>t.length)return;var s=t.slice(r,a);if(274===n(s,16,0,e)){if(3!==n(s,16,2,e))return;if(1!==n(s,32,4,e))return;return n(s,16,8,e)}}}(r,i)}function s(t,e){if(e>t.length)throw new TypeError(\"Corrupt JPG, exceeded buffer limits\");if(255!==t[e])throw new TypeError(\"Invalid JPG, marker table corrupted\")}e.exports={detect:function(t){return\"ffd8\"===t.toString(\"hex\",0,2)},calculate:function(t){var e,r,n;for(t=t.slice(4);t.length;){if(r=t.readUInt16BE(0),a(t)&&(e=o(t,r)),s(t,r),192===(n=t[r+1])||193===n||194===n){var l=i(t,r+5);return e?{width:l.width,height:l.height,orientation:e}:l}t=t.slice(r+2)}throw new TypeError(\"Invalid JPG, no size found\")}}},{\"../readUInt\":419}],428:[function(t,e,r){\"use strict\";e.exports={detect:function(t){if(\"PNG\\r\\n\\x1a\\n\"===t.toString(\"ascii\",1,8)){var e=t.toString(\"ascii\",12,16);if(\"CgBI\"===e&&(e=t.toString(\"ascii\",28,32)),\"IHDR\"!==e)throw new TypeError(\"invalid png\");return!0}},calculate:function(t){return\"CgBI\"===t.toString(\"ascii\",12,16)?{width:t.readUInt32BE(32),height:t.readUInt32BE(36)}:{width:t.readUInt32BE(16),height:t.readUInt32BE(20)}}}},{}],429:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return\"8BPS\"===t.toString(\"ascii\",0,4)},calculate:function(t){return{width:t.readUInt32BE(18),height:t.readUInt32BE(14)}}}},{}],430:[function(t,e,r){\"use strict\";var n=/<svg\\s([^>\"']|\"[^\"]*\"|'[^']*')*>/;var a={root:n,width:/\\swidth=(['\"])([^%]+?)\\1/,height:/\\sheight=(['\"])([^%]+?)\\1/,viewbox:/\\sviewBox=(['\"])(.+?)\\1/},i={cm:96/2.54,mm:96/2.54/10,m:96/2.54*100,pt:96/72,pc:96/72/12,em:16,ex:8};function o(t){var e=/([0-9.]+)([a-z]*)/.exec(t);if(e)return Math.round(parseFloat(e[1])*(i[e[2]]||1))}function s(t){var e=t.split(\" \");return{width:o(e[2]),height:o(e[3])}}e.exports={detect:function(t){return n.test(t)},calculate:function(t){var e=t.toString(\"utf8\").match(a.root);if(e){var r=function(t){var e=t.match(a.width),r=t.match(a.height),n=t.match(a.viewbox);return{width:e&&o(e[2]),height:r&&o(r[2]),viewbox:n&&s(n[2])}}(e[0]);if(r.width&&r.height)return function(t){return{width:t.width,height:t.height}}(r);if(r.viewbox)return function(t){var e=t.viewbox.width/t.viewbox.height;return t.width?{width:t.width,height:Math.floor(t.width/e)}:t.height?{width:Math.floor(t.height*e),height:t.height}:{width:t.viewbox.width,height:t.viewbox.height}}(r)}throw new TypeError(\"invalid svg\")}}},{}],431:[function(t,e,r){(function(r){\"use strict\";var n=t(\"fs\"),a=t(\"../readUInt\");function i(t,e){var r=a(t,16,8,e);return(a(t,16,10,e)<<16)+r}function o(t){if(t.length>24)return t.slice(12)}e.exports={detect:function(t){var e=t.toString(\"hex\",0,4);return\"49492a00\"===e||\"4d4d002a\"===e},calculate:function(t,e){if(!e)throw new TypeError(\"Tiff doesn't support buffer\");var s=\"BE\"===function(t){var e=t.toString(\"ascii\",0,2);return\"II\"===e?\"LE\":\"MM\"===e?\"BE\":void 0}(t),l=function(t,e){for(var r,n,s,l={};t&&t.length&&(r=a(t,16,0,e),n=a(t,16,2,e),s=a(t,32,4,e),0!==r);)1!==s||3!==n&&4!==n||(l[r]=i(t,e)),t=o(t);return l}(function(t,e,i){var o=a(t,32,4,i),s=1024,l=n.statSync(e).size;o+s>l&&(s=l-o-10);var c=r.alloc(s),u=n.openSync(e,\"r\");return n.readSync(u,c,0,s,o),c.slice(2)}(t,e,s),s),c=l[256],u=l[257];if(!c||!u)throw new TypeError(\"Invalid Tiff, missing tags\");return{width:c,height:u}}}}).call(this,t(\"buffer\").Buffer)},{\"../readUInt\":419,buffer:111,fs:109}],432:[function(t,e,r){\"use strict\";e.exports={detect:function(t){var e=\"RIFF\"===t.toString(\"ascii\",0,4),r=\"WEBP\"===t.toString(\"ascii\",8,12),n=\"VP8\"===t.toString(\"ascii\",12,15);return e&&r&&n},calculate:function(t){var e=t.toString(\"ascii\",12,16);if(t=t.slice(20,30),\"VP8X\"===e){var r=t[0];return!(!(0==(192&r))||!(0==(1&r)))&&function(t){return{width:1+t.readUIntLE(4,3),height:1+t.readUIntLE(7,3)}}(t)}if(\"VP8 \"===e&&47!==t[0])return function(t){return{width:16383&t.readInt16LE(6),height:16383&t.readInt16LE(8)}}(t);var n=t.toString(\"hex\",3,6);return\"VP8L\"===e&&\"9d012a\"!==n&&function(t){return{width:1+((63&t[2])<<8|t[1]),height:1+((15&t[4])<<10|t[3]<<2|(192&t[2])>>6)}}(t)}}},{}],433:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.length;if(0===r)throw new Error(\"Must have at least d+1 points\");var a=t[0].length;if(r<=a)throw new Error(\"Must input at least d+1 points\");var o=t.slice(0,a+1),s=n.apply(void 0,o);if(0===s)throw new Error(\"Input not in general position\");for(var l=new Array(a+1),u=0;u<=a;++u)l[u]=u;s<0&&(l[0]=1,l[1]=0);var h=new i(l,new Array(a+1),!1),f=h.adjacent,p=new Array(a+2);for(u=0;u<=a;++u){for(var d=l.slice(),g=0;g<=a;++g)g===u&&(d[g]=-1);var m=d[0];d[0]=d[1],d[1]=m;var v=new i(d,new Array(a+1),!0);f[u]=v,p[u]=v}p[a+1]=h;for(u=0;u<=a;++u){d=f[u].vertices;var y=f[u].adjacent;for(g=0;g<=a;++g){var x=d[g];if(x<0)y[g]=h;else for(var b=0;b<=a;++b)f[b].vertices.indexOf(x)<0&&(y[g]=f[b])}}var _=new c(a,o,p),w=!!e;for(u=a+1;u<r;++u)_.insert(t[u],w);return _.boundary()};var n=t(\"robust-orientation\"),a=t(\"simplicial-complex\").compareCells;function i(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function 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s=t.adjacent,l=0;l<=r;++l){var c=s[l];if(c.boundary&&!(c.lastVisited<=-n)){for(var u=c.vertices,h=0;h<=r;++h){var f=u[h];a[h]=f<0?e:i[f]}var p=this.orient();if(p>0)return c;c.lastVisited=-n,0===p&&o.push(c)}}}return null},u.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,a=this.vertices,i=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,c=s.adjacent,u=0;u<=n;++u)i[u]=a[l[u]];s.lastVisited=r;for(u=0;u<=n;++u){var h=c[u];if(!(h.lastVisited>=r)){var f=i[u];i[u]=t;var p=this.orient();if(i[u]=f,p<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},u.addPeaks=function(t,e){var r=this.vertices.length-1,n=this.dimension,a=this.vertices,l=this.tuple,c=this.interior,u=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,c.push(e);for(var f=[];h.length>0;){var p=(e=h.pop()).vertices,d=e.adjacent,g=p.indexOf(r);if(!(g<0))for(var m=0;m<=n;++m)if(m!==g){var v=d[m];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var x=0,b=0;b<=n;++b)y[b]<0?(x=b,l[b]=t):l[b]=a[y[b]];if(this.orient()>0){y[x]=r,v.boundary=!1,c.push(v),h.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var _=v.adjacent,w=p.slice(),T=d.slice(),k=new i(w,T,!0);u.push(k);var M=_.indexOf(e);if(!(M<0)){_[M]=k,T[g]=v,w[m]=-1,T[m]=e,d[m]=k,k.flip();for(b=0;b<=n;++b){var A=w[b];if(!(A<0||A===r)){for(var S=new Array(n-1),E=0,C=0;C<=n;++C){var L=w[C];L<0||C===b||(S[E++]=L)}f.push(new o(S,k,b))}}}}}}f.sort(s);for(m=0;m+1<f.length;m+=2){var P=f[m],I=f[m+1],z=P.index,O=I.index;z<0||O<0||(P.cell.adjacent[P.index]=I.cell,I.cell.adjacent[I.index]=P.cell)}},u.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var a=this.dimension,i=this.tuple,o=0;o<=a;++o){var s=n.vertices[o];i[o]=s<0?t:r[s]}var l=this.orient(i);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},u.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,a=0;a<n;++a){var i=r[a];if(i.boundary){for(var o=new Array(t),s=i.vertices,l=0,c=0,u=0;u<=t;++u)s[u]>=0?o[l++]=s[u]:c=1&u;if(c===(1&t)){var h=o[0];o[0]=o[1],o[1]=h}e.push(o)}}return e}},{\"robust-orientation\":520,\"simplicial-complex\":530}],434:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\");function a(t,e,r,n,a){this.mid=t,this.left=e,this.right=r,this.leftPoints=n,this.rightPoints=a,this.count=(e?e.count:0)+(r?r.count:0)+n.length}e.exports=function(t){if(!t||0===t.length)return new v(null);return new v(m(t))};var i=a.prototype;function o(t,e){t.mid=e.mid,t.left=e.left,t.right=e.right,t.leftPoints=e.leftPoints,t.rightPoints=e.rightPoints,t.count=e.count}function s(t,e){var 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t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new f(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var h=e[e.length-2];h.left===r?h.left=null:h.right===r&&(h.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var f=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=a(n)).right=a(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=a(n)).left=a(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=i(0,n));r.right=i(0,n);continue}n=a(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=a(n)).left=a(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=a(n)).right=a(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=i(0,n));r.left=i(0,n);continue}var c;n=a(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),f.left===r?f.left=null:f.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),a=e[e.length-1];r[r.length-1]=new n(a._color,a.key,t,a.left,a.right,a._count);for(var i=e.length-2;i>=0;--i)(a=e[i]).left===e[i+1]?r[i]=new n(a._color,a.key,a.value,r[i+1],a.right,a._count):r[i]=new n(a._color,a.key,a.value,a.left,r[i+1],a._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],248:[function(t,e,r){var n=[.9999999999998099,676.5203681218851,-1259.1392167224028,771.3234287776531,-176.6150291621406,12.507343278686905,-.13857109526572012,9984369578019572e-21,1.5056327351493116e-7],a=[.9999999999999971,57.15623566586292,-59.59796035547549,14.136097974741746,-.4919138160976202,3399464998481189e-20,4652362892704858e-20,-9837447530487956e-20,.0001580887032249125,-.00021026444172410488,.00021743961811521265,-.0001643181065367639,8441822398385275e-20,-26190838401581408e-21,36899182659531625e-22];function i(t){if(t<0)return Number(\"0/0\");for(var e=a[0],r=a.length-1;r>0;--r)e+=a[r]/(t+r);var n=t+607/128+.5;return.5*Math.log(2*Math.PI)+(t+.5)*Math.log(n)-n+Math.log(e)-Math.log(t)}e.exports=function t(e){if(e<.5)return Math.PI/(Math.sin(Math.PI*e)*t(1-e));if(e>100)return Math.exp(i(e));e-=1;for(var r=n[0],a=1;a<9;a++)r+=n[a]/(e+a);var o=e+7+.5;return Math.sqrt(2*Math.PI)*Math.pow(o,e+.5)*Math.exp(-o)*r},e.exports.log=i},{}],249:[function(t,e,r){e.exports=function(t,e){if(\"string\"!=typeof t)throw new TypeError(\"must specify type string\");if(e=e||{},\"undefined\"==typeof document&&!e.canvas)return null;var r=e.canvas||document.createElement(\"canvas\");\"number\"==typeof e.width&&(r.width=e.width);\"number\"==typeof e.height&&(r.height=e.height);var n,a=e;try{var i=[t];0===t.indexOf(\"webgl\")&&i.push(\"experimental-\"+t);for(var o=0;o<i.length;o++)if(n=r.getContext(i[o],a))return n}catch(t){n=null}return n||null}},{}],250:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),a=t(\"./lib/lines.js\"),i=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=i(t)}var h=u.prototype;function f(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}h.update=function(t){function e(e,r,n){if(n in t){var a,i=t[n],o=this[n];(e?Array.isArray(i)&&Array.isArray(i[0]):Array.isArray(i))?this[n]=a=[r(i[0]),r(i[1]),r(i[2])]:this[n]=a=[r(i),r(i),r(i)];for(var s=0;s<3;++s)if(a[s]!==o[s])return!0}return!1}t=t||{};var r,i=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,h=!1;if(\"bounds\"in t)for(var f=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)f[p][d]!==this.bounds[p][d]&&(h=!0),this.bounds[p][d]=f[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else i(\"tickSpacing\")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),i(\"tickSize\"),i(\"tickAngle\"),i(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),i(\"labelSize\"),i(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),i(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),i(\"lineTickLength\"),i(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),i(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),i(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=a(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,a){for(var i=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=i,f=s,p=o,d=l;c&1<<u&&(h=s,f=i,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],a[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,a=t.projection||l,i=this.bounds,s=t._ortho||!1,u=o(r,n,a,i,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(a[3]*b+a[7]*_+a[11]*w+a[15]*T)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=h[M],this.lastCubeProps.axis[M]=f[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,h,f);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=f[M]:E[M]=0;this._background.draw(r,n,a,i,E,this.backgroundColor),this._lines.bind(r,n,a,this);for(M=0;M<3;++M){var C=[0,0,0];f[M]>0?C[M]=i[1][M]:C[M]=i[0][M];for(var L=0;L<2;++L){var P=(M+1+L)%3,I=(M+1+(1^L))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,C,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(L=0;L<2;++L){P=(M+1+L)%3,I=(M+1+(1^L))%3;this.zeroEnable[I]&&Math.min(i[0][I],i[1][I])<=0&&Math.max(i[0][I],i[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,C,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(v,A[M].primalMinor),O=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(L=0;L<3;++L){var R=k/r[5*L];z[L]*=D[L]*R,O[L]*=D[L]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,O,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,a,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,a=(t+2)%3,i=e[n],o=e[a],s=r[n],l=r[a];i>0&&l>0||i>0&&l<0||i<0&&l>0||i<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(a)}for(M=0;M<3;++M){var U=A[M].primalMinor,V=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(L=0;L<3;++L)this.lineTickEnable[M]&&(q[L]+=k*U[L]*Math.max(this.lineTickLength[L],0)/r[5*L]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,U,V);for(L=0;L<3;++L)q[L]+=k*U[L]*this.tickPad[L]/r[5*L];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(L=0;L<3;++L)q[L]+=k*U[L]*this.labelPad[L]/r[5*L];q[M]+=.5*(i[0][M]+i[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":251,\"./lib/cube.js\":252,\"./lib/lines.js\":253,\"./lib/text.js\":255,\"./lib/ticks.js\":256}],251:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=a(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=i(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,a,i){for(var o=!1,s=0;s<3;++s)o=o||a[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:a,colors:i},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":258,\"gl-vao\":332}],252:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,i,p){a(s,e,t),a(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=i[x][2];for(var b=0;b<2;++b){u[1]=i[b][1];for(var _=0;_<2;++_)u[0]=i[_][0],f(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,C=-1,L=0;L<2;++L){var P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);o(c[z],c[P],c[I],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<M);else{for(L=0;L<2;++L){P=(z=L<<M)+(L<<A)+(1-L<<S),I=z+(1-L<<A)+(L<<S);var z,O=d([l[z],l[P],l[I],l[z+(1<<A)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<M)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,q=w;for(M=0;M<3;++M)V[M]=q&1<<M?-1:1;return v};var n=t(\"bit-twiddle\"),a=t(\"gl-mat4/multiply\"),i=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var a=0;a<3;++a)t[n]+=e[a]*r[4*a+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=i.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],a=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-a,h=l[0]/l[3]-n,f=l[1]/l[3]-a;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":97,\"gl-mat4/multiply\":280,\"robust-orientation\":520,\"split-polygon\":538}],253:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[h]=f,l[h]=m-f;f=o.length/3|0;for(var v=0;v<r[h].length;++v){g=+r[h][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[h]=f,u[h]=m-f}var y=n(t,new Float32Array(o)),x=a(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=i(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,a,i,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=a,this.tickOffset=i,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,a){var i=h(s);this.shader.uniforms.majorAxis=s,i[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=i;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,a){if(this.tickCount[t]){var i=h(o);i[t]=1,this.shader.uniforms.majorAxis=i,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=a;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,a,i){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,a,i){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":258,\"gl-vao\":332}],254:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return a(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return a(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":312,glslify:413}],255:[function(t,e,r){(function(r){\"use strict\";e.exports=function(t,e,r,i,s,l){var u=n(t),h=a(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);return p.update(e,r,i,s,l),p};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,h=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var a=this.shader.uniforms;a.model=t,a.view=e,a.projection=r,a.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,a){var o=[];function s(t,e,r,n,a,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return i(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:a,styletags:s}));for(var h=(n||12)/12,f=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=f[m[v]];o.push(h*y[0],-h*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(o.length/3|0)-h[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||a,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,a,i,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,a,i,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":254,_process:500,\"gl-buffer\":258,\"gl-vao\":332,\"vectorize-text\":572}],256:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),a=0;n>=0&&(a=r.length-n-1);var i=Math.pow(10,a),o=Math.round(t*e*i),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/i,c=o%i;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),a){for(var h=\"\"+c;h.length<a;)h=\"0\"+h;return u+\".\"+h}return u}r.create=function(t,e){for(var r=[],a=0;a<3;++a){for(var i=[],o=(t[0][a],t[1][a],0);o*e[a]<=t[1][a];++o)i.push({x:o*e[a],text:n(e[a],o)});for(o=-1;o*e[a]>=t[0][a];--o)i.push({x:o*e[a],text:n(e[a],o)});r.push(i)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var a=t[r][n],i=e[r][n];if(a.x!==i.x||a.text!==i.text||a.font!==i.font||a.fontColor!==i.fontColor||a.fontSize!==i.fontSize||a.dx!==i.dx||a.dy!==i.dy)return!1}}return!0}},{}],257:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||i(f,p,v,x,y)).axis;o(u,p,f),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var M=(k+1)%3,A=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var C=0;C<2;++C){S[M]=x[C^w][M];for(var L=0;L<2;++L)S[A]=x[L^C^w][A],E.push(S.slice())}var P=y?5:4;for(C=P;C===P;++C){if(0===E.length)continue t;E=a.positive(E,T[C])}for(C=0;C<E.length;++C){A=E[C];var I=d(m,u,A,r,l);for(L=0;L<3;++L)_[L].lo=Math.min(_[L].lo,A[L]),_[L].hi=Math.max(_[L].hi,A[L]),L!==k&&(_[L].pixelsPerDataUnit=Math.min(_[L].pixelsPerDataUnit,Math.abs(I[L])))}}}}return _};var n=t(\"extract-frustum-planes\"),a=t(\"split-polygon\"),i=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,a){for(var i=0;i<3;++i){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[i]+=1,l(s,s,e),s[3]<0&&(t[i]=1/0),o[i]-=1,l(o,o,e),o[3]<0&&(t[i]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*a;t[i]=.25*Math.sqrt(u*u+h*h)}return t}var g=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],m=[0,0,0]},{\"./lib/cube.js\":252,\"extract-frustum-planes\":240,\"gl-mat4/multiply\":280,\"gl-mat4/transpose\":289,\"gl-vec4/transformMat4\":403,\"split-polygon\":538}],258:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),a=t(\"ndarray-ops\"),i=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,a){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=a}var l=s.prototype;function c(t,e,r,n,a,i){var o=a.length*a.BYTES_PER_ELEMENT;if(i<0)return t.bufferData(e,a,n),o;if(o+i>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,i,a),r}function u(t,e){for(var r=n.malloc(t.length,e),a=t.length,i=0;i<a;++i)r[i]=t[i];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&\"undefined\"!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=i(s,t.shape);a.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var a=t.createBuffer(),i=new s(t,r,a,0,n);return i.update(e),i}},{ndarray:469,\"ndarray-ops\":464,\"typedarray-pool\":567}],259:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,a=t.vectors,i={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),i;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),h=Math.min(x[2],h),f=Math.max(x[2],f);var b=a[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,h],T=[l,u,f];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),i.vectorScale=m;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*k),i.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],C=x[2],L=g[y],P=n.length(L)*k,I=0;I<8;I++){i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.positions.push([S,E,C,A++]),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vectors.push(L),i.vertexIntensity.push(P,P,P),i.vertexIntensity.push(P,P,P);var z=i.positions.length;i.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return i};var a=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:a,traceType:\"cone\"})}},{\"./create_mesh\":260,\"./lib/shaders\":261,\"gl-vec3\":351}],260:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,a,i,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=a,this.triangleVectors=i,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var a=e[n],i=0;i<3;++i)r[4*n+i]=a[i];r[4*n+3]=255*a[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,a=t.vectors;if(n&&r&&a){var i=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=a;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];i.push(y[0],y[1],y[2],y[3]);var k=a[T];o.push(k[0],k[1],k[2],k[3]||0);var M,A=f;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),h.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(i),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:a,inverseModel:h.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:a,clipBounds:i,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),a={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?a.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(a.intensity=this.intensity[r[1]],a.velocity=this.vectors[r[1]].slice(0,3),a.divergence=this.vectors[r[1]][3],a.index=e),a},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var h=a(t),p=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:h,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new f(t,u,s,l,h,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-shader\":312,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469}],261:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:413}],262:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},{}],263:[function(t,e,r){var 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t.bindRenderbuffer(t.RENDERBUFFER,i),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,a,t.RENDERBUFFER,i),i}function d(t,e,r,n,a,i,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(a);for(var d=0;d<a;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=i,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),a=t._shape[0],i=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=f(r,a,i,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,a,i,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=f(r,a,i,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,a,i,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,a,i,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,a,i,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,a,i,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,a=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var i=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,i),h(s)),u(n,i)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":327}],267:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),i=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=i(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));f[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var v=m[p];if(c+=v+\"\\n\",f[p+1]){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":66,\"gl-constants/lookup\":263,\"glsl-shader-name\":405,\"sprintf-js\":539}],268:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),a=o(r,l.pickVertex,l.pickFragment),i=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,a,i,u,h,f);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),a=t(\"iota-array\"),i=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,a,i,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=a,this.colorBuffer=i,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var a=t.gl,i=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=i[2]-i[0],c=i[3]-i[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-i[0])/l-1,u[7]=2*(r[1]-i[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,n)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,a=this.pickShader,i=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=i[2]-i[0],u=i[3]-i[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(i[0]-l[0])/h-1,t[7]=2*(i[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,a.bind();var d=a.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=a.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,a=this.shape[0]*this.shape[1];if(r<n||r>=n+a)return null;var i=r-n,o=this.xData,s=this.yData;return{object:this,pointId:i,dataCoord:[o[i%this.shape[0]],s[i/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||a(e[0]),o=t.y||a(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,h,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],h=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,h=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(h-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(f.length>>>1);this.numVertices=w;for(var T=i.mallocUint8(4*w),k=i.mallocFloat32(2*w),M=i.mallocUint8(2*w),A=i.mallocUint32(w),S=0,E=l?b-1:b,C=l?_-1:_,L=0;L<C;++L){var P,I;l?(P=x*(o[L]-u),I=x*(o[L+1]-u)):(P=L<_-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),I=L<_-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=y*(r[z]-c),D=y*(r[z+1]-c)):(O=z<b-1?y*(r[z]-(r[z+1]-r[z])/2-c):y*(r[z]-(r[z]-r[z-1])/2-c),D=z<b-1?y*(r[z]+(r[z+1]-r[z])/2-c):y*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<f.length;R+=2){var F,B,N,j,U=f[R],V=f[R+1],q=s[l?(L+V)*b+(z+U):L*b+z],H=n.le(d,q);if(H<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(H===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Y=1-G,W=4*H,Z=4*(H+1);F=Y*g[W]+G*g[Z],B=Y*g[W+1]+G*g[Z+1],N=Y*g[W+2]+G*g[Z+2],j=Y*g[W+3]+G*g[Z+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*O+.5*D,k[2*S+1]=.5*P+.5*I,M[2*S]=U,M[2*S+1]=V,A[S]=L*b+z,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(M),this.colorBuffer.update(T),this.idBuffer.update(A),i.free(k),i.free(T),i.free(M),i.free(A)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":269,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312,\"iota-array\":437,\"typedarray-pool\":567}],269:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:413}],270:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return a(t,i,o,null,l)},r.createPickShader=function(t){return a(t,i,s,null,l)}},{\"gl-shader\":312,glslify:413}],271:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=a(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=i(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),h=u.createShader,f=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var a=t[n]-e[n];r+=a*a}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,a,i){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=a,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=i,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var 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t[0]=1-(p+g),t[1]=h+y,t[2]=f-v,t[3]=0,t[4]=h-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],277:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],278:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=e[9],f=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-a*o,b=r*c-i*o,_=n*l-a*s,w=n*c-i*s,T=a*c-i*l,k=u*g-h*d,M=u*m-f*d,A=u*v-p*d,S=h*m-f*g,E=h*v-p*g,C=f*v-p*m,L=y*C-x*E+b*S+_*A-w*M+T*k;if(!L)return null;return L=1/L,t[0]=(s*C-l*E+c*S)*L,t[1]=(a*E-n*C-i*S)*L,t[2]=(g*T-m*w+v*_)*L,t[3]=(f*w-h*T-p*_)*L,t[4]=(l*A-o*C-c*M)*L,t[5]=(r*C-a*A+i*M)*L,t[6]=(m*b-d*T-v*x)*L,t[7]=(u*T-f*b+p*x)*L,t[8]=(o*E-s*A+c*k)*L,t[9]=(n*A-r*E-i*k)*L,t[10]=(d*w-g*b+v*y)*L,t[11]=(h*b-u*w-p*y)*L,t[12]=(s*M-o*S-l*k)*L,t[13]=(r*S-n*M+a*k)*L,t[14]=(g*x-d*_-m*y)*L,t[15]=(u*_-h*x+f*y)*L,t}},{}],279:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,a){var i,o,s,l,c,u,h,f,p,d,g=e[0],m=e[1],v=e[2],y=a[0],x=a[1],b=a[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);h=g-_,f=m-w,p=v-T,d=1/Math.sqrt(h*h+f*f+p*p),i=x*(p*=d)-b*(f*=d),o=b*(h*=d)-y*p,s=y*f-x*h,(d=Math.sqrt(i*i+o*o+s*s))?(i*=d=1/d,o*=d,s*=d):(i=0,o=0,s=0);l=f*s-p*o,c=p*i-h*s,u=h*o-f*i,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=i,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=c,t[6]=f,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(i*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(h*g+f*m+p*v),t[15]=1,t}},{\"./identity\":277}],280:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*h+w*g,t[1]=x*a+b*l+_*f+w*m,t[2]=x*i+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*h+w*g,t[5]=x*a+b*l+_*f+w*m,t[6]=x*i+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*h+w*g,t[9]=x*a+b*l+_*f+w*m,t[10]=x*i+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*h+w*g,t[13]=x*a+b*l+_*f+w*m,t[14]=x*i+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],281:[function(t,e,r){e.exports=function(t,e,r,n,a,i,o){var s=1/(e-r),l=1/(n-a),c=1/(i-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(a+n)*l,t[14]=(o+i)*c,t[15]=1,t}},{}],282:[function(t,e,r){e.exports=function(t,e,r,n,a){var i=1/Math.tan(e/2),o=1/(n-a);return t[0]=i/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=i,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(a+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*a*n*o,t[15]=0,t}},{}],283:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E=n[0],C=n[1],L=n[2],P=Math.sqrt(E*E+C*C+L*L);if(Math.abs(P)<1e-6)return null;E*=P=1/P,C*=P,L*=P,a=Math.sin(r),i=Math.cos(r),o=1-i,s=e[0],l=e[1],c=e[2],u=e[3],h=e[4],f=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+i,b=C*E*o+L*a,_=L*E*o-C*a,w=E*C*o-L*a,T=C*C*o+i,k=L*C*o+E*a,M=E*L*o+C*a,A=C*L*o-E*a,S=L*L*o+i,t[0]=s*x+h*b+g*_,t[1]=l*x+f*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+h*T+g*k,t[5]=l*w+f*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*M+h*A+g*S,t[9]=l*M+f*A+m*S,t[10]=c*M+p*A+v*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],284:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=i*a+c*n,t[5]=o*a+u*n,t[6]=s*a+h*n,t[7]=l*a+f*n,t[8]=c*a-i*n,t[9]=u*a-o*n,t[10]=h*a-s*n,t[11]=f*a-l*n,t}},{}],285:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a-c*n,t[1]=o*a-u*n,t[2]=s*a-h*n,t[3]=l*a-f*n,t[8]=i*n+c*a,t[9]=o*n+u*a,t[10]=s*n+h*a,t[11]=l*n+f*a,t}},{}],286:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a+c*n,t[1]=o*a+u*n,t[2]=s*a+h*n,t[3]=l*a+f*n,t[4]=c*a-i*n,t[5]=u*a-o*n,t[6]=h*a-s*n,t[7]=f*a-l*n,t}},{}],287:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],a=r[1],i=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*a,t[5]=e[5]*a,t[6]=e[6]*a,t[7]=e[7]*a,t[8]=e[8]*i,t[9]=e[9]*i,t[10]=e[10]*i,t[11]=e[11]*i,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],288:[function(t,e,r){e.exports=function(t,e,r){var n,a,i,o,s,l,c,u,h,f,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],t[0]=n,t[1]=a,t[2]=i,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*g+s*m+h*v+e[12],t[13]=a*g+l*m+f*v+e[13],t[14]=i*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],289:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],a=e[3],i=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=i,t[11]=e[14],t[12]=a,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],290:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),a=t(\"polytope-closest-point/lib/closest_point_2d.js\");function i(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var a=0;a<4;++a)r[a]+=t[4*n+a]*e[n];return r}function o(t,e,r,n,a){for(var o=i(n,i(r,i(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var a=t[n],i=e[n],o=0;o<3;++o)r[o]+=i*a[o];return r}e.exports=function(t,e,r,i,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),h=0;h<t.length;++h)u[h]=o(t[h],r,i,l,c);var f=0,p=1/0;for(h=0;h<u.length;++h){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[h][g]-e[g],2);d<p&&(p=d,f=h)}var m=function(t,e){if(2===t.length){for(var r=0,i=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),i+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),i=Math.sqrt(i),r+i<1e-6?[1,0]:[i/(r+i),r/(i+r)]}if(3===t.length){var s=[0,0];return a(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(h=0;h<3;++h){if(m[h]<-.001||m[h]>1.0001)return null;v+=m[h]}if(Math.abs(v-1)>.001)return null;return[f,s(t,m),m]}},{barycentric:78,\"polytope-closest-point/lib/closest_point_2d.js\":499}],291:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:413}],292:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),h=t(\"colormap\"),f=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,m,v,y,x,b,_,T,k,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=a,this.pickShader=i,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function L(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,a=e.vertexWeights,i=r.length,o=p.mallocFloat32(6*i),s=0,l=0;l<i;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],m=a[h],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),a=0;a<256;++a){for(var i=r[a],o=0;o<3;++o)n[4*a+o]=i[o];n[4*a+3]=e?255*M(a/255,e):255*i[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var a=[],i=[],l=[],c=[],f=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,A)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!I)if(P)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];O=Math.min(O,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];O=Math.min(O,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];O=Math.min(O,F),D=Math.max(D,F)}this.intensity=P||(z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?y.push(Z[0],Z[1],Z[2],this.opacity):(y.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(X[0],X[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),Z=S?S[W]:E?E[R]:C,this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?d.push(Z[0],Z[1],Z[2],this.opacity):(d.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],g.push(X[0],X[1]),m.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,Z,X,J;j=n[W=G[2-U]];a.push(j[0],j[1],j[2]),(Z=S?S[W]:E?E[R]:C)?this.opacityscale&&P?i.push(Z[0],Z[1],Z[2],this.opacity*M((P[W]-O)/(D-O),this.opacityscale)):3===Z.length?i.push(Z[0],Z[1],Z[2],this.opacity):(i.push(Z[0],Z[1],Z[2],Z[3]*this.opacity),Z[3]<1&&(this.hasAlpha=!0)):i.push(.5,.5,.5,1),X=L?L[W]:P?[(P[W]-O)/(D-O),0]:I?I[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(X[0],X[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),f.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(a),this.triangleColors.update(i),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:a,inverseModel:w.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:a,clipBounds:i,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,a=new Array(r.length),i=0;i<r.length;++i)a[i]=n[r[i]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=g(a,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(i=0;i<r.length;++i)d+=p[i]*this.intensity[r[i]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=A(t),s=S(t),l=E(t),c=C(t),h=L(t),f=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=a(t),g=a(t),m=a(t),v=a(t),y=a(t),x=i(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=a(t),_=a(t),w=a(t),k=a(t),M=i(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=a(t),z=a(t),O=a(t),D=a(t),R=a(t),F=i(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=a(t),N=i(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,h,f,d,y,g,m,v,x,b,k,_,w,M,I,R,z,O,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":290,\"./lib/shaders\":291,colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-shader\":312,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469,normals:472,\"simplicial-complex-contour\":528,\"typedarray-pool\":567}],293:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=a(e,i.boxVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,a){var i=this.plot,o=this.shader,c=i.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"gl-buffer\":258,\"gl-shader\":312}],294:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,o.gridVert,o.gridFrag),l=a(e,o.tickVert,o.gridFrag);return new s(t,r,i,l)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,a=t.gl,i=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=i[g],v=i[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&a.drawArrays(a.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*k/A,t[w]=2*(T-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,P=6*h[0].length,I=Math.min(i.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(i.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),O=0+6*I,D=6*Math.max(0,z-I),R=Math.min(i.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(i.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=P+6*R,N=6*Math.max(0,F-R);a[0]=2*(g[0]-E[1])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=C[1]*m/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[1]-E[0])/x-1,o[0]=C[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D)),a[0]=2*(g[2]+E[3])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=C[3]*m/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[3]+E[2])/x-1,o[0]=C[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,O,D))}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),a=(this.plot.zeroLineEnable,0),i=[[],[]],o=0;o<2;++o)for(var s=i[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[a++]=d,n[a++]=f[g],n[a++]=p[g]}this.ticks=i,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":296,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312}],295:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=a(e,i.lineVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,a,i){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=a*o.pixelRatio,c.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"gl-buffer\":258,\"gl-shader\":312}],296:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:a,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:a,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:a,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:413}],297:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,s.textVert,s.textFrag);return new l(t,r,i)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],a=this.tickOffset[t],i=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var A=2/f[2+(1^t)]-f[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t]&&T&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],i.drawArrays(i.TRIANGLES,w,T)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],k<M&&a[M]>a[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],i.drawArrays(i.TRIANGLES,a[k],a[M]-a[k]))),y[t+2]&&T&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],i.drawArrays(i.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,a=r.gl,i=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-i[u])/(i[2+u]-i[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,a.drawArrays(a.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,a=t.screenBox,i=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=i[o],g=i[o+2]-h,m=a[o],v=a[o+2]-m;p[o]=2*l/u*g/v,f[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(a[3]-a[1]),d[0]=d[1]*(a[3]-a[1])/(a[2]-a[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,a,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";a=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=i(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*a,-n[r+1]*a-b*a*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=i(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,a=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=i(t.titleFont,t.title).data,a=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":296,\"binary-search-bounds\":96,\"gl-buffer\":258,\"gl-shader\":312,\"text-cache\":547}],298:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=a(c),c.text=i(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),a=t(\"./lib/grid\"),i=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,a=this.pixelRatio,i=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),i.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*a,r[0],r[3]+.5*v[3]*a,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*a,r[1],r[2]+.5*v[2]*a,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*a,r[2],r[3]+.5*v[3]*a,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*a,r[3],r[2]+.5*v[2]*a,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,a=this.viewBox,i=0|Math.round((t-a[0]/r)*n),o=0|Math.round((e-a[1]/r)*n),s=this.pickBuffer.query(i,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(i,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,a=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/a,10,10/a]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var i=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=i[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:i}),this.text.update({bounds:o,ticks:i,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":293,\"./lib/grid\":294,\"./lib/line\":295,\"./lib/text\":297,\"gl-select-static\":311}],299:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,a=e-2*r;c.idle(e-r),c.recalcMatrix(a),c.flush(e-(100+2*r));for(var i=!0,o=c.computedMatrix,s=0;s<16;++s)i=i&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,i?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),a=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var i=n();c._active.lookAt(i,r,a,e),c._active.lookAt(i+500,r,a,[0,0,1]),c._active.flush(i)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,a,i){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!i.control,p=!!i.alt,g=!!i.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(a-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!f&&!p&&!g||m&&!f&&!p&&g)&&c.rotate(M,w*k*b,-T*k*_,0),(l&&m&&!f&&!p&&!g||v||m&&f&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&m&&!f&&!p&&!g||y||m&&!f&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,h*(Math.exp(A)-1))}return d._lastX=r,d._lastY=a,d._lastMods=i,!0}}d.mouseListener=i(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods),t.preventDefault()}),!!l&&{passive:!1}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,a=d.flipY?1:-1,i=n();if(Math.abs(t)>Math.abs(e))c.rotate(i,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*a*e/window.innerHeight*(i-c.lastT())/20;c.pan(i,0,0,h*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),a=t(\"3d-view\"),i=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":54,\"has-passive-events\":415,\"mouse-change\":457,\"mouse-event-offset\":458,\"mouse-wheel\":460,\"right-now\":514}],300:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":312,glslify:413}],301:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),a=t(\"gl-axes3d\"),i=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),h=t(\"gl-mat4/perspective\"),f=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},M=a(r,k);M.enable=!k.disable;var A=t.spikes||{},S=o(r,A),E=[],C=[],L=[],P=[],I=!0,z=!0,O=new Array(16),D=new Array(16),R={view:null,projection:O,model:D,_ortho:!1},F=(z=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:M,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,z=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var a=0|Math.ceil(r*N.pixelRatio),i=0|Math.ceil(n*N.pixelRatio);if(a!==e.width||i!==e.height){e.width=a,e.height=i;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var a=E[n],i=a.pickSlots;if(i){for(var o=0;o<e;++o)if(L[o]+i<255){C[n]=o,a.setPickBase(L[o]+1),L[o]+=i;continue t}var l=s(r,F);C[n]=e,P.push(l),L.push(i),a.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),P.pop().dispose()}function q(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,z=!0)},N.add=function(t){N._stopped||(t.axes=M,E.push(t),C.push(-1),I=!0,z=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),I=!0,z=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",q),N.mouseListener.enabled=!1,!N.contextLost)){M.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,M=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,a=E.length,i=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(z=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<a;++c){var u=E[c];if(C[c]===s){var h=u.pick(l);h&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=h.distance,x.dataPosition=h.position,x.dataCoordinate=h.dataCoordinate,x.data=h,o=!0)}}}}}i&&i!==x.object&&(i.highlight&&i.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==i)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",q);var H=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[H[0].slice(),H[1].slice()];function Y(){if(!q()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,z=z||t,M.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=H[0],a=H[1];n[0]=n[1]=n[2]=1/0,a[0]=a[1]=a[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=N.pixelRatio,L.axes=N.axes,I=I||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),a[p]=Math.max(a[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(a[p]<n[p])n[p]=-1,a[p]=1;else{n[p]===a[p]&&(n[p]-=1,a[p]+=1);var g=.05*(a[p]-n[p]);n[p]=n[p]-g,a[p]=a[p]+g}d[0][p]=n[p],d[1][p]=a[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(z=z||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);M.autoTicks?M.update({bounds:d,tickSpacing:y}):M.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,a=n.projection,i=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(a,-p,p,-1,1,l,c),n._ortho=!0):(h(a,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)i[d]=0;i[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?i[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):i[5*d]=1/g,t.autoCenter&&(i[12+d]=.5*-i[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(L=E[o]).axesBounds=d,N.clipToBounds&&(L.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!1,function(){if(!q()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var a=P[n];a.shape=j,a.begin();for(var i=0;i<t;++i)if(C[i]===n){var o=E[i];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}a.end()}}}()),N.axesPixels=i(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var A=!1;M.enable&&(A=A||M.isTransparent(),M.draw(R)),S.axes=M,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(L=E[o]).axes=M,L.pixelRatio=N.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(R),L.isTransparent&&L.isTransparent()&&(A=!0)}if(A){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),M.enable&&M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":299,\"./lib/shader\":300,\"a-big-triangle\":64,\"gl-axes3d\":250,\"gl-axes3d/properties\":257,\"gl-fbo\":266,\"gl-mat4/ortho\":281,\"gl-mat4/perspective\":282,\"gl-select-static\":311,\"gl-spikes3d\":321,\"is-mobile\":441,\"mouse-change\":457}],302:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:413}],303:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=a,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,i=a(r),l=a(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,i,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,a=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=a?s:i.mallocFloat32(s.length),c=o?t.idToIndex:i.mallocInt32(n);if(a||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),a||i.free(l),o||i.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,a=this.plot.dataBox;if(0===this.pointCount)return t;var i=a[2]-a[0],o=a[3]-a[1],s=function(t,e){var r,n=0,a=t.length>>>1;for(r=0;r<a;r++){var i=t[2*r],o=t[2*r+1];i>=e[0]&&i<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,a),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/i,l[4]=2/o,l[6]=-2*a[0]/i-1,l[7]=-2*a[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,a=this.pointCount;if(r<n||r>=n+a)return null;var i=r-n,o=this.points;return{object:this,pointId:i,dataCoord:[o[2*i],o[2*i+1]]}}},{\"./lib/shader\":302,\"gl-buffer\":258,\"gl-shader\":312,\"typedarray-pool\":567}],304:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(i=c*p+u*d+h*g+f*m)<0&&(i=-i,p=-p,d=-d,g=-g,m=-m);1-i>1e-6?(a=Math.acos(i),o=Math.sin(a),s=Math.sin((1-n)*a)/o,l=Math.sin(n*a)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*m,t}},{}],305:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],306:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var i=a[e];i||(i=a[e]={});if(t in i)return i[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return i[t]=[s,u,h]};var a={}},{\"vectorize-text\":572}],307:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:i,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:i,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),a=r.attributes;return a.position.location=0,a.color.location=1,a.glyph.location=2,a.id.location=3,r}r.createPerspective=function(t){return v(t,h)},r.createOrtho=function(t){return v(t,f)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":312,glslify:413}],308:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e){var r=t[0],n=t[1],a=t[2],i=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*a+e[12]*i,t[1]=e[1]*r+e[5]*n+e[9]*a+e[13]*i,t[2]=e[2]*r+e[6]*n+e[10]*a+e[14]*i,t[3]=e[3]*r+e[7]*n+e[11]*a+e[15]*i,t}function p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,a,i,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=a,this.colorBuffer=i,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=a(e),f=a(e),p=a(e),d=a(e),g=i(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,h,f,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=h.slice(),k=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function C(t,e,r,n){var a,i=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,d=e.axesBounds,g=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);a=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(i[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,C=0;C<16;++C)v[C]=0;for(C=0;C<4;++C)v[5*C]=1;v[5*m]=0,a[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var L=(m+1)%3,P=(m+2)%3,I=A(x),z=A(b);I[L]=1,z[P]=1;var O=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=I,I=z,z=R;var F=L;L=P,P=F}O[0]<0&&(I[L]=-1),D[1]>0&&(z[P]=-1);var B=0,N=0;for(C=0;C<4;++C)B+=Math.pow(c[4*L+C],2),N+=Math.pow(c[4*P+C],2);I[L]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=z,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,a,i,o){var s=r.gl;if((i===r.projectHasAlpha||o)&&C(e,r,n,a),i===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=L,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=a,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*a),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,a){var i;i=Array.isArray(t)?e<t.length?t[e]:void 0:t,i=u(i);var o=!0;n(i)&&(i=\"\\u25bc\",o=!1);var s=c(i,r,a);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var a=0;a<3;++a)n.position[a]=n.dataCoordinate[a]=r[a];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,a=e>>16&255;this.highlightId=[r/255,n/255,a/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var a,i,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)a=c[0],i=c[1];else{a=[],i=[];for(n=0;n<c.length;++n)a[n]=c[n][0],i[n]=c[n][1]}var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*k.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),C=o.mallocFloat(4*S),L=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,O=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var q=0;Array.isArray(m)?q=n<m.length?+m[n]:0:m&&(q=+m);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],T=0;T<3;++T)h[T]=Math.max(h[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=a,W=i;Y=0;Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);W=0;Array.isArray(i)?W=n<i.length?i[n]:0:i&&(W=i);var Z=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)C[4*z+$]=D[$];P[z]=y;var tt=J[K[Q]];L[2*z]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*z+1]=V*(G*tt[0]+H*tt[1]+Z[1]),z+=1}for(X=M.edges,J=M.positions,T=0;T<X.length;++T)for(K=X[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)C[4*O+$]=R[$];P[O]=y;tt=J[K[Q]];L[2*O]=V*(H*tt[0]-G*tt[1]+Z[0]),L[2*O+1]=V*(G*tt[0]+H*tt[1]+Z[1]),O+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(C),this.glyphBuffer.update(L),this.idBuffer.update(P),o.free(E),o.free(C),o.free(L),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":305,\"./lib/glyphs\":306,\"./lib/shaders\":307,\"gl-buffer\":258,\"gl-mat4/multiply\":280,\"gl-vao\":332,\"is-string-blank\":444,\"typedarray-pool\":567}],309:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:413}],310:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=a(r,[0,0,0,1,1,0,1,1]),l=n(r,i.boxVertex,i.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),a=(this.outerFill,this.outerColor),i=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,a),o.drawBox(0,f,h,d,a),o.drawBox(0,d,g,m,a),o.drawBox(p,f,g,d,a)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var v=r*u;o.drawBox(h-v,f-v,p+v,f+v,i),o.drawBox(h-v,d-v,p+v,d+v,i),o.drawBox(h-v,f-v,h+v,d+v,i),o.drawBox(p-v,f-v,p+v,d+v,i)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":309,\"gl-buffer\":258,\"gl-shader\":312}],311:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],i=e[1],o=n(t,r,i,{}),s=a.mallocUint8(r*i*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),a=t(\"typedarray-pool\"),i=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,a){this.coord=[t,e],this.id=r,this.value=n,this.distance=a}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){a.free(this.buffer);for(var n=this.buffer=a.mallocUint8(o(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=a||c<=l)return null;var u=[o-a,c-l],h=i(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(a+n[0]*l)),f=function(t,e,r){for(var n=1e8,a=-1,i=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),h=t.get(l,c,1),f=t.get(l,c,2),p=t.get(l,c,3);if(u<255||h<255||f<255||p<255){var d=e-l,g=r-c,m=d*d+g*g;m<n&&(n=m,a=l,i=c)}}return[a,i,n]}(h.hi(u[0],u[1],1),r,r),p=f[0],d=f[1];return p<0||Math.pow(this.radius,2)<f[2]?null:new s(p+a|0,d+l|0,h.get(p,d,0),[h.get(p,d,1),h.get(p,d,2),h.get(p,d,3)],Math.sqrt(f[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),a.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":97,\"gl-fbo\":266,ndarray:469,\"typedarray-pool\":567}],312:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),a=t(\"./lib/create-attributes\"),i=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function h(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),M=0;M<T;++M)k[M]=_.length,b.push(w.name+\"[\"+M+\"]\"),\"number\"==typeof w.location?_.push(w.location+M):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[M]?_.push(0|w.location[M]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var A=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(A)>=0;)A+=1;_[y]=A}var S=new Array(r.length);function E(){f.program=o.program(p,f._vref,f._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(f.program,r[t].name)}E(),f._relink=E,f.types={uniforms:i(r),attributes:i(c)},f.attributes=a(p,f,x,_),Object.defineProperty(f,\"uniforms\",n(p,f,r,S))},e.exports=function(t,e,r,n,a){var i=new c(t);return 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o=t.getActiveAttrib(e,a);o&&n.push({name:o.name,type:i(t,o.type)})}return n};var n={FLOAT:\"float\",FLOAT_VEC2:\"vec2\",FLOAT_VEC3:\"vec3\",FLOAT_VEC4:\"vec4\",INT:\"int\",INT_VEC2:\"ivec2\",INT_VEC3:\"ivec3\",INT_VEC4:\"ivec4\",BOOL:\"bool\",BOOL_VEC2:\"bvec2\",BOOL_VEC3:\"bvec3\",BOOL_VEC4:\"bvec4\",FLOAT_MAT2:\"mat2\",FLOAT_MAT3:\"mat3\",FLOAT_MAT4:\"mat4\",SAMPLER_2D:\"sampler2D\",SAMPLER_CUBE:\"samplerCube\"},a=null;function i(t,e){if(!a){var r=Object.keys(n);a={};for(var i=0;i<r.length;++i){var o=r[i];a[t[o]]=n[o]}}return a[e]}},{}],318:[function(t,e,r){\"use strict\";r.shader=function(t,e,r){return u(t).getShaderReference(e,r)},r.program=function(t,e,r,n,a){return u(t).getProgram(e,r,n,a)};var n=t(\"./GLError\"),a=t(\"gl-format-compiler-error\"),i=new(\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap),o=0;function s(t,e,r,n,a,i,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=i,this.programs=[],this.cache=o}function 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n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:413}],323:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),a=t(\"gl-vec4\"),i=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,i){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,i){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],g=0,m=0,v=a.create(),y=a.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/i,v=a.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(f.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(f[T],p[T],p[k],p[k],f[k],f[T]),h.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=f;f=p,p=A;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,i,o)})),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=h.length;h=h.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];f.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var a=t[r];if(a===e)return r;if(a>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var a=Math.abs(t[n]-t[n-1]);a<e&&(e=a)}return e};e.exports=function(t,e){var r=t.startingPositions,a=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=i.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var a=e.vectors,i=e.meshgrid,o=t[0],c=t[1],u=t[2],h=i[0].length,f=i[1].length,p=i[2].length,d=s(i[0],o),g=s(i[1],c),m=s(i[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,h-1),v=l(v,0,h-1),g=l(g,0,f-1),y=l(y,0,f-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>h-1||y>f-1||x>p-1)return n.create();var b,_,w,T,k,M,A=i[0][d],S=i[0][v],E=i[1][g],C=i[1][y],L=i[2][m],P=(o-A)/(S-A),I=(c-E)/(C-E),z=(u-L)/(i[2][x]-L);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,v=h-1-v),r.reversedY&&(g=f-1-g,y=f-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,M=x,w=g*p,T=y*p,b=d*p*f,_=v*p*f;break;case 4:k=m,M=x,b=d*p,_=v*p,w=g*p*h,T=y*p*h;break;case 3:w=g,T=y,k=m*f,M=x*f,b=d*f*p,_=v*f*p;break;case 2:w=g,T=y,b=d*f,_=v*f,k=m*f*h,M=x*f*h;break;case 1:b=d,_=v,k=m*h,M=x*h,w=g*h*p,T=y*h*p;break;default:b=d,_=v,w=g*h,T=y*h,k=m*h*f,M=x*h*f}var O=a[b+w+k],D=a[b+w+M],R=a[b+T+k],F=a[b+T+M],B=a[_+w+k],N=a[_+w+M],j=a[_+T+k],U=a[_+T+M],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,H,I),n.lerp(W,q,G,I);var Z=n.create();return n.lerp(Z,Y,W,z),Z}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),a=1e-4;n.add(r,t,[a,0,0]);var i=d(r);n.subtract(i,i,e),n.scale(i,i,1/a),n.add(r,t,[0,a,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/a),n.add(r,t,[0,0,a]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/a),n.add(r,i,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/a,M=k*k,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],a={},i={},o={},s=t.length,l=0;l<s;l++){var u=t[l],h=u[0],f=u[1],p=u[2];a[h]||(e.push(h),a[h]=!0),i[f]||(r.push(f),i[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var P=[L],I=[],z=d(L),O=L;I.push(z);var D=[],R=g(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*a&&P.length<a&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-M>-1e-4*M){P.push(N),O=N,I.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}L=N}}var U=o(m,t.colormap,S,A);return h?U.tubeScale=h:(0===S&&(S=1),U.tubeScale=.5*u*A/S),U};var u=t(\"./lib/shaders\"),h=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return h(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":322,\"gl-cone3d\":259,\"gl-vec3\":351,\"gl-vec4\":387}],324:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,i,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":312,glslify:413}],325:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=a(e),u=i(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),h=a(e),f=i(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=a(e),d=i(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new A(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),h=t(\"ndarray\"),f=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,a){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=a}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function A(t,e,r,n,a,i,o,l,c,u,f,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=a,this._coordinateBuffer=i,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=A.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var a=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return a<1&&(r=!0),[t[0],t[1],t[2],255*a]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],C={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function L(t,e){var r,n,a,i=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=C.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(i[r]>0)][r],p(l,t.model,l);var c=C.clipBounds[r];for(a=0;a<2;++a)for(n=0;n<3;++n)c[a][n]=t.clipBounds[a][n];c[0][r]=-1e8,c[1][r]=1e8}return C.showSurface=o,C.showContour=s,C}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),z=[1,0,0,0,1,0,0,0,1];function O(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var a=0;a<2;++a)for(var i=n.clipBounds[a],o=0;o<3;++o)i[o]=Math.min(Math.max(this.clipBounds[a][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),a=0;a<3;++a)n.eyePosition[a]=s[12+a]/s[15];var l=s[15];for(a=0;a<3;++a)l+=this.lightPosition[a]*s[4*a+3];for(a=0;a<3;++a){var c=s[12+a];for(o=0;o<3;++o)c+=s[4*o+a]*this.lightPosition[o];n.lightPosition[a]=c/l}var u=L(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),a=0;a<3;++a)this.surfaceProject[a]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[a],this._shader.uniforms.clipBounds=u.clipBounds[a],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),a=0;a<3;++a)for(h.uniforms.permutation=k[a],r.lineWidth(this.contourWidth[a]*this.pixelRatio),o=0;o<this.contourLevels[a].length;++o)o===this.highlightLevel[a]?(h.uniforms.contourColor=this.highlightColor[a],h.uniforms.contourTint=this.highlightTint[a]):0!==o&&o-1!==this.highlightLevel[a]||(h.uniforms.contourColor=this.contourColor[a],h.uniforms.contourTint=this.contourTint[a]),this._contourCounts[a][o]&&(h.uniforms.height=this.contourLevels[a][o],f.draw(r.LINES,this._contourCounts[a][o],this._contourOffsets[a][o]));for(a=0;a<3;++a)for(h.uniforms.model=u.projections[a],h.uniforms.clipBounds=u.clipBounds[a],o=0;o<3;++o)if(this.contourProject[a][o]){h.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),a=0;a<3;++a)if(0!==this._dynamicCounts[a])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=k[a],r.lineWidth(this.dynamicWidth[a]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[a],h.uniforms.contourTint=this.dynamicTint[a],h.uniforms.height=this.dynamicLevel[a],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]),o=0;o<3;++o)this.contourProject[o][a]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]));f.unbind()}}S.draw=function(t){return O.call(this,t,!1)},S.drawTransparent=function(t){return O.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var a=r.clipBounds[n],i=0;i<3;++i)a[i]=Math.min(Math.max(this.clipBounds[n][i],-1e8),1e8);var o=L(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),i=0;i<3;++i)for(e.lineWidth(this.contourWidth[i]*this.pixelRatio),s.uniforms.permutation=k[i],n=0;n<this.contourLevels[i].length;++n)this._contourCounts[i][n]&&(s.uniforms.height=this.contourLevels[i][n],l.draw(e.LINES,this._contourCounts[i][n],this._contourOffsets[i][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],i=0;i<3;++i)if(this.contourProject[n][i]){s.uniforms.permutation=k[i],e.lineWidth(this.contourWidth[i]*this.pixelRatio);for(var c=0;c<this.contourLevels[i].length;++c)this._contourCounts[i][c]&&(s.uniforms.height=this.contourLevels[i][c],l.draw(e.LINES,this._contourCounts[i][c],this._contourOffsets[i][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,a=Math.floor(n),i=n-a,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;a+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?i:1-i,f=0;f<2;++f)for(var p=a+u,d=s+f,m=h*(f?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=i<.5?a:a+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var a=(e.shape[0]+2)*(e.shape[1]+2);a>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(a))),this._field[2]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var i=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==i[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=h(p)),p.shape[0]!==i[o])throw new Error(\"gl-surface: invalid tick length\");var d=h(p.data,i);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2],g,0)}this._field[0].set(0,0,0);for(var v=0;v<i[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(i[0]+1,0,i[0]-1),this._field[1].set(0,0,0),v=0;v<i[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,i[1]+1,i[1]-1)}var y=this._field,x=h(s.mallocFloat(3*y[2].size*2),[3,i[0]+2,i[1]+2,2]);for(o=0;o<3;++o)m(x.pick(o),y[o],\"mirror\");var b=h(s.mallocFloat(3*y[2].size),[i[0]+2,i[1]+2,3]);for(o=0;o<i[0]+2;++o)for(v=0;v<i[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),M=x.get(1,o,v,1),A=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-M*A,C=A*w-S*_,L=_*M-w*k,P=Math.sqrt(E*E+C*C+L*L);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(C),Math.abs(L)))<1e-8?(L=1,C=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,C*P),b.set(o,v,2,L*P)}s.free(x.data);var I=[1/0,1/0,1/0],z=[-1/0,-1/0,-1/0],O=1/0,D=-1/0,F=(i[0]-1)*(i[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<i[0]-1;++o)t:for(v=0;v<i[1]-1;++v){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+v+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var Y=o+T[H][0],W=v+T[H][1],Z=this._field[0].get(Y+1,W+1),X=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),C=b.get(Y+1,W+1,1),L=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=Z,N[j++]=X,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=C,N[j++]=L,I[0]=Math.min(I[0],Z+this.objectOffset[0]),I[1]=Math.min(I[1],X+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),O=Math.min(O,J),z[0]=Math.max(z[0],Z+this.objectOffset[0]),z[1]=Math.max(z[1],X+this.objectOffset[1]),z[2]=Math.max(z[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(O=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-O)/(D-O);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,z],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===O&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[O,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,i=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var at=f(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<at.cells.length;++v){var it=at.cells[v];for(H=0;H<2;++H){var ot=at.positions[it[H]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ht=0|Math.floor(ut),ft=ut-ht,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var gt=($+dt+1)%3;for(V=0;V<2;++V){var mt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),i[0]),q=0;q<2;++q){var vt=q?ft:1-ft;if(W=0|Math.min(Math.max(ht+q,0),i[1]),G=dt<2?this._field[gt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=mt*vt;nt[dt]+=yt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,a=this.shape,i=s.mallocFloat(12*a[0]*a[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,a[0]),T=b-_,k=1-T,M=+x[1],A=0|M,S=0|Math.min(A+1,a[1]),E=M-A,C=1-E,L=k*C,P=k*E,I=T*C,z=T*E,O=L*h.get(_,A)+P*h.get(_,S)+I*h.get(w,A)+z*h.get(w,S),D=L*p.get(_,A)+P*p.get(_,S)+I*p.get(w,A)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){y&&(n-=1);break}i[2*n+0]=O,i[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(i.subarray(0,2*n)),s.freeFloat(i)}}},{\"./lib/shaders\":324,\"binary-search-bounds\":96,\"bit-twiddle\":97,colormap:131,\"gl-buffer\":258,\"gl-mat4/invert\":278,\"gl-mat4/multiply\":280,\"gl-texture2d\":327,\"gl-vao\":332,ndarray:469,\"ndarray-gradient\":462,\"ndarray-ops\":464,\"ndarray-pack\":465,\"surface-nets\":542,\"typedarray-pool\":567}],326:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),a=t(\"pick-by-alias\"),i=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),h=t(\"parse-rect\"),f=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),m=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||i({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(T.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(T.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=a(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=h(t.viewport),T.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,i=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var a=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&a==e.font[r].baseString||(i=!0,e.font[r]=T.fonts[a],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:a,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[a]=e.font[r]}})),(i||o)&&this.font.forEach((function(r,a){var i=n.stringify({size:e.fontSize[a],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[a]=e.shader.atlas[i],!e.fontAtlas[a]){var o=r.metrics;e.shader.atlas[i]=e.fontAtlas[a]={fontString:i,step:2*Math.ceil(e.fontSize[a]*o.bottom*.5),em:e.fontSize[a],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||i){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var a=e.fontAtlas[n],i=0;i<e.text.length;i++){var o=e.text.charAt(i);if(null==a.ids[o]&&(a.ids[o]=a.chars.length,a.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)k[A++]=t.position[2*M],k[A++]=t.position[2*M+1];else for(var C=0;C<S;C++)k[A++]=t.position[M][0],k[A++]=t.position[M][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||i){var L=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,z=0;I<this.counts.length;I++){for(var O=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<O;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(L[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],U=P[2*z],V=P[2*z-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*z+1]=V}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:L,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(L),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],a=n.step,i=Math.floor(T.maxAtlasSize/a),o=Math.min(i,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*a),u=x(s*a);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[a,a]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,a=0;return a+=.5*n.bottom,a+=\"number\"==typeof t?t-n.baseline:-n[t],T.normalViewport||(a*=-1),a}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var Z=t.color.length;H=u.mallocUint8(4*Z);for(var X=0;X<Z;X++)H.set(l(t.color[X]||0,\"uint8\"),4*X)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.normalViewport=!1,T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":97,\"color-normalize\":125,\"css-font\":144,\"detect-kerning\":172,\"es6-weak-map\":233,\"flatten-vertex-data\":244,\"font-atlas\":245,\"font-measure\":246,\"gl-util/context\":328,\"is-plain-obj\":443,\"object-assign\":473,\"parse-rect\":478,\"parse-unit\":480,\"pick-by-alias\":485,regl:512,\"to-px\":550,\"typedarray-pool\":567}],327:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),a=t(\"ndarray-ops\"),i=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var h=function(t,e){a.muls(t,e,255)};function f(t,e,r){var n=t.gl,a=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,a,i){this.gl=t,this.handle=e,this.format=a,this.type=i,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,a){var i=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture shape\");if(a===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,a,null),new p(t,o,e,r,n,a)}function y(t,e,r,n,a,i){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,a,a,i,e),new p(t,o,r,n,a,i)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=g(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,f,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];f=i.malloc(v,r);var x=n(f,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?a.assign(x,e):h(x,e),u=f.subarray(0,v)}var b=m(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||i.free(f),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),d.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,u){var f=u.dtype,p=u.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var d=0,m=0,v=g(p,u.stride.slice());\"float32\"===f?d=t.FLOAT:\"float64\"===f?(d=t.FLOAT,v=!1,f=\"float32\"):\"uint8\"===f?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,v=!1,f=\"uint8\");if(2===p.length)m=t.LUMINANCE,p=[p[0],p[1],1],u=n(u.data,p,[u.stride[0],u.stride[1],1],u.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])m=t.ALPHA;else if(2===p[2])m=t.LUMINANCE_ALPHA;else if(3===p[2])m=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");m=t.RGBA}p[2]}m!==t.LUMINANCE&&m!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(m=s);if(m!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var 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n;try{n=s(r,i)}catch(e){t=e}e(t,n)}))},e.exports.types=Object.keys(i)}).call(this,t(\"buffer\").Buffer)},{\"./detector\":417,\"./types\":420,buffer:111,fs:109,path:481}],419:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){return r=r||0,t[\"readUInt\"+e+(n?\"BE\":\"LE\")].call(t,r)}},{}],420:[function(t,e,r){\"use strict\";var n={bmp:t(\"./types/bmp\"),cur:t(\"./types/cur\"),dds:t(\"./types/dds\"),gif:t(\"./types/gif\"),icns:t(\"./types/icns\"),ico:t(\"./types/ico\"),jpg:t(\"./types/jpg\"),png:t(\"./types/png\"),psd:t(\"./types/psd\"),svg:t(\"./types/svg\"),tiff:t(\"./types/tiff\"),webp:t(\"./types/webp\")};e.exports=n},{\"./types/bmp\":421,\"./types/cur\":422,\"./types/dds\":423,\"./types/gif\":424,\"./types/icns\":425,\"./types/ico\":426,\"./types/jpg\":427,\"./types/png\":428,\"./types/psd\":429,\"./types/svg\":430,\"./types/tiff\":431,\"./types/webp\":432}],421:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return\"BM\"===t.toString(\"ascii\",0,2)},calculate:function(t){return{width:t.readUInt32LE(18),height:Math.abs(t.readInt32LE(22))}}}},{}],422:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&2===t.readUInt16LE(2)},calculate:t(\"./ico\").calculate}},{\"./ico\":426}],423:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return 542327876===t.readUInt32LE(0)},calculate:function(t){return{height:t.readUInt32LE(12),width:t.readUInt32LE(16)}}}},{}],424:[function(t,e,r){\"use strict\";var n=/^GIF8[79]a/;e.exports={detect:function(t){var e=t.toString(\"ascii\",0,6);return n.test(e)},calculate:function(t){return{width:t.readUInt16LE(6),height:t.readUInt16LE(8)}}}},{}],425:[function(t,e,r){\"use strict\";var n={ICON:32,\"ICN#\":32,\"icm#\":16,icm4:16,icm8:16,\"ics#\":16,ics4:16,ics8:16,is32:16,s8mk:16,icp4:16,icl4:32,icl8:32,il32:32,l8mk:32,icp5:32,ic11:32,ich4:48,ich8:48,ih32:48,h8mk:48,icp6:64,ic12:32,it32:128,t8mk:128,ic07:128,ic08:256,ic13:256,ic09:512,ic14:512,ic10:1024};function a(t,e){var r=e+4;return[t.toString(\"ascii\",e,r),t.readUInt32BE(r)]}function i(t){var e=n[t];return{width:e,height:e,type:t}}e.exports={detect:function(t){return\"icns\"===t.toString(\"ascii\",0,4)},calculate:function(t){var e,r,n,o=t.length,s=8,l=t.readUInt32BE(4);if(r=i((e=a(t,s))[0]),(s+=e[1])===l)return r;for(n={width:r.width,height:r.height,images:[r]};s<l&&s<o;)r=i((e=a(t,s))[0]),s+=e[1],n.images.push(r);return n}}},{}],426:[function(t,e,r){\"use strict\";function n(t,e){var r=t.readUInt8(e);return 0===r?256:r}function a(t,e){var r=6+16*e;return{width:n(t,r),height:n(t,r+1)}}e.exports={detect:function(t){return 0===t.readUInt16LE(0)&&1===t.readUInt16LE(2)},calculate:function(t){var e,r=t.readUInt16LE(4),n=a(t,0);if(1===r)return n;for(n.images=[{width:n.width,height:n.height}],e=1;e<r;e+=1)n.images.push(a(t,e));return n}}},{}],427:[function(t,e,r){\"use strict\";var n=t(\"../readUInt\");function a(t){return\"45786966\"===t.toString(\"hex\",2,6)}function i(t,e){return{height:t.readUInt16BE(e),width:t.readUInt16BE(e+2)}}function o(t,e){var r=t.slice(2,e),a=r.toString(\"hex\",6,8),i=\"4d4d\"===a;if(i||\"4949\"===a)return function(t,e){for(var r,a,i=n(t,16,14,e),o=0;o<i;o++){if(a=(r=16+12*o)+12,r>t.length)return;var s=t.slice(r,a);if(274===n(s,16,0,e)){if(3!==n(s,16,2,e))return;if(1!==n(s,32,4,e))return;return n(s,16,8,e)}}}(r,i)}function s(t,e){if(e>t.length)throw new TypeError(\"Corrupt JPG, exceeded buffer limits\");if(255!==t[e])throw new TypeError(\"Invalid JPG, marker table corrupted\")}e.exports={detect:function(t){return\"ffd8\"===t.toString(\"hex\",0,2)},calculate:function(t){var e,r,n;for(t=t.slice(4);t.length;){if(r=t.readUInt16BE(0),a(t)&&(e=o(t,r)),s(t,r),192===(n=t[r+1])||193===n||194===n){var l=i(t,r+5);return e?{width:l.width,height:l.height,orientation:e}:l}t=t.slice(r+2)}throw new TypeError(\"Invalid JPG, no size found\")}}},{\"../readUInt\":419}],428:[function(t,e,r){\"use strict\";e.exports={detect:function(t){if(\"PNG\\r\\n\\x1a\\n\"===t.toString(\"ascii\",1,8)){var e=t.toString(\"ascii\",12,16);if(\"CgBI\"===e&&(e=t.toString(\"ascii\",28,32)),\"IHDR\"!==e)throw new TypeError(\"invalid png\");return!0}},calculate:function(t){return\"CgBI\"===t.toString(\"ascii\",12,16)?{width:t.readUInt32BE(32),height:t.readUInt32BE(36)}:{width:t.readUInt32BE(16),height:t.readUInt32BE(20)}}}},{}],429:[function(t,e,r){\"use strict\";e.exports={detect:function(t){return\"8BPS\"===t.toString(\"ascii\",0,4)},calculate:function(t){return{width:t.readUInt32BE(18),height:t.readUInt32BE(14)}}}},{}],430:[function(t,e,r){\"use strict\";var n=/<svg\\s([^>\"']|\"[^\"]*\"|'[^']*')*>/;var a={root:n,width:/\\swidth=(['\"])([^%]+?)\\1/,height:/\\sheight=(['\"])([^%]+?)\\1/,viewbox:/\\sviewBox=(['\"])(.+?)\\1/},i={cm:96/2.54,mm:96/2.54/10,m:96/2.54*100,pt:96/72,pc:96/72/12,em:16,ex:8};function o(t){var e=/([0-9.]+)([a-z]*)/.exec(t);if(e)return Math.round(parseFloat(e[1])*(i[e[2]]||1))}function s(t){var e=t.split(\" \");return{width:o(e[2]),height:o(e[3])}}e.exports={detect:function(t){return n.test(t)},calculate:function(t){var e=t.toString(\"utf8\").match(a.root);if(e){var r=function(t){var e=t.match(a.width),r=t.match(a.height),n=t.match(a.viewbox);return{width:e&&o(e[2]),height:r&&o(r[2]),viewbox:n&&s(n[2])}}(e[0]);if(r.width&&r.height)return function(t){return{width:t.width,height:t.height}}(r);if(r.viewbox)return function(t){var e=t.viewbox.width/t.viewbox.height;return t.width?{width:t.width,height:Math.floor(t.width/e)}:t.height?{width:Math.floor(t.height*e),height:t.height}:{width:t.viewbox.width,height:t.viewbox.height}}(r)}throw new TypeError(\"invalid svg\")}}},{}],431:[function(t,e,r){(function(r){\"use strict\";var n=t(\"fs\"),a=t(\"../readUInt\");function i(t,e){var r=a(t,16,8,e);return(a(t,16,10,e)<<16)+r}function o(t){if(t.length>24)return t.slice(12)}e.exports={detect:function(t){var e=t.toString(\"hex\",0,4);return\"49492a00\"===e||\"4d4d002a\"===e},calculate:function(t,e){if(!e)throw new TypeError(\"Tiff doesn't support buffer\");var s=\"BE\"===function(t){var e=t.toString(\"ascii\",0,2);return\"II\"===e?\"LE\":\"MM\"===e?\"BE\":void 0}(t),l=function(t,e){for(var r,n,s,l={};t&&t.length&&(r=a(t,16,0,e),n=a(t,16,2,e),s=a(t,32,4,e),0!==r);)1!==s||3!==n&&4!==n||(l[r]=i(t,e)),t=o(t);return l}(function(t,e,i){var o=a(t,32,4,i),s=1024,l=n.statSync(e).size;o+s>l&&(s=l-o-10);var c=r.alloc(s),u=n.openSync(e,\"r\");return n.readSync(u,c,0,s,o),c.slice(2)}(t,e,s),s),c=l[256],u=l[257];if(!c||!u)throw new TypeError(\"Invalid Tiff, missing tags\");return{width:c,height:u}}}}).call(this,t(\"buffer\").Buffer)},{\"../readUInt\":419,buffer:111,fs:109}],432:[function(t,e,r){\"use strict\";e.exports={detect:function(t){var e=\"RIFF\"===t.toString(\"ascii\",0,4),r=\"WEBP\"===t.toString(\"ascii\",8,12),n=\"VP8\"===t.toString(\"ascii\",12,15);return e&&r&&n},calculate:function(t){var e=t.toString(\"ascii\",12,16);if(t=t.slice(20,30),\"VP8X\"===e){var r=t[0];return!(!(0==(192&r))||!(0==(1&r)))&&function(t){return{width:1+t.readUIntLE(4,3),height:1+t.readUIntLE(7,3)}}(t)}if(\"VP8 \"===e&&47!==t[0])return function(t){return{width:16383&t.readInt16LE(6),height:16383&t.readInt16LE(8)}}(t);var n=t.toString(\"hex\",3,6);return\"VP8L\"===e&&\"9d012a\"!==n&&function(t){return{width:1+((63&t[2])<<8|t[1]),height:1+((15&t[4])<<10|t[3]<<2|(192&t[2])>>6)}}(t)}}},{}],433:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.length;if(0===r)throw new Error(\"Must have at least d+1 points\");var a=t[0].length;if(r<=a)throw new Error(\"Must input at least d+1 points\");var o=t.slice(0,a+1),s=n.apply(void 0,o);if(0===s)throw new Error(\"Input not in general position\");for(var l=new Array(a+1),u=0;u<=a;++u)l[u]=u;s<0&&(l[0]=1,l[1]=0);var h=new i(l,new Array(a+1),!1),f=h.adjacent,p=new Array(a+2);for(u=0;u<=a;++u){for(var d=l.slice(),g=0;g<=a;++g)g===u&&(d[g]=-1);var m=d[0];d[0]=d[1],d[1]=m;var v=new i(d,new Array(a+1),!0);f[u]=v,p[u]=v}p[a+1]=h;for(u=0;u<=a;++u){d=f[u].vertices;var y=f[u].adjacent;for(g=0;g<=a;++g){var x=d[g];if(x<0)y[g]=h;else for(var b=0;b<=a;++b)f[b].vertices.indexOf(x)<0&&(y[g]=f[b])}}var _=new c(a,o,p),w=!!e;for(u=a+1;u<r;++u)_.insert(t[u],w);return _.boundary()};var n=t(\"robust-orientation\"),a=t(\"simplicial-complex\").compareCells;function i(t,e,r){this.vertices=t,this.adjacent=e,this.boundary=r,this.lastVisited=-1}function 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s=t.adjacent,l=0;l<=r;++l){var c=s[l];if(c.boundary&&!(c.lastVisited<=-n)){for(var u=c.vertices,h=0;h<=r;++h){var f=u[h];a[h]=f<0?e:i[f]}var p=this.orient();if(p>0)return c;c.lastVisited=-n,0===p&&o.push(c)}}}return null},u.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,a=this.vertices,i=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,c=s.adjacent,u=0;u<=n;++u)i[u]=a[l[u]];s.lastVisited=r;for(u=0;u<=n;++u){var h=c[u];if(!(h.lastVisited>=r)){var f=i[u];i[u]=t;var p=this.orient();if(i[u]=f,p<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},u.addPeaks=function(t,e){var r=this.vertices.length-1,n=this.dimension,a=this.vertices,l=this.tuple,c=this.interior,u=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,c.push(e);for(var f=[];h.length>0;){var p=(e=h.pop()).vertices,d=e.adjacent,g=p.indexOf(r);if(!(g<0))for(var m=0;m<=n;++m)if(m!==g){var v=d[m];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var x=0,b=0;b<=n;++b)y[b]<0?(x=b,l[b]=t):l[b]=a[y[b]];if(this.orient()>0){y[x]=r,v.boundary=!1,c.push(v),h.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var _=v.adjacent,w=p.slice(),T=d.slice(),k=new i(w,T,!0);u.push(k);var M=_.indexOf(e);if(!(M<0)){_[M]=k,T[g]=v,w[m]=-1,T[m]=e,d[m]=k,k.flip();for(b=0;b<=n;++b){var A=w[b];if(!(A<0||A===r)){for(var S=new Array(n-1),E=0,C=0;C<=n;++C){var L=w[C];L<0||C===b||(S[E++]=L)}f.push(new o(S,k,b))}}}}}}f.sort(s);for(m=0;m+1<f.length;m+=2){var P=f[m],I=f[m+1],z=P.index,O=I.index;z<0||O<0||(P.cell.adjacent[P.index]=I.cell,I.cell.adjacent[I.index]=P.cell)}},u.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var a=this.dimension,i=this.tuple,o=0;o<=a;++o){var s=n.vertices[o];i[o]=s<0?t:r[s]}var l=this.orient(i);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},u.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,a=0;a<n;++a){var i=r[a];if(i.boundary){for(var o=new Array(t),s=i.vertices,l=0,c=0,u=0;u<=t;++u)s[u]>=0?o[l++]=s[u]:c=1&u;if(c===(1&t)){var h=o[0];o[0]=o[1],o[1]=h}e.push(o)}}return e}},{\"robust-orientation\":520,\"simplicial-complex\":530}],434:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\");function a(t,e,r,n,a){this.mid=t,this.left=e,this.right=r,this.leftPoints=n,this.rightPoints=a,this.count=(e?e.count:0)+(r?r.count:0)+n.length}e.exports=function(t){if(!t||0===t.length)return new v(null);return new v(m(t))};var i=a.prototype;function o(t,e){t.mid=e.mid,t.left=e.left,t.right=e.right,t.leftPoints=e.leftPoints,t.rightPoints=e.rightPoints,t.count=e.count}function s(t,e){var r=m(e);t.mid=r.mid,t.left=r.left,t.right=r.right,t.leftPoints=r.leftPoints,t.rightPoints=r.rightPoints,t.count=r.count}function l(t,e){var r=t.intervals([]);r.push(e),s(t,r)}function c(t,e){var r=t.intervals([]),n=r.indexOf(e);return n<0?0:(r.splice(n,1),s(t,r),1)}function u(t,e,r){for(var n=0;n<t.length&&t[n][0]<=e;++n){var a=r(t[n]);if(a)return a}}function h(t,e,r){for(var n=t.length-1;n>=0&&t[n][1]>=e;--n){var a=r(t[n]);if(a)return a}}function f(t,e){for(var r=0;r<t.length;++r){var n=e(t[r]);if(n)return n}}function p(t,e){return t-e}function d(t,e){var r=t[0]-e[0];return r||t[1]-e[1]}function g(t,e){var r=t[1]-e[1];return r||t[0]-e[0]}function m(t){if(0===t.length)return null;for(var e=[],r=0;r<t.length;++r)e.push(t[r][0],t[r][1]);e.sort(p);var n=e[e.length>>1],i=[],o=[],s=[];for(r=0;r<t.length;++r){var l=t[r];l[1]<n?i.push(l):n<l[0]?o.push(l):s.push(l)}var c=s,u=s.slice();return c.sort(d),u.sort(g),new a(n,m(i),m(o),c,u)}function v(t){this.root=t}i.intervals=function(t){return 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        "/*!\n",
        " * Determine if an object is a Buffer\n",
        " *\n",
@@ -164,7 +169,7 @@
        " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
        " * Licensed under the MIT License.\n",
        " */\n",
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r,n=parseInt(e);if(isNaN(n))\"\\u95f0\"===e[0]&&(r=!0,e=e.substring(1)),\"\\u6708\"===e[e.length-1]&&(e=e.substring(0,e.length-1)),n=1+[\"\\u4e00\",\"\\u4e8c\",\"\\u4e09\",\"\\u56db\",\"\\u4e94\",\"\\u516d\",\"\\u4e03\",\"\\u516b\",\"\\u4e5d\",\"\\u5341\",\"\\u5341\\u4e00\",\"\\u5341\\u4e8c\"].indexOf(e);else{var a=e[e.length-1];r=\"i\"===a||\"I\"===a}return this.toMonthIndex(t,n,r)},dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},_validateYear:function(t,e){if(t.year&&(t=t.year()),\"number\"!=typeof t||t<1888||t>2111)throw e.replace(/\\{0\\}/,this.local.name);return t},toMonthIndex:function(t,e,r){var a=this.intercalaryMonth(t);if(r&&e!==a||e<1||e>12)throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,a=e-30*(n-1)+1;return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((a.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year()+(a.year()<0?1:0),e=a.month(),(r=a.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=i},{\"../main\":593,\"object-assign\":473}],582:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new 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i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(a)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(a)%10-3]}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=i},{\"../main\":593,\"object-assign\":473}],584:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=i},{\"../main\":593,\"object-assign\":473}],585:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year(),e=a.month(),r=a.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),a=Math.floor((e-n)/30.6001),i=a-Math.floor(a<14?1:13),o=r-Math.floor(i>2?4716:4715),s=e-n-Math.floor(30.6001*a);return o<=0&&o--,this.newDate(o,i,s)}}),n.calendars.julian=i},{\"../main\":593,\"object-assign\":473}],586:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate).toJD(),i=this._toHaab(a),o=this._toTzolkin(a);return{haabMonthName:this.local.haabMonths[i[0]-1],haabMonth:i[0],haabDay:i[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return a.day()+20*a.month()+360*a.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=i},{\"../main\":593,\"object-assign\":473}],587:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");a(i.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidMonth);(t=a.year())<0&&t++;for(var i=a.day(),s=1;s<a.month();s++)i+=this.daysPerMonth[s-1];return i+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=i},{\"../main\":593,\"object-assign\":473}],588:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function 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c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=i.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],i.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),a=e.dayOfYear(),i=r+56;this._createMissingCalendarData(i);for(var o=9,s=this.NEPALI_CALENDAR_DATA[i][0],l=this.NEPALI_CALENDAR_DATA[i][o]-s+1;a>l;)++o>12&&(o=1,i++),l+=this.NEPALI_CALENDAR_DATA[i][o];var c=this.NEPALI_CALENDAR_DATA[i][o]-(l-a);return this.newDate(i,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)\"undefined\"==typeof 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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t-(t>=0?474:473),s=474+o(i,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(i/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),a=2820;if(1029982!==n){var i=Math.floor(n/366),s=o(n,366);a=Math.floor((2134*i+2816*s+2815)/1028522)+i+1}var l=a+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),h=t-this.toJD(l,u,1)+1;return this.newDate(l,u,h)}}),n.calendars.persian=i,n.calendars.jalali=i},{\"../main\":593,\"object-assign\":473}],590:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":593,\"object-assign\":473}],591:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":593,\"object-assign\":473}],592:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,a=0,i=0;i<o.length;i++){if(o[i]>r)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate),i=12*(a.year()-1)+a.month()-15292;return a.day()+o[i-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var a=r+15292,i=Math.floor((a-1)/12),s=i+1,l=a-12*i,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var a=n.baseCalendar.prototype.isValid.apply(this,arguments);return a&&(a=(t=null!=t.year?t.year:t)>=1276&&t<=1500),a},_validate:function(t,e,r,a){var i=n.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw a.replace(/\\{0\\}/,this.local.name);return i}}),n.calendars.ummalqura=i;var 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n=t(\"object-assign\");function a(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(a.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,a){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,a):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",a=0;r>0;){var i=r%10;n=(0===i?\"\":t[i]+e[a])+n,a++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),a=t.calendar().fromJD(n);return this._validateLevel--,[a.year(),a.month(),a.day()]}try{var i=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);a=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(i,o)&&(o=this.newDate(i,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(i)),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)i--,o+=t.monthsInYear(i);for(var e=t.monthsInYear(i);o>e-1+t.minMonth;)i++,o-=e,e=t.monthsInYear(i)}(this),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o))));var s=[i,this.fromMonthOfYear(i,o),a];return this._validateLevel--,s}catch(t){throw 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l,c,u=t._fullLayout.annotations,h=e._id.charAt(0),f=0;f<u.length;f++)l=u[f],c=\"annotations[\"+f+\"].\",l[h+\"ref\"]===e._id&&p(h),l[\"a\"+h+\"ref\"]===e._id&&p(\"a\"+h);function p(t){var r=l[t],s=null;s=o?a(r,e.range):Math.pow(10,r),n(s)||(s=null),i(c+t,s)}}},{\"../../lib/to_log_range\":775,\"fast-isnumeric\":241}],603:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function i(r,a){return n.coerce(t,e,s,r,a)}var l=i(\"visible\"),c=i(\"clicktoshow\");if(l||c){o(t,e,r,i);for(var u=e.showarrow,h=[\"x\",\"y\"],f=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=h[d],m=a.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)a.getFromId(p,m)._annIndices.push(e._index);if(a.coercePosition(e,p,i,m,g,.5),u){var v=\"a\"+g,y=a.coerceRef(t,e,p,v,\"pixel\");\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var 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S={x:{},y:{}},E=+e.textangle||0,C=x._infolayer.append(\"g\").classed(v,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),L=C.append(\"g\").classed(\"annotation-text-g\",!0),P=_[e.showarrow?\"annotationTail\":\"annotationPosition\"],I=e.captureevents||_.annotationText||P,z=L.append(\"g\").style(\"pointer-events\",I?\"all\":null).call(f,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",q(n.event))}));e.hovertext&&z.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,a=this.getBoundingClientRect(),i=t.getBoundingClientRect();u.loneHover({x0:a.left-i.left,x1:a.right-i.left,y:(a.top+a.bottom)/2-i.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:x._hoverlayer.node(),outerContainer:x._paper.node(),gd:t})})).on(\"mouseout\",(function(){u.loneUnhover(x._hoverlayer.node())}));var O=e.borderwidth,D=e.borderpad,R=O+D,F=z.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",O+\"px\").call(l.stroke,e.bordercolor).call(l.fill,e.bgcolor),B=e.width||e.height,N=x._topclips.selectAll(\"#\"+A).data(B?[0]:[]);N.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",A).append(\"rect\"),N.exit().remove();var j=e.font,U=x._meta?o.templateString(e.text,x._meta):e.text,V=z.append(\"text\").classed(\"annotation-text\",!0).text(U);_.annotationText?V.call(h.makeEditable,{delegate:z,gd:t}).call(H).on(\"edit\",(function(r){e.text=r,this.call(H),k(\"text\",r),s&&s.autorange&&T(s._name+\".autorange\",!0),m&&m.autorange&&T(m._name+\".autorange\",!0),a.call(\"_guiRelayout\",t,M())})):V.call(H)}else n.selectAll(\"#\"+A).remove();function q(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return i&&(n.subplotId=i),n}function H(r){return 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dt=0,gt=0;if(\"left\"!==e.align&&(dt=(w-v)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(gt=(I-y)*(\"middle\"===e.valign?.5:1)),u)n.select(\"svg\").attr({x:R+dt-1,y:R+gt}).call(c.setClipUrl,B?A:null,t);else{var mt=R+gt-d.top,vt=R+dt-d.left;V.call(h.positionText,vt,mt).call(c.setClipUrl,B?A:null,t)}N.select(\"rect\").call(c.setRect,R,R,w,I),F.call(c.setRect,O/2,O/2,D-O,j-O),z.call(c.setTranslate,Math.round(S.x.text-D/2),Math.round(S.y.text-j/2)),L.attr({transform:\"rotate(\"+E+\",\"+S.x.text+\",\"+S.y.text+\")\"});var yt,xt=function(r,n){C.selectAll(\".annotation-arrow-g\").remove();var u=S.x.head,h=S.y.head,f=S.x.tail+r,d=S.y.tail+n,v=S.x.text+r,y=S.y.text+n,x=o.rotationXYMatrix(E,v,y),w=o.apply2DTransform(x),A=o.apply2DTransform2(x),P=+F.attr(\"width\"),I=+F.attr(\"height\"),O=v-.5*P,D=O+P,R=y-.5*I,B=R+I,N=[[O,R,O,B],[O,B,D,B],[D,B,D,R],[D,R,O,R]].map(A);if(!N.reduce((function(t,e){return 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n=t(\"../annotations/attributes\"),a=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../plot_api/plot_template\").templatedArray;e.exports=a(i(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},{\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../annotations/attributes\":598}],608:[function(t,e,r){\"use 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n.coerce(t,e,s,r,a)}function c(t){var n=t+\"axis\",i={_fullLayout:{}};return i._fullLayout[n]=r[n],a.coercePosition(e,i,l,t,t,.5)}l(\"visible\")&&(o(t,e,i.fullLayout,l),c(\"x\"),c(\"y\"),c(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}e.exports=function(t,e,r){i(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},{\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/axes\":797,\"../annotations/common_defaults\":601,\"./attributes\":607}],610:[function(t,e,r){\"use strict\";var n=t(\"../annotations/draw\").drawRaw,a=t(\"../../plots/gl3d/project\"),i=[\"x\",\"y\",\"z\"];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var h=i[u],f=l[h],p=e[h+\"axis\"].r2fraction(f);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=a(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{\"../../plots/gl3d/project\":848,\"../annotations/draw\":604}],611:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\");e.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:t(\"./attributes\")}}},layoutAttributes:t(\"./attributes\"),handleDefaults:t(\"./defaults\"),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var i=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var 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This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));e.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:m,bar:m,box:m,heatmap:m,contour:m,histogram:m,histogram2d:m,histogram2dcontour:m,scatter3d:v,surface:v,mesh3d:v,scattergl:m,ohlc:g,candlestick:g},layout:{calendar:p([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:y},yaxis:{calendar:y},scene:{xaxis:{calendar:y},yaxis:{calendar:y},zaxis:{calendar:y}},polar:{radialaxis:{calendar:y}}},transforms:{filter:{valuecalendar:p([\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:p([\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. If `target` is a string (eg *x*) we use the\",\"corresponding trace attribute (eg `xcalendar`) if it exists,\",\"even if `targetcalendar` is provided.\"].join(\" \"))}}},layoutAttributes:l,handleDefaults:c,handleTraceDefaults:function(t,e,r,n){for(var a=0;a<r.length;a++)c(t,e,r[a]+\"calendar\",n.calendar)},CANONICAL_SUNDAY:{chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},CANONICAL_TICK:{chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},DFLTRANGE:{chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},getCal:f,worldCalFmt:function(t,e,r){for(var 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a=t.map((function(t){return{color:t.color||h.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1}})),i=n.select(e.container),o=e.outerContainer?n.select(e.outerContainer):i,s={hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||h.background,container:i,outerContainer:o},l=E(a,s,e.gd),c=0,u=0;return l.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<c?c-n+5:0,c=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u})),L(l,s.rotateLabels),r?l:l.node()};var S=/<extra>([\\s\\S]*)<\\/extra>/;function E(t,e,r){var a=r._fullLayout,i=e.hovermode,s=e.rotateLabels,c=e.bgColor,f=e.container,p=e.outerContainer,d=e.commonLabelOpts||{},b=e.fontFamily||m.HOVERFONT,_=e.fontSize||m.HOVERFONTSIZE,w=t[0],T=w.xa,S=w.ya,E=\"y\"===i.charAt(0)?\"yLabel\":\"xLabel\",L=w[E],P=(String(L)||\"\").split(\" \")[0],I=p.node().getBoundingClientRect(),z=I.top,O=I.width,D=I.height,R=void 0!==L&&w.distance<=e.hoverdistance&&(\"x\"===i||\"y\"===i);if(R){var F,B,N=!0;for(F=0;F<t.length;F++)if(N&&void 0===t[F].zLabel&&(N=!1),B=t[F].hoverinfo||t[F].trace.hoverinfo){var j=Array.isArray(B)?B:B.split(\"+\");if(-1===j.indexOf(\"all\")&&-1===j.indexOf(i)){R=!1;break}}N&&(R=!1)}var U=f.selectAll(\"g.axistext\").data(R?[0]:[]);function V(t){return t.filter((function(t){return void 0!==t.zLabelVal||(t[E]||\"\").split(\" \")[0]===P}))}if(U.enter().append(\"g\").classed(\"axistext\",!0),U.exit().remove(),U.each((function(){var 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E=x.width/2+M;v<E?(v=E,s.attr(\"d\",\"M-\"+(E-k)+\",0L-\"+(E-2*k)+\",\"+A+k+\"H\"+(M+x.width/2)+\"v\"+A+(2*M+x.height)+\"H-\"+E+\"V\"+A+k+\"Z\")):v>a.width-E?(v=a.width-E,s.attr(\"d\",\"M\"+(E-k)+\",0L\"+E+\",\"+A+k+\"v\"+A+(2*M+x.height)+\"H-\"+E+\"V\"+A+k+\"H\"+(E-2*k)+\"Z\")):s.attr(\"d\",\"M0,0L\"+k+\",\"+A+k+\"H\"+(M+x.width/2)+\"v\"+A+(2*M+x.height)+\"H-\"+(M+x.width/2)+\"V\"+A+k+\"H-\"+k+\"Z\")}else{var C,P,I;\"right\"===S.side?(C=\"start\",P=1,I=\"\",v=T._offset+T._length):(C=\"end\",P=-1,I=\"-\",v=T._offset),y=S._offset+(w.y0+w.y1)/2,c.attr(\"text-anchor\",C),s.attr(\"d\",\"M0,0L\"+I+k+\",\"+k+\"V\"+(M+x.height/2)+\"h\"+I+(2*M+x.width)+\"V-\"+(M+x.height/2)+\"H\"+I+k+\"V-\"+k+\"Z\");var O,D=x.height/2,R=z-x.top-D,F=\"clip\"+a._uid+\"commonlabel\"+S._id;if(v<x.width+2*M+k){O=\"M-\"+(k+M)+\"-\"+D+\"h-\"+(x.width-M)+\"V\"+D+\"h\"+(x.width-M)+\"Z\";var B=x.width-v+M;l.positionText(c,B,R),\"end\"===C&&c.selectAll(\"tspan\").each((function(){var 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t=n.select(this);t.append(\"rect\").call(h.fill,h.addOpacity(c,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(u.font,b,_)})),it.exit().remove(),it.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.bgcolor||t.color,f=h.combine(h.opacity(o)?o:h.defaultLine,c),p=h.combine(h.opacity(t.color)?t.color:h.defaultLine,c),d=t.borderColor||h.contrast(f),g=C(t,R,i,a,L,e),m=g[0],v=g[1],y=e.select(\"text.nums\").call(u.font,t.fontFamily||b,t.fontSize||_,t.fontColor||d).text(m).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r),w=e.select(\"text.name\"),T=0,A=0;if(v&&v!==m){w.call(u.font,t.fontFamily||b,t.fontSize||_,p).text(v).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r);var S=w.node().getBoundingClientRect();T=S.width+2*M,A=S.height+2*M}else w.remove(),e.select(\"rect\").remove();e.select(\"path\").style({fill:f,stroke:d});var E,P,I=y.node().getBoundingClientRect(),F=t.xa._offset+(t.x0+t.x1)/2,B=t.ya._offset+(t.y0+t.y1)/2,N=Math.abs(t.x1-t.x0),j=Math.abs(t.y1-t.y0),U=I.width+k+M+T;if(t.ty0=z-I.top,t.bx=I.width+2*M,t.by=Math.max(I.height+2*M,A),t.anchor=\"start\",t.txwidth=I.width,t.tx2width=T,t.offset=0,s)t.pos=F,E=B+j/2+U<=D,P=B-j/2-U>=0,\"top\"!==t.idealAlign&&E||!P?E?(B+=j/2,t.anchor=\"start\"):t.anchor=\"middle\":(B-=j/2,t.anchor=\"end\");else if(t.pos=B,E=F+N/2+U<=O,P=F-N/2-U>=0,\"left\"!==t.idealAlign&&E||!P)if(E)F+=N/2,t.anchor=\"start\";else{t.anchor=\"middle\";var V=U/2,q=F+V-O,H=F-V;q>0&&(F-=q),H<0&&(F+=-H)}else F-=N/2,t.anchor=\"end\";y.attr(\"text-anchor\",t.anchor),T&&w.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",\"translate(\"+F+\",\"+B+\")\"+(s?\"rotate(\"+x+\")\":\"\"))})),it}function C(t,e,r,n,a,i){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=O(t.name,t.nameLength)),void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"<br>\"),void 0!==t.yLabel&&(l+=\"y: \"+t.yLabel+\"<br>\"),\"choropleth\"!==t.trace.type&&\"choroplethmapbox\"!==t.trace.type&&(l+=(l?\"z: \":\"\")+t.zLabel)):e&&t[r.charAt(0)+\"Label\"]===a?l=t[(\"x\"===r.charAt(0)?\"y\":\"x\")+\"Label\"]||\"\":void 0===t.xLabel?void 0!==t.yLabel&&\"scattercarpet\"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:\"(\"+t.xLabel+\", \"+t.yLabel+\")\",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?\"<br>\":\"\")+t.text),void 0!==t.extraText&&(l+=(l?\"<br>\":\"\")+t.extraText),i&&\"\"===l&&!t.hovertemplate&&(\"\"===s&&i.remove(),l=s);var c=n._d3locale,u=t.hovertemplate||!1,h=t.hovertemplateLabels||t,f=t.eventData[0]||{};return u&&(l=(l=o.hovertemplateString(u,h,c,f,t.trace._meta)).replace(S,(function(e,r){return s=O(r,t.nameLength),\"\"}))),[l,s]}function L(t,e){t.each((function(t){var r=n.select(this);if(t.del)return r.remove();var a=r.select(\"text.nums\"),i=t.anchor,o=\"end\"===i?-1:1,s={start:1,end:-1,middle:0}[i],c=s*(k+M),h=c+s*(t.txwidth+M),f=0,p=t.offset;\"middle\"===i&&(c-=t.tx2width/2,h+=t.txwidth/2+M),e&&(p*=-T,f=t.offset*w),r.select(\"path\").attr(\"d\",\"middle\"===i?\"M-\"+(t.bx/2+t.tx2width/2)+\",\"+(p-t.by/2)+\"h\"+t.bx+\"v\"+t.by+\"h-\"+t.bx+\"Z\":\"M0,0L\"+(o*k+f)+\",\"+(k+p)+\"v\"+(t.by/2-k)+\"h\"+o*t.bx+\"v-\"+t.by+\"H\"+(o*k+f)+\"V\"+(p-k)+\"Z\");var d=c+f,g=p+t.ty0-t.by/2+M,m=t.textAlign||\"auto\";\"auto\"!==m&&(\"left\"===m&&\"start\"!==i?(a.attr(\"text-anchor\",\"start\"),d=\"middle\"===i?-t.bx/2-t.tx2width/2+M:-t.bx-M):\"right\"===m&&\"end\"!==i&&(a.attr(\"text-anchor\",\"end\"),d=\"middle\"===i?t.bx/2-t.tx2width/2-M:t.bx+M)),a.call(l.positionText,d,g),t.tx2width&&(r.select(\"text.name\").call(l.positionText,h+s*M+f,p+t.ty0-t.by/2+M),r.select(\"rect\").call(u.setRect,h+(s-1)*t.tx2width/2+f,p-t.by/2-1,t.tx2width,t.by+2))}))}function P(t,e){var 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n=t(\"../../plots/font_attributes\"),a=t(\"../../plots/pad_attributes\"),i=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:i(a({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../../plots/animation_attributes\":792,\"../../plots/font_attributes\":825,\"../../plots/pad_attributes\":859,\"./constants\":706}],706:[function(t,e,r){\"use 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T={y:e.y,b:h.height*d[w],t:h.height*p[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*p[_],T.r=0,T.xr=e.x+e.len*d[_]):(T.x=e.x,T.l=h.outerLength*p[_],T.r=h.outerLength*d[_]),a.autoMargin(t,g(e),T)}function y(t,e,r){if(e.currentvalue.visible){var n,a,i=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=i.inputAreaLength-u.currentValueInset-i.currentValueMaxWidth,a=\"left\";break;case\"center\":n=.5*i.inputAreaLength,a=\"middle\";break;default:n=u.currentValueInset,a=\"left\"}var c=s.ensureSingle(t,\"text\",u.labelClass,(function(t){t.classed(\"user-select-none\",!0).attr({\"text-anchor\":a,\"data-notex\":1})})),h=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)h+=r;else{var p=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(p=s.templateString(p,d)),h+=p}e.currentvalue.suffix&&(h+=e.currentvalue.suffix),c.call(o.font,e.currentvalue.font).text(h).call(l.convertToTspans,e._gd);var 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f=s.distinctVals(t),d=Math.pow(10,Math.floor(Math.log(f.minDiff)/Math.LN10)),g=d*s.roundUp(f.minDiff/d,[.9,1.9,4.9,9.9],!0);h=Math.max(g,2*s.stdev(t)/Math.pow(t.length,n?.25:.4)),a(h)||(h=1)}F.autoTicks(l,h)}var m,v=l.dtick,y=F.tickIncrement(F.tickFirst(l),v,\"reverse\",i);if(\"number\"==typeof v)m=(y=function(t,e,r,n,i){var o=0,s=0,l=0,c=0;function u(e){return(1+100*(e-t)/r.dtick)%100<2}for(var h=0;h<e.length;h++)e[h]%1==0?l++:a(e[h])||c++,u(e[h])&&o++,u(e[h]+r.dtick/2)&&s++;var f=e.length-c;if(l===f&&\"date\"!==r.type)r.dtick<1?t=n-.5*r.dtick:(t-=.5)+r.dtick<n&&(t+=r.dtick);else if(s<.1*f&&(o>.3*f||u(n)||u(i))){var p=r.dtick/2;t+=t+p<n?p:-p}return t}(y,t,l,c,u))+(1+Math.floor((u-y)/v))*v;else for(\"M\"===l.dtick.charAt(0)&&(y=function(t,e,r,n,a){var i=s.findExactDates(e,a);if(i.exactDays>.8){var o=Number(r.substr(1));i.exactYears>.8&&o%12==0?t=F.tickIncrement(t,\"M6\",\"reverse\")+1.5*M:i.exactMonths>.8?t=F.tickIncrement(t,\"M1\",\"reverse\")+15.5*M:t-=A;var l=F.tickIncrement(t,r);if(l<=n)return l}return t}(y,t,v,c,i)),m=y,0;m<=u;)m=F.tickIncrement(m,v,!1,i);return{start:e.c2r(y,0,i),end:e.c2r(m,0,i),size:v,_dataSpan:u-c}},F.prepTicks=function(t,e){var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"auto\"===t.tickmode||!t.dtick){var n,a=t.nticks;a||(\"category\"===t.type||\"multicategory\"===t.type?(n=t.tickfont?1.2*(t.tickfont.size||12):15,a=t._length/n):(n=\"y\"===t._id.charAt(0)?40:80,a=s.constrain(t._length/n,4,9)+1),\"radialaxis\"===t._name&&(a*=2)),\"array\"===t.tickmode&&(a*=100),t._roughDTick=(Math.abs(r[1]-r[0])-(t._lBreaks||0))/a,F.autoTicks(t,t._roughDTick),t._minDtick>0&&t.dtick<2*t._minDtick&&(t.dtick=t._minDtick,t.tick0=t.l2r(t._forceTick0))}t.tick0||(t.tick0=\"date\"===t.type?\"2000-01-01\":0),\"date\"===t.type&&t.dtick<.1&&(t.dtick=.1),$(t)},F.calcTicks=function(t,e){F.prepTicks(t,e);var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"array\"===t.tickmode)return function(t){var e=t.tickvals,r=t.ticktext,n=new Array(e.length),a=U(s.simpleMap(t.range,t.r2l)),i=Math.min(a[0],a[1]),o=Math.max(a[0],a[1]),l=0;Array.isArray(r)||(r=[]);var c=\"category\"===t.type?t.d2l_noadd:t.d2l;\"log\"===t.type&&\"L\"!==String(t.dtick).charAt(0)&&(t.dtick=\"L\"+Math.pow(10,Math.floor(Math.min(t.range[0],t.range[1]))-1));for(var u=0;u<e.length;u++){var h=c(e[u]);h>i&&h<o&&(void 0===r[u]?n[l]=F.tickText(t,h):n[l]=tt(t,h,String(r[u])),l++)}l<e.length&&n.splice(l,e.length-l);t.rangebreaks&&(n=n.filter((function(e){return t.maskBreaks(e.x)!==P})));return n}(t);t._tmin=F.tickFirst(t,e);var n=U(r),i=n[0],o=n[1],l=r[1]<r[0];if(t._tmin<i!==l)return[];\"category\"!==t.type&&\"multicategory\"!==t.type||(o=l?Math.max(-.5,o):Math.min(t._categories.length-.5,o));var c,u=\"log\"===t.type&&!(a(t.dtick)||\"L\"===t.dtick.charAt(0));!function(){var e=null,r=Math.max(1e3,t._length||0);c=[];for(var n=t._tmin;(l?n>=o:n<=o)&&!(c.length>r||n===e);n=F.tickIncrement(n,t.dtick,l,t.calendar)){e=n;var a=!1;u&&n!==(0|n)&&(a=!0),c.push({minor:a,value:n})}}();var h=\"period\"===t.ticklabelmode;if(h&&c.unshift({minor:!1,value:F.tickIncrement(c[0].value,t.dtick,!l,t.caldendar)}),t.rangebreaks){var f=c.length;if(f){var p=0;\"auto\"===t.tickmode&&(p=(\"y\"===t._id.charAt(0)?2:6)*(t.tickfont?t.tickfont.size:12));for(var d,E=[],C=l?1:-1,L=l?f-1:0,I=l?0:f-1;C*I<=C*L;I+=C){var z=c[I];if(t.maskBreaks(z.value)!==P||(z.value=vt(z.value,t),!t._rl||t._rl[0]!==z.value&&t._rl[1]!==z.value)){var O=t.c2p(z.value);O===d?E[E.length-1].value<z.value&&(E[E.length-1]=z):(void 0===d||Math.abs(O-d)>p)&&(d=O,E.push(z))}}c=E.reverse()}}mt(t)&&360===Math.abs(r[1]-r[0])&&c.pop(),t._tmax=(c[c.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var D,R=Math.min(r[0],r[1]),B=Math.max(r[0],r[1]),N=F.getTickFormat(t);h&&N&&(/%[fLQsSMX]/.test(N)||(/%[HI]/.test(N)?D=S:/%p/.test(N)?D=A:/%[Aadejuwx]/.test(N)?D=M:/%[UVW]/.test(N)?D=k:/%[Bbm]/.test(N)?D=w:/%[q]/.test(N)?D=x:/%[Yy]/.test(N)&&(D=m)));var j,V,q=[];for(j=0;j<c.length;j++){var H=c[j].minor,G=c[j].value,Y=F.tickText(t,G,!1,H);h&&V===Y.text||(V=Y.text,q.push(Y))}if(h){var W=!1;for(j=0;j<q.length;j++){var Z=q[j].x,X=j,J=j+1;j<q.length-1?(X=j,J=j+1):j>0?(X=j-1,J=j):(X=j,J=j);var K=q[X].x,Q=q[J].x,$=Math.abs(Q-K),et=D||$,rt=0;if(et>=v?rt=$>=v&&$<=g?$:m:D===x&&et>=b?rt=$>=b&&$<=y?$:x:et>=T?rt=$>=T&&$<=_?$:w:D===k&&et>=k?rt=k:et>=M?rt=M:D===A&&et>=A?rt=A:D===S&&et>=S&&(rt=S),rt&&t.rangebreaks){for(var nt=0,at=0,it=0;it<42;it++){var ot=it/42;t.maskBreaks(K*(1-ot)+Q*ot)!==P&&(ot<.5?nt++:at++)}at&&(rt*=(nt+at)/42)}rt<=$&&(Z+=rt/2),q[j].periodX=Z,(Z>B||Z<R)&&(q[j].text=\" \",W=!0)}if(W)for(j=0;j<q.length;j++)if(q[j].periodX<=B&&q[j].periodX>=R){t._prevDateHead=\"\",q[j].text=F.tickText(t,q[j].x).text;break}}return t._inCalcTicks=!1,q};var G=[2,5,10],Y=[1,2,3,6,12],W=[1,2,5,10,15,30],Z=[1,2,3,7,14],X=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],J=[-.301,0,.301,.699,1],K=[15,30,45,90,180];function Q(t,e,r){return e*s.roundUp(t/e,r)}function $(t){var e=t.dtick;if(t._tickexponent=0,a(e)||\"string\"==typeof e||(e=1),\"category\"!==t.type&&\"multicategory\"!==t.type||(t._tickround=null),\"date\"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,\"\"),i=n.length;if(\"M\"===String(e).charAt(0))i>10||\"01-01\"!==n.substr(5)?t._tickround=\"d\":t._tickround=+e.substr(1)%12==0?\"y\":\"m\";else if(e>=M&&i<=10||e>=15*M)t._tickround=\"d\";else if(e>=E&&i<=16||e>=S)t._tickround=\"M\";else if(e>=C&&i<=19||e>=E)t._tickround=\"S\";else{var o=t.l2r(r+e).replace(/^-/,\"\").length;t._tickround=Math.max(i,o)-20,t._tickround<0&&(t._tickround=4)}}else if(a(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);a(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),c=Math.floor(Math.log(l)/Math.LN10+.01);Math.abs(c)>3&&(rt(t.exponentformat)&&!nt(c)?t._tickexponent=3*Math.round((c-1)/3):t._tickexponent=c)}else t._tickround=null}function tt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontColor:n.color}}F.autoTicks=function(t,e){var r;function n(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar);var i=2*e;if(i>m)e/=m,r=n(10),t.dtick=\"M\"+12*Q(e,r,G);else if(i>w)e/=w,t.dtick=\"M\"+Q(e,1,Y);else if(i>M){t.dtick=Q(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:Z),t.tick0=s.dateTick0(t.calendar,!0);var o=F.getTickFormat(t);if(/%[uVW]/.test(o)){var l=t.tick0.length,c=+t.tick0[l-1];t.tick0=t.tick0.substring(0,l-2)+String(c+1)}}else i>S?t.dtick=Q(e,S,Y):i>E?t.dtick=Q(e,E,W):i>C?t.dtick=Q(e,C,W):(r=n(10),t.dtick=Q(e,r,G))}else if(\"log\"===t.type){t.tick0=0;var u=s.simpleMap(t.range,t.r2l);if(e>.7)t.dtick=Math.ceil(e);else if(Math.abs(u[1]-u[0])<1){var h=1.5*Math.abs((u[1]-u[0])/e);e=Math.abs(Math.pow(10,u[1])-Math.pow(10,u[0]))/h,r=n(10),t.dtick=\"L\"+Q(e,r,G)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):mt(t)?(t.tick0=0,r=1,t.dtick=Q(e,r,K)):(t.tick0=0,r=n(10),t.dtick=Q(e,r,G));if(0===t.dtick&&(t.dtick=1),!a(t.dtick)&&\"string\"!=typeof t.dtick){var f=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(f)}},F.tickIncrement=function(t,e,r,i){var o=r?-1:1;if(a(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,i);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?J:X,h=t+.01*o,f=s.roundUp(s.mod(h,1),u,r);return Math.floor(h)+Math.log(n.round(Math.pow(10,f),1))/Math.LN10}throw\"unrecognized dtick \"+String(e)},F.tickFirst=function(t,e){var r=t.r2l||Number,i=s.simpleMap(t.range,r,void 0,void 0,e),o=i[1]<i[0],l=o?Math.floor:Math.ceil,c=U(i)[0],u=t.dtick,h=r(t.tick0);if(a(u)){var f=l((c-h)/u)*u+h;return\"category\"!==t.type&&\"multicategory\"!==t.type||(f=s.constrain(f,0,t._categories.length-1)),f}var p=u.charAt(0),d=Number(u.substr(1));if(\"M\"===p){for(var g,m,v,y=0,x=h;y<10;){if(((g=F.tickIncrement(x,u,o,t.calendar))-c)*(x-c)<=0)return o?Math.min(x,g):Math.max(x,g);m=(c-(x+g)/2)/(g-x),v=p+(Math.abs(Math.round(m))||1)*d,x=F.tickIncrement(x,v,m<0?!o:o,t.calendar),y++}return s.error(\"tickFirst did not converge\",t),x}if(\"L\"===p)return Math.log(l((Math.pow(10,c)-h)/d)*d+h)/Math.LN10;if(\"D\"===p){var b=\"D2\"===u?J:X,_=s.roundUp(s.mod(c,1),b,o);return Math.floor(c)+Math.log(n.round(Math.pow(10,_),1))/Math.LN10}throw\"unrecognized dtick \"+String(u)},F.tickText=function(t,e,r,n){var i,o=tt(t,e),l=\"array\"===t.tickmode,c=r||l,u=t.type,h=\"category\"===u?t.d2l_noadd:t.d2l;if(l&&Array.isArray(t.ticktext)){var f=s.simpleMap(t.range,t.r2l),p=(Math.abs(f[1]-f[0])-(t._lBreaks||0))/1e4;for(i=0;i<t.ticktext.length&&!(Math.abs(e-h(t.tickvals[i]))<p);i++);if(i<t.ticktext.length)return o.text=String(t.ticktext[i]),o}function d(n){if(void 0===n)return!0;if(r)return\"none\"===n;var a={first:t._tmin,last:t._tmax}[n];return\"all\"!==n&&e!==a}var g=r?\"never\":\"none\"!==t.exponentformat&&d(t.showexponent)?\"hide\":\"\";if(\"date\"===u?function(t,e,r,n){var i=t._tickround,o=r&&t.hoverformat||F.getTickFormat(t);n&&(i=a(i)?4:{y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[i]);var l,c=s.formatDate(e.x,o,i,t._dateFormat,t.calendar,t._extraFormat),u=c.indexOf(\"\\n\");-1!==u&&(l=c.substr(u+1),c=c.substr(0,u));n&&(\"00:00:00\"===c||\"00:00\"===c?(c=l,l=\"\"):8===c.length&&(c=c.replace(/:00$/,\"\")));l&&(r?\"d\"===i?c+=\", \"+l:c=l+(c?\", \"+c:\"\"):t._inCalcTicks&&l===t._prevDateHead||(c+=\"<br>\"+l,t._prevDateHead=l));e.text=c}(t,o,r,c):\"log\"===u?function(t,e,r,n,i){var o=t.dtick,l=e.x,c=t.tickformat,u=\"string\"==typeof o&&o.charAt(0);\"never\"===i&&(i=\"\");n&&\"L\"!==u&&(o=\"L3\",u=\"L\");if(c||\"L\"===u)e.text=at(Math.pow(10,l),t,i,n);else if(a(o)||\"D\"===u&&s.mod(l+.01,1)<.1){var h=Math.round(l),f=Math.abs(h),p=t.exponentformat;\"power\"===p||rt(p)&&nt(h)?(e.text=0===h?1:1===h?\"10\":\"10<sup>\"+(h>1?\"\":L)+f+\"</sup>\",e.fontSize*=1.25):(\"e\"===p||\"E\"===p)&&f>2?e.text=\"1\"+p+(h>0?\"+\":L)+f:(e.text=at(Math.pow(10,l),t,\"\",\"fakehover\"),\"D1\"===o&&\"y\"===t._id.charAt(0)&&(e.dy-=e.fontSize/6))}else{if(\"D\"!==u)throw\"unrecognized dtick \"+String(o);e.text=String(Math.round(Math.pow(10,s.mod(l,1)))),e.fontSize*=.75}if(\"D1\"===t.dtick){var d=String(e.text).charAt(0);\"0\"!==d&&\"1\"!==d||(\"y\"===t._id.charAt(0)?e.dx-=e.fontSize/4:(e.dy+=e.fontSize/2,e.dx+=(t.range[1]>t.range[0]?1:-1)*e.fontSize*(l<0?.5:.25)))}}(t,o,0,c,g):\"category\"===u?function(t,e){var r=t._categories[Math.round(e.x)];void 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v=m[d+\"axislayer\"],y=e._mainLinePosition,x=e._mainMirrorPosition,b=e._vals=F.calcTicks(e),_=[e.mirror,y,x].join(\"_\");for(n=0;n<b.length;n++)b[n].axInfo=_;e._selections={},e._tickAngles&&(e._prevTickAngles=e._tickAngles),e._tickAngles={},e._depth=null;var w={};if(e.visible){var T,k,M=F.makeTransFn(e),A=\"period\"===e.ticklabelmode?F.makeTransPeriodFn(e):F.makeTransFn(e);if(\"boundaries\"===e.tickson){var S=function(t,e){var r,n=[],a=function(t,e){var r=t.xbnd[e];null!==r&&n.push(s.extendFlat({},t,{x:r}))};if(e.length){for(r=0;r<e.length;r++)a(e[r],0);a(e[r-1],1)}return n}(0,b);k=F.clipEnds(e,S),T=\"inside\"===e.ticks?k:S}else k=F.clipEnds(e,b),T=\"inside\"===e.ticks?k:b;var E=e._gridVals=k,C=function(t,e){var r,n,a=[],i=e.length&&e[e.length-1].x<e[0].x,o=function(t,e){var r=t.xbnd[e];null!==r&&a.push(s.extendFlat({},t,{x:r}))};if(t.showdividers&&e.length){for(r=0;r<e.length;r++){var l=e[r];l.text2!==n&&o(l,i?1:0),n=l.text2}o(e[r-1],i?0:1)}return 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n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e,r){return!(r=r||{}).noMultiCategory&&(o=t,a.isArrayOrTypedArray(o[0])&&a.isArrayOrTypedArray(o[1]))?\"multicategory\":function(t,e){for(var r=Math.max(1,(t.length-1)/1e3),i=0,o=0,s={},l=0;l<t.length;l+=r){var c=t[Math.round(l)],u=String(c);s[u]||(s[u]=1,a.isDateTime(c,e)&&(i+=1),n(c)&&(o+=1))}return i>2*o}(t,e)?\"date\":function(t){for(var e=Math.max(1,(t.length-1)/1e3),r=0,n=0,o={},s=0;s<t.length;s+=e){var l=t[Math.round(s)],c=String(l);o[c]||(o[c]=1,\"boolean\"==typeof l?n++:a.cleanNumber(l)!==i?r++:\"string\"==typeof l&&n++)}return n>2*r}(t)?\"category\":function(t){if(!t)return!1;for(var e=0;e<t.length;e++)if(n(t[e]))return!0;return!1}(t)?\"linear\":\"-\";var o}},{\"../../constants/numerical\":724,\"../../lib\":749,\"fast-isnumeric\":241}],799:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../registry\"),i=t(\"../../lib\"),o=t(\"../array_container_defaults\"),s=t(\"./layout_attributes\"),l=t(\"./tick_value_defaults\"),c=t(\"./tick_mark_defaults\"),u=t(\"./tick_label_defaults\"),h=t(\"./category_order_defaults\"),f=t(\"./line_grid_defaults\"),p=t(\"./set_convert\"),d=t(\"./constants\").WEEKDAY_PATTERN,g=t(\"./constants\").HOUR_PATTERN;function m(t,e,r){function a(r,n){return i.coerce(t,e,s.rangebreaks,r,n)}if(a(\"enabled\")){var o=a(\"bounds\");if(o&&o.length>=2){var l,c,u=\"\";if(2===o.length)for(l=0;l<2;l++)if(c=y(o[l])){u=d;break}var h=a(\"pattern\",u);if(h===d)for(l=0;l<2;l++)(c=y(o[l]))&&(e.bounds[l]=o[l]=c-1);if(h)for(l=0;l<2;l++)switch(c=o[l],h){case d:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[l]=o[l]=c;break;case g:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return void(e.enabled=!1);e.bounds[l]=o[l]=c}if(!1===r.autorange){var 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r=t.substr(1).replace(/^0+/,\"\");return\"1\"===r&&(r=\"\"),t.charAt(0)+r}},r.list=function(t,e,n){var a=t._fullLayout;if(!a)return[];var i,o=r.listIds(t,e),s=new Array(o.length);for(i=0;i<o.length;i++){var l=o[i];s[i]=a[l.charAt(0)+\"axis\"+l.substr(1)]}if(!n){var c=a._subplots.gl3d||[];for(i=0;i<c.length;i++){var u=a[c[i]];e?s.push(u[e+\"axis\"]):s.push(u.xaxis,u.yaxis,u.zaxis)}}return s},r.listIds=function(t,e){var r=t._fullLayout;if(!r)return[];var n=r._subplots;return e?n[e+\"axis\"]:n.xaxis.concat(n.yaxis)},r.getFromId=function(t,e,n){var a=t._fullLayout;return\"x\"===n?e=e.replace(/y[0-9]*/,\"\"):\"y\"===n&&(e=e.replace(/x[0-9]*/,\"\")),a[r.id2name(e)]},r.getFromTrace=function(t,e,a){var i=t._fullLayout,o=null;if(n.traceIs(e,\"gl3d\")){var s=e.scene;\"scene\"===s.substr(0,5)&&(o=i[s][a+\"axis\"])}else o=r.getFromId(t,e[a+\"axis\"]||a);return o},r.idSort=function(t,e){var r=t.charAt(0),n=e.charAt(0);return r!==n?r>n?1:-1:+(t.substr(1)||1)-+(e.substr(1)||1)},r.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++){if(r[n][e])return\"g\"+n}return e}},{\"../../registry\":880,\"./constants\":803}],801:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){if(\"category\"===e.type){var a,i=t.categoryarray,o=Array.isArray(i)&&i.length>0;o&&(a=\"array\");var s,l=r(\"categoryorder\",a);\"array\"===l&&(s=r(\"categoryarray\")),o||\"array\"!==l||(l=e.categoryorder=\"trace\"),\"trace\"===l?e._initialCategories=[]:\"array\"===l?e._initialCategories=s.slice():(s=function(t,e){var r,n,a,i=e.dataAttr||t._id.charAt(0),o={};if(e.axData)r=e.axData;else for(r=[],n=0;n<e.data.length;n++){var s=e.data[n];s[i+\"axis\"]===t._id&&r.push(s)}for(n=0;n<r.length;n++){var l=r[n][i];for(a=0;a<l.length;a++){var c=l[a];null!=c&&(o[c]=1)}}return Object.keys(o)}(e,n).sort(),\"category ascending\"===l?e._initialCategories=s:\"category 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r,n,a,i,l=t._fullLayout,c=l._plots,h=l._subplots.cartesian;if(ct&&o.subplotsRegistry.splom.drag(t),lt)for(r=0;r<h.length;r++)if(a=(n=c[h[r]]).xaxis,i=n.yaxis,n._scene){var f=s.simpleMap(a.range,a.r2l),p=s.simpleMap(i.range,i.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||lt)&&(x(t),b(t)),ut){var d=e[2]/P._length,m=e[3]/j._length;for(r=0;r<h.length;r++){a=(n=c[h[r]]).xaxis,i=n.yaxis;var v,y,_,w,T=ot&&!a.fixedrange&&W[a._id],k=st&&!i.fixedrange&&Z[i._id];if(T?(v=d,_=L?e[0]:Yt(a,v)):rt.xaHash[a._id]?(v=d,_=e[0]*a._length/P._length):rt.yaHash[a._id]?(v=m,_=\"ns\"===at?-e[1]*a._length/j._length:Yt(a,v,{n:\"top\",s:\"bottom\"}[at])):_=Gt(a,v=Ht(a,d,m)),k?(y=m,w=g?e[1]:Yt(i,y)):rt.yaHash[i._id]?(y=m,w=e[1]*i._length/j._length):rt.xaHash[i._id]?(y=d,w=\"ew\"===nt?-e[0]*i._length/P._length:Yt(i,y,{e:\"right\",w:\"left\"}[nt])):w=Gt(i,y=Ht(i,d,m)),v||y){v||(v=1),y||(y=1);var 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n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),i=Ft.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),o=(e.clientX-i.left)/i.width,l=(i.bottom-e.clientY)/i.height;if(ot){for(L||(o=.5),n=0;n<X.length;n++)c(X[n],o,a);Nt(\"x\"),Ot[2]*=a,Ot[0]+=Ot[2]*o*(1/a-1)}if(st){for(g||(l=.5),n=0;n<J.length;n++)c(J[n],l,a);Nt(\"y\"),Ot[3]*=a,Ot[1]+=Ot[3]*(1-l)*(1/a-1)}qt(Ot),jt(),t.emit(\"plotly_relayouting\",ht),Dt=setTimeout((function(){Ot=[0,0,$,tt],Vt()}),Rt),e.preventDefault()}else s.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=s.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return 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e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),a=r.split(\"y\");return n[0]===a[0]?Number(n[1]||1)-Number(a[1]||1):Number(n[0]||1)-Number(a[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,\"ns\",\"ew\");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&a.hover(t,e,r)},a.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,i.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,\"n\",\"w\"),s(t,n,o._offset+o._length,c._offset-l,l,l,\"n\",\"e\"),s(t,n,o._offset-l,c._offset+c._length,l,l,\"s\",\"w\"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,\"s\",\"e\"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var h=o._mainLinePosition;\"top\"===o.side&&(h-=l),s(t,n,o._offset+.1*o._length,h,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,h,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,h,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var 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e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._drawing=!1}}},{}],808:[function(t,e,r){\"use strict\";function n(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:n,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return n(t,r[e])}},getTransform:function(t){return\"translate(\"+t.xaxis._offset+\",\"+t.yaxis._offset+\")\"}}},{}],809:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\");e.exports=function(t){return function(e,r){var i=e[t];if(Array.isArray(i))for(var o=n.subplotsRegistry.cartesian,s=o.idRegex,l=r._subplots,c=l.xaxis,u=l.yaxis,h=l.cartesian,f=r._has(\"cartesian\")||r._has(\"gl2d\"),p=0;p<i.length;p++){var d=i[p];if(a.isPlainObject(d)){var 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T=e.plot.selectAll(\"g.mlayer\").data(m,(function(t){return t.className}));if(T.enter().append(\"g\").attr(\"class\",(function(t){return t.className})).classed(\"mlayer\",!0).classed(\"rangeplot\",e.isRangePlot),T.exit().remove(),T.order(),T.each((function(r){var a=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,a,i,o),-1===u.clipOnAxisFalseQuery.indexOf(\".\"+l)&&s.setClipUrl(a,e.layerClipId,t)})),d._has(\"scattergl\")&&(c=a.getModule(\"scattergl\"),f=l(r,c)[0],c.plot(t,e,f)),!t._context.staticPlot&&(e._hasClipOnAxisFalse&&(e.clipOnAxisFalseTraces=e.plot.selectAll(u.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),v.length)){var k=e.plot.selectAll(v.join(\",\")).selectAll(\".trace\");e.zoomScalePts=k.selectAll(\"path.point\"),e.zoomScaleTxt=k.selectAll(\".textpoint\")}}function g(t,e){var r=e.plotgroup,n=e.id,a=u.layerValue2layerClass[e.xaxis.layer],i=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,h=n+\"-x\",d=n+\"-y\";e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,f(s.overlinesBelow,\"path\",h),f(s.overlinesBelow,\"path\",d),f(s.overaxesBelow,\"g\",h),f(s.overaxesBelow,\"g\",d),e.plot=f(s.overplot,\"g\",n),f(s.overlinesAbove,\"path\",h),f(s.overlinesAbove,\"path\",d),f(s.overaxesAbove,\"g\",h),f(s.overaxesAbove,\"g\",d),e.xlines=l.select(\".overlines-\"+a).select(\".\"+h),e.ylines=l.select(\".overlines-\"+i).select(\".\"+d),e.xaxislayer=l.select(\".overaxes-\"+a).select(\".\"+h),e.yaxislayer=l.select(\".overaxes-\"+i).select(\".\"+d)}else if(o)e.xlines=f(r,\"path\",\"xlines-above\"),e.ylines=f(r,\"path\",\"ylines-above\"),e.xaxislayer=f(r,\"g\",\"xaxislayer-above\"),e.yaxislayer=f(r,\"g\",\"yaxislayer-above\");else{var g=f(r,\"g\",\"layer-subplot\");e.shapelayer=f(g,\"g\",\"shapelayer\"),e.imagelayer=f(g,\"g\",\"imagelayer\"),e.gridlayer=f(r,\"g\",\"gridlayer\"),e.zerolinelayer=f(r,\"g\",\"zerolinelayer\"),f(r,\"path\",\"xlines-below\"),f(r,\"path\",\"ylines-below\"),e.overlinesBelow=f(r,\"g\",\"overlines-below\"),f(r,\"g\",\"xaxislayer-below\"),f(r,\"g\",\"yaxislayer-below\"),e.overaxesBelow=f(r,\"g\",\"overaxes-below\"),e.plot=f(r,\"g\",\"plot\"),e.overplot=f(r,\"g\",\"overplot\"),e.xlines=f(r,\"path\",\"xlines-above\"),e.ylines=f(r,\"path\",\"ylines-above\"),e.overlinesAbove=f(r,\"g\",\"overlines-above\"),f(r,\"g\",\"xaxislayer-above\"),f(r,\"g\",\"yaxislayer-above\"),e.overaxesAbove=f(r,\"g\",\"overaxes-above\"),e.xlines=r.select(\".xlines-\"+a),e.ylines=r.select(\".ylines-\"+i),e.xaxislayer=r.select(\".xaxislayer-\"+a),e.yaxislayer=r.select(\".yaxislayer-\"+i)}o||(p(e.gridlayer,\"g\",e.xaxis._id),p(e.gridlayer,\"g\",e.yaxis._id),e.gridlayer.selectAll(\"g\").map((function(t){return 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t=this,e=t.graphDiv,r=e._fullLayout,a=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",a),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(s.setClipUrl,a,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},u.setConvert(t.mockAxis,r)},w.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,a=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,\"projection.scale\":n.scale},e=t._isScoped?{\"center.lon\":r.lon,\"center.lat\":r.lat}:t._isClipped?{\"projection.rotation.lon\":a.lon,\"projection.rotation.lat\":a.lat}:{\"center.lon\":r.lon,\"center.lat\":r.lat,\"projection.rotation.lon\":a.lon},i.extendFlat(this.viewInitial,e)},w.render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?\"translate(\"+r[0]+\",\"+r[1]+\")\":null}function a(t){return e.isLonLatOverEdges(t.lonlat)?\"none\":null}for(t in this.basePaths)this.basePaths[t].attr(\"d\",r);for(t in this.dataPaths)this.dataPaths[t].attr(\"d\",(function(t){return r(t.geojson)}));for(t in 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n=t(\"../../components/color/attributes\"),a=t(\"../domain\").attributes,i=t(\"./constants\"),o=t(\"../../plot_api/edit_types\").overrideAll,s={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:n.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1}};(e.exports=o({domain:a({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:Object.keys(i.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:Object.keys(i.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:n.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:i.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:i.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:i.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:i.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:n.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:n.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:n.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:n.background},lonaxis:s,lataxis:s},\"plot\",\"from-root\")).uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":614,\"../../plot_api/edit_types\":780,\"../domain\":824,\"./constants\":827}],831:[function(t,e,r){\"use 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v=n/(h[2]-h[0])*(l[2]-l[0])+l[0],y=a/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=a),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-a)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,a=0;a<e.length;a++)if(-1!==e[a][r]){if(-1!==e[a][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{i=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(i*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(i)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(i>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(i=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],i||s?(i&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=a),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-a)<d&&(a=c.dragStart[1]),i=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-a)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=i,l[2]+=i,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=a}return c.mouseListener=n(e,h),e.addEventListener(\"touchstart\",(function(t){var r=i(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=i(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=a(e,(function(e,n){if(!t.scrollZoom)return!1;var a=t.calcDataBox(),i=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(i[3]-i[1])),h=o/(i[2]-i[0])*(a[2]-a[0])+a[0],f=s/(i[3]-i[1])*(a[3]-a[1])+a[1];return a[0]=(a[0]-h)*l+h,a[2]=(a[2]-h)*l+h,a[1]=(a[1]-f)*l+f,a[3]=(a[3]-f)*l+f,t.setRanges(a),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":803,\"has-passive-events\":415,\"mouse-change\":457,\"mouse-event-offset\":458,\"mouse-wheel\":460}],836:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),a=t(\"../../lib/str2rgbarray\");function i(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=i.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,i,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=a(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=a(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=a((r.tickfont||{}).color),this.tickAngle[f+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=a(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=a(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,i=r.mirror||!1,u=c?-1!==String(i).indexOf(\"all\"):!!i,h=c?\"allticks\"===i:-1!==String(i).indexOf(\"ticks\"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=a(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=a(r.zerolinecolor),this.zeroLineWidth[f]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new i(t)}},{\"../../lib/str2rgbarray\":772,\"../cartesian/axes\":797}],837:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"./scene2d\"),i=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:i.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,i=0;i<n.length;i++){var o=n[i],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new a({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl2d||[],i=0;i<a.length;i++){var o=a[i],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var a=e._plots[r[n]]._scene2d,i=a.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":i,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),a.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":656,\"../../constants/xmlns_namespaces\":725,\"../../plot_api/edit_types\":780,\"../cartesian\":810,\"../cartesian/attributes\":795,\"../cartesian/constants\":803,\"../get_data\":834,\"../layout_attributes\":851,\"./scene2d\":838}],838:[function(t,e,r){\"use strict\";var n,a,i=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),h=t(\"webgl-context\"),f=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var M=k.prototype;M.makeFramework=function(){if(this.staticPlot){if(!(a||(n=document.createElement(\"canvas\"),a=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=a}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r),r.className+=\" user-select-none\";var i=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(i),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},M.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,a=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=a-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=a;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},M.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,a=r.height,i=0|Math.ceil(e*n),o=0|Math.ceil(e*a);return t.width===i&&t.height===o||(t.width=i,t.height=o),t},M.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},M.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},M.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,a={},o=a[e._name+\".range\"]=e.range.slice(),s=a[r._name+\".range\"]=r.range.slice();a[e._name+\".autorange\"]=e.autorange,a[r._name+\".autorange\"]=r.autorange,i.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,a);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,a.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",a)},M.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],a=e[r];if(n.length!==a.length)return!0;for(var i=0;i<n.length;++i)if(n[i].x!==a[i].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},M.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&i.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},M.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},M.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var a=r.width,i=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,a,i];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,a-u.r-(1-h[1])*u.w,i-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},M.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,a=t.r2l,i=e.r2l;return[a(r[0]),i(n[0]),a(r[1]),i(n[1])]},M.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,a=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[a(t[1]),a(t[3])]},M.updateTraces=function(t,e){var r,n,a,i=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<i.length;r++){var o=i[r],s=this.traces[o];for(n=0;n<t.length;n++)if((a=t[n]).uid===o&&a.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){a=t[r];var l=e[r],c=this.traces[a.uid];c?c.update(a,l):(c=a._module.plot(this,a,l),this.traces[a.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},M.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},M.emitPointAction=function(t,e){for(var r,n=t.trace.uid,a=t.pointIndex,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:a,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,a),this.graphDiv.emit(e,{points:[o]})},M.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,a=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var i,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===a.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=a._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(i=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&i.object._trace.handlePick(i);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),i&&\"skip\"!==i.object._trace.hoverinfo&&a.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:i.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(i.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(i.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,a,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}i||this.unhover(),t.draw()}},M.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},M.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/dragelement/helpers\":633,\"../../components/fx\":655,\"../../lib/show_no_webgl_msg\":770,\"../../plots/cartesian/axes\":797,\"../../registry\":880,\"../cartesian/autorange\":796,\"../cartesian/constants\":803,\"../cartesian/constraints\":804,\"./camera\":835,\"./convert\":836,\"gl-plot2d\":298,\"gl-select-box\":310,\"gl-spikes2d\":319,\"webgl-context\":578}],839:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../components/fx/layout_attributes\"),i=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:a.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,a=0;a<n.length;a++){var s=n[a],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,h=c._scene;h||(h=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl3d||[],i=0;i<a.length;i++){var o=a[i];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,a=0;a<r.length;a++){var i=e[r[a]],o=i.domain,s=i._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":656,\"../../constants/xmlns_namespaces\":725,\"../../lib\":749,\"../../plot_api/edit_types\":780,\"../get_data\":834,\"./layout/attributes\":840,\"./layout/defaults\":844,\"./layout/layout_attributes\":845,\"./scene\":849}],840:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],841:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),a=t(\"../../cartesian/layout_attributes\"),i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:a.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:a.color,categoryorder:a.categoryorder,categoryarray:a.categoryarray,title:{text:a.title.text,font:a.title.font},type:i({},a.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autorange:a.autorange,rangemode:a.rangemode,range:i({},a.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:a.tickmode,nticks:a.nticks,tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,mirror:a.mirror,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,tickfont:a.tickfont,tickangle:a.tickangle,tickprefix:a.tickprefix,showtickprefix:a.showtickprefix,ticksuffix:a.ticksuffix,showticksuffix:a.showticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,separatethousands:a.separatethousands,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:a.showline,linecolor:a.linecolor,linewidth:a.linewidth,showgrid:a.showgrid,gridcolor:i({},a.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:a.gridwidth,zeroline:a.zeroline,zerolinecolor:a.zerolinecolor,zerolinewidth:a.zerolinewidth,_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":615,\"../../../lib/extend\":739,\"../../../plot_api/edit_types\":780,\"../../cartesian/layout_attributes\":811}],842:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,a=t(\"../../../lib\"),i=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,h;function f(t,e){return a.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=i.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),f(\"title.text\",d[0]),h.setScale=a.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},{\"../../../lib\":749,\"../../../plot_api/plot_template\":787,\"../../cartesian/axis_defaults\":799,\"../../cartesian/type_defaults\":822,\"./axis_attributes\":841,tinycolor2:548}],843:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[i[r]];o.visible?(this.labels[r]=t._meta?a.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":749,\"../../../lib/str2rgbarray\":772}],844:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),a=t(\"../../../components/color\"),i=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=a.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],h=0;h<u.length;h++)r(\"camera.\"+u[h]+\".x\"),r(\"camera.\"+u[h]+\".y\"),r(\"camera.\"+u[h]+\".z\");r(\"camera.projection.type\");var f=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",f?\"manual\":\"auto\");f||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),i.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var a=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!a)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":615,\"../../../lib\":749,\"../../../registry\":880,\"../../get_data\":834,\"../../subplot_defaults\":874,\"./axis_defaults\":842,\"./layout_attributes\":845}],845:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),a=t(\"../../domain\").attributes,i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:i(s(0,0,1),{}),center:i(s(0,0,0),{}),eye:i(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:a({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":749,\"../../../lib/extend\":739,\"../../domain\":824,\"./axis_attributes\":841}],846:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function i(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}i.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[a[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new i;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":772}],847:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[i[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||a.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],a=new Array(n.length),i=0;i<n.length;++i)a[i]=n[i].x;e[r]=a}return e}(l)};var n=t(\"../../cartesian/axes\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":749,\"../../cartesian/axes\":797}],848:[function(t,e,r){\"use strict\";function n(t,e){var r,n,a=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)a[n]+=t[4*r+n]*e[r];return a}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],849:[function(t,e,r){\"use strict\";var n,a,i=t(\"gl-plot3d\"),o=i.createCamera,s=i.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),h=t(\"../../lib\"),f=t(\"../../plots/cartesian/axes\"),p=t(\"../../components/fx\"),d=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),m=t(\"./project\"),v=t(\"./layout/convert\"),y=t(\"./layout/spikes\"),x=t(\"./layout/tick_marks\"),b=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=y(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:b,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(a||(n=document.createElement(\"canvas\"),a=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=a,t.canvas=n}return t},w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode)e=!1;else try{h.warn([\"webgl setup failed possibly due to\",b?\"disabling\":\"enabling\",\"preserveDrawingBuffer config.\",\"The device may not be supported by is-mobile module!\",\"Inverting preserveDrawingBuffer option in second attempt to create webgl scene.\"].join(\" \")),b=t.glOptions.preserveDrawingBuffer=!t.glOptions.preserveDrawingBuffer,this.glplot=s(t)}catch(t){e=!1}}return e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},a=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas.addEventListener(\"mouseup\",(function(){a(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,i=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*i.x,y:n*i.y,z:n*i.z})}a(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,a=e.container.getBoundingClientRect(),i=a.width,o=a.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+i+\" \"+o),n.setAttributeNS(null,\"width\",i),n.setAttributeNS(null,\"height\",o),x(e),e.glplot.axes.update(e.axesOptions);for(var s,l=Object.keys(e.traces),c=null,u=e.glplot.selection,d=0;d<l.length;++d)\"skip\"!==(t=e.traces[l[d]]).data.hoverinfo&&t.handlePick(u)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r){var n=e.fullSceneLayout[t];return f.tickText(n,n.d2l(r),\"hover\").text}if(null!==c){var v=m(e.glplot.cameraParams,u.dataCoordinate);t=c.data;var y,b=r._fullData[t.index],_=u.index,w={xLabel:g(\"xaxis\",u.traceCoordinate[0]),yLabel:g(\"yaxis\",u.traceCoordinate[1]),zLabel:g(\"zaxis\",u.traceCoordinate[2])},T=p.castHoverinfo(b,e.fullLayout,_),k=(T||\"\").split(\"+\"),M=T&&\"all\"===T;b.hovertemplate||M||(-1===k.indexOf(\"x\")&&(w.xLabel=void 0),-1===k.indexOf(\"y\")&&(w.yLabel=void 0),-1===k.indexOf(\"z\")&&(w.zLabel=void 0),-1===k.indexOf(\"text\")&&(u.textLabel=void 0),-1===k.indexOf(\"name\")&&(c.name=void 0));var A=[];\"cone\"===t.type||\"streamtube\"===t.type?(w.uLabel=g(\"xaxis\",u.traceCoordinate[3]),(M||-1!==k.indexOf(\"u\"))&&A.push(\"u: \"+w.uLabel),w.vLabel=g(\"yaxis\",u.traceCoordinate[4]),(M||-1!==k.indexOf(\"v\"))&&A.push(\"v: \"+w.vLabel),w.wLabel=g(\"zaxis\",u.traceCoordinate[5]),(M||-1!==k.indexOf(\"w\"))&&A.push(\"w: \"+w.wLabel),w.normLabel=u.traceCoordinate[6].toPrecision(3),(M||-1!==k.indexOf(\"norm\"))&&A.push(\"norm: \"+w.normLabel),\"streamtube\"===t.type&&(w.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(M||-1!==k.indexOf(\"divergence\"))&&A.push(\"divergence: \"+w.divergenceLabel)),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(w.valueLabel=f.tickText(e._mockAxis,e._mockAxis.d2l(u.traceCoordinate[3]),\"hover\").text,A.push(\"value: \"+w.valueLabel),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):y=u.textLabel;var S={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};p.appendArrayPointValue(S,b,_),t._module.eventData&&(S=b._module.eventData(S,u,b,{},_));var E={points:[S]};e.fullSceneLayout.hovermode&&p.loneHover({trace:b,x:(.5+.5*v[0]/v[3])*i,y:(.5-.5*v[1]/v[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:y,name:c.name,color:p.castHoverOption(b,_,\"bgcolor\")||c.color,borderColor:p.castHoverOption(b,_,\"bordercolor\"),fontFamily:p.castHoverOption(b,_,\"font.family\"),fontSize:p.castHoverOption(b,_,\"font.size\"),fontColor:p.castHoverOption(b,_,\"font.color\"),nameLength:p.castHoverOption(b,_,\"namelength\"),textAlign:p.castHoverOption(b,_,\"align\"),hovertemplate:h.castOption(b,_,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),u.buttons&&u.distance<5?r.emit(\"plotly_click\",E):r.emit(\"plotly_hover\",E),s=E}else p.loneUnhover(n),r.emit(\"plotly_unhover\",s);e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):h.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var T=[\"xaxis\",\"yaxis\",\"zaxis\"];function k(t,e,r){for(var n=t.fullSceneLayout,a=0;a<3;a++){var i=T[a],o=i.charAt(0),s=n[i],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else r[0][a]=Math.min(r[0][a],0),r[1][a]=Math.max(r[1][a],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,a,i,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(d(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&k(this,n,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],a=0;a<3;a++)for(var i=T[a],o=i.charAt(0),s=r[i],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][a]=Math.min(e[0][a],u),e[1][a]=Math.max(e[1][a],u))}}}(this,h);var f=[1,1,1];for(o=0;o<3;++o)h[1][o]===h[0][o]?f[o]=1:f[o]=1/(h[1][o]-h[0][o]);for(this.dataScale=f,this.convertAnnotations(this),i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&((a=this.traces[n.uid])?a.data.type===n.type?a.update(n):(a.dispose(),a=n._module.plot(this,n),this.traces[n.uid]=a):(a=n._module.plot(this,n),this.traces[n.uid]=a),a.name=n.name);var p=Object.keys(this.traces);t:for(i=0;i<p.length;++i){for(o=0;o<t.length;++o)if(t[o].uid===p[i]&&!0===t[o].visible&&0!==t[o]._length)continue t;(a=this.traces[p[i]]).dispose(),delete this.traces[p[i]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,m=[[0,0,0],[0,0,0]],v=[],y={};for(i=0;i<3;++i){if((l=(s=c[T[i]]).type)in y?(y[l].acc*=f[i],y[l].count+=1):y[l]={acc:f[i],count:1},s.autorange){m[0][i]=1/0,m[1][i]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],M=w.bounds,A=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][i]=Math.min(m[0][i],s._lowerLogErrorBound):m[0][i]=Math.min(m[0][i],M[0][i]/f[i]-A),m[1][i]=Math.max(m[1][i],M[1][i]/f[i]+A)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][i]=Math.min(m[0][i],E),m[1][i]=Math.max(m[1][i],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][i]=Math.min(m[0][i],0),m[1][i]=Math.max(m[1][i],0)),m[0][i]>m[1][i])m[0][i]=-1,m[1][i]=1;else{var C=m[1][i]-m[0][i];m[0][i]-=C/32,m[1][i]+=C/32}if(\"reversed\"===s.autorange){var L=m[0][i];m[0][i]=m[1][i],m[1][i]=L}}else{var P=s.range;m[0][i]=s.r2l(P[0]),m[1][i]=s.r2l(P[1])}m[0][i]===m[1][i]&&(m[0][i]-=1,m[1][i]+=1),v[i]=m[1][i]-m[0][i],this.glplot.setBounds(i,{min:m[0][i]*f[i],max:m[1][i]*f[i]})}var I=c.aspectmode;if(\"cube\"===I)g=[1,1,1];else if(\"manual\"===I){var z=c.aspectratio;g=[z.x,z.y,z.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var O=[1,1,1];for(i=0;i<3;++i){var D=y[l=(s=c[T[i]]).type];O[i]=Math.pow(D.acc,1/D.count)/f[i]}g=\"data\"===I||Math.max.apply(null,O)/Math.min.apply(null,O)<=4?O:[1,1,1]}c.aspectratio.x=u.aspectratio.x=g[0],c.aspectratio.y=u.aspectratio.y=g[1],c.aspectratio.z=u.aspectratio.z=g[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=h.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var a=[\"up\",\"center\",\"eye\"],i=[\"x\",\"y\",\"z\"];return e[a[r]]&&t[a[r]][i[n]]===e[a[r]][i[n]]}var a=!1;if(void 0===r)a=!0;else{for(var i=0;i<3;i++)for(var o=0;o<3;o++)if(!n(e,r,i,o)){a=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(a=!0)}return a},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=h.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var 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strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var a=new Array(n),i=0;i<n;i++)a[i]=[t[i],e[i],r[i]];return a}},{}],851:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),a=t(\"./animation_attributes\"),i=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, 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strict\";var n={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:'<a href=\"http://www.openstreetmap.org/about/\" target=\"_blank\">\\xa9 OpenStreetMap</a>',tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:'<a href=\"https://carto.com/\" target=\"_blank\">\\xa9 CARTO</a>',tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:'<a href=\"https://carto.com/\" target=\"_blank\">\\xa9 CARTO</a>',tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:'Map tiles by <a href=\"http://stamen.com\">Stamen Design</a>, under <a href=\"http://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a> | Data by <a href=\"http://openstreetmap.org\">OpenStreetMap</a>, under <a 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n=t(\"../../lib\"),a=t(\"../../lib/svg_text_utils\").sanitizeHTML,i=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var 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n=t(\"mapbox-gl\"),a=t(\"../../lib\"),i=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),h=u.rectMode,f=u.drawMode,p=u.selectMode,d=t(\"../cartesian/select\").prepSelect,g=t(\"../cartesian/select\").clearSelect,m=t(\"../cartesian/select\").clearSelectionsCache,v=t(\"../cartesian/select\").selectOnClick,y=t(\"./constants\"),x=t(\"./layers\");function b(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var _=b.prototype;_.plot=function(t,e,r){var n,a=this,i=e[a.id];a.map&&i.accesstoken!==a.accessToken&&(a.map.remove(),a.map=null,a.styleObj=null,a.traceHash={},a.layerList=[]),n=a.map?new Promise((function(r,n){a.updateMap(t,e,r,n)})):new Promise((function(r,n){a.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,a){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:M(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left=\"0px\",c._canvas.style.top=\"0px\",o.rejectOnError(a),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once(\"load\",t)}))),u=u.concat(i.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(a)},_.updateMap=function(t,e,r,n){var a=this,o=a.map,s=e[this.id];a.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(a.styleObj)!==JSON.stringify(c)&&(a.styleObj=c,o.setStyle(c.style),a.traceHash={},l.push(new Promise((function(t){o.once(\"styledata\",t)})))),l=l.concat(i.fetchTraceGeoData(t)),Promise.all(l).then((function(){a.fillBelowLookup(t,e),a.updateData(t),a.updateLayout(e),a.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,a=e[this.id].layers,i=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;\"string\"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),\"\"===n&&(o=!0),i[\"trace-\"+s.uid]=n||\"\"}for(r=0;r<a.length;r++){var c=a[r];n=\"string\"==typeof c.below?c.below:o?\"traces\":\"\",i[\"layout-\"+r]=n}var u,h,f={};for(u in i)f[n=i[u]]?f[n].push(u):f[n]=[u];for(n in f){var 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s=o[n],l=!1;(e=i[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(i[r.uid]=r._module.plot(this,s))}var c=Object.keys(i);t:for(n=0;n<c.length;n++){var u=c[n];for(a=0;a<t.length;a++)if(u===(r=t[a][0].trace).uid)continue t;(e=i[u]).dispose(),delete i[u]}},_.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(M(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},_.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10))}))},_.rejectOnError=function(t){var e=this.map;function r(){t(new 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u},f.getinputConfig=function(){return c},f.radialScale=function(t){return r},f.angularScale=function(t){return s},f.svg=function(){return t},n.rebind(f,h,\"on\"),f},o.Axis.defaultConfig=function(t,e){return{data:[{t:[1,2,3,4],r:[10,11,12,13],name:\"Line1\",geometry:\"LinePlot\",color:null,strokeDash:\"solid\",strokeColor:null,strokeSize:\"1\",visibleInLegend:!0,opacity:1}],layout:{defaultColorRange:n.scale.category10().range(),title:null,height:450,width:500,margin:{top:40,right:40,bottom:40,left:40},font:{size:12,color:\"gray\",outlineColor:\"white\",family:\"Tahoma, 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n=e*Math.PI/180;return[e,t(n)]}))},o.util.dataFromEquation=function(t,e,r){var a=e||6,i=[],o=[];n.range(0,360+a,a).forEach((function(e,r){var n=e*Math.PI/180,a=t(n);i.push(e),o.push(a)}));var s={t:i,r:o};return r&&(s.name=r),s},o.util.ensureArray=function(t,e){if(\"undefined\"==typeof t)return null;var r=[].concat(t);return n.range(e).map((function(t,e){return r[e]||r[0]}))},o.util.fillArrays=function(t,e,r){return e.forEach((function(e,n){t[e]=o.util.ensureArray(t[e],r)})),t},o.util.cloneJson=function(t){return JSON.parse(JSON.stringify(t))},o.util.validateKeys=function(t,e){\"string\"==typeof e&&(e=e.split(\".\"));var r=e.shift();return t[r]&&(!e.length||objHasKeys(t[r],e))},o.util.sumArrays=function(t,e){return n.zip(t,e).map((function(t,e){return n.sum(t)}))},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var r=Math.max(t.length,e.length,1);r-- >=0&&t[r]===e[r];);return-2===r},o.util.flattenArray=function(t){for(var e=[];!o.util.arrayEqual(e,t);)e=t,t=[].concat.apply([],t);return t},o.util.deduplicate=function(t){return t.filter((function(t,e,r){return r.indexOf(t)==e}))},o.util.convertToCartesian=function(t,e){var r=e*Math.PI/180;return[t*Math.cos(r),t*Math.sin(r)]},o.util.round=function(t,e){var r=e||2,n=Math.pow(10,r);return Math.round(t*n)/n},o.util.getMousePos=function(t){var e=n.mouse(t.node()),r=e[0],a=e[1],i={};return i.x=r,i.y=a,i.pos=e,i.angle=180*(Math.atan2(a,r)+Math.PI)/Math.PI,i.radius=Math.sqrt(r*r+a*a),i},o.util.duplicatesCount=function(t){for(var e,r={},n={},a=0,i=t.length;a<i;a++)(e=t[a])in r?(r[e]++,n[e]=r[e]):r[e]=1;return n},o.util.duplicates=function(t){return Object.keys(o.util.duplicatesCount(t))},o.util.translator=function(t,e,r,n){if(n){var a=r.slice();r=e,e=a}var i=e.reduce((function(t,e){if(\"undefined\"!=typeof t)return t[e]}),t);\"undefined\"!=typeof i&&(e.reduce((function(t,r,n){if(\"undefined\"!=typeof t)return n===e.length-1&&delete 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o=r[2]?[r[0],r[1]+r[2]]:r,s=n.svg.symbol().size(t[i].data.dotSize).type(t[i].data.dotType)(r,a);n.select(this).attr({class:\"mark dot\",d:s,transform:function(t,r){var n,a,i,s=(n=function(t,r){var n=e.radialScale(t[1]),a=(e.angularScale(t[0])+e.orientation)*Math.PI/180;return{r:n,t:a}}(o),a=n.r*Math.cos(n.t),i=n.r*Math.sin(n.t),{x:a,y:i});return\"translate(\"+[s.x,s.y]+\")\"}})};var u=n.svg.line.radial().interpolate(t[0].data.lineInterpolation).radius((function(t){return e.radialScale(t[1])})).angle((function(t){return e.angularScale(t[0])*Math.PI/180}));c.line=function(r,a,i){var s=r[2]?o[i].map((function(t,e){return[t[0],t[1]+t[2]]})):o[i];if(n.select(this).each(c.dot).style({opacity:function(e,r){return+t[i].data.dotVisible},fill:d.stroke(r,a,i)}).attr({class:\"mark dot\"}),!(a>0)){var l=n.select(this.parentNode).selectAll(\"path.line\").data([0]);l.enter().insert(\"path\"),l.attr({class:\"line\",d:u(s),transform:function(t,r){return\"rotate(\"+(e.orientation+90)+\")\"},\"pointer-events\":\"none\"}).style({fill:function(t,e){return d.fill(r,a,i)},\"fill-opacity\":0,stroke:function(t,e){return d.stroke(r,a,i)},\"stroke-width\":function(t,e){return d[\"stroke-width\"](r,a,i)},\"stroke-dasharray\":function(t,e){return d[\"stroke-dasharray\"](r,a,i)},opacity:function(t,e){return d.opacity(r,a,i)},display:function(t,e){return d.display(r,a,i)}})}};var h=e.angularScale.range(),f=Math.abs(h[1]-h[0])/o[0].length*Math.PI/180,p=n.svg.arc().startAngle((function(t){return-f/2})).endAngle((function(t){return f/2})).innerRadius((function(t){return e.radialScale(l+(t[2]||0))})).outerRadius((function(t){return e.radialScale(l+(t[2]||0))+e.radialScale(t[1])}));c.arc=function(t,r,a){n.select(this).attr({class:\"mark 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arguments.length?(e.forEach((function(e,r){t[r]||(t[r]={}),a(t[r],o.PolyChart.defaultConfig()),a(t[r],e)})),this):t},i.getColorScale=function(){},n.rebind(i,e,\"on\"),i},o.PolyChart.defaultConfig=function(){return{data:{name:\"geom1\",t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:\"circle\",dotSize:64,dotVisible:!1,barWidth:20,color:\"#ffa500\",strokeSize:1,strokeColor:\"silver\",strokeDash:\"solid\",opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:\"LinePlot\",geometryType:\"arc\",direction:\"clockwise\",orientation:0,container:\"body\",radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"bar\"}}},o.AreaChart=function(){return o.PolyChart()},o.AreaChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"arc\"}}},o.DotPlot=function(){return o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"dot\",dotType:\"circle\"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"line\"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch(\"hover\");function r(){var e=t.legendConfig,i=t.data.map((function(t,r){return[].concat(t).map((function(t,n){var i=a({},e.elements[r]);return i.name=t,i.color=[].concat(e.elements[r].color)[n],i}))})),o=n.merge(i);o=o.filter((function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||\"undefined\"==typeof e.elements[r].visibleInLegend)})),e.reverseOrder&&(o=o.reverse());var s=e.container;(\"string\"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map((function(t,e){return t.color})),c=e.fontSize,u=null==e.isContinuous?\"number\"==typeof o[0]:e.isContinuous,h=u?e.height:c*o.length,f=s.classed(\"legend-group\",!0).selectAll(\"svg\").data([0]),p=f.enter().append(\"svg\").attr({width:300,height:h+c,xmlns:\"http://www.w3.org/2000/svg\",\"xmlns:xlink\":\"http://www.w3.org/1999/xlink\",version:\"1.1\"});p.append(\"g\").classed(\"legend-axis\",!0),p.append(\"g\").classed(\"legend-marks\",!0);var d=n.range(o.length),g=n.scale[u?\"linear\":\"ordinal\"]().domain(d).range(l),m=n.scale[u?\"linear\":\"ordinal\"]().domain(d)[u?\"range\":\"rangePoints\"]([0,h]);if(u){var v=f.select(\".legend-marks\").append(\"defs\").append(\"linearGradient\").attr({id:\"grad1\",x1:\"0%\",y1:\"0%\",x2:\"0%\",y2:\"100%\"}).selectAll(\"stop\").data(l);v.enter().append(\"stop\"),v.attr({offset:function(t,e){return e/(l.length-1)*100+\"%\"}}).style({\"stop-color\":function(t,e){return t}}),f.append(\"rect\").classed(\"legend-mark\",!0).attr({height:e.height,width:e.colorBandWidth,fill:\"url(#grad1)\"})}else{var y=f.select(\".legend-marks\").selectAll(\"path.legend-mark\").data(o);y.enter().append(\"path\").classed(\"legend-mark\",!0),y.attr({transform:function(t,e){return\"translate(\"+[c/2,m(e)+c/2]+\")\"},d:function(t,e){var r,a,i,o=t.symbol;return i=3*(a=c),\"line\"===(r=o)?\"M\"+[[-a/2,-a/12],[a/2,-a/12],[a/2,a/12],[-a/2,a/12]]+\"Z\":-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(i)():n.svg.symbol().type(\"square\").size(i)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var x=n.svg.axis().scale(m).orient(\"right\"),b=f.select(\"g.legend-axis\").attr({transform:\"translate(\"+[u?e.colorBandWidth:c,c/2]+\")\"}).call(x);return b.selectAll(\".domain\").style({fill:\"none\",stroke:\"none\"}),b.selectAll(\"line\").style({fill:\"none\",stroke:u?e.textColor:\"none\"}),b.selectAll(\"text\").style({fill:e.textColor,\"font-size\":e.fontSize}).text((function(t,e){return o[e].name})),r}return r.config=function(e){return arguments.length?(a(t,e),this):t},n.rebind(r,e,\"on\"),r},o.Legend.defaultConfig=function(t,e){return{data:[\"a\",\"b\",\"c\"],legendConfig:{elements:[{symbol:\"line\",color:\"red\"},{symbol:\"square\",color:\"yellow\"},{symbol:\"diamond\",color:\"limegreen\"}],height:150,colorBandWidth:30,fontSize:12,container:\"body\",isContinuous:null,textColor:\"grey\",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,i={container:null,hasTick:!1,fontSize:12,color:\"white\",padding:5},s=\"tooltip-\"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=i.container.selectAll(\"g.\"+s).data([0])).enter().append(\"g\").classed(s,!0).style({\"pointer-events\":\"none\",display:\"none\"});return r=n.append(\"path\").style({fill:\"white\",\"fill-opacity\":.9}).attr({d:\"M0 0\"}),e=n.append(\"text\").attr({dx:i.padding+l,dy:.3*+i.fontSize}),c};return c.text=function(a){var o=n.hsl(i.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",h=a||\"\";e.style({fill:u,\"font-size\":i.fontSize+\"px\"}).text(h);var f=i.padding,p=e.node().getBBox(),d={fill:i.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*f+l,m=p.height+2*f;return r.attr({d:\"M\"+[[l,-m/2],[l,-m/4],[i.hasTick?0:l,0],[l,m/4],[l,m/2],[g,m/2],[g,-m/2]].join(\"L\")+\"Z\"}).style(d),t.attr({transform:\"translate(\"+[l,-m/2+2*f]+\")\"}),t.style({display:\"block\"}),c},c.move=function(e){if(t)return t.attr({transform:\"translate(\"+[e[0],e[1]]+\")\"}).style({display:\"block\"}),c},c.hide=function(){if(t)return t.style({display:\"none\"}),c},c.show=function(){if(t)return t.style({display:\"block\"}),c},c.config=function(t){return a(i,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map((function(t,r){var n=a({},t);return[[n,[\"marker\",\"color\"],[\"color\"]],[n,[\"marker\",\"opacity\"],[\"opacity\"]],[n,[\"marker\",\"line\",\"color\"],[\"strokeColor\"]],[n,[\"marker\",\"line\",\"dash\"],[\"strokeDash\"]],[n,[\"marker\",\"line\",\"width\"],[\"strokeSize\"]],[n,[\"marker\",\"symbol\"],[\"dotType\"]],[n,[\"marker\",\"size\"],[\"dotSize\"]],[n,[\"marker\",\"barWidth\"],[\"barWidth\"]],[n,[\"line\",\"interpolation\"],[\"lineInterpolation\"]],[n,[\"showlegend\"],[\"visibleInLegend\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e||delete n.marker,e&&delete n.groupId,e?(\"LinePlot\"===n.geometry?(n.type=\"scatter\",!0===n.dotVisible?(delete n.dotVisible,n.mode=\"lines+markers\"):n.mode=\"lines\"):\"DotPlot\"===n.geometry?(n.type=\"scatter\",n.mode=\"markers\"):\"AreaChart\"===n.geometry?n.type=\"area\":\"BarChart\"===n.geometry&&(n.type=\"bar\"),delete n.geometry):(\"scatter\"===n.type?\"lines\"===n.mode?n.geometry=\"LinePlot\":\"markers\"===n.mode?n.geometry=\"DotPlot\":\"lines+markers\"===n.mode&&(n.geometry=\"LinePlot\",n.dotVisible=!0):\"area\"===n.type?n.geometry=\"AreaChart\":\"bar\"===n.type&&(n.geometry=\"BarChart\"),delete n.mode,delete n.type),n})),!e&&t.layout&&\"stack\"===t.layout.barmode)){var i=o.util.duplicates(r.data.map((function(t,e){return t.geometry})));r.data.forEach((function(t,e){var n=i.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)}))}if(t.layout){var s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e?(\"undefined\"!=typeof s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&\"undefined\"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&\"undefined\"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&\"boolean\"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder=\"normal\"!=s.legend.reverseOrder),s.legend&&\"boolean\"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?\"reversed\":\"normal\",delete s.legend.reverseOrder),s.margin&&\"undefined\"!=typeof s.margin.t){var l=[\"t\",\"r\",\"b\",\"l\",\"pad\"],c=[\"top\",\"right\",\"bottom\",\"left\",\"pad\"],u={};n.entries(s.margin).forEach((function(t,e){u[c[l.indexOf(t.key)]]=t.value})),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{\"../../../constants/alignment\":717,\"../../../lib\":749,d3:169}],870:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../../lib\"),i=t(\"../../../components/color\"),o=t(\"./micropolar\"),s=t(\"./undo_manager\"),l=a.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,a,i,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(\".svg-container>*:not(.chart-root)\").remove(),e=e?l(e,r):r,a||(a=o.Axis()),i=o.adapter.plotly().convert(e),a.config(i).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return a.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return o.adapter.plotly().convert(a.getLiveConfig(),!0)},f.getLiveScales=function(){return{t:a.angularScale(),r:a.radialScale()}},f.setUndoPoint=function(){var t,n,a=this,i=o.util.cloneJson(e);t=i,n=r,h.add({undo:function(){n&&a(n)},redo:function(){a(t)}}),r=o.util.cloneJson(i)},f.undo=function(){h.undo()},f.redo=function(){h.redo()},f},c.fillLayout=function(t){var e=n.select(t).selectAll(\".plot-container\"),r=e.selectAll(\".svg-container\"),a=t.framework&&t.framework.svg&&t.framework.svg(),o={width:800,height:600,paper_bgcolor:i.background,_container:e,_paperdiv:r,_paper:a};t._fullLayout=l(o,t.layout)}},{\"../../../components/color\":615,\"../../../lib\":749,\"./micropolar\":869,\"./undo_manager\":871,d3:169}],871:[function(t,e,r){\"use strict\";e.exports=function(){var t,e=[],r=-1,n=!1;function a(t,e){return t?(n=!0,t[e](),n=!1,this):this}return{add:function(t){return n||(e.splice(r+1,e.length-r),e.push(t),r=e.length-1),this},setCallback:function(e){t=e},undo:function(){var n=e[r];return n?(a(n,\"undo\"),r-=1,t&&t(n.undo),this):this},redo:function(){var n=e[r+1];return n?(a(n,\"redo\"),r+=1,t&&t(n.redo),this):this},clear:function(){e=[],r=-1},hasUndo:function(){return-1!==r},hasRedo:function(){return r<e.length-1},getCommands:function(){return e},getPreviousCommand:function(){return e[r-1]},getIndex:function(){return r}}}},{}],872:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=t(\"../../components/color\"),l=t(\"../../components/drawing\"),c=t(\"../plots\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../cartesian/set_convert\"),f=t(\"./set_convert\"),p=t(\"../cartesian/autorange\").doAutoRange,d=t(\"../cartesian/dragbox\"),g=t(\"../../components/dragelement\"),m=t(\"../../components/fx\"),v=t(\"../../components/titles\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").selectOnClick,b=t(\"../cartesian/select\").clearSelect,_=t(\"../../lib/setcursor\"),w=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,k=t(\"../../constants/alignment\").MID_SHIFT,M=t(\"./constants\"),A=t(\"./helpers\"),S=o._,E=o.mod,C=o.deg2rad,L=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n=\"clip\"+r._uid+e;this.clipIds.forTraces=n+\"-for-traces\",this.clipPaths.forTraces=r._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=r._polarlayer.append(\"g\").attr(\"class\",e),this.radialTickLayout=null,this.angularTickLayout=null}var I=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function O(t,e){return e[o.findIndexOfMin(e,(function(e){return o.angleDist(t,e)}))]}function D(t,e,r){return e?(t.attr(\"display\",null),t.attr(r)):t&&t.attr(\"display\",\"none\"),t}function R(t,e){return\"translate(\"+t+\",\"+e+\")\"}function F(t){return\"rotate(\"+t+\")\"}e.exports=function(t,e){return new P(t,e)},I.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var n=0;n<t.length;n++){if(!1===t[n][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(e,r),this.updateLayout(e,r),c.generalUpdatePerTraceModule(this.gd,this,t,r),this.updateFx(e,r)},I.updateLayers=function(t,e){var r=this.layers,a=e.radialaxis,i=e.angularaxis,o=M.layerNames,s=o.indexOf(\"frontplot\"),l=o.slice(0,s),c=\"below traces\"===i.layer,u=\"below traces\"===a.layer;c&&l.push(\"angular-line\"),u&&l.push(\"radial-line\"),c&&l.push(\"angular-axis\"),u&&l.push(\"radial-axis\"),l.push(\"frontplot\"),c||l.push(\"angular-line\"),u||l.push(\"radial-line\"),c||l.push(\"angular-axis\"),u||l.push(\"radial-axis\");var h=this.framework.selectAll(\".polarsublayer\").data(l,String);h.enter().append(\"g\").attr(\"class\",(function(t){return\"polarsublayer \"+t})).each((function(t){var e=r[t]=n.select(this);switch(t){case\"frontplot\":e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":r.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}})),h.order()},I.updateLayout=function(t,e){var r=this.layers,n=t._size,a=e.radialaxis,i=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(C);var p,d,g,m,v,y=this.sectorBBox=function(t){var e,r,n,a,i=t[0],o=t[1]-i,s=E(i,360),l=s+o,c=Math.cos(C(s)),u=Math.sin(C(s)),h=Math.cos(C(l)),f=Math.sin(C(l));a=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,a]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,v=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],m=[c[0]+v,c[1]-v]):(d=h,v=(u-(p=h/w))/n.w/2,g=[o[0]+v,o[1]-v],m=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=m;var T=this.xOffset2=n.l+n.w*g[0],k=this.yOffset2=n.t+n.h*(1-m[1]),M=this.radius=p/x,A=this.innerRadius=e.hole*M,S=this.cx=T-M*y[0],L=this.cy=k+M*y[3],P=this.cxx=S-T,I=this.cyy=L-k;this.radialAxis=this.mockAxis(t,e,a,{_id:\"x\",side:{counterclockwise:\"top\",clockwise:\"bottom\"}[a.side],domain:[A/n.w,M/n.w]}),this.angularAxis=this.mockAxis(t,e,i,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:m});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",R(P,I)),r.frontplot.attr(\"transform\",R(T,k)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",R(S,L)).call(s.fill,e.bgcolor)},I.mockAxis=function(t,e,r,n){var a=o.extendFlat({},r,n);return f(a,e,t),a},I.mockCartesianAxis=function(t,e,r){var n=this,a=r._id,i=o.extendFlat({type:\"linear\"},r);h(i,t);var s={x:[0,2],y:[1,3]};return i.setRange=function(){var t=n.sectorBBox,r=s[a],o=n.radialAxis._rl,l=(o[1]-o[0])/(1-e.hole);i.range=[t[r[0]]*l,t[r[1]]*l]},i.isPtWithinRange=\"x\"===a?function(t){return n.isPtInside(t)}:function(){return!0},i.setRange(),i.setScale(),i},I.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,a=e.radialaxis;n.setScale(),p(r,n);var i=n.range;a.range=i.slice(),a._input.range=i.slice(),n._rl=[n.r2l(i[0],null,\"gregorian\"),n.r2l(i[1],null,\"gregorian\")]},I.updateRadialAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.radialaxis,p=E(e.sector[0],360),d=r.radialAxis,g=l<i;r.fillViewInitialKey(\"radialaxis.angle\",f.angle),r.fillViewInitialKey(\"radialaxis.range\",d.range.slice()),d.setGeometry(),\"auto\"===d.tickangle&&p>90&&p<=270&&(d.tickangle=180);var m=function(t){return\"translate(\"+(d.l2p(t.x)+l)+\",0)\"},v=z(f);if(r.radialTickLayout!==v&&(a[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=v),g){d.setScale();var y=u.calcTicks(d),x=u.clipEnds(d,y),b=u.getTickSigns(d)[2];u.drawTicks(n,d,{vals:y,layer:a[\"radial-axis\"],path:u.makeTickPath(d,0,b),transFn:m,crisp:!1}),u.drawGrid(n,d,{vals:x,layer:a[\"radial-grid\"],path:function(t){return r.pathArc(d.r2p(t.x)+l)},transFn:o.noop,crisp:!1}),u.drawLabels(n,d,{vals:y,layer:a[\"radial-axis\"],transFn:m,labelFns:u.makeLabelFns(d,0)})}var _=r.radialAxisAngle=r.vangles?L(O(C(f.angle),r.vangles)):f.angle,w=R(c,h),T=w+F(-_);D(a[\"radial-axis\"],g&&(f.showticklabels||f.ticks),{transform:T}),D(a[\"radial-grid\"],g&&f.showgrid,{transform:w}),D(a[\"radial-line\"].select(\"line\"),g&&f.showline,{x1:l,y1:0,x2:i,y2:0,transform:T}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},I.updateRadialAxisTitle=function(t,e,r){var n=this.gd,a=this.radius,i=this.cx,o=this.cy,s=e.radialaxis,c=this.id+\"title\",u=void 0!==r?r:this.radialAxisAngle,h=C(u),f=Math.cos(h),p=Math.sin(h),d=0;if(s.title){var g=l.bBox(this.layers[\"radial-axis\"].node()).height,m=s.title.font.size;d=\"counterclockwise\"===s.side?-g-.4*m:g+.8*m}this.layers[\"radial-axis-title\"]=v.draw(n,c,{propContainer:s,propName:this.id+\".radialaxis.title\",placeholder:S(n,\"Click to enter radial axis title\"),attributes:{x:i+a/2*f+d*p,y:o-a/2*p+d*f,\"text-anchor\":\"middle\"},transform:{rotate:-u}})},I.updateAngularAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.angularaxis,p=r.angularAxis;r.fillViewInitialKey(\"angularaxis.rotation\",f.rotation),p.setGeometry(),p.setScale();var d=function(t){return p.t2g(t.x)};\"linear\"===p.type&&\"radians\"===p.thetaunit&&(p.tick0=L(p.tick0),p.dtick=L(p.dtick));var g=function(t){return R(c+i*Math.cos(t),h-i*Math.sin(t))},m=u.makeLabelFns(p,0).labelStandoff,v={xFn:function(t){var e=d(t);return Math.cos(e)*m},yFn:function(t){var e=d(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(m+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*k)},anchorFn:function(t){var e=d(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},heightFn:function(t,e,r){var n=d(t);return-.5*(1+Math.sin(n))*r}},y=z(f);r.angularTickLayout!==y&&(a[\"angular-axis\"].selectAll(\".\"+p._id+\"tick\").remove(),r.angularTickLayout=y);var x,b=u.calcTicks(p);if(\"linear\"===e.gridshape?(x=b.map(d),o.angleDelta(x[0],x[1])<0&&(x=x.slice().reverse())):x=null,r.vangles=x,\"category\"===p.type&&(b=b.filter((function(t){return o.isAngleInsideSector(d(t),r.sectorInRad)}))),p.visible){var _=\"inside\"===p.ticks?-1:1,w=(p.linewidth||1)/2;u.drawTicks(n,p,{vals:b,layer:a[\"angular-axis\"],path:\"M\"+_*w+\",0h\"+_*p.ticklen,transFn:function(t){var e=d(t);return g(e)+F(-L(e))},crisp:!1}),u.drawGrid(n,p,{vals:b,layer:a[\"angular-grid\"],path:function(t){var e=d(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[c+l*r,h-l*n]+\"L\"+[c+i*r,h-i*n]},transFn:o.noop,crisp:!1}),u.drawLabels(n,p,{vals:b,layer:a[\"angular-axis\"],repositionOnUpdate:!0,transFn:function(t){return g(d(t))},labelFns:v})}D(a[\"angular-line\"].select(\"path\"),f.showline,{d:r.pathSubplot(),transform:R(c,h)}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},I.updateFx=function(t,e){this.gd._context.staticPlot||(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1),this.updateMainDrag(t))},I.updateMainDrag=function(t){var e=this,r=e.gd,o=e.layers,s=t._zoomlayer,l=M.MINZOOM,c=M.OFFEDGE,u=e.radius,h=e.innerRadius,f=e.cx,p=e.cy,v=e.cxx,_=e.cyy,w=e.sectorInRad,T=e.vangles,k=e.radialAxis,S=A.clampTiny,E=A.findXYatLength,C=A.findEnclosingVertexAngles,L=M.cornerHalfWidth,P=M.cornerLen/2,I=d.makeDragger(o,\"path\",\"maindrag\",\"crosshair\");n.select(I).attr(\"d\",e.pathSubplot()).attr(\"transform\",R(f,p));var z,O,D,F,B,N,j,U,V,q={element:I,gd:r,subplot:e.id,plotinfo:{id:e.id,xaxis:e.xaxis,yaxis:e.yaxis},xaxes:[e.xaxis],yaxes:[e.yaxis]};function H(t,e){return Math.sqrt(t*t+e*e)}function G(t,e){return H(t-v,e-_)}function Y(t,e){return Math.atan2(_-e,t-v)}function W(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Z(t,r){if(0===t)return e.pathSector(2*L);var n=P/t,a=r-n,i=r+n,o=Math.max(0,Math.min(t,u)),s=o-L,l=o+L;return\"M\"+W(s,a)+\"A\"+[s,s]+\" 0,0,0 \"+W(s,i)+\"L\"+W(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+W(l,a)+\"Z\"}function X(t,r,n){if(0===t)return e.pathSector(2*L);var a,i,o=W(t,r),s=W(t,n),l=S((o[0]+s[0])/2),c=S((o[1]+s[1])/2);if(l&&c){var u=c/l,h=-1/u,f=E(L,u,l,c);a=E(P,h,f[0][0],f[0][1]),i=E(P,h,f[1][0],f[1][1])}else{var p,d;c?(p=P,d=L):(p=L,d=P),a=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+a.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function J(t,e){return e=Math.max(Math.min(e,u),h),t<c?t=0:u-t<c?t=u:e<c?e=0:u-e<c&&(e=u),Math.abs(e-t)>l?(t<e?(D=t,F=e):(D=e,F=t),!0):(D=null,F=null,!1)}function K(t,e){t=t||B,e=e||\"M0,0Z\",U.attr(\"d\",t),V.attr(\"d\",e),d.transitionZoombox(U,V,N,j),N=!0;var n={};rt(n),r.emit(\"plotly_relayouting\",n)}function Q(t,r){var n,a,i=z+t,o=O+r,s=G(z,O),l=Math.min(G(i,o),u),c=Y(z,O);J(s,l)&&(n=B+e.pathSector(F),D&&(n+=e.pathSector(D)),a=Z(D,c)+Z(F,c)),K(n,a)}function $(t,e,r,n){var a=A.findIntersectionXY(r,n,r,[t-v,_-e]);return H(a[0],a[1])}function tt(t,r){var 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n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=o._,l=t(\"../../components/color\"),c=t(\"../../components/drawing\"),u=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,f=t(\"../plots\"),p=t(\"../cartesian/axes\"),d=t(\"../../components/dragelement\"),g=t(\"../../components/fx\"),m=t(\"../../components/dragelement/helpers\"),v=m.freeMode,y=m.rectMode,x=t(\"../../components/titles\"),b=t(\"../cartesian/select\").prepSelect,_=t(\"../cartesian/select\").selectOnClick,w=t(\"../cartesian/select\").clearSelect,T=t(\"../cartesian/select\").clearSelectionsCache,k=t(\"../cartesian/constants\");function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=M;var A=M.prototype;A.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},A.plot=function(t,e){var 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h=r(\"hoveron\");\"all\"!==h&&-1===h.indexOf(\"points\")||r(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,r)}e.exports={supplyDefaults:function(t,e,r,a){function o(r,a){return n.coerce(t,e,l,r,a)}if(c(t,e,o,a),!1!==e.visible){var s=e._hasPreCompStats;s&&(o(\"lowerfence\"),o(\"upperfence\")),o(\"line.color\",(t.marker||{}).color||r),o(\"line.width\"),o(\"fillcolor\",i.addOpacity(e.line.color,.5));var h=!1;if(s){var f=o(\"mean\"),p=o(\"sd\");f&&f.length&&(h=!0,p&&p.length&&(h=\"sd\"))}o(\"boxmean\",h),o(\"whiskerwidth\"),o(\"width\"),o(\"quartilemethod\");var d=!1;if(s){var g=o(\"notchspan\");g&&g.length&&(d=!0)}else n.validate(t.notchwidth,l.notchwidth)&&(d=!0);o(\"notched\",d)&&o(\"notchwidth\"),u(t,e,o,{prefix:\"box\"})}},crossTraceDefaults:function(t,e){var r,a;function i(t){return n.coerce(a._input,a,l,t)}for(var s=0;s<t.length;s++){var 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N={},j=[\"med\",\"q1\",\"q3\",\"min\",\"max\"];(M.boxmean||(M.meanline||{}).visible)&&j.push(\"mean\"),(M.boxpoints||M.points)&&j.push(\"lf\",\"uf\");for(var U=0;U<j.length;U++){var V=j[U];if(V in D&&!(D[V]in N)){N[D[V]]=!0;var q=D[V],H=h.c2p(q,!0),G=a.extendFlat({},t);G.attr=V,G[c+\"0\"]=G[c+\"1\"]=H,G[c+\"LabelVal\"]=q,G[c+\"Label\"]=(A.labels?A.labels[V]+\" \":\"\")+n.hoverLabelText(h,q),G.hoverOnBox=!0,\"mean\"===V&&\"sd\"in D&&\"sd\"===M.boxmean&&(G[c+\"err\"]=D.sd),t.name=\"\",t.spikeDistance=void 0,t[B]=void 0,G.hovertemplate=!1,E.push(G)}}return E}function c(t,e,r){for(var n,o,l,c=t.cd,u=t.xa,h=t.ya,f=c[0].trace,p=u.c2p(e),d=h.c2p(r),g=i.quadrature((function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(u.c2p(t.x)-p)-e,1-3/e)}),(function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(h.c2p(t.y)-d)-e,1-3/e)})),m=!1,v=0;v<c.length;v++){o=c[v];for(var y=0;y<(o.pts||[]).length;y++){var 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o,s,l=\"h\"===r.orientation,c=e.val,u=e.pos,h=!!u.rangebreaks,f=i.bPos,p=i.wdPos||0,d=i.bPosPxOffset||0,g=r.whiskerwidth||0,m=r.notched||!1,v=m?1-2*r.notchwidth:1;Array.isArray(i.bdPos)?(o=i.bdPos[0],s=i.bdPos[1]):(o=i.bdPos,s=i.bdPos);var y=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?a.identity:[]);y.enter().append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").attr(\"class\",\"box\"),y.exit().remove(),y.each((function(t){if(t.empty)return\"M0,0Z\";var e=u.c2l(t.pos+f,!0),i=u.l2p(e-o)+d,y=u.l2p(e+s)+d,x=h?(i+y)/2:u.l2p(e)+d,b=r.whiskerwidth,_=h?i*b+(1-b)*x:u.l2p(e-p)+d,w=h?y*b+(1-b)*x:u.l2p(e+p)+d,T=u.l2p(e-o*v)+d,k=u.l2p(e+s*v)+d,M=c.c2p(t.q1,!0),A=c.c2p(t.q3,!0),S=a.constrain(c.c2p(t.med,!0),Math.min(M,A)+1,Math.max(M,A)-1),E=void 0===t.lf||!1===r.boxpoints,C=c.c2p(E?t.min:t.lf,!0),L=c.c2p(E?t.max:t.uf,!0),P=c.c2p(t.ln,!0),I=c.c2p(t.un,!0);l?n.select(this).attr(\"d\",\"M\"+S+\",\"+T+\"V\"+k+\"M\"+M+\",\"+i+\"V\"+y+(m?\"H\"+P+\"L\"+S+\",\"+k+\"L\"+I+\",\"+y:\"\")+\"H\"+A+\"V\"+i+(m?\"H\"+I+\"L\"+S+\",\"+T+\"L\"+P+\",\"+i:\"\")+\"ZM\"+M+\",\"+x+\"H\"+C+\"M\"+A+\",\"+x+\"H\"+L+(0===g?\"\":\"M\"+C+\",\"+_+\"V\"+w+\"M\"+L+\",\"+_+\"V\"+w)):n.select(this).attr(\"d\",\"M\"+T+\",\"+S+\"H\"+k+\"M\"+i+\",\"+M+\"H\"+y+(m?\"V\"+P+\"L\"+k+\",\"+S+\"L\"+y+\",\"+I:\"\")+\"V\"+A+\"H\"+i+(m?\"V\"+I+\"L\"+T+\",\"+S+\"L\"+i+\",\"+P:\"\")+\"ZM\"+x+\",\"+M+\"V\"+C+\"M\"+x+\",\"+A+\"V\"+L+(0===g?\"\":\"M\"+_+\",\"+C+\"H\"+w+\"M\"+_+\",\"+L+\"H\"+w))}))}function s(t,e,r,n){var o=e.x,s=e.y,l=n.bdPos,c=n.bPos,u=r.boxpoints||r.points;a.seedPseudoRandom();var h=t.selectAll(\"g.points\").data(u?function(t){return t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);h.enter().append(\"g\").attr(\"class\",\"points\"),h.exit().remove();var f=h.selectAll(\"path\").data((function(t){var e,n,i=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,h=.01*o,f=[],p=0;if(r.jitter){if(0===o)for(p=1,f=new Array(i.length),e=0;e<i.length;e++)f[e]=1;else for(e=0;e<i.length;e++){var d=Math.max(0,e-5),g=i[d].v,m=Math.min(i.length-1,e+5),v=i[m].v;\"all\"!==u&&(i[e].v<t.lf?v=Math.min(v,t.lf):g=Math.max(g,t.uf));var y=Math.sqrt(h*(m-d)/(v-g+s))||0;y=a.constrain(Math.abs(y),0,1),f.push(y),p=Math.max(y,p)}n=2*r.jitter/(p||1)}for(e=0;e<i.length;e++){var x=i[e],b=x.v,_=r.jitter?n*f[e]*(a.pseudoRandom()-.5):0,w=t.pos+c+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===u&&b<t.uo&&b>t.lo&&(x.so=!0)}return i}));f.enter().append(\"path\").classed(\"point\",!0),f.exit().remove(),f.call(i.translatePoints,o,s)}function l(t,e,r,i){var o,s,l=e.val,c=e.pos,u=!!c.rangebreaks,h=i.bPos,f=i.bPosPxOffset||0,p=r.boxmean||(r.meanline||{}).visible;Array.isArray(i.bdPos)?(o=i.bdPos[0],s=i.bdPos[1]):(o=i.bdPos,s=i.bdPos);var d=t.selectAll(\"path.mean\").data(\"box\"===r.type&&r.boxmean||\"violin\"===r.type&&r.box.visible&&r.meanline.visible?a.identity:[]);d.enter().append(\"path\").attr(\"class\",\"mean\").style({fill:\"none\",\"vector-effect\":\"non-scaling-stroke\"}),d.exit().remove(),d.each((function(t){var e=c.c2l(t.pos+h,!0),a=c.l2p(e-o)+f,i=c.l2p(e+s)+f,d=u?(a+i)/2:c.l2p(e)+f,g=l.c2p(t.mean,!0),m=l.c2p(t.mean-t.sd,!0),v=l.c2p(t.mean+t.sd,!0);\"h\"===r.orientation?n.select(this).attr(\"d\",\"M\"+g+\",\"+a+\"V\"+i+(\"sd\"===p?\"m0,0L\"+m+\",\"+d+\"L\"+g+\",\"+a+\"L\"+v+\",\"+d+\"Z\":\"\")):n.select(this).attr(\"d\",\"M\"+a+\",\"+g+\"H\"+i+(\"sd\"===p?\"m0,0L\"+d+\",\"+m+\"L\"+a+\",\"+g+\"L\"+d+\",\"+v+\"Z\":\"\"))}))}e.exports={plot:function(t,e,r,i){var c=e.xaxis,u=e.yaxis;a.makeTraceGroups(i,r,\"trace 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n=t(\"d3\");e.exports=function(t){n.select(t).selectAll(\".im image\").style(\"opacity\",(function(t){return t[0].trace.opacity}))}},{d3:169}],1084:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat,a=t(\"../../lib/extend\").extendDeep,i=t(\"../../plot_api/edit_types\").overrideAll,o=t(\"../../plots/font_attributes\"),s=t(\"../../components/color/attributes\"),l=t(\"../../plots/domain\").attributes,c=t(\"../../plots/cartesian/layout_attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,h=t(\"../../constants/delta.js\"),f=(t(\"../../constants/docs\").FORMAT_LINK,o({editType:\"plot\",colorEditType:\"plot\"})),p={color:{valType:\"color\",editType:\"plot\"},line:{color:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},width:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"calc\"},thickness:{valType:\"number\",min:0,max:1,dflt:1,editType:\"plot\"},editType:\"calc\"},d={valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},g=u(\"step\",a({},p,{range:d}));e.exports={mode:{valType:\"flaglist\",editType:\"calc\",flags:[\"number\",\"delta\",\"gauge\"],dflt:\"number\"},value:{valType:\"number\",editType:\"calc\",anim:!0},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},domain:l({name:\"indicator\",trace:!0,editType:\"calc\"}),title:{text:{valType:\"string\",editType:\"plot\"},align:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],editType:\"plot\"},font:n({},f,{}),editType:\"plot\"},number:{valueformat:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:n({},f,{}),prefix:{valType:\"string\",dflt:\"\",editType:\"plot\"},suffix:{valType:\"string\",dflt:\"\",editType:\"plot\"},editType:\"plot\"},delta:{reference:{valType:\"number\",editType:\"calc\"},position:{valType:\"enumerated\",values:[\"top\",\"bottom\",\"left\",\"right\"],dflt:\"bottom\",editType:\"plot\"},relative:{valType:\"boolean\",editType:\"plot\",dflt:!1},valueformat:{valType:\"string\",editType:\"plot\"},increasing:{symbol:{valType:\"string\",dflt:h.INCREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:h.INCREASING.COLOR,editType:\"plot\"},editType:\"plot\"},decreasing:{symbol:{valType:\"string\",dflt:h.DECREASING.SYMBOL,editType:\"plot\"},color:{valType:\"color\",dflt:h.DECREASING.COLOR,editType:\"plot\"},editType:\"plot\"},font:n({},f,{}),editType:\"calc\"},gauge:{shape:{valType:\"enumerated\",editType:\"plot\",dflt:\"angular\",values:[\"angular\",\"bullet\"]},bar:a({},p,{color:{dflt:\"green\"}}),bgcolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:s.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},axis:i({range:d,visible:n({},c.visible,{dflt:!0}),tickmode:c.tickmode,nticks:c.nticks,tick0:c.tick0,dtick:c.dtick,tickvals:c.tickvals,ticktext:c.ticktext,ticks:n({},c.ticks,{dflt:\"outside\"}),ticklen:c.ticklen,tickwidth:c.tickwidth,tickcolor:c.tickcolor,showticklabels:c.showticklabels,tickfont:o({}),tickangle:c.tickangle,tickformat:c.tickformat,tickformatstops:c.tickformatstops,tickprefix:c.tickprefix,showtickprefix:c.showtickprefix,ticksuffix:c.ticksuffix,showticksuffix:c.showticksuffix,separatethousands:c.separatethousands,exponentformat:c.exponentformat,showexponent:c.showexponent,editType:\"plot\"},\"plot\"),steps:g,threshold:{line:{color:n({},p.line.color,{}),width:n({},p.line.width,{dflt:1}),editType:\"plot\"},thickness:n({},p.thickness,{dflt:.85}),value:{valType:\"number\",editType:\"calc\",dflt:!1},editType:\"plot\"},editType:\"plot\"}}},{\"../../components/color/attributes\":614,\"../../constants/delta.js\":718,\"../../constants/docs\":719,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/domain\":824,\"../../plots/font_attributes\":825}],1085:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"./attributes\"),i=t(\"../../plots/domain\").defaults,o=t(\"../../plot_api/plot_template\"),s=t(\"../../plots/array_container_defaults\"),l=t(\"./constants.js\"),c=t(\"../../plots/cartesian/tick_value_defaults\"),u=t(\"../../plots/cartesian/tick_mark_defaults\"),h=t(\"../../plots/cartesian/tick_label_defaults\");function f(t,e){function r(r,i){return n.coerce(t,e,a.gauge.steps,r,i)}r(\"color\"),r(\"line.color\"),r(\"line.width\"),r(\"range\"),r(\"thickness\")}e.exports={supplyDefaults:function(t,e,r,p){function d(r,i){return n.coerce(t,e,a,r,i)}i(e,p,d),d(\"mode\"),e._hasNumber=-1!==e.mode.indexOf(\"number\"),e._hasDelta=-1!==e.mode.indexOf(\"delta\"),e._hasGauge=-1!==e.mode.indexOf(\"gauge\");var g=d(\"value\");e._range=[0,\"number\"==typeof g?1.5*g:1];var m,v,y,x,b,_,w=new Array(2);function T(t,e){return n.coerce(y,x,a.gauge,t,e)}function k(t,e){return 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h(i,o,l,s,n),f(i,o,l,s),o}function _(t,e){return\"translate(\"+t+\",\"+e+\")\"}function w(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+\"x\"+r]}function T(t,e,r,a){var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\"),o=n.select(i);return o.text(t).attr(\"x\",0).attr(\"y\",0).attr(\"text-anchor\",r).attr(\"data-unformatted\",t).call(c.convertToTspans,a).call(s.font,e),s.bBox(o.node())}function k(t,e,r,n,i,o){var s=\"_cache\"+e;t[s]&&t[s].key===i||(t[s]={key:i,value:r});var l=a.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,h){var f,p=t._fullLayout;y(r)&&h&&(f=h()),a.makeTraceGroups(p._indicatorlayer,e,\"trace\").each((function(e){var h,M,A,S,E,C=e[0].trace,L=n.select(this),P=C._hasGauge,I=C._isAngular,z=C._isBullet,O=C.domain,D={w:p._size.w*(O.x[1]-O.x[0]),h:p._size.h*(O.y[1]-O.y[0]),l:p._size.l+p._size.w*O.x[0],r:p._size.r+p._size.w*(1-O.x[1]),t:p._size.t+p._size.h*(1-O.y[1]),b:p._size.b+p._size.h*O.y[0]},R=D.l+D.w/2,F=D.t+D.h/2,B=Math.min(D.w/2,D.h),N=l.innerRadius*B,j=C.align||\"center\";if(M=F,P){if(I&&(h=R,M=F+B/2,A=function(t){return function(t,e){var r=Math.sqrt(t.width/2*(t.width/2)+t.height*t.height);return[e/r,t,e]}(t,.9*N)}),z){var U=l.bulletPadding,V=1-l.bulletNumberDomainSize+U;h=D.l+(V+(1-V)*m[j])*D.w,A=function(t){return w(t,(l.bulletNumberDomainSize-U)*D.w,D.h)}}}else h=D.l+m[j]*D.w,A=function(t){return w(t,D.w,D.h)};!function(t,e,r,i){var o,l,h,f=r[0].trace,p=i.numbersX,x=i.numbersY,w=f.align||\"center\",M=g[w],A=i.transitionOpts,S=i.onComplete,E=a.ensureSingle(e,\"g\",\"numbers\"),C=[];f._hasNumber&&C.push(\"number\");f._hasDelta&&(C.push(\"delta\"),\"left\"===f.delta.position&&C.reverse());var L=E.selectAll(\"text\").data(C);function P(e,r,n,a){if(!e.match(\"s\")||n>=0==a>=0||r(n).slice(-1).match(v)||r(a).slice(-1).match(v))return r;var i=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=b(t,{tickformat:i});return function(t){return Math.abs(t)<1?u.tickText(o,t).text:r(t)}}L.enter().append(\"text\"),L.attr(\"text-anchor\",(function(){return M})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),L.exit().remove();var I,z=f.mode+f.align;f._hasDelta&&(I=function(){var e=b(t,{tickformat:f.delta.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=function(t){return f.delta.relative?t.relativeDelta:t.delta},o=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?f.delta.increasing.symbol:f.delta.decreasing.symbol)+e(t)},h=function(t){return t.delta>=0?f.delta.increasing.color:f.delta.decreasing.color};void 0===f._deltaLastValue&&(f._deltaLastValue=i(r[0]));var p=E.select(\"text.delta\");function g(){p.text(o(i(r[0]),a)).call(d.fill,h(r[0])).call(c.convertToTspans,t)}return p.call(s.font,f.delta.font).call(d.fill,h({delta:f._deltaLastValue})),y(A)?p.transition().duration(A.duration).ease(A.easing).tween(\"text\",(function(){var t=n.select(this),e=i(r[0]),s=f._deltaLastValue,l=P(f.delta.valueformat,a,s,e),c=n.interpolateNumber(s,e);return f._deltaLastValue=e,function(e){t.text(o(c(e),l)),t.call(d.fill,h({delta:c(e)}))}})).each(\"end\",(function(){g(),S&&S()})).each(\"interrupt\",(function(){g(),S&&S()})):g(),l=T(o(i(r[0]),a),f.delta.font,M,t),p}(),z+=f.delta.position+f.delta.font.size+f.delta.font.family+f.delta.valueformat,z+=f.delta.increasing.symbol+f.delta.decreasing.symbol,h=l);f._hasNumber&&(!function(){var e=b(t,{tickformat:f.number.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=f.number.suffix,l=f.number.prefix,h=E.select(\"text.number\");function p(){var e=\"number\"==typeof r[0].y?l+a(r[0].y)+i:\"-\";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(A)?h.transition().duration(A.duration).ease(A.easing).each(\"end\",(function(){p(),S&&S()})).each(\"interrupt\",(function(){p(),S&&S()})).attrTween(\"text\",(function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,a,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+i)}})):p(),o=T(l+a(r[0].y)+i,f.number.font,M,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var O,D,R=[(o.left+o.right)/2,(o.top+o.bottom)/2],F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=.75*f.delta.font.size;\"left\"===f.delta.position&&(O=k(f,\"deltaPos\",0,-1*(o.width*m[f.align]+l.width*(1-m[f.align])+B),z,Math.min),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:l.left+O,right:o.right,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"right\"===f.delta.position&&(O=k(f,\"deltaPos\",0,o.width*(1-m[f.align])+l.width*m[f.align]+B,z,Math.max),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:o.left,right:l.right+O,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"bottom\"===f.delta.position&&(O=null,D=l.height,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height,bottom:o.bottom+l.height}),\"top\"===f.delta.position&&(O=null,D=o.top,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height-l.height,bottom:o.bottom}),I.attr({dx:O,dy:D})}(f._hasNumber||f._hasDelta)&&E.attr(\"transform\",(function(){var t=i.numbersScaler(h);z+=t[2];var e,r=k(f,\"numbersScale\",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];\"center\"===w&&(n=(h.left+h.right)/2);var a=p-r*n;return _(a=k(f,\"numbersTranslate\",0,a,z,Math.max),e)+\" scale(\"+r+\")\"}))}(t,L,e,{numbersX:h,numbersY:M,numbersScaler:A,transitionOpts:r,onComplete:f}),P&&(S={range:C.gauge.axis.range,color:C.gauge.bgcolor,line:{color:C.gauge.bordercolor,width:0},thickness:1},E={range:C.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:C.gauge.bordercolor,width:C.gauge.borderwidth},thickness:1});var q=L.selectAll(\"g.angular\").data(I?e:[]);q.exit().remove();var H=L.selectAll(\"g.angularaxis\").data(I?e:[]);H.exit().remove(),I&&function(t,e,r,a){var s,l,c,h,f=r[0].trace,p=a.size,d=a.radius,g=a.innerRadius,m=a.gaugeBg,v=a.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],T=a.gauge,k=a.layer,M=a.transitionOpts,A=a.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=(t-e)/(f.gauge.axis.range[1]-e)*Math.PI-S;return r<-S?-S:r>S?S:r}function C(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function L(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()}))}T.enter().append(\"g\").classed(\"angular\",!0),T.attr(\"transform\",_(w[0],w[1])),k.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),k.selectAll(\"g.xangularaxistick,path,text\").remove(),(s=b(t,f.gauge.axis)).type=\"linear\",s.range=f.gauge.axis.range,s._id=\"xangularaxis\",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},I={},z=u.makeLabelFns(s,0).labelStandoff;I.xFn=function(t){var e=P(t);return Math.cos(e)*z},I.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},I.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},I.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var O=function(t){return _(w[0]+d*Math.cos(t),w[1]-d*Math.sin(t))};c=function(t){return O(P(t))};if(l=u.calcTicks(s),h=u.getTickSigns(s)[2],s.visible){h=\"inside\"===s.ticks?-1:1;var D=(s.linewidth||1)/2;u.drawTicks(t,s,{vals:l,layer:k,path:\"M\"+h*D+\",0h\"+h*s.ticklen,transFn:function(t){var e=P(t);return O(e)+\"rotate(\"+-i(e)+\")\"}}),u.drawLabels(t,s,{vals:l,layer:k,transFn:c,labelFns:I})}var R=[m].concat(f.gauge.steps),F=T.selectAll(\"g.bg-arc\").data(R);F.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),F.select(\"path\").call(L).call(x),F.exit().remove();var B=C(f.gauge.bar.thickness),N=T.selectAll(\"g.value-arc\").data([f.gauge.bar]);N.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var j=N.select(\"path\");y(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){A&&A()})).each(\"interrupt\",(function(){A&&A()})).attrTween(\"d\",(U=B,V=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(V,q);return function(e){return U.endAngle(t(e))()}})),f._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var U,V,q;j.call(x),N.exit().remove(),R=[];var H=f.gauge.threshold.value;H&&R.push({range:[H,H],color:f.gauge.threshold.color,line:{color:f.gauge.threshold.line.color,width:f.gauge.threshold.line.width},thickness:f.gauge.threshold.thickness});var G=T.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(L).call(x),G.exit().remove();var Y=T.selectAll(\"g.gauge-outline\").data([v]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(L).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=L.selectAll(\"g.bullet\").data(z?e:[]);G.exit().remove();var Y=L.selectAll(\"g.bulletaxis\").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var a,i,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,_=h.domain,w=n.transitionOpts,T=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",\"translate(\"+v.l+\", \"+v.t+\")\"),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var k=v.h,M=h.gauge.bar.thickness*k,A=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(a=b(t,h.gauge.axis))._id=\"xbulletaxis\",a.domain=[A,S],a.setScale(),i=u.calcTicks(a),o=u.makeTransFn(a),s=u.getTickSigns(a)[2],c=v.t+v.h,a.visible&&(u.drawTicks(t,a,{vals:\"inside\"===a.ticks?u.clipEnds(a,i):i,layer:p,path:u.makeTickPath(a,c,s),transFn:o}),u.drawLabels(t,a,{vals:i,layer:p,transFn:o,labelFns:u.makeLabelFns(a,c)}));function E(t){t.attr(\"width\",(function(t){return Math.max(0,a.c2p(t.range[1])-a.c2p(t.range[0]))})).attr(\"x\",(function(t){return a.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*k})).attr(\"height\",(function(t){return t.thickness*k}))}var C=[g].concat(h.gauge.steps),L=f.selectAll(\"g.bg-bullet\").data(C);L.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),L.select(\"rect\").call(E).call(x),L.exit().remove();var P=f.selectAll(\"g.value-bullet\").data([h.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(k-M)/2).call(x),y(w)?P.select(\"rect\").transition().duration(w.duration).ease(w.easing).each(\"end\",(function(){T&&T()})).each(\"interrupt\",(function(){T&&T()})).attr(\"width\",Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var I=r.filter((function(){return h.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(I);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",a.c2p(h.gauge.threshold.value)).attr(\"x2\",a.c2p(h.gauge.threshold.value)).attr(\"y1\",(1-h.gauge.threshold.thickness)/2*k).attr(\"y2\",(1-(1-h.gauge.threshold.thickness)/2)*k).call(d.stroke,h.gauge.threshold.line.color).style(\"stroke-width\",h.gauge.threshold.line.width),z.exit().remove();var O=f.selectAll(\"g.gauge-outline\").data([m]);O.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),O.select(\"rect\").call(E).call(x),O.exit().remove()}(t,0,e,{gauge:G,layer:Y,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var W=L.selectAll(\"text.title\").data(e);W.exit().remove(),W.enter().append(\"text\").classed(\"title\",!0),W.attr(\"text-anchor\",(function(){return z?g.right:g[C.title.align]})).text(C.title.text).call(s.font,C.title.font).call(c.convertToTspans,t),W.attr(\"transform\",(function(){var t,e=D.l+D.w*m[C.title.align],r=l.titlePadding,n=s.bBox(W.node());if(P){if(I)if(C.gauge.axis.visible)t=s.bBox(H.node()).top-r-n.bottom;else t=D.t+D.h/2-B/2-n.bottom-r;z&&(t=M-(n.top+n.bottom)/2,e=D.l-l.bulletPadding*D.w)}else t=C._numbersTop-r-n.bottom;return _(e,t)}))}))}},{\"../../components/color\":615,\"../../components/drawing\":637,\"../../constants/alignment\":717,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plots/cartesian/axes\":797,\"../../plots/cartesian/axis_defaults\":799,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/cartesian/position_defaults\":814,\"./constants\":1087,d3:169}],1091:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../mesh3d/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;var c=e.exports=l(s({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:a(),showlegend:s({},o.showlegend,{dflt:!1})},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:i.opacity,lightposition:i.lightposition,lighting:i.lighting,flatshading:i.flatshading,contour:i.contour,hoverinfo:s({},o.hoverinfo)}),\"calc\",\"nested\");c.flatshading.dflt=!0,c.lighting.facenormalsepsilon.dflt=0,c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 0},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875,\"../mesh3d/attributes\":1096}],1092:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\"),a=t(\"../streamtube/calc\").processGrid,i=t(\"../streamtube/calc\").filter;e.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=i(e.x,e._len),e._y=i(e.y,e._len),e._z=i(e.z,e._len),e._value=i(e.value,e._len);var r=a(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l<e._len;l++){var c=e._value[l];o=Math.min(o,c),s=Math.max(s,c)}e._minValues=o,e._maxValues=s,e._vMin=void 0===e.isomin||null===e.isomin?o:e.isomin,e._vMax=void 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n=t(\"../../lib/extend\").extendFlat,a=t(\"../../plots/attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/domain\").attributes,c=n({editType:\"calc\"},o(\"line\",{editTypeOverride:\"calc\"}),{shape:{valType:\"enumerated\",values:[\"linear\",\"hspline\"],dflt:\"linear\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\"]})});e.exports={domain:l({name:\"parcats\",trace:!0,editType:\"calc\"}),hoverinfo:n({},a.hoverinfo,{flags:[\"count\",\"probability\"],editType:\"plot\",arrayOk:!1}),hoveron:{valType:\"enumerated\",values:[\"category\",\"color\",\"dimension\"],dflt:\"category\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\",\"category\",\"categorycount\",\"colorcount\",\"bandcolorcount\"]}),arrangement:{valType:\"enumerated\",values:[\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"perpendicular\",editType:\"plot\"},bundlecolors:{valType:\"boolean\",dflt:!0,editType:\"plot\"},sortpaths:{valType:\"enumerated\",values:[\"forward\",\"backward\"],dflt:\"forward\",editType:\"plot\"},labelfont:i({editType:\"calc\"}),tickfont:i({editType:\"calc\"}),dimensions:{_isLinkedToArray:\"dimension\",label:{valType:\"string\",editType:\"calc\"},categoryorder:{valType:\"enumerated\",values:[\"trace\",\"category 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s=o[0];a(t,s,r,i)}},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcats\"),i=e._has&&e._has(\"parcats\");a&&!i&&n._paperdiv.selectAll(\".parcats\").remove()}},{\"../../plots/get_data\":834,\"./plot\":1116}],1112:[function(t,e,r){\"use strict\";var n=t(\"../../lib/gup\").wrap,a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/calc\"),o=t(\"../../lib/filter_unique.js\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"fast-isnumeric\");function u(t,e,r){t.valueInds.push(e),t.count+=r}function h(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function f(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,g,m=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},a=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var i=0;i<t.length;i++){var o,s=t[i];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),a.push(o)}var l=e.map((function(t){return r[t]}));return{uniqueValues:e,uniqueCounts:l,inds:a}}(t.values,e)}));p=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[r]>=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map((function(t){return t.displayindex}))))for(e=0;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach((function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,m[e])}));var v,y=e.line;y?(a(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,M={},A=m.map((function(t){return t.inds}));for(g=0,x=0;x<k;x++){var S=[];for(b=0;b<A.length;b++)S.push(A[b][x]);d=p[x%p.length],g+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),C=S+\"-\"+E.rawColor;void 0===M[C]&&(M[C]=h(S,E.color,E.rawColor)),f(M[C],x,d)}var L,P=r.map((function(t,e){return function(t,e,r,n,a){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:a,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,g)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,z=m[b].inds[x],O=P[b].categories;if(void 0===O[z]){var D=e.dimensions[I]._categoryarray[z],R=e.dimensions[I]._ticktext[z];O[z]={dimensionInd:b,categoryInd:L=z,categoryValue:D,displayInd:L,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(O[z],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,M,g))}},{\"../../components/colorscale/calc\":623,\"../../components/colorscale/helpers\":626,\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/filter_unique.js\":740,\"../../lib/gup\":746,\"fast-isnumeric\":241}],1113:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,a){return n.coerce(t,e,l.dimensions,r,a)}var a=r(\"values\"),i=r(\"visible\");if(a&&a.length||(i=e.visible=!1),i){r(\"label\"),r(\"displayindex\",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o=\"array\");var u=r(\"categoryorder\",o);\"array\"===u?(r(\"categoryarray\"),r(\"ticktext\")):(delete t.categoryarray,delete t.ticktext),c||\"array\"!==u||(e.categoryorder=\"trace\")}}e.exports=function(t,e,r,h){function f(r,a){return n.coerce(t,e,l,r,a)}var p=s(t,e,{name:\"dimensions\",handleItemDefaults:u}),d=function(t,e,r,o,s){s(\"line.shape\"),s(\"line.hovertemplate\");var l=s(\"line.color\",o.colorway[0]);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,h,f);o(e,h,f),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,\"values\",d),f(\"hoveron\"),f(\"hovertemplate\"),f(\"arrangement\"),f(\"bundlecolors\"),f(\"sortpaths\"),f(\"counts\");var g={family:h.font.family,size:Math.round(h.font.size),color:h.font.color};n.coerceFont(f,\"labelfont\",g);var m={family:h.font.family,size:Math.round(h.font.size/1.2),color:h.font.color};n.coerceFont(f,\"tickfont\",m)}},{\"../../components/colorscale/defaults\":625,\"../../components/colorscale/helpers\":626,\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/domain\":824,\"../parcoords/merge_length\":1126,\"./attributes\":1110}],1114:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1110,\"./base_plot\":1111,\"./calc\":1112,\"./defaults\":1113,\"./plot\":1116}],1115:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plot_api/plot_api\"),i=t(\"../../components/fx\"),o=t(\"../../lib\"),s=t(\"../../components/drawing\"),l=t(\"tinycolor2\"),c=t(\"../../lib/svg_text_utils\");function u(t,e,r,a){var i=t.map(D.bind(0,e,r)),l=a.selectAll(\"g.parcatslayer\").data([null]);l.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var u=l.selectAll(\"g.trace.parcats\").data(i,h),m=u.enter().append(\"g\").attr(\"class\",\"trace parcats\");u.attr(\"transform\",(function(t){return\"translate(\"+t.x+\", \"+t.y+\")\"})),m.append(\"g\").attr(\"class\",\"paths\");var v=u.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),h);v.attr(\"fill\",(function(t){return t.model.color}));var b=v.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);x(b),v.attr(\"d\",(function(t){return t.svgD})),b.empty()||v.sort(p),v.exit().remove(),v.on(\"mouseover\",d).on(\"mouseout\",g).on(\"click\",y),m.append(\"g\").attr(\"class\",\"dimensions\");var T=u.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),h);T.enter().append(\"g\").attr(\"class\",\"dimension\"),T.attr(\"transform\",(function(t){return\"translate(\"+t.x+\", 0)\"})),T.exit().remove();var k=T.selectAll(\"g.category\").data((function(t){return t.categories}),h),M=k.enter().append(\"g\").attr(\"class\",\"category\");k.attr(\"transform\",(function(t){return\"translate(0, \"+t.y+\")\"})),M.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),k.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),_(M);var A=k.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h);A.each((function(){o.raiseToTop(this)})),A.attr(\"fill\",(function(t){return t.color}));var I=A.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);A.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),w(I),A.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;k.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",z+\" -1px  1px 2px, \"+z+\" 1px  1px 2px, \"+z+\"  1px -1px 2px, \"+z+\" -1px -1px 2px\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return f(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){s.font(n.select(this),t.parcatsViewModel.categorylabelfont),c.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),k.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){s.font(n.select(this),t.parcatsViewModel.labelfont)})),k.selectAll(\"rect.bandrect\").on(\"mouseover\",S).on(\"mouseout\",E),k.exit().remove(),T.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",C).on(\"drag\",L).on(\"dragend\",P)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function h(t){return t.key}function f(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function p(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function d(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){o.raiseToTop(this),b(n.select(this));var e=m(t),r=v(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var a,s,c,u=n.mouse(this)[0],h=t.parcatsViewModel.graphDiv,f=t.parcatsViewModel.trace,p=h._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),g=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(c=0;c<t.leftXs.length-1;c++)if(t.leftXs[c]+t.dimWidths[c]-2<=u&&u<=t.leftXs[c+1]+2){var y=t.parcatsViewModel.dimensions[c],x=t.parcatsViewModel.dimensions[c+1];a=(y.x+y.width+x.x)/2,s=(t.topYs[c]+t.topYs[c+1]+t.height)/2;break}var _=t.parcatsViewModel.x+a,w=t.parcatsViewModel.y+s,T=l.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,M=k/t.parcatsViewModel.model.count,A={countLabel:k,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",A.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",A.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(h)[0];i.loneHover({trace:f,x:_-d.left+g.left,y:w-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:C<_?\"right\":\"left\",hovertemplate:(f.line||{}).hovertemplate,hovertemplateLabels:A,eventData:[{data:f._input,fullData:f,count:k,probability:M}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h})}}}function g(t){if(!t.parcatsViewModel.dragDimension&&(x(n.select(this)),i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=I(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var a=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:a})}return e}function v(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var a=r[n],i=a.categories[t.model.categoryInds[n]];e[a.containerInd]=i.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function y(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function x(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function b(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return l.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function _(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function T(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function k(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){T(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var c={};c[i.dimensionInd]=i.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function M(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=T(a),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var c={};c[i.dimensionInd]=i.categoryValue,void 0!==a.rawColor&&(c.color=a.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function A(t,e){var r,a,i=n.select(e.parentNode).select(\"rect.catrect\"),o=i.node().getBoundingClientRect(),s=i.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,a=\"left\"):(r=o.left+o.width,a=\"right\");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},m=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&m.push([\"Count:\",g.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&m.push([\"P(\"+g.categoryLabel+\"):\",g.probabilityLabel].join(\" \"));var v=m.join(\"<br>\");return{trace:u,x:r-t.left,y:h-t.top,text:v,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:u.hovertemplate,hovertemplateLabels:g,eventData:[{data:u._input,fullData:u,count:f,category:p,probability:d}]}}function S(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,a=r._fullLayout,s=a._paperdiv.node().getBoundingClientRect(),c=t.parcatsViewModel.hoveron;if(\"color\"===c?(!function(t){var e=n.select(t).datum(),r=T(e);b(r),r.each((function(){o.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){o.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(this),M(this,\"plotly_hover\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=T(t);b(e),e.each((function(){o.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),k(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===c?e=A(s,this):\"color\"===c?e=function(t,e){var r,a,i=e.getBoundingClientRect(),o=n.select(e).datum(),s=o.categoryViewModel,c=s.parcatsViewModel,u=c.model.dimensions[s.model.dimensionInd],h=c.trace,f=i.y+i.height/2;c.dimensions.length>1&&u.displayInd===c.dimensions.length-1?(r=i.left,a=\"left\"):(r=i.left+i.width,a=\"right\");var p=s.model.categoryLabel,d=o.parcatsViewModel.model.count,g=0;o.categoryViewModel.bands.forEach((function(t){t.color===o.color&&(g+=t.count)}));var m=s.model.count,v=0;c.pathSelection.each((function(t){t.model.color===o.color&&(v+=t.model.count)}));var y=g/d,x=g/v,b=g/m,_={countLabel:d,categoryLabel:p,probabilityLabel:y.toFixed(3)},w=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&w.push([\"Count:\",_.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(w.push(\"P(color \\u2229 \"+p+\"): \"+_.probabilityLabel),w.push(\"P(\"+p+\" | color): \"+x.toFixed(3)),w.push(\"P(color | \"+p+\"): \"+b.toFixed(3)));var T=w.join(\"<br>\"),k=l.mostReadable(o.color,[\"black\",\"white\"]);return{trace:h,x:r-t.left,y:f-t.top,text:T,color:o.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:k,fontSize:10,idealAlign:a,hovertemplate:h.hovertemplate,hovertemplateLabels:_,eventData:[{data:h._input,fullData:h,category:p,count:d,probability:y,categorycount:m,colorcount:v,bandcolorcount:g}]}}(s,this):\"dimension\"===c&&(e=function(t,e){var r=[];return n.select(e.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){r.push(A(t,this))})),r}(s,this)),e&&i.loneHover(e,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r})}}function E(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(x(e.pathSelection),_(e.dimensionSelection.selectAll(\"g.category\")),w(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),i.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?M(this,\"plotly_unhover\",n.event):k(this,\"plotly_unhover\",n.event)}}function C(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],a=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=a&&a<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<a&&a<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function L(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,a=e+1,i=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=i.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=i.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){i.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[a];void 0!==f&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&i.model.dragX+i.width>p.x&&(i.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=i.model.displayInd}B(t.parcatsViewModel),F(t.parcatsViewModel),O(t.parcatsViewModel),z(t.parcatsViewModel)}}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=I(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var a=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+a+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),h=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[h],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):k(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,B(t.parcatsViewModel),F(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){O(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function I(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),h),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function O(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),h);var a=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),h);r(t.dimensionSelection).attr(\"transform\",(function(t){return\"translate(\"+t.x+\", 0)\"})),r(a).attr(\"transform\",(function(t){return\"translate(0, \"+t.y+\")\"})),a.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),a.select(\".catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return f(t)?t.width+5:-5})).each((function(t){var e,r;f(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var i=a.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h),s=i.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);i.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),w(s),i.each((function(){o.raiseToTop(this)})),i.exit().remove()}function D(t,e,r){var n,a=r[0],i=e.margin||{l:80,r:80,t:100,b:80},o=a.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),h=Math.floor(c*(s.y[1]-s.y[0])),f=s.x[0]*l+i.l,p=e.height-s.y[1]*e.height+i.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:a,x:f,y:p,width:u,height:h,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:i,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return a.dimensions&&(B(g),F(g)),g}function R(t,e,r,a,i){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(i)),c.push(o(1-i));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+a+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+a)+\" \"+l[s]+\",\"+(e[s]+a)+\" \"+(t[s]+r[s])+\",\"+(e[s]+a),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function F(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),a=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),i=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function h(t){var e=t.categoryInds.map((function(t,e){return a[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=h(e),a=h(r);return\"backward\"===t.sortpaths&&(n.reverse(),a.reverse()),n.push(e.valueInds[0]),a.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),a.unshift(r.rawColor)),n<a?-1:n>a?1:0}));for(var f=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=a[b][_],T=i[b];x[T]=n[T][w],n[T][w]+=m;var k=t.dimensions[T].categories[w],M=k.bands.length,A=k.bands[M-1];if(void 0===A||v.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:m,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[M-1];E.height+=m,E.count+=v.count}}y=\"hspline\"===t.pathShape?R(s,x,l,m,.5):R(s,x,l,m,0),f[g]={key:v.valueInds[0],model:v,height:m,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=f}function B(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var a=e[n].dimensionInd,i=t.model.dimensions[a];r.push(N(t,i))}t.dimensions=r}function N(t,e){var r,n=t.model.dimensions.length,a=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*a;var i,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),g=8*(h-f)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c<f;c++)l=m[c].categoryInd,o=e.categories[l],i=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:i,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+i+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){u(r,t,n,e)}},{\"../../components/drawing\":637,\"../../components/fx\":655,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plot_api/plot_api\":784,d3:169,tinycolor2:548}],1116:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,a){var i=t._fullLayout,o=i._paper,s=i._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,a)}},{\"./parcats\":1115}],1117:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/layout_attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:i({editType:\"plot\"}),tickfont:i({editType:\"plot\"}),rangefont:i({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},a.tickvals,{editType:\"plot\"}),ticktext:s({},a.ticktext,{editType:\"plot\"}),tickformat:s({},a.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/plot_template\":787,\"../../plots/cartesian/layout_attributes\":811,\"../../plots/domain\":824,\"../../plots/font_attributes\":825}],1118:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=n.bar.snapRatio;function c(t,e){return t*(1-l)+e*l}var u=n.bar.snapClose;function h(t,e){return t*(1-u)+e*u}function f(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var a=t?-1:1,i=0,o=e.length-1;if(a<0){var s=i;i=o,o=s}for(var l=e[i],u=l,f=i;a*f<a*o;f+=a){var p=f+a,d=e[p];if(a*r<a*h(l,d))return c(l,u);if(a*r<a*d||p===o)return c(d,l);u=l,l=d}}function p(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function d(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function g(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var e,r,n,a=m(t.brush.filter.getConsolidated(),t.height),i=[0],o=a.length?a[0][0]:null,s=0;s<a.length;s++)r=(e=a[s])[1]-e[0],i.push(o),i.push(r),(n=s+1)<a.length&&(o=a[n][0]-e[1]);return i.push(t.height),i}function m(t,e){return t.map((function(t){return t.map((function(t){return Math.max(0,t*e)})).sort(s)}))}function v(){a.select(document.body).style(\"cursor\",null)}function y(t){t.attr(\"stroke-dasharray\",g)}function x(t,e){var r=a.select(t).selectAll(\".highlight, .highlight-shadow\");y(e?r.transition().duration(n.bar.snapDuration).each(\"end\",e):r)}function b(t,e){var r,a=t.brush,i=NaN,o={};if(a.filterSpecified){var s=t.height,l=a.filter.getConsolidated(),c=m(l,s),u=NaN,h=NaN,f=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(h=r?r-1:NaN,p&&p[0]>e){f=r;break}}if(i=u,isNaN(i)&&(i=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]<c[f][0]-e?h:f),!isNaN(i)){var d=c[i],g=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return 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T(t){t.on(\"mousemove\",(function(t){a.event.preventDefault(),t.parent.inBrushDrag||w(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||v()})).call(a.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:i,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){_(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,i=r.svgBrush;i._dragging||(w(t,e),_(t,e),e.brush.svgBrush.wasDragged=!1),i._dragging=!1,a.event.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,e.parent.inBrushDrag=!1,v(),!i.wasDragged)return i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&e.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,0===i.extent.length&&M(r)):M(r),i.brushCallback(e),x(t.parentNode),void i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[f(0,l,i.newExtent[0],i.stayingIntervals),f(1,l,i.newExtent[1],i.stayingIntervals)];var c=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(c?[i.newExtent]:[]),i.extent.length||M(r),i.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function k(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function A(t){for(var e,r=t.slice(),n=[],a=r.shift();a;){for(e=a.slice();(a=r.shift())&&a[0]<=e[1];)e[1]=Math.max(e[1],a[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,a,i){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(k)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=A(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=a,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:i}}},ensureAxisBrush:function(t){var e=t.selectAll(\".\"+n.cn.axisBrush).data(o,i);e.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(p).call(d).style(\"pointer-events\",\"auto\").attr(\"transform\",\"translate(0 \"+n.verticalPadding+\")\"),e.call(T).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var r=t.selectAll(\".highlight-shadow\").data(o);r.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",n.bar.strokeColor).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),r.attr(\"y1\",(function(t){return t.height})).call(y);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?A(t.sort(k)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[f(0,r,t[0],[]),f(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":749,\"../../lib/gup\":746,\"./constants\":1121,d3:169}],1119:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/get_data\").getModuleCalcData,i=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=a(t.calcdata,\"parcoords\")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcoords\"),i=e._has&&e._has(\"parcoords\");a&&!i&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.width,height:this.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":725,\"../../plots/get_data\":834,\"./plot\":1128,d3:169}],1120:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../components/colorscale\"),i=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return a.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=a.extractOpts(e.line).colorscale,a.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),i({lineColor:r,cscale:o})}},{\"../../components/colorscale\":627,\"../../lib\":749,\"../../lib/gup\":746}],1121:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:\"white\",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],1122:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),h=t(\"./constants\").maxDimensionCount,f=t(\"./merge_length\");function p(t,e,r,a){function i(r,a){return n.coerce(t,e,c.dimensions,r,a)}var o=i(\"values\"),s=i(\"visible\");if(o&&o.length||(s=e.visible=!1),s){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var h=i(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:h},l.setConvert(e._ax,a.layout),i(\"multiselect\");var f=i(\"constraintrange\");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,c,r,a)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),d.splice(h));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),f(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":625,\"../../components/colorscale/helpers\":626,\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/axes\":797,\"../../plots/domain\":824,\"./attributes\":1117,\"./axisbrush\":1118,\"./constants\":1121,\"./merge_length\":1126}],1123:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":749}],1124:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1117,\"./base_plot\":1119,\"./calc\":1120,\"./defaults\":1122,\"./plot\":1128}],1125:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(mask,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,a){var i=t._gl;i.enable(i.SCISSOR_TEST),i.scissor(e,r,n,a),t.clear({color:[0,0,0,0],depth:1})}function f(t,e,r,n,a,i){var o=i.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,a-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,i.scissorX,i.scissorY,i.scissorWidth,i.viewBoxSize[1])),r.clearOnly||(i.count=2*c,i.offset=2*l*n,e(i),l*n+c<a&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),a=0,i=0;i<e;i++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*i+l];63===l&&0===o&&(c*=-1),n[a++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,a,i,o,l,c,u,h,f,p){for(var d=[[],[]],g=0;g<64;g++)d[0][g]=g===a?1:0,d[1][g]=g===i?1:0;var m=t.lines.canvasOverdrag,v=t.domain,y=t.canvasWidth,x=t.canvasHeight,b=t.deselectedLines.color;return s.extendFlat({key:h,resolution:[y,x],viewBoxPos:[o+m,l],viewBoxSize:[c,u],i0:a,i1:i,dim0A:d[0].slice(0,16),dim0B:d[0].slice(16,32),dim0C:d[0].slice(32,48),dim0D:d[0].slice(48,64),dim1A:d[1].slice(0,16),dim1B:d[1].slice(16,32),dim1C:d[1].slice(32,48),dim1D:d[1].slice(48,64),drwLayer:f,contextColor:[b[0]/255,b[1]/255,b[2]/255,b[3]<1?b[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+m)+(t.pad.l-m)+t.layoutWidth*v.x[0],scissorWidth:(n===r?y-o+m:c+.5)+(n===e?o+m:0),scissorY:l+t.pad.b+t.layoutHeight*v.y[0],scissorHeight:u,viewportX:t.pad.l-m+t.layoutWidth*v.x[0],viewportY:t.pad.b+t.layoutHeight*v.y[0],viewportWidth:y,viewportHeight:x},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var 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t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",h=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===h[s]){var f=i.constraintrange;h[s]=f||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),i.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete i.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(i));s[e].sort(n),l[e].filter((function(t){return!i(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":762,\"./helpers\":1123,\"./parcoords\":1127}],1129:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,i=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=i({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:a({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":614,\"../../lib/extend\":739,\"../../plots/attributes\":794,\"../../plots/domain\":824,\"../../plots/font_attributes\":825,\"../../plots/template_attributes\":875}],1130:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,a,i){n.plotBasePlot(r.name,t,e,a,i)},r.clean=function(t,e,a,i){n.cleanBasePlot(r.name,t,e,a,i)}},{\"../../plots/plots\":860}],1131:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"tinycolor2\"),i=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=a(e)).isValid()&&(e=i.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),i=e[n];if(!i){for(i=t.slice(),r=0;r<t.length;r++)i.push(a(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)i.push(a(t[r]).darken(20).toHexString());e[n]=i}return i}e.exports={calc:function(t,e){var r,a,i=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<f;r++){var y,x,b;if(p){if(y=h[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=i.length,(b=-1!==l.indexOf(x))||(m+=y),i.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(a=i[_]).v+=y,a.pts.push(r),a.hidden||(m+=y),!1===a.color&&u[r]&&(a.color=g(u[r],x)))}return(\"funnelarea\"===e.type?v:e.sort)&&i.sort((function(t,e){return e.v-t.v})),i[0]&&(i[0].vTotal=m),i},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,a=t.calcdata,i=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(i=l(i,o));for(var c=0,u=0;u<a.length;u++){var h=a[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=i[c%i.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":615,\"fast-isnumeric\":241,tinycolor2:548}],1132:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),i=a.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,i?e.length:1/0);if(isFinite(o)||(o=0),o&&i){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:i,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return a.coerce(t,e,i,r,n)}var u=l(c(\"labels\"),c(\"values\")),h=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),h){e._length=h,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var f,p=c(\"text\"),d=c(\"texttemplate\");if(d||(f=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||f&&\"none\"!==f){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),a.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":749,\"../../plots/domain\":824,\"../bar/defaults\":894,\"./attributes\":1129,\"fast-isnumeric\":241}],1133:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":651}],1134:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{\"../../lib\":749}],1135:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1129,\"./base_plot\":1130,\"./calc\":1131,\"./defaults\":1132,\"./layout_attributes\":1136,\"./layout_defaults\":1137,\"./plot\":1138,\"./style\":1139,\"./style_one\":1140}],1136:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1137:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":749,\"./layout_attributes\":1136}],1138:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/plots\"),i=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../bar/uniform_text\"),h=u.recordMinTextSize,f=u.clearMinTextSize,p=t(\"../bar/constants\").TEXTPAD,d=t(\"./helpers\"),g=t(\"./event_data\"),m=t(\"../../lib\").isValidTextValue;function v(t,e,r){var a=r[0],o=a.trace,s=a.cx,c=a.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var h=u.hoverinfo;if(Array.isArray(h)&&(h=i.castHoverinfo({hoverinfo:[d.castOption(h,t.pts)],_module:o._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var f=t.rInscribed||0,p=s+t.pxmid[0]*(1-f),m=c+t.pxmid[1]*(1-f),v=r.separators,y=[];if(h&&-1!==h.indexOf(\"label\")&&y.push(t.label),t.text=d.castOption(u.hovertext||u.text,t.pts),h&&-1!==h.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=d.formatPieValue(t.v,v),h&&-1!==h.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/a.vTotal,t.percentLabel=d.formatPiePercent(t.percent,v),h&&-1!==h.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;i.loneHover({trace:o,x0:p-f*a.r,x1:p+f*a.r,y:m,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==h.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:d.castOption(b.bgcolor,t.pts)||t.color,borderColor:d.castOption(b.bordercolor,t.pts),fontFamily:d.castOption(_.family,t.pts),fontSize:d.castOption(_.size,t.pts),fontColor:d.castOption(_.color,t.pts),nameLength:d.castOption(b.namelength,t.pts),textAlign:d.castOption(b.align,t.pts),hovertemplate:d.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[g(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[g(t,u)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,a=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[g(s,a)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(i.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,a=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[g(t,a)],i.click(e,n.event))}))}function y(t,e,r){var n=d.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=d.castOption(t._input.textfont.color,e.pts));var a=d.castOption(t.insidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.insidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:a,size:i}}function x(t,e){for(var r,n,a=0;a<t.length;a++)if((n=(r=t[a][0]).trace).title.text){var i=n.title.text;n._meta&&(i=l.templateString(i,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(i).call(s.font,n.title.font).call(c.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function b(t,e,r){var n=r.r||e.rpx1,a=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-a,scale:0,rotate:0,textPosAngle:0};var i,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,a){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(i=\"tan\"===a?w(t,n,o,c,0):_(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(i)}};if(h||f){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(h||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||h){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((i={scale:a*n*2/y,rCenter:1-a,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,i.scale>=1)return i;g.push(i)}(d||p)&&((i=_(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i)),(d||f)&&((i=w(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i));for(var x=0,b=0,T=0;T<g.length;T++){var k=g[T].scale;if(b<k&&(b=k,x=T),!d&&b>=1)break}return g[x]}function _(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.width/t.height,o=M(i,n,e,r);return{scale:2*o/t.height,rCenter:T(i,o/e),rotate:k(a)}}function w(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.height/t.width,o=M(i,n,e,r);return{scale:2*o/t.width,rCenter:T(i,o/e),rotate:k(a+Math.PI/2)}}function T(t,e){return Math.cos(e)-t*e}function k(t){return(180/Math.PI*t+720)%180-90}function M(t,e,r,n){var a=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(a*a+.5)+a),n/(Math.sqrt(t*t+n/2)+t))}function A(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function S(t,e){var r=e.pxmid[0],n=e.pxmid[1],a=t.width/2,i=t.height/2;return r<0&&(a*=-1),n<0&&(i*=-1),{scale:1,rCenter:1,rotate:0,x:a+Math.abs(i)*(a>0?1:-1)/2,y:i/(1+r*r/(n*n)),outside:!0}}function E(t,e){var r,n,a,i=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=i.title.font.size,a=L(i),-1!==i.title.position.indexOf(\"top\")?(o.y-=(1+a)*t.r,s.ty-=t.titleBox.height):-1!==i.title.position.indexOf(\"bottom\")&&(o.y+=(1+a)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(i.domain.x[1]-i.domain.x[0])/2;return-1!==i.title.position.indexOf(\"left\")?(h+=u,o.x-=(1+a)*u,s.tx+=t.titleBox.width/2):-1!==i.title.position.indexOf(\"center\")?h*=2:-1!==i.title.position.indexOf(\"right\")&&(h+=u,o.x+=(1+a)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=C(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function C(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function L(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function P(t,e){for(var r=[],n=0;n<t.length;n++){var a=t[n][0],i=a.trace,o=i.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);i.title.text&&\"middle center\"!==i.title.position&&(l-=C(a,e));var c=s/2,u=l/2;\"funnelarea\"!==i.type||i.scalegroup||(u/=i.aspectratio),a.r=Math.min(c,u)/(1+L(i)),a.cx=e.l+e.w*(i.domain.x[1]+i.domain.x[0])/2,a.cy=e.t+e.h*(1-i.domain.y[0])-l/2,i.title.text&&-1!==i.title.position.indexOf(\"bottom\")&&(a.cy-=C(a,e)),i.scalegroup&&-1===r.indexOf(i.scalegroup)&&r.push(i.scalegroup)}!function(t,e){for(var r,n,a,i=0;i<e.length;i++){var o=1/0,s=e[i];for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var l;if(\"pie\"===a.type)l=r.r*r.r;else if(\"funnelarea\"===a.type){var c,u;a.aspectratio>1?(c=r.r,u=c/a.aspectratio):(u=r.r,c=u*a.aspectratio),c*=(1+a.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===a.type&&(h/=(1+a.baseratio)/2,h/=a.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function I(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,a=r.trace,i=a.texttemplate,o=a.textinfo;if(!i&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),p=u(\"value\"),g=u(\"percent\"),v=n.separators;if(s=h?[e.label]:[],f){var y=d.getFirstFilled(a.text,e.pts);m(y)&&s.push(y)}p&&s.push(d.formatPieValue(e.v,v)),g&&s.push(d.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(i){var x=l.castOption(a,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:d.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:d.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(a,t.i,\"customdata\")}}(e),_=d.getFirstFilled(a.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,a._meta||{})}else e.text=\"\"}}function O(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),a=Math.sin(r),i=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=i*n-o*a,t.textY=i*a+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,i=r._size;f(\"pie\",r),x(e,t),P(e,i);var u=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var u=n.select(this),f=e[0],p=f.trace;!function(t){var e,r,n,a=t[0],i=a.r,o=a.trace,s=o.rotation*Math.PI/180,l=2*Math.PI/a.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=I(i,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=I(i,s),r.midangle=s,s+=l*r.v/2,n=I(i,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>a.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/a.vTotal,.5),r.ring=1-o.hole,r.rInscribed=A(r,a))}(e),u.attr(\"stroke-linejoin\",\"round\"),u.each((function(){var g=n.select(this).selectAll(\"g.slice\").data(e);g.enter().append(\"g\").classed(\"slice\",!0),g.exit().remove();var m=[[[],[]],[[],[]]],x=!1;g.each((function(a,i){if(a.hidden)n.select(this).selectAll(\"path,g\").remove();else{a.pointNumber=a.i,a.curveNumber=p.index,m[a.pxmid[1]<0?0:1][a.pxmid[0]<0?0:1].push(a);var o=f.cx,u=f.cy,g=n.select(this),_=g.selectAll(\"path.surface\").data([a]);if(_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),g.call(v,t,e),p.pull){var w=+d.castOption(p.pull,a.pts)||0;w>0&&(o+=w*a.pxmid[0],u+=w*a.pxmid[1])}a.cxFinal=o,a.cyFinal=u;var T=p.hole;if(a.v===f.vTotal){var k=\"M\"+(o+a.px0[0])+\",\"+(u+a.px0[1])+L(a.px0,a.pxmid,!0,1)+L(a.pxmid,a.px0,!0,1)+\"Z\";T?_.attr(\"d\",\"M\"+(o+T*a.px0[0])+\",\"+(u+T*a.px0[1])+L(a.px0,a.pxmid,!1,T)+L(a.pxmid,a.px0,!1,T)+\"Z\"+k):_.attr(\"d\",k)}else{var M=L(a.px0,a.px1,!0,1);if(T){var A=1-T;_.attr(\"d\",\"M\"+(o+T*a.px1[0])+\",\"+(u+T*a.px1[1])+L(a.px1,a.px0,!1,T)+\"l\"+A*a.px0[0]+\",\"+A*a.px0[1]+M+\"Z\")}else _.attr(\"d\",\"M\"+o+\",\"+u+\"l\"+a.px0[0]+\",\"+a.px0[1]+M+\"Z\")}z(t,a,f);var E=d.castOption(p.textposition,a.pts),C=g.selectAll(\"g.slicetext\").data(a.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var g=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),m=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){var n=d.castOption(t.outsidetextfont.color,e.pts)||d.castOption(t.textfont.color,e.pts)||r.color,a=d.castOption(t.outsidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.outsidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:a,size:i}}(p,a,r.font):y(p,a,r.font));g.text(a.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m).call(c.convertToTspans,t);var v,_=s.bBox(g.node());if(\"outside\"===E)v=S(_,a);else if(v=b(_,a,f),\"auto\"===E&&v.scale<1){var w=l.ensureUniformFontSize(t,p.outsidetextfont);g.call(s.font,w),v=S(_=s.bBox(g.node()),a)}var T=v.textPosAngle,k=void 0===T?a.pxmid:I(f.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=u+k[1]*v.rCenter+(v.y||0),O(v,_),v.outside){var M=v.targetY;a.yLabelMin=M-_.height/2,a.yLabelMid=M,a.yLabelMax=M+_.height/2,a.labelExtraX=0,a.labelExtraY=0,x=!0}v.fontSize=m.size,h(p.type,v,r),e[i].transform=v,g.attr(\"transform\",l.getTextTransform(v))}))}function L(t,e,r,n){var i=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*f.r+\",\"+n*f.r+\" 0 \"+a.largeArc+(r?\" 1 \":\" 0 \")+i+\",\"+o}}));var _=n.select(this).selectAll(\"g.titletext\").data(p.title.text?[0]:[]);if(_.enter().append(\"g\").classed(\"titletext\",!0),_.exit().remove(),_.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),a=p.title.text;p._meta&&(a=l.templateString(a,p._meta)),r.text(a).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,p.title.font).call(c.convertToTspans,t),e=\"middle center\"===p.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(f):E(f,i),r.attr(\"transform\",\"translate(\"+e.x+\",\"+e.y+\")\"+(e.scale<1?\"scale(\"+e.scale+\")\":\"\")+\"translate(\"+e.tx+\",\"+e.ty+\")\")})),x&&function(t,e){var r,n,a,i,o,s,l,c,u,h,f,p,g;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var a,c,u,f,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),g=n?t.yLabelMin:t.yLabelMax,m=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-g;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<h.length;c++)(u=h[c])===t||(d.castOption(e.pull,t.pts)||0)>=(d.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-g-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(m+t.labelExtraY-v)*l>0&&(a=3*s*Math.abs(c-h.indexOf(t)),(f=u.cxFinal+i(u.px0[0],u.px1[0])+a-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=f)))}for(n=0;n<2;n++)for(a=n?m:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(i=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(a),u=t[1-n][r],h=u.concat(c),p=[],f=0;f<c.length;f++)void 0!==c[f].yLabelMid&&p.push(c[f]);for(g=!1,f=0;n&&f<u.length;f++)if(void 0!==u[f].yLabelMid){g=u[f];break}for(f=0;f<p.length;f++){var x=f&&p[f-1];g&&!f&&(x=g),y(p[f],x)}}}(m,p),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var a=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,a.attr(\"transform\",l.getTextTransform(t.transform));var i=t.cxFinal+t.pxmid[0],s=\"M\"+i+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],h=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(h)?s+=\"l\"+h*t.pxmid[0]/t.pxmid[1]+\",\"+h+\"H\"+(i+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(h-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(g,p),x&&p.automargin){var w=s.bBox(u.node()),T=p.domain,k=i.w*(T.x[1]-T.x[0]),M=i.h*(T.y[1]-T.y[0]),A=(.5*k-f.r)/i.w,C=(.5*M-f.r)/i.h;a.autoMargin(t,\"pie.\"+p.uid+\".automargin\",{xl:T.x[0]-A,xr:T.x[1]+A,yb:T.y[0]-C,yt:T.y[1]+C,l:Math.max(f.cx-f.r-w.left,0),r:Math.max(w.right-(f.cx+f.r),0),b:Math.max(w.bottom-(f.cy+f.r),0),t:Math.max(f.cy-f.r-w.top,0),pad:5})}}))}));setTimeout((function(){u.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:z,transformInsideText:b,determineInsideTextFont:y,positionTitleOutside:E,prerenderTitles:x,layoutAreas:P,attachFxHandlers:v,computeTransform:O}},{\"../../components/color\":615,\"../../components/drawing\":637,\"../../components/fx\":655,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plots/plots\":860,\"../bar/constants\":892,\"../bar/uniform_text\":906,\"./event_data\":1133,\"./helpers\":1134,d3:169}],1139:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"./style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");i(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(a,t,e)}))}))}},{\"../bar/uniform_text\":906,\"./style_one\":1140,d3:169}],1140:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"./helpers\").castOption;e.exports=function(t,e,r){var i=r.marker.line,o=a(i.color,e.pts)||n.defaultLine,s=a(i.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":615,\"./helpers\":1134}],1141:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":1155}],1142:[function(t,e,r){\"use strict\";var n=t(\"gl-pointcloud2d\"),a=t(\"../../lib/str2rgbarray\"),i=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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t.pointNumber})).nodes(y).links(x);var _,w,T,k=a();for(var M in a.nodePadding()<p&&h.warn(\"node.pad was reduced to \",a.nodePadding(),\" to fit within the figure.\"),o._groupLookup){var A,S=parseInt(o._groupLookup[M]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){A=k.nodes[_];break}if(A){var E={pointNumber:parseInt(M),x0:A.x0,x1:A.x1,y0:A.y0,y1:A.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),A.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var a=Object.keys(n);for(w=0;w<a.length;w++){var o=n[t=a[w]],s=0,l={};for(T=0;T<o.length;T++)l[(e=o[T]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(T=0;T<o.length;T++)(e=o[T]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=i(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<r.sourceLinks.length;w++)c+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/c;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),s.node.x.length&&s.node.y.length){for(_=0;_<Math.min(s.node.x.length,s.node.y.length,k.nodes.length);_++)if(s.node.x[_]&&s.node.y[_]){var C=[s.node.x[_]*m,s.node.y[_]*v];k.nodes[_].x0=C[0]-d/2,k.nodes[_].x1=C[0]+d/2;var L=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=C[1]-L/2,k.nodes[_].y1=C[1]+L/2}if(\"snap\"===s.arrangement)!function(t){t.forEach((function(t){var e,r,n,a=0,i=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<i;++n)(e=t[n]).y0>=a||(r=a-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),a=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),a=[],i=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(i+=1,e=s.x0),o=s.x0,a[i]||(a[i]=[]),a[i].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return a}(y=k.nodes));a.update(k)}return{circular:b,key:r,trace:s,guid:h.randstr(),horizontal:f,width:m,height:v,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?v:m,dragPerpendicular:f?m:v,arrangement:s.arrangement,sankey:a,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function x(t,e,r){var n=i(e.color),a=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:b,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function b(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,i=t.link.target.x0,o=m(a,i),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,f=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+c+\"C\"+s+\",\"+c+\" \"+l+\",\"+h+\" \"+i+\",\"+h+\"L\"+i+\",\"+f+\"C\"+l+\",\"+f+\" \"+s+\",\"+u+\" \"+a+\",\"+u+\"Z\"}}function _(t,e){var r=i(e.color),a=n.nodePadAcross,s=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var l=e.dx,c=Math.max(.5,e.dy),u=\"node_\"+e.pointNumber;return e.group&&(u=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:u,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(l),visibleHeight:c,zoneX:-a,zoneY:-s,zoneWidth:l+2*a,zoneHeight:c+2*s,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:o.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,u].join(\"_\"),interactionState:t.interactionState,figure:t}}function w(t){t.attr(\"transform\",(function(t){return\"translate(\"+t.node.x0.toFixed(3)+\", \"+t.node.y0.toFixed(3)+\")\"}))}function T(t){t.call(w)}function k(t,e){t.call(T),e.attr(\"d\",b())}function M(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function A(t){return t.link.width>1||t.linkLineWidth>0}function S(t){return\"translate(\"+t.translateX+\",\"+t.translateY+\")\"+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function E(t){return\"translate(\"+(t.horizontal?0:t.labelY)+\" \"+(t.horizontal?t.labelY:0)+\")\"}function C(t){return a.svg.line()([[t.horizontal?t.left?-t.sizeAcross:t.visibleWidth+n.nodeTextOffsetHorizontal:n.nodeTextOffsetHorizontal,0],[t.horizontal?t.left?-n.nodeTextOffsetHorizontal:t.sizeAcross:t.visibleHeight-n.nodeTextOffsetHorizontal,0]])}function L(t){return t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\"}function P(t){return t.horizontal?\"scale(1 1)\":\"scale(-1 1)\"}function I(t){return t.darkBackground&&!t.horizontal?\"rgb(255,255,255)\":\"rgb(0,0,0)\"}function z(t){return t.horizontal&&t.left?\"100%\":\"0%\"}function O(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,a){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var i=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=u.forceSimulation(i).alphaDecay(0).force(\"collide\",u.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(n.forceIterations)).force(\"constrain\",function(t,e,r,a){return function(){for(var t=0,i=0;i<r.length;i++){var o=r[i];o===a.interactionState.dragInProgress?(o.x=o.lastDraggedX,o.y=o.lastDraggedY):(o.vx=(o.originalX-o.x)/n.forceTicksPerFrame,o.y=Math.min(a.size-o.dy/2,Math.max(o.dy/2,o.y))),t=Math.max(t,Math.abs(o.vx),Math.abs(o.vy))}!a.interactionState.dragInProgress&&t<.1&&a.forceLayouts[e].alpha()>0&&a.forceLayouts[e].alpha(0)}}(0,e,i,r)).stop()}(0,o,a),function(t,e,r,a,i){window.requestAnimationFrame((function o(){var s;for(s=0;s<n.forceTicksPerFrame;s++)r.forceLayouts[a].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),k(t.filter(B(r)),e),r.forceLayouts[a].alpha()>0)window.requestAnimationFrame(o);else{var l=r.node.originalX;r.node.x0=l-r.visibleWidth/2,r.node.x1=l+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=a.event.x,i=a.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),k(t.filter(B(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&R(t,i)}}));t.on(\".drag\",null).call(o)}function R(t,e){for(var r=[],n=[],a=0;a<t.graph.nodes.length;a++){var i=(t.graph.nodes[a].x0+t.graph.nodes[a].x1)/2,o=(t.graph.nodes[a].y0+t.graph.nodes[a].y1)/2;r.push(i/t.figure.width),n.push(o/t.figure.height)}v.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,l,c){var u=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){u=!0}));var f=t._fullLayout._dragCover,m=r.filter((function(t){return g(t).trace.visible})).map(y.bind(null,l)),v=e.selectAll(\".\"+n.cn.sankey).data(m,p);v.exit().remove(),v.enter().append(\"g\").classed(n.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",S),v.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),v.transition().ease(n.ease).duration(n.duration).attr(\"transform\",S);var T=v.selectAll(\".\"+n.cn.sankeyLinks).data(d,p);T.enter().append(\"g\").classed(n.cn.sankeyLinks,!0).style(\"fill\",\"none\");var k=T.selectAll(\".\"+n.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(x.bind(null,t))}),p);k.enter().append(\"path\").classed(n.cn.sankeyLink,!0).call(O,v,c.linkEvents),k.style(\"stroke\",(function(t){return A(t)?o.tinyRGB(i(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return A(t)?o.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return A(t)?t.linkLineWidth:1})).attr(\"d\",b()),k.style(\"opacity\",(function(){return t._context.staticPlot||u||f?1:0})).transition().ease(n.ease).duration(n.duration).style(\"opacity\",1),k.exit().transition().ease(n.ease).duration(n.duration).style(\"opacity\",0).remove();var R=v.selectAll(\".\"+n.cn.sankeyNodeSet).data(d,p);R.enter().append(\"g\").classed(n.cn.sankeyNodeSet,!0),R.style(\"cursor\",(function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}}));var F=R.selectAll(\".\"+n.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(_.bind(null,t))}),p);F.enter().append(\"g\").classed(n.cn.sankeyNode,!0).call(w).style(\"opacity\",(function(e){return!t._context.staticPlot&&!u||e.partOfGroup?0:1})),F.call(O,v,c.nodeEvents).call(D,k,c,t),F.transition().ease(n.ease).duration(n.duration).call(w).style(\"opacity\",(function(t){return 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i}(t,e,h,u)){h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),i.hasLines(e)&&(h(\"connectgaps\"),s(t,e,r,u,h)),i.hasMarkers(e)&&o(t,e,r,u,h,{noSelect:!0}),i.hasText(e)&&(h(\"texttemplate\"),l(t,e,u,h,{noSelect:!0}));var f=(e.line||{}).color,p=(e.marker||{}).color;h(\"surfaceaxis\")>=0&&h(\"surfacecolor\",f||p);for(var d=[\"x\",\"y\",\"z\"],g=0;g<3;++g){var m=\"projection.\"+d[g];h(m+\".show\")&&(h(m+\".opacity\"),h(m+\".scale\"))}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,f||p||r,{axis:\"z\"}),v(t,e,f||p||r,{axis:\"y\",inherit:\"z\"}),v(t,e,f||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1182}],1187:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,h=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:h.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},a.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:i()}},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875,\"../scatter/attributes\":1155}],1189:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"../scatter/constants\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function p(r,a){return n.coerce(t,e,h,r,a)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<a.PTS_LINESONLY?\"lines+markers\":\"lines\"),i.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p(\"connectgaps\")),i.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),i.hasText(e)&&c(t,e,f,p);var v=[];(i.hasMarkers(e)||i.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),i.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":749,\"../scatter/constants\":1159,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/line_shape_defaults\":1170,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1188}],1191:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){var i=n[a];return t.a=i.a,t.b=i.b,t.y=i.y,t}},{}],1192:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,a=n.ab2ij([t.a,t.b]),i=Math.floor(a[0]),o=a[0]-i,s=Math.floor(a[1]),l=a[1]-s,c=n.evalxy([],i,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1193:[function(t,e,r){\"use 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strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scattercarpet\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"svg\",\"carpet\",\"symbols\",\"showLegend\",\"carpetDependent\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":810,\"../scatter/marker_colorbar\":1173,\"../scatter/select\":1176,\"../scatter/style\":1178,\"./attributes\":1188,\"./calc\":1189,\"./defaults\":1190,\"./event_data\":1191,\"./format_labels\":1192,\"./hover\":1193,\"./plot\":1195}],1195:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../components/drawing\");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,h={xaxis:a.getFromId(t,u.xaxis||\"x\"),yaxis:a.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,h,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),i.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":637,\"../../plots/cartesian/axes\":797,\"../scatter/plot\":1175}],1196:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,h=i.marker,f=i.line,p=h.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),i=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function h(r,a){return n.coerce(t,e,c,r,a)}var f,p=h(\"locations\");if(p&&p.length){var d,g=h(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===h(\"locationmode\",d)&&h(\"featureidkey\"),f=p.length}else{var m=h(\"lon\")||[],v=h(\"lat\")||[];f=Math.min(m.length,v.length)}f?(e._length=f,h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),a.hasLines(e)&&(o(t,e,r,u,h),h(\"connectgaps\")),a.hasMarkers(e)&&i(t,e,r,u,h,{gradient:!0}),a.hasText(e)&&(h(\"texttemplate\"),s(t,e,u,h)),h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)):e.visible=!1}},{\"../../lib\":749,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"./attributes\":1196}],1199:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var i=n[a];return i.fIn&&i.fIn.properties&&(t.properties=i.fIn.properties),t}},{}],1200:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var a={},i=r[e.geo]._subplot.mockAxis,o=t.lonlat;return 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t.lonLabel=b.lonLabel,t.latLabel=b.latLabel,t.color=i(c,g),t.extraText=function(t,e,r,n){if(t.hovertemplate)return;var a=e.hi||t.hoverinfo,i=\"all\"===a?s.hoverinfo.flags:a.split(\"+\"),l=-1!==i.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==i.indexOf(\"lon\"),u=-1!==i.indexOf(\"lat\"),h=-1!==i.indexOf(\"text\"),f=[];function p(t){return t+\"\\xb0\"}l?f.push(e.loc):c&&u?f.push(\"(\"+p(r.lonLabel)+\", \"+p(r.latLabel)+\")\"):c?f.push(n.lon+p(r.lonLabel)):u&&f.push(n.lat+p(r.latLabel));h&&o(e,t,f);return f.join(\"<br>\")}(c,g,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":655,\"../../constants/numerical\":724,\"../../lib\":749,\"../scatter/get_trace_color\":1165,\"./attributes\":1196}],1202:[function(t,e,r){\"use 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n=t(\"../../plots/attributes\"),a=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=t(\"../../plot_api/edit_types\").overrideAll,l=t(\"./constants\").DASHES,c=a.line,u=a.marker,h=u.line,f=e.exports=s({x:a.x,x0:a.x0,dx:a.dx,y:a.y,y0:a.y0,dy:a.dy,text:a.text,hovertext:a.hovertext,textposition:a.textposition,textfont:a.textfont,mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"]},line:{color:c.color,width:c.width,shape:{valType:\"enumerated\",values:[\"linear\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},dash:{valType:\"enumerated\",values:Object.keys(l),dflt:\"solid\"}},marker:o({},i(\"marker\"),{symbol:u.symbol,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,opacity:u.opacity,colorbar:u.colorbar,line:o({},i(\"marker.line\"),{width:h.width})}),connectgaps:a.connectgaps,fill:o({},a.fill,{dflt:\"none\"}),fillcolor:a.fillcolor,selected:{marker:a.selected.marker,textfont:a.selected.textfont},unselected:{marker:a.unselected.marker,textfont:a.unselected.textfont},opacity:n.opacity},\"calc\",\"nested\");f.x.editType=f.y.editType=f.x0.editType=f.y0.editType=\"calc+clearAxisTypes\",f.hovertemplate=a.hovertemplate,f.texttemplate=a.texttemplate},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../scatter/attributes\":1155,\"./constants\":1208}],1207:[function(t,e,r){\"use 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n;if(h.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),h.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(h.hasLines(e)){n.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var i=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<i.length;++r)i[r]*=e.line.width;n.line.dashes=i}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,a,i=r.length,o=i/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a+2],r[2*a+1]));n.push(r[i-2],r[i-1])}else if(\"hvh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var s=(r[2*a]+r[2*a+2])/2;n.push(r[2*a],r[2*a+1],s,r[2*a+1],s,r[2*a+3])}n.push(r[i-2],r[i-1])}else if(\"vhv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var l=(r[2*a+1]+r[2*a+3])/2;n.push(r[2*a],r[2*a+1],r[2*a],l,r[2*a+2],l)}n.push(r[i-2],r[i-1])}else if(\"vh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+3]));n.push(r[i-2],r[i-1])}else n=r;var c=!1;for(a=0;a<n.length;a++)if(isNaN(n[a])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var f=n[0],p=n[1];for(a=0;a<n.length;a+=2)isNaN(n[a])||isNaN(n[a+1])?(n[a]=f,n[a+1]=p):(f=n[a],p=n[a+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,a,i){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),h=r.length/2,f={};function p(t,a){var i=a._id.charAt(0),o=e[\"error_\"+i];if(o&&o.visible&&(\"linear\"===a.type||\"log\"===a.type)){for(var l=s(o),c={x:0,y:1}[i],u={x:[0,1,2,3],y:[2,3,0,1]}[i],p=new Float64Array(4*h),d=1/0,g=-1/0,m=0,v=0;m<h;m++,v+=4){var y=t[m];if(n(y)){var x=r[2*m+c],b=l(y,m),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-a.c2l(T),p[v+u[1]]=a.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}f[i]={positions:r,errors:p,_bnds:[d,g]}}}return p(a,l),p(i,u),f},textPosition:function(t,e,r,n){var a,i=e._length,o={};if(h.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(i),a=0;a<i;a++){var u=n.sizes?n.sizes[a]:n.size,f=Array.isArray(s)?s[a].size:s.size,p=Array.isArray(l)?l.length>1?l[a]:l[0]:l,d=Array.isArray(c)?c.length>1?c[a]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[a]=[g*y/f,x/f]}}return o}}},{\"../../components/drawing\":637,\"../../components/fx/helpers\":651,\"../../constants/interactions\":723,\"../../lib\":749,\"../../lib/gl_format_color\":745,\"../../plots/cartesian/axis_ids\":800,\"../../registry\":880,\"../scatter/make_bubble_size_func\":1172,\"../scatter/subtypes\":1179,\"./constants\":1208,\"./helpers\":1213,\"color-normalize\":125,\"fast-isnumeric\":241,\"svg-path-sdf\":546}],1210:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\"),i=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),f=t(\"../scatter/fillcolor_defaults\"),p=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,d){function g(r,a){return n.coerce(t,e,o,r,a)}var m=!!t.marker&&i.isOpenSymbol(t.marker.symbol),v=l.isBubble(t),y=c(t,e,d,g);if(y){var x=y<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",x),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,d,g),g(\"line.shape\")),l.hasMarkers(e)&&(u(t,e,r,d,g),g(\"marker.line.width\",m||v?1:0)),l.hasText(e)&&(g(\"texttemplate\"),p(t,e,d,g));var b=(e.line||{}).color,_=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&f(t,e,r,g);var w=a.getComponentMethod(\"errorbars\",\"supplyDefaults\");w(t,e,b||_||r,{axis:\"y\"}),w(t,e,b||_||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/constants\":1159,\"../scatter/fillcolor_defaults\":1163,\"../scatter/line_defaults\":1168,\"../scatter/marker_defaults\":1174,\"../scatter/subtypes\":1179,\"../scatter/text_defaults\":1180,\"../scatter/xy_defaults\":1181,\"./attributes\":1206,\"./helpers\":1213}],1211:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(h.length||f.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var _=b?x[r]:x;m.color[r]=y||(v?_:a.addOpacity(_,i))}}c.glText[u].update(m)}}},{\"../../components/color\":615,\"../../constants/interactions\":723,\"../../lib\":749}],1212:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var a=t.i;return\"x\"in t||(t.x=e._x[a]),\"y\"in t||(t.y=e._y[a]),n(t,e,r)}},{\"../scatter/format_labels\":1164}],1213:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1208}],1214:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=Array.isArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=a.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=Array.isArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family);var d=o.marker;d&&(f.ms=a.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=a.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=a.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.mc=a.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var g=d&&d.line;g&&(f.mlc=Array.isArray(g.color)?g.color[h]:g.color,f.mlw=a.isArrayOrTypedArray(g.width)?g.width[h]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(f.mgt=Array.isArray(m.type)?m.type[h]:m.type,f.mgc=Array.isArray(m.color)?m.color[h]:m.color);var v=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=a.isArrayOrTypedArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=a.isArrayOrTypedArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var T={};T[t.index]=f;var k=a.extendFlat({},t,{color:i(o,f),x0:v-x,x1:v+x,xLabelVal:f.x,y0:y-x,y1:y+x,yLabelVal:f.y,cd:T,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?k.text=f.htx:f.tx?k.text=f.tx:o.text&&(k.text=o.text),a.fillText(f,o,k),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,k),k}e.exports={hoverPoints:function(t,e,r,n){var a,i,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,m=d[0].trace,v=t.xa,y=t.ya,x=g.x,b=g.y,_=v.c2p(e),w=y.c2p(r),T=t.distance;if(g.tree){var k=v.p2c(_-T),M=v.p2c(_+T),A=y.p2c(w-T),S=y.p2c(w+T);a=\"x\"===n?g.tree.range(Math.min(k,M),Math.min(y._rl[0],y._rl[1]),Math.max(k,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(k,M),Math.min(A,S),Math.max(k,M),Math.max(A,S))}else a=g.ids;var E=T;if(\"x\"===n)for(c=0;c<a.length;c++)s=x[a[c]],(u=Math.abs(v.c2p(s)-_))<E&&(E=u,h=y.c2p(b[a[c]])-w,p=Math.sqrt(u*u+h*h),i=a[c]);else for(c=a.length-1;c>-1;c--)s=x[a[c]],l=b[a[c]],u=v.c2p(s)-_,h=y.c2p(l)-w,(f=Math.sqrt(u*u+h*h))<E&&(E=p=f,i=a[c]);return t.index=i,t.distance=E,t.dxy=p,void 0===i?[t]:[o(t,x,b,m)]},calcHover:o}},{\"../../lib\":749,\"../../registry\":880,\"../scatter/get_trace_color\":1165}],1215:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":810,\"../scatter/cross_trace_defaults\":1161,\"../scatter/marker_colorbar\":1173,\"./attributes\":1206,\"./calc\":1207,\"./defaults\":1210,\"./format_labels\":1212,\"./hover\":1214,\"./plot\":1216,\"./select\":1218}],1216:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"regl-line2d\"),i=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),h=t(\"../scatter/link_traces\"),f=t(\"./edit_style\").styleTextSelection;function p(t,e,r){var n=t._size,a=t.width,i=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,a-n.r-(1-e.domain[1])*n.w,i-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(h(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=i(_)),!0===v.line2d&&(v.line2d=a(_)),!0===v.scatter2d&&(v.scatter2d=n(_,{constPointSize:!0})),!0===v.fill2d&&(v.fill2d=a(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var a,i,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if(\"tozerox\"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],a=0,i=0;i<d.length;i+=2)(isNaN(d[i])||isNaN(d[i+1]))&&((p=p.concat(d.slice(a,i))).push(d[a],d[a+1]),a=i+2);p=p.concat(d.slice(a)),a&&p.push(d[a],d[a+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[a=w];for(i=0;i<_.length;i+=2)(isNaN(_[i])||isNaN(_[i+1]))&&(T.push(i/2+w+1),a=i+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var M=m.dragmode,A=l(M),S=m.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],C=E.trace,L=E.t,P=L.index,I=C._length,z=L.x,O=L.y;if(C.selectedpoints||A||S){if(A||(A=!0),C.selectedpoints){var D=v.selectBatch[P]=s.selIndices2selPoints(C),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<I;g++)R[g]||F.push(g);v.unselectBatch[P]=F}var B=L.xpx=new Array(I),N=L.ypx=new Array(I);for(g=0;g<I;g++)B[g]=y.c2p(z[g]),N[g]=x.c2p(O[g])}else L.xpx=L.ypx=null}if(A){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&f(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":633,\"../../lib\":749,\"../../lib/prepare_regl\":762,\"../scatter/link_traces\":1171,\"../scatter/subtypes\":1179,\"./edit_style\":1211,\"gl-text\":326,\"regl-error2d\":508,\"regl-line2d\":509,\"regl-scatter2d\":510}],1217:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,a={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},i={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,i,a)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var a=0;a<r.count;a++)r.glText[a].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,a=r.error2d,i=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),i&&r.lineOptions[h]&&i.draw(h),a&&(r.errorXOptions[h]&&a.draw(h),r.errorYOptions[h]&&a.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll,f=i.line,p=i.marker;e.exports=h({lon:i.lon,lat:i.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:a({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:f.color,width:f.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:i.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/mapbox/layout_attributes\":856,\"../../plots/template_attributes\":875,\"../scatter/attributes\":1155,\"../scattergeo/attributes\":1196}],1220:[function(t,e,r){\"use 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n=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../pie/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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M={};u.label&&(M.label=u.label),u.hasOwnProperty(\"v\")&&(M.value=u.v,M.valueLabel=y.formatValue(u.v,l)),M.currentPath=y.getPath(t.data),f||(M.percentParent=d/y.getValue(p),M.percentParentLabel=y.formatPercent(M.percentParent,l),M.parent=y.getPtLabel(p)),M.percentEntry=d/y.getValue(e),M.percentEntryLabel=y.formatPercent(M.percentEntry,l),M.entry=y.getPtLabel(e),M.percentRoot=d/y.getValue(h),M.percentRootLabel=y.formatPercent(M.percentRoot,l),M.root=y.getPtLabel(h),u.hasOwnProperty(\"color\")&&(M.color=u.color);var A=o.castOption(r,u.i,\"text\");return(o.isValidTextValue(A)||\"\"===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,\"customdata\"),o.texttemplateString(k,M,a._d3locale,M,r._meta||{})}},{\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../bar/style\":904,\"../bar/uniform_text\":906,\"../pie/plot\":1138,\"./constants\":1269,\"./fx\":1271,\"./helpers\":1272,\"./style\":1277,d3:169,\"d3-hierarchy\":161}],1277:[function(t,e,r){\"use 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n=t(\"../../components/color\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var u=e.exports=l(s({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:i(),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},a(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:s({},a.zauto,{}),zmin:s({},a.zmin,{}),zmax:s({},a.zmax,{})},hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");u.x.editType=u.y.editType=u.z.editType=\"calc+clearAxisTypes\",u.transforms=void 0},{\"../../components/color\":615,\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/template_attributes\":875}],1279:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":623}],1280:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),a=t(\"ndarray\"),i=t(\"ndarray-linear-interpolate\").d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),h=t(\"../../components/colorscale\").extractOpts;function f(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=f.prototype;p.getXat=function(t,e,r,n){var a=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?a:n.d2l(a,0,r)},p.getYat=function(t,e,r,n){var a=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?a:n.d2l(a,0,r)},p.getZat=function(t,e,r,n){var a=this.data.z[e][t];return null===a&&this.data.connectgaps&&this.data._interpolatedZ&&(a=this.data._interpolatedZ[e][t]),void 0===r?a:n.d2l(a,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),a=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,a],t.traceCoordinate=[this.getXat(n,a),this.getYat(n,a),this.getZat(n,a)],t.dataCoordinate=[this.getXat(n,a,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,a,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,a,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var i=0;i<3;i++){var o=t.dataCoordinate[i];null!=o&&(t.dataCoordinate[i]*=this.scene.dataScale[i])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[a]&&void 0!==s[a][n]?t.textLabel=s[a][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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g(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(g(t,n))}return e}function v(t){for(var e=m(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),a=1,i=0;i<d.length;i++)a*=Math.pow(d[i],Math.max(r[i],n[i]));return a}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),a=this.getXat(e,0);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),a=this.getYat(0,e);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var a=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(a,[l,c],n),t.set(l,c,i(e,a[0],a[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],i=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+i+1,u=a(new Float32Array(l*c),[l,c]),h=[1/e,0,0,0,1/r,0,0,0,1],f=0;f<t.length;++f){this.surface.padField(u,t[f]);var p=a(new Float32Array(o*s),[o,s]);T(p,u,h),t[f]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],a=[!1,!1,!1],i=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(i=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(a[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(i){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=a[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,i,l=this.scene,f=l.fullSceneLayout,p=this.surface,d=t.opacity,g=c(t,d),m=l.dataScale,v=t.z[0].length,y=t._ylength,x=l.contourLevels;this.data=t;var b=[];for(e=0;e<3;e++)for(b[e]=[],r=0;r<v;r++)b[e][r]=[];for(r=0;r<v;r++)for(n=0;n<y;n++)b[0][r][n]=this.getXat(r,n,t.xcalendar,f.xaxis),b[1][r][n]=this.getYat(r,n,t.ycalendar,f.yaxis),b[2][r][n]=this.getZat(r,n,t.zcalendar,f.zaxis);if(t.connectgaps)for(t._emptypoints=s(b[2]),o(b[2],t._emptypoints),t._interpolatedZ=[],r=0;r<v;r++)for(t._interpolatedZ[r]=[],n=0;n<y;n++)t._interpolatedZ[r][n]=b[2][r][n];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null==(i=b[e][r][n])?b[e][r][n]=NaN:i=b[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null!=(i=b[e][r][n])&&(this.minValues[e]>i&&(this.minValues[e]=i),this.maxValues[e]<i&&(this.maxValues[e]=i));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)null!=(i=b[e][r][n])&&(b[e][r][n]-=this.objectOffset[e]);var w=[a(new Float32Array(v*y),[v,y]),a(new Float32Array(v*y),[v,y]),a(new Float32Array(v*y),[v,y])];for(e=0;e<3;e++)for(r=0;r<v;r++)for(n=0;n<y;n++)w[e].set(r,n,b[e][r][n]);b=[];var T={colormap:g,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},k=h(t);if(T.intensityBounds=[k.min,k.max],t.surfacecolor){var M=a(new Float32Array(v*y),[v,y]);for(r=0;r<v;r++)for(n=0;n<y;n++)M.set(r,n,t.surfacecolor[n][r]);w.push(M)}else T.intensityBounds[0]*=m[2],T.intensityBounds[1]*=m[2];(_<w[0].shape[0]||_<w[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(w[0].shape[0],0),this.dataScaleY=this.estimateScale(w[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(w)),t.surfacecolor&&(T.intensity=w.pop());var A=[!0,!0,!0],S=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var E=t.contours[S[e]];A[e]=E.highlight,T.showContour[e]=E.show||E.highlight,T.showContour[e]&&(T.contourProject[e]=[E.project.x,E.project.y,E.project.z],E.show?(this.showContour[e]=!0,T.levels[e]=x[e],p.highlightColor[e]=T.contourColor[e]=u(E.color),E.usecolormap?p.highlightTint[e]=T.contourTint[e]=0:p.highlightTint[e]=T.contourTint[e]=1,T.contourWidth[e]=E.width,this.contourStart[e]=E.start,this.contourEnd[e]=E.end,this.contourSize[e]=E.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),E.highlight&&(T.dynamicColor[e]=u(E.highlightcolor),T.dynamicWidth[e]=E.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(g)&&(T.vertexColor=!0),T.objectOffset=this.objectOffset,T.coords=w,p.update(T),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z]),d&&d<1&&(p.supportsTransparency=!0)},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new f(t,a,e.uid);return a._trace=i,i.update(e),t.glplot.add(a),i}},{\"../../components/colorscale\":627,\"../../lib\":749,\"../../lib/gl_format_color\":745,\"../../lib/str2rgbarray\":772,\"../heatmap/find_empties\":1040,\"../heatmap/interp2d\":1043,\"gl-surface3d\":325,ndarray:469,\"ndarray-linear-interpolate\":463}],1281:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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n=t(\"d3\"),a=t(\"../../lib\"),i=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"./constants\"),u=t(\"../sunburst/helpers\"),h=t(\"../sunburst/fx\"),f=t(\"../sunburst/plot\").formatSliceLabel;e.exports=function(t,e,r,p,d){var 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h={\"stroke-width\":u+\"px\",\"stroke-dasharray\":2*u+\"px,\"+u+\"px\"};o.selectAll(\"path.mean\").style(h).call(a.stroke,c.color),o.selectAll(\"path.meanline\").style(h).call(a.stroke,c.color),i(o,r,t)}))}},{\"../../components/color\":615,\"../scatter/style\":1178,d3:169}],1316:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../isosurface/attributes\"),i=t(\"../surface/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,c=e.exports=l(s({x:a.x,y:a.y,z:a.z,value:a.value,isomin:a.isomin,isomax:a.isomax,surface:a.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:a.slices,caps:a.caps,text:a.text,hovertext:a.hovertext,hovertemplate:a.hovertemplate},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:a.colorbar,opacity:a.opacity,opacityscale:i.opacityscale,lightposition:a.lightposition,lighting:a.lighting,flatshading:a.flatshading,contour:a.contour,hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((a.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year()+(a.year()<0?1:0),e=a.month(),(r=a.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=i},{\"../main\":593,\"object-assign\":473}],582:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.ethiopian=i},{\"../main\":593,\"object-assign\":473}],583:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(a)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(a)%10-3]}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=i},{\"../main\":593,\"object-assign\":473}],584:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=i},{\"../main\":593,\"object-assign\":473}],585:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year(),e=a.month(),r=a.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),a=Math.floor((e-n)/30.6001),i=a-Math.floor(a<14?1:13),o=r-Math.floor(i>2?4716:4715),s=e-n-Math.floor(30.6001*a);return o<=0&&o--,this.newDate(o,i,s)}}),n.calendars.julian=i},{\"../main\":593,\"object-assign\":473}],586:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}i.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate).toJD(),i=this._toHaab(a),o=this._toTzolkin(a);return{haabMonthName:this.local.haabMonths[i[0]-1],haabMonth:i[0],haabDay:i[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return a.day()+20*a.month()+360*a.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=i},{\"../main\":593,\"object-assign\":473}],587:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");a(i.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidMonth);(t=a.year())<0&&t++;for(var i=a.day(),s=1;s<a.month();s++)i+=this.daysPerMonth[s-1];return i+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=i},{\"../main\":593,\"object-assign\":473}],588:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=i.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],i.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),a=e.dayOfYear(),i=r+56;this._createMissingCalendarData(i);for(var o=9,s=this.NEPALI_CALENDAR_DATA[i][0],l=this.NEPALI_CALENDAR_DATA[i][o]-s+1;a>l;)++o>12&&(o=1,i++),l+=this.NEPALI_CALENDAR_DATA[i][o];var c=this.NEPALI_CALENDAR_DATA[i][o]-(l-a);return this.newDate(i,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29,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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t-(t>=0?474:473),s=474+o(i,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(i/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),a=2820;if(1029982!==n){var i=Math.floor(n/366),s=o(n,366);a=Math.floor((2134*i+2816*s+2815)/1028522)+i+1}var l=a+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),h=t-this.toJD(l,u,1)+1;return this.newDate(l,u,h)}}),n.calendars.persian=i,n.calendars.jalali=i},{\"../main\":593,\"object-assign\":473}],590:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":593,\"object-assign\":473}],591:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":593,\"object-assign\":473}],592:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,a=0,i=0;i<o.length;i++){if(o[i]>r)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate),i=12*(a.year()-1)+a.month()-15292;return a.day()+o[i-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var a=r+15292,i=Math.floor((a-1)/12),s=i+1,l=a-12*i,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var a=n.baseCalendar.prototype.isValid.apply(this,arguments);return a&&(a=(t=null!=t.year?t.year:t)>=1276&&t<=1500),a},_validate:function(t,e,r,a){var i=n.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw a.replace(/\\{0\\}/,this.local.name);return i}}),n.calendars.ummalqura=i;var 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n=t(\"object-assign\");function a(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(a.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,a){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,a):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",a=0;r>0;){var i=r%10;n=(0===i?\"\":t[i]+e[a])+n,a++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),a=t.calendar().fromJD(n);return this._validateLevel--,[a.year(),a.month(),a.day()]}try{var i=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);a=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(i,o)&&(o=this.newDate(i,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(i)),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)i--,o+=t.monthsInYear(i);for(var e=t.monthsInYear(i);o>e-1+t.minMonth;)i++,o-=e,e=t.monthsInYear(i)}(this),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o))));var s=[i,this.fromMonthOfYear(i,o),a];return this._validateLevel--,s}catch(t){throw 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l,c,u=t._fullLayout.annotations,h=e._id.charAt(0),f=0;f<u.length;f++)l=u[f],c=\"annotations[\"+f+\"].\",l[h+\"ref\"]===e._id&&p(h),l[\"a\"+h+\"ref\"]===e._id&&p(\"a\"+h);function p(t){var r=l[t],s=null;s=o?a(r,e.range):Math.pow(10,r),n(s)||(s=null),i(c+t,s)}}},{\"../../lib/to_log_range\":775,\"fast-isnumeric\":241}],603:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function i(r,a){return n.coerce(t,e,s,r,a)}var l=i(\"visible\"),c=i(\"clicktoshow\");if(l||c){o(t,e,r,i);for(var u=e.showarrow,h=[\"x\",\"y\"],f=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=h[d],m=a.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)a.getFromId(p,m)._annIndices.push(e._index);if(a.coercePosition(e,p,i,m,g,.5),u){var v=\"a\"+g,y=a.coerceRef(t,e,p,v,\"pixel\");\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var 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S={x:{},y:{}},E=+e.textangle||0,C=x._infolayer.append(\"g\").classed(v,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),L=C.append(\"g\").classed(\"annotation-text-g\",!0),P=_[e.showarrow?\"annotationTail\":\"annotationPosition\"],I=e.captureevents||_.annotationText||P,z=L.append(\"g\").style(\"pointer-events\",I?\"all\":null).call(f,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",q(n.event))}));e.hovertext&&z.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,a=this.getBoundingClientRect(),i=t.getBoundingClientRect();u.loneHover({x0:a.left-i.left,x1:a.right-i.left,y:(a.top+a.bottom)/2-i.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:x._hoverlayer.node(),outerContainer:x._paper.node(),gd:t})})).on(\"mouseout\",(function(){u.loneUnhover(x._hoverlayer.node())}));var O=e.borderwidth,D=e.borderpad,R=O+D,F=z.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",O+\"px\").call(l.stroke,e.bordercolor).call(l.fill,e.bgcolor),B=e.width||e.height,N=x._topclips.selectAll(\"#\"+A).data(B?[0]:[]);N.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",A).append(\"rect\"),N.exit().remove();var j=e.font,U=x._meta?o.templateString(e.text,x._meta):e.text,V=z.append(\"text\").classed(\"annotation-text\",!0).text(U);_.annotationText?V.call(h.makeEditable,{delegate:z,gd:t}).call(H).on(\"edit\",(function(r){e.text=r,this.call(H),k(\"text\",r),s&&s.autorange&&T(s._name+\".autorange\",!0),m&&m.autorange&&T(m._name+\".autorange\",!0),a.call(\"_guiRelayout\",t,M())})):V.call(H)}else n.selectAll(\"#\"+A).remove();function q(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return i&&(n.subplotId=i),n}function H(r){return 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dt=0,gt=0;if(\"left\"!==e.align&&(dt=(w-v)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(gt=(I-y)*(\"middle\"===e.valign?.5:1)),u)n.select(\"svg\").attr({x:R+dt-1,y:R+gt}).call(c.setClipUrl,B?A:null,t);else{var mt=R+gt-d.top,vt=R+dt-d.left;V.call(h.positionText,vt,mt).call(c.setClipUrl,B?A:null,t)}N.select(\"rect\").call(c.setRect,R,R,w,I),F.call(c.setRect,O/2,O/2,D-O,j-O),z.call(c.setTranslate,Math.round(S.x.text-D/2),Math.round(S.y.text-j/2)),L.attr({transform:\"rotate(\"+E+\",\"+S.x.text+\",\"+S.y.text+\")\"});var yt,xt=function(r,n){C.selectAll(\".annotation-arrow-g\").remove();var u=S.x.head,h=S.y.head,f=S.x.tail+r,d=S.y.tail+n,v=S.x.text+r,y=S.y.text+n,x=o.rotationXYMatrix(E,v,y),w=o.apply2DTransform(x),A=o.apply2DTransform2(x),P=+F.attr(\"width\"),I=+F.attr(\"height\"),O=v-.5*P,D=O+P,R=y-.5*I,B=R+I,N=[[O,R,O,B],[O,B,D,B],[D,B,D,R],[D,R,O,R]].map(A);if(!N.reduce((function(t,e){return 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n=t(\"../annotations/attributes\"),a=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../plot_api/plot_template\").templatedArray;e.exports=a(i(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},{\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../annotations/attributes\":598}],608:[function(t,e,r){\"use 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n.coerce(t,e,s,r,a)}function c(t){var n=t+\"axis\",i={_fullLayout:{}};return i._fullLayout[n]=r[n],a.coercePosition(e,i,l,t,t,.5)}l(\"visible\")&&(o(t,e,i.fullLayout,l),c(\"x\"),c(\"y\"),c(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}e.exports=function(t,e,r){i(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},{\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/axes\":798,\"../annotations/common_defaults\":601,\"./attributes\":607}],610:[function(t,e,r){\"use strict\";var n=t(\"../annotations/draw\").drawRaw,a=t(\"../../plots/gl3d/project\"),i=[\"x\",\"y\",\"z\"];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var h=i[u],f=l[h],p=e[h+\"axis\"].r2fraction(f);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=a(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{\"../../plots/gl3d/project\":849,\"../annotations/draw\":604}],611:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\");e.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:t(\"./attributes\")}}},layoutAttributes:t(\"./attributes\"),handleDefaults:t(\"./defaults\"),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var i=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var 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This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));e.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:m,bar:m,box:m,heatmap:m,contour:m,histogram:m,histogram2d:m,histogram2dcontour:m,scatter3d:v,surface:v,mesh3d:v,scattergl:m,ohlc:g,candlestick:g},layout:{calendar:p([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:y},yaxis:{calendar:y},scene:{xaxis:{calendar:y},yaxis:{calendar:y},zaxis:{calendar:y}},polar:{radialaxis:{calendar:y}}},transforms:{filter:{valuecalendar:p([\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:p([\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. If `target` is a string (eg *x*) we use the\",\"corresponding trace attribute (eg `xcalendar`) if it exists,\",\"even if `targetcalendar` is provided.\"].join(\" \"))}}},layoutAttributes:l,handleDefaults:c,handleTraceDefaults:function(t,e,r,n){for(var a=0;a<r.length;a++)c(t,e,r[a]+\"calendar\",n.calendar)},CANONICAL_SUNDAY:{chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},CANONICAL_TICK:{chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},DFLTRANGE:{chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},getCal:f,worldCalFmt:function(t,e,r){for(var 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a=t.map((function(t){return{color:t.color||h.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1}})),i=n.select(e.container),o=e.outerContainer?n.select(e.outerContainer):i,s={hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||h.background,container:i,outerContainer:o},l=E(a,s,e.gd),c=0,u=0;return l.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<c?c-n+5:0,c=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u})),L(l,s.rotateLabels),r?l:l.node()};var S=/<extra>([\\s\\S]*)<\\/extra>/;function E(t,e,r){var a=r._fullLayout,i=e.hovermode,s=e.rotateLabels,c=e.bgColor,f=e.container,p=e.outerContainer,d=e.commonLabelOpts||{},b=e.fontFamily||m.HOVERFONT,_=e.fontSize||m.HOVERFONTSIZE,w=t[0],T=w.xa,S=w.ya,E=\"y\"===i.charAt(0)?\"yLabel\":\"xLabel\",L=w[E],P=(String(L)||\"\").split(\" \")[0],I=p.node().getBoundingClientRect(),z=I.top,O=I.width,D=I.height,R=void 0!==L&&w.distance<=e.hoverdistance&&(\"x\"===i||\"y\"===i);if(R){var F,B,N=!0;for(F=0;F<t.length;F++)if(N&&void 0===t[F].zLabel&&(N=!1),B=t[F].hoverinfo||t[F].trace.hoverinfo){var j=Array.isArray(B)?B:B.split(\"+\");if(-1===j.indexOf(\"all\")&&-1===j.indexOf(i)){R=!1;break}}N&&(R=!1)}var U=f.selectAll(\"g.axistext\").data(R?[0]:[]);function V(t){return t.filter((function(t){return void 0!==t.zLabelVal||(t[E]||\"\").split(\" \")[0]===P}))}if(U.enter().append(\"g\").classed(\"axistext\",!0),U.exit().remove(),U.each((function(){var 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t=n.select(this);t.append(\"rect\").call(h.fill,h.addOpacity(c,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(u.font,b,_)})),it.exit().remove(),it.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.color;Array.isArray(o)&&(o=o[t.eventData[0].pointNumber]);var f=t.bgcolor||o,p=h.combine(h.opacity(f)?f:h.defaultLine,c),d=h.combine(h.opacity(o)?o:h.defaultLine,c),g=t.borderColor||h.contrast(p),m=C(t,R,i,a,L,e),v=m[0],y=m[1],w=e.select(\"text.nums\").call(u.font,t.fontFamily||b,t.fontSize||_,t.fontColor||g).text(v).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r),T=e.select(\"text.name\"),A=0,S=0;if(y&&y!==v){T.call(u.font,t.fontFamily||b,t.fontSize||_,d).text(y).attr(\"data-notex\",1).call(l.positionText,0,0).call(l.convertToTspans,r);var E=T.node().getBoundingClientRect();A=E.width+2*M,S=E.height+2*M}else 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0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=O(t.name,t.nameLength)),void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"<br>\"),void 0!==t.yLabel&&(l+=\"y: \"+t.yLabel+\"<br>\"),\"choropleth\"!==t.trace.type&&\"choroplethmapbox\"!==t.trace.type&&(l+=(l?\"z: \":\"\")+t.zLabel)):e&&t[r.charAt(0)+\"Label\"]===a?l=t[(\"x\"===r.charAt(0)?\"y\":\"x\")+\"Label\"]||\"\":void 0===t.xLabel?void 0!==t.yLabel&&\"scattercarpet\"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:\"(\"+t.xLabel+\", \"+t.yLabel+\")\",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?\"<br>\":\"\")+t.text),void 0!==t.extraText&&(l+=(l?\"<br>\":\"\")+t.extraText),i&&\"\"===l&&!t.hovertemplate&&(\"\"===s&&i.remove(),l=s);var c=n._d3locale,u=t.hovertemplate||!1,h=t.hovertemplateLabels||t,f=t.eventData[0]||{};return u&&(l=(l=o.hovertemplateString(u,h,c,f,t.trace._meta)).replace(S,(function(e,r){return 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d=c+f,g=p+t.ty0-t.by/2+M,m=t.textAlign||\"auto\";\"auto\"!==m&&(\"left\"===m&&\"start\"!==i?(a.attr(\"text-anchor\",\"start\"),d=\"middle\"===i?-t.bx/2-t.tx2width/2+M:-t.bx-M):\"right\"===m&&\"end\"!==i&&(a.attr(\"text-anchor\",\"end\"),d=\"middle\"===i?t.bx/2-t.tx2width/2-M:t.bx+M)),a.call(l.positionText,d,g),t.tx2width&&(r.select(\"text.name\").call(l.positionText,h+s*M+f,p+t.ty0-t.by/2+M),r.select(\"rect\").call(u.setRect,h+(s-1)*t.tx2width/2+f,p-t.by/2-1,t.tx2width,t.by+2))}))}function P(t,e){var r=t.index,n=t.trace||{},i=t.cd[0],s=t.cd[r]||{};function l(t){return t||a(t)&&0===t}var c=Array.isArray(r)?function(t,e){var a=o.castOption(i,r,t);return l(a)?a:o.extractOption({},n,\"\",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var 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n=t(\"../../plots/font_attributes\"),a=t(\"../../plots/pad_attributes\"),i=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:i(a({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plot_api/plot_template\":787,\"../../plots/animation_attributes\":792,\"../../plots/font_attributes\":826,\"../../plots/pad_attributes\":860,\"./constants\":706}],706:[function(t,e,r){\"use 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T={y:e.y,b:h.height*d[w],t:h.height*p[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*p[_],T.r=0,T.xr=e.x+e.len*d[_]):(T.x=e.x,T.l=h.outerLength*p[_],T.r=h.outerLength*d[_]),a.autoMargin(t,g(e),T)}function y(t,e,r){if(e.currentvalue.visible){var n,a,i=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=i.inputAreaLength-u.currentValueInset-i.currentValueMaxWidth,a=\"left\";break;case\"center\":n=.5*i.inputAreaLength,a=\"middle\";break;default:n=u.currentValueInset,a=\"left\"}var c=s.ensureSingle(t,\"text\",u.labelClass,(function(t){t.attr({\"text-anchor\":a,\"data-notex\":1})})),h=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)h+=r;else{var p=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(p=s.templateString(p,d)),h+=p}e.currentvalue.suffix&&(h+=e.currentvalue.suffix),c.call(o.font,e.currentvalue.font).text(h).call(l.convertToTspans,e._gd);var g=l.lineCount(c),m=(i.currentValueMaxLines+1-g)*e.currentvalue.font.size*f;return 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R,B=Math.min(r[0],r[1]),N=Math.max(r[0],r[1]),j=F.getTickFormat(t);h&&j&&(/%[fLQsSMX]/.test(j)||(/%[HI]/.test(j)?R=S:/%p/.test(j)?R=A:/%[Aadejuwx]/.test(j)?R=M:/%[UVW]/.test(j)?R=k:/%[Bbm]/.test(j)?R=w:/%[q]/.test(j)?R=x:/%[Yy]/.test(j)&&(R=m)));var V,q,H=[];for(V=0;V<c.length;V++){var G=c[V].minor,Y=c[V].value,W=F.tickText(t,Y,!1,G);h&&q===W.text||(q=W.text,H.push(W))}if(h&&f){var Z=!1;for(V=0;V<H.length;V++){var X=H[V].x,J=V,K=V+1;V<H.length-1?(J=V,K=V+1):V>0?(J=V-1,K=V):(J=V,K=V);var Q=H[J].x,$=H[K].x,et=Math.abs($-Q),rt=R||et,nt=0;if(rt>=v?nt=et>=v&&et<=g?et:m:R===x&&rt>=b?nt=et>=b&&et<=y?et:x:rt>=T?nt=et>=T&&et<=_?et:w:R===k&&rt>=k?nt=k:rt>=M?nt=M:R===A&&rt>=A?nt=A:R===S&&rt>=S&&(nt=S),nt&&t.rangebreaks){for(var at=0,it=0,ot=0;ot<42;ot++){var st=ot/42;t.maskBreaks(Q*(1-st)+$*st)!==P&&(st<.5?at++:it++)}it&&(nt*=(at+it)/42)}nt<=et&&(X+=nt/2),H[V].periodX=X,(X>N||X<B)&&(H[V].text=\" 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if(a(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);a(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),c=Math.floor(Math.log(l)/Math.LN10+.01),u=void 0===t.minexponent?3:t.minexponent;Math.abs(c)>u&&(rt(t.exponentformat)&&!nt(c)?t._tickexponent=3*Math.round((c-1)/3):t._tickexponent=c)}else t._tickround=null}function tt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontColor:n.color}}F.autoTicks=function(t,e){var r;function n(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar,0);var i=2*e;if(i>m)e/=m,r=n(10),t.dtick=\"M\"+12*Q(e,r,G);else if(i>w)e/=w,t.dtick=\"M\"+Q(e,1,Y);else if(i>M){t.dtick=Q(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:Z);var o=F.getTickFormat(t);/%[uVW]/.test(o)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1)}else i>S?t.dtick=Q(e,S,Y):i>E?t.dtick=Q(e,E,W):i>C?t.dtick=Q(e,C,W):(r=n(10),t.dtick=Q(e,r,G))}else if(\"log\"===t.type){t.tick0=0;var l=s.simpleMap(t.range,t.r2l);if(e>.7)t.dtick=Math.ceil(e);else if(Math.abs(l[1]-l[0])<1){var c=1.5*Math.abs((l[1]-l[0])/e);e=Math.abs(Math.pow(10,l[1])-Math.pow(10,l[0]))/c,r=n(10),t.dtick=\"L\"+Q(e,r,G)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):mt(t)?(t.tick0=0,r=1,t.dtick=Q(e,r,K)):(t.tick0=0,r=n(10),t.dtick=Q(e,r,G));if(0===t.dtick&&(t.dtick=1),!a(t.dtick)&&\"string\"!=typeof t.dtick){var u=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(u)}},F.tickIncrement=function(t,e,r,i){var o=r?-1:1;if(a(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,i);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?J:X,h=t+.01*o,f=s.roundUp(s.mod(h,1),u,r);return Math.floor(h)+Math.log(n.round(Math.pow(10,f),1))/Math.LN10}throw\"unrecognized dtick \"+String(e)},F.tickFirst=function(t,e){var r=t.r2l||Number,i=s.simpleMap(t.range,r,void 0,void 0,e),o=i[1]<i[0],l=o?Math.floor:Math.ceil,c=U(i)[0],u=t.dtick,h=r(t.tick0);if(a(u)){var f=l((c-h)/u)*u+h;return\"category\"!==t.type&&\"multicategory\"!==t.type||(f=s.constrain(f,0,t._categories.length-1)),f}var p=u.charAt(0),d=Number(u.substr(1));if(\"M\"===p){for(var g,m,v,y=0,x=h;y<10;){if(((g=F.tickIncrement(x,u,o,t.calendar))-c)*(x-c)<=0)return o?Math.min(x,g):Math.max(x,g);m=(c-(x+g)/2)/(g-x),v=p+(Math.abs(Math.round(m))||1)*d,x=F.tickIncrement(x,v,m<0?!o:o,t.calendar),y++}return s.error(\"tickFirst did not converge\",t),x}if(\"L\"===p)return Math.log(l((Math.pow(10,c)-h)/d)*d+h)/Math.LN10;if(\"D\"===p){var b=\"D2\"===u?J:X,_=s.roundUp(s.mod(c,1),b,o);return Math.floor(c)+Math.log(n.round(Math.pow(10,_),1))/Math.LN10}throw\"unrecognized dtick \"+String(u)},F.tickText=function(t,e,r,n){var i,o=tt(t,e),l=\"array\"===t.tickmode,c=r||l,u=t.type,h=\"category\"===u?t.d2l_noadd:t.d2l;if(l&&Array.isArray(t.ticktext)){var f=s.simpleMap(t.range,t.r2l),p=(Math.abs(f[1]-f[0])-(t._lBreaks||0))/1e4;for(i=0;i<t.ticktext.length&&!(Math.abs(e-h(t.tickvals[i]))<p);i++);if(i<t.ticktext.length)return o.text=String(t.ticktext[i]),o}function d(n){if(void 0===n)return!0;if(r)return\"none\"===n;var a={first:t._tmin,last:t._tmax}[n];return\"all\"!==n&&e!==a}var g=r?\"never\":\"none\"!==t.exponentformat&&d(t.showexponent)?\"hide\":\"\";if(\"date\"===u?function(t,e,r,n){var i=t._tickround,o=r&&t.hoverformat||F.getTickFormat(t);n&&(i=a(i)?4:{y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[i]);var l,c=s.formatDate(e.x,o,i,t._dateFormat,t.calendar,t._extraFormat),u=c.indexOf(\"\\n\");-1!==u&&(l=c.substr(u+1),c=c.substr(0,u));n&&(\"00:00:00\"===c||\"00:00\"===c?(c=l,l=\"\"):8===c.length&&(c=c.replace(/:00$/,\"\")));l&&(r?\"d\"===i?c+=\", \"+l:c=l+(c?\", 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e=t._id.charAt(0),r=t._offset;return\"x\"===e?function(e){return\"translate(\"+(r+t.l2p(e.x))+\",0)\"}:function(e){return\"translate(0,\"+(r+t.l2p(e.x))+\")\"}},F.makeTransPeriodFn=function(t){var e=t._id.charAt(0),r=t._offset;return\"x\"===e?function(e){return\"translate(\"+(r+t.l2p(e.periodX))+\",0)\"}:function(e){return\"translate(0,\"+(r+t.l2p(e.periodX))+\")\"}},F.makeTickPath=function(t,e,r,n){n=void 0!==n?n:t.ticklen;var a=t._id.charAt(0),i=(t.linewidth||1)/2;return\"x\"===a?\"M0,\"+(e+i*r)+\"v\"+n*r:\"M\"+(e+i*r)+\",0h\"+n*r},F.makeLabelFns=function(t,e,r){var n=t._id.charAt(0),i=\"boundaries\"!==t.tickson&&\"outside\"===t.ticks,o=0,l=0;if(i&&(o+=t.ticklen),r&&\"outside\"===t.ticks){var c=s.deg2rad(r);o=t.ticklen*Math.cos(c)+1,l=t.ticklen*Math.sin(c)}t.showticklabels&&(i||t.showline)&&(o+=.2*t.tickfont.size);var u,h,f,p,d={labelStandoff:o+=(t.linewidth||1)/2,labelShift:l};return\"x\"===n?(p=\"bottom\"===t.side?1:-1,u=l*p,h=e+o*p,f=\"bottom\"===t.side?1:-.2,d.xFn=function(t){return t.dx+u},d.yFn=function(t){return t.dy+h+t.fontSize*f},d.anchorFn=function(t,e){return a(e)&&0!==e&&180!==e?e*p<0?\"end\":\"start\":\"middle\"},d.heightFn=function(e,r,n){return r<-60||r>60?-.5*n:\"top\"===t.side?-n:0}):\"y\"===n&&(p=\"right\"===t.side?1:-1,u=o,h=-l*p,f=90===Math.abs(t.tickangle)?.5:0,d.xFn=function(t){return t.dx+e+(u+t.fontSize*f)*p},d.yFn=function(t){return t.dy+h+t.fontSize*z},d.anchorFn=function(e,r){return a(r)&&90===Math.abs(r)?\"middle\":\"right\"===t.side?\"start\":\"end\"},d.heightFn=function(e,r,n){return(r*=\"left\"===t.side?1:-1)<-30?-n:r<30?-.5*n:0}),d},F.drawTicks=function(t,e,r){r=r||{};var n=e._id+\"tick\",a=r.vals;\"period\"===e.ticklabelmode&&(a=a.slice()).shift();var i=r.layer.selectAll(\"path.\"+n).data(e.ticks?a:[],ot);i.exit().remove(),i.enter().append(\"path\").classed(n,1).classed(\"ticks\",1).classed(\"crisp\",!1!==r.crisp).call(u.stroke,e.tickcolor).style(\"stroke-width\",h.crispRound(t,e.tickwidth,1)+\"px\").attr(\"d\",r.path),i.attr(\"transform\",r.transFn)},F.drawGrid=function(t,e,r){r=r||{};var n=e._id+\"grid\",a=r.vals,i=r.counterAxis;if(!1===e.showgrid)a=[];else if(i&&F.shouldShowZeroLine(t,e,i))for(var o=\"array\"===e.tickmode,s=0;s<a.length;s++){var l=a[s].x;if(o?!l:Math.abs(l)<e.dtick/100){if(a=a.slice(0,s).concat(a.slice(s+1)),!o)break;s--}}var c=r.layer.selectAll(\"path.\"+n).data(a,ot);c.exit().remove(),c.enter().append(\"path\").classed(n,1).classed(\"crisp\",!1!==r.crisp),e._gw=h.crispRound(t,e.gridwidth,1),c.attr(\"transform\",r.transFn).attr(\"d\",r.path).call(u.stroke,e.gridcolor||\"#ddd\").style(\"stroke-width\",e._gw+\"px\"),\"function\"==typeof r.path&&c.attr(\"d\",r.path)},F.drawZeroLine=function(t,e,r){r=r||r;var n=e._id+\"zl\",a=F.shouldShowZeroLine(t,e,r.counterAxis),i=r.layer.selectAll(\"path.\"+n).data(a?[{x:0,id:e._id}]:[]);i.exit().remove(),i.enter().append(\"path\").classed(n,1).classed(\"zl\",1).classed(\"crisp\",!1!==r.crisp).each((function(){r.layer.selectAll(\"path\").sort((function(t,e){return N.idSort(t.id,e.id)}))})),i.attr(\"transform\",r.transFn).attr(\"d\",r.path).call(u.stroke,e.zerolinecolor||u.defaultLine).style(\"stroke-width\",h.crispRound(t,e.zerolinewidth,e._gw||1)+\"px\")},F.drawLabels=function(t,e,r){r=r||{};var i=t._fullLayout,o=e._id,c=o.charAt(0),u=r.cls||o+\"tick\",f=r.vals,p=r.labelFns,d=r.secondary?0:e.tickangle,g=(e._prevTickAngles||{})[u],m=r.layer.selectAll(\"g.\"+u).data(e.showticklabels?f:[],ot),v=[];function y(t,e){t.each((function(t){var i=n.select(this),o=i.select(\".text-math-group\"),s=p.anchorFn(t,e),c=r.transFn.call(i.node(),t)+(a(e)&&0!=+e?\" rotate(\"+e+\",\"+p.xFn(t)+\",\"+(p.yFn(t)-t.fontSize/2)+\")\":\"\"),u=l.lineCount(i),f=D*t.fontSize,d=p.heightFn(t,a(e)?+e:0,(u-1)*f);if(d&&(c+=\" translate(0, \"+d+\")\"),o.empty())i.select(\"text\").attr({transform:c,\"text-anchor\":s});else{var g=h.bBox(o.node()).width*{end:-.5,start:.5}[s];o.attr(\"transform\",c+(g?\"translate(\"+g+\",0)\":\"\"))}}))}m.enter().append(\"g\").classed(u,1).append(\"text\").attr(\"text-anchor\",\"middle\").each((function(e){var r=n.select(this),a=t._promises.length;r.call(l.positionText,p.xFn(e),p.yFn(e)).call(h.font,e.font,e.fontSize,e.fontColor).text(e.text).call(l.convertToTspans,t),t._promises[a]?v.push(t._promises.pop().then((function(){y(r,d)}))):y(r,d)})),m.exit().remove(),r.repositionOnUpdate&&m.each((function(t){n.select(this).select(\"text\").call(l.positionText,p.xFn(t),p.yFn(t))})),y(m,g+1?g:d);var x=null;e._selections&&(e._selections[u]=m);var b=[function(){return v.length&&Promise.all(v)}];e.automargin&&i._redrawFromAutoMarginCount&&90===g?(x=90,b.push((function(){y(m,g)}))):b.push((function(){if(y(m,d),f.length&&\"x\"===c&&!a(d)&&(\"log\"!==e.type||\"D\"!==String(e.dtick).charAt(0))){x=0;var t,n=0,i=[];if(m.each((function(t){n=Math.max(n,t.fontSize);var r=e.l2p(t.x),a=ct(this),o=h.bBox(a.node());i.push({top:0,bottom:10,height:10,left:r-o.width/2,right:r+o.width/2+2,width:o.width+2})})),\"boundaries\"!==e.tickson&&!e.showdividers||r.secondary){var o=f.length,l=Math.abs((f[o-1].x-f[0].x)*e._m)/(o-1)<2.5*n||\"multicategory\"===e.type;for(t=0;t<i.length-1;t++)if(s.bBoxIntersect(i[t],i[t+1])){x=l?90:30;break}}else{var u=2;for(e.ticks&&(u+=e.tickwidth/2),t=0;t<i.length;t++){var p=f[t].xbnd,g=i[t];if(null!==p[0]&&g.left-e.l2p(p[0])<u||null!==p[1]&&e.l2p(p[1])-g.right<u){x=90;break}}}x&&y(m,x)}})),e._tickAngles&&b.push((function(){e._tickAngles[u]=null===x?a(d)?d:0:x}));var _=s.syncOrAsync(b);return _&&_.then&&t._promises.push(_),_},F.getPxPosition=function(t,e){var r,n=t._fullLayout._size,a=e._id.charAt(0),i=e.side;return\"free\"!==e.anchor?r=e._anchorAxis:\"x\"===a?r={_offset:n.t+(1-(e.position||0))*n.h,_length:0}:\"y\"===a&&(r={_offset:n.l+(e.position||0)*n.w,_length:0}),\"top\"===i||\"left\"===i?r._offset:\"bottom\"===i||\"right\"===i?r._offset+r._length:void 0},F.shouldShowZeroLine=function(t,e,r){var n=s.simpleMap(e.range,e.r2l);return n[0]*n[1]<=0&&e.zeroline&&(\"linear\"===e.type||\"-\"===e.type)&&!(e.rangebreaks&&e.maskBreaks(0)===P)&&(lt(e,0)||!function(t,e,r,n){var a=r._mainAxis;if(!a)return;var i=t._fullLayout,o=e._id.charAt(0),s=F.counterLetter(e._id),l=e._offset+(Math.abs(n[0])<Math.abs(n[1])==(\"x\"===o)?0:e._length);function c(t){if(!t.showline||!t.linewidth)return!1;var r=Math.max((t.linewidth+e.zerolinewidth)/2,1);function n(t){return\"number\"==typeof t&&Math.abs(t-l)<r}if(n(t._mainLinePosition)||n(t._mainMirrorPosition))return!0;var a=t._linepositions||{};for(var i in a)if(n(a[i][0])||n(a[i][1]))return!0}var u=i._plots[r._mainSubplot];if(!(u.mainplotinfo||u).overlays.length)return c(r);for(var h=F.list(t,s),f=0;f<h.length;f++){var p=h[f];if(p._mainAxis===a&&c(p))return!0}}(t,e,r,n)||function(t,e){for(var r=t._fullData,n=e._mainSubplot,a=e._id.charAt(0),i=0;i<r.length;i++){var s=r[i];if(!0===s.visible&&s.xaxis+s.yaxis===n){if(o.traceIs(s,\"bar-like\")&&s.orientation==={x:\"h\",y:\"v\"}[a])return!0;if(s.fill&&s.fill.charAt(s.fill.length-1)===a)return!0}}return!1}(t,e))},F.clipEnds=function(t,e){return e.filter((function(e){return lt(t,e.x)}))},F.allowAutoMargin=function(t){for(var e=F.list(t,\"\",!0),r=0;r<e.length;r++){var n=e[r];n.automargin&&(i.allowAutoMargin(t,ut(n)),n.mirror&&i.allowAutoMargin(t,ht(n))),o.getComponentMethod(\"rangeslider\",\"isVisible\")(n)&&i.allowAutoMargin(t,ft(n))}},F.swap=function(t,e){for(var r=function(t,e){var r,n,a=[];for(r=0;r<e.length;r++){var i=[],o=t._fullData[e[r]].xaxis,s=t._fullData[e[r]].yaxis;if(o&&s){for(n=0;n<a.length;n++)-1===a[n].x.indexOf(o)&&-1===a[n].y.indexOf(s)||i.push(n);if(i.length){var l,c=a[i[0]];if(i.length>1)for(n=1;n<i.length;n++)l=a[i[n]],pt(c.x,l.x),pt(c.y,l.y);pt(c.x,[o]),pt(c.y,[s])}else a.push({x:[o],y:[s]})}}return a}(t,e),n=0;n<r.length;n++)dt(t,r[n].x,r[n].y)}},{\"../../components/color\":615,\"../../components/drawing\":637,\"../../components/titles\":710,\"../../constants/alignment\":717,\"../../constants/numerical\":724,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plots/plots\":861,\"../../registry\":881,\"./autorange\":797,\"./axis_autotype\":799,\"./axis_ids\":801,\"./clean_ticks\":803,\"./layout_attributes\":812,\"./set_convert\":818,d3:169,\"fast-isnumeric\":241}],799:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e,r){return!(r=r||{}).noMultiCategory&&(o=t,a.isArrayOrTypedArray(o[0])&&a.isArrayOrTypedArray(o[1]))?\"multicategory\":function(t,e){for(var r=Math.max(1,(t.length-1)/1e3),i=0,o=0,s={},l=0;l<t.length;l+=r){var c=t[Math.round(l)],u=String(c);s[u]||(s[u]=1,a.isDateTime(c,e)&&(i+=1),n(c)&&(o+=1))}return i>2*o}(t,e)?\"date\":function(t){for(var e=Math.max(1,(t.length-1)/1e3),r=0,n=0,o={},s=0;s<t.length;s+=e){var l=t[Math.round(s)],c=String(l);o[c]||(o[c]=1,\"boolean\"==typeof l?n++:a.cleanNumber(l)!==i?r++:\"string\"==typeof l&&n++)}return n>2*r}(t)?\"category\":function(t){if(!t)return!1;for(var e=0;e<t.length;e++)if(n(t[e]))return!0;return!1}(t)?\"linear\":\"-\";var o}},{\"../../constants/numerical\":724,\"../../lib\":749,\"fast-isnumeric\":241}],800:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../registry\"),i=t(\"../../lib\"),o=t(\"../array_container_defaults\"),s=t(\"./layout_attributes\"),l=t(\"./tick_value_defaults\"),c=t(\"./tick_mark_defaults\"),u=t(\"./tick_label_defaults\"),h=t(\"./category_order_defaults\"),f=t(\"./line_grid_defaults\"),p=t(\"./set_convert\"),d=t(\"./constants\").WEEKDAY_PATTERN,g=t(\"./constants\").HOUR_PATTERN;function m(t,e,r){function a(r,n){return i.coerce(t,e,s.rangebreaks,r,n)}if(a(\"enabled\")){var o=a(\"bounds\");if(o&&o.length>=2){var l,c,u=\"\";if(2===o.length)for(l=0;l<2;l++)if(c=y(o[l])){u=d;break}var h=a(\"pattern\",u);if(h===d)for(l=0;l<2;l++)(c=y(o[l]))&&(e.bounds[l]=o[l]=c-1);if(h)for(l=0;l<2;l++)switch(c=o[l],h){case d:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[l]=o[l]=c;break;case g:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return void(e.enabled=!1);e.bounds[l]=o[l]=c}if(!1===r.autorange){var f=r.range;if(f[0]<f[1]){if(o[0]<f[0]&&o[1]>f[1])return void(e.enabled=!1)}else if(o[0]>f[0]&&o[1]<f[1])return void(e.enabled=!1)}}else{var p=a(\"values\");if(!p||!p.length)return void(e.enabled=!1);a(\"dvalue\")}}}e.exports=function(t,e,r,n,g){var v=n.letter,y=n.font||{},x=n.splomStash||{},b=r(\"visible\",!n.visibleDflt),_=e._template||{},w=e.type||_.type||\"-\";\"date\"===w&&a.getComponentMethod(\"calendars\",\"handleDefaults\")(t,e,\"calendar\",n.calendar);p(e,g);var T=!e.isValidRange(t.range);T&&n.reverseDflt&&(T=\"reversed\"),!r(\"autorange\",T)||\"linear\"!==w&&\"-\"!==w||r(\"rangemode\"),r(\"range\"),e.cleanRange(),h(t,e,r,n),\"category\"===w||n.noHover||r(\"hoverformat\");var k=r(\"color\"),M=k!==s.color.dflt?k:y.color,A=x.label||g._dfltTitle[v];if(u(t,e,r,w,n,{pass:1}),!b)return e;r(\"title.text\",A),i.coerceFont(r,\"title.font\",{family:y.family,size:Math.round(1.2*y.size),color:M}),l(t,e,r,w),u(t,e,r,w,n,{pass:2}),c(t,e,r,n),f(t,e,r,{dfltColor:k,bgColor:n.bgColor,showGrid:n.showGrid,attributes:s}),(e.showline||e.ticks)&&r(\"mirror\"),n.automargin&&r(\"automargin\");var S,E=\"multicategory\"===w;n.noTickson||\"category\"!==w&&!E||!e.ticks&&!e.showgrid||(E&&(S=\"boundaries\"),r(\"tickson\",S));E&&(r(\"showdividers\")&&(r(\"dividercolor\"),r(\"dividerwidth\")));if(\"date\"===w)if(n.noTicklabelmode||r(\"ticklabelmode\"),o(t,e,{name:\"rangebreaks\",inclusionAttr:\"enabled\",handleItemDefaults:m}),e.rangebreaks.length){for(var C=0;C<e.rangebreaks.length;C++)if(e.rangebreaks[C].pattern===d){e._hasDayOfWeekBreaks=!0;break}if(p(e,g),g._has(\"scattergl\")||g._has(\"splom\"))for(var L=0;L<n.data.length;L++){var P=n.data[L];\"scattergl\"!==P.type&&\"splom\"!==P.type||(P.visible=!1,i.warn(P.type+\" traces do not work on axes with rangebreaks. Setting trace \"+P.index+\" to `visible: false`.\"))}}else delete e.rangebreaks;return e};var v={sun:1,mon:2,tue:3,wed:4,thu:5,fri:6,sat:7};function y(t){if(\"string\"==typeof t)return v[t.substr(0,3).toLowerCase()]}},{\"../../lib\":749,\"../../registry\":881,\"../array_container_defaults\":793,\"./category_order_defaults\":802,\"./constants\":804,\"./layout_attributes\":812,\"./line_grid_defaults\":814,\"./set_convert\":818,\"./tick_label_defaults\":819,\"./tick_mark_defaults\":820,\"./tick_value_defaults\":821,\"fast-isnumeric\":241}],801:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"./constants\");r.id2name=function(t){if(\"string\"==typeof t&&t.match(a.AX_ID_PATTERN)){var e=t.substr(1);return\"1\"===e&&(e=\"\"),t.charAt(0)+\"axis\"+e}},r.name2id=function(t){if(t.match(a.AX_NAME_PATTERN)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),t.charAt(0)+e}},r.cleanId=function(t,e){if(\"string\"==typeof t&&t.match(a.AX_ID_PATTERN)&&(!e||t.charAt(0)===e)){var 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r!==n?r>n?1:-1:+(t.substr(1)||1)-+(e.substr(1)||1)},r.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++){if(r[n][e])return\"g\"+n}return e}},{\"../../registry\":881,\"./constants\":804}],802:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){if(\"category\"===e.type){var a,i=t.categoryarray,o=Array.isArray(i)&&i.length>0;o&&(a=\"array\");var s,l=r(\"categoryorder\",a);\"array\"===l&&(s=r(\"categoryarray\")),o||\"array\"!==l||(l=e.categoryorder=\"trace\"),\"trace\"===l?e._initialCategories=[]:\"array\"===l?e._initialCategories=s.slice():(s=function(t,e){var r,n,a,i=e.dataAttr||t._id.charAt(0),o={};if(e.axData)r=e.axData;else for(r=[],n=0;n<e.data.length;n++){var s=e.data[n];s[i+\"axis\"]===t._id&&r.push(s)}for(n=0;n<r.length;n++){var l=r[n][i];for(a=0;a<l.length;a++){var c=l[a];null!=c&&(o[c]=1)}}return Object.keys(o)}(e,n).sort(),\"category ascending\"===l?e._initialCategories=s:\"category 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n._length*(n._rl[e]-a)/(n._rl[e]-n._rl[i])}}function Nt(t,e){for(var r=rt.isSubplotConstrained?{x:J,y:X}[t]:rt[t+\"axes\"],n=rt.isSubplotConstrained?{x:X,y:J}[t]:[],a=0;a<r.length;a++){var i=r[a],o=i._id,s=rt.xLinks[o]||rt.yLinks[o],l=n[0]||W[s]||Z[s];l&&(e?(e[i._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[i._name+\".range[1]\"]=e[l._name+\".range[1]\"]):i.range=l.range.slice())}}function jt(){var e,r=[];function n(t){for(e=0;e<t.length;e++)t[e].fixedrange||r.push(t[e]._id)}for(ot&&(n(X),n(et.xaxes),n(rt.xaxes)),st&&(n(J),n(et.yaxes),n(rt.yaxes)),ht={},e=0;e<r.length;e++){var a=r[e],i=w(t,a);f.drawOne(t,i,{skipTitle:!0}),ht[i._name+\".range[0]\"]=i.range[0],ht[i._name+\".range[1]\"]=i.range[1]}f.redrawComponents(t,r)}function Ut(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];nt&&(r=r.concat(X)),at&&(r=r.concat(J)),rt.xaxes&&(r=r.concat(rt.xaxes)),rt.yaxes&&(r=r.concat(rt.yaxes));var 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r,n,a,i,l=t._fullLayout,c=l._plots,h=l._subplots.cartesian;if(ct&&o.subplotsRegistry.splom.drag(t),lt)for(r=0;r<h.length;r++)if(a=(n=c[h[r]]).xaxis,i=n.yaxis,n._scene){var f=s.simpleMap(a.range,a.r2l),p=s.simpleMap(i.range,i.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||lt)&&(x(t),b(t)),ut){var d=e[2]/P._length,m=e[3]/j._length;for(r=0;r<h.length;r++){a=(n=c[h[r]]).xaxis,i=n.yaxis;var v,y,_,w,T=ot&&!a.fixedrange&&W[a._id],k=st&&!i.fixedrange&&Z[i._id];if(T?(v=d,_=L?e[0]:Yt(a,v)):rt.xaHash[a._id]?(v=d,_=e[0]*a._length/P._length):rt.yaHash[a._id]?(v=m,_=\"ns\"===at?-e[1]*a._length/j._length:Yt(a,v,{n:\"top\",s:\"bottom\"}[at])):_=Gt(a,v=Ht(a,d,m)),k?(y=m,w=g?e[1]:Yt(i,y)):rt.yaHash[i._id]?(y=m,w=e[1]*i._length/j._length):rt.xaHash[i._id]?(y=d,w=\"ew\"===nt?-e[0]*i._length/P._length:Yt(i,y,{e:\"right\",w:\"left\"}[nt])):w=Gt(i,y=Ht(i,d,m)),v||y){v||(v=1),y||(y=1);var 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n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),i=Ft.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),o=(e.clientX-i.left)/i.width,l=(i.bottom-e.clientY)/i.height;if(ot){for(L||(o=.5),n=0;n<X.length;n++)c(X[n],o,a);Nt(\"x\"),Ot[2]*=a,Ot[0]+=Ot[2]*o*(1/a-1)}if(st){for(g||(l=.5),n=0;n<J.length;n++)c(J[n],l,a);Nt(\"y\"),Ot[3]*=a,Ot[1]+=Ot[3]*(1-l)*(1/a-1)}qt(Ot),jt(),t.emit(\"plotly_relayouting\",ht),Dt=setTimeout((function(){Ot=[0,0,$,tt],Vt()}),Rt),e.preventDefault()}else s.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=s.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return 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e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),a=r.split(\"y\");return n[0]===a[0]?Number(n[1]||1)-Number(a[1]||1):Number(n[0]||1)-Number(a[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,\"ns\",\"ew\");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&a.hover(t,e,r)},a.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,i.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,\"n\",\"w\"),s(t,n,o._offset+o._length,c._offset-l,l,l,\"n\",\"e\"),s(t,n,o._offset-l,c._offset+c._length,l,l,\"s\",\"w\"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,\"s\",\"e\"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var h=o._mainLinePosition;\"top\"===o.side&&(h-=l),s(t,n,o._offset+.1*o._length,h,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,h,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,h,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var 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e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._drawing=!1}}},{}],809:[function(t,e,r){\"use strict\";function n(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:n,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return n(t,r[e])}},getTransform:function(t){return\"translate(\"+t.xaxis._offset+\",\"+t.yaxis._offset+\")\"}}},{}],810:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\");e.exports=function(t){return function(e,r){var i=e[t];if(Array.isArray(i))for(var o=n.subplotsRegistry.cartesian,s=o.idRegex,l=r._subplots,c=l.xaxis,u=l.yaxis,h=l.cartesian,f=r._has(\"cartesian\")||r._has(\"gl2d\"),p=0;p<i.length;p++){var d=i[p];if(a.isPlainObject(d)){var 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T=e.plot.selectAll(\"g.mlayer\").data(m,(function(t){return t.className}));if(T.enter().append(\"g\").attr(\"class\",(function(t){return t.className})).classed(\"mlayer\",!0).classed(\"rangeplot\",e.isRangePlot),T.exit().remove(),T.order(),T.each((function(r){var a=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,a,i,o),-1===u.clipOnAxisFalseQuery.indexOf(\".\"+l)&&s.setClipUrl(a,e.layerClipId,t)})),d._has(\"scattergl\")&&(c=a.getModule(\"scattergl\"),f=l(r,c)[0],c.plot(t,e,f)),!t._context.staticPlot&&(e._hasClipOnAxisFalse&&(e.clipOnAxisFalseTraces=e.plot.selectAll(u.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),v.length)){var k=e.plot.selectAll(v.join(\",\")).selectAll(\".trace\");e.zoomScalePts=k.selectAll(\"path.point\"),e.zoomScaleTxt=k.selectAll(\".textpoint\")}}function g(t,e){var r=e.plotgroup,n=e.id,a=u.layerValue2layerClass[e.xaxis.layer],i=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,h=n+\"-x\",d=n+\"-y\";e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,f(s.overlinesBelow,\"path\",h),f(s.overlinesBelow,\"path\",d),f(s.overaxesBelow,\"g\",h),f(s.overaxesBelow,\"g\",d),e.plot=f(s.overplot,\"g\",n),f(s.overlinesAbove,\"path\",h),f(s.overlinesAbove,\"path\",d),f(s.overaxesAbove,\"g\",h),f(s.overaxesAbove,\"g\",d),e.xlines=l.select(\".overlines-\"+a).select(\".\"+h),e.ylines=l.select(\".overlines-\"+i).select(\".\"+d),e.xaxislayer=l.select(\".overaxes-\"+a).select(\".\"+h),e.yaxislayer=l.select(\".overaxes-\"+i).select(\".\"+d)}else if(o)e.xlines=f(r,\"path\",\"xlines-above\"),e.ylines=f(r,\"path\",\"ylines-above\"),e.xaxislayer=f(r,\"g\",\"xaxislayer-above\"),e.yaxislayer=f(r,\"g\",\"yaxislayer-above\");else{var 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e,r=t.center||{},n=t.projection,a=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,\"projection.scale\":n.scale},e=t._isScoped?{\"center.lon\":r.lon,\"center.lat\":r.lat}:t._isClipped?{\"projection.rotation.lon\":a.lon,\"projection.rotation.lat\":a.lat}:{\"center.lon\":r.lon,\"center.lat\":r.lat,\"projection.rotation.lon\":a.lon},i.extendFlat(this.viewInitial,e)},w.render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?\"translate(\"+r[0]+\",\"+r[1]+\")\":null}function a(t){return e.isLonLatOverEdges(t.lonlat)?\"none\":null}for(t in this.basePaths)this.basePaths[t].attr(\"d\",r);for(t in this.dataPaths)this.dataPaths[t].attr(\"d\",(function(t){return r(t.geojson)}));for(t in 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c}},{\"../registry\":881,\"./cartesian/constants\":804}],836:[function(t,e,r){\"use strict\";var n=t(\"mouse-change\"),a=t(\"mouse-wheel\"),i=t(\"mouse-event-offset\"),o=t(\"../cartesian/constants\"),s=t(\"has-passive-events\");function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}e.exports=function(t){var e=t.mouseContainer,r=t.glplot,c=new l(e,r);function u(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function h(e,n,a){var i,s,l=t.calcDataBox(),h=r.viewBox,f=c.lastPos[0],p=c.lastPos[1],d=o.MINDRAG*r.pixelRatio,g=o.MINZOOM*r.pixelRatio;function m(e,r,n){var a=Math.min(r,n),i=Math.max(r,n);a!==i?(l[e]=a,l[e+2]=i,c.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,a*=r.pixelRatio,a=h[3]-h[1]-a,t.fullLayout.dragmode){case\"zoom\":if(e){var v=n/(h[2]-h[0])*(l[2]-l[0])+l[0],y=a/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=a),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-a)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,a=0;a<e.length;a++)if(-1!==e[a][r]){if(-1!==e[a][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{i=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(i*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(i)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(i>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(i=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],i||s?(i&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=a),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-a)<d&&(a=c.dragStart[1]),i=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-a)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=i,l[2]+=i,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=a}return c.mouseListener=n(e,h),e.addEventListener(\"touchstart\",(function(t){var r=i(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=i(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=a(e,(function(e,n){if(!t.scrollZoom)return!1;var a=t.calcDataBox(),i=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(i[3]-i[1])),h=o/(i[2]-i[0])*(a[2]-a[0])+a[0],f=s/(i[3]-i[1])*(a[3]-a[1])+a[1];return a[0]=(a[0]-h)*l+h,a[2]=(a[2]-h)*l+h,a[1]=(a[1]-f)*l+f,a[3]=(a[3]-f)*l+f,t.setRanges(a),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":804,\"has-passive-events\":415,\"mouse-change\":457,\"mouse-event-offset\":458,\"mouse-wheel\":460}],837:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),a=t(\"../../lib/str2rgbarray\");function i(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=i.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,i,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=a(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=a(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=a((r.tickfont||{}).color),this.tickAngle[f+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=a(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=a(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,i=r.mirror||!1,u=c?-1!==String(i).indexOf(\"all\"):!!i,h=c?\"allticks\"===i:-1!==String(i).indexOf(\"ticks\"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=a(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=a(r.zerolinecolor),this.zeroLineWidth[f]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new i(t)}},{\"../../lib/str2rgbarray\":772,\"../cartesian/axes\":798}],838:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"./scene2d\"),i=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:i.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,i=0;i<n.length;i++){var o=n[i],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new a({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl2d||[],i=0;i<a.length;i++){var o=a[i],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var a=e._plots[r[n]]._scene2d,i=a.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":i,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),a.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":656,\"../../constants/xmlns_namespaces\":725,\"../../plot_api/edit_types\":780,\"../cartesian\":811,\"../cartesian/attributes\":796,\"../cartesian/constants\":804,\"../get_data\":835,\"../layout_attributes\":852,\"./scene2d\":839}],839:[function(t,e,r){\"use strict\";var n,a,i=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),h=t(\"webgl-context\"),f=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var M=k.prototype;M.makeFramework=function(){if(this.staticPlot){if(!(a||(n=document.createElement(\"canvas\"),a=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=a}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var i=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(i),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},M.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,a=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=a-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=a;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},M.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,a=r.height,i=0|Math.ceil(e*n),o=0|Math.ceil(e*a);return t.width===i&&t.height===o||(t.width=i,t.height=o),t},M.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},M.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},M.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,a={},o=a[e._name+\".range\"]=e.range.slice(),s=a[r._name+\".range\"]=r.range.slice();a[e._name+\".autorange\"]=e.autorange,a[r._name+\".autorange\"]=r.autorange,i.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,a);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,a.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",a)},M.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],a=e[r];if(n.length!==a.length)return!0;for(var i=0;i<n.length;++i)if(n[i].x!==a[i].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},M.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&i.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},M.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},M.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var a=r.width,i=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,a,i];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,a-u.r-(1-h[1])*u.w,i-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},M.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,a=t.r2l,i=e.r2l;return[a(r[0]),i(n[0]),a(r[1]),i(n[1])]},M.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,a=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[a(t[1]),a(t[3])]},M.updateTraces=function(t,e){var r,n,a,i=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<i.length;r++){var o=i[r],s=this.traces[o];for(n=0;n<t.length;n++)if((a=t[n]).uid===o&&a.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){a=t[r];var l=e[r],c=this.traces[a.uid];c?c.update(a,l):(c=a._module.plot(this,a,l),this.traces[a.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},M.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},M.emitPointAction=function(t,e){for(var r,n=t.trace.uid,a=t.pointIndex,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:a,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,a),this.graphDiv.emit(e,{points:[o]})},M.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,a=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var i,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===a.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=a._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(i=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&i.object._trace.handlePick(i);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),i&&\"skip\"!==i.object._trace.hoverinfo&&a.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:i.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(i.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(i.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,a,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}i||this.unhover(),t.draw()}},M.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},M.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/dragelement/helpers\":633,\"../../components/fx\":655,\"../../lib/show_no_webgl_msg\":770,\"../../plots/cartesian/axes\":798,\"../../registry\":881,\"../cartesian/autorange\":797,\"../cartesian/constants\":804,\"../cartesian/constraints\":805,\"./camera\":836,\"./convert\":837,\"gl-plot2d\":298,\"gl-select-box\":310,\"gl-spikes2d\":319,\"webgl-context\":578}],840:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../components/fx/layout_attributes\"),i=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:a.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,a=0;a<n.length;a++){var s=n[a],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,h=c._scene;h||(h=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl3d||[],i=0;i<a.length;i++){var o=a[i];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,a=0;a<r.length;a++){var i=e[r[a]],o=i.domain,s=i._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":656,\"../../constants/xmlns_namespaces\":725,\"../../lib\":749,\"../../plot_api/edit_types\":780,\"../get_data\":835,\"./layout/attributes\":841,\"./layout/defaults\":845,\"./layout/layout_attributes\":846,\"./scene\":850}],841:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],842:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),a=t(\"../../cartesian/layout_attributes\"),i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:a.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:a.color,categoryorder:a.categoryorder,categoryarray:a.categoryarray,title:{text:a.title.text,font:a.title.font},type:i({},a.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autorange:a.autorange,rangemode:a.rangemode,range:i({},a.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:a.tickmode,nticks:a.nticks,tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,mirror:a.mirror,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,tickfont:a.tickfont,tickangle:a.tickangle,tickprefix:a.tickprefix,showtickprefix:a.showtickprefix,ticksuffix:a.ticksuffix,showticksuffix:a.showticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,minexponent:a.minexponent,separatethousands:a.separatethousands,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:a.showline,linecolor:a.linecolor,linewidth:a.linewidth,showgrid:a.showgrid,gridcolor:i({},a.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:a.gridwidth,zeroline:a.zeroline,zerolinecolor:a.zerolinecolor,zerolinewidth:a.zerolinewidth,_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":615,\"../../../lib/extend\":739,\"../../../plot_api/edit_types\":780,\"../../cartesian/layout_attributes\":812}],843:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,a=t(\"../../../lib\"),i=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,h;function f(t,e){return a.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=i.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),f(\"title.text\",d[0]),h.setScale=a.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},{\"../../../lib\":749,\"../../../plot_api/plot_template\":787,\"../../cartesian/axis_defaults\":800,\"../../cartesian/type_defaults\":823,\"./axis_attributes\":842,tinycolor2:548}],844:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[i[r]];o.visible?(this.labels[r]=t._meta?a.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":749,\"../../../lib/str2rgbarray\":772}],845:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),a=t(\"../../../components/color\"),i=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=a.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],h=0;h<u.length;h++)r(\"camera.\"+u[h]+\".x\"),r(\"camera.\"+u[h]+\".y\"),r(\"camera.\"+u[h]+\".z\");r(\"camera.projection.type\");var f=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",f?\"manual\":\"auto\");f||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),i.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var a=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!a)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":615,\"../../../lib\":749,\"../../../registry\":881,\"../../get_data\":835,\"../../subplot_defaults\":875,\"./axis_defaults\":843,\"./layout_attributes\":846}],846:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),a=t(\"../../domain\").attributes,i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:i(s(0,0,1),{}),center:i(s(0,0,0),{}),eye:i(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:a({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":749,\"../../../lib/extend\":739,\"../../domain\":825,\"./axis_attributes\":842}],847:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function i(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}i.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[a[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new i;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":772}],848:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[i[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||a.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],a=new Array(n.length),i=0;i<n.length;++i)a[i]=n[i].x;e[r]=a}return e}(l)};var n=t(\"../../cartesian/axes\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":749,\"../../cartesian/axes\":798}],849:[function(t,e,r){\"use strict\";function n(t,e){var r,n,a=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)a[n]+=t[4*r+n]*e[r];return a}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],850:[function(t,e,r){\"use strict\";var n,a,i=t(\"gl-plot3d\"),o=i.createCamera,s=i.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),h=t(\"../../lib\"),f=t(\"../../plots/cartesian/axes\"),p=t(\"../../components/fx\"),d=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),m=t(\"./project\"),v=t(\"./layout/convert\"),y=t(\"./layout/spikes\"),x=t(\"./layout/tick_marks\"),b=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=y(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:b,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(a||(n=document.createElement(\"canvas\"),a=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=a,t.canvas=n}return t},w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode)e=!1;else try{h.warn([\"webgl setup failed possibly due to\",b?\"disabling\":\"enabling\",\"preserveDrawingBuffer config.\",\"The device may not be supported by is-mobile module!\",\"Inverting preserveDrawingBuffer option in second attempt to create webgl scene.\"].join(\" \")),b=t.glOptions.preserveDrawingBuffer=!t.glOptions.preserveDrawingBuffer,this.glplot=s(t)}catch(t){e=!1}}return e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},a=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas.addEventListener(\"mouseup\",(function(){a(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,i=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*i.x,y:n*i.y,z:n*i.z})}a(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,a=e.container.getBoundingClientRect(),i=a.width,o=a.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+i+\" \"+o),n.setAttributeNS(null,\"width\",i),n.setAttributeNS(null,\"height\",o),x(e),e.glplot.axes.update(e.axesOptions);for(var s,l=Object.keys(e.traces),c=null,u=e.glplot.selection,d=0;d<l.length;++d)\"skip\"!==(t=e.traces[l[d]]).data.hoverinfo&&t.handlePick(u)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r){var n=e.fullSceneLayout[t];return f.tickText(n,n.d2l(r),\"hover\").text}if(null!==c){var v=m(e.glplot.cameraParams,u.dataCoordinate);t=c.data;var y,b=r._fullData[t.index],_=u.index,w={xLabel:g(\"xaxis\",u.traceCoordinate[0]),yLabel:g(\"yaxis\",u.traceCoordinate[1]),zLabel:g(\"zaxis\",u.traceCoordinate[2])},T=p.castHoverinfo(b,e.fullLayout,_),k=(T||\"\").split(\"+\"),M=T&&\"all\"===T;b.hovertemplate||M||(-1===k.indexOf(\"x\")&&(w.xLabel=void 0),-1===k.indexOf(\"y\")&&(w.yLabel=void 0),-1===k.indexOf(\"z\")&&(w.zLabel=void 0),-1===k.indexOf(\"text\")&&(u.textLabel=void 0),-1===k.indexOf(\"name\")&&(c.name=void 0));var A=[];\"cone\"===t.type||\"streamtube\"===t.type?(w.uLabel=g(\"xaxis\",u.traceCoordinate[3]),(M||-1!==k.indexOf(\"u\"))&&A.push(\"u: \"+w.uLabel),w.vLabel=g(\"yaxis\",u.traceCoordinate[4]),(M||-1!==k.indexOf(\"v\"))&&A.push(\"v: \"+w.vLabel),w.wLabel=g(\"zaxis\",u.traceCoordinate[5]),(M||-1!==k.indexOf(\"w\"))&&A.push(\"w: \"+w.wLabel),w.normLabel=u.traceCoordinate[6].toPrecision(3),(M||-1!==k.indexOf(\"norm\"))&&A.push(\"norm: \"+w.normLabel),\"streamtube\"===t.type&&(w.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(M||-1!==k.indexOf(\"divergence\"))&&A.push(\"divergence: \"+w.divergenceLabel)),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(w.valueLabel=f.tickText(e._mockAxis,e._mockAxis.d2l(u.traceCoordinate[3]),\"hover\").text,A.push(\"value: \"+w.valueLabel),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):y=u.textLabel;var S={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};p.appendArrayPointValue(S,b,_),t._module.eventData&&(S=b._module.eventData(S,u,b,{},_));var E={points:[S]};e.fullSceneLayout.hovermode&&p.loneHover({trace:b,x:(.5+.5*v[0]/v[3])*i,y:(.5-.5*v[1]/v[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:y,name:c.name,color:p.castHoverOption(b,_,\"bgcolor\")||c.color,borderColor:p.castHoverOption(b,_,\"bordercolor\"),fontFamily:p.castHoverOption(b,_,\"font.family\"),fontSize:p.castHoverOption(b,_,\"font.size\"),fontColor:p.castHoverOption(b,_,\"font.color\"),nameLength:p.castHoverOption(b,_,\"namelength\"),textAlign:p.castHoverOption(b,_,\"align\"),hovertemplate:h.castOption(b,_,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),u.buttons&&u.distance<5?r.emit(\"plotly_click\",E):r.emit(\"plotly_hover\",E),s=E}else p.loneUnhover(n),r.emit(\"plotly_unhover\",s);e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):h.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var T=[\"xaxis\",\"yaxis\",\"zaxis\"];function k(t,e,r){for(var n=t.fullSceneLayout,a=0;a<3;a++){var i=T[a],o=i.charAt(0),s=n[i],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else r[0][a]=Math.min(r[0][a],0),r[1][a]=Math.max(r[1][a],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,a,i,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(d(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&k(this,n,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],a=0;a<3;a++)for(var i=T[a],o=i.charAt(0),s=r[i],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][a]=Math.min(e[0][a],u),e[1][a]=Math.max(e[1][a],u))}}}(this,h);var f=[1,1,1];for(o=0;o<3;++o)h[1][o]===h[0][o]?f[o]=1:f[o]=1/(h[1][o]-h[0][o]);for(this.dataScale=f,this.convertAnnotations(this),i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&((a=this.traces[n.uid])?a.data.type===n.type?a.update(n):(a.dispose(),a=n._module.plot(this,n),this.traces[n.uid]=a):(a=n._module.plot(this,n),this.traces[n.uid]=a),a.name=n.name);var p=Object.keys(this.traces);t:for(i=0;i<p.length;++i){for(o=0;o<t.length;++o)if(t[o].uid===p[i]&&!0===t[o].visible&&0!==t[o]._length)continue t;(a=this.traces[p[i]]).dispose(),delete this.traces[p[i]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,m=[[0,0,0],[0,0,0]],v=[],y={};for(i=0;i<3;++i){if((l=(s=c[T[i]]).type)in y?(y[l].acc*=f[i],y[l].count+=1):y[l]={acc:f[i],count:1},s.autorange){m[0][i]=1/0,m[1][i]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],M=w.bounds,A=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][i]=Math.min(m[0][i],s._lowerLogErrorBound):m[0][i]=Math.min(m[0][i],M[0][i]/f[i]-A),m[1][i]=Math.max(m[1][i],M[1][i]/f[i]+A)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][i]=Math.min(m[0][i],E),m[1][i]=Math.max(m[1][i],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][i]=Math.min(m[0][i],0),m[1][i]=Math.max(m[1][i],0)),m[0][i]>m[1][i])m[0][i]=-1,m[1][i]=1;else{var C=m[1][i]-m[0][i];m[0][i]-=C/32,m[1][i]+=C/32}if(\"reversed\"===s.autorange){var L=m[0][i];m[0][i]=m[1][i],m[1][i]=L}}else{var P=s.range;m[0][i]=s.r2l(P[0]),m[1][i]=s.r2l(P[1])}m[0][i]===m[1][i]&&(m[0][i]-=1,m[1][i]+=1),v[i]=m[1][i]-m[0][i],this.glplot.setBounds(i,{min:m[0][i]*f[i],max:m[1][i]*f[i]})}var I=c.aspectmode;if(\"cube\"===I)g=[1,1,1];else if(\"manual\"===I){var z=c.aspectratio;g=[z.x,z.y,z.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var O=[1,1,1];for(i=0;i<3;++i){var D=y[l=(s=c[T[i]]).type];O[i]=Math.pow(D.acc,1/D.count)/f[i]}g=\"data\"===I||Math.max.apply(null,O)/Math.min.apply(null,O)<=4?O:[1,1,1]}c.aspectratio.x=u.aspectratio.x=g[0],c.aspectratio.y=u.aspectratio.y=g[1],c.aspectratio.z=u.aspectratio.z=g[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=h.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var a=[\"up\",\"center\",\"eye\"],i=[\"x\",\"y\",\"z\"];return e[a[r]]&&t[a[r]][i[n]]===e[a[r]][i[n]]}var a=!1;if(void 0===r)a=!0;else{for(var i=0;i<3;i++)for(var o=0;o<3;o++)if(!n(e,r,i,o)){a=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(a=!0)}return a},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=h.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,a,i,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),f=l||c;if(f){var p={};if(l&&(e=this.getCamera(),n=(r=h.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(a=this.glplot.getAspectratio(),o=(i=h.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),h.nestedProperty(s,this.id+\".camera\").set(e);if(c)i.set(a),h.nestedProperty(s,this.id+\".aspectratio\").set(a),this.glplot.redraw()}return f},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,a=n._fullLayout,i=this.fullSceneLayout.camera,o=i.up.x,s=i.up.y,l=i.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",f={x:0,y:0,z:1},p={};p[c]=f;var 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strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var a=new Array(n),i=0;i<n;i++)a[i]=[t[i],e[i],r[i]];return a}},{}],852:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),a=t(\"./animation_attributes\"),i=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, sans-serif',c.size.dflt=12,c.color.dflt=i.defaultLine,e.exports={font:c,title:{text:{valType:\"string\",editType:\"layoutstyle\"},font:n({editType:\"layoutstyle\"}),xref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},x:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"layoutstyle\"},y:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"left\",\"center\",\"right\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"layoutstyle\"},pad:l(s({editType:\"layoutstyle\"}),{}),editType:\"layoutstyle\"},uniformtext:{mode:{valType:\"enumerated\",values:[!1,\"hide\",\"show\"],dflt:!1,editType:\"plot\"},minsize:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"},autosize:{valType:\"boolean\",dflt:!1,editType:\"none\"},width:{valType:\"number\",min:10,dflt:700,editType:\"plot\"},height:{valType:\"number\",min:10,dflt:450,editType:\"plot\"},margin:{l:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},r:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},t:{valType:\"number\",min:0,dflt:100,editType:\"plot\"},b:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},autoexpand:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},paper_bgcolor:{valType:\"color\",dflt:i.background,editType:\"plot\"},plot_bgcolor:{valType:\"color\",dflt:i.background,editType:\"layoutstyle\"},separators:{valType:\"string\",editType:\"plot\"},hidesources:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:{valType:\"boolean\",editType:\"legend\"},colorway:{valType:\"colorlist\",dflt:i.defaults,editType:\"calc\"},datarevision:{valType:\"any\",editType:\"calc\"},uirevision:{valType:\"any\",editType:\"none\"},editrevision:{valType:\"any\",editType:\"none\"},selectionrevision:{valType:\"any\",editType:\"none\"},template:{valType:\"any\",editType:\"calc\"},modebar:{orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\",editType:\"modebar\"},bgcolor:{valType:\"color\",editType:\"modebar\"},color:{valType:\"color\",editType:\"modebar\"},activecolor:{valType:\"color\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"modebar\"},newshape:o.newshape,activeshape:o.activeshape,meta:{valType:\"any\",arrayOk:!0,editType:\"plot\"},transition:l({},a.transition,{editType:\"none\"}),_deprecated:{title:{valType:\"string\",editType:\"layoutstyle\"},titlefont:n({editType:\"layoutstyle\"})}}},{\"../components/color/attributes\":614,\"../components/shapes/draw_newshape/attributes\":697,\"../lib/extend\":739,\"./animation_attributes\":792,\"./font_attributes\":826,\"./pad_attributes\":860}],853:[function(t,e,r){\"use strict\";var n={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:'<a href=\"http://www.openstreetmap.org/about/\" target=\"_blank\">\\xa9 OpenStreetMap</a>',tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:'<a href=\"https://carto.com/\" target=\"_blank\">\\xa9 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n=t(\"../../lib\"),a=t(\"../../lib/svg_text_utils\").sanitizeHTML,i=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var 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n=t(\"mapbox-gl\"),a=t(\"../../lib\"),i=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),h=u.rectMode,f=u.drawMode,p=u.selectMode,d=t(\"../cartesian/select\").prepSelect,g=t(\"../cartesian/select\").clearSelect,m=t(\"../cartesian/select\").clearSelectionsCache,v=t(\"../cartesian/select\").selectOnClick,y=t(\"./constants\"),x=t(\"./layers\");function b(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var _=b.prototype;_.plot=function(t,e,r){var n,a=this,i=e[a.id];a.map&&i.accesstoken!==a.accessToken&&(a.map.remove(),a.map=null,a.styleObj=null,a.traceHash={},a.layerList=[]),n=a.map?new Promise((function(r,n){a.updateMap(t,e,r,n)})):new Promise((function(r,n){a.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,a){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:M(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left=\"0px\",c._canvas.style.top=\"0px\",o.rejectOnError(a),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once(\"load\",t)}))),u=u.concat(i.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(a)},_.updateMap=function(t,e,r,n){var a=this,o=a.map,s=e[this.id];a.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(a.styleObj)!==JSON.stringify(c)&&(a.styleObj=c,o.setStyle(c.style),a.traceHash={},l.push(new Promise((function(t){o.once(\"styledata\",t)})))),l=l.concat(i.fetchTraceGeoData(t)),Promise.all(l).then((function(){a.fillBelowLookup(t,e),a.updateData(t),a.updateLayout(e),a.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,a=e[this.id].layers,i=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;\"string\"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),\"\"===n&&(o=!0),i[\"trace-\"+s.uid]=n||\"\"}for(r=0;r<a.length;r++){var c=a[r];n=\"string\"==typeof c.below?c.below:o?\"traces\":\"\",i[\"layout-\"+r]=n}var u,h,f={};for(u in i)f[n=i[u]]?f[n].push(u):f[n]=[u];for(n in f){var 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\"+c.t+\", r: \"+c.r,h=this.getBoundingClientRect(),f=t.node().getBoundingClientRect(),p=[h.left+h.width/2-U[0]-f.left,h.top+h.height/2-U[1]-f.top];ut.config({color:s}).text(u),ut.move(p)}else i=this.style.stroke||\"black\",a.attr({\"data-stroke\":i}),s=n.hsl(i).darker().toString(),a.style({stroke:s,opacity:1})})).on(\"mousemove.tooltip\",(function(t,e){if(0!=n.event.which)return!1;n.select(this).attr(\"data-fill\")&&ut.show()})).on(\"mouseout.tooltip\",(function(t,e){ut.hide();var r=n.select(this),a=r.attr(\"data-fill\");a?r.style({fill:a,opacity:r.attr(\"data-opacity\")}):r.style({stroke:r.attr(\"data-stroke\"),opacity:r.attr(\"data-opacity\")})}))}))}(c),this},f.config=function(t){if(!arguments.length)return l;var e=o.util.cloneJson(t);return e.data.forEach((function(t,e){l.data[e]||(l.data[e]={}),a(l.data[e],o.Axis.defaultConfig().data[0]),a(l.data[e],t)})),a(l.layout,o.Axis.defaultConfig().layout),a(l.layout,e.layout),this},f.getLiveConfig=function(){return u},f.getinputConfig=function(){return c},f.radialScale=function(t){return r},f.angularScale=function(t){return s},f.svg=function(){return t},n.rebind(f,h,\"on\"),f},o.Axis.defaultConfig=function(t,e){return{data:[{t:[1,2,3,4],r:[10,11,12,13],name:\"Line1\",geometry:\"LinePlot\",color:null,strokeDash:\"solid\",strokeColor:null,strokeSize:\"1\",visibleInLegend:!0,opacity:1}],layout:{defaultColorRange:n.scale.category10().range(),title:null,height:450,width:500,margin:{top:40,right:40,bottom:40,left:40},font:{size:12,color:\"gray\",outlineColor:\"white\",family:\"Tahoma, sans-serif\"},direction:\"clockwise\",orientation:0,labelOffset:10,radialAxis:{domain:null,orientation:-45,ticksSuffix:\"\",visible:!0,gridLinesVisible:!0,tickOrientation:\"horizontal\",rewriteTicks:null},angularAxis:{domain:[0,360],ticksSuffix:\"\",visible:!0,gridLinesVisible:!0,labelsVisible:!0,tickOrientation:\"horizontal\",rewriteTicks:null,ticksCount:null,ticksStep:null},minorTicks:0,tickLength:null,tickColor:\"silver\",minorTickColor:\"#eee\",backgroundColor:\"none\",needsEndSpacing:null,showLegend:!0,legend:{reverseOrder:!1},opacity:1}}},o.util={},o.DATAEXTENT=\"dataExtent\",o.AREA=\"AreaChart\",o.LINE=\"LinePlot\",o.DOT=\"DotPlot\",o.BAR=\"BarChart\",o.util._override=function(t,e){for(var r in t)r in e&&(e[r]=t[r])},o.util._extend=function(t,e){for(var r in t)e[r]=t[r]},o.util._rndSnd=function(){return 2*Math.random()-1+(2*Math.random()-1)+(2*Math.random()-1)},o.util.dataFromEquation2=function(t,e){var r=e||6;return n.range(0,360+r,r).map((function(e,r){var n=e*Math.PI/180;return[e,t(n)]}))},o.util.dataFromEquation=function(t,e,r){var a=e||6,i=[],o=[];n.range(0,360+a,a).forEach((function(e,r){var n=e*Math.PI/180,a=t(n);i.push(e),o.push(a)}));var s={t:i,r:o};return r&&(s.name=r),s},o.util.ensureArray=function(t,e){if(\"undefined\"==typeof t)return null;var r=[].concat(t);return n.range(e).map((function(t,e){return r[e]||r[0]}))},o.util.fillArrays=function(t,e,r){return e.forEach((function(e,n){t[e]=o.util.ensureArray(t[e],r)})),t},o.util.cloneJson=function(t){return JSON.parse(JSON.stringify(t))},o.util.validateKeys=function(t,e){\"string\"==typeof e&&(e=e.split(\".\"));var r=e.shift();return t[r]&&(!e.length||objHasKeys(t[r],e))},o.util.sumArrays=function(t,e){return n.zip(t,e).map((function(t,e){return n.sum(t)}))},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var r=Math.max(t.length,e.length,1);r-- >=0&&t[r]===e[r];);return-2===r},o.util.flattenArray=function(t){for(var e=[];!o.util.arrayEqual(e,t);)e=t,t=[].concat.apply([],t);return t},o.util.deduplicate=function(t){return t.filter((function(t,e,r){return r.indexOf(t)==e}))},o.util.convertToCartesian=function(t,e){var r=e*Math.PI/180;return[t*Math.cos(r),t*Math.sin(r)]},o.util.round=function(t,e){var r=e||2,n=Math.pow(10,r);return Math.round(t*n)/n},o.util.getMousePos=function(t){var e=n.mouse(t.node()),r=e[0],a=e[1],i={};return i.x=r,i.y=a,i.pos=e,i.angle=180*(Math.atan2(a,r)+Math.PI)/Math.PI,i.radius=Math.sqrt(r*r+a*a),i},o.util.duplicatesCount=function(t){for(var e,r={},n={},a=0,i=t.length;a<i;a++)(e=t[a])in r?(r[e]++,n[e]=r[e]):r[e]=1;return n},o.util.duplicates=function(t){return Object.keys(o.util.duplicatesCount(t))},o.util.translator=function(t,e,r,n){if(n){var a=r.slice();r=e,e=a}var i=e.reduce((function(t,e){if(\"undefined\"!=typeof t)return t[e]}),t);\"undefined\"!=typeof i&&(e.reduce((function(t,r,n){if(\"undefined\"!=typeof t)return n===e.length-1&&delete t[r],t[r]}),t),r.reduce((function(t,e,n){return\"undefined\"==typeof t[e]&&(t[e]={}),n===r.length-1&&(t[e]=i),t[e]}),t))},o.PolyChart=function(){var t=[o.PolyChart.defaultConfig()],e=n.dispatch(\"hover\"),r={solid:\"none\",dash:[5,2],dot:[2,5]};function i(){var e=t[0].geometryConfig,a=e.container;\"string\"==typeof a&&(a=n.select(a)),a.datum(t).each((function(t,a){var i=!!t[0].data.yStack,o=t.map((function(t,e){return i?n.zip(t.data.t[0],t.data.r[0],t.data.yStack[0]):n.zip(t.data.t[0],t.data.r[0])})),s=e.angularScale,l=e.radialScale.domain()[0],c={bar:function(r,a,i){var o=t[i].data,l=e.radialScale(r[1])-e.radialScale(0),c=e.radialScale(r[2]||0),u=o.barWidth;n.select(this).attr({class:\"mark bar\",d:\"M\"+[[l+c,-u/2],[l+c,u/2],[c,u/2],[c,-u/2]].join(\"L\")+\"Z\",transform:function(t,r){return\"rotate(\"+(e.orientation+s(t[0]))+\")\"}})}};c.dot=function(r,a,i){var o=r[2]?[r[0],r[1]+r[2]]:r,s=n.svg.symbol().size(t[i].data.dotSize).type(t[i].data.dotType)(r,a);n.select(this).attr({class:\"mark dot\",d:s,transform:function(t,r){var n,a,i,s=(n=function(t,r){var n=e.radialScale(t[1]),a=(e.angularScale(t[0])+e.orientation)*Math.PI/180;return{r:n,t:a}}(o),a=n.r*Math.cos(n.t),i=n.r*Math.sin(n.t),{x:a,y:i});return\"translate(\"+[s.x,s.y]+\")\"}})};var u=n.svg.line.radial().interpolate(t[0].data.lineInterpolation).radius((function(t){return e.radialScale(t[1])})).angle((function(t){return e.angularScale(t[0])*Math.PI/180}));c.line=function(r,a,i){var s=r[2]?o[i].map((function(t,e){return[t[0],t[1]+t[2]]})):o[i];if(n.select(this).each(c.dot).style({opacity:function(e,r){return+t[i].data.dotVisible},fill:d.stroke(r,a,i)}).attr({class:\"mark dot\"}),!(a>0)){var l=n.select(this.parentNode).selectAll(\"path.line\").data([0]);l.enter().insert(\"path\"),l.attr({class:\"line\",d:u(s),transform:function(t,r){return\"rotate(\"+(e.orientation+90)+\")\"},\"pointer-events\":\"none\"}).style({fill:function(t,e){return d.fill(r,a,i)},\"fill-opacity\":0,stroke:function(t,e){return d.stroke(r,a,i)},\"stroke-width\":function(t,e){return d[\"stroke-width\"](r,a,i)},\"stroke-dasharray\":function(t,e){return d[\"stroke-dasharray\"](r,a,i)},opacity:function(t,e){return d.opacity(r,a,i)},display:function(t,e){return d.display(r,a,i)}})}};var h=e.angularScale.range(),f=Math.abs(h[1]-h[0])/o[0].length*Math.PI/180,p=n.svg.arc().startAngle((function(t){return-f/2})).endAngle((function(t){return f/2})).innerRadius((function(t){return e.radialScale(l+(t[2]||0))})).outerRadius((function(t){return e.radialScale(l+(t[2]||0))+e.radialScale(t[1])}));c.arc=function(t,r,a){n.select(this).attr({class:\"mark arc\",d:p,transform:function(t,r){return\"rotate(\"+(e.orientation+s(t[0])+90)+\")\"}})};var d={fill:function(e,r,n){return t[n].data.color},stroke:function(e,r,n){return t[n].data.strokeColor},\"stroke-width\":function(e,r,n){return t[n].data.strokeSize+\"px\"},\"stroke-dasharray\":function(e,n,a){return r[t[a].data.strokeDash]},opacity:function(e,r,n){return t[n].data.opacity},display:function(e,r,n){return\"undefined\"==typeof t[n].data.visible||t[n].data.visible?\"block\":\"none\"}},g=n.select(this).selectAll(\"g.layer\").data(o);g.enter().append(\"g\").attr({class:\"layer\"});var m=g.selectAll(\"path.mark\").data((function(t,e){return t}));m.enter().append(\"path\").attr({class:\"mark\"}),m.style(d).each(c[e.geometryType]),m.exit().remove(),g.exit().remove()}))}return i.config=function(e){return arguments.length?(e.forEach((function(e,r){t[r]||(t[r]={}),a(t[r],o.PolyChart.defaultConfig()),a(t[r],e)})),this):t},i.getColorScale=function(){},n.rebind(i,e,\"on\"),i},o.PolyChart.defaultConfig=function(){return{data:{name:\"geom1\",t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:\"circle\",dotSize:64,dotVisible:!1,barWidth:20,color:\"#ffa500\",strokeSize:1,strokeColor:\"silver\",strokeDash:\"solid\",opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:\"LinePlot\",geometryType:\"arc\",direction:\"clockwise\",orientation:0,container:\"body\",radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"bar\"}}},o.AreaChart=function(){return o.PolyChart()},o.AreaChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"arc\"}}},o.DotPlot=function(){return o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"dot\",dotType:\"circle\"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"line\"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch(\"hover\");function r(){var e=t.legendConfig,i=t.data.map((function(t,r){return[].concat(t).map((function(t,n){var i=a({},e.elements[r]);return i.name=t,i.color=[].concat(e.elements[r].color)[n],i}))})),o=n.merge(i);o=o.filter((function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||\"undefined\"==typeof e.elements[r].visibleInLegend)})),e.reverseOrder&&(o=o.reverse());var s=e.container;(\"string\"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map((function(t,e){return t.color})),c=e.fontSize,u=null==e.isContinuous?\"number\"==typeof o[0]:e.isContinuous,h=u?e.height:c*o.length,f=s.classed(\"legend-group\",!0).selectAll(\"svg\").data([0]),p=f.enter().append(\"svg\").attr({width:300,height:h+c,xmlns:\"http://www.w3.org/2000/svg\",\"xmlns:xlink\":\"http://www.w3.org/1999/xlink\",version:\"1.1\"});p.append(\"g\").classed(\"legend-axis\",!0),p.append(\"g\").classed(\"legend-marks\",!0);var d=n.range(o.length),g=n.scale[u?\"linear\":\"ordinal\"]().domain(d).range(l),m=n.scale[u?\"linear\":\"ordinal\"]().domain(d)[u?\"range\":\"rangePoints\"]([0,h]);if(u){var v=f.select(\".legend-marks\").append(\"defs\").append(\"linearGradient\").attr({id:\"grad1\",x1:\"0%\",y1:\"0%\",x2:\"0%\",y2:\"100%\"}).selectAll(\"stop\").data(l);v.enter().append(\"stop\"),v.attr({offset:function(t,e){return e/(l.length-1)*100+\"%\"}}).style({\"stop-color\":function(t,e){return t}}),f.append(\"rect\").classed(\"legend-mark\",!0).attr({height:e.height,width:e.colorBandWidth,fill:\"url(#grad1)\"})}else{var y=f.select(\".legend-marks\").selectAll(\"path.legend-mark\").data(o);y.enter().append(\"path\").classed(\"legend-mark\",!0),y.attr({transform:function(t,e){return\"translate(\"+[c/2,m(e)+c/2]+\")\"},d:function(t,e){var r,a,i,o=t.symbol;return i=3*(a=c),\"line\"===(r=o)?\"M\"+[[-a/2,-a/12],[a/2,-a/12],[a/2,a/12],[-a/2,a/12]]+\"Z\":-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(i)():n.svg.symbol().type(\"square\").size(i)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var x=n.svg.axis().scale(m).orient(\"right\"),b=f.select(\"g.legend-axis\").attr({transform:\"translate(\"+[u?e.colorBandWidth:c,c/2]+\")\"}).call(x);return b.selectAll(\".domain\").style({fill:\"none\",stroke:\"none\"}),b.selectAll(\"line\").style({fill:\"none\",stroke:u?e.textColor:\"none\"}),b.selectAll(\"text\").style({fill:e.textColor,\"font-size\":e.fontSize}).text((function(t,e){return o[e].name})),r}return r.config=function(e){return arguments.length?(a(t,e),this):t},n.rebind(r,e,\"on\"),r},o.Legend.defaultConfig=function(t,e){return{data:[\"a\",\"b\",\"c\"],legendConfig:{elements:[{symbol:\"line\",color:\"red\"},{symbol:\"square\",color:\"yellow\"},{symbol:\"diamond\",color:\"limegreen\"}],height:150,colorBandWidth:30,fontSize:12,container:\"body\",isContinuous:null,textColor:\"grey\",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,i={container:null,hasTick:!1,fontSize:12,color:\"white\",padding:5},s=\"tooltip-\"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=i.container.selectAll(\"g.\"+s).data([0])).enter().append(\"g\").classed(s,!0).style({\"pointer-events\":\"none\",display:\"none\"});return r=n.append(\"path\").style({fill:\"white\",\"fill-opacity\":.9}).attr({d:\"M0 0\"}),e=n.append(\"text\").attr({dx:i.padding+l,dy:.3*+i.fontSize}),c};return c.text=function(a){var o=n.hsl(i.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",h=a||\"\";e.style({fill:u,\"font-size\":i.fontSize+\"px\"}).text(h);var f=i.padding,p=e.node().getBBox(),d={fill:i.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*f+l,m=p.height+2*f;return r.attr({d:\"M\"+[[l,-m/2],[l,-m/4],[i.hasTick?0:l,0],[l,m/4],[l,m/2],[g,m/2],[g,-m/2]].join(\"L\")+\"Z\"}).style(d),t.attr({transform:\"translate(\"+[l,-m/2+2*f]+\")\"}),t.style({display:\"block\"}),c},c.move=function(e){if(t)return t.attr({transform:\"translate(\"+[e[0],e[1]]+\")\"}).style({display:\"block\"}),c},c.hide=function(){if(t)return t.style({display:\"none\"}),c},c.show=function(){if(t)return t.style({display:\"block\"}),c},c.config=function(t){return a(i,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map((function(t,r){var n=a({},t);return[[n,[\"marker\",\"color\"],[\"color\"]],[n,[\"marker\",\"opacity\"],[\"opacity\"]],[n,[\"marker\",\"line\",\"color\"],[\"strokeColor\"]],[n,[\"marker\",\"line\",\"dash\"],[\"strokeDash\"]],[n,[\"marker\",\"line\",\"width\"],[\"strokeSize\"]],[n,[\"marker\",\"symbol\"],[\"dotType\"]],[n,[\"marker\",\"size\"],[\"dotSize\"]],[n,[\"marker\",\"barWidth\"],[\"barWidth\"]],[n,[\"line\",\"interpolation\"],[\"lineInterpolation\"]],[n,[\"showlegend\"],[\"visibleInLegend\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e||delete n.marker,e&&delete n.groupId,e?(\"LinePlot\"===n.geometry?(n.type=\"scatter\",!0===n.dotVisible?(delete n.dotVisible,n.mode=\"lines+markers\"):n.mode=\"lines\"):\"DotPlot\"===n.geometry?(n.type=\"scatter\",n.mode=\"markers\"):\"AreaChart\"===n.geometry?n.type=\"area\":\"BarChart\"===n.geometry&&(n.type=\"bar\"),delete n.geometry):(\"scatter\"===n.type?\"lines\"===n.mode?n.geometry=\"LinePlot\":\"markers\"===n.mode?n.geometry=\"DotPlot\":\"lines+markers\"===n.mode&&(n.geometry=\"LinePlot\",n.dotVisible=!0):\"area\"===n.type?n.geometry=\"AreaChart\":\"bar\"===n.type&&(n.geometry=\"BarChart\"),delete n.mode,delete n.type),n})),!e&&t.layout&&\"stack\"===t.layout.barmode)){var i=o.util.duplicates(r.data.map((function(t,e){return t.geometry})));r.data.forEach((function(t,e){var n=i.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)}))}if(t.layout){var s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e?(\"undefined\"!=typeof s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&\"undefined\"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&\"undefined\"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&\"boolean\"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder=\"normal\"!=s.legend.reverseOrder),s.legend&&\"boolean\"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?\"reversed\":\"normal\",delete s.legend.reverseOrder),s.margin&&\"undefined\"!=typeof s.margin.t){var l=[\"t\",\"r\",\"b\",\"l\",\"pad\"],c=[\"top\",\"right\",\"bottom\",\"left\",\"pad\"],u={};n.entries(s.margin).forEach((function(t,e){u[c[l.indexOf(t.key)]]=t.value})),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{\"../../../constants/alignment\":717,\"../../../lib\":749,d3:169}],871:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../../lib\"),i=t(\"../../../components/color\"),o=t(\"./micropolar\"),s=t(\"./undo_manager\"),l=a.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,a,i,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(\".svg-container>*:not(.chart-root)\").remove(),e=e?l(e,r):r,a||(a=o.Axis()),i=o.adapter.plotly().convert(e),a.config(i).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return a.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return o.adapter.plotly().convert(a.getLiveConfig(),!0)},f.getLiveScales=function(){return{t:a.angularScale(),r:a.radialScale()}},f.setUndoPoint=function(){var t,n,a=this,i=o.util.cloneJson(e);t=i,n=r,h.add({undo:function(){n&&a(n)},redo:function(){a(t)}}),r=o.util.cloneJson(i)},f.undo=function(){h.undo()},f.redo=function(){h.redo()},f},c.fillLayout=function(t){var e=n.select(t).selectAll(\".plot-container\"),r=e.selectAll(\".svg-container\"),a=t.framework&&t.framework.svg&&t.framework.svg(),o={width:800,height:600,paper_bgcolor:i.background,_container:e,_paperdiv:r,_paper:a};t._fullLayout=l(o,t.layout)}},{\"../../../components/color\":615,\"../../../lib\":749,\"./micropolar\":870,\"./undo_manager\":872,d3:169}],872:[function(t,e,r){\"use strict\";e.exports=function(){var t,e=[],r=-1,n=!1;function a(t,e){return t?(n=!0,t[e](),n=!1,this):this}return{add:function(t){return n||(e.splice(r+1,e.length-r),e.push(t),r=e.length-1),this},setCallback:function(e){t=e},undo:function(){var n=e[r];return n?(a(n,\"undo\"),r-=1,t&&t(n.undo),this):this},redo:function(){var n=e[r+1];return n?(a(n,\"redo\"),r+=1,t&&t(n.redo),this):this},clear:function(){e=[],r=-1},hasUndo:function(){return-1!==r},hasRedo:function(){return r<e.length-1},getCommands:function(){return e},getPreviousCommand:function(){return e[r-1]},getIndex:function(){return r}}}},{}],873:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=t(\"../../components/color\"),l=t(\"../../components/drawing\"),c=t(\"../plots\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../cartesian/set_convert\"),f=t(\"./set_convert\"),p=t(\"../cartesian/autorange\").doAutoRange,d=t(\"../cartesian/dragbox\"),g=t(\"../../components/dragelement\"),m=t(\"../../components/fx\"),v=t(\"../../components/titles\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").selectOnClick,b=t(\"../cartesian/select\").clearSelect,_=t(\"../../lib/setcursor\"),w=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,k=t(\"../../constants/alignment\").MID_SHIFT,M=t(\"./constants\"),A=t(\"./helpers\"),S=o._,E=o.mod,C=o.deg2rad,L=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n=\"clip\"+r._uid+e;this.clipIds.forTraces=n+\"-for-traces\",this.clipPaths.forTraces=r._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=r._polarlayer.append(\"g\").attr(\"class\",e),this.radialTickLayout=null,this.angularTickLayout=null}var I=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function O(t,e){return e[o.findIndexOfMin(e,(function(e){return o.angleDist(t,e)}))]}function D(t,e,r){return e?(t.attr(\"display\",null),t.attr(r)):t&&t.attr(\"display\",\"none\"),t}function R(t,e){return\"translate(\"+t+\",\"+e+\")\"}function F(t){return\"rotate(\"+t+\")\"}e.exports=function(t,e){return new P(t,e)},I.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var n=0;n<t.length;n++){if(!1===t[n][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(e,r),this.updateLayout(e,r),c.generalUpdatePerTraceModule(this.gd,this,t,r),this.updateFx(e,r)},I.updateLayers=function(t,e){var r=this.layers,a=e.radialaxis,i=e.angularaxis,o=M.layerNames,s=o.indexOf(\"frontplot\"),l=o.slice(0,s),c=\"below traces\"===i.layer,u=\"below traces\"===a.layer;c&&l.push(\"angular-line\"),u&&l.push(\"radial-line\"),c&&l.push(\"angular-axis\"),u&&l.push(\"radial-axis\"),l.push(\"frontplot\"),c||l.push(\"angular-line\"),u||l.push(\"radial-line\"),c||l.push(\"angular-axis\"),u||l.push(\"radial-axis\");var h=this.framework.selectAll(\".polarsublayer\").data(l,String);h.enter().append(\"g\").attr(\"class\",(function(t){return\"polarsublayer \"+t})).each((function(t){var e=r[t]=n.select(this);switch(t){case\"frontplot\":e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":r.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}})),h.order()},I.updateLayout=function(t,e){var r=this.layers,n=t._size,a=e.radialaxis,i=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(C);var p,d,g,m,v,y=this.sectorBBox=function(t){var e,r,n,a,i=t[0],o=t[1]-i,s=E(i,360),l=s+o,c=Math.cos(C(s)),u=Math.sin(C(s)),h=Math.cos(C(l)),f=Math.sin(C(l));a=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,a]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,v=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],m=[c[0]+v,c[1]-v]):(d=h,v=(u-(p=h/w))/n.w/2,g=[o[0]+v,o[1]-v],m=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=m;var T=this.xOffset2=n.l+n.w*g[0],k=this.yOffset2=n.t+n.h*(1-m[1]),M=this.radius=p/x,A=this.innerRadius=e.hole*M,S=this.cx=T-M*y[0],L=this.cy=k+M*y[3],P=this.cxx=S-T,I=this.cyy=L-k;this.radialAxis=this.mockAxis(t,e,a,{_id:\"x\",side:{counterclockwise:\"top\",clockwise:\"bottom\"}[a.side],domain:[A/n.w,M/n.w]}),this.angularAxis=this.mockAxis(t,e,i,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:m});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",R(P,I)),r.frontplot.attr(\"transform\",R(T,k)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",R(S,L)).call(s.fill,e.bgcolor)},I.mockAxis=function(t,e,r,n){var a=o.extendFlat({},r,n);return f(a,e,t),a},I.mockCartesianAxis=function(t,e,r){var n=this,a=r._id,i=o.extendFlat({type:\"linear\"},r);h(i,t);var s={x:[0,2],y:[1,3]};return i.setRange=function(){var t=n.sectorBBox,r=s[a],o=n.radialAxis._rl,l=(o[1]-o[0])/(1-e.hole);i.range=[t[r[0]]*l,t[r[1]]*l]},i.isPtWithinRange=\"x\"===a?function(t){return n.isPtInside(t)}:function(){return!0},i.setRange(),i.setScale(),i},I.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,a=e.radialaxis;n.setScale(),p(r,n);var i=n.range;a.range=i.slice(),a._input.range=i.slice(),n._rl=[n.r2l(i[0],null,\"gregorian\"),n.r2l(i[1],null,\"gregorian\")]},I.updateRadialAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.radialaxis,p=E(e.sector[0],360),d=r.radialAxis,g=l<i;r.fillViewInitialKey(\"radialaxis.angle\",f.angle),r.fillViewInitialKey(\"radialaxis.range\",d.range.slice()),d.setGeometry(),\"auto\"===d.tickangle&&p>90&&p<=270&&(d.tickangle=180);var m=function(t){return\"translate(\"+(d.l2p(t.x)+l)+\",0)\"},v=z(f);if(r.radialTickLayout!==v&&(a[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=v),g){d.setScale();var y=u.calcTicks(d),x=u.clipEnds(d,y),b=u.getTickSigns(d)[2];u.drawTicks(n,d,{vals:y,layer:a[\"radial-axis\"],path:u.makeTickPath(d,0,b),transFn:m,crisp:!1}),u.drawGrid(n,d,{vals:x,layer:a[\"radial-grid\"],path:function(t){return r.pathArc(d.r2p(t.x)+l)},transFn:o.noop,crisp:!1}),u.drawLabels(n,d,{vals:y,layer:a[\"radial-axis\"],transFn:m,labelFns:u.makeLabelFns(d,0)})}var _=r.radialAxisAngle=r.vangles?L(O(C(f.angle),r.vangles)):f.angle,w=R(c,h),T=w+F(-_);D(a[\"radial-axis\"],g&&(f.showticklabels||f.ticks),{transform:T}),D(a[\"radial-grid\"],g&&f.showgrid,{transform:w}),D(a[\"radial-line\"].select(\"line\"),g&&f.showline,{x1:l,y1:0,x2:i,y2:0,transform:T}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},I.updateRadialAxisTitle=function(t,e,r){var n=this.gd,a=this.radius,i=this.cx,o=this.cy,s=e.radialaxis,c=this.id+\"title\",u=void 0!==r?r:this.radialAxisAngle,h=C(u),f=Math.cos(h),p=Math.sin(h),d=0;if(s.title){var g=l.bBox(this.layers[\"radial-axis\"].node()).height,m=s.title.font.size;d=\"counterclockwise\"===s.side?-g-.4*m:g+.8*m}this.layers[\"radial-axis-title\"]=v.draw(n,c,{propContainer:s,propName:this.id+\".radialaxis.title\",placeholder:S(n,\"Click to enter radial axis title\"),attributes:{x:i+a/2*f+d*p,y:o-a/2*p+d*f,\"text-anchor\":\"middle\"},transform:{rotate:-u}})},I.updateAngularAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.angularaxis,p=r.angularAxis;r.fillViewInitialKey(\"angularaxis.rotation\",f.rotation),p.setGeometry(),p.setScale();var d=function(t){return p.t2g(t.x)};\"linear\"===p.type&&\"radians\"===p.thetaunit&&(p.tick0=L(p.tick0),p.dtick=L(p.dtick));var g=function(t){return R(c+i*Math.cos(t),h-i*Math.sin(t))},m=u.makeLabelFns(p,0).labelStandoff,v={xFn:function(t){var e=d(t);return Math.cos(e)*m},yFn:function(t){var e=d(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(m+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*k)},anchorFn:function(t){var e=d(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},heightFn:function(t,e,r){var n=d(t);return-.5*(1+Math.sin(n))*r}},y=z(f);r.angularTickLayout!==y&&(a[\"angular-axis\"].selectAll(\".\"+p._id+\"tick\").remove(),r.angularTickLayout=y);var x,b=u.calcTicks(p);if(\"linear\"===e.gridshape?(x=b.map(d),o.angleDelta(x[0],x[1])<0&&(x=x.slice().reverse())):x=null,r.vangles=x,\"category\"===p.type&&(b=b.filter((function(t){return o.isAngleInsideSector(d(t),r.sectorInRad)}))),p.visible){var _=\"inside\"===p.ticks?-1:1,w=(p.linewidth||1)/2;u.drawTicks(n,p,{vals:b,layer:a[\"angular-axis\"],path:\"M\"+_*w+\",0h\"+_*p.ticklen,transFn:function(t){var e=d(t);return g(e)+F(-L(e))},crisp:!1}),u.drawGrid(n,p,{vals:b,layer:a[\"angular-grid\"],path:function(t){var e=d(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[c+l*r,h-l*n]+\"L\"+[c+i*r,h-i*n]},transFn:o.noop,crisp:!1}),u.drawLabels(n,p,{vals:b,layer:a[\"angular-axis\"],repositionOnUpdate:!0,transFn:function(t){return g(d(t))},labelFns:v})}D(a[\"angular-line\"].select(\"path\"),f.showline,{d:r.pathSubplot(),transform:R(c,h)}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},I.updateFx=function(t,e){this.gd._context.staticPlot||(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1),this.updateMainDrag(t))},I.updateMainDrag=function(t){var e=this,r=e.gd,o=e.layers,s=t._zoomlayer,l=M.MINZOOM,c=M.OFFEDGE,u=e.radius,h=e.innerRadius,f=e.cx,p=e.cy,v=e.cxx,_=e.cyy,w=e.sectorInRad,T=e.vangles,k=e.radialAxis,S=A.clampTiny,E=A.findXYatLength,C=A.findEnclosingVertexAngles,L=M.cornerHalfWidth,P=M.cornerLen/2,I=d.makeDragger(o,\"path\",\"maindrag\",\"crosshair\");n.select(I).attr(\"d\",e.pathSubplot()).attr(\"transform\",R(f,p));var z,O,D,F,B,N,j,U,V,q={element:I,gd:r,subplot:e.id,plotinfo:{id:e.id,xaxis:e.xaxis,yaxis:e.yaxis},xaxes:[e.xaxis],yaxes:[e.yaxis]};function H(t,e){return Math.sqrt(t*t+e*e)}function G(t,e){return H(t-v,e-_)}function Y(t,e){return Math.atan2(_-e,t-v)}function W(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Z(t,r){if(0===t)return e.pathSector(2*L);var n=P/t,a=r-n,i=r+n,o=Math.max(0,Math.min(t,u)),s=o-L,l=o+L;return\"M\"+W(s,a)+\"A\"+[s,s]+\" 0,0,0 \"+W(s,i)+\"L\"+W(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+W(l,a)+\"Z\"}function X(t,r,n){if(0===t)return e.pathSector(2*L);var 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n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=o._,l=t(\"../../components/color\"),c=t(\"../../components/drawing\"),u=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,f=t(\"../plots\"),p=t(\"../cartesian/axes\"),d=t(\"../../components/dragelement\"),g=t(\"../../components/fx\"),m=t(\"../../components/dragelement/helpers\"),v=m.freeMode,y=m.rectMode,x=t(\"../../components/titles\"),b=t(\"../cartesian/select\").prepSelect,_=t(\"../cartesian/select\").selectOnClick,w=t(\"../cartesian/select\").clearSelect,T=t(\"../cartesian/select\").clearSelectionsCache,k=t(\"../cartesian/constants\");function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=M;var A=M.prototype;A.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},A.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var a=0;a<t.length;a++){if(!1===t[a][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(r),this.adjustLayout(r,n),f.generalUpdatePerTraceModule(this.graphDiv,this,t,r),this.layers.plotbg.select(\"path\").call(l.fill,r.bgcolor)},A.makeFramework=function(t){var e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,a=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",a,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),c.setClipUrl(this.layers.backplot,n,e),c.setClipUrl(this.layers.grids,n,e)},A.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below 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S=Math.sqrt(4/3);A.adjustLayout=function(t,e){var r,n,a,i,o,s,f=this,p=t.domain,d=(p.x[0]+p.x[1])/2,g=(p.y[0]+p.y[1])/2,m=p.x[1]-p.x[0],v=p.y[1]-p.y[0],y=m*e.w,x=v*e.h,b=t.sum,_=t.aaxis.min,w=t.baxis.min,T=t.caxis.min;y>S*x?a=(i=x)*S:i=(a=y)/S,o=m*a/y,s=v*i/x,r=e.l+e.w*d-a/2,n=e.t+e.h*(1-g)-i/2,f.x0=r,f.y0=n,f.w=a,f.h=i,f.sum=b,f.xaxis={type:\"linear\",range:[_+2*T-b,b-_-2*w],domain:[d-o/2,d+o/2],_id:\"x\"},u(f.xaxis,f.graphDiv._fullLayout),f.xaxis.setScale(),f.xaxis.isPtWithinRange=function(t){return t.a>=f.aaxis.range[0]&&t.a<=f.aaxis.range[1]&&t.b>=f.baxis.range[1]&&t.b<=f.baxis.range[0]&&t.c>=f.caxis.range[1]&&t.c<=f.caxis.range[0]},f.yaxis={type:\"linear\",range:[_,b-w-T],domain:[g-s/2,g+s/2],_id:\"y\"},u(f.yaxis,f.graphDiv._fullLayout),f.yaxis.setScale(),f.yaxis.isPtWithinRange=function(){return!0};var k=f.yaxis.domain[0],M=f.aaxis=h({},t.aaxis,{range:[_,b-w-T],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[k,k+s*S],anchor:\"free\",position:0,_id:\"y\",_length:a});u(M,f.graphDiv._fullLayout),M.setScale();var A=f.baxis=h({},t.baxis,{range:[b-_-T,w],side:\"bottom\",domain:f.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:a});u(A,f.graphDiv._fullLayout),A.setScale();var E=f.caxis=h({},t.caxis,{range:[b-_-w,T],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[k,k+s*S],anchor:\"free\",position:0,_id:\"y\",_length:a});u(E,f.graphDiv._fullLayout),E.setScale();var C=\"M\"+r+\",\"+(n+i)+\"h\"+a+\"l-\"+a/2+\",-\"+i+\"Z\";f.clipDef.select(\"path\").attr(\"d\",C),f.layers.plotbg.select(\"path\").attr(\"d\",C);var L=\"M0,\"+i+\"h\"+a+\"l-\"+a/2+\",-\"+i+\"Z\";f.clipDefRelative.select(\"path\").attr(\"d\",L);var P=\"translate(\"+r+\",\"+n+\")\";f.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),f.clipDefRelative.select(\"path\").attr(\"transform\",null);var I=\"translate(\"+(r-A._offset)+\",\"+(n+i)+\")\";f.layers.baxis.attr(\"transform\",I),f.layers.bgrid.attr(\"transform\",I);var z=\"translate(\"+(r+a/2)+\",\"+n+\")rotate(30)translate(0,\"+-M._offset+\")\";f.layers.aaxis.attr(\"transform\",z),f.layers.agrid.attr(\"transform\",z);var O=\"translate(\"+(r+a/2)+\",\"+n+\")rotate(-30)translate(0,\"+-E._offset+\")\";f.layers.caxis.attr(\"transform\",O),f.layers.cgrid.attr(\"transform\",O),f.drawAxes(!0),f.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+i)+\"l\"+a/2+\",-\"+i:\"M0,0\").call(l.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),f.layers.bline.select(\"path\").attr(\"d\",A.showline?\"M\"+r+\",\"+(n+i)+\"h\"+a:\"M0,0\").call(l.stroke,A.linecolor||\"#000\").style(\"stroke-width\",(A.linewidth||0)+\"px\"),f.layers.cline.select(\"path\").attr(\"d\",E.showline?\"M\"+(r+a/2)+\",\"+n+\"l\"+a/2+\",\"+i:\"M0,0\").call(l.stroke,E.linecolor||\"#000\").style(\"stroke-width\",(E.linewidth||0)+\"px\"),f.graphDiv._context.staticPlot||f.initInteractions(),c.setClipUrl(f.layers.frontplot,f._hasClipOnAxisFalse?null:f.clipId,f.graphDiv)},A.drawAxes=function(t){var 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E=k.MINZOOM/2+.87,C=\"m-0.87,.5h\"+E+\"v3h-\"+(E+5.2)+\"l\"+(E/2+2.6)+\",-\"+(.87*E+4.5)+\"l2.6,1.5l-\"+E/2+\",\"+.87*E+\"Z\",L=\"m0.87,.5h-\"+E+\"v3h\"+(E+5.2)+\"l-\"+(E/2+2.6)+\",-\"+(.87*E+4.5)+\"l-2.6,1.5l\"+E/2+\",\"+.87*E+\"Z\",P=\"m0,1l\"+E/2+\",\"+.87*E+\"l2.6,-1.5l-\"+(E/2+2.6)+\",-\"+(.87*E+4.5)+\"l-\"+(E/2+2.6)+\",\"+(.87*E+4.5)+\"l2.6,1.5l\"+E/2+\",-\"+.87*E+\"Z\",I=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}A.clearSelect=function(){T(this.dragOptions),w(this.dragOptions.gd)},A.initInteractions=function(){var t,e,r,n,u,h,f,p,m,x,w=this,T=w.layers.plotbg.select(\"path\").node(),M=w.graphDiv,A=M._fullLayout._zoomlayer;function E(t){var e={};return e[w.id+\".aaxis.min\"]=t.a,e[w.id+\".baxis.min\"]=t.b,e[w.id+\".caxis.min\"]=t.c,e}function O(t,e){var r=M._fullLayout.clickmode;z(M),2===t&&(M.emit(\"plotly_doubleclick\",null),i.call(\"_guiRelayout\",M,E({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&_(e,M,[w.xaxis],[w.yaxis],w.id,w.dragOptions),r.indexOf(\"event\")>-1&&g.click(M,e,w.id)}function D(t,e){return 1-e/w.h}function R(t,e){return 1-(t+(w.h-e)/Math.sqrt(3))/w.w}function F(t,e){return(t-(w.h-e)/Math.sqrt(3))/w.w}function B(a,i){var 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f=h.selectAll(\"path\").data((function(t){var e,n,i=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,h=.01*o,f=[],p=0;if(r.jitter){if(0===o)for(p=1,f=new Array(i.length),e=0;e<i.length;e++)f[e]=1;else for(e=0;e<i.length;e++){var d=Math.max(0,e-5),g=i[d].v,m=Math.min(i.length-1,e+5),v=i[m].v;\"all\"!==u&&(i[e].v<t.lf?v=Math.min(v,t.lf):g=Math.max(g,t.uf));var y=Math.sqrt(h*(m-d)/(v-g+s))||0;y=a.constrain(Math.abs(y),0,1),f.push(y),p=Math.max(y,p)}n=2*r.jitter/(p||1)}for(e=0;e<i.length;e++){var x=i[e],b=x.v,_=r.jitter?n*f[e]*(a.pseudoRandom()-.5):0,w=t.pos+c+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===u&&b<t.uo&&b>t.lo&&(x.so=!0)}return i}));f.enter().append(\"path\").classed(\"point\",!0),f.exit().remove(),f.call(i.translatePoints,o,s)}function l(t,e,r,i){var 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M={outerTicks:!0};c(b,_,k,\"linear\"),h(b,_,k,\"linear\",M),u(b,_,k,M)}else d(\"title.align\",\"center\"),d(\"align\",\"center\"),e._isAngular=e._isBullet=!1;e._length=null}}},{\"../../lib\":749,\"../../plot_api/plot_template\":787,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/tick_label_defaults\":819,\"../../plots/cartesian/tick_mark_defaults\":820,\"../../plots/cartesian/tick_value_defaults\":821,\"../../plots/domain\":825,\"./attributes\":1085,\"./constants.js\":1088}],1090:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"indicator\",basePlotModule:t(\"./base_plot\"),categories:[\"svg\",\"noOpacity\",\"noHover\"],animatable:!0,attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,calc:t(\"./calc\").calc,plot:t(\"./plot\"),meta:{}}},{\"./attributes\":1085,\"./base_plot\":1086,\"./calc\":1087,\"./defaults\":1089,\"./plot\":1091}],1091:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../lib\"),i=a.rad2deg,o=t(\"../../constants/alignment\").MID_SHIFT,s=t(\"../../components/drawing\"),l=t(\"./constants\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../../plots/cartesian/axis_defaults\"),f=t(\"../../plots/cartesian/position_defaults\"),p=t(\"../../plots/cartesian/layout_attributes\"),d=t(\"../../components/color\"),g={left:\"start\",center:\"middle\",right:\"end\"},m={left:0,center:.5,right:1},v=/[yzafpn\\xb5mkMGTPEZY]/;function y(t){return t&&t.duration>0}function x(t){t.each((function(t){d.stroke(n.select(this),t.line.color)})).each((function(t){d.fill(n.select(this),t.color)})).style(\"stroke-width\",(function(t){return t.line.width}))}function b(t,e,r){var n=t._fullLayout,i=a.extendFlat({type:\"linear\",ticks:\"outside\",range:r,showline:!0},e),o={type:\"linear\",_id:\"x\"+e._id},s={letter:\"x\",font:n.font,noHover:!0,noTickson:!0};function l(t,e){return a.coerce(i,o,p,t,e)}return h(i,o,l,s,n),f(i,o,l,s),o}function _(t,e){return\"translate(\"+t+\",\"+e+\")\"}function w(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+\"x\"+r]}function T(t,e,r,a){var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\"),o=n.select(i);return o.text(t).attr(\"x\",0).attr(\"y\",0).attr(\"text-anchor\",r).attr(\"data-unformatted\",t).call(c.convertToTspans,a).call(s.font,e),s.bBox(o.node())}function k(t,e,r,n,i,o){var s=\"_cache\"+e;t[s]&&t[s].key===i||(t[s]={key:i,value:r});var l=a.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,h){var f,p=t._fullLayout;y(r)&&h&&(f=h()),a.makeTraceGroups(p._indicatorlayer,e,\"trace\").each((function(e){var h,M,A,S,E,C=e[0].trace,L=n.select(this),P=C._hasGauge,I=C._isAngular,z=C._isBullet,O=C.domain,D={w:p._size.w*(O.x[1]-O.x[0]),h:p._size.h*(O.y[1]-O.y[0]),l:p._size.l+p._size.w*O.x[0],r:p._size.r+p._size.w*(1-O.x[1]),t:p._size.t+p._size.h*(1-O.y[1]),b:p._size.b+p._size.h*O.y[0]},R=D.l+D.w/2,F=D.t+D.h/2,B=Math.min(D.w/2,D.h),N=l.innerRadius*B,j=C.align||\"center\";if(M=F,P){if(I&&(h=R,M=F+B/2,A=function(t){return function(t,e){var r=Math.sqrt(t.width/2*(t.width/2)+t.height*t.height);return[e/r,t,e]}(t,.9*N)}),z){var U=l.bulletPadding,V=1-l.bulletNumberDomainSize+U;h=D.l+(V+(1-V)*m[j])*D.w,A=function(t){return w(t,(l.bulletNumberDomainSize-U)*D.w,D.h)}}}else h=D.l+m[j]*D.w,A=function(t){return w(t,D.w,D.h)};!function(t,e,r,i){var o,l,h,f=r[0].trace,p=i.numbersX,x=i.numbersY,w=f.align||\"center\",M=g[w],A=i.transitionOpts,S=i.onComplete,E=a.ensureSingle(e,\"g\",\"numbers\"),C=[];f._hasNumber&&C.push(\"number\");f._hasDelta&&(C.push(\"delta\"),\"left\"===f.delta.position&&C.reverse());var L=E.selectAll(\"text\").data(C);function P(e,r,n,a){if(!e.match(\"s\")||n>=0==a>=0||r(n).slice(-1).match(v)||r(a).slice(-1).match(v))return r;var i=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=b(t,{tickformat:i});return function(t){return Math.abs(t)<1?u.tickText(o,t).text:r(t)}}L.enter().append(\"text\"),L.attr(\"text-anchor\",(function(){return M})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),L.exit().remove();var I,z=f.mode+f.align;f._hasDelta&&(I=function(){var e=b(t,{tickformat:f.delta.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=function(t){return f.delta.relative?t.relativeDelta:t.delta},o=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?f.delta.increasing.symbol:f.delta.decreasing.symbol)+e(t)},h=function(t){return t.delta>=0?f.delta.increasing.color:f.delta.decreasing.color};void 0===f._deltaLastValue&&(f._deltaLastValue=i(r[0]));var p=E.select(\"text.delta\");function g(){p.text(o(i(r[0]),a)).call(d.fill,h(r[0])).call(c.convertToTspans,t)}return p.call(s.font,f.delta.font).call(d.fill,h({delta:f._deltaLastValue})),y(A)?p.transition().duration(A.duration).ease(A.easing).tween(\"text\",(function(){var t=n.select(this),e=i(r[0]),s=f._deltaLastValue,l=P(f.delta.valueformat,a,s,e),c=n.interpolateNumber(s,e);return f._deltaLastValue=e,function(e){t.text(o(c(e),l)),t.call(d.fill,h({delta:c(e)}))}})).each(\"end\",(function(){g(),S&&S()})).each(\"interrupt\",(function(){g(),S&&S()})):g(),l=T(o(i(r[0]),a),f.delta.font,M,t),p}(),z+=f.delta.position+f.delta.font.size+f.delta.font.family+f.delta.valueformat,z+=f.delta.increasing.symbol+f.delta.decreasing.symbol,h=l);f._hasNumber&&(!function(){var e=b(t,{tickformat:f.number.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=f.number.suffix,l=f.number.prefix,h=E.select(\"text.number\");function p(){var e=\"number\"==typeof r[0].y?l+a(r[0].y)+i:\"-\";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(A)?h.transition().duration(A.duration).ease(A.easing).each(\"end\",(function(){p(),S&&S()})).each(\"interrupt\",(function(){p(),S&&S()})).attrTween(\"text\",(function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,a,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+i)}})):p(),o=T(l+a(r[0].y)+i,f.number.font,M,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var O,D,R=[(o.left+o.right)/2,(o.top+o.bottom)/2],F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=.75*f.delta.font.size;\"left\"===f.delta.position&&(O=k(f,\"deltaPos\",0,-1*(o.width*m[f.align]+l.width*(1-m[f.align])+B),z,Math.min),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:l.left+O,right:o.right,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"right\"===f.delta.position&&(O=k(f,\"deltaPos\",0,o.width*(1-m[f.align])+l.width*m[f.align]+B,z,Math.max),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:o.left,right:l.right+O,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"bottom\"===f.delta.position&&(O=null,D=l.height,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height,bottom:o.bottom+l.height}),\"top\"===f.delta.position&&(O=null,D=o.top,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height-l.height,bottom:o.bottom}),I.attr({dx:O,dy:D})}(f._hasNumber||f._hasDelta)&&E.attr(\"transform\",(function(){var t=i.numbersScaler(h);z+=t[2];var e,r=k(f,\"numbersScale\",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];\"center\"===w&&(n=(h.left+h.right)/2);var a=p-r*n;return _(a=k(f,\"numbersTranslate\",0,a,z,Math.max),e)+\" scale(\"+r+\")\"}))}(t,L,e,{numbersX:h,numbersY:M,numbersScaler:A,transitionOpts:r,onComplete:f}),P&&(S={range:C.gauge.axis.range,color:C.gauge.bgcolor,line:{color:C.gauge.bordercolor,width:0},thickness:1},E={range:C.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:C.gauge.bordercolor,width:C.gauge.borderwidth},thickness:1});var q=L.selectAll(\"g.angular\").data(I?e:[]);q.exit().remove();var H=L.selectAll(\"g.angularaxis\").data(I?e:[]);H.exit().remove(),I&&function(t,e,r,a){var s,l,c,h,f=r[0].trace,p=a.size,d=a.radius,g=a.innerRadius,m=a.gaugeBg,v=a.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],T=a.gauge,k=a.layer,M=a.transitionOpts,A=a.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=(t-e)/(f.gauge.axis.range[1]-e)*Math.PI-S;return r<-S?-S:r>S?S:r}function C(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function L(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()}))}T.enter().append(\"g\").classed(\"angular\",!0),T.attr(\"transform\",_(w[0],w[1])),k.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),k.selectAll(\"g.xangularaxistick,path,text\").remove(),(s=b(t,f.gauge.axis)).type=\"linear\",s.range=f.gauge.axis.range,s._id=\"xangularaxis\",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},I={},z=u.makeLabelFns(s,0).labelStandoff;I.xFn=function(t){var e=P(t);return Math.cos(e)*z},I.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},I.anchorFn=function(t){var e=P(t),r=Math.cos(e);return 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j=N.select(\"path\");y(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){A&&A()})).each(\"interrupt\",(function(){A&&A()})).attrTween(\"d\",(U=B,V=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(V,q);return function(e){return U.endAngle(t(e))()}})),f._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var U,V,q;j.call(x),N.exit().remove(),R=[];var H=f.gauge.threshold.value;H&&R.push({range:[H,H],color:f.gauge.threshold.color,line:{color:f.gauge.threshold.line.color,width:f.gauge.threshold.line.width},thickness:f.gauge.threshold.thickness});var G=T.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(L).call(x),G.exit().remove();var Y=T.selectAll(\"g.gauge-outline\").data([v]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(L).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=L.selectAll(\"g.bullet\").data(z?e:[]);G.exit().remove();var Y=L.selectAll(\"g.bulletaxis\").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var a,i,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,_=h.domain,w=n.transitionOpts,T=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",\"translate(\"+v.l+\", \"+v.t+\")\"),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var k=v.h,M=h.gauge.bar.thickness*k,A=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(a=b(t,h.gauge.axis))._id=\"xbulletaxis\",a.domain=[A,S],a.setScale(),i=u.calcTicks(a),o=u.makeTransFn(a),s=u.getTickSigns(a)[2],c=v.t+v.h,a.visible&&(u.drawTicks(t,a,{vals:\"inside\"===a.ticks?u.clipEnds(a,i):i,layer:p,path:u.makeTickPath(a,c,s),transFn:o}),u.drawLabels(t,a,{vals:i,layer:p,transFn:o,labelFns:u.makeLabelFns(a,c)}));function E(t){t.attr(\"width\",(function(t){return Math.max(0,a.c2p(t.range[1])-a.c2p(t.range[0]))})).attr(\"x\",(function(t){return a.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*k})).attr(\"height\",(function(t){return t.thickness*k}))}var C=[g].concat(h.gauge.steps),L=f.selectAll(\"g.bg-bullet\").data(C);L.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),L.select(\"rect\").call(E).call(x),L.exit().remove();var P=f.selectAll(\"g.value-bullet\").data([h.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(k-M)/2).call(x),y(w)?P.select(\"rect\").transition().duration(w.duration).ease(w.easing).each(\"end\",(function(){T&&T()})).each(\"interrupt\",(function(){T&&T()})).attr(\"width\",Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var I=r.filter((function(){return h.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(I);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",a.c2p(h.gauge.threshold.value)).attr(\"x2\",a.c2p(h.gauge.threshold.value)).attr(\"y1\",(1-h.gauge.threshold.thickness)/2*k).attr(\"y2\",(1-(1-h.gauge.threshold.thickness)/2)*k).call(d.stroke,h.gauge.threshold.line.color).style(\"stroke-width\",h.gauge.threshold.line.width),z.exit().remove();var O=f.selectAll(\"g.gauge-outline\").data([m]);O.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),O.select(\"rect\").call(E).call(x),O.exit().remove()}(t,0,e,{gauge:G,layer:Y,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var W=L.selectAll(\"text.title\").data(e);W.exit().remove(),W.enter().append(\"text\").classed(\"title\",!0),W.attr(\"text-anchor\",(function(){return 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a._trace=i,i.update(e),t.glplot.add(a),i}}},{\"../../components/colorscale\":627,\"../../lib/gl_format_color\":745,\"../../lib/str2rgbarray\":772,\"../../plots/gl3d/zip3\":851,\"gl-mesh3d\":292}],1095:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\"),i=t(\"./attributes\"),o=t(\"../../components/colorscale/defaults\");function s(t,e,r,n,i){var s=i(\"isomin\"),l=i(\"isomax\");null!=l&&null!=s&&s>l&&(e.isomin=null,e.isomax=null);var c=i(\"x\"),u=i(\"y\"),h=i(\"z\"),f=i(\"value\");c&&c.length&&u&&u.length&&h&&h.length&&f&&f.length?(a.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),[\"x\",\"y\",\"z\"].forEach((function(t){var e=\"caps.\"+t;i(e+\".show\")&&i(e+\".fill\");var r=\"slices.\"+t;i(r+\".show\")&&(i(r+\".fill\"),i(r+\".locations\"))})),i(\"spaceframe.show\")&&i(\"spaceframe.fill\"),i(\"surface.show\")&&(i(\"surface.count\"),i(\"surface.fill\"),i(\"surface.pattern\")),i(\"contour.show\")&&(i(\"contour.color\"),i(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach((function(t){i(t)})),o(t,e,n,i,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}e.exports={supplyDefaults:function(t,e,r,a){s(t,e,r,a,(function(r,a){return n.coerce(t,e,i,r,a)}))},supplyIsoDefaults:s}},{\"../../components/colorscale/defaults\":625,\"../../lib\":749,\"../../registry\":881,\"./attributes\":1092}],1096:[function(t,e,r){\"use 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n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../surface/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":623}],1099:[function(t,e,r){\"use strict\";var n=t(\"gl-mesh3d\"),a=t(\"delaunay-triangulate\"),i=t(\"alpha-shape\"),o=t(\"convex-hull\"),s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var f=h.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var a=[],i=e.length,o=0;o<i;o++)a[o]=t.d2l(e[o],0,n)*r;return a}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function m(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}f.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},f.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,h=t.x.length,f=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!m(t.i,h)||!m(t.j,h)||!m(t.k,h))return;n=u(g(t.i),g(t.j),g(t.k))}else n=0===t.alphahull?o(f):t.alphahull>0?i(t.alphahull,f):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],i=e.length,o=0;o<i;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return a(n)}(t.delaunayaxis,f);var v={positions:f,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\"#fff\";var x=t.intensitymode;v[x+\"Intensity\"]=t.intensity,v[x+\"IntensityBounds\"]=[y.min,y.max],v.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=p(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color));this.mesh.update(v)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new h(t,a,e.uid);return a._trace=i,i.update(e),t.glplot.add(a),i}},{\"../../components/colorscale\":627,\"../../lib/gl_format_color\":745,\"../../lib/str2rgbarray\":772,\"../../plots/gl3d/zip3\":851,\"alpha-shape\":69,\"convex-hull\":135,\"delaunay-triangulate\":171,\"gl-mesh3d\":292}],1100:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");e.exports=function(t,e,r,s){function l(r,n){return a.coerce(t,e,o,r,n)}function c(t){var e=t.map((function(t){var e=l(t);return e&&a.isArrayOrTypedArray(e)?e:null}));return e.every((function(t){return 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h(t){return{line:{color:n({},u.color,{dflt:t}),width:u.width,dash:i,editType:\"style\"},editType:\"style\"}}e.exports={xperiod:a.xperiod,xperiod0:a.xperiod0,xperiodalignment:a.xperiodalignment,x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},open:{valType:\"data_array\",editType:\"calc\"},high:{valType:\"data_array\",editType:\"calc\"},low:{valType:\"data_array\",editType:\"calc\"},close:{valType:\"data_array\",editType:\"calc\"},line:{width:n({},u.width,{}),dash:n({},i,{}),editType:\"style\"},increasing:h(l),decreasing:h(c),text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},tickwidth:{valType:\"number\",min:0,max:.5,dflt:.3,editType:\"calc\"},hoverlabel:n({},o.hoverlabel,{split:{valType:\"boolean\",dflt:!1,editType:\"style\"}})}},{\"../../components/drawing/attributes\":636,\"../../components/fx/attributes\":646,\"../../constants/delta.js\":718,\"../../lib\":749,\"../scatter/attributes\":1156}],1103:[function(t,e,r){\"use 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a,s,l=t.cd,c=t.xa,u=l[0].trace,h=l[0].t,f=u.type,p=\"ohlc\"===f?\"l\":\"min\",d=\"ohlc\"===f?\"h\":\"max\",g=h.bPos||0,m=h.bdPos||h.tickLen,v=h.wHover,y=Math.min(1,m/Math.abs(c.r2c(c.range[1])-c.r2c(c.range[0])));function x(t){var r=function(t){return t.pos+g-e}(t);return i.inbox(r-v,r+v,a)}function b(t){var e=t[p],n=t[d];return e===n||i.inbox(e-r,n-r,a)}function _(t){return(x(t)+b(t))/2}a=t.maxHoverDistance-y,s=t.maxSpikeDistance-y;var w=i.getDistanceFunction(n,x,b,_);if(i.getClosest(l,w,t),!1===t.index)return null;var T=l[t.index];if(T.empty)return null;var k=u[T.dir],M=k.line.color;return o.opacity(M)&&k.line.width?t.color=M:t.color=k.fillcolor,t.x0=c.c2p(T.pos+g-m,!0),t.x1=c.c2p(T.pos+g+m,!0),t.xLabelVal=void 0!==T.orig_p?T.orig_p:T.pos,t.spikeDistance=_(T)*s/a,t.xSpike=c.c2p(T.pos,!0),t}function h(t,e,r,i){var o=t.cd,s=t.ya,l=o[0].trace,c=o[0].t,h=[],f=u(t,e,r,i);if(!f)return[];var 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e=s.c2p(t.pos-c,!0),r=s.c2p(t.pos+c,!0),n=l?(e+r)/2:s.c2p(t.pos,!0);return\"M\"+e+\",\"+o.c2p(t.o,!0)+\"H\"+n+\"M\"+n+\",\"+o.c2p(t.h,!0)+\"V\"+o.c2p(t.l,!0)+\"M\"+r+\",\"+o.c2p(t.c,!0)+\"H\"+n}))}}))}},{\"../../lib\":749,d3:169}],1109:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r,n=t.cd,a=t.xaxis,i=t.yaxis,o=[],s=n[0].t.bPos||0;if(!1===e)for(r=0;r<n.length;r++)n[r].selected=0;else for(r=0;r<n.length;r++){var l=n[r];e.contains([a.c2p(l.pos+s),i.c2p(l.yc)],null,l.i,t)?(o.push({pointNumber:l.i,x:a.c2d(l.pos),y:i.c2d(l.yc)}),l.selected=1):l.selected=0}return o}},{}],1110:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../components/drawing\"),i=t(\"../../components/color\");e.exports=function(t,e,r){var o=r||n.select(t).selectAll(\"g.ohlclayer\").selectAll(\"g.trace\");o.style(\"opacity\",(function(t){return t[0].trace.opacity})),o.each((function(t){var e=t[0].trace;n.select(this).selectAll(\"path\").each((function(t){if(!t.empty){var 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n=t(\"../../lib/extend\").extendFlat,a=t(\"../../plots/attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/domain\").attributes,c=n({editType:\"calc\"},o(\"line\",{editTypeOverride:\"calc\"}),{shape:{valType:\"enumerated\",values:[\"linear\",\"hspline\"],dflt:\"linear\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\"]})});e.exports={domain:l({name:\"parcats\",trace:!0,editType:\"calc\"}),hoverinfo:n({},a.hoverinfo,{flags:[\"count\",\"probability\"],editType:\"plot\",arrayOk:!1}),hoveron:{valType:\"enumerated\",values:[\"category\",\"color\",\"dimension\"],dflt:\"category\",editType:\"plot\"},hovertemplate:s({editType:\"plot\",arrayOk:!1},{keys:[\"count\",\"probability\",\"category\",\"categorycount\",\"colorcount\",\"bandcolorcount\"]}),arrangement:{valType:\"enumerated\",values:[\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"perpendicular\",editType:\"plot\"},bundlecolors:{valType:\"boolean\",dflt:!0,editType:\"plot\"},sortpaths:{valType:\"enumerated\",values:[\"forward\",\"backward\"],dflt:\"forward\",editType:\"plot\"},labelfont:i({editType:\"calc\"}),tickfont:i({editType:\"calc\"}),dimensions:{_isLinkedToArray:\"dimension\",label:{valType:\"string\",editType:\"calc\"},categoryorder:{valType:\"enumerated\",values:[\"trace\",\"category 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0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){s.font(n.select(this),t.parcatsViewModel.labelfont)})),k.selectAll(\"rect.bandrect\").on(\"mouseover\",S).on(\"mouseout\",E),k.exit().remove(),T.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",C).on(\"drag\",L).on(\"dragend\",P)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function h(t){return t.key}function f(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function p(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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_=t.parcatsViewModel.x+a,w=t.parcatsViewModel.y+s,T=l.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,M=k/t.parcatsViewModel.model.count,A={countLabel:k,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",A.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",A.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(h)[0];i.loneHover({trace:f,x:_-d.left+g.left,y:w-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:C<_?\"right\":\"left\",hovertemplate:(f.line||{}).hovertemplate,hovertemplateLabels:A,eventData:[{data:f._input,fullData:f,count:k,probability:M}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h})}}}function g(t){if(!t.parcatsViewModel.dragDimension&&(x(n.select(this)),i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=I(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var a=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:a})}return e}function v(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var a=r[n],i=a.categories[t.model.categoryInds[n]];e[a.containerInd]=i.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function y(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=v(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function x(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function b(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return l.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function _(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function T(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function k(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){T(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var c={};c[i.dimensionInd]=i.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function M(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=T(a),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var c={};c[i.dimensionInd]=i.categoryValue,void 0!==a.rawColor&&(c.color=a.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function A(t,e){var r,a,i=n.select(e.parentNode).select(\"rect.catrect\"),o=i.node().getBoundingClientRect(),s=i.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,a=\"left\"):(r=o.left+o.width,a=\"right\");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},m=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&m.push([\"Count:\",g.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&m.push([\"P(\"+g.categoryLabel+\"):\",g.probabilityLabel].join(\" \"));var v=m.join(\"<br>\");return{trace:u,x:r-t.left,y:h-t.top,text:v,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:u.hovertemplate,hovertemplateLabels:g,eventData:[{data:u._input,fullData:u,count:f,category:p,probability:d}]}}function S(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,a=r._fullLayout,s=a._paperdiv.node().getBoundingClientRect(),c=t.parcatsViewModel.hoveron;if(\"color\"===c?(!function(t){var e=n.select(t).datum(),r=T(e);b(r),r.each((function(){o.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){o.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(this),M(this,\"plotly_hover\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=T(t);b(e),e.each((function(){o.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),k(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===c?e=A(s,this):\"color\"===c?e=function(t,e){var r,a,i=e.getBoundingClientRect(),o=n.select(e).datum(),s=o.categoryViewModel,c=s.parcatsViewModel,u=c.model.dimensions[s.model.dimensionInd],h=c.trace,f=i.y+i.height/2;c.dimensions.length>1&&u.displayInd===c.dimensions.length-1?(r=i.left,a=\"left\"):(r=i.left+i.width,a=\"right\");var p=s.model.categoryLabel,d=o.parcatsViewModel.model.count,g=0;o.categoryViewModel.bands.forEach((function(t){t.color===o.color&&(g+=t.count)}));var m=s.model.count,v=0;c.pathSelection.each((function(t){t.model.color===o.color&&(v+=t.model.count)}));var y=g/d,x=g/v,b=g/m,_={countLabel:d,categoryLabel:p,probabilityLabel:y.toFixed(3)},w=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&w.push([\"Count:\",_.countLabel].join(\" \")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(w.push(\"P(color \\u2229 \"+p+\"): \"+_.probabilityLabel),w.push(\"P(\"+p+\" | color): \"+x.toFixed(3)),w.push(\"P(color | \"+p+\"): \"+b.toFixed(3)));var T=w.join(\"<br>\"),k=l.mostReadable(o.color,[\"black\",\"white\"]);return{trace:h,x:r-t.left,y:f-t.top,text:T,color:o.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:k,fontSize:10,idealAlign:a,hovertemplate:h.hovertemplate,hovertemplateLabels:_,eventData:[{data:h._input,fullData:h,category:p,count:d,probability:y,categorycount:m,colorcount:v,bandcolorcount:g}]}}(s,this):\"dimension\"===c&&(e=function(t,e){var r=[];return n.select(e.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){r.push(A(t,this))})),r}(s,this)),e&&i.loneHover(e,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r})}}function E(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(x(e.pathSelection),_(e.dimensionSelection.selectAll(\"g.category\")),w(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),i.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?M(this,\"plotly_unhover\",n.event):k(this,\"plotly_unhover\",n.event)}}function C(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],a=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=a&&a<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<a&&a<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function L(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,a=e+1,i=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=i.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=i.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){i.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[a];void 0!==f&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&i.model.dragX+i.width>p.x&&(i.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=i.model.displayInd}B(t.parcatsViewModel),F(t.parcatsViewModel),O(t.parcatsViewModel),z(t.parcatsViewModel)}}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=I(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var a=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+a+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),h=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[h],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):k(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,B(t.parcatsViewModel),F(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){O(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function I(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),h),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function O(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),h);var a=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),h);r(t.dimensionSelection).attr(\"transform\",(function(t){return\"translate(\"+t.x+\", 0)\"})),r(a).attr(\"transform\",(function(t){return\"translate(0, \"+t.y+\")\"})),a.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),a.select(\".catlabel\").attr(\"text-anchor\",(function(t){return f(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return f(t)?t.width+5:-5})).each((function(t){var e,r;f(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var i=a.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h),s=i.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);i.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),w(s),i.each((function(){o.raiseToTop(this)})),i.exit().remove()}function D(t,e,r){var n,a=r[0],i=e.margin||{l:80,r:80,t:100,b:80},o=a.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),h=Math.floor(c*(s.y[1]-s.y[0])),f=s.x[0]*l+i.l,p=e.height-s.y[1]*e.height+i.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:a,x:f,y:p,width:u,height:h,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:i,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return a.dimensions&&(B(g),F(g)),g}function R(t,e,r,a,i){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(i)),c.push(o(1-i));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+a+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+a)+\" \"+l[s]+\",\"+(e[s]+a)+\" \"+(t[s]+r[s])+\",\"+(e[s]+a),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function F(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),a=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),i=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function h(t){var e=t.categoryInds.map((function(t,e){return a[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=h(e),a=h(r);return\"backward\"===t.sortpaths&&(n.reverse(),a.reverse()),n.push(e.valueInds[0]),a.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),a.unshift(r.rawColor)),n<a?-1:n>a?1:0}));for(var f=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=a[b][_],T=i[b];x[T]=n[T][w],n[T][w]+=m;var k=t.dimensions[T].categories[w],M=k.bands.length,A=k.bands[M-1];if(void 0===A||v.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:m,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[M-1];E.height+=m,E.count+=v.count}}y=\"hspline\"===t.pathShape?R(s,x,l,m,.5):R(s,x,l,m,0),f[g]={key:v.valueInds[0],model:v,height:m,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=f}function B(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var a=e[n].dimensionInd,i=t.model.dimensions[a];r.push(N(t,i))}t.dimensions=r}function N(t,e){var r,n=t.model.dimensions.length,a=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*a;var i,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),g=8*(h-f)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c<f;c++)l=m[c].categoryInd,o=e.categories[l],i=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:i,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+i+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){u(r,t,n,e)}},{\"../../components/drawing\":637,\"../../components/fx\":655,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../../plot_api/plot_api\":784,d3:169,tinycolor2:548}],1117:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,a){var i=t._fullLayout,o=i._paper,s=i._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,a)}},{\"./parcats\":1116}],1118:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/layout_attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:i({editType:\"plot\"}),tickfont:i({editType:\"plot\"}),rangefont:i({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},a.tickvals,{editType:\"plot\"}),ticktext:s({},a.ticktext,{editType:\"plot\"}),tickformat:s({},a.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/plot_template\":787,\"../../plots/cartesian/layout_attributes\":812,\"../../plots/domain\":825,\"../../plots/font_attributes\":826}],1119:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=n.bar.snapRatio;function c(t,e){return t*(1-l)+e*l}var u=n.bar.snapClose;function h(t,e){return t*(1-u)+e*u}function f(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var a=t?-1:1,i=0,o=e.length-1;if(a<0){var s=i;i=o,o=s}for(var l=e[i],u=l,f=i;a*f<a*o;f+=a){var p=f+a,d=e[p];if(a*r<a*h(l,d))return c(l,u);if(a*r<a*d||p===o)return c(d,l);u=l,l=d}}function p(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function d(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function g(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var e,r,n,a=m(t.brush.filter.getConsolidated(),t.height),i=[0],o=a.length?a[0][0]:null,s=0;s<a.length;s++)r=(e=a[s])[1]-e[0],i.push(o),i.push(r),(n=s+1)<a.length&&(o=a[n][0]-e[1]);return i.push(t.height),i}function m(t,e){return t.map((function(t){return t.map((function(t){return Math.max(0,t*e)})).sort(s)}))}function v(){a.select(document.body).style(\"cursor\",null)}function y(t){t.attr(\"stroke-dasharray\",g)}function x(t,e){var r=a.select(t).selectAll(\".highlight, .highlight-shadow\");y(e?r.transition().duration(n.bar.snapDuration).each(\"end\",e):r)}function b(t,e){var r,a=t.brush,i=NaN,o={};if(a.filterSpecified){var s=t.height,l=a.filter.getConsolidated(),c=m(l,s),u=NaN,h=NaN,f=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(h=r?r-1:NaN,p&&p[0]>e){f=r;break}}if(i=u,isNaN(i)&&(i=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]<c[f][0]-e?h:f),!isNaN(i)){var d=c[i],g=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return e>=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);g&&(o.interval=l[i],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var v=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r<v.length;r++){var x=[.25*v[Math.max(r-1,0)]+.75*v[r],.25*v[Math.min(r+1,v.length-1)]+.75*v[r]];if(y>=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function _(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.brush.svgBrush;i.wasDragged=!0,i._dragging=!0,i.grabbingBar?i.newExtent=[r-i.grabPoint,r+i.barLength-i.grabPoint].map(e.unitToPaddedPx.invert):i.newExtent=[i.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,i.extent=i.stayingIntervals.concat([i.newExtent]),i.brushCallback(e),x(t.parentNode)}function w(t,e){var r=b(e,e.height-a.mouse(t)[1]-2*n.verticalPadding),i=\"crosshair\";r.clickableOrdinalRange?i=\"pointer\":r.region&&(i=r.region+\"-resize\"),a.select(document.body).style(\"cursor\",i)}function T(t){t.on(\"mousemove\",(function(t){a.event.preventDefault(),t.parent.inBrushDrag||w(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||v()})).call(a.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:i,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){_(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,i=r.svgBrush;i._dragging||(w(t,e),_(t,e),e.brush.svgBrush.wasDragged=!1),i._dragging=!1,a.event.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,e.parent.inBrushDrag=!1,v(),!i.wasDragged)return i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&e.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,0===i.extent.length&&M(r)):M(r),i.brushCallback(e),x(t.parentNode),void i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[f(0,l,i.newExtent[0],i.stayingIntervals),f(1,l,i.newExtent[1],i.stayingIntervals)];var c=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(c?[i.newExtent]:[]),i.extent.length||M(r),i.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function k(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function A(t){for(var e,r=t.slice(),n=[],a=r.shift();a;){for(e=a.slice();(a=r.shift())&&a[0]<=e[1];)e[1]=Math.max(e[1],a[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,a,i){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(k)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=A(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=a,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:i}}},ensureAxisBrush:function(t){var e=t.selectAll(\".\"+n.cn.axisBrush).data(o,i);e.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(p).call(d).style(\"pointer-events\",\"auto\").attr(\"transform\",\"translate(0 \"+n.verticalPadding+\")\"),e.call(T).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var r=t.selectAll(\".highlight-shadow\").data(o);r.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",n.bar.strokeColor).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),r.attr(\"y1\",(function(t){return t.height})).call(y);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?A(t.sort(k)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[f(0,r,t[0],[]),f(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":749,\"../../lib/gup\":746,\"./constants\":1122,d3:169}],1120:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/get_data\").getModuleCalcData,i=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=a(t.calcdata,\"parcoords\")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcoords\"),i=e._has&&e._has(\"parcoords\");a&&!i&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.width,height:this.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":725,\"../../plots/get_data\":835,\"./plot\":1129,d3:169}],1121:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../components/colorscale\"),i=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return a.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=a.extractOpts(e.line).colorscale,a.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),i({lineColor:r,cscale:o})}},{\"../../components/colorscale\":627,\"../../lib\":749,\"../../lib/gup\":746}],1122:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:\"white\",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],1123:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),h=t(\"./constants\").maxDimensionCount,f=t(\"./merge_length\");function p(t,e,r,a){function i(r,a){return n.coerce(t,e,c.dimensions,r,a)}var o=i(\"values\"),s=i(\"visible\");if(o&&o.length||(s=e.visible=!1),s){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var h=i(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:h},l.setConvert(e._ax,a.layout),i(\"multiselect\");var f=i(\"constraintrange\");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,c,r,a)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),d.splice(h));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),f(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":625,\"../../components/colorscale/helpers\":626,\"../../lib\":749,\"../../plots/array_container_defaults\":793,\"../../plots/cartesian/axes\":798,\"../../plots/domain\":825,\"./attributes\":1118,\"./axisbrush\":1119,\"./constants\":1122,\"./merge_length\":1127}],1124:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":749}],1125:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1118,\"./base_plot\":1120,\"./calc\":1121,\"./defaults\":1123,\"./plot\":1129}],1126:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(mask,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,a){var i=t._gl;i.enable(i.SCISSOR_TEST),i.scissor(e,r,n,a),t.clear({color:[0,0,0,0],depth:1})}function f(t,e,r,n,a,i){var o=i.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,a-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,i.scissorX,i.scissorY,i.scissorWidth,i.viewBoxSize[1])),r.clearOnly||(i.count=2*c,i.offset=2*l*n,e(i),l*n+c<a&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),a=0,i=0;i<e;i++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*i+l];63===l&&0===o&&(c*=-1),n[a++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,a,i,o,l,c,u,h,f,p){for(var d=[[],[]],g=0;g<64;g++)d[0][g]=g===a?1:0,d[1][g]=g===i?1:0;var 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r,n,l,m,b,_=e.context,w=e.pick,T=e.regl,k={currentRafs:{},drawCompleted:!0,clearOnly:!1},M=function(t){for(var e={},r=0;r<=o;r+=4)e[v(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(T),A=T.texture(u),S=[];C(e);var E=T({profile:!1,blend:{enable:_,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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C(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),m=l[0]?l[0].values.length:0;var e=r.lines,a=w?e.color.map((function(t,r){return r/e.color.length})):e.color,i=function(t,e,r){for(var n,a=new Array(t*(o+4)),i=0,s=0;s<t;s++){for(var l=0;l<o;l++)a[i++]=l<e.length?e[l].paddedUnitValues[s]:.5;a[i++]=d(s,2),a[i++]=d(s,1),a[i++]=d(s,0),a[i++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return a}(m,l,a);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](g(n/4,e,r))}(M,m,i),_||w||(A=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var a,i,o,s=t.length,c=1/0,u=-1/0;for(a=0;a<s;a++)t[a].dim0.canvasX<c&&(c=t[a].dim0.canvasX,i=a),t[a].dim1.canvasX>u&&(u=t[a].dim1.canvasX,o=a);0===s&&h(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,a=[[],[]];for(n=0;n<64;n++){var i=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];a[0][n]=i[0],a[1][n]=i[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var s=e%8,c=(e-s)/8,u=Math.pow(2,s),h=l[e].brush.filter.get();if(!(h.length<2)){var f=x(h[0])[1];for(r=1;r<h.length;r++){var p=x(h[r]);for(n=f+1;n<p[0];n++)o[8*n+c]&=~u;f=Math.max(f,p[1])}}}var d={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:o};return b?b(d):b=T.texture(d),{maskTexture:b,maskHeight:2048,loA:a[0].slice(0,16),loB:a[0].slice(16,32),loC:a[0].slice(32,48),loD:a[0].slice(48,64),hiA:a[1].slice(0,16),hiB:a[1].slice(16,32),hiC:a[1].slice(32,48),hiD:a[1].slice(48,64)}}(_);for(a=0;a<s;a++){var d=t[a],g=d.dim0.crossfilterDimensionIndex,v=d.dim1.crossfilterDimensionIndex,M=d.canvasX,A=d.canvasY,C=M+d.panelSizeX;if(e||!S[g]||S[g][0]!==M||S[g][1]!==C){S[g]=[M,C];var L=y(r,i,o,a,g,v,M,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,_?0:w?2:1,p);k.clearOnly=n;var P=e?r.lines.blockLineCount:m;f(T,E,k,P,m,L)}}},readPixel:function(t,e){return T.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var a=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:a}),a},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",A.destroy(),b&&b.destroy(),M)M[e].destroy()},update:C}}},{\"../../lib\":749,\"./constants\":1122,glslify:413}],1127:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){var a,i;for(n||(n=1/0),a=0;a<e.length;a++)(i=e[a]).visible&&(n=Math.min(n,i[r].length));for(n===1/0&&(n=0),t._length=n,a=0;a<e.length;a++)(i=e[a]).visible&&(i._length=n);return n}},{}],1128:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"color-rgba\"),i=t(\"../../plots/cartesian/axes\"),o=t(\"../../lib\"),s=t(\"../../lib/svg_text_utils\"),l=t(\"../../components/drawing\"),c=t(\"../../components/colorscale\"),u=t(\"../../lib/gup\"),h=u.keyFun,f=u.repeat,p=u.unwrap,d=t(\"./helpers\"),g=t(\"./constants\"),m=t(\"./axisbrush\"),v=t(\"./lines\");function y(t,e,r){return o.aggNums(t,null,e,r)}function x(t,e){return _(y(Math.min,t,e),y(Math.max,t,e))}function b(t){var e=t.range;return e?_(e[0],e[1]):x(t.values,t._length)}function _(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function w(t,e,r,a,i){var o,s,l=b(r);return a?n.scale.ordinal().domain(a.map((o=n.format(r.tickformat),s=i,s?function(t,e){var r=s[e];return null==r?o(t):r}:o))).range(a.map((function(r){var n=(r-l[0])/(l[1]-l[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(l).range([t-e,e])}function T(t){if(t.tickvals){var e=b(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function k(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=a(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((a=t,function(t){return t[a]})));var a}));return function(t){return i.map((function(e){return e(t)}))}}function M(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function A(t,e,r){var i=p(e),s=i.trace,l=d.convertTypedArray(i.lineColor),u=s.line,h={color:a(g.deselectedLineColor)},f=c.extractOpts(u),m=f.reversescale?c.flipScale(i.cscale):i.cscale,v=s.domain,y=s.dimensions,x=t.width,_=s.labelangle,w=s.labelside,T=s.labelfont,M=s.tickfont,A=s.rangefont,S=o.extendDeepNoArrays({},u,{color:l.map(n.scale.linear().domain(b({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:g.blockLineCount,canvasOverdrag:g.overdrag*g.canvasPixelRatio}),E=Math.floor(x*(v.x[1]-v.x[0])),C=Math.floor(t.height*(v.y[1]-v.y[0])),L=t.margin||{l:80,r:80,t:100,b:80},P=E,I=C;return{key:r,colCount:y.filter(d.isVisible).length,dimensions:y,tickDistance:g.tickDistance,unitToColor:k(m),lines:S,deselectedLines:h,labelAngle:_,labelSide:w,labelFont:T,tickFont:M,rangeFont:A,layoutWidth:x,layoutHeight:t.height,domain:v,translateX:v.x[0]*x,translateY:t.height-v.y[1]*t.height,pad:L,canvasWidth:P*g.canvasPixelRatio+2*S.canvasOverdrag,canvasHeight:I*g.canvasPixelRatio,width:P,height:I,canvasPixelRatio:g.canvasPixelRatio}}function S(t,e,r){var a=r.width,i=r.height,s=r.dimensions,l=r.canvasPixelRatio,c=function(t){return a*t/Math.max(1,r.colCount-1)},u=g.verticalPadding/i,h=function(t,e){return n.scale.linear().range([e,t-e])}(i,g.verticalPadding),f={key:r.key,xScale:c,model:r,inBrushDrag:!1},p={};return f.dimensions=s.filter(d.isVisible).map((function(a,s){var v=function(t,e){return n.scale.linear().domain(b(t)).range([e,1-e])}(a,u),y=p[a.label];p[a.label]=(y||0)+1;var x=a.label+(y?\"__\"+y:\"\"),_=a.constraintrange,k=_&&_.length;k&&!Array.isArray(_[0])&&(_=[_]);var A=k?_.map((function(t){return t.map(v)})):[[-1/0,1/0]],S=a.values;S.length>a._length&&(S=S.slice(0,a._length));var E,C=a.tickvals;function L(t,e){return{val:t,text:E[e]}}function P(t,e){return t.val-e.val}if(Array.isArray(C)&&C.length){E=a.ticktext,Array.isArray(E)&&E.length?E.length>C.length?E=E.slice(0,C.length):C.length>E.length&&(C=C.slice(0,E.length)):E=C.map(n.format(a.tickformat));for(var I=1;I<C.length;I++)if(C[I]<C[I-1]){for(var z=C.map(L).sort(P),O=0;O<C.length;O++)C[O]=z[O].val,E[O]=z[O].text;break}}else C=void 0;return S=d.convertTypedArray(S),{key:x,label:a.label,tickFormat:a.tickformat,tickvals:C,ticktext:E,ordinal:d.isOrdinal(a),multiselect:a.multiselect,xIndex:s,crossfilterDimensionIndex:s,visibleIndex:a._index,height:i,values:S,paddedUnitValues:S.map(v),unitTickvals:C&&C.map(v),xScale:c,x:c(s),canvasX:c(s)*l,unitToPaddedPx:h,domainScale:w(i,g.verticalPadding,a,C,E),ordinalScale:T(a),parent:f,model:r,brush:m.makeBrush(t,k,A,(function(){t.linePickActive(!1)}),(function(){var e=f;e.focusLayer&&e.focusLayer.render(e.panels,!0);var r=M(e);!t.contextShown()&&r?(e.contextLayer&&e.contextLayer.render(e.panels,!0),t.contextShown(!0)):t.contextShown()&&!r&&(e.contextLayer&&e.contextLayer.render(e.panels,!0,!0),t.contextShown(!1))}),(function(r){if(f.focusLayer.render(f.panels,!0),f.pickLayer&&f.pickLayer.render(f.panels,!0),t.linePickActive(!0),e&&e.filterChanged){var n=v.invert,i=r.map((function(t){return t.map(n).sort(o.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(f.key,a._index,i)}}))}})),f}function E(t){t.classed(g.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\")}function C(t,e){var r=\"top\"===e?1:-1,n=t*Math.PI/180;return{dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function L(t,e){for(var r=e.panels||(e.panels=[]),n=t.data(),a=0;a<n.length-1;a++){var i=r[a]||(r[a]={}),o=n[a],s=n[a+1];i.dim0=o,i.dim1=s,i.canvasX=o.canvasX,i.panelSizeX=s.canvasX-o.canvasX,i.panelSizeY=e.model.canvasHeight,i.y=0,i.canvasY=0}}function P(t,e){return i.tickText(t._ax,e,!1).text}function I(t,e){if(t.ordinal)return\"\";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return P(t.model.dimensions[t.visibleIndex],n)}e.exports=function(t,e,r,a){var c=t._fullLayout,u=c._toppaper,y=c._glcontainer;!function(t){for(var e=0;e<t.length;e++)for(var r=0;r<t[e].length;r++)for(var n=t[e][r].trace,a=n.dimensions,o=0;o<a.length;o++){var s=a[o].values,l=a[o]._ax;l&&(l.range?l.range=_(l.range[0],l.range[1]):l.range=x(s,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=a[o].tickformat,i.calcTicks(l),l.cleanRange())}}(e);var b,w,T=(b=!0,w=!1,{linePickActive:function(t){return arguments.length?b=!!t:b},contextShown:function(t){return arguments.length?w=!!t:w}}),k=e.filter((function(t){return p(t).trace.visible})).map(A.bind(0,r)).map(S.bind(0,T,a));y.each((function(t,e){return o.extendFlat(t,k[e])}));var z=y.selectAll(\".gl-canvas\").each((function(t){t.viewModel=k[0],t.model=t.viewModel?t.viewModel.model:null})),O=null;z.filter((function(t){return t.pick})).style(\"pointer-events\",\"auto\").on(\"mousemove\",(function(t){if(T.linePickActive()&&t.lineLayer&&a&&a.hover){var e=n.event,r=this.width,i=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=i)return;var 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t.dimensions}),h);F.enter().append(\"g\").classed(g.cn.yAxis,!0),R.each((function(t){L(F,t)})),z.each((function(t){if(t.viewModel){!t.lineLayer||a?t.lineLayer=v(this,t):t.lineLayer.update(t),(t.key||0===t.key)&&(t.viewModel[t.key]=t.lineLayer);var e=!t.context||a;t.lineLayer.render(t.viewModel.panels,e)}})),F.attr(\"transform\",(function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"})),F.call(n.behavior.drag().origin((function(t){return t})).on(\"drag\",(function(t){var e=t.parent;T.linePickActive(!1),t.x=Math.max(-g.overdrag,Math.min(t.model.width+g.overdrag,n.event.x)),t.canvasX=t.x*t.model.canvasPixelRatio,F.sort((function(t,e){return t.x-e.x})).each((function(e,r){e.xIndex=r,e.x=t===e?e.x:e.xScale(e.xIndex),e.canvasX=e.x*e.model.canvasPixelRatio})),L(F,e),F.filter((function(e){return 0!==Math.abs(t.xIndex-e.xIndex)})).attr(\"transform\",(function(t){return\"translate(\"+t.xScale(t.xIndex)+\", 0)\"})),n.select(this).attr(\"transform\",\"translate(\"+t.x+\", 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I(t,!0)})).each((function(t){l.font(n.select(this),t.model.rangeFont)}));var G=V.selectAll(\".\"+g.cn.axisExtentBottom).data(f,h);G.enter().append(\"g\").classed(g.cn.axisExtentBottom,!0),G.attr(\"transform\",(function(t){return\"translate(0,\"+(t.model.height+g.axisExtentOffset)+\")\"}));var Y=G.selectAll(\".\"+g.cn.axisExtentBottomText).data(f,h);Y.enter().append(\"text\").classed(g.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(E),Y.text((function(t){return I(t,!1)})).each((function(t){l.font(n.select(this),t.model.rangeFont)})),m.ensureAxisBrush(B)}},{\"../../components/colorscale\":627,\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/gup\":746,\"../../lib/svg_text_utils\":773,\"../../plots/cartesian/axes\":798,\"./axisbrush\":1119,\"./constants\":1122,\"./helpers\":1124,\"./lines\":1126,\"color-rgba\":126,d3:169}],1129:[function(t,e,r){\"use strict\";var n=t(\"./parcoords\"),a=t(\"../../lib/prepare_regl\"),i=t(\"./helpers\").isVisible;function o(t,e,r){var n=e.indexOf(r),a=t.indexOf(n);return-1===a&&(a+=e.length),a}e.exports=function(t,e){var r=t._fullLayout;if(a(t)){var s={},l={},c={},u={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var a=u[r]=n._fullInput.index;s[r]=t.data[a].dimensions,l[r]=t.data[a].dimensions.slice()}));n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,a){var i=l[e][n],o=a.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",h=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===h[s]){var f=i.constraintrange;h[s]=f||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),i.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete i.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(i));s[e].sort(n),l[e].filter((function(t){return!i(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":762,\"./helpers\":1124,\"./parcoords\":1128}],1130:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,i=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=i({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":614,\"../../lib/extend\":739,\"../../plots/attributes\":794,\"../../plots/domain\":825,\"../../plots/font_attributes\":826,\"../../plots/template_attributes\":876}],1131:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,a,i){n.plotBasePlot(r.name,t,e,a,i)},r.clean=function(t,e,a,i){n.cleanBasePlot(r.name,t,e,a,i)}},{\"../../plots/plots\":861}],1132:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"tinycolor2\"),i=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=a(e)).isValid()&&(e=i.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),i=e[n];if(!i){for(i=t.slice(),r=0;r<t.length;r++)i.push(a(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)i.push(a(t[r]).darken(20).toHexString());e[n]=i}return i}e.exports={calc:function(t,e){var r,a,i=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<f;r++){var y,x,b;if(p){if(y=h[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=i.length,(b=-1!==l.indexOf(x))||(m+=y),i.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(a=i[_]).v+=y,a.pts.push(r),a.hidden||(m+=y),!1===a.color&&u[r]&&(a.color=g(u[r],x)))}return(\"funnelarea\"===e.type?v:e.sort)&&i.sort((function(t,e){return e.v-t.v})),i[0]&&(i[0].vTotal=m),i},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,a=t.calcdata,i=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(i=l(i,o));for(var c=0,u=0;u<a.length;u++){var h=a[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=i[c%i.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":615,\"fast-isnumeric\":241,tinycolor2:548}],1133:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),i=a.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,i?e.length:1/0);if(isFinite(o)||(o=0),o&&i){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:i,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return a.coerce(t,e,i,r,n)}var u=l(c(\"labels\"),c(\"values\")),h=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),h){e._length=h,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var f,p=c(\"text\"),d=c(\"texttemplate\");if(d||(f=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||f&&\"none\"!==f){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),a.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":749,\"../../plots/domain\":825,\"../bar/defaults\":895,\"./attributes\":1130,\"fast-isnumeric\":241}],1134:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":651}],1135:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function a(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=a((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=a(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{\"../../lib\":749}],1136:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1130,\"./base_plot\":1131,\"./calc\":1132,\"./defaults\":1133,\"./layout_attributes\":1137,\"./layout_defaults\":1138,\"./plot\":1139,\"./style\":1140,\"./style_one\":1141}],1137:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1138:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":749,\"./layout_attributes\":1137}],1139:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/plots\"),i=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../bar/uniform_text\"),h=u.recordMinTextSize,f=u.clearMinTextSize,p=t(\"../bar/constants\").TEXTPAD,d=t(\"./helpers\"),g=t(\"./event_data\"),m=t(\"../../lib\").isValidTextValue;function v(t,e,r){var a=r[0],o=a.trace,s=a.cx,c=a.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var h=u.hoverinfo;if(Array.isArray(h)&&(h=i.castHoverinfo({hoverinfo:[d.castOption(h,t.pts)],_module:o._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var f=t.rInscribed||0,p=s+t.pxmid[0]*(1-f),m=c+t.pxmid[1]*(1-f),v=r.separators,y=[];if(h&&-1!==h.indexOf(\"label\")&&y.push(t.label),t.text=d.castOption(u.hovertext||u.text,t.pts),h&&-1!==h.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=d.formatPieValue(t.v,v),h&&-1!==h.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/a.vTotal,t.percentLabel=d.formatPiePercent(t.percent,v),h&&-1!==h.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;i.loneHover({trace:o,x0:p-f*a.r,x1:p+f*a.r,y:m,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==h.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:d.castOption(b.bgcolor,t.pts)||t.color,borderColor:d.castOption(b.bordercolor,t.pts),fontFamily:d.castOption(_.family,t.pts),fontSize:d.castOption(_.size,t.pts),fontColor:d.castOption(_.color,t.pts),nameLength:d.castOption(b.namelength,t.pts),textAlign:d.castOption(b.align,t.pts),hovertemplate:d.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[g(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[g(t,u)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,a=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[g(s,a)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(i.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,a=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[g(t,a)],i.click(e,n.event))}))}function y(t,e,r){var n=d.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=d.castOption(t._input.textfont.color,e.pts));var a=d.castOption(t.insidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.insidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:a,size:i}}function x(t,e){for(var r,n,a=0;a<t.length;a++)if((n=(r=t[a][0]).trace).title.text){var i=n.title.text;n._meta&&(i=l.templateString(i,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(i).call(s.font,n.title.font).call(c.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function b(t,e,r){var n=r.r||e.rpx1,a=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-a,scale:0,rotate:0,textPosAngle:0};var i,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,a){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(i=\"tan\"===a?w(t,n,o,c,0):_(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(i)}};if(h||f){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(h||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||h){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((i={scale:a*n*2/y,rCenter:1-a,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,i.scale>=1)return i;g.push(i)}(d||p)&&((i=_(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i)),(d||f)&&((i=w(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i));for(var x=0,b=0,T=0;T<g.length;T++){var k=g[T].scale;if(b<k&&(b=k,x=T),!d&&b>=1)break}return g[x]}function _(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.width/t.height,o=M(i,n,e,r);return{scale:2*o/t.height,rCenter:T(i,o/e),rotate:k(a)}}function w(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.height/t.width,o=M(i,n,e,r);return{scale:2*o/t.width,rCenter:T(i,o/e),rotate:k(a+Math.PI/2)}}function T(t,e){return Math.cos(e)-t*e}function k(t){return(180/Math.PI*t+720)%180-90}function M(t,e,r,n){var a=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(a*a+.5)+a),n/(Math.sqrt(t*t+n/2)+t))}function A(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function S(t,e){var r=e.pxmid[0],n=e.pxmid[1],a=t.width/2,i=t.height/2;return r<0&&(a*=-1),n<0&&(i*=-1),{scale:1,rCenter:1,rotate:0,x:a+Math.abs(i)*(a>0?1:-1)/2,y:i/(1+r*r/(n*n)),outside:!0}}function E(t,e){var r,n,a,i=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=i.title.font.size,a=L(i),-1!==i.title.position.indexOf(\"top\")?(o.y-=(1+a)*t.r,s.ty-=t.titleBox.height):-1!==i.title.position.indexOf(\"bottom\")&&(o.y+=(1+a)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(i.domain.x[1]-i.domain.x[0])/2;return-1!==i.title.position.indexOf(\"left\")?(h+=u,o.x-=(1+a)*u,s.tx+=t.titleBox.width/2):-1!==i.title.position.indexOf(\"center\")?h*=2:-1!==i.title.position.indexOf(\"right\")&&(h+=u,o.x+=(1+a)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=C(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function C(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function L(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function P(t,e){for(var r=[],n=0;n<t.length;n++){var a=t[n][0],i=a.trace,o=i.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);i.title.text&&\"middle center\"!==i.title.position&&(l-=C(a,e));var c=s/2,u=l/2;\"funnelarea\"!==i.type||i.scalegroup||(u/=i.aspectratio),a.r=Math.min(c,u)/(1+L(i)),a.cx=e.l+e.w*(i.domain.x[1]+i.domain.x[0])/2,a.cy=e.t+e.h*(1-i.domain.y[0])-l/2,i.title.text&&-1!==i.title.position.indexOf(\"bottom\")&&(a.cy-=C(a,e)),i.scalegroup&&-1===r.indexOf(i.scalegroup)&&r.push(i.scalegroup)}!function(t,e){for(var r,n,a,i=0;i<e.length;i++){var o=1/0,s=e[i];for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var l;if(\"pie\"===a.type)l=r.r*r.r;else if(\"funnelarea\"===a.type){var c,u;a.aspectratio>1?(c=r.r,u=c/a.aspectratio):(u=r.r,c=u*a.aspectratio),c*=(1+a.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===a.type&&(h/=(1+a.baseratio)/2,h/=a.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function I(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,a=r.trace,i=a.texttemplate,o=a.textinfo;if(!i&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),p=u(\"value\"),g=u(\"percent\"),v=n.separators;if(s=h?[e.label]:[],f){var y=d.getFirstFilled(a.text,e.pts);m(y)&&s.push(y)}p&&s.push(d.formatPieValue(e.v,v)),g&&s.push(d.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(i){var x=l.castOption(a,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:d.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:d.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(a,t.i,\"customdata\")}}(e),_=d.getFirstFilled(a.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,a._meta||{})}else e.text=\"\"}}function O(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),a=Math.sin(r),i=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=i*n-o*a,t.textY=i*a+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,i=r._size;f(\"pie\",r),x(e,t),P(e,i);var u=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var u=n.select(this),f=e[0],p=f.trace;!function(t){var e,r,n,a=t[0],i=a.r,o=a.trace,s=o.rotation*Math.PI/180,l=2*Math.PI/a.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=I(i,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=I(i,s),r.midangle=s,s+=l*r.v/2,n=I(i,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>a.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/a.vTotal,.5),r.ring=1-o.hole,r.rInscribed=A(r,a))}(e),u.attr(\"stroke-linejoin\",\"round\"),u.each((function(){var g=n.select(this).selectAll(\"g.slice\").data(e);g.enter().append(\"g\").classed(\"slice\",!0),g.exit().remove();var m=[[[],[]],[[],[]]],x=!1;g.each((function(a,i){if(a.hidden)n.select(this).selectAll(\"path,g\").remove();else{a.pointNumber=a.i,a.curveNumber=p.index,m[a.pxmid[1]<0?0:1][a.pxmid[0]<0?0:1].push(a);var o=f.cx,u=f.cy,g=n.select(this),_=g.selectAll(\"path.surface\").data([a]);if(_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),g.call(v,t,e),p.pull){var w=+d.castOption(p.pull,a.pts)||0;w>0&&(o+=w*a.pxmid[0],u+=w*a.pxmid[1])}a.cxFinal=o,a.cyFinal=u;var T=p.hole;if(a.v===f.vTotal){var k=\"M\"+(o+a.px0[0])+\",\"+(u+a.px0[1])+L(a.px0,a.pxmid,!0,1)+L(a.pxmid,a.px0,!0,1)+\"Z\";T?_.attr(\"d\",\"M\"+(o+T*a.px0[0])+\",\"+(u+T*a.px0[1])+L(a.px0,a.pxmid,!1,T)+L(a.pxmid,a.px0,!1,T)+\"Z\"+k):_.attr(\"d\",k)}else{var M=L(a.px0,a.px1,!0,1);if(T){var A=1-T;_.attr(\"d\",\"M\"+(o+T*a.px1[0])+\",\"+(u+T*a.px1[1])+L(a.px1,a.px0,!1,T)+\"l\"+A*a.px0[0]+\",\"+A*a.px0[1]+M+\"Z\")}else _.attr(\"d\",\"M\"+o+\",\"+u+\"l\"+a.px0[0]+\",\"+a.px0[1]+M+\"Z\")}z(t,a,f);var E=d.castOption(p.textposition,a.pts),C=g.selectAll(\"g.slicetext\").data(a.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var g=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),m=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){var n=d.castOption(t.outsidetextfont.color,e.pts)||d.castOption(t.textfont.color,e.pts)||r.color,a=d.castOption(t.outsidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.outsidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:a,size:i}}(p,a,r.font):y(p,a,r.font));g.text(a.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m).call(c.convertToTspans,t);var v,_=s.bBox(g.node());if(\"outside\"===E)v=S(_,a);else if(v=b(_,a,f),\"auto\"===E&&v.scale<1){var w=l.ensureUniformFontSize(t,p.outsidetextfont);g.call(s.font,w),v=S(_=s.bBox(g.node()),a)}var T=v.textPosAngle,k=void 0===T?a.pxmid:I(f.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=u+k[1]*v.rCenter+(v.y||0),O(v,_),v.outside){var M=v.targetY;a.yLabelMin=M-_.height/2,a.yLabelMid=M,a.yLabelMax=M+_.height/2,a.labelExtraX=0,a.labelExtraY=0,x=!0}v.fontSize=m.size,h(p.type,v,r),e[i].transform=v,g.attr(\"transform\",l.getTextTransform(v))}))}function L(t,e,r,n){var i=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*f.r+\",\"+n*f.r+\" 0 \"+a.largeArc+(r?\" 1 \":\" 0 \")+i+\",\"+o}}));var _=n.select(this).selectAll(\"g.titletext\").data(p.title.text?[0]:[]);if(_.enter().append(\"g\").classed(\"titletext\",!0),_.exit().remove(),_.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),a=p.title.text;p._meta&&(a=l.templateString(a,p._meta)),r.text(a).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,p.title.font).call(c.convertToTspans,t),e=\"middle center\"===p.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(f):E(f,i),r.attr(\"transform\",\"translate(\"+e.x+\",\"+e.y+\")\"+(e.scale<1?\"scale(\"+e.scale+\")\":\"\")+\"translate(\"+e.tx+\",\"+e.ty+\")\")})),x&&function(t,e){var r,n,a,i,o,s,l,c,u,h,f,p,g;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var a,c,u,f,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),g=n?t.yLabelMin:t.yLabelMax,m=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-g;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<h.length;c++)(u=h[c])===t||(d.castOption(e.pull,t.pts)||0)>=(d.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-g-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(m+t.labelExtraY-v)*l>0&&(a=3*s*Math.abs(c-h.indexOf(t)),(f=u.cxFinal+i(u.px0[0],u.px1[0])+a-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=f)))}for(n=0;n<2;n++)for(a=n?m:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(i=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(a),u=t[1-n][r],h=u.concat(c),p=[],f=0;f<c.length;f++)void 0!==c[f].yLabelMid&&p.push(c[f]);for(g=!1,f=0;n&&f<u.length;f++)if(void 0!==u[f].yLabelMid){g=u[f];break}for(f=0;f<p.length;f++){var x=f&&p[f-1];g&&!f&&(x=g),y(p[f],x)}}}(m,p),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var a=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,a.attr(\"transform\",l.getTextTransform(t.transform));var i=t.cxFinal+t.pxmid[0],s=\"M\"+i+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],h=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(h)?s+=\"l\"+h*t.pxmid[0]/t.pxmid[1]+\",\"+h+\"H\"+(i+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(h-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(g,p),x&&p.automargin){var 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n=t(\"d3\"),a=t(\"./style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");i(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(a,t,e)}))}))}},{\"../bar/uniform_text\":907,\"./style_one\":1141,d3:169}],1141:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"./helpers\").castOption;e.exports=function(t,e,r){var i=r.marker.line,o=a(i.color,e.pts)||n.defaultLine,s=a(i.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":615,\"./helpers\":1135}],1142:[function(t,e,r){\"use strict\";var 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g=t._fullData[d].node;t._fullData[d]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var _=c(t,\"source:\")+\" \",w=c(t,\"target:\")+\" \",T=c(t,\"concentration:\")+\" \",k=c(t,\"incoming flow count:\")+\" \",M=c(t,\"outgoing flow count:\")+\" \";a(t,s,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(y.bind(0,r,a,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,a){if(!1!==t._fullLayout.hovermode){var s=a.link.trace.link;if(\"none\"!==s.hoverinfo&&\"skip\"!==s.hoverinfo){for(var l=[],c=0,h=0;h<a.flow.links.length;h++){var d=a.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||a.link.pointNumber===d.pointNumber){a.link.pointNumber===d.pointNumber&&(c=h),d.fullData=d.trace,s=a.link.trace.link;var g=v(d),m={valueLabel:n.format(a.valueFormat)(d.value)+a.valueSuffix};l.push({x:g[0],y:g[1],name:m.valueLabel,text:[d.label||\"\",_+d.source.label,w+d.target.label,d.concentrationscale?T+n.format(\"%0.2f\")(d.flow.labelConcentration):\"\"].filter(u).join(\"<br>\"),color:b(s,\"bgcolor\")||o.addOpacity(d.color,1),borderColor:b(s,\"bordercolor\"),fontFamily:b(s,\"font.family\"),fontSize:b(s,\"font.size\"),fontColor:b(s,\"font.color\"),nameLength:b(s,\"namelength\"),textAlign:b(s,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:s.hovertemplate,hovertemplateLabels:m,eventData:[d]})}}i.loneHover(l,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:c}).each((function(){a.link.concentrationscale||f(this,.65),p(this)}))}}function v(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=a.parent.translateX,n[1]+=a.parent.translateY,n}},unhover:function(e,a,o){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,a,o,!0)),\"skip\"!==a.link.trace.link.hoverinfo&&(a.link.fullData=a.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[a.link]})),i.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var a=r.link;a.originalEvent=n.event,t._hoverdata=[a],i.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,r,a),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,a){if(!1!==t._fullLayout.hovermode){var o=a.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var s=n.select(e).select(\".\"+l.nodeRect),c=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=s.node().getBoundingClientRect(),d=h.left-2-c.left,g=h.right+2-c.left,m=h.top+h.height/4-c.top,v={valueLabel:n.format(a.valueFormat)(a.node.value)+a.valueSuffix};a.node.fullData=a.node.trace;var y=i.loneHover({x0:d,x1:g,y:m,name:n.format(a.valueFormat)(a.node.value)+a.valueSuffix,text:[a.node.label,k+a.node.targetLinks.length,M+a.node.sourceLinks.length].filter(u).join(\"<br>\"),color:b(o,\"bgcolor\")||a.tinyColorHue,borderColor:b(o,\"bordercolor\"),fontFamily:b(o,\"font.family\"),fontSize:b(o,\"font.size\"),fontColor:b(o,\"font.color\"),nameLength:b(o,\"namelength\"),textAlign:b(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[a.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});f(y,.85),p(y)}}},unhover:function(e,a,o){!1!==t._fullLayout.hovermode&&(n.select(e).call(v,a,o),\"skip\"!==a.node.trace.node.hoverinfo&&(a.node.fullData=a.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[a.node]})),i.loneUnhover(r._hoverlayer.node()))},select:function(e,r,a){var o=r.node;o.originalEvent=n.event,t._hoverdata=[o],n.select(e).call(v,r,a),i.click(t,{target:!0})}}})}},{\"../../components/color\":615,\"../../components/fx\":655,\"../../lib\":749,\"./constants\":1149,\"./render\":1153,d3:169}],1153:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"tinycolor2\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"@plotly/d3-sankey\"),c=t(\"@plotly/d3-sankey-circular\"),u=t(\"d3-force\"),h=t(\"../../lib\"),f=t(\"../../lib/gup\"),p=f.keyFun,d=f.repeat,g=f.unwrap,m=t(\"d3-interpolate\").interpolateNumber,v=t(\"../../registry\");function y(t,e,r){var a,o=g(e),s=o.trace,u=s.domain,f=\"h\"===s.orientation,p=s.node.pad,d=s.node.thickness,m=t.width*(u.x[1]-u.x[0]),v=t.height*(u.y[1]-u.y[0]),y=o._nodes,x=o._links,b=o.circular;(a=b?c.sankeyCircular().circularLinkGap(0):l.sankey()).iterations(n.sankeyIterations).size(f?[m,v]:[v,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(y).links(x);var _,w,T,k=a();for(var M in a.nodePadding()<p&&h.warn(\"node.pad was reduced to \",a.nodePadding(),\" to fit within the figure.\"),o._groupLookup){var A,S=parseInt(o._groupLookup[M]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){A=k.nodes[_];break}if(A){var E={pointNumber:parseInt(M),x0:A.x0,x1:A.x1,y0:A.y0,y1:A.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),A.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var a=Object.keys(n);for(w=0;w<a.length;w++){var o=n[t=a[w]],s=0,l={};for(T=0;T<o.length;T++)l[(e=o[T]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(T=0;T<o.length;T++)(e=o[T]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=i(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<r.sourceLinks.length;w++)c+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/c;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),s.node.x.length&&s.node.y.length){for(_=0;_<Math.min(s.node.x.length,s.node.y.length,k.nodes.length);_++)if(s.node.x[_]&&s.node.y[_]){var C=[s.node.x[_]*m,s.node.y[_]*v];k.nodes[_].x0=C[0]-d/2,k.nodes[_].x1=C[0]+d/2;var L=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=C[1]-L/2,k.nodes[_].y1=C[1]+L/2}if(\"snap\"===s.arrangement)!function(t){t.forEach((function(t){var e,r,n,a=0,i=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<i;++n)(e=t[n]).y0>=a||(r=a-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),a=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),a=[],i=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(i+=1,e=s.x0),o=s.x0,a[i]||(a[i]=[]),a[i].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return a}(y=k.nodes));a.update(k)}return{circular:b,key:r,trace:s,guid:h.randstr(),horizontal:f,width:m,height:v,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?v:m,dragPerpendicular:f?m:v,arrangement:s.arrangement,sankey:a,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function x(t,e,r){var n=i(e.color),a=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:b,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function b(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,i=t.link.target.x0,o=m(a,i),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,f=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+c+\"C\"+s+\",\"+c+\" \"+l+\",\"+h+\" \"+i+\",\"+h+\"L\"+i+\",\"+f+\"C\"+l+\",\"+f+\" \"+s+\",\"+u+\" \"+a+\",\"+u+\"Z\"}}function _(t,e){var r=i(e.color),a=n.nodePadAcross,s=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var l=e.dx,c=Math.max(.5,e.dy),u=\"node_\"+e.pointNumber;return e.group&&(u=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:u,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(l),visibleHeight:c,zoneX:-a,zoneY:-s,zoneWidth:l+2*a,zoneHeight:c+2*s,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:o.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,u].join(\"_\"),interactionState:t.interactionState,figure:t}}function w(t){t.attr(\"transform\",(function(t){return\"translate(\"+t.node.x0.toFixed(3)+\", \"+t.node.y0.toFixed(3)+\")\"}))}function T(t){t.call(w)}function k(t,e){t.call(T),e.attr(\"d\",b())}function M(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function A(t){return t.link.width>1||t.linkLineWidth>0}function S(t){return\"translate(\"+t.translateX+\",\"+t.translateY+\")\"+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function E(t){return\"translate(\"+(t.horizontal?0:t.labelY)+\" \"+(t.horizontal?t.labelY:0)+\")\"}function C(t){return a.svg.line()([[t.horizontal?t.left?-t.sizeAcross:t.visibleWidth+n.nodeTextOffsetHorizontal:n.nodeTextOffsetHorizontal,0],[t.horizontal?t.left?-n.nodeTextOffsetHorizontal:t.sizeAcross:t.visibleHeight-n.nodeTextOffsetHorizontal,0]])}function L(t){return t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\"}function P(t){return t.horizontal?\"scale(1 1)\":\"scale(-1 1)\"}function I(t){return t.darkBackground&&!t.horizontal?\"rgb(255,255,255)\":\"rgb(0,0,0)\"}function z(t){return t.horizontal&&t.left?\"100%\":\"0%\"}function O(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,a){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var i=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=u.forceSimulation(i).alphaDecay(0).force(\"collide\",u.forceCollide().radius((function(t){return 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d=t.opacity;if(t.marker&&t.marker.opacity&&(d*=t.marker.opacity),r={gl:this.scene.glplot.gl,position:p.position,color:p.scatterColor,size:p.scatterSize,glyph:p.scatterMarker,opacity:d,orthographic:!0,lineWidth:p.scatterLineWidth,lineColor:p.scatterLineColor,project:p.project,projectScale:p.projectScale,projectOpacity:p.projectOpacity},-1!==this.mode.indexOf(\"markers\")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=a(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),c={gl:this.scene.glplot.gl,position:p.position,glyph:p.text,color:p.textColor,size:p.textSize,angle:p.textAngle,alignment:p.textOffset,font:p.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf(\"text\")?this.textMarkers?this.textMarkers.update(c):(this.textMarkers=a(c),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:this.scene.glplot.gl,position:p.position,color:p.errorColor,error:p.errorBounds,lineWidth:p.errorLineWidth,capSize:p.errorCapSize,opacity:t.opacity},this.errorBars?p.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):p.errorBounds&&(this.errorBars=i(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),p.delaunayAxis>=0){var g=function(t,e,r){var n,a=(r+1)%3,i=(r+2)%3,o=[],l=[];for(n=0;n<t.length;++n){var c=t[n];!isNaN(c[a])&&isFinite(c[a])&&!isNaN(c[i])&&isFinite(c[i])&&(o.push([c[a],c[i]]),l.push(n))}var u=s(o);for(n=0;n<u.length;++n)for(var h=u[n],f=0;f<h.length;++f)h[f]=l[h[f]];return{positions:t,cells:u,meshColor:e}}(p.position,p.delaunayColor,p.delaunayAxis);g.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(g):(g.gl=u,this.delaunayMesh=o(g),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else 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r.update(e),r}},{\"../../components/fx/helpers\":651,\"../../constants/gl3d_dashes\":721,\"../../constants/gl3d_markers\":722,\"../../lib\":749,\"../../lib/gl_format_color\":745,\"../../lib/str2rgbarray\":772,\"../../plots/cartesian/axes\":798,\"../scatter/make_bubble_size_func\":1173,\"./calc_errors\":1186,\"delaunay-triangulate\":171,\"gl-error3d\":264,\"gl-line3d\":271,\"gl-mesh3d\":292,\"gl-scatter3d\":308}],1188:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/text_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function h(r,n){return a.coerce(t,e,c,r,n)}if(function(t,e,r,a){var i=0,o=r(\"x\"),s=r(\"y\"),l=r(\"z\");n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],a),o&&s&&l&&(i=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=i);return i}(t,e,h,u)){h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),i.hasLines(e)&&(h(\"connectgaps\"),s(t,e,r,u,h)),i.hasMarkers(e)&&o(t,e,r,u,h,{noSelect:!0}),i.hasText(e)&&(h(\"texttemplate\"),l(t,e,u,h,{noSelect:!0}));var f=(e.line||{}).color,p=(e.marker||{}).color;h(\"surfaceaxis\")>=0&&h(\"surfacecolor\",f||p);for(var d=[\"x\",\"y\",\"z\"],g=0;g<3;++g){var m=\"projection.\"+d[g];h(m+\".show\")&&(h(m+\".opacity\"),h(m+\".scale\"))}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,f||p||r,{axis:\"z\"}),v(t,e,f||p||r,{axis:\"y\",inherit:\"z\"}),v(t,e,f||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":749,\"../../registry\":881,\"../scatter/line_defaults\":1169,\"../scatter/marker_defaults\":1175,\"../scatter/subtypes\":1181,\"../scatter/text_defaults\":1182,\"./attributes\":1184}],1189:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,h=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:h.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},a.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:i()}},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plots/attributes\":794,\"../../plots/template_attributes\":876,\"../scatter/attributes\":1156}],1191:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"../scatter/constants\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function p(r,a){return n.coerce(t,e,h,r,a)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<a.PTS_LINESONLY?\"lines+markers\":\"lines\"),i.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p(\"connectgaps\")),i.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),i.hasText(e)&&c(t,e,f,p);var v=[];(i.hasMarkers(e)||i.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),i.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":749,\"../scatter/constants\":1160,\"../scatter/fillcolor_defaults\":1164,\"../scatter/line_defaults\":1169,\"../scatter/line_shape_defaults\":1171,\"../scatter/marker_defaults\":1175,\"../scatter/subtypes\":1181,\"../scatter/text_defaults\":1182,\"./attributes\":1190}],1193:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){var i=n[a];return t.a=i.a,t.b=i.b,t.y=i.y,t}},{}],1194:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,a=n.ab2ij([t.a,t.b]),i=Math.floor(a[0]),o=a[0]-i,s=Math.floor(a[1]),l=a[1]-s,c=n.evalxy([],i,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1195:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"../../registry\"),i=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),h=t(\"../scatter/marker_defaults\"),f=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,g){function m(r,a){return n.coerce(t,e,o,r,a)}var v=!!t.marker&&i.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,g,m);if(x){u(t,e,g,m);var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";m(\"text\"),m(\"hovertext\"),m(\"hovertemplate\"),m(\"mode\",b),l.hasLines(e)&&(m(\"connectgaps\"),f(t,e,r,g,m),m(\"line.shape\")),l.hasMarkers(e)&&(h(t,e,r,g,m),m(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(m(\"texttemplate\"),d(t,e,g,m));var _=(e.line||{}).color,w=(e.marker||{}).color;m(\"fill\"),\"none\"!==e.fill&&p(t,e,r,m);var T=a.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,m)}else e.visible=!1}},{\"../../lib\":749,\"../../registry\":881,\"../scatter/constants\":1160,\"../scatter/fillcolor_defaults\":1164,\"../scatter/line_defaults\":1169,\"../scatter/marker_defaults\":1175,\"../scatter/period_defaults\":1176,\"../scatter/subtypes\":1181,\"../scatter/text_defaults\":1182,\"../scatter/xy_defaults\":1183,\"./attributes\":1208,\"./helpers\":1215}],1213:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(h.length||f.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var _=b?x[r]:x;m.color[r]=y||(v?_:a.addOpacity(_,i))}}c.glText[u].update(m)}}},{\"../../components/color\":615,\"../../constants/interactions\":723,\"../../lib\":749}],1214:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var a=t.i;return\"x\"in t||(t.x=e._x[a]),\"y\"in t||(t.y=e._y[a]),n(t,e,r)}},{\"../scatter/format_labels\":1165}],1215:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1210}],1216:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=Array.isArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=a.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=Array.isArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family);var d=o.marker;d&&(f.ms=a.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=a.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=a.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.mc=a.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var g=d&&d.line;g&&(f.mlc=Array.isArray(g.color)?g.color[h]:g.color,f.mlw=a.isArrayOrTypedArray(g.width)?g.width[h]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(f.mgt=Array.isArray(m.type)?m.type[h]:m.type,f.mgc=Array.isArray(m.color)?m.color[h]:m.color);var v=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=a.isArrayOrTypedArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=a.isArrayOrTypedArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var T={};T[t.index]=f;var k=o._origX,M=o._origY,A=a.extendFlat({},t,{color:i(o,f),x0:v-x,x1:v+x,xLabelVal:k?k[h]:f.x,y0:y-x,y1:y+x,yLabelVal:M?M[h]:f.y,cd:T,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?A.text=f.htx:f.tx?A.text=f.tx:o.text&&(A.text=o.text),a.fillText(f,o,A),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,A),A}e.exports={hoverPoints:function(t,e,r,n){var a,i,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,m=d[0].trace,v=t.xa,y=t.ya,x=g.x,b=g.y,_=v.c2p(e),w=y.c2p(r),T=t.distance;if(g.tree){var k=v.p2c(_-T),M=v.p2c(_+T),A=y.p2c(w-T),S=y.p2c(w+T);a=\"x\"===n?g.tree.range(Math.min(k,M),Math.min(y._rl[0],y._rl[1]),Math.max(k,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(k,M),Math.min(A,S),Math.max(k,M),Math.max(A,S))}else a=g.ids;var E=T;if(\"x\"===n)for(c=0;c<a.length;c++)s=x[a[c]],(u=Math.abs(v.c2p(s)-_))<E&&(E=u,h=y.c2p(b[a[c]])-w,p=Math.sqrt(u*u+h*h),i=a[c]);else for(c=a.length-1;c>-1;c--)s=x[a[c]],l=b[a[c]],u=v.c2p(s)-_,h=y.c2p(l)-w,(f=Math.sqrt(u*u+h*h))<E&&(E=p=f,i=a[c]);return t.index=i,t.distance=E,t.dxy=p,void 0===i?[t]:[o(t,x,b,m)]},calcHover:o}},{\"../../lib\":749,\"../../registry\":881,\"../scatter/get_trace_color\":1166}],1217:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":811,\"../scatter/cross_trace_defaults\":1162,\"../scatter/marker_colorbar\":1174,\"./attributes\":1208,\"./calc\":1209,\"./defaults\":1212,\"./format_labels\":1214,\"./hover\":1216,\"./plot\":1218,\"./select\":1220}],1218:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"regl-line2d\"),i=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),h=t(\"../scatter/link_traces\"),f=t(\"./edit_style\").styleTextSelection;function p(t,e,r){var n=t._size,a=t.width,i=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,a-n.r-(1-e.domain[1])*n.w,i-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(h(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=i(_)),!0===v.line2d&&(v.line2d=a(_)),!0===v.scatter2d&&(v.scatter2d=n(_,{constPointSize:!0})),!0===v.fill2d&&(v.fill2d=a(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new 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Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&f(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":633,\"../../lib\":749,\"../../lib/prepare_regl\":762,\"../scatter/link_traces\":1172,\"../scatter/subtypes\":1181,\"./edit_style\":1213,\"gl-text\":326,\"regl-error2d\":508,\"regl-line2d\":509,\"regl-scatter2d\":510}],1219:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,a={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},i={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,i,a)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var a=0;a<r.count;a++)r.glText[a].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,a=r.error2d,i=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),i&&r.lineOptions[h]&&i.draw(h),a&&(r.errorXOptions[h]&&a.draw(h),r.errorYOptions[h]&&a.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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i;var p=n.hasText(o),d=n.hasMarkers(o),g=!d&&!p;if(!0!==o.visible||g)return i;var m=[],v=[];if(!1!==e&&!e.degenerate)for(var y=0;y<l;y++)e.contains([s.xpx[y],s.ypx[y]],!1,y,t)?(m.push(y),i.push({pointNumber:y,x:c[y],y:u[y]})):v.push(y);if(d){var x=h.scatter2d;if(m.length||v.length){if(!h.selectBatch[f].length&&!h.unselectBatch[f].length){var b=new Array(h.count);b[f]=h.markerUnselectedOptions[f],x.update.apply(x,b)}}else{var _=new Array(h.count);_[f]=h.markerOptions[f],x.update.apply(x,_)}}return h.selectBatch[f]=m,h.unselectBatch[f]=v,p&&a(r),i}},{\"../scatter/subtypes\":1181,\"./edit_style\":1213}],1221:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll,f=i.line,p=i.marker;e.exports=h({lon:i.lon,lat:i.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:a({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:f.color,width:f.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:i.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/mapbox/layout_attributes\":857,\"../../plots/template_attributes\":876,\"../scatter/attributes\":1156,\"../scattergeo/attributes\":1198}],1222:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),h=t(\"../../plots/mapbox/convert_text_opts\"),f=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function g(){return{geojson:o.makeBlank(),layout:{visibility:\"none\"},paint:{}}}function m(t,e){return a.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return\"\"}function y(t){return t[0]===i}e.exports=function(t,e){var r,i=e[0].trace,x=!0===i.visible&&0!==i._length,b=\"none\"!==i.fill,_=u.hasLines(i),w=u.hasMarkers(i),T=u.hasText(i),k=w&&\"circle\"===i.marker.symbol,M=w&&\"circle\"!==i.marker.symbol,A=g(),S=g(),E=g(),C=g(),L={fill:A,line:S,circle:E,symbol:C};if(!x)return L;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(A.geojson=o.makePolygon(r),A.layout.visibility=\"visible\",a.extendFlat(A.paint,{\"fill-color\":i.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility=\"visible\",a.extendFlat(S.paint,{\"line-width\":i.line.width,\"line-color\":i.line.color,\"line-opacity\":i.opacity})),k){var P=function(t){var e,r,i,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=a.isArrayOrTypedArray(h.color),d=a.isArrayOrTypedArray(h.size),g=a.isArrayOrTypedArray(h.opacity);function m(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(h):a.identity);d&&(i=c(u));g&&(o=function(t){return m(n(t)?+a.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var b=t[e],_=b.lonlat;if(!y(_)){var w={};r&&(w.mcc=b.mcc=r(b.mc)),i&&(w.mrc=b.mrc=i(b.ms)),o&&(w.mo=o(b.mo)),f&&(w.selected=b.selected||0),x.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_},properties:w})}}if(f)for(v=l.makeSelectedPointStyleFns(u),e=0;e<x.length;e++){var T=x[e].properties;v.selectedOpacityFn&&(T.mo=m(v.selectedOpacityFn(T))),v.selectedColorFn&&(T.mcc=v.selectedColorFn(T)),v.selectedSizeFn&&(T.mrc=v.selectedSizeFn(T))}return{geojson:{type:\"FeatureCollection\",features:x},mcc:p||v&&v.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||v&&v.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(k=h.size,k/2),mo:g||v&&v.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:m(h.opacity)};var k}(e);E.geojson=P.geojson,E.layout.visibility=\"visible\",a.extendFlat(E.paint,{\"circle-color\":P.mcc,\"circle-radius\":P.mrc,\"circle-opacity\":P.mo})}if((M||T)&&(C.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,i=n.marker||{},o=i.symbol,s=i.angle,l=\"circle\"!==o?m(o):v,c=\"auto\"!==s?m(s,!0):v,h=u.hasText(n)?m(n.text):v,g=[],x=0;x<t.length;x++){var b=t[x];if(!y(b.lonlat)){var _,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[x]||\"\":w,k=n._module.formatLabels(b,n,r),M={};f(M,n,b.i);var A=n._meta||{};_=a.texttemplateString(T,k,r._d3locale,M,b,A)}else _=h(x);_&&(_=_.replace(p,\"\").replace(d,\"\\n\")),g.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:b.lonlat},properties:{symbol:l(x),angle:c(x),text:_}})}}return{type:\"FeatureCollection\",features:g}}(e,t),a.extendFlat(C.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),M&&(a.extendFlat(C.layout,{\"icon-size\":i.marker.size/10}),\"angle\"in i.marker&&\"auto\"!==i.marker.angle&&a.extendFlat(C.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),C.layout[\"icon-allow-overlap\"]=i.marker.allowoverlap,a.extendFlat(C.paint,{\"icon-opacity\":i.opacity*i.marker.opacity,\"icon-color\":i.marker.color})),T)){var I=(i.marker||{}).size,z=h(i.textposition,I);a.extendFlat(C.layout,{\"text-size\":i.textfont.size,\"text-anchor\":z.anchor,\"text-offset\":z.offset}),a.extendFlat(C.paint,{\"text-color\":i.textfont.color,\"text-opacity\":i.opacity})}return L}},{\"../../components/colorscale\":627,\"../../components/drawing\":637,\"../../components/fx/helpers\":651,\"../../constants/numerical\":724,\"../../lib\":749,\"../../lib/geojson_utils\":743,\"../../lib/svg_text_utils\":773,\"../../plots/mapbox/convert_text_opts\":854,\"../scatter/make_bubble_size_func\":1173,\"../scatter/subtypes\":1181,\"fast-isnumeric\":241}],1223:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),i=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function h(r,a){return n.coerce(t,e,c,r,a)}if(function(t,e,r){var n=r(\"lon\")||[],a=r(\"lat\")||[],i=Math.min(n.length,a.length);return e._length=i,i}(0,e,h)){if(h(\"text\"),h(\"texttemplate\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),h(\"below\"),a.hasLines(e)&&(o(t,e,r,u,h,{noDash:!0}),h(\"connectgaps\")),a.hasMarkers(e)){i(t,e,r,u,h,{noLine:!0}),h(\"marker.allowoverlap\"),h(\"marker.angle\");var f=e.marker;\"circle\"!==f.symbol&&(n.isArrayOrTypedArray(f.size)&&(f.size=f.size[0]),n.isArrayOrTypedArray(f.color)&&(f.color=f.color[0]))}a.hasText(e)&&s(t,e,u,h,{noSelect:!0}),h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)}else 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i=e.children,o=i.indexOf(t),s=i.length,l=n.interpolate(r.x0,r.x1);a.x0=l(o/s),a.x1=l(o/s)}else a.x0=a.x1=0;return a}g&&(W=W.transition().each(\"end\",(function(){var e=n.select(this);y.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),W.each((function(a){var l=n.select(this),u=o.ensureSingle(l,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",\"all\")}));a.rpx0=j(a.y0),a.rpx1=j(a.y1),a.xmid=(a.x0+a.x1)/2,a.pxmid=U(a.rpx1,a.xmid),a.midangle=-(a.xmid-Math.PI/2),a.startangle=-(a.x0-Math.PI/2),a.stopangle=-(a.x1-Math.PI/2),a.halfangle=.5*Math.min(o.angleDelta(a.x0,a.x1)||Math.PI,Math.PI),a.ring=1-a.rpx0/a.rpx1,a.rInscribed=function(t){return 0===t.rpx0&&o.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(a),g?u.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=O[y.getPtId(t)],a={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(z)if(t.parent)if(G){var i=t.x1>G?2*Math.PI:0;e={x0:i,x1:i}}else e={rpx0:L,rpx1:L},o.extendFlat(e,Z(t));else e={rpx0:0,rpx1:0};else e={x0:0,x1:0};return n.interpolate(e,a)}(t);return function(t){return V(e(t))}})):u.attr(\"d\",V),l.call(m,k,t,e,{eventDataKeys:v.eventDataKeys,transitionTime:v.CLICK_TRANSITION_TIME,transitionEasing:v.CLICK_TRANSITION_EASING}).call(y.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),u.call(d,a,w);var x=o.ensureSingle(l,\"g\",\"slicetext\"),b=o.ensureSingle(x,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=o.ensureUniformFontSize(t,y.determineTextFont(w,a,h.font));b.text(r.formatSliceLabel(a,k,w,e,h)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(i.font,T).call(s.convertToTspans,t);var M=i.bBox(b.node());a.transform=p(M,a,_),a.transform.targetX=q(a),a.transform.targetY=H(a);var A=function(t,e){var r=t.transform;return f(r,e),r.fontSize=T.size,c(w.type,r,h),o.getTextTransform(r)};g?b.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=O[y.getPtId(t)],a=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:a.textPosAngle,scale:0,rotate:a.rotate,rCenter:a.rCenter,x:a.x,y:a.y}},z)if(t.parent)if(G){var i=t.x1>G?2*Math.PI:0;e.x0=e.x1=i}else o.extendFlat(e,Z(t));else e.x0=e.x1=0;else e.x0=e.x1=0;var s=n.interpolate(e.transform.textPosAngle,t.transform.textPosAngle),l=n.interpolate(e.rpx1,t.rpx1),u=n.interpolate(e.x0,t.x0),f=n.interpolate(e.x1,t.x1),p=n.interpolate(e.transform.scale,a.scale),d=n.interpolate(e.transform.rotate,a.rotate),g=0===a.rCenter?3:0===e.transform.rCenter?1/3:1,m=n.interpolate(e.transform.rCenter,a.rCenter);return function(t){var e=l(t),r=u(t),n=f(t),i=function(t){return m(Math.pow(t,g))}(t),o={pxmid:U(e,(r+n)/2),rpx1:e,transform:{textPosAngle:s(t),rCenter:i,x:a.x,y:a.y}};return c(w.type,a,h),{transform:{targetX:q(o),targetY:H(o),scale:p(t),rotate:d(t),rCenter:i}}}}(t);return function(t){return A(e(t),M)}})):b.attr(\"transform\",A(a,M))}))}function b(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,a){var i,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,h=!s.uniformtext.mode&&y.hasTransition(r);(u(\"sunburst\",s),(i=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),i.order(),h)?(a&&(o=a()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){x(t,e,this,r)}))}))):(i.each((function(e){x(t,e,this,r)})),s.uniformtext.mode&&g(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\"));c&&i.exit().remove()},r.formatSliceLabel=function(t,e,r,n,a){var i=r.texttemplate,s=r.textinfo;if(!(i||s&&\"none\"!==s))return\"\";var l=a.separators,c=n[0],u=t.data.data,h=c.hierarchy,f=y.isHierarchyRoot(t),p=y.getParent(h,t),d=y.getValue(t);if(!i){var g,m=s.split(\"+\"),v=function(t){return-1!==m.indexOf(t)},x=[];if(v(\"label\")&&u.label&&x.push(u.label),u.hasOwnProperty(\"v\")&&v(\"value\")&&x.push(y.formatValue(u.v,l)),!f){v(\"current path\")&&x.push(y.getPath(t.data));var b=0;v(\"percent parent\")&&b++,v(\"percent entry\")&&b++,v(\"percent root\")&&b++;var _=b>1;if(b){var w,T=function(t){g=y.formatPercent(w,l),_&&(g+=\" of \"+t),x.push(g)};v(\"percent parent\")&&!f&&(w=d/y.getValue(p),T(\"parent\")),v(\"percent entry\")&&(w=d/y.getValue(e),T(\"entry\")),v(\"percent root\")&&(w=d/y.getValue(h),T(\"root\"))}}return v(\"text\")&&(g=o.castOption(r,u.i,\"text\"),o.isValidTextValue(g)&&x.push(g)),x.join(\"<br>\")}var k=o.castOption(r,u.i,\"texttemplate\");if(!k)return\"\";var M={};u.label&&(M.label=u.label),u.hasOwnProperty(\"v\")&&(M.value=u.v,M.valueLabel=y.formatValue(u.v,l)),M.currentPath=y.getPath(t.data),f||(M.percentParent=d/y.getValue(p),M.percentParentLabel=y.formatPercent(M.percentParent,l),M.parent=y.getPtLabel(p)),M.percentEntry=d/y.getValue(e),M.percentEntryLabel=y.formatPercent(M.percentEntry,l),M.entry=y.getPtLabel(e),M.percentRoot=d/y.getValue(h),M.percentRootLabel=y.formatPercent(M.percentRoot,l),M.root=y.getPtLabel(h),u.hasOwnProperty(\"color\")&&(M.color=u.color);var A=o.castOption(r,u.i,\"text\");return(o.isValidTextValue(A)||\"\"===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,\"customdata\"),o.texttemplateString(k,M,a._d3locale,M,r._meta||{})}},{\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../bar/style\":905,\"../bar/uniform_text\":907,\"../pie/plot\":1139,\"./constants\":1271,\"./fx\":1273,\"./helpers\":1274,\"./style\":1279,d3:169,\"d3-hierarchy\":161}],1279:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../components/color\"),i=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=i.castOption(r,s,\"marker.line.color\")||a.defaultLine,c=i.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(a.fill,n.color).call(a.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":615,\"../../lib\":749,\"../bar/uniform_text\":907,d3:169}],1280:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var u=e.exports=l(s({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:i(),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},a(\"\",{colorAttr:\"z or 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0},{\"../../components/color\":615,\"../../components/colorscale/attributes\":622,\"../../lib/extend\":739,\"../../plot_api/edit_types\":780,\"../../plots/attributes\":794,\"../../plots/template_attributes\":876}],1281:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":623}],1282:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),a=t(\"ndarray\"),i=t(\"ndarray-linear-interpolate\").d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),h=t(\"../../components/colorscale\").extractOpts;function f(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=f.prototype;p.getXat=function(t,e,r,n){var a=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?a:n.d2l(a,0,r)},p.getYat=function(t,e,r,n){var a=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?a:n.d2l(a,0,r)},p.getZat=function(t,e,r,n){var a=this.data.z[e][t];return null===a&&this.data.connectgaps&&this.data._interpolatedZ&&(a=this.data._interpolatedZ[e][t]),void 0===r?a:n.d2l(a,0,r)},p.handlePick=function(t){if(t.object===this.surface){var 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M=[!0,!0,!0],A=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[A[e]];M[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=M,p.enableHighlight=M,p.snapToData=!0,\"lighting\"in 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n=t(\"../../components/annotations/attributes\"),a=t(\"../../lib/extend\").extendFlat,i=t(\"../../plot_api/edit_types\").overrideAll,o=t(\"../../plots/font_attributes\"),s=t(\"../../plots/domain\").attributes;t(\"../../constants/docs\").FORMAT_LINK;(e.exports=i({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[]},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:a({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:a({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[]},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:20},align:a({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:a({},o({arrayOk:!0}))}},\"calc\",\"from-root\")).transforms=void 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i.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e(\"columnorder\",o)}(e,s),s(\"cells.values\"),s(\"cells.format\"),s(\"cells.align\"),s(\"cells.prefix\"),s(\"cells.suffix\"),s(\"cells.height\"),s(\"cells.line.width\"),s(\"cells.line.color\"),s(\"cells.fill.color\"),n.coerceFont(s,\"cells.font\",n.extendFlat({},o.font)),e._length=null}},{\"../../lib\":749,\"../../plots/domain\":825,\"./attributes\":1285}],1292:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),moduleType:\"trace\",name:\"table\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1285,\"./base_plot\":1286,\"./calc\":1287,\"./defaults\":1291,\"./plot\":1293}],1293:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"../../lib/gup\"),o=t(\"../../components/drawing\"),s=t(\"../../lib/svg_text_utils\"),l=t(\"../../lib\").raiseToTop,c=t(\"../../lib\").cancelTransition,u=t(\"./data_preparation_helper\"),h=t(\"./data_split_helpers\"),f=t(\"../../components/color\");function p(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function d(t,e){return\"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function g(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function m(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function v(t,e,r){var o=t.selectAll(\".\"+n.cn.scrollbarKit).data(i.repeat,i.keyFun);o.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),o.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return z(e,e.length-1)+(e.length?O(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-M(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){return\"translate(\"+(t.width+n.scrollbarWidth/2+n.scrollbarOffset)+\" \"+M(t)+\")\"}));var s=o.selectAll(\".\"+n.cn.scrollbar).data(i.repeat,i.keyFun);s.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=s.selectAll(\".\"+n.cn.scrollbarSlider).data(i.repeat,i.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return\"translate(0 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n=a.event.y,i=this.getBoundingClientRect(),o=r.scrollbarState,s=n-i.top,l=a.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||S(e,t,null,l(s-o.barLength/2))(r)})).call(a.behavior.drag().origin((function(t){return a.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t})).on(\"drag\",S(e,t)).on(\"dragend\",(function(){}))),u.attr(\"y2\",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(c.remove(),u.remove())}function y(t,e,r,s){var l=function(t){var e=t.selectAll(\".\"+n.cn.columnCell).data(h.splitToCells,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.columnCell,!0),e.exit().remove(),e}(function(t){var e=t.selectAll(\".\"+n.cn.columnCells).data(i.repeat,i.keyFun);return e.enter().append(\"g\").classed(n.cn.columnCells,!0),e.exit().remove(),e}(r));!function(t){t.each((function(t,e){var 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h,f,p=u?\"\":_(t.calcdata.cells.prefix,e,r)||\"\",d=u?\"\":_(t.calcdata.cells.suffix,e,r)||\"\",g=u?null:_(t.calcdata.cells.format,e,r)||null,m=p+(g?a.format(g)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!u&&(h=b(m)),t.cellHeightMayIncrease=s||u||t.mayHaveMarkup||(void 0===h?b(m):h),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var v=(\" \"===n.wrapSplitCharacter?m.replace(/<a href=/gi,\"<a_href=\"):m).split(n.wrapSplitCharacter),y=\" \"===n.wrapSplitCharacter?v.map((function(t){return t.replace(/<a_href=/gi,\"<a href=\")})):v;t.fragments=y.map((function(t){return{text:t,width:null}})),t.fragments.push({fragment:n.wrapSpacer,width:null}),f=y.join(n.lineBreaker)+n.lineBreaker+n.wrapSpacer}else delete t.fragments,f=m;return f})).attr(\"dy\",(function(t){return t.needsConvertToTspans?0:\"0.75em\"})).each((function(t){var 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d=a.ensureSingle(f,\"g\",\"slicetext\"),T=a.ensureSingle(d,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),E=a.ensureUniformFontSize(t,u.determineTextFont(C,s,S.font,{onPathbar:!0}));T.text(s._text||\" \").classed(\"slicetext\",!0).attr(\"text-anchor\",\"start\").call(i.font,E).call(o.convertToTspans,t),s.textBB=i.bBox(T.node()),s.transform=b(s,{fontSize:E.size,onPathbar:!0}),s.transform.fontSize=E.size,w?T.transition().attrTween(\"transform\",(function(t){var e=M(t,!0,A,[g,m]);return function(t){return _(e(t))}})):T.attr(\"transform\",_(s))}))}},{\"../../components/drawing\":637,\"../../lib\":749,\"../../lib/svg_text_utils\":773,\"../sunburst/fx\":1273,\"../sunburst/helpers\":1274,\"./constants\":1297,\"./partition\":1304,\"./style\":1306,d3:169}],1300:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../lib\"),i=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"./constants\"),u=t(\"../sunburst/helpers\"),h=t(\"../sunburst/fx\"),f=t(\"../sunburst/plot\").formatSliceLabel;e.exports=function(t,e,r,p,d){var g=d.width,m=d.height,v=d.viewX,y=d.viewY,x=d.pathSlice,b=d.toMoveInsideSlice,_=d.strTransform,w=d.hasTransition,T=d.handleSlicesExit,k=d.makeUpdateSliceInterpolator,M=d.makeUpdateTextInterpolator,A=d.prevEntry,S=t._fullLayout,E=e[0].trace,C=-1!==E.textposition.indexOf(\"left\"),L=-1!==E.textposition.indexOf(\"right\"),P=-1!==E.textposition.indexOf(\"bottom\"),I=!P&&!E.marker.pad.t||P&&!E.marker.pad.b,z=s(r,[g,m],{packing:E.tiling.packing,squarifyratio:E.tiling.squarifyratio,flipX:E.tiling.flip.indexOf(\"x\")>-1,flipY:E.tiling.flip.indexOf(\"y\")>-1,pad:{inner:E.tiling.pad,top:E.marker.pad.t,left:E.marker.pad.l,right:E.marker.pad.r,bottom:E.marker.pad.b}}).descendants(),O=1/0,D=-1/0;z.forEach((function(t){var e=t.depth;e>=E._maxDepth?(t.x0=t.x1=(t.x0+t.x1)/2,t.y0=t.y1=(t.y0+t.y1)/2):(O=Math.min(O,e),D=Math.max(D,e))})),p=p.data(z,u.getPtId),E._maxVisibleLayers=isFinite(D)?D-O+1:0,p.enter().append(\"g\").classed(\"slice\",!0),T(p,!1,{},[g,m],x),p.order();var R=null;if(w&&A){var 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a(\"enabled\")&&(a(\"target\"),a(\"order\")),e},r.calcTransform=function(t,e,r){if(r.enabled){var s=n.getTargetArray(e,r);if(s){var l=r.target,c=s.length;e._length&&(c=Math.min(c,e._length));var u,h,f=e._arrayAttrs,p=function(t,e,r,n){var a,i=new Array(n),s=new Array(n);for(a=0;a<n;a++)i[a]={v:e[a],i:a};for(i.sort(function(t,e){switch(t.order){case\"ascending\":return function(t,r){var n=e(t.v),a=e(r.v);return n===o?1:a===o?-1:n-a};case\"descending\":return function(t,r){var n=e(t.v),a=e(r.v);return n===o?1:a===o?-1:a-n}}}(t,r)),a=0;a<n;a++)s[a]=i[a].i;return s}(r,s,a.getDataToCoordFunc(t,e,l,s),c),d=i(e.transforms,r),g={};for(u=0;u<f.length;u++){var m=n.nestedProperty(e,f[u]),v=m.get(),y=new Array(c);for(h=0;h<c;h++)y[h]=v[p[h]];m.set(y)}for(h=0;h<c;h++)g[h]=d(p[h]);r._indexToPoints=g,e._length=c}}}},{\"../constants/numerical\":724,\"../lib\":749,\"../plots/cartesian/axes\":798,\"./helpers\":1337}],1339:[function(t,e,r){\"use strict\";r.version=\"1.56.0\"},{}]},{},[26])(26)}));\n",
        "        });\n",
        "        require(['plotly'], function(Plotly) {\n",
        "            window._Plotly = Plotly;\n",
@@ -198,25 +203,23 @@
           "PassengerClass",
           "Deck",
           "Embarked",
-          "Age",
-          "No_of_relatives_on_board",
           "No_of_parents_plus_children_on_board",
           "No_of_siblings_plus_spouses_on_board",
+          "Age",
           "Other features combined",
           "Final Prediction"
          ],
          "y": [
           0,
-          38.98,
-          66.78,
-          76.99,
-          85.45,
-          91.66,
-          96.04,
-          93.15,
-          94.46,
-          95.28,
-          96,
+          39.26,
+          66.81,
+          75.81,
+          84.24,
+          91.12,
+          95.89,
+          97.92,
+          99.79,
+          98,
           0
          ]
         },
@@ -225,50 +228,47 @@
          "marker": {
           "color": [
            "rgba(230, 230, 30, 1.0)",
+           "rgba(50, 200, 50, 1.0)",
+           "rgba(50, 200, 50, 1.0)",
+           "rgba(50, 200, 50, 1.0)",
+           "rgba(50, 200, 50, 1.0)",
+           "rgba(50, 200, 50, 1.0)",
+           "rgba(50, 200, 50, 1.0)",
+           "rgba(50, 200, 50, 1.0)",
            "rgba(219, 64, 82, 0.7)",
            "rgba(219, 64, 82, 0.7)",
-           "rgba(219, 64, 82, 0.7)",
-           "rgba(219, 64, 82, 0.7)",
-           "rgba(219, 64, 82, 0.7)",
-           "rgba(55, 128, 191, 0.7)",
-           "rgba(219, 64, 82, 0.7)",
-           "rgba(219, 64, 82, 0.7)",
-           "rgba(219, 64, 82, 0.7)",
-           "rgba(55, 128, 191, 0.7)",
-           "rgba(50, 200, 50, 1.0)"
+           "rgba(55, 128, 191, 0.7)"
           ],
           "line": {
            "color": [
             "rgba(190, 190, 30, 1.0)",
+            "rgba(40, 160, 50, 1.0)",
+            "rgba(40, 160, 50, 1.0)",
+            "rgba(40, 160, 50, 1.0)",
+            "rgba(40, 160, 50, 1.0)",
+            "rgba(40, 160, 50, 1.0)",
+            "rgba(40, 160, 50, 1.0)",
+            "rgba(40, 160, 50, 1.0)",
             "rgba(219, 64, 82, 1.0)",
             "rgba(219, 64, 82, 1.0)",
-            "rgba(219, 64, 82, 1.0)",
-            "rgba(219, 64, 82, 1.0)",
-            "rgba(219, 64, 82, 1.0)",
-            "rgba(55, 128, 191, 1.0)",
-            "rgba(219, 64, 82, 1.0)",
-            "rgba(219, 64, 82, 1.0)",
-            "rgba(219, 64, 82, 1.0)",
-            "rgba(55, 128, 191, 1.0)",
-            "rgba(40, 160, 50, 1.0)"
+            "rgba(55, 128, 191, 1.0)"
            ],
            "width": 2
           }
          },
          "name": "contribution",
          "text": [
-          "Population<br>average=<BR>+38.98 ",
-          "Sex=female<BR>+27.8 ",
-          "Fare=71.2833<BR>+10.21 ",
-          "PassengerClass=1<BR>+8.47 ",
-          "Deck=C<BR>+6.21 ",
-          "Embarked=Cherbourg<BR>+4.38 ",
-          "Age=38.0<BR>-2.89 ",
-          "No_of_relatives_on_board=1<BR>+1.31 ",
-          "No_of_parents_plus_children_on_board=0<BR>+0.82 ",
-          "No_of_siblings_plus_spouses_on_board=1<BR>+0.72 ",
+          "Population<br>average=<BR>+39.26 ",
+          "Sex=female<BR>+27.56 ",
+          "Fare=71.2833<BR>+9.0 ",
+          "PassengerClass=1<BR>+8.42 ",
+          "Deck=C<BR>+6.88 ",
+          "Embarked=Cherbourg<BR>+4.77 ",
+          "No_of_parents_plus_children_on_board=0<BR>+2.03 ",
+          "No_of_siblings_plus_spouses_on_board=1<BR>+1.87 ",
+          "Age=38.0<BR>-1.79 ",
           "Other features combined=<BR>0.0 ",
-          "Final Prediction=<BR>+96.0 "
+          "Final Prediction=<BR>+98.0 "
          ],
          "type": "bar",
          "x": [
@@ -278,26 +278,24 @@
           "PassengerClass",
           "Deck",
           "Embarked",
-          "Age",
-          "No_of_relatives_on_board",
           "No_of_parents_plus_children_on_board",
           "No_of_siblings_plus_spouses_on_board",
+          "Age",
           "Other features combined",
           "Final Prediction"
          ],
          "y": [
-          38.98,
-          27.8,
-          10.21,
-          8.47,
-          6.21,
-          4.38,
-          -2.89,
-          1.31,
-          0.82,
-          0.72,
+          39.26,
+          27.56,
+          9,
+          8.42,
+          6.88,
+          4.77,
+          2.03,
+          1.87,
+          -1.79,
           0,
-          96
+          98
          ]
         }
        ],
@@ -323,7 +321,7 @@
          }
         },
         "title": {
-         "text": "Contribution to prediction probability = 96.0%",
+         "text": "Contribution to prediction probability = 98.0%",
          "x": 0.5
         },
         "yaxis": {
@@ -338,9 +336,9 @@
        }
       },
       "text/html": [
-       "<div>                            <div id=\"77531f4b-a60b-4f3a-9d6d-d199ecb03c08\" class=\"plotly-graph-div\" style=\"height:600px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"77531f4b-a60b-4f3a-9d6d-d199ecb03c08\")) {                    Plotly.newPlot(                        \"77531f4b-a60b-4f3a-9d6d-d199ecb03c08\",                        [{\"hoverinfo\": \"skip\", \"marker\": {\"color\": \"rgba(1,1,1, 0.0)\"}, \"name\": \"\", \"type\": \"bar\", \"x\": [\"Population<br>average\", \"Sex\", \"Fare\", \"PassengerClass\", \"Deck\", \"Embarked\", \"Age\", \"No_of_relatives_on_board\", \"No_of_parents_plus_children_on_board\", \"No_of_siblings_plus_spouses_on_board\", \"Other features combined\", \"Final Prediction\"], \"y\": [0.0, 38.98, 66.78, 76.99, 85.45, 91.66, 96.04, 93.15, 94.46, 95.28, 96.0, 0.0]}, {\"hoverinfo\": \"text\", \"marker\": {\"color\": [\"rgba(230, 230, 30, 1.0)\", \"rgba(219, 64, 82, 0.7)\", \"rgba(219, 64, 82, 0.7)\", \"rgba(219, 64, 82, 0.7)\", \"rgba(219, 64, 82, 0.7)\", \"rgba(219, 64, 82, 0.7)\", \"rgba(55, 128, 191, 0.7)\", \"rgba(219, 64, 82, 0.7)\", \"rgba(219, 64, 82, 0.7)\", \"rgba(219, 64, 82, 0.7)\", \"rgba(55, 128, 191, 0.7)\", \"rgba(50, 200, 50, 1.0)\"], \"line\": {\"color\": [\"rgba(190, 190, 30, 1.0)\", \"rgba(219, 64, 82, 1.0)\", \"rgba(219, 64, 82, 1.0)\", \"rgba(219, 64, 82, 1.0)\", \"rgba(219, 64, 82, 1.0)\", \"rgba(219, 64, 82, 1.0)\", \"rgba(55, 128, 191, 1.0)\", \"rgba(219, 64, 82, 1.0)\", \"rgba(219, 64, 82, 1.0)\", \"rgba(219, 64, 82, 1.0)\", \"rgba(55, 128, 191, 1.0)\", \"rgba(40, 160, 50, 1.0)\"], \"width\": 2}}, \"name\": \"contribution\", \"text\": [\"Population<br>average=<BR>+38.98 \", \"Sex=female<BR>+27.8 \", \"Fare=71.2833<BR>+10.21 \", \"PassengerClass=1<BR>+8.47 \", \"Deck=C<BR>+6.21 \", \"Embarked=Cherbourg<BR>+4.38 \", \"Age=38.0<BR>-2.89 \", \"No_of_relatives_on_board=1<BR>+1.31 \", \"No_of_parents_plus_children_on_board=0<BR>+0.82 \", \"No_of_siblings_plus_spouses_on_board=1<BR>+0.72 \", \"Other features combined=<BR>0.0 \", \"Final Prediction=<BR>+96.0 \"], \"type\": \"bar\", \"x\": [\"Population<br>average\", \"Sex\", \"Fare\", \"PassengerClass\", \"Deck\", \"Embarked\", \"Age\", \"No_of_relatives_on_board\", \"No_of_parents_plus_children_on_board\", \"No_of_siblings_plus_spouses_on_board\", \"Other features combined\", \"Final Prediction\"], \"y\": [38.98, 27.8, 10.21, 8.47, 6.21, 4.38, -2.89, 1.31, 0.82, 0.72, 0.0, 96.0]}],                        {\"barmode\": \"stack\", \"height\": 600, \"margin\": {\"b\": 216, \"l\": 50, \"pad\": 4, \"r\": 100, \"t\": 50}, \"plot_bgcolor\": \"#fff\", \"showlegend\": false, \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Contribution to prediction probability = 96.0%\", \"x\": 0.5}, \"yaxis\": {\"range\": [0, 100], \"title\": {\"text\": \"Predicted %\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "<div>                            <div id=\"1b873513-6361-4152-9b96-45108db51574\" class=\"plotly-graph-div\" style=\"height:600px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"1b873513-6361-4152-9b96-45108db51574\")) {                    Plotly.newPlot(                        \"1b873513-6361-4152-9b96-45108db51574\",                        [{\"hoverinfo\": \"skip\", \"marker\": {\"color\": \"rgba(1,1,1, 0.0)\"}, \"name\": \"\", \"type\": \"bar\", \"x\": [\"Population<br>average\", \"Sex\", \"Fare\", \"PassengerClass\", \"Deck\", \"Embarked\", \"No_of_parents_plus_children_on_board\", \"No_of_siblings_plus_spouses_on_board\", \"Age\", \"Other features combined\", \"Final Prediction\"], \"y\": [0.0, 39.26, 66.81, 75.81, 84.24, 91.12, 95.89, 97.92, 99.79, 98.0, 0.0]}, {\"hoverinfo\": \"text\", \"marker\": {\"color\": [\"rgba(230, 230, 30, 1.0)\", \"rgba(50, 200, 50, 1.0)\", \"rgba(50, 200, 50, 1.0)\", \"rgba(50, 200, 50, 1.0)\", \"rgba(50, 200, 50, 1.0)\", \"rgba(50, 200, 50, 1.0)\", \"rgba(50, 200, 50, 1.0)\", \"rgba(50, 200, 50, 1.0)\", \"rgba(219, 64, 82, 0.7)\", \"rgba(219, 64, 82, 0.7)\", \"rgba(55, 128, 191, 0.7)\"], \"line\": {\"color\": [\"rgba(190, 190, 30, 1.0)\", \"rgba(40, 160, 50, 1.0)\", \"rgba(40, 160, 50, 1.0)\", \"rgba(40, 160, 50, 1.0)\", \"rgba(40, 160, 50, 1.0)\", \"rgba(40, 160, 50, 1.0)\", \"rgba(40, 160, 50, 1.0)\", \"rgba(40, 160, 50, 1.0)\", \"rgba(219, 64, 82, 1.0)\", \"rgba(219, 64, 82, 1.0)\", \"rgba(55, 128, 191, 1.0)\"], \"width\": 2}}, \"name\": \"contribution\", \"text\": [\"Population<br>average=<BR>+39.26 \", \"Sex=female<BR>+27.56 \", \"Fare=71.2833<BR>+9.0 \", \"PassengerClass=1<BR>+8.42 \", \"Deck=C<BR>+6.88 \", \"Embarked=Cherbourg<BR>+4.77 \", \"No_of_parents_plus_children_on_board=0<BR>+2.03 \", \"No_of_siblings_plus_spouses_on_board=1<BR>+1.87 \", \"Age=38.0<BR>-1.79 \", \"Other features combined=<BR>0.0 \", \"Final Prediction=<BR>+98.0 \"], \"type\": \"bar\", \"x\": [\"Population<br>average\", \"Sex\", \"Fare\", \"PassengerClass\", \"Deck\", \"Embarked\", \"No_of_parents_plus_children_on_board\", \"No_of_siblings_plus_spouses_on_board\", \"Age\", \"Other features combined\", \"Final Prediction\"], \"y\": [39.26, 27.56, 9.0, 8.42, 6.88, 4.77, 2.03, 1.87, -1.79, 0.0, 98.0]}],                        {\"barmode\": \"stack\", \"height\": 600, \"margin\": {\"b\": 216, \"l\": 50, \"pad\": 4, \"r\": 100, \"t\": 50}, \"plot_bgcolor\": \"#fff\", \"showlegend\": false, \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Contribution to prediction probability = 98.0%\", \"x\": 0.5}, \"yaxis\": {\"range\": [0, 100], \"title\": {\"text\": \"Predicted %\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('77531f4b-a60b-4f3a-9d6d-d199ecb03c08');\n",
+       "var gd = document.getElementById('1b873513-6361-4152-9b96-45108db51574');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
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@@ -371,21 +369,12 @@
    ],
    "source": [
     "from sklearn.ensemble import RandomForestClassifier\n",
-    "from explainerdashboard import ClassifierExplainer\n",
-    "\n",
-    "from explainerdashboard.datasets import titanic_survive, titanic_names, feature_descriptions\n",
     "\n",
     "X_train, y_train, X_test, y_test = titanic_survive()\n",
-    "train_names, test_names = titanic_names()\n",
-    "\n",
-    "model = RandomForestClassifier(n_estimators=50, max_depth=15)\n",
-    "model.fit(X_train, y_train)\n",
-    "\n",
+    "model = RandomForestClassifier(n_estimators=50, max_depth=15).fit(X_train, y_train)\n",
     "explainer = ClassifierExplainer(model, X_test, y_test, \n",
     "                            cats=['Sex', 'Deck', 'Embarked'],\n",
-    "                            idxs=test_names, \n",
     "                            descriptions=feature_descriptions,\n",
-    "                            target='Survival',\n",
     "                            labels=['Not survived', 'Survived'])\n",
     "\n",
     "explainer.plot_contributions(0)"
@@ -404,7 +393,7 @@
    "source": [
     "## Constructing the ExplainerComponent\n",
     "\n",
-    "By constructing a custom `ExplainerComponent` some of the boilerplate stuff gets taken care of for you. \n",
+    "By constructing a custom `ExplainerComponent` a lot of the boilerplate stuff gets taken care of for you. \n",
     "This includes:\n",
     " - by registering the callbacks for all your subcomponents\n",
     " - by making it easy to pre calculate all lazily calculated dependencies such as shap values up front. (otherwise these may get calculated multiple times by each component individually)\n",
@@ -413,7 +402,6 @@
     "\n",
     "Important elements:\n",
     "- call `super().__init__(explainer, title, name) at beginning of ``__init__``\n",
-    "- register components with `.register_components()`.\n",
     "- define your callbacks in `.component_callbacks(self, app)`. This way the ExplainerComponent automatically register all calbacks of register components first, and then call `component_callbacks(app)`. Alternatively you just have to make sure that you register all callbacks of subcomponents in the `register_callbacks(app)` method. \n",
     "\n",
     "By calling `register_components()` your component callbacks are automatically registered, and you can\n",
@@ -442,11 +430,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T09:09:01.650777Z",
-     "start_time": "2020-10-12T09:09:01.647631Z"
+     "end_time": "2021-01-20T16:19:13.613406Z",
+     "start_time": "2021-01-20T16:19:13.608777Z"
     }
    },
    "outputs": [],
@@ -459,11 +447,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 17,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T09:09:02.326594Z",
-     "start_time": "2020-10-12T09:09:02.316948Z"
+     "end_time": "2021-01-20T16:20:49.390495Z",
+     "start_time": "2021-01-20T16:20:49.376706Z"
     }
    },
    "outputs": [],
@@ -475,7 +463,7 @@
     "        self.precision = PrecisionComponent(explainer, \n",
     "                                hide_cutoff=True, hide_binsize=True, \n",
     "                                hide_binmethod=True, hide_multiclass=True,\n",
-    "                                hide_selector=True,\n",
+    "                                hide_selector=True, hide_title=True, hide_footer=True,\n",
     "                                cutoff=None)\n",
     "        self.shap_summary = ShapSummaryComponent(explainer, \n",
     "                                hide_title=True, hide_selector=True,\n",
@@ -488,8 +476,6 @@
     "                                col='Fare', color_col=\"PassengerClass\")\n",
     "        self.connector = ShapSummaryDependenceConnector(self.shap_summary, self.shap_dependence)\n",
     "        \n",
-    "        self.register_components(self.precision, self.shap_summary, self.shap_dependence, self.connector)\n",
-    "        \n",
     "    def layout(self):\n",
     "        return dbc.Container([\n",
     "            html.H1(\"Titanic Explainer\"),\n",
@@ -515,9 +501,9 @@
     "                dbc.Col([\n",
     "                    html.H3(\"Feature importances\"),\n",
     "                    html.Div(\"On the left you can check out for yourself which parameters were the most important.\"),\n",
-    "                    html.Div(f\"{self.explainer.columns_ranked_by_shap(cats=True)[0]} was the most important\"\n",
-    "                             f\", followed by {self.explainer.columns_ranked_by_shap(cats=True)[1]}\"\n",
-    "                             f\" and {self.explainer.columns_ranked_by_shap(cats=True)[2]}.\"),\n",
+    "                    html.Div(f\"{self.explainer.columns_ranked_by_shap()[0]} was the most important\"\n",
+    "                             f\", followed by {self.explainer.columns_ranked_by_shap()[1]}\"\n",
+    "                             f\" and {self.explainer.columns_ranked_by_shap()[2]}.\"),\n",
     "                    html.Div(\"If you select 'detailed' you can see the impact of that variable on \"\n",
     "                             \"each individual prediction. With 'aggregate' you see the average impact size \"\n",
     "                             \"of that variable on the finale prediction.\"),\n",
@@ -549,11 +535,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 28,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T09:09:51.620153Z",
-     "start_time": "2020-10-12T09:09:35.093756Z"
+     "end_time": "2021-01-20T16:23:28.387006Z",
+     "start_time": "2021-01-20T16:23:19.788958Z"
     }
    },
    "outputs": [
@@ -562,352 +548,58 @@
      "output_type": "stream",
      "text": [
       "Building ExplainerDashboard..\n",
-      "Detected notebook environment, consider setting mode='external', mode='inline' or mode='jupyterlab'...\n",
+      "Detected notebook environment, consider setting mode='external', mode='inline' or mode='jupyterlab' to keep the notebook interactive while the dashboard is running...\n",
       "Generating layout...\n",
+      "ExplainerComponent <class '__main__.CustomDashboard'> does not accept a name parameter, so cannot assign name='1': CustomDashboard.__init__(self, explainer). Make sure to set super().__init__(name=...) explicitly yourself inside the __init__ if you want to deploy across multiple workers or a cluster, as otherwise each instance in the cluster will generate its own random uuid name!\n",
       "Calculating dependencies...\n",
+      "Reminder: you can store the explainer (including calculated dependencies) with explainer.dump('explainer.joblib') and reload with e.g. ClassifierExplainer.from_file('explainer.joblib')\n",
       "Registering callbacks...\n",
       "Starting ExplainerDashboard on http://localhost:8050\n",
-      "Dash is running on http://127.0.0.1:8050/\n",
-      "\n",
-      "Dash is running on http://127.0.0.1:8050/\n",
+      "Dash is running on http://0.0.0.0:8050/\n",
       "\n",
-      "Dash is running on http://127.0.0.1:8050/\n",
+      "Dash is running on http://0.0.0.0:8050/\n",
       "\n",
-      " * Serving Flask app \"explainerdashboard.dashboards\" (lazy loading)\n",
-      " * Environment: production\n",
-      "\u001b[31m   WARNING: This is a development server. Do not use it in a production deployment.\u001b[0m\n",
-      "\u001b[2m   Use a production WSGI server instead.\u001b[0m\n",
-      " * Debug mode: off\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      " * Running on http://127.0.0.1:8050/ (Press CTRL+C to quit)\n",
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-     ]
-    }
-   ],
-   "source": [
-    "from explainerdashboard import ExplainerDashboard\n",
-    "\n",
-    "ExplainerDashboard(explainer, CustomDashboard, hide_header=True).run()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Design pattern II: building own dashboard class\n",
-    "Each ExplainerComponent has a `.layout()`, `.register_callbacks(app)` and `.calculate_dependencies()` method.\n",
-    "\n",
-    "So you can define the dashboard any way you see fit, as long as you remember to define those."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-10-12T09:10:28.565166Z",
-     "start_time": "2020-10-12T09:10:28.556076Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "class CustomDashboard():\n",
-    "    def __init__(self, explainer):\n",
-    "        self.explainer = explainer\n",
-    "        self.precision = PrecisionComponent(explainer, \n",
-    "                                hide_cutoff=True, hide_binsize=True, hide_selector=True,\n",
-    "                                hide_binmethod=True, hide_multiclass=True,\n",
-    "                                cutoff=None)\n",
-    "        self.shap_summary = ShapSummaryComponent(explainer, \n",
-    "                                hide_title=True, hide_selector=True,\n",
-    "                                hide_depth=True, depth=8, \n",
-    "                                hide_cats=True, cats=True)\n",
-    "        self.shap_dependence = ShapDependenceComponent(explainer, \n",
-    "                                hide_title=True, hide_selector=True,\n",
-    "                                hide_cats=True, cats=True, \n",
-    "                                hide_index=True,\n",
-    "                                col='Fare', color_col=\"PassengerClass\")\n",
-    "        self.connector = ShapSummaryDependenceConnector(self.shap_summary, self.shap_dependence)\n",
-    "        \n",
-    "    def layout(self):\n",
-    "        return dbc.Container([\n",
-    "            html.H1(\"Titanic Explainer\"),\n",
-    "            dbc.Row([\n",
-    "                dbc.Col([\n",
-    "                    html.H3(\"Model Performance\"),\n",
-    "                    html.Div(\"As you can see on the right, the model performs quite well.\"),\n",
-    "                    html.Div(\"The higher the predicted probability of survival predicted by\"\n",
-    "                             \"the model on the basis of learning from examples in the training set\"\n",
-    "                             \", the higher is the actual percentage for a person surviving in \"\n",
-    "                             \"the test set\"),\n",
-    "                ], width=4),\n",
-    "                dbc.Col([\n",
-    "                    html.H3(\"Model Precision Plot\"),\n",
-    "                    self.precision.layout()\n",
-    "                ])\n",
-    "            ]),\n",
-    "            dbc.Row([\n",
-    "                dbc.Col([\n",
-    "                    html.H3(\"Feature Importances Plot\"),\n",
-    "                    self.shap_summary.layout()\n",
-    "                ]),\n",
-    "                dbc.Col([\n",
-    "                    html.H3(\"Feature importances\"),\n",
-    "                    html.Div(\"On the left you can check out for yourself which parameters were the most important.\"),\n",
-    "                    html.Div(f\"{self.explainer.columns_ranked_by_shap(cats=True)[0]} was the most important\"\n",
-    "                             f\", followed by {self.explainer.columns_ranked_by_shap(cats=True)[1]}\"\n",
-    "                             f\" and {self.explainer.columns_ranked_by_shap(cats=True)[2]}.\"),\n",
-    "                    html.Div(\"If you select 'detailed' you can see the impact of that variable on \"\n",
-    "                             \"each individual prediction. With 'aggregate' you see the average impact size \"\n",
-    "                             \"of that variable on the finale prediction.\"),\n",
-    "                    html.Div(\"With the detailed view you can clearly see that the the large impact from Sex \"\n",
-    "                            \"stems both from males having a much lower chance of survival and females a much \"\n",
-    "                            \"higher chance.\")\n",
-    "                ], width=4)\n",
-    "            ]),\n",
-    "            dbc.Row([\n",
-    "                \n",
-    "                dbc.Col([\n",
-    "                    html.H3(\"Relations between features and model output\"),\n",
-    "                    html.Div(\"In the plot to the right you can see that the higher the priace\"\n",
-    "                             \"of the Fare that people paid, the higher the chance of survival. \"\n",
-    "                            \"Probably the people with more expensive tickets were in higher up cabins, \"\n",
-    "                            \"and were more likely to make it to a lifeboat.\"),\n",
-    "                    html.Div(\"When you color the impacts by the PassengerClass, you can clearly see that \"\n",
-    "                             \"the more expensive tickets were mostly 1st class, and the cheaper tickets \"\n",
-    "                             \"mostly 3rd class.\"),\n",
-    "                    html.Div(\"On the right you can check out for yourself how different features impact \"\n",
-    "                            \"the model output.\"),\n",
-    "                ], width=4),\n",
-    "                dbc.Col([\n",
-    "                    html.H3(\"Feature impact plot\"),\n",
-    "                    self.shap_dependence.layout()\n",
-    "                ]),\n",
-    "            ])\n",
-    "        ])\n",
-    "    \n",
-    "    def register_callbacks(self, app):\n",
-    "        self.precision.register_callbacks(app)\n",
-    "        self.shap_summary.register_callbacks(app)\n",
-    "        self.shap_dependence.register_callbacks(app)\n",
-    "        self.connector.register_callbacks(app)\n",
-    "        "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-10-12T09:10:48.398623Z",
-     "start_time": "2020-10-12T09:10:29.301834Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Building ExplainerDashboard..\n",
-      "Detected notebook environment, consider setting mode='external', mode='inline' or mode='jupyterlab'...\n",
-      "Generating layout...\n",
-      "Warning: setting <__main__.CustomDashboard object at 0x137012730>.name to 5avTTBSDec\n",
-      "Warning: setting <__main__.CustomDashboard object at 0x137012730>.title to 'CustomTab'\n",
-      "Calculating dependencies...\n",
-      "Warning: <__main__.CustomDashboard object at 0x137012730> does not have a calculate_dependencies method!\n",
-      "Registering callbacks...\n",
-      "Starting ExplainerDashboard on http://localhost:8050\n",
-      "Dash is running on http://127.0.0.1:8050/\n",
+      "Dash is running on http://0.0.0.0:8050/\n",
       "\n",
-      "Dash is running on http://127.0.0.1:8050/\n",
+      "Dash is running on http://0.0.0.0:8050/\n",
       "\n",
-      "Dash is running on http://127.0.0.1:8050/\n",
+      "Dash is running on http://0.0.0.0:8050/\n",
       "\n",
-      "Dash is running on http://127.0.0.1:8050/\n",
+      "Dash is running on http://0.0.0.0:8050/\n",
       "\n",
-      " * Serving Flask app \"explainerdashboard.dashboards\" (lazy loading)\n",
-      " * Environment: production\n",
-      "\u001b[31m   WARNING: This is a development server. Do not use it in a production deployment.\u001b[0m\n",
-      "\u001b[2m   Use a production WSGI server instead.\u001b[0m\n",
-      " * Debug mode: off\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      " * Running on http://127.0.0.1:8050/ (Press CTRL+C to quit)\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:29] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:32] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:32] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:32] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:32] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:32] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:34] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:34] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:34] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:34] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:36] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:38] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:38] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:38] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:38] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:38] \"\u001b[37mGET / HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:38] \"\u001b[37mGET /_dash-dependencies HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:38] \"\u001b[37mGET /_dash-layout HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:38] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:38] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:39] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:39] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:39] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:39] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 204 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:39] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 204 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:39] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:39] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:40] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:40] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:40] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:40] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:42] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:43] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:43] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:43] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:43] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:43] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:44] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:45] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:46] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:46] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:46] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:46] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:10:47] \"\u001b[37mGET /_reload-hash HTTP/1.1\u001b[0m\" 200 -\n"
+      "Dash is running on http://0.0.0.0:8050/\n",
+      "\n"
      ]
     }
    ],
    "source": [
-    "db = CustomDashboard(explainer)\n",
-    "ExplainerDashboard(explainer, db, hide_header=True).run()"
+    "from explainerdashboard import ExplainerDashboard\n",
+    "\n",
+    "ExplainerDashboard(explainer, CustomDashboard, boostrap=dbc.themes.FLATLY, hide_header=True).run()"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Design pattern III: traditional flat dash definition"
+    "# Design pattern II: traditional flat dash definition"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 25,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T09:11:28.446185Z",
-     "start_time": "2020-10-12T09:11:28.433011Z"
+     "end_time": "2021-01-20T16:22:50.650331Z",
+     "start_time": "2021-01-20T16:22:50.632097Z"
     }
    },
    "outputs": [],
    "source": [
     "precision = PrecisionComponent(explainer, \n",
     "                        hide_cutoff=True, hide_binsize=True,  hide_selector=True,\n",
-    "                        hide_binmethod=True, hide_multiclass=True,\n",
-    "                        cutoff=None)\n",
+    "                        hide_binmethod=True, hide_multiclass=True, hide_title=True,\n",
+    "                        hide_footer=True, cutoff=None)\n",
     "\n",
     "shap_summary = ShapSummaryComponent(explainer, \n",
     "                        hide_title=True, hide_selector=True,\n",
@@ -946,9 +638,9 @@
     "                dbc.Col([\n",
     "                    html.H3(\"Feature importances\"),\n",
     "                    html.Div(\"On the left you can check out for yourself which parameters were the most important.\"),\n",
-    "                    html.Div(f\"{explainer.columns_ranked_by_shap(cats=True)[0]} was the most important\"\n",
-    "                             f\", followed by {explainer.columns_ranked_by_shap(cats=True)[1]}\"\n",
-    "                             f\" and {explainer.columns_ranked_by_shap(cats=True)[2]}.\"),\n",
+    "                    html.Div(f\"{explainer.columns_ranked_by_shap()[0]} was the most important\"\n",
+    "                             f\", followed by {explainer.columns_ranked_by_shap()[1]}\"\n",
+    "                             f\" and {explainer.columns_ranked_by_shap()[2]}.\"),\n",
     "                    html.Div(\"If you select 'detailed' you can see the impact of that variable on \"\n",
     "                             \"each individual prediction. With 'aggregate' you see the average impact size \"\n",
     "                             \"of that variable on the finale prediction.\"),\n",
@@ -981,11 +673,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 26,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T09:11:28.880645Z",
-     "start_time": "2020-10-12T09:11:28.878553Z"
+     "end_time": "2021-01-20T16:22:51.300470Z",
+     "start_time": "2021-01-20T16:22:51.296548Z"
     }
    },
    "outputs": [],
@@ -995,11 +687,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 27,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T09:13:40.433895Z",
-     "start_time": "2020-10-12T09:13:40.407980Z"
+     "end_time": "2021-01-20T16:22:52.083237Z",
+     "start_time": "2021-01-20T16:22:51.711469Z"
     }
    },
    "outputs": [
@@ -1021,7 +713,7 @@
     "shap_dependence.register_callbacks(app)\n",
     "connector.register_callbacks(app)\n",
     "\n",
-    "app.run_server(port=8050)\n"
+    "app.run_server(port=8050)"
    ]
   },
   {
diff --git a/dashboard_examples.ipynb b/dashboard_examples.ipynb
index 09ef832..f87d415 100644
--- a/dashboard_examples.ipynb
+++ b/dashboard_examples.ipynb
@@ -36,8 +36,8 @@
    "execution_count": 1,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:50:52.449203Z",
-     "start_time": "2020-10-12T08:50:52.437808Z"
+     "end_time": "2021-01-20T16:13:22.406016Z",
+     "start_time": "2021-01-20T16:13:22.401826Z"
     }
    },
    "outputs": [],
@@ -54,11 +54,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:51:31.129900Z",
-     "start_time": "2020-10-12T08:51:31.126379Z"
+     "end_time": "2021-01-20T16:13:23.384613Z",
+     "start_time": "2021-01-20T16:13:23.380671Z"
     }
    },
    "outputs": [],
@@ -84,11 +84,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:51:59.625174Z",
-     "start_time": "2020-10-12T08:51:57.762086Z"
+     "end_time": "2021-01-20T16:13:28.231562Z",
+     "start_time": "2021-01-20T16:13:24.550567Z"
     }
    },
    "outputs": [],
@@ -98,11 +98,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:52:00.388797Z",
-     "start_time": "2020-10-12T08:52:00.376885Z"
+     "end_time": "2021-01-20T16:13:28.246402Z",
+     "start_time": "2021-01-20T16:13:28.234402Z"
     }
    },
    "outputs": [],
@@ -113,11 +113,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:52:01.026553Z",
-     "start_time": "2020-10-12T08:52:00.995125Z"
+     "end_time": "2021-01-20T16:13:28.282574Z",
+     "start_time": "2021-01-20T16:13:28.250686Z"
     }
    },
    "outputs": [
@@ -143,7 +143,6 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Fare</th>\n",
-       "      <th>No_of_relatives_on_board</th>\n",
        "      <th>Age</th>\n",
        "      <th>PassengerClass</th>\n",
        "      <th>No_of_siblings_plus_spouses_on_board</th>\n",
@@ -152,6 +151,7 @@
        "      <th>Sex_male</th>\n",
        "      <th>Sex_nan</th>\n",
        "      <th>Deck_A</th>\n",
+       "      <th>Deck_B</th>\n",
        "      <th>...</th>\n",
        "      <th>Deck_D</th>\n",
        "      <th>Deck_E</th>\n",
@@ -164,12 +164,35 @@
        "      <th>Embarked_Southampton</th>\n",
        "      <th>Embarked_Unknown</th>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Passenger</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>0</th>\n",
+       "      <th>Braund, Mr. Owen Harris</th>\n",
        "      <td>7.2500</td>\n",
-       "      <td>1</td>\n",
        "      <td>22.0</td>\n",
        "      <td>3</td>\n",
        "      <td>1</td>\n",
@@ -178,6 +201,7 @@
        "      <td>1</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
+       "      <td>0</td>\n",
        "      <td>...</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -191,9 +215,8 @@
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1</th>\n",
+       "      <th>Heikkinen, Miss. Laina</th>\n",
        "      <td>7.9250</td>\n",
-       "      <td>0</td>\n",
        "      <td>26.0</td>\n",
        "      <td>3</td>\n",
        "      <td>0</td>\n",
@@ -202,6 +225,7 @@
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
+       "      <td>0</td>\n",
        "      <td>...</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -215,9 +239,8 @@
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
+       "      <th>Allen, Mr. William Henry</th>\n",
        "      <td>8.0500</td>\n",
-       "      <td>0</td>\n",
        "      <td>35.0</td>\n",
        "      <td>3</td>\n",
        "      <td>0</td>\n",
@@ -226,6 +249,7 @@
        "      <td>1</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
+       "      <td>0</td>\n",
        "      <td>...</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -239,9 +263,8 @@
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
+       "      <th>Moran, Mr. James</th>\n",
        "      <td>8.4583</td>\n",
-       "      <td>0</td>\n",
        "      <td>-999.0</td>\n",
        "      <td>3</td>\n",
        "      <td>0</td>\n",
@@ -250,6 +273,7 @@
        "      <td>1</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
+       "      <td>0</td>\n",
        "      <td>...</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -263,9 +287,8 @@
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
+       "      <th>McCarthy, Mr. Timothy J</th>\n",
        "      <td>51.8625</td>\n",
-       "      <td>0</td>\n",
        "      <td>54.0</td>\n",
        "      <td>1</td>\n",
        "      <td>0</td>\n",
@@ -274,6 +297,7 @@
        "      <td>1</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
+       "      <td>0</td>\n",
        "      <td>...</td>\n",
        "      <td>0</td>\n",
        "      <td>1</td>\n",
@@ -288,49 +312,70 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>5 rows × 22 columns</p>\n",
+       "<p>5 rows × 21 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "      Fare  No_of_relatives_on_board    Age  PassengerClass  \\\n",
-       "0   7.2500                         1   22.0               3   \n",
-       "1   7.9250                         0   26.0               3   \n",
-       "2   8.0500                         0   35.0               3   \n",
-       "3   8.4583                         0 -999.0               3   \n",
-       "4  51.8625                         0   54.0               1   \n",
+       "                             Fare    Age  PassengerClass  \\\n",
+       "Passenger                                                  \n",
+       "Braund, Mr. Owen Harris    7.2500   22.0               3   \n",
+       "Heikkinen, Miss. Laina     7.9250   26.0               3   \n",
+       "Allen, Mr. William Henry   8.0500   35.0               3   \n",
+       "Moran, Mr. James           8.4583 -999.0               3   \n",
+       "McCarthy, Mr. Timothy J   51.8625   54.0               1   \n",
        "\n",
-       "   No_of_siblings_plus_spouses_on_board  No_of_parents_plus_children_on_board  \\\n",
-       "0                                     1                                     0   \n",
-       "1                                     0                                     0   \n",
-       "2                                     0                                     0   \n",
-       "3                                     0                                     0   \n",
-       "4                                     0                                     0   \n",
+       "                          No_of_siblings_plus_spouses_on_board  \\\n",
+       "Passenger                                                        \n",
+       "Braund, Mr. Owen Harris                                      1   \n",
+       "Heikkinen, Miss. Laina                                       0   \n",
+       "Allen, Mr. William Henry                                     0   \n",
+       "Moran, Mr. James                                             0   \n",
+       "McCarthy, Mr. Timothy J                                      0   \n",
        "\n",
-       "   Sex_female  Sex_male  Sex_nan  Deck_A  ...  Deck_D  Deck_E  Deck_F  Deck_G  \\\n",
-       "0           0         1        0       0  ...       0       0       0       0   \n",
-       "1           1         0        0       0  ...       0       0       0       0   \n",
-       "2           0         1        0       0  ...       0       0       0       0   \n",
-       "3           0         1        0       0  ...       0       0       0       0   \n",
-       "4           0         1        0       0  ...       0       1       0       0   \n",
+       "                          No_of_parents_plus_children_on_board  Sex_female  \\\n",
+       "Passenger                                                                    \n",
+       "Braund, Mr. Owen Harris                                      0           0   \n",
+       "Heikkinen, Miss. Laina                                       0           1   \n",
+       "Allen, Mr. William Henry                                     0           0   \n",
+       "Moran, Mr. James                                             0           0   \n",
+       "McCarthy, Mr. Timothy J                                      0           0   \n",
        "\n",
-       "   Deck_T  Deck_Unkown  Embarked_Cherbourg  Embarked_Queenstown  \\\n",
-       "0       0            1                   0                    0   \n",
-       "1       0            1                   0                    0   \n",
-       "2       0            1                   0                    0   \n",
-       "3       0            1                   0                    1   \n",
-       "4       0            0                   0                    0   \n",
+       "                          Sex_male  Sex_nan  Deck_A  Deck_B  ...  Deck_D  \\\n",
+       "Passenger                                                    ...           \n",
+       "Braund, Mr. Owen Harris          1        0       0       0  ...       0   \n",
+       "Heikkinen, Miss. Laina           0        0       0       0  ...       0   \n",
+       "Allen, Mr. William Henry         1        0       0       0  ...       0   \n",
+       "Moran, Mr. James                 1        0       0       0  ...       0   \n",
+       "McCarthy, Mr. Timothy J          1        0       0       0  ...       0   \n",
        "\n",
-       "   Embarked_Southampton  Embarked_Unknown  \n",
-       "0                     1                 0  \n",
-       "1                     1                 0  \n",
-       "2                     1                 0  \n",
-       "3                     0                 0  \n",
-       "4                     1                 0  \n",
+       "                          Deck_E  Deck_F  Deck_G  Deck_T  Deck_Unkown  \\\n",
+       "Passenger                                                               \n",
+       "Braund, Mr. Owen Harris        0       0       0       0            1   \n",
+       "Heikkinen, Miss. Laina         0       0       0       0            1   \n",
+       "Allen, Mr. William Henry       0       0       0       0            1   \n",
+       "Moran, Mr. James               0       0       0       0            1   \n",
+       "McCarthy, Mr. Timothy J        1       0       0       0            0   \n",
        "\n",
-       "[5 rows x 22 columns]"
+       "                          Embarked_Cherbourg  Embarked_Queenstown  \\\n",
+       "Passenger                                                           \n",
+       "Braund, Mr. Owen Harris                    0                    0   \n",
+       "Heikkinen, Miss. Laina                     0                    0   \n",
+       "Allen, Mr. William Henry                   0                    0   \n",
+       "Moran, Mr. James                           0                    1   \n",
+       "McCarthy, Mr. Timothy J                    0                    0   \n",
+       "\n",
+       "                          Embarked_Southampton  Embarked_Unknown  \n",
+       "Passenger                                                         \n",
+       "Braund, Mr. Owen Harris                      1                 0  \n",
+       "Heikkinen, Miss. Laina                       1                 0  \n",
+       "Allen, Mr. William Henry                     1                 0  \n",
+       "Moran, Mr. James                             0                 0  \n",
+       "McCarthy, Mr. Timothy J                      1                 0  \n",
+       "\n",
+       "[5 rows x 21 columns]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -348,11 +393,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:52:02.245423Z",
-     "start_time": "2020-10-12T08:52:02.241935Z"
+     "end_time": "2021-01-20T16:13:28.287941Z",
+     "start_time": "2021-01-20T16:13:28.284599Z"
     }
    },
    "outputs": [
@@ -366,7 +411,7 @@
        " 'McCarthy, Mr. Timothy J']"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -386,11 +431,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:52:22.280342Z",
-     "start_time": "2020-10-12T08:52:22.276345Z"
+     "end_time": "2021-01-20T16:13:28.292151Z",
+     "start_time": "2021-01-20T16:13:28.289481Z"
     }
    },
    "outputs": [],
@@ -401,11 +446,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:53:08.224924Z",
-     "start_time": "2020-10-12T08:52:23.318157Z"
+     "end_time": "2021-01-20T16:14:02.984253Z",
+     "start_time": "2021-01-20T16:13:28.549231Z"
     }
    },
    "outputs": [
@@ -414,24 +459,25 @@
      "output_type": "stream",
      "text": [
       "Note: shap=='guess' so guessing for RandomForestClassifier shap='tree'...\n",
+      "Detected RandomForestClassifier model: Changing class type to RandomForestClassifierExplainer...\n",
       "Note: model_output=='probability', so assuming that raw shap output of RandomForestClassifier is in probability space...\n",
       "Generating self.shap_explainer = shap.TreeExplainer(model)\n",
-      "Detected RandomForestClassifier model: Changing class type to RandomForestClassifierExplainer...\n",
       "Building ExplainerDashboard..\n",
-      "Detected notebook environment, consider setting mode='external', mode='inline' or mode='jupyterlab'...\n",
-      "Generating ShadowDecTree for each individual decision tree...\n",
+      "Detected notebook environment, consider setting mode='external', mode='inline' or mode='jupyterlab' to keep the notebook interactive while the dashboard is running...\n",
+      "Warning: calculating shap interaction values can be slow! Pass shap_interaction=False to remove interactions tab.\n",
       "Generating layout...\n",
       "Calculating shap values...\n",
       "Calculating dependencies...\n",
       "Calculating permutation importances (if slow, try setting n_jobs parameter)...\n",
-      "Calculating categorical permutation importances (if slow, try setting n_jobs parameter)...\n",
       "Calculating predictions...\n",
-      "Calculating prediction probabilities...\n",
       "Calculating pred_percentiles...\n",
+      "Calculating prediction probabilities...\n",
       "Calculating shap interaction values...\n",
+      "Reminder: TreeShap computational complexity is O(TLD^2), where T is the number of trees, L is the maximum number of leaves in any tree and D the maximal depth of any tree. So reducing these will speed up the calculation.\n",
+      "Reminder: you can store the explainer (including calculated dependencies) with explainer.dump('explainer.joblib') and reload with e.g. ClassifierExplainer.from_file('explainer.joblib')\n",
       "Registering callbacks...\n",
       "Starting ExplainerDashboard on http://localhost:8050\n",
-      "Dash is running on http://127.0.0.1:8050/\n",
+      "Dash is running on http://0.0.0.0:8050/\n",
       "\n",
       " * Serving Flask app \"explainerdashboard.dashboards\" (lazy loading)\n",
       " * Environment: production\n",
@@ -444,57 +490,105 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
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+      " * Running on http://0.0.0.0:8050/ (Press CTRL+C to quit)\n",
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+      "127.0.0.1 - - [20/Jan/2021 17:13:59] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:13:59] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:14:00] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 204 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:14:00] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:14:00] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:14:00] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:14:00] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Exception on /_dash-update-component [POST]\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/Users/oege/projects/explainerdashboard/venv/lib/python3.8/site-packages/flask/app.py\", line 2447, in wsgi_app\n",
+      "    response = self.full_dispatch_request()\n",
+      "  File \"/Users/oege/projects/explainerdashboard/venv/lib/python3.8/site-packages/flask/app.py\", line 1952, in full_dispatch_request\n",
+      "    rv = self.handle_user_exception(e)\n",
+      "  File \"/Users/oege/projects/explainerdashboard/venv/lib/python3.8/site-packages/flask/app.py\", line 1821, in handle_user_exception\n",
+      "    reraise(exc_type, exc_value, tb)\n",
+      "  File \"/Users/oege/projects/explainerdashboard/venv/lib/python3.8/site-packages/flask/_compat.py\", line 39, in reraise\n",
+      "    raise value\n",
+      "  File \"/Users/oege/projects/explainerdashboard/venv/lib/python3.8/site-packages/flask/app.py\", line 1950, in full_dispatch_request\n",
+      "    rv = self.dispatch_request()\n",
+      "  File \"/Users/oege/projects/explainerdashboard/venv/lib/python3.8/site-packages/flask/app.py\", line 1936, in dispatch_request\n",
+      "    return self.view_functions[rule.endpoint](**req.view_args)\n",
+      "  File \"/Users/oege/projects/explainerdashboard/venv/lib/python3.8/site-packages/dash/dash.py\", line 1076, in dispatch\n",
+      "    response.set_data(func(*args, outputs_list=outputs_list))\n",
+      "  File \"/Users/oege/projects/explainerdashboard/venv/lib/python3.8/site-packages/dash/dash.py\", line 1007, in add_context\n",
+      "    output_value = func(*args, **kwargs)  # %% callback invoked %%\n",
+      "  File \"/Users/oege/projects/explainerdashboard/explainerdashboard/dashboard_components/classifier_components.py\", line 351, in update_output_div\n",
+      "    preds_df = self.explainer.prediction_result_df(index, round=self.round, logodds=True)\n",
+      "  File \"/Users/oege/projects/explainerdashboard/explainerdashboard/explainers.py\", line 2069, in prediction_result_df\n",
+      "    preds_df.probability.apply(lambda p: np.log(p / (1-p)))\n",
+      "  File \"/Users/oege/projects/explainerdashboard/venv/lib/python3.8/site-packages/pandas/core/series.py\", line 4108, in apply\n",
+      "    mapped = lib.map_infer(values, f, convert=convert_dtype)\n",
+      "  File \"pandas/_libs/lib.pyx\", line 2467, in pandas._libs.lib.map_infer\n",
+      "  File \"/Users/oege/projects/explainerdashboard/explainerdashboard/explainers.py\", line 2069, in <lambda>\n",
+      "    preds_df.probability.apply(lambda p: np.log(p / (1-p)))\n",
+      "ZeroDivisionError: float division by zero\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "127.0.0.1 - - [20/Jan/2021 17:14:00] \"\u001b[35m\u001b[1mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 500 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:14:00] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:14:00] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:14:00] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:14:00] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:14:00] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:14:00] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:14:00] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:14:00] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:14:00] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:14:00] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:14:01] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:14:01] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:14:01] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:14:01] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n"
      ]
     }
    ],
@@ -513,11 +607,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 9,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:58:31.079080Z",
-     "start_time": "2020-10-12T08:58:30.975819Z"
+     "end_time": "2021-01-20T16:14:21.318672Z",
+     "start_time": "2021-01-20T16:14:21.218883Z"
     }
    },
    "outputs": [
@@ -527,7 +621,7 @@
        "RandomForestClassifier(max_depth=5, n_estimators=50)"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -536,9 +630,9 @@
      "output_type": "stream",
      "text": [
       "Note: shap=='guess' so guessing for RandomForestClassifier shap='tree'...\n",
+      "Detected RandomForestClassifier model: Changing class type to RandomForestClassifierExplainer...\n",
       "Note: model_output=='probability', so assuming that raw shap output of RandomForestClassifier is in probability space...\n",
-      "Generating self.shap_explainer = shap.TreeExplainer(model)\n",
-      "Detected RandomForestClassifier model: Changing class type to RandomForestClassifierExplainer...\n"
+      "Generating self.shap_explainer = shap.TreeExplainer(model)\n"
      ]
     }
    ],
@@ -559,9 +653,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 10,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T16:14:23.618940Z",
+     "start_time": "2021-01-20T16:14:22.502651Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Building ExplainerDashboard..\n",
+      "Detected notebook environment, consider setting mode='external', mode='inline' or mode='jupyterlab' to keep the notebook interactive while the dashboard is running...\n",
+      "Warning: calculating shap interaction values can be slow! Pass shap_interaction=False to remove interactions tab.\n",
+      "Generating layout...\n",
+      "Calculating shap values...\n",
+      "Calculating dependencies...\n",
+      "Calculating permutation importances (if slow, try setting n_jobs parameter)...\n",
+      "Calculating predictions...\n",
+      "Calculating pred_percentiles...\n",
+      "Calculating prediction probabilities...\n",
+      "Calculating shap interaction values...\n",
+      "Reminder: TreeShap computational complexity is O(TLD^2), where T is the number of trees, L is the maximum number of leaves in any tree and D the maximal depth of any tree. So reducing these will speed up the calculation.\n",
+      "Reminder: you can store the explainer (including calculated dependencies) with explainer.dump('explainer.joblib') and reload with e.g. ClassifierExplainer.from_file('explainer.joblib')\n",
+      "Registering callbacks...\n"
+     ]
+    }
+   ],
    "source": [
     "db = ExplainerDashboard(explainer)"
    ]
@@ -835,22 +955,22 @@
    "execution_count": 11,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:57:22.193055Z",
-     "start_time": "2020-10-12T08:57:22.188906Z"
+     "end_time": "2021-01-20T16:15:03.126731Z",
+     "start_time": "2021-01-20T16:15:03.121764Z"
     }
    },
    "outputs": [],
    "source": [
-    "from explainerdashboard.dashboard_tabs import ContributionsTab"
+    "from explainerdashboard.custom import ContributionsTab"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 12,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T09:00:22.321188Z",
-     "start_time": "2020-10-12T08:58:42.570592Z"
+     "end_time": "2021-01-20T16:15:12.083719Z",
+     "start_time": "2021-01-20T16:15:05.264746Z"
     }
    },
    "outputs": [
@@ -859,15 +979,17 @@
      "output_type": "stream",
      "text": [
       "Building ExplainerDashboard..\n",
-      "Detected notebook environment, consider setting mode='external', mode='inline' or mode='jupyterlab'...\n",
+      "Detected notebook environment, consider setting mode='external', mode='inline' or mode='jupyterlab' to keep the notebook interactive while the dashboard is running...\n",
       "Generating layout...\n",
-      "Calculating shap values...\n",
       "Calculating dependencies...\n",
+      "Reminder: you can store the explainer (including calculated dependencies) with explainer.dump('explainer.joblib') and reload with e.g. ClassifierExplainer.from_file('explainer.joblib')\n",
       "Registering callbacks...\n",
       "Starting ExplainerDashboard on http://localhost:8050\n",
-      "Dash is running on http://127.0.0.1:8050/\n",
+      "Dash is running on http://0.0.0.0:8050/\n",
+      "\n",
+      "Dash is running on http://0.0.0.0:8050/\n",
       "\n",
-      "Dash is running on http://127.0.0.1:8050/\n",
+      "Dash is running on http://0.0.0.0:8050/\n",
       "\n",
       " * Serving Flask app \"explainerdashboard.dashboards\" (lazy loading)\n",
       " * Environment: production\n",
@@ -880,45 +1002,20 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      " * Running on http://127.0.0.1:8050/ (Press CTRL+C to quit)\n",
-      "127.0.0.1 - - [12/Oct/2020 11:00:12] \"\u001b[37mGET / HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:00:12] \"\u001b[37mGET /_dash-dependencies HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:00:12] \"\u001b[37mGET /_dash-layout HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:00:12] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Calculating prediction probabilities...\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "127.0.0.1 - - [12/Oct/2020 11:00:12] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:00:12] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Calculating pred_percentiles...\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "127.0.0.1 - - [12/Oct/2020 11:00:12] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:00:13] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:00:13] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:00:13] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:00:13] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
-      "127.0.0.1 - - [12/Oct/2020 11:00:13] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n"
+      " * Running on http://0.0.0.0:8050/ (Press CTRL+C to quit)\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:07] \"\u001b[37mGET / HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:07] \"\u001b[37mGET /_dash-dependencies HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:07] \"\u001b[37mGET /_dash-layout HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:07] \"\u001b[37mGET /_dash-component-suites/dash_core_components/async-slider.v1_13_0m1604001894.js HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:07] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:07] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:07] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:08] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:08] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:08] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:08] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:08] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:08] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n"
      ]
     }
    ],
@@ -935,9 +1032,60 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 13,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T16:15:22.703034Z",
+     "start_time": "2021-01-20T16:15:16.872769Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Building ExplainerDashboard..\n",
+      "Detected notebook environment, consider setting mode='external', mode='inline' or mode='jupyterlab' to keep the notebook interactive while the dashboard is running...\n",
+      "Generating layout...\n",
+      "Calculating dependencies...\n",
+      "Reminder: you can store the explainer (including calculated dependencies) with explainer.dump('explainer.joblib') and reload with e.g. ClassifierExplainer.from_file('explainer.joblib')\n",
+      "Registering callbacks...\n",
+      "Starting ExplainerDashboard on http://localhost:8050\n",
+      "Dash is running on http://0.0.0.0:8050/\n",
+      "\n",
+      "Dash is running on http://0.0.0.0:8050/\n",
+      "\n",
+      "Dash is running on http://0.0.0.0:8050/\n",
+      "\n",
+      "Dash is running on http://0.0.0.0:8050/\n",
+      "\n",
+      " * Serving Flask app \"explainerdashboard.dashboards\" (lazy loading)\n",
+      " * Environment: production\n",
+      "\u001b[31m   WARNING: This is a development server. Do not use it in a production deployment.\u001b[0m\n",
+      "\u001b[2m   Use a production WSGI server instead.\u001b[0m\n",
+      " * Debug mode: off\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      " * Running on http://0.0.0.0:8050/ (Press CTRL+C to quit)\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:18] \"\u001b[37mGET / HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:18] \"\u001b[37mGET /_dash-dependencies HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:18] \"\u001b[37mGET /_dash-layout HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:19] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:19] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:19] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:19] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:19] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:19] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:19] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:19] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n",
+      "127.0.0.1 - - [20/Jan/2021 17:15:20] \"\u001b[37mPOST /_dash-update-component HTTP/1.1\u001b[0m\" 200 -\n"
+     ]
+    }
+   ],
    "source": [
     "db = ContributionsTab(explainer)\n",
     "ExplainerDashboard(explainer, db).run()"
@@ -970,11 +1118,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 14,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T09:00:59.058797Z",
-     "start_time": "2020-10-12T09:00:59.054719Z"
+     "end_time": "2021-01-20T16:15:47.053796Z",
+     "start_time": "2021-01-20T16:15:47.050286Z"
     }
    },
    "outputs": [],
@@ -984,11 +1132,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 15,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T09:00:59.819688Z",
-     "start_time": "2020-10-12T09:00:59.816570Z"
+     "end_time": "2021-01-20T16:15:47.312606Z",
+     "start_time": "2021-01-20T16:15:47.309934Z"
     }
    },
    "outputs": [],
@@ -998,11 +1146,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 16,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T09:01:00.878783Z",
-     "start_time": "2020-10-12T09:01:00.842016Z"
+     "end_time": "2021-01-20T16:15:47.664170Z",
+     "start_time": "2021-01-20T16:15:47.625282Z"
     }
    },
    "outputs": [
@@ -1020,7 +1168,7 @@
        "        "
       ],
       "text/plain": [
-       "<IPython.lib.display.IFrame at 0x13287ac40>"
+       "<IPython.lib.display.IFrame at 0x135efcf10>"
       ]
      },
      "metadata": {},
@@ -1033,11 +1181,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 17,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T09:01:02.314284Z",
-     "start_time": "2020-10-12T09:01:01.895914Z"
+     "end_time": "2021-01-20T16:15:53.444394Z",
+     "start_time": "2021-01-20T16:15:53.072097Z"
     },
     "scrolled": true
    },
@@ -1056,7 +1204,7 @@
        "        "
       ],
       "text/plain": [
-       "<IPython.lib.display.IFrame at 0x10c4318e0>"
+       "<IPython.lib.display.IFrame at 0x135f18670>"
       ]
      },
      "metadata": {},
@@ -1069,11 +1217,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 18,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T09:01:03.121212Z",
-     "start_time": "2020-10-12T09:01:02.775327Z"
+     "end_time": "2021-01-20T16:15:56.559913Z",
+     "start_time": "2021-01-20T16:15:56.199941Z"
     }
    },
    "outputs": [
@@ -1091,7 +1239,7 @@
        "        "
       ],
       "text/plain": [
-       "<IPython.lib.display.IFrame at 0x132973910>"
+       "<IPython.lib.display.IFrame at 0x136021970>"
       ]
      },
      "metadata": {},
@@ -1104,11 +1252,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 19,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T09:01:04.000176Z",
-     "start_time": "2020-10-12T09:01:03.650348Z"
+     "end_time": "2021-01-20T16:15:59.378917Z",
+     "start_time": "2021-01-20T16:15:59.014973Z"
     }
    },
    "outputs": [
@@ -1126,95 +1274,11 @@
        "        "
       ],
       "text/plain": [
-       "<IPython.lib.display.IFrame at 0x1329ca8e0>"
+       "<IPython.lib.display.IFrame at 0x13604c880>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n",
-      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)\n",
-      "\u001b[1;32m~/projects/explainerdashboard/venv/lib/python3.8/site-packages/flask/app.py\u001b[0m in \u001b[0;36mfull_dispatch_request\u001b[1;34m(\n",
-      "    self=<Flask 'explainerdashboard.dashboards'>\n",
-      ")\u001b[0m\n",
-      "\u001b[0;32m   1948\u001b[0m             \u001b[0mrv\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpreprocess_request\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m   1949\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mrv\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32m-> 1950\u001b[1;33m                 \u001b[0mrv\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdispatch_request\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0m        \u001b[0;36mrv\u001b[0m \u001b[1;34m= None\u001b[0m\u001b[1;34m\n",
-      "        \u001b[0m\u001b[0;36mself.dispatch_request\u001b[0m \u001b[1;34m= <bound method Flask.dispatch_request of <Flask 'explainerdashboard.dashboards'>>\u001b[0m\n",
-      "\u001b[0;32m   1951\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m   1952\u001b[0m             \u001b[0mrv\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhandle_user_exception\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\n",
-      "\u001b[1;32m~/projects/explainerdashboard/venv/lib/python3.8/site-packages/flask/app.py\u001b[0m in \u001b[0;36mdispatch_request\u001b[1;34m(\n",
-      "    self=<Flask 'explainerdashboard.dashboards'>\n",
-      ")\u001b[0m\n",
-      "\u001b[0;32m   1934\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmake_default_options_response\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m   1935\u001b[0m         \u001b[1;31m# otherwise dispatch to the handler for that endpoint\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32m-> 1936\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mview_functions\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mrule\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mendpoint\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m**\u001b[0m\u001b[0mreq\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mview_args\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0m        \u001b[0;36mself.view_functions\u001b[0m \u001b[1;34m= {'static': <bound method _PackageBoundObject.send_static_file of <Flask 'explainerdashboard.dashboards'>>, '_dash_assets.static': <bound method _PackageBoundObject.send_static_file of <flask.blueprints.Blueprint object at 0x13297f3d0>>, '/_dash-component-suites/<string:package_name>/<path:fingerprinted_path>': <bound method Dash.serve_component_suites of <jupyter_dash.jupyter_app.JupyterDash object at 0x1329916a0>>, '/_dash-layout': <bound method Dash.serve_layout of <jupyter_dash.jupyter_app.JupyterDash object at 0x1329916a0>>, '/_dash-dependencies': <bound method Dash.dependencies of <jupyter_dash.jupyter_app.JupyterDash object at 0x1329916a0>>, '/_dash-update-component': <bound method Dash.dispatch of <jupyter_dash.jupyter_app.JupyterDash object at 0x1329916a0>>, '/_reload-hash': <bound method Dash.serve_reload_hash of <jupyter_dash.jupyter_app.JupyterDash object at 0x1329916a0>>, '/_favicon.ico': <function Dash._serve_default_favicon at 0x131690dc0>, '/': <bound method Dash.index of <jupyter_dash.jupyter_app.JupyterDash object at 0x1329916a0>>, '/<path:path>': <bound method Dash.index of <jupyter_dash.jupyter_app.JupyterDash object at 0x1329916a0>>, 'shutdown': <function JupyterDash.__init__.<locals>.shutdown at 0x1327b80d0>, 'alive': <function JupyterDash.__init__.<locals>.alive at 0x1328fc4c0>}\u001b[0m\u001b[1;34m\n",
-      "        \u001b[0m\u001b[0;36mrule.endpoint\u001b[0m \u001b[1;34m= '/_dash-update-component'\u001b[0m\u001b[1;34m\n",
-      "        \u001b[0m\u001b[0;36mreq.view_args\u001b[0m \u001b[1;34m= {}\u001b[0m\n",
-      "\u001b[0;32m   1937\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m   1938\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mfull_dispatch_request\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\n",
-      "\u001b[1;32m~/projects/explainerdashboard/venv/lib/python3.8/site-packages/dash/dash.py\u001b[0m in \u001b[0;36mdispatch\u001b[1;34m(\n",
-      "    self=<jupyter_dash.jupyter_app.JupyterDash object>\n",
-      ")\u001b[0m\n",
-      "\u001b[0;32m   1056\u001b[0m         \u001b[0margs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0minputs_to_vals\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minputs\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0mstate\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m   1057\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32m-> 1058\u001b[1;33m         \u001b[0mfunc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcallback_map\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0moutput\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"callback\"\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0m        \u001b[0;36mfunc\u001b[0m \u001b[1;34m= \u001b[1;36mundefined\u001b[0m\u001b[0m\u001b[1;34m\n",
-      "        \u001b[0m\u001b[0;36mself.callback_map\u001b[0m \u001b[1;34m= {'..shap-dependence-color-col-BHAr5VjNBW.options...shap-dependence-color-col-BHAr5VjNBW.value..': {'inputs': [{'id': 'shap-dependence-col-BHAr5VjNBW', 'property': 'value'}], 'state': [{'id': 'shap-dependence-group-cats-BHAr5VjNBW', 'property': 'checked'}, {'id': 'pos-label-BHAr5VjNBW', 'property': 'value'}], 'callback': <function ShapDependenceComponent.component_callbacks.<locals>.set_color_col_dropdown at 0x1329b8550>}, 'shap-dependence-graph-BHAr5VjNBW.figure': {'inputs': [{'id': 'shap-dependence-color-col-BHAr5VjNBW', 'property': 'value'}, {'id': 'shap-dependence-index-BHAr5VjNBW', 'property': 'value'}, {'id': 'pos-label-BHAr5VjNBW', 'property': 'value'}], 'state': [{'id': 'shap-dependence-col-BHAr5VjNBW', 'property': 'value'}], 'callback': <function ShapDependenceComponent.component_callbacks.<locals>.update_dependence_graph at 0x1329b8700>}, 'shap-dependence-col-BHAr5VjNBW.options': {'inputs': [{'id': 'shap-dependence-group-cats-BHAr5VjNBW', 'property': 'checked'}], 'state': [{'id': 'shap-dependence-col-BHAr5VjNBW', 'property': 'value'}], 'callback': <function ShapDependenceComponent.component_callbacks.<locals>.update_dependence_shap_scatter_graph at 0x1329b8820>}}\u001b[0m\u001b[1;34m\n",
-      "        \u001b[0m\u001b[0;36moutput\u001b[0m \u001b[1;34m= 'confusionmatrix-graph-JX6qNoVYbf.figure'\u001b[0m\n",
-      "\u001b[0;32m   1059\u001b[0m         \u001b[0mresponse\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_data\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moutputs_list\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0moutputs_list\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m   1060\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mresponse\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\n",
-      "\u001b[1;31mKeyError\u001b[0m: 'confusionmatrix-graph-JX6qNoVYbf.figure'\n",
-      "\n",
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n",
-      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)\n",
-      "\u001b[1;32m~/projects/explainerdashboard/venv/lib/python3.8/site-packages/flask/app.py\u001b[0m in \u001b[0;36mfull_dispatch_request\u001b[1;34m(\n",
-      "    self=<Flask 'explainerdashboard.dashboards'>\n",
-      ")\u001b[0m\n",
-      "\u001b[0;32m   1948\u001b[0m             \u001b[0mrv\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpreprocess_request\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m   1949\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mrv\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32m-> 1950\u001b[1;33m                 \u001b[0mrv\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdispatch_request\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0m        \u001b[0;36mrv\u001b[0m \u001b[1;34m= None\u001b[0m\u001b[1;34m\n",
-      "        \u001b[0m\u001b[0;36mself.dispatch_request\u001b[0m \u001b[1;34m= <bound method Flask.dispatch_request of <Flask 'explainerdashboard.dashboards'>>\u001b[0m\n",
-      "\u001b[0;32m   1951\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m   1952\u001b[0m             \u001b[0mrv\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhandle_user_exception\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\n",
-      "\u001b[1;32m~/projects/explainerdashboard/venv/lib/python3.8/site-packages/flask/app.py\u001b[0m in \u001b[0;36mdispatch_request\u001b[1;34m(\n",
-      "    self=<Flask 'explainerdashboard.dashboards'>\n",
-      ")\u001b[0m\n",
-      "\u001b[0;32m   1934\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmake_default_options_response\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m   1935\u001b[0m         \u001b[1;31m# otherwise dispatch to the handler for that endpoint\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32m-> 1936\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mview_functions\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mrule\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mendpoint\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m**\u001b[0m\u001b[0mreq\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mview_args\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0m        \u001b[0;36mself.view_functions\u001b[0m \u001b[1;34m= {'static': <bound method _PackageBoundObject.send_static_file of <Flask 'explainerdashboard.dashboards'>>, '_dash_assets.static': <bound method _PackageBoundObject.send_static_file of <flask.blueprints.Blueprint object at 0x13297f3d0>>, '/_dash-component-suites/<string:package_name>/<path:fingerprinted_path>': <bound method Dash.serve_component_suites of <jupyter_dash.jupyter_app.JupyterDash object at 0x1329916a0>>, '/_dash-layout': <bound method Dash.serve_layout of <jupyter_dash.jupyter_app.JupyterDash object at 0x1329916a0>>, '/_dash-dependencies': <bound method Dash.dependencies of <jupyter_dash.jupyter_app.JupyterDash object at 0x1329916a0>>, '/_dash-update-component': <bound method Dash.dispatch of <jupyter_dash.jupyter_app.JupyterDash object at 0x1329916a0>>, '/_reload-hash': <bound method Dash.serve_reload_hash of <jupyter_dash.jupyter_app.JupyterDash object at 0x1329916a0>>, '/_favicon.ico': <function Dash._serve_default_favicon at 0x131690dc0>, '/': <bound method Dash.index of <jupyter_dash.jupyter_app.JupyterDash object at 0x1329916a0>>, '/<path:path>': <bound method Dash.index of <jupyter_dash.jupyter_app.JupyterDash object at 0x1329916a0>>, 'shutdown': <function JupyterDash.__init__.<locals>.shutdown at 0x1327b80d0>, 'alive': <function JupyterDash.__init__.<locals>.alive at 0x1328fc4c0>}\u001b[0m\u001b[1;34m\n",
-      "        \u001b[0m\u001b[0;36mrule.endpoint\u001b[0m \u001b[1;34m= '/_dash-update-component'\u001b[0m\u001b[1;34m\n",
-      "        \u001b[0m\u001b[0;36mreq.view_args\u001b[0m \u001b[1;34m= {}\u001b[0m\n",
-      "\u001b[0;32m   1937\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m   1938\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mfull_dispatch_request\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\n",
-      "\u001b[1;32m~/projects/explainerdashboard/venv/lib/python3.8/site-packages/dash/dash.py\u001b[0m in \u001b[0;36mdispatch\u001b[1;34m(\n",
-      "    self=<jupyter_dash.jupyter_app.JupyterDash object>\n",
-      ")\u001b[0m\n",
-      "\u001b[0;32m   1056\u001b[0m         \u001b[0margs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0minputs_to_vals\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minputs\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0mstate\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m   1057\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32m-> 1058\u001b[1;33m         \u001b[0mfunc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcallback_map\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0moutput\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"callback\"\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0m        \u001b[0;36mfunc\u001b[0m \u001b[1;34m= \u001b[1;36mundefined\u001b[0m\u001b[0m\u001b[1;34m\n",
-      "        \u001b[0m\u001b[0;36mself.callback_map\u001b[0m \u001b[1;34m= {'..shap-dependence-color-col-BHAr5VjNBW.options...shap-dependence-color-col-BHAr5VjNBW.value..': {'inputs': [{'id': 'shap-dependence-col-BHAr5VjNBW', 'property': 'value'}], 'state': [{'id': 'shap-dependence-group-cats-BHAr5VjNBW', 'property': 'checked'}, {'id': 'pos-label-BHAr5VjNBW', 'property': 'value'}], 'callback': <function ShapDependenceComponent.component_callbacks.<locals>.set_color_col_dropdown at 0x1329b8550>}, 'shap-dependence-graph-BHAr5VjNBW.figure': {'inputs': [{'id': 'shap-dependence-color-col-BHAr5VjNBW', 'property': 'value'}, {'id': 'shap-dependence-index-BHAr5VjNBW', 'property': 'value'}, {'id': 'pos-label-BHAr5VjNBW', 'property': 'value'}], 'state': [{'id': 'shap-dependence-col-BHAr5VjNBW', 'property': 'value'}], 'callback': <function ShapDependenceComponent.component_callbacks.<locals>.update_dependence_graph at 0x1329b8700>}, 'shap-dependence-col-BHAr5VjNBW.options': {'inputs': [{'id': 'shap-dependence-group-cats-BHAr5VjNBW', 'property': 'checked'}], 'state': [{'id': 'shap-dependence-col-BHAr5VjNBW', 'property': 'value'}], 'callback': <function ShapDependenceComponent.component_callbacks.<locals>.update_dependence_shap_scatter_graph at 0x1329b8820>}}\u001b[0m\u001b[1;34m\n",
-      "        \u001b[0m\u001b[0;36moutput\u001b[0m \u001b[1;34m= 'confusionmatrix-graph-JX6qNoVYbf.figure'\u001b[0m\n",
-      "\u001b[0;32m   1059\u001b[0m         \u001b[0mresponse\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_data\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moutputs_list\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0moutputs_list\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m   1060\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mresponse\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\n",
-      "\u001b[1;31mKeyError\u001b[0m: 'confusionmatrix-graph-JX6qNoVYbf.figure'\n",
-      "\n"
-     ]
     }
    ],
    "source": [
@@ -1235,11 +1299,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 20,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T11:38:34.382554Z",
-     "start_time": "2020-10-12T11:38:34.357216Z"
+     "end_time": "2021-01-20T16:16:11.988450Z",
+     "start_time": "2021-01-20T16:16:11.977511Z"
     }
    },
    "outputs": [
@@ -1266,22 +1330,33 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "db1.terminate()"
+    "Also works as a `classmethod`:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 22,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T16:16:42.860081Z",
+     "start_time": "2021-01-20T16:16:42.851769Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Trying to shut down dashboard on port 8051...\n",
+      "Something seems to have failed: HTTPConnectionPool(host='localhost', port=8051): Max retries exceeded with url: /_shutdown_cb5be9b0-e8a9-4cc0-9181-cdb386085421 (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x135fc25b0>: Failed to establish a new connection: [Errno 61] Connection refused'))\n"
+     ]
+    }
+   ],
    "source": [
-    "db2 = ExplainerDashboard(explainer, mode='external')\n",
-    "db2.terminate(8051)"
+    "ExplainerDashboard.terminate(8051)"
    ]
   },
   {
diff --git a/explainer_examples.ipynb b/explainer_examples.ipynb
index 6b0c106..469d33c 100644
--- a/explainer_examples.ipynb
+++ b/explainer_examples.ipynb
@@ -32,8 +32,8 @@
    "execution_count": 1,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-13T08:31:16.174877Z",
-     "start_time": "2020-10-13T08:31:16.171032Z"
+     "end_time": "2021-01-20T15:55:03.916476Z",
+     "start_time": "2021-01-20T15:55:03.913187Z"
     }
    },
    "outputs": [],
@@ -57,11 +57,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-13T08:33:00.251832Z",
-     "start_time": "2020-10-13T08:33:00.247765Z"
+     "end_time": "2021-01-20T15:55:06.035114Z",
+     "start_time": "2021-01-20T15:55:06.031726Z"
     }
    },
    "outputs": [],
@@ -86,11 +86,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-13T08:33:03.740641Z",
-     "start_time": "2020-10-13T08:33:01.674780Z"
+     "end_time": "2021-01-20T15:55:17.651511Z",
+     "start_time": "2021-01-20T15:55:13.232391Z"
     }
    },
    "outputs": [
@@ -100,7 +100,7 @@
        "RandomForestClassifier(max_depth=5, n_estimators=50)"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -124,11 +124,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-13T08:33:06.896236Z",
-     "start_time": "2020-10-13T08:33:06.886307Z"
+     "end_time": "2021-01-20T15:55:24.381503Z",
+     "start_time": "2021-01-20T15:55:24.305274Z"
     }
    },
    "outputs": [
@@ -137,9 +137,9 @@
      "output_type": "stream",
      "text": [
       "Note: shap=='guess' so guessing for RandomForestClassifier shap='tree'...\n",
+      "Detected RandomForestClassifier model: Changing class type to RandomForestClassifierExplainer...\n",
       "Note: model_output=='probability', so assuming that raw shap output of RandomForestClassifier is in probability space...\n",
-      "Generating self.shap_explainer = shap.TreeExplainer(model)\n",
-      "Detected RandomForestClassifier model: Changing class type to RandomForestClassifierExplainer...\n"
+      "Generating self.shap_explainer = shap.TreeExplainer(model)\n"
      ]
     }
    ],
@@ -168,7 +168,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Get a dataframe of mean absolute shap value per feature, with onehot-encoded categorical features grouped together, and with a cutoff value of 0.01:"
+    "Get a dataframe of mean absolute shap value per feature and with a cutoff value of 0.01:"
    ]
   },
   {
@@ -176,8 +176,8 @@
    "execution_count": 5,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-13T08:31:23.393528Z",
-     "start_time": "2020-10-13T08:31:23.349214Z"
+     "end_time": "2021-01-20T15:55:44.720029Z",
+     "start_time": "2021-01-20T15:55:44.652868Z"
     }
    },
    "outputs": [
@@ -217,51 +217,51 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Sex</td>\n",
-       "      <td>0.196648</td>\n",
+       "      <td>0.184124</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>Deck</td>\n",
-       "      <td>0.052883</td>\n",
+       "      <td>0.052336</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>PassengerClass</td>\n",
-       "      <td>0.040827</td>\n",
+       "      <td>0.042172</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>Fare</td>\n",
-       "      <td>0.030360</td>\n",
+       "      <td>0.030872</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>No_of_relatives_on_board</td>\n",
-       "      <td>0.018210</td>\n",
+       "      <td>Embarked</td>\n",
+       "      <td>0.018526</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>Embarked</td>\n",
-       "      <td>0.013705</td>\n",
+       "      <td>Age</td>\n",
+       "      <td>0.013807</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td>Age</td>\n",
-       "      <td>0.012940</td>\n",
+       "      <td>No_of_parents_plus_children_on_board</td>\n",
+       "      <td>0.011674</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                    Feature  MEAN_ABS_SHAP\n",
-       "0                       Sex       0.196648\n",
-       "1                      Deck       0.052883\n",
-       "2            PassengerClass       0.040827\n",
-       "3                      Fare       0.030360\n",
-       "4  No_of_relatives_on_board       0.018210\n",
-       "5                  Embarked       0.013705\n",
-       "6                       Age       0.012940"
+       "                                Feature  MEAN_ABS_SHAP\n",
+       "0                                   Sex       0.184124\n",
+       "1                                  Deck       0.052336\n",
+       "2                        PassengerClass       0.042172\n",
+       "3                                  Fare       0.030872\n",
+       "4                              Embarked       0.018526\n",
+       "5                                   Age       0.013807\n",
+       "6  No_of_parents_plus_children_on_board       0.011674"
       ]
      },
      "execution_count": 5,
@@ -270,7 +270,7 @@
     }
    ],
    "source": [
-    "explainer.mean_abs_shap_df(cats=True, cutoff=0.01)"
+    "explainer.get_mean_abs_shap_df(cutoff=0.01)"
    ]
   },
   {
@@ -282,21 +282,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-13T08:31:25.589974Z",
-     "start_time": "2020-10-13T08:31:25.129298Z"
+     "end_time": "2021-01-20T15:55:58.989369Z",
+     "start_time": "2021-01-20T15:55:58.978162Z"
     }
    },
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Calculating permutation importances (if slow, try setting n_jobs parameter)...\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -326,129 +319,73 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Fare</td>\n",
-       "      <td>0.012189</td>\n",
-       "      <td>0.857567</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>No_of_relatives_on_board</td>\n",
-       "      <td>-0.013483</td>\n",
-       "      <td>0.883238</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>Age</td>\n",
-       "      <td>-0.009869</td>\n",
-       "      <td>0.879625</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>PassengerClass</td>\n",
-       "      <td>0.008198</td>\n",
-       "      <td>0.861558</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>No_of_siblings_plus_spouses_on_board</td>\n",
-       "      <td>-0.005501</td>\n",
-       "      <td>0.875256</td>\n",
+       "      <td>Sex</td>\n",
+       "      <td>0.218207</td>\n",
+       "      <td>0.670747</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>No_of_parents_plus_children_on_board</td>\n",
-       "      <td>-0.012728</td>\n",
-       "      <td>0.882483</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>Sex_female</td>\n",
-       "      <td>0.103387</td>\n",
-       "      <td>0.766368</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>Sex_male</td>\n",
-       "      <td>0.056844</td>\n",
-       "      <td>0.812911</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>Sex_nan</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.869755</td>\n",
+       "      <td>PassengerClass</td>\n",
+       "      <td>0.037590</td>\n",
+       "      <td>0.851364</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>Deck_A</td>\n",
-       "      <td>-0.000324</td>\n",
-       "      <td>0.870079</td>\n",
+       "      <th>1</th>\n",
+       "      <td>Deck</td>\n",
+       "      <td>0.025402</td>\n",
+       "      <td>0.863553</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>Deck_B</td>\n",
-       "      <td>0.002049</td>\n",
-       "      <td>0.867706</td>\n",
+       "      <th>3</th>\n",
+       "      <td>Fare</td>\n",
+       "      <td>0.015964</td>\n",
+       "      <td>0.872991</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>Deck_C</td>\n",
-       "      <td>0.001079</td>\n",
-       "      <td>0.868677</td>\n",
+       "      <th>2</th>\n",
+       "      <td>Embarked</td>\n",
+       "      <td>0.009977</td>\n",
+       "      <td>0.878977</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                                 Feature  Importance     Score\n",
-       "0                                   Fare    0.012189  0.857567\n",
-       "1               No_of_relatives_on_board   -0.013483  0.883238\n",
-       "2                                    Age   -0.009869  0.879625\n",
-       "3                         PassengerClass    0.008198  0.861558\n",
-       "4   No_of_siblings_plus_spouses_on_board   -0.005501  0.875256\n",
-       "5   No_of_parents_plus_children_on_board   -0.012728  0.882483\n",
-       "6                             Sex_female    0.103387  0.766368\n",
-       "7                               Sex_male    0.056844  0.812911\n",
-       "8                                Sex_nan    0.000000  0.869755\n",
-       "9                                 Deck_A   -0.000324  0.870079\n",
-       "10                                Deck_B    0.002049  0.867706\n",
-       "11                                Deck_C    0.001079  0.868677"
+       "          Feature  Importance     Score\n",
+       "0             Sex    0.218207  0.670747\n",
+       "5  PassengerClass    0.037590  0.851364\n",
+       "1            Deck    0.025402  0.863553\n",
+       "3            Fare    0.015964  0.872991\n",
+       "2        Embarked    0.009977  0.878977"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "explainer.permutation_importances_df(cats=False, topx=12)"
+    "explainer.get_permutation_importances_df(topx=5)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Plot mean absolute shap importances, grouping onehotencoded:"
+    "### Plot mean absolute shap importances:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 8,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-13T08:33:11.923987Z",
-     "start_time": "2020-10-13T08:33:11.772959Z"
+     "end_time": "2021-01-20T15:56:12.387143Z",
+     "start_time": "2021-01-20T15:56:12.196908Z"
     }
    },
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Calculating shap values...\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -543,18 +480,18 @@
          "orientation": "h",
          "text": [
           "the port where the passenger boarded the Titanic. Either Southampton, Cherbourg or Queenstown",
-          "The amount of money people paid",
+          "The amount of money people paid for their ticket",
           "The class of the ticket: 1st, 2nd or 3rd class",
           "The deck the passenger had their cabin on",
           "Gender of passenger"
          ],
          "type": "bar",
          "x": [
-          0.01808537788318903,
-          0.03366477024508309,
-          0.04597205355558952,
-          0.05395848184785389,
-          0.17841271254044236
+          0.01852646573222717,
+          0.030872357326097215,
+          0.042172419791323384,
+          0.05233567565529897,
+          0.18412376679140102
          ],
          "y": [
           "5. Embarked",
@@ -600,9 +537,9 @@
        }
       },
       "text/html": [
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@@ -632,14 +569,14 @@
     }
    ],
    "source": [
-    "explainer.plot_importances(kind='shap', topx=5, cats=True)"
+    "explainer.plot_importances(kind='shap', topx=5)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Permutation importances, not grouping categorical vars, showing top 10"
+    "### Permutation importances showing top 6"
    ]
   },
   {
@@ -647,8 +584,8 @@
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     "ExecuteTime": {
-     "end_time": "2020-10-12T08:39:01.588938Z",
-     "start_time": "2020-10-12T08:39:01.565207Z"
+     "end_time": "2021-01-20T15:56:34.294239Z",
+     "start_time": "2021-01-20T15:56:34.279837Z"
     }
    },
    "outputs": [
@@ -663,49 +600,37 @@
          "hoverinfo": "text",
          "orientation": "h",
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+          "the port where the passenger boarded the Titanic. Either Southampton, Cherbourg or Queenstown",
+          "The amount of money people paid for their ticket",
           "The deck the passenger had their cabin on",
-          "Gender of passenger",
-          "Gender of passenger",
-          "Gender of passenger",
-          "The sum of the number of parents plus the number of children on board",
-          "The sum of the number of siblings plus the number of spouses on board",
           "The class of the ticket: 1st, 2nd or 3rd class",
-          "Age of the passenger",
-          "number of siblings, spouses, parents plus children on board",
-          "The amount of money people paid"
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+          0.025401790529608337,
+          0.0375903354546433,
+          0.21820731312695507
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          "y": [
-          "10. No_of_siblings_plus_spouses_on_board",
-          "9. Age",
-          "8. Fare",
-          "7. PassengerClass",
-          "6. Sex_nan",
-          "5. Deck_A",
-          "4. No_of_parents_plus_children_on_board",
-          "3. No_of_relatives_on_board",
-          "2. Sex_female",
-          "1. Sex_male"
+          "6. Age",
+          "5. Embarked",
+          "4. Fare",
+          "3. Deck",
+          "2. PassengerClass",
+          "1. Sex"
          ]
         }
        ],
        "layout": {
-        "height": 400,
+        "height": 320,
         "margin": {
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+         "l": 98,
          "pad": 4,
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@@ -736,9 +661,9 @@
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        "                            \n",
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@@ -768,7 +693,7 @@
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-    "explainer.plot_importances(kind='permutation', topx=10, cats=False)"
+    "explainer.plot_importances(kind='permutation', topx=6)"
    ]
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   {
@@ -790,8 +715,8 @@
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     "ExecuteTime": {
-     "end_time": "2020-10-12T08:39:37.787166Z",
-     "start_time": "2020-10-12T08:39:37.602565Z"
+     "end_time": "2021-01-20T15:56:46.089707Z",
+     "start_time": "2021-01-20T15:56:45.864834Z"
     }
    },
    "outputs": [
@@ -805,1410 +730,1376 @@
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           "opacity": 0.3,
           "showscale": false,
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-         "name": "female",
+         "name": "Sex_male",
          "opacity": 0.8,
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-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Sex=female<br>shap=0.265",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Sex=female<br>shap=0.227",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Sex=female<br>shap=0.288",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Sex=female<br>shap=0.269",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Sex=female<br>shap=0.157",
-          "index=Glynn, Miss. Mary Agatha<br>Sex=female<br>shap=0.308",
-          "index=Devaney, Miss. Margaret Delia<br>Sex=female<br>shap=0.3",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Sex=female<br>shap=0.268",
-          "index=Rugg, Miss. Emily<br>Sex=female<br>shap=0.305",
-          "index=Ilett, Miss. Bertha<br>Sex=female<br>shap=0.306",
-          "index=Moran, Miss. Bertha<br>Sex=female<br>shap=0.26",
-          "index=Jussila, Miss. Katriina<br>Sex=female<br>shap=0.246",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Sex=female<br>shap=0.16",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Sex=female<br>shap=0.218",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Sex=female<br>shap=0.256",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Sex=female<br>shap=0.272",
-          "index=Asplund, Miss. Lillian Gertrud<br>Sex=female<br>shap=0.146",
-          "index=Harknett, Miss. Alice Phoebe<br>Sex=female<br>shap=0.272",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Sex=female<br>shap=0.296",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Sex=female<br>shap=0.323",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Sex=female<br>shap=0.308",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Sex=female<br>shap=0.258",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Sex=female<br>shap=0.245",
-          "index=Connolly, Miss. Kate<br>Sex=female<br>shap=0.296",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Sex=female<br>shap=0.241",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Sex=female<br>shap=0.281",
-          "index=Burns, Miss. Elizabeth Margaret<br>Sex=female<br>shap=0.247",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Sex=female<br>shap=0.276",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Sex=female<br>shap=0.183",
-          "index=Minahan, Miss. Daisy E<br>Sex=female<br>shap=0.268",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Sex=female<br>shap=0.321",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Sex=female<br>shap=0.303",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Sex=female<br>shap=0.299",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Sex=female<br>shap=0.313",
-          "index=Laitinen, Miss. Kristina Sofia<br>Sex=female<br>shap=0.263",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Sex=female<br>shap=0.324",
-          "index=Cacic, Miss. Marija<br>Sex=female<br>shap=0.265",
-          "index=Hart, Miss. Eva Miriam<br>Sex=female<br>shap=0.266",
-          "index=Ohman, Miss. Velin<br>Sex=female<br>shap=0.267",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Sex=female<br>shap=0.248",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Sex=female<br>shap=0.279",
-          "index=Bourke, Miss. Mary<br>Sex=female<br>shap=0.227",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Sex=female<br>shap=0.277",
-          "index=Shutes, Miss. Elizabeth W<br>Sex=female<br>shap=0.272",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Sex=female<br>shap=0.271",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Sex=female<br>shap=0.272",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Sex=female<br>shap=0.31",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Sex=female<br>shap=0.301",
-          "index=Turja, Miss. Anna Sofia<br>Sex=female<br>shap=0.256",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Sex=female<br>shap=0.238",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Sex=female<br>shap=0.212",
-          "index=Allen, Miss. Elisabeth Walton<br>Sex=female<br>shap=0.264",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Sex=female<br>shap=0.269",
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-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Sex=female<br>shap=0.247",
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+          "None=Harris, Mr. Henry Birkhardt<br>Sex=Sex_male<br>shap=-0.167",
+          "None=Skoog, Master. Harald<br>Sex=Sex_male<br>shap=-0.092",
+          "None=Kink, Mr. Vincenz<br>Sex=Sex_male<br>shap=-0.132",
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+          "None=Ali, Mr. Ahmed<br>Sex=Sex_male<br>shap=-0.138",
+          "None=Green, Mr. George Henry<br>Sex=Sex_male<br>shap=-0.137",
+          "None=Nenkoff, Mr. Christo<br>Sex=Sex_male<br>shap=-0.139",
+          "None=Hunt, Mr. George Henry<br>Sex=Sex_male<br>shap=-0.172",
+          "None=Reed, Mr. James George<br>Sex=Sex_male<br>shap=-0.139",
+          "None=Stead, Mr. William Thomas<br>Sex=Sex_male<br>shap=-0.152",
+          "None=Smith, Mr. Thomas<br>Sex=Sex_male<br>shap=-0.168",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Sex=Sex_male<br>shap=-0.087",
+          "None=Smith, Mr. Richard William<br>Sex=Sex_male<br>shap=-0.148",
+          "None=Levy, Mr. Rene Jacques<br>Sex=Sex_male<br>shap=-0.168",
+          "None=Lewy, Mr. Ervin G<br>Sex=Sex_male<br>shap=-0.186",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Sex=Sex_male<br>shap=-0.137",
+          "None=Sage, Mr. George John Jr<br>Sex=Sex_male<br>shap=-0.078",
+          "None=Nysveen, Mr. Johan Hansen<br>Sex=Sex_male<br>shap=-0.139",
+          "None=Denkoff, Mr. Mitto<br>Sex=Sex_male<br>shap=-0.139",
+          "None=Dimic, Mr. Jovan<br>Sex=Sex_male<br>shap=-0.135",
+          "None=del Carlo, Mr. Sebastiano<br>Sex=Sex_male<br>shap=-0.193",
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+          "None=Widener, Mr. Harry Elkins<br>Sex=Sex_male<br>shap=-0.160",
+          "None=Gustafsson, Mr. Karl Gideon<br>Sex=Sex_male<br>shap=-0.137",
+          "None=Plotcharsky, Mr. Vasil<br>Sex=Sex_male<br>shap=-0.139",
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+          "None=Sadlier, Mr. Matthew<br>Sex=Sex_male<br>shap=-0.169",
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+          "None=Niskanen, Mr. Juha<br>Sex=Sex_male<br>shap=-0.137",
+          "None=Matthews, Mr. William John<br>Sex=Sex_male<br>shap=-0.172",
+          "None=Charters, Mr. David<br>Sex=Sex_male<br>shap=-0.164",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Sex=Sex_male<br>shap=-0.137",
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+          "None=Anderson, Mr. Harry<br>Sex=Sex_male<br>shap=-0.147",
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+          "None=Saundercock, Mr. William Henry<br>Deck=Deck_Unkown<br>shap=-0.035",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>Deck=Deck_Unkown<br>shap=-0.023",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Deck=Deck_Unkown<br>shap=-0.041",
+          "None=Glynn, Miss. Mary Agatha<br>Deck=Deck_Unkown<br>shap=-0.020",
+          "None=Meyer, Mr. Edgar Joseph<br>Deck=Deck_Unkown<br>shap=-0.049",
+          "None=Kraeff, Mr. Theodor<br>Deck=Deck_Unkown<br>shap=-0.029",
+          "None=Devaney, Miss. Margaret Delia<br>Deck=Deck_Unkown<br>shap=-0.021",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Deck=Deck_Unkown<br>shap=-0.034",
+          "None=Rugg, Miss. Emily<br>Deck=Deck_Unkown<br>shap=-0.031",
+          "None=Skoog, Master. Harald<br>Deck=Deck_Unkown<br>shap=-0.037",
+          "None=Kink, Mr. Vincenz<br>Deck=Deck_Unkown<br>shap=-0.034",
+          "None=Hood, Mr. Ambrose Jr<br>Deck=Deck_Unkown<br>shap=-0.041",
+          "None=Ilett, Miss. Bertha<br>Deck=Deck_Unkown<br>shap=-0.030",
+          "None=Ford, Mr. William Neal<br>Deck=Deck_Unkown<br>shap=-0.039",
+          "None=Christmann, Mr. Emil<br>Deck=Deck_Unkown<br>shap=-0.034",
+          "None=Andreasson, Mr. Paul Edvin<br>Deck=Deck_Unkown<br>shap=-0.032",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Deck=Deck_Unkown<br>shap=-0.032",
+          "None=Rekic, Mr. Tido<br>Deck=Deck_Unkown<br>shap=-0.029",
+          "None=Moran, Miss. Bertha<br>Deck=Deck_Unkown<br>shap=-0.033",
+          "None=Barton, Mr. David John<br>Deck=Deck_Unkown<br>shap=-0.035",
+          "None=Jussila, Miss. Katriina<br>Deck=Deck_Unkown<br>shap=-0.027",
+          "None=Pekoniemi, Mr. Edvard<br>Deck=Deck_Unkown<br>shap=-0.035",
+          "None=Turpin, Mr. William John Robert<br>Deck=Deck_Unkown<br>shap=-0.043",
+          "None=Moore, Mr. Leonard Charles<br>Deck=Deck_Unkown<br>shap=-0.034",
+          "None=Osen, Mr. Olaf Elon<br>Deck=Deck_Unkown<br>shap=-0.035",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Deck=Deck_Unkown<br>shap=-0.039",
+          "None=Bateman, Rev. Robert James<br>Deck=Deck_Unkown<br>shap=-0.034",
+          "None=Meo, Mr. Alfonzo<br>Deck=Deck_Unkown<br>shap=-0.029",
+          "None=Cribb, Mr. John Hatfield<br>Deck=Deck_Unkown<br>shap=-0.031",
+          "None=Sivola, Mr. Antti Wilhelm<br>Deck=Deck_Unkown<br>shap=-0.035",
+          "None=Klasen, Mr. Klas Albin<br>Deck=Deck_Unkown<br>shap=-0.031",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Deck=Deck_Unkown<br>shap=-0.024",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Deck=Deck_Unkown<br>shap=-0.036",
+          "None=Backstrom, Mr. Karl Alfred<br>Deck=Deck_Unkown<br>shap=-0.037",
+          "None=Ali, Mr. Ahmed<br>Deck=Deck_Unkown<br>shap=-0.031",
+          "None=Green, Mr. George Henry<br>Deck=Deck_Unkown<br>shap=-0.028",
+          "None=Nenkoff, Mr. Christo<br>Deck=Deck_Unkown<br>shap=-0.032",
+          "None=Asplund, Miss. Lillian Gertrud<br>Deck=Deck_Unkown<br>shap=-0.040",
+          "None=Harknett, Miss. Alice Phoebe<br>Deck=Deck_Unkown<br>shap=-0.022",
+          "None=Hunt, Mr. George Henry<br>Deck=Deck_Unkown<br>shap=-0.044",
+          "None=Reed, Mr. James George<br>Deck=Deck_Unkown<br>shap=-0.030",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Deck=Deck_Unkown<br>shap=-0.031",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Deck=Deck_Unkown<br>shap=-0.026",
+          "None=Smith, Mr. Thomas<br>Deck=Deck_Unkown<br>shap=-0.027",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Deck=Deck_Unkown<br>shap=-0.036",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Deck=Deck_Unkown<br>shap=-0.020",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Deck=Deck_Unkown<br>shap=-0.033",
+          "None=Connolly, Miss. Kate<br>Deck=Deck_Unkown<br>shap=-0.021",
+          "None=Lewy, Mr. Ervin G<br>Deck=Deck_Unkown<br>shap=-0.042",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Deck=Deck_Unkown<br>shap=-0.034",
+          "None=Sage, Mr. George John Jr<br>Deck=Deck_Unkown<br>shap=-0.040",
+          "None=Nysveen, Mr. Johan Hansen<br>Deck=Deck_Unkown<br>shap=-0.027",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Deck=Deck_Unkown<br>shap=-0.029",
+          "None=Denkoff, Mr. Mitto<br>Deck=Deck_Unkown<br>shap=-0.032",
+          "None=Dimic, Mr. Jovan<br>Deck=Deck_Unkown<br>shap=-0.031",
+          "None=del Carlo, Mr. Sebastiano<br>Deck=Deck_Unkown<br>shap=-0.044",
+          "None=Beavan, Mr. William Thomas<br>Deck=Deck_Unkown<br>shap=-0.034",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Deck=Deck_Unkown<br>shap=-0.032",
+          "None=Gustafsson, Mr. Karl Gideon<br>Deck=Deck_Unkown<br>shap=-0.031",
+          "None=Plotcharsky, Mr. Vasil<br>Deck=Deck_Unkown<br>shap=-0.032",
+          "None=Goodwin, Master. Sidney Leonard<br>Deck=Deck_Unkown<br>shap=-0.037",
+          "None=Sadlier, Mr. Matthew<br>Deck=Deck_Unkown<br>shap=-0.027",
+          "None=Gustafsson, Mr. Johan Birger<br>Deck=Deck_Unkown<br>shap=-0.035",
+          "None=Niskanen, Mr. Juha<br>Deck=Deck_Unkown<br>shap=-0.031",
+          "None=Matthews, Mr. William John<br>Deck=Deck_Unkown<br>shap=-0.043",
+          "None=Charters, Mr. David<br>Deck=Deck_Unkown<br>shap=-0.028",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Deck=Deck_Unkown<br>shap=-0.037",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Deck=Deck_Unkown<br>shap=-0.029",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Deck=Deck_Unkown<br>shap=-0.034",
+          "None=Milling, Mr. Jacob Christian<br>Deck=Deck_Unkown<br>shap=-0.034",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Deck=Deck_Unkown<br>shap=-0.036",
+          "None=Karlsson, Mr. Nils August<br>Deck=Deck_Unkown<br>shap=-0.031",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Deck=Deck_Unkown<br>shap=-0.035",
+          "None=Windelov, Mr. Einar<br>Deck=Deck_Unkown<br>shap=-0.031",
+          "None=Shellard, Mr. Frederick William<br>Deck=Deck_Unkown<br>shap=-0.037",
+          "None=Svensson, Mr. Olof<br>Deck=Deck_Unkown<br>shap=-0.031",
+          "None=O'Sullivan, Miss. Bridget Mary<br>Deck=Deck_Unkown<br>shap=-0.020",
+          "None=Laitinen, Miss. Kristina Sofia<br>Deck=Deck_Unkown<br>shap=-0.025",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Deck=Deck_Unkown<br>shap=-0.039",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Deck=Deck_Unkown<br>shap=-0.037",
+          "None=Kassem, Mr. Fared<br>Deck=Deck_Unkown<br>shap=-0.029",
+          "None=Cacic, Miss. Marija<br>Deck=Deck_Unkown<br>shap=-0.025",
+          "None=Hart, Miss. Eva Miriam<br>Deck=Deck_Unkown<br>shap=-0.033",
+          "None=Beane, Mr. Edward<br>Deck=Deck_Unkown<br>shap=-0.043",
+          "None=Goldsmith, Mr. Frank John<br>Deck=Deck_Unkown<br>shap=-0.038",
+          "None=Ohman, Miss. Velin<br>Deck=Deck_Unkown<br>shap=-0.024",
+          "None=Morrow, Mr. Thomas Rowan<br>Deck=Deck_Unkown<br>shap=-0.027",
+          "None=Harris, Mr. George<br>Deck=Deck_Unkown<br>shap=-0.036",
+          "None=Patchett, Mr. George<br>Deck=Deck_Unkown<br>shap=-0.038",
+          "None=Murdlin, Mr. Joseph<br>Deck=Deck_Unkown<br>shap=-0.034",
+          "None=Bourke, Miss. Mary<br>Deck=Deck_Unkown<br>shap=-0.021",
+          "None=Boulos, Mr. Hanna<br>Deck=Deck_Unkown<br>shap=-0.029",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>Deck=Deck_Unkown<br>shap=-0.045",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Deck=Deck_Unkown<br>shap=-0.038",
+          "None=Daniel, Mr. Robert Williams<br>Deck=Deck_Unkown<br>shap=-0.042",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Deck=Deck_Unkown<br>shap=-0.028",
+          "None=Jardin, Mr. Jose Neto<br>Deck=Deck_Unkown<br>shap=-0.031",
+          "None=Horgan, Mr. John<br>Deck=Deck_Unkown<br>shap=-0.027",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Deck=Deck_Unkown<br>shap=-0.035",
+          "None=Yasbeck, Mr. Antoni<br>Deck=Deck_Unkown<br>shap=-0.038",
+          "None=Bostandyeff, Mr. Guentcho<br>Deck=Deck_Unkown<br>shap=-0.032",
+          "None=Lundahl, Mr. Johan Svensson<br>Deck=Deck_Unkown<br>shap=-0.027",
+          "None=Willey, Mr. Edward<br>Deck=Deck_Unkown<br>shap=-0.030",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>Deck=Deck_Unkown<br>shap=-0.024",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>Deck=Deck_Unkown<br>shap=-0.021",
+          "None=Eitemiller, Mr. George Floyd<br>Deck=Deck_Unkown<br>shap=-0.043",
+          "None=Coleff, Mr. Peju<br>Deck=Deck_Unkown<br>shap=-0.031",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Deck=Deck_Unkown<br>shap=-0.031",
+          "None=Turja, Miss. Anna Sofia<br>Deck=Deck_Unkown<br>shap=-0.026",
+          "None=Goodwin, Mr. Charles Edward<br>Deck=Deck_Unkown<br>shap=-0.038",
+          "None=Panula, Mr. Jaako Arnold<br>Deck=Deck_Unkown<br>shap=-0.037",
+          "None=Fischer, Mr. Eberhard Thelander<br>Deck=Deck_Unkown<br>shap=-0.031",
+          "None=Hansen, Mr. Henrik Juul<br>Deck=Deck_Unkown<br>shap=-0.032",
+          "None=Larsson, Mr. August Viktor<br>Deck=Deck_Unkown<br>shap=-0.036",
+          "None=Greenberg, Mr. Samuel<br>Deck=Deck_Unkown<br>shap=-0.034",
+          "None=McEvoy, Mr. Michael<br>Deck=Deck_Unkown<br>shap=-0.034",
+          "None=Johnson, Mr. Malkolm Joackim<br>Deck=Deck_Unkown<br>shap=-0.031",
+          "None=Gillespie, Mr. William Henry<br>Deck=Deck_Unkown<br>shap=-0.043",
+          "None=Berriman, Mr. William John<br>Deck=Deck_Unkown<br>shap=-0.043",
+          "None=Troupiansky, Mr. Moses Aaron<br>Deck=Deck_Unkown<br>shap=-0.043",
+          "None=Williams, Mr. Leslie<br>Deck=Deck_Unkown<br>shap=-0.038",
+          "None=Ivanoff, Mr. Kanio<br>Deck=Deck_Unkown<br>shap=-0.032",
+          "None=McNamee, Mr. Neal<br>Deck=Deck_Unkown<br>shap=-0.039",
+          "None=Connaghton, Mr. Michael<br>Deck=Deck_Unkown<br>shap=-0.029",
+          "None=Carlsson, Mr. August Sigfrid<br>Deck=Deck_Unkown<br>shap=-0.031",
+          "None=Eklund, Mr. Hans Linus<br>Deck=Deck_Unkown<br>shap=-0.031",
+          "None=Moran, Mr. Daniel J<br>Deck=Deck_Unkown<br>shap=-0.037",
+          "None=Lievens, Mr. Rene Aime<br>Deck=Deck_Unkown<br>shap=-0.036",
+          "None=Ayoub, Miss. Banoura<br>Deck=Deck_Unkown<br>shap=-0.022",
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-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>PassengerClass=1<br>shap=0.057",
-          "index=Palsson, Master. Gosta Leonard<br>PassengerClass=3<br>shap=-0.037",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>PassengerClass=3<br>shap=-0.055",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>PassengerClass=2<br>shap=0.062",
-          "index=Saundercock, Mr. William Henry<br>PassengerClass=3<br>shap=-0.019",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>PassengerClass=3<br>shap=-0.048",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>PassengerClass=3<br>shap=-0.098",
-          "index=Glynn, Miss. Mary Agatha<br>PassengerClass=3<br>shap=-0.04",
-          "index=Meyer, Mr. Edgar Joseph<br>PassengerClass=1<br>shap=0.017",
-          "index=Kraeff, Mr. Theodor<br>PassengerClass=3<br>shap=-0.018",
-          "index=Devaney, Miss. Margaret Delia<br>PassengerClass=3<br>shap=-0.046",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>PassengerClass=3<br>shap=-0.066",
-          "index=Rugg, Miss. Emily<br>PassengerClass=2<br>shap=0.05",
-          "index=Harris, Mr. Henry Birkhardt<br>PassengerClass=1<br>shap=0.023",
-          "index=Skoog, Master. Harald<br>PassengerClass=3<br>shap=-0.043",
-          "index=Kink, Mr. Vincenz<br>PassengerClass=3<br>shap=-0.023",
-          "index=Hood, Mr. Ambrose Jr<br>PassengerClass=2<br>shap=0.017",
-          "index=Ilett, Miss. Bertha<br>PassengerClass=2<br>shap=0.049",
-          "index=Ford, Mr. William Neal<br>PassengerClass=3<br>shap=-0.033",
-          "index=Christmann, Mr. Emil<br>PassengerClass=3<br>shap=-0.019",
-          "index=Andreasson, Mr. Paul Edvin<br>PassengerClass=3<br>shap=-0.019",
-          "index=Chaffee, Mr. Herbert Fuller<br>PassengerClass=1<br>shap=0.016",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>PassengerClass=3<br>shap=-0.018",
-          "index=White, Mr. Richard Frasar<br>PassengerClass=1<br>shap=0.032",
-          "index=Rekic, Mr. Tido<br>PassengerClass=3<br>shap=-0.02",
-          "index=Moran, Miss. Bertha<br>PassengerClass=3<br>shap=-0.071",
-          "index=Barton, Mr. David John<br>PassengerClass=3<br>shap=-0.019",
-          "index=Jussila, Miss. Katriina<br>PassengerClass=3<br>shap=-0.054",
-          "index=Pekoniemi, Mr. Edvard<br>PassengerClass=3<br>shap=-0.019",
-          "index=Turpin, Mr. William John Robert<br>PassengerClass=2<br>shap=0.023",
-          "index=Moore, Mr. Leonard Charles<br>PassengerClass=3<br>shap=-0.018",
-          "index=Osen, Mr. Olaf Elon<br>PassengerClass=3<br>shap=-0.019",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>PassengerClass=3<br>shap=-0.092",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>PassengerClass=2<br>shap=0.034",
-          "index=Bateman, Rev. Robert James<br>PassengerClass=2<br>shap=0.02",
-          "index=Meo, Mr. Alfonzo<br>PassengerClass=3<br>shap=-0.026",
-          "index=Cribb, Mr. John Hatfield<br>PassengerClass=3<br>shap=-0.023",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>PassengerClass=1<br>shap=0.058",
-          "index=Van der hoef, Mr. Wyckoff<br>PassengerClass=1<br>shap=0.023",
-          "index=Sivola, Mr. Antti Wilhelm<br>PassengerClass=3<br>shap=-0.019",
-          "index=Klasen, Mr. Klas Albin<br>PassengerClass=3<br>shap=-0.022",
-          "index=Rood, Mr. Hugh Roscoe<br>PassengerClass=1<br>shap=0.026",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>PassengerClass=3<br>shap=-0.053",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>PassengerClass=1<br>shap=0.057",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>PassengerClass=3<br>shap=-0.02",
-          "index=Backstrom, Mr. Karl Alfred<br>PassengerClass=3<br>shap=-0.024",
-          "index=Blank, Mr. Henry<br>PassengerClass=1<br>shap=0.025",
-          "index=Ali, Mr. Ahmed<br>PassengerClass=3<br>shap=-0.019",
-          "index=Green, Mr. George Henry<br>PassengerClass=3<br>shap=-0.026",
-          "index=Nenkoff, Mr. Christo<br>PassengerClass=3<br>shap=-0.018",
-          "index=Asplund, Miss. Lillian Gertrud<br>PassengerClass=3<br>shap=-0.092",
-          "index=Harknett, Miss. Alice Phoebe<br>PassengerClass=3<br>shap=-0.045",
-          "index=Hunt, Mr. George Henry<br>PassengerClass=2<br>shap=0.019",
-          "index=Reed, Mr. James George<br>PassengerClass=3<br>shap=-0.018",
-          "index=Stead, Mr. William Thomas<br>PassengerClass=1<br>shap=0.026",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>PassengerClass=1<br>shap=0.054",
-          "index=Parrish, Mrs. (Lutie Davis)<br>PassengerClass=2<br>shap=0.08",
-          "index=Smith, Mr. Thomas<br>PassengerClass=3<br>shap=-0.017",
-          "index=Asplund, Master. Edvin Rojj Felix<br>PassengerClass=3<br>shap=-0.042",
-          "index=Healy, Miss. Hanora \"Nora\"<br>PassengerClass=3<br>shap=-0.04",
-          "index=Andrews, Miss. Kornelia Theodosia<br>PassengerClass=1<br>shap=0.063",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>PassengerClass=3<br>shap=-0.075",
-          "index=Smith, Mr. Richard William<br>PassengerClass=1<br>shap=0.029",
-          "index=Connolly, Miss. Kate<br>PassengerClass=3<br>shap=-0.048",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>PassengerClass=1<br>shap=0.05",
-          "index=Levy, Mr. Rene Jacques<br>PassengerClass=2<br>shap=0.026",
-          "index=Lewy, Mr. Ervin G<br>PassengerClass=1<br>shap=0.02",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>PassengerClass=3<br>shap=-0.018",
-          "index=Sage, Mr. George John Jr<br>PassengerClass=3<br>shap=-0.044",
-          "index=Nysveen, Mr. Johan Hansen<br>PassengerClass=3<br>shap=-0.026",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>PassengerClass=1<br>shap=0.071",
-          "index=Denkoff, Mr. Mitto<br>PassengerClass=3<br>shap=-0.018",
-          "index=Burns, Miss. Elizabeth Margaret<br>PassengerClass=1<br>shap=0.047",
-          "index=Dimic, Mr. Jovan<br>PassengerClass=3<br>shap=-0.025",
-          "index=del Carlo, Mr. Sebastiano<br>PassengerClass=2<br>shap=0.022",
-          "index=Beavan, Mr. William Thomas<br>PassengerClass=3<br>shap=-0.019",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>PassengerClass=1<br>shap=0.058",
-          "index=Widener, Mr. Harry Elkins<br>PassengerClass=1<br>shap=0.02",
-          "index=Gustafsson, Mr. Karl Gideon<br>PassengerClass=3<br>shap=-0.019",
-          "index=Plotcharsky, Mr. Vasil<br>PassengerClass=3<br>shap=-0.018",
-          "index=Goodwin, Master. Sidney Leonard<br>PassengerClass=3<br>shap=-0.042",
-          "index=Sadlier, Mr. Matthew<br>PassengerClass=3<br>shap=-0.017",
-          "index=Gustafsson, Mr. Johan Birger<br>PassengerClass=3<br>shap=-0.023",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>PassengerClass=3<br>shap=-0.062",
-          "index=Niskanen, Mr. Juha<br>PassengerClass=3<br>shap=-0.022",
-          "index=Minahan, Miss. Daisy E<br>PassengerClass=1<br>shap=0.043",
-          "index=Matthews, Mr. William John<br>PassengerClass=2<br>shap=0.019",
-          "index=Charters, Mr. David<br>PassengerClass=3<br>shap=-0.018",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>PassengerClass=2<br>shap=0.07",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>PassengerClass=2<br>shap=0.08",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>PassengerClass=3<br>shap=-0.018",
-          "index=Peuchen, Major. Arthur Godfrey<br>PassengerClass=1<br>shap=0.026",
-          "index=Anderson, Mr. Harry<br>PassengerClass=1<br>shap=0.016",
-          "index=Milling, Mr. Jacob Christian<br>PassengerClass=2<br>shap=0.022",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>PassengerClass=2<br>shap=0.08",
-          "index=Karlsson, Mr. Nils August<br>PassengerClass=3<br>shap=-0.019",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>PassengerClass=2<br>shap=0.005",
-          "index=Bishop, Mr. Dickinson H<br>PassengerClass=1<br>shap=0.024",
-          "index=Windelov, Mr. Einar<br>PassengerClass=3<br>shap=-0.019",
-          "index=Shellard, Mr. Frederick William<br>PassengerClass=3<br>shap=-0.022",
-          "index=Svensson, Mr. Olof<br>PassengerClass=3<br>shap=-0.019",
-          "index=O'Sullivan, Miss. Bridget Mary<br>PassengerClass=3<br>shap=-0.04",
-          "index=Laitinen, Miss. Kristina Sofia<br>PassengerClass=3<br>shap=-0.054",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>PassengerClass=1<br>shap=0.023",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>PassengerClass=1<br>shap=0.027",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>PassengerClass=2<br>shap=0.08",
-          "index=Kassem, Mr. Fared<br>PassengerClass=3<br>shap=-0.018",
-          "index=Cacic, Miss. Marija<br>PassengerClass=3<br>shap=-0.052",
-          "index=Hart, Miss. Eva Miriam<br>PassengerClass=2<br>shap=0.083",
-          "index=Butt, Major. Archibald Willingham<br>PassengerClass=1<br>shap=0.024",
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-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>PassengerClass=1<br>shap=0.061",
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-          "index=Ross, Mr. John Hugo<br>PassengerClass=1<br>shap=0.026",
-          "index=Murdlin, Mr. Joseph<br>PassengerClass=3<br>shap=-0.018",
-          "index=Bourke, Miss. Mary<br>PassengerClass=3<br>shap=-0.039",
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-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>PassengerClass=1<br>shap=0.019",
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-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>PassengerClass=1<br>shap=0.049",
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+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>PassengerClass=1<br>shap=0.083",
+          "None=Palsson, Master. Gosta Leonard<br>PassengerClass=3<br>shap=-0.040",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>PassengerClass=3<br>shap=-0.077",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>PassengerClass=2<br>shap=0.061",
+          "None=Saundercock, Mr. William Henry<br>PassengerClass=3<br>shap=-0.025",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>PassengerClass=3<br>shap=-0.060",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>PassengerClass=3<br>shap=-0.092",
+          "None=Glynn, Miss. Mary Agatha<br>PassengerClass=3<br>shap=-0.047",
+          "None=Meyer, Mr. Edgar Joseph<br>PassengerClass=1<br>shap=0.039",
+          "None=Kraeff, Mr. Theodor<br>PassengerClass=3<br>shap=-0.022",
+          "None=Devaney, Miss. Margaret Delia<br>PassengerClass=3<br>shap=-0.051",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>PassengerClass=3<br>shap=-0.069",
+          "None=Rugg, Miss. Emily<br>PassengerClass=2<br>shap=0.053",
+          "None=Harris, Mr. Henry Birkhardt<br>PassengerClass=1<br>shap=0.046",
+          "None=Skoog, Master. Harald<br>PassengerClass=3<br>shap=-0.045",
+          "None=Kink, Mr. Vincenz<br>PassengerClass=3<br>shap=-0.028",
+          "None=Hood, Mr. Ambrose Jr<br>PassengerClass=2<br>shap=0.013",
+          "None=Ilett, Miss. Bertha<br>PassengerClass=2<br>shap=0.053",
+          "None=Ford, Mr. William Neal<br>PassengerClass=3<br>shap=-0.042",
+          "None=Christmann, Mr. Emil<br>PassengerClass=3<br>shap=-0.025",
+          "None=Andreasson, Mr. Paul Edvin<br>PassengerClass=3<br>shap=-0.025",
+          "None=Chaffee, Mr. Herbert Fuller<br>PassengerClass=1<br>shap=0.030",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>PassengerClass=3<br>shap=-0.025",
+          "None=White, Mr. Richard Frasar<br>PassengerClass=1<br>shap=0.054",
+          "None=Rekic, Mr. Tido<br>PassengerClass=3<br>shap=-0.027",
+          "None=Moran, Miss. Bertha<br>PassengerClass=3<br>shap=-0.063",
+          "None=Barton, Mr. David John<br>PassengerClass=3<br>shap=-0.025",
+          "None=Jussila, Miss. Katriina<br>PassengerClass=3<br>shap=-0.062",
+          "None=Pekoniemi, Mr. Edvard<br>PassengerClass=3<br>shap=-0.025",
+          "None=Turpin, Mr. William John Robert<br>PassengerClass=2<br>shap=0.013",
+          "None=Moore, Mr. Leonard Charles<br>PassengerClass=3<br>shap=-0.025",
+          "None=Osen, Mr. Olaf Elon<br>PassengerClass=3<br>shap=-0.025",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>PassengerClass=3<br>shap=-0.091",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>PassengerClass=2<br>shap=0.054",
+          "None=Bateman, Rev. Robert James<br>PassengerClass=2<br>shap=0.018",
+          "None=Meo, Mr. Alfonzo<br>PassengerClass=3<br>shap=-0.025",
+          "None=Cribb, Mr. John Hatfield<br>PassengerClass=3<br>shap=-0.036",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>PassengerClass=1<br>shap=0.071",
+          "None=Van der hoef, Mr. Wyckoff<br>PassengerClass=1<br>shap=0.036",
+          "None=Sivola, Mr. Antti Wilhelm<br>PassengerClass=3<br>shap=-0.025",
+          "None=Klasen, Mr. Klas Albin<br>PassengerClass=3<br>shap=-0.031",
+          "None=Rood, Mr. Hugh Roscoe<br>PassengerClass=1<br>shap=0.043",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>PassengerClass=3<br>shap=-0.062",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>PassengerClass=1<br>shap=0.066",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>PassengerClass=3<br>shap=-0.025",
+          "None=Backstrom, Mr. Karl Alfred<br>PassengerClass=3<br>shap=-0.025",
+          "None=Blank, Mr. Henry<br>PassengerClass=1<br>shap=0.038",
+          "None=Ali, Mr. Ahmed<br>PassengerClass=3<br>shap=-0.025",
+          "None=Green, Mr. George Henry<br>PassengerClass=3<br>shap=-0.027",
+          "None=Nenkoff, Mr. Christo<br>PassengerClass=3<br>shap=-0.025",
+          "None=Asplund, Miss. Lillian Gertrud<br>PassengerClass=3<br>shap=-0.095",
+          "None=Harknett, Miss. Alice Phoebe<br>PassengerClass=3<br>shap=-0.058",
+          "None=Hunt, Mr. George Henry<br>PassengerClass=2<br>shap=0.015",
+          "None=Reed, Mr. James George<br>PassengerClass=3<br>shap=-0.025",
+          "None=Stead, Mr. William Thomas<br>PassengerClass=1<br>shap=0.046",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>PassengerClass=1<br>shap=0.073",
+          "None=Parrish, Mrs. (Lutie Davis)<br>PassengerClass=2<br>shap=0.078",
+          "None=Smith, Mr. Thomas<br>PassengerClass=3<br>shap=-0.022",
+          "None=Asplund, Master. Edvin Rojj Felix<br>PassengerClass=3<br>shap=-0.045",
+          "None=Healy, Miss. Hanora \"Nora\"<br>PassengerClass=3<br>shap=-0.047",
+          "None=Andrews, Miss. Kornelia Theodosia<br>PassengerClass=1<br>shap=0.078",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>PassengerClass=3<br>shap=-0.078",
+          "None=Smith, Mr. Richard William<br>PassengerClass=1<br>shap=0.045",
+          "None=Connolly, Miss. Kate<br>PassengerClass=3<br>shap=-0.051",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>PassengerClass=1<br>shap=0.065",
+          "None=Levy, Mr. Rene Jacques<br>PassengerClass=2<br>shap=0.039",
+          "None=Lewy, Mr. Ervin G<br>PassengerClass=1<br>shap=0.033",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>PassengerClass=3<br>shap=-0.025",
+          "None=Sage, Mr. George John Jr<br>PassengerClass=3<br>shap=-0.049",
+          "None=Nysveen, Mr. Johan Hansen<br>PassengerClass=3<br>shap=-0.024",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>PassengerClass=1<br>shap=0.092",
+          "None=Denkoff, Mr. Mitto<br>PassengerClass=3<br>shap=-0.025",
+          "None=Burns, Miss. Elizabeth Margaret<br>PassengerClass=1<br>shap=0.063",
+          "None=Dimic, Mr. Jovan<br>PassengerClass=3<br>shap=-0.027",
+          "None=del Carlo, Mr. Sebastiano<br>PassengerClass=2<br>shap=0.007",
+          "None=Beavan, Mr. William Thomas<br>PassengerClass=3<br>shap=-0.025",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>PassengerClass=1<br>shap=0.073",
+          "None=Widener, Mr. Harry Elkins<br>PassengerClass=1<br>shap=0.055",
+          "None=Gustafsson, Mr. Karl Gideon<br>PassengerClass=3<br>shap=-0.025",
+          "None=Plotcharsky, Mr. Vasil<br>PassengerClass=3<br>shap=-0.025",
+          "None=Goodwin, Master. Sidney Leonard<br>PassengerClass=3<br>shap=-0.045",
+          "None=Sadlier, Mr. Matthew<br>PassengerClass=3<br>shap=-0.021",
+          "None=Gustafsson, Mr. Johan Birger<br>PassengerClass=3<br>shap=-0.028",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>PassengerClass=3<br>shap=-0.084",
+          "None=Niskanen, Mr. Juha<br>PassengerClass=3<br>shap=-0.024",
+          "None=Minahan, Miss. Daisy E<br>PassengerClass=1<br>shap=0.078",
+          "None=Matthews, Mr. William John<br>PassengerClass=2<br>shap=0.014",
+          "None=Charters, Mr. David<br>PassengerClass=3<br>shap=-0.023",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>PassengerClass=2<br>shap=0.070",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>PassengerClass=2<br>shap=0.079",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>PassengerClass=3<br>shap=-0.025",
+          "None=Peuchen, Major. Arthur Godfrey<br>PassengerClass=1<br>shap=0.044",
+          "None=Anderson, Mr. Harry<br>PassengerClass=1<br>shap=0.036",
+          "None=Milling, Mr. Jacob Christian<br>PassengerClass=2<br>shap=0.018",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>PassengerClass=2<br>shap=0.086",
+          "None=Karlsson, Mr. Nils August<br>PassengerClass=3<br>shap=-0.025",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>PassengerClass=2<br>shap=0.012",
+          "None=Bishop, Mr. Dickinson H<br>PassengerClass=1<br>shap=0.041",
+          "None=Windelov, Mr. Einar<br>PassengerClass=3<br>shap=-0.025",
+          "None=Shellard, Mr. Frederick William<br>PassengerClass=3<br>shap=-0.028",
+          "None=Svensson, Mr. Olof<br>PassengerClass=3<br>shap=-0.025",
+          "None=O'Sullivan, Miss. Bridget Mary<br>PassengerClass=3<br>shap=-0.046",
+          "None=Laitinen, Miss. Kristina Sofia<br>PassengerClass=3<br>shap=-0.063",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>PassengerClass=1<br>shap=0.047",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>PassengerClass=1<br>shap=0.051",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>PassengerClass=2<br>shap=0.069",
+          "None=Kassem, Mr. Fared<br>PassengerClass=3<br>shap=-0.021",
+          "None=Cacic, Miss. Marija<br>PassengerClass=3<br>shap=-0.061",
+          "None=Hart, Miss. Eva Miriam<br>PassengerClass=2<br>shap=0.081",
+          "None=Butt, Major. Archibald Willingham<br>PassengerClass=1<br>shap=0.043",
+          "None=Beane, Mr. Edward<br>PassengerClass=2<br>shap=0.010",
+          "None=Goldsmith, Mr. Frank John<br>PassengerClass=3<br>shap=-0.039",
+          "None=Ohman, Miss. Velin<br>PassengerClass=3<br>shap=-0.061",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>PassengerClass=1<br>shap=0.077",
+          "None=Morrow, Mr. Thomas Rowan<br>PassengerClass=3<br>shap=-0.022",
+          "None=Harris, Mr. George<br>PassengerClass=2<br>shap=0.012",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>PassengerClass=1<br>shap=0.080",
+          "None=Patchett, Mr. George<br>PassengerClass=3<br>shap=-0.028",
+          "None=Ross, Mr. John Hugo<br>PassengerClass=1<br>shap=0.043",
+          "None=Murdlin, Mr. Joseph<br>PassengerClass=3<br>shap=-0.025",
+          "None=Bourke, Miss. Mary<br>PassengerClass=3<br>shap=-0.059",
+          "None=Boulos, Mr. Hanna<br>PassengerClass=3<br>shap=-0.021",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>PassengerClass=1<br>shap=0.045",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>PassengerClass=1<br>shap=0.036",
+          "None=Lindell, Mr. Edvard Bengtsson<br>PassengerClass=3<br>shap=-0.031",
+          "None=Daniel, Mr. Robert Williams<br>PassengerClass=1<br>shap=0.047",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>PassengerClass=2<br>shap=0.068",
+          "None=Shutes, Miss. Elizabeth W<br>PassengerClass=1<br>shap=0.079",
+          "None=Jardin, Mr. Jose Neto<br>PassengerClass=3<br>shap=-0.025",
+          "None=Horgan, Mr. John<br>PassengerClass=3<br>shap=-0.022",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>PassengerClass=3<br>shap=-0.066",
+          "None=Yasbeck, Mr. Antoni<br>PassengerClass=3<br>shap=-0.024",
+          "None=Bostandyeff, Mr. Guentcho<br>PassengerClass=3<br>shap=-0.025",
+          "None=Lundahl, Mr. Johan Svensson<br>PassengerClass=3<br>shap=-0.027",
+          "None=Stahelin-Maeglin, Dr. Max<br>PassengerClass=1<br>shap=0.041",
+          "None=Willey, Mr. Edward<br>PassengerClass=3<br>shap=-0.025",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>PassengerClass=3<br>shap=-0.059",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>PassengerClass=3<br>shap=-0.050",
+          "None=Eitemiller, Mr. George Floyd<br>PassengerClass=2<br>shap=0.015",
+          "None=Colley, Mr. Edward Pomeroy<br>PassengerClass=1<br>shap=0.031",
+          "None=Coleff, Mr. Peju<br>PassengerClass=3<br>shap=-0.028",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>PassengerClass=2<br>shap=0.082",
+          "None=Davidson, Mr. Thornton<br>PassengerClass=1<br>shap=0.049",
+          "None=Turja, Miss. Anna Sofia<br>PassengerClass=3<br>shap=-0.061",
+          "None=Hassab, Mr. Hammad<br>PassengerClass=1<br>shap=0.039",
+          "None=Goodwin, Mr. Charles Edward<br>PassengerClass=3<br>shap=-0.048",
+          "None=Panula, Mr. Jaako Arnold<br>PassengerClass=3<br>shap=-0.047",
+          "None=Fischer, Mr. Eberhard Thelander<br>PassengerClass=3<br>shap=-0.025",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>PassengerClass=3<br>shap=-0.034",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>PassengerClass=1<br>shap=0.063",
+          "None=Hansen, Mr. Henrik Juul<br>PassengerClass=3<br>shap=-0.026",
+          "None=Calderhead, Mr. Edward Pennington<br>PassengerClass=1<br>shap=0.035",
+          "None=Klaber, Mr. Herman<br>PassengerClass=1<br>shap=0.052",
+          "None=Taylor, Mr. Elmer Zebley<br>PassengerClass=1<br>shap=0.045",
+          "None=Larsson, Mr. August Viktor<br>PassengerClass=3<br>shap=-0.025",
+          "None=Greenberg, Mr. Samuel<br>PassengerClass=2<br>shap=0.016",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>PassengerClass=2<br>shap=0.047",
+          "None=McEvoy, Mr. Michael<br>PassengerClass=3<br>shap=-0.024",
+          "None=Johnson, Mr. Malkolm Joackim<br>PassengerClass=3<br>shap=-0.027",
+          "None=Gillespie, Mr. William Henry<br>PassengerClass=2<br>shap=0.018",
+          "None=Allen, Miss. Elisabeth Walton<br>PassengerClass=1<br>shap=0.079",
+          "None=Berriman, Mr. William John<br>PassengerClass=2<br>shap=0.015",
+          "None=Troupiansky, Mr. Moses Aaron<br>PassengerClass=2<br>shap=0.015",
+          "None=Williams, Mr. Leslie<br>PassengerClass=3<br>shap=-0.027",
+          "None=Ivanoff, Mr. Kanio<br>PassengerClass=3<br>shap=-0.025",
+          "None=McNamee, Mr. Neal<br>PassengerClass=3<br>shap=-0.029",
+          "None=Connaghton, Mr. Michael<br>PassengerClass=3<br>shap=-0.023",
+          "None=Carlsson, Mr. August Sigfrid<br>PassengerClass=3<br>shap=-0.025",
+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>PassengerClass=1<br>shap=0.084",
+          "None=Eklund, Mr. Hans Linus<br>PassengerClass=3<br>shap=-0.025",
+          "None=Hogeboom, Mrs. John C (Anna Andrews)<br>PassengerClass=1<br>shap=0.085",
+          "None=Moran, Mr. Daniel J<br>PassengerClass=3<br>shap=-0.028",
+          "None=Lievens, Mr. Rene Aime<br>PassengerClass=3<br>shap=-0.025",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>PassengerClass=1<br>shap=0.087",
+          "None=Ayoub, Miss. Banoura<br>PassengerClass=3<br>shap=-0.050",
+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>PassengerClass=1<br>shap=0.081",
+          "None=Johnston, Mr. Andrew G<br>PassengerClass=3<br>shap=-0.040",
+          "None=Ali, Mr. William<br>PassengerClass=3<br>shap=-0.025",
+          "None=Sjoblom, Miss. Anna Sofia<br>PassengerClass=3<br>shap=-0.059",
+          "None=Guggenheim, Mr. Benjamin<br>PassengerClass=1<br>shap=0.037",
+          "None=Leader, Dr. Alice (Farnham)<br>PassengerClass=1<br>shap=0.078",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>PassengerClass=2<br>shap=0.077",
+          "None=Carter, Master. William Thornton II<br>PassengerClass=1<br>shap=0.060",
+          "None=Thomas, Master. Assad Alexander<br>PassengerClass=3<br>shap=-0.025",
+          "None=Johansson, Mr. Karl Johan<br>PassengerClass=3<br>shap=-0.025",
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-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Fare=9.35<br>shap=-0.05",
-          "index=Razi, Mr. Raihed<br>Fare=7.2292<br>shap=-0.043",
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+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Fare=71.2833<br>shap=0.061",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Fare=53.1<br>shap=0.044",
+          "None=Palsson, Master. Gosta Leonard<br>Fare=21.075<br>shap=0.003",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Fare=11.1333<br>shap=-0.006",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>Fare=30.0708<br>shap=0.012",
+          "None=Saundercock, Mr. William Henry<br>Fare=8.05<br>shap=-0.035",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>Fare=7.8542<br>shap=-0.026",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Fare=31.3875<br>shap=-0.027",
+          "None=Glynn, Miss. Mary Agatha<br>Fare=7.75<br>shap=-0.026",
+          "None=Meyer, Mr. Edgar Joseph<br>Fare=82.1708<br>shap=0.100",
+          "None=Kraeff, Mr. Theodor<br>Fare=7.8958<br>shap=-0.039",
+          "None=Devaney, Miss. Margaret Delia<br>Fare=7.8792<br>shap=-0.022",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Fare=17.8<br>shap=0.009",
+          "None=Rugg, Miss. Emily<br>Fare=10.5<br>shap=-0.032",
+          "None=Harris, Mr. Henry Birkhardt<br>Fare=83.475<br>shap=0.075",
+          "None=Skoog, Master. Harald<br>Fare=27.9<br>shap=-0.011",
+          "None=Kink, Mr. Vincenz<br>Fare=8.6625<br>shap=-0.026",
+          "None=Hood, Mr. Ambrose Jr<br>Fare=73.5<br>shap=0.086",
+          "None=Ilett, Miss. Bertha<br>Fare=10.5<br>shap=-0.031",
+          "None=Ford, Mr. William Neal<br>Fare=34.375<br>shap=-0.009",
+          "None=Christmann, Mr. Emil<br>Fare=8.05<br>shap=-0.035",
+          "None=Andreasson, Mr. Paul Edvin<br>Fare=7.8542<br>shap=-0.035",
+          "None=Chaffee, Mr. Herbert Fuller<br>Fare=61.175<br>shap=0.050",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Fare=7.8958<br>shap=-0.042",
+          "None=White, Mr. Richard Frasar<br>Fare=77.2875<br>shap=0.062",
+          "None=Rekic, Mr. Tido<br>Fare=7.8958<br>shap=-0.038",
+          "None=Moran, Miss. Bertha<br>Fare=24.15<br>shap=-0.012",
+          "None=Barton, Mr. David John<br>Fare=8.05<br>shap=-0.035",
+          "None=Jussila, Miss. Katriina<br>Fare=9.825<br>shap=-0.028",
+          "None=Pekoniemi, Mr. Edvard<br>Fare=7.925<br>shap=-0.033",
+          "None=Turpin, Mr. William John Robert<br>Fare=21.0<br>shap=0.001",
+          "None=Moore, Mr. Leonard Charles<br>Fare=8.05<br>shap=-0.040",
+          "None=Osen, Mr. Olaf Elon<br>Fare=9.2167<br>shap=-0.035",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Fare=34.375<br>shap=-0.036",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Fare=26.0<br>shap=0.010",
+          "None=Bateman, Rev. Robert James<br>Fare=12.525<br>shap=0.001",
+          "None=Meo, Mr. Alfonzo<br>Fare=8.05<br>shap=-0.032",
+          "None=Cribb, Mr. John Hatfield<br>Fare=16.1<br>shap=0.015",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Fare=55.0<br>shap=0.046",
+          "None=Van der hoef, Mr. Wyckoff<br>Fare=33.5<br>shap=0.000",
+          "None=Sivola, Mr. Antti Wilhelm<br>Fare=7.925<br>shap=-0.033",
+          "None=Klasen, Mr. Klas Albin<br>Fare=7.8542<br>shap=-0.027",
+          "None=Rood, Mr. Hugh Roscoe<br>Fare=50.0<br>shap=0.018",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Fare=7.8542<br>shap=-0.029",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Fare=27.7208<br>shap=-0.007",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Fare=9.5<br>shap=-0.027",
+          "None=Backstrom, Mr. Karl Alfred<br>Fare=15.85<br>shap=0.007",
+          "None=Blank, Mr. Henry<br>Fare=31.0<br>shap=-0.005",
+          "None=Ali, Mr. Ahmed<br>Fare=7.05<br>shap=-0.044",
+          "None=Green, Mr. George Henry<br>Fare=8.05<br>shap=-0.032",
+          "None=Nenkoff, Mr. Christo<br>Fare=7.8958<br>shap=-0.042",
+          "None=Asplund, Miss. Lillian Gertrud<br>Fare=31.3875<br>shap=-0.038",
+          "None=Harknett, Miss. Alice Phoebe<br>Fare=7.55<br>shap=-0.027",
+          "None=Hunt, Mr. George Henry<br>Fare=12.275<br>shap=-0.004",
+          "None=Reed, Mr. James George<br>Fare=7.25<br>shap=-0.041",
+          "None=Stead, Mr. William Thomas<br>Fare=26.55<br>shap=0.027",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Fare=79.2<br>shap=0.081",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Fare=26.0<br>shap=-0.005",
+          "None=Smith, Mr. Thomas<br>Fare=7.75<br>shap=-0.035",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Fare=31.3875<br>shap=-0.015",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Fare=7.75<br>shap=-0.026",
+          "None=Andrews, Miss. Kornelia Theodosia<br>Fare=77.9583<br>shap=0.063",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Fare=20.25<br>shap=0.012",
+          "None=Smith, Mr. Richard William<br>Fare=26.0<br>shap=0.004",
+          "None=Connolly, Miss. Kate<br>Fare=7.75<br>shap=-0.028",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Fare=91.0792<br>shap=0.078",
+          "None=Levy, Mr. Rene Jacques<br>Fare=12.875<br>shap=0.009",
+          "None=Lewy, Mr. Ervin G<br>Fare=27.7208<br>shap=0.012",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Fare=8.05<br>shap=-0.040",
+          "None=Sage, Mr. George John Jr<br>Fare=69.55<br>shap=0.028",
+          "None=Nysveen, Mr. Johan Hansen<br>Fare=6.2375<br>shap=-0.039",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Fare=133.65<br>shap=0.092",
+          "None=Denkoff, Mr. Mitto<br>Fare=7.8958<br>shap=-0.042",
+          "None=Burns, Miss. Elizabeth Margaret<br>Fare=134.5<br>shap=0.081",
+          "None=Dimic, Mr. Jovan<br>Fare=8.6625<br>shap=-0.034",
+          "None=del Carlo, Mr. Sebastiano<br>Fare=27.7208<br>shap=0.008",
+          "None=Beavan, Mr. William Thomas<br>Fare=8.05<br>shap=-0.035",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Fare=82.1708<br>shap=0.085",
+          "None=Widener, Mr. Harry Elkins<br>Fare=211.5<br>shap=0.036",
+          "None=Gustafsson, Mr. Karl Gideon<br>Fare=7.775<br>shap=-0.036",
+          "None=Plotcharsky, Mr. Vasil<br>Fare=7.8958<br>shap=-0.042",
+          "None=Goodwin, Master. Sidney Leonard<br>Fare=46.9<br>shap=-0.022",
+          "None=Sadlier, Mr. Matthew<br>Fare=7.7292<br>shap=-0.035",
+          "None=Gustafsson, Mr. Johan Birger<br>Fare=7.925<br>shap=-0.024",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Fare=16.7<br>shap=0.014",
+          "None=Niskanen, Mr. Juha<br>Fare=7.925<br>shap=-0.024",
+          "None=Minahan, Miss. Daisy E<br>Fare=90.0<br>shap=0.077",
+          "None=Matthews, Mr. William John<br>Fare=13.0<br>shap=-0.001",
+          "None=Charters, Mr. David<br>Fare=7.7333<br>shap=-0.034",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Fare=26.0<br>shap=-0.002",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Fare=26.25<br>shap=-0.010",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Fare=8.1125<br>shap=-0.040",
+          "None=Peuchen, Major. Arthur Godfrey<br>Fare=30.5<br>shap=0.010",
+          "None=Anderson, Mr. Harry<br>Fare=26.55<br>shap=0.030",
+          "None=Milling, Mr. Jacob Christian<br>Fare=13.0<br>shap=0.000",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Fare=27.75<br>shap=-0.000",
+          "None=Karlsson, Mr. Nils August<br>Fare=7.5208<br>shap=-0.035",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Fare=0.0<br>shap=-0.054",
+          "None=Bishop, Mr. Dickinson H<br>Fare=91.0792<br>shap=0.095",
+          "None=Windelov, Mr. Einar<br>Fare=7.25<br>shap=-0.036",
+          "None=Shellard, Mr. Frederick William<br>Fare=15.1<br>shap=0.002",
+          "None=Svensson, Mr. Olof<br>Fare=7.7958<br>shap=-0.036",
+          "None=O'Sullivan, Miss. Bridget Mary<br>Fare=7.6292<br>shap=-0.023",
+          "None=Laitinen, Miss. Kristina Sofia<br>Fare=9.5875<br>shap=-0.028",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>Fare=108.9<br>shap=0.082",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Fare=26.55<br>shap=0.027",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Fare=26.0<br>shap=-0.002",
+          "None=Kassem, Mr. Fared<br>Fare=7.2292<br>shap=-0.040",
+          "None=Cacic, Miss. Marija<br>Fare=8.6625<br>shap=-0.038",
+          "None=Hart, Miss. Eva Miriam<br>Fare=26.25<br>shap=-0.007",
+          "None=Butt, Major. Archibald Willingham<br>Fare=26.55<br>shap=0.018",
+          "None=Beane, Mr. Edward<br>Fare=26.0<br>shap=-0.002",
+          "None=Goldsmith, Mr. Frank John<br>Fare=20.525<br>shap=0.004",
+          "None=Ohman, Miss. Velin<br>Fare=7.775<br>shap=-0.031",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Fare=79.65<br>shap=0.058",
+          "None=Morrow, Mr. Thomas Rowan<br>Fare=7.75<br>shap=-0.035",
+          "None=Harris, Mr. George<br>Fare=10.5<br>shap=-0.023",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Fare=51.4792<br>shap=0.029",
+          "None=Patchett, Mr. George<br>Fare=14.5<br>shap=-0.004",
+          "None=Ross, Mr. John Hugo<br>Fare=40.125<br>shap=0.015",
+          "None=Murdlin, Mr. Joseph<br>Fare=8.05<br>shap=-0.040",
+          "None=Bourke, Miss. Mary<br>Fare=7.75<br>shap=-0.020",
+          "None=Boulos, Mr. Hanna<br>Fare=7.225<br>shap=-0.040",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Fare=56.9292<br>shap=0.065",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>Fare=26.55<br>shap=0.026",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Fare=15.55<br>shap=-0.002",
+          "None=Daniel, Mr. Robert Williams<br>Fare=30.5<br>shap=0.011",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Fare=41.5792<br>shap=-0.001",
+          "None=Shutes, Miss. Elizabeth W<br>Fare=153.4625<br>shap=0.062",
+          "None=Jardin, Mr. Jose Neto<br>Fare=7.05<br>shap=-0.048",
+          "None=Horgan, Mr. John<br>Fare=7.75<br>shap=-0.035",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Fare=16.1<br>shap=0.016",
+          "None=Yasbeck, Mr. Antoni<br>Fare=14.4542<br>shap=-0.005",
+          "None=Bostandyeff, Mr. Guentcho<br>Fare=7.8958<br>shap=-0.037",
+          "None=Lundahl, Mr. Johan Svensson<br>Fare=7.0542<br>shap=-0.044",
+          "None=Stahelin-Maeglin, Dr. Max<br>Fare=30.5<br>shap=0.002",
+          "None=Willey, Mr. Edward<br>Fare=7.55<br>shap=-0.040",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>Fare=7.55<br>shap=-0.027",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>Fare=6.75<br>shap=-0.038",
+          "None=Eitemiller, Mr. George Floyd<br>Fare=13.0<br>shap=-0.001",
+          "None=Colley, Mr. Edward Pomeroy<br>Fare=25.5875<br>shap=0.010",
+          "None=Coleff, Mr. Peju<br>Fare=7.4958<br>shap=-0.037",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Fare=39.0<br>shap=0.001",
+          "None=Davidson, Mr. Thornton<br>Fare=52.0<br>shap=0.027",
+          "None=Turja, Miss. Anna Sofia<br>Fare=9.8417<br>shap=-0.029",
+          "None=Hassab, Mr. Hammad<br>Fare=76.7292<br>shap=0.068",
+          "None=Goodwin, Mr. Charles Edward<br>Fare=46.9<br>shap=-0.019",
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+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Embarked=Embarked_Southampton<br>shap=-0.038",
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+          "None=Harris, Mr. Henry Birkhardt<br>Embarked=Embarked_Southampton<br>shap=-0.014",
+          "None=Skoog, Master. Harald<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Kink, Mr. Vincenz<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Hood, Mr. Ambrose Jr<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Ilett, Miss. Bertha<br>Embarked=Embarked_Southampton<br>shap=-0.025",
+          "None=Ford, Mr. William Neal<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Christmann, Mr. Emil<br>Embarked=Embarked_Southampton<br>shap=-0.012",
+          "None=Andreasson, Mr. Paul Edvin<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Chaffee, Mr. Herbert Fuller<br>Embarked=Embarked_Southampton<br>shap=-0.008",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=White, Mr. Richard Frasar<br>Embarked=Embarked_Southampton<br>shap=-0.008",
+          "None=Rekic, Mr. Tido<br>Embarked=Embarked_Southampton<br>shap=-0.009",
+          "None=Barton, Mr. David John<br>Embarked=Embarked_Southampton<br>shap=-0.013",
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+          "None=Pekoniemi, Mr. Edvard<br>Embarked=Embarked_Southampton<br>shap=-0.014",
+          "None=Turpin, Mr. William John Robert<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Moore, Mr. Leonard Charles<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Osen, Mr. Olaf Elon<br>Embarked=Embarked_Southampton<br>shap=-0.014",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Embarked=Embarked_Southampton<br>shap=-0.038",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Embarked=Embarked_Southampton<br>shap=-0.003",
+          "None=Bateman, Rev. Robert James<br>Embarked=Embarked_Southampton<br>shap=-0.007",
+          "None=Meo, Mr. Alfonzo<br>Embarked=Embarked_Southampton<br>shap=-0.009",
+          "None=Cribb, Mr. John Hatfield<br>Embarked=Embarked_Southampton<br>shap=-0.007",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Embarked=Embarked_Southampton<br>shap=-0.022",
+          "None=Van der hoef, Mr. Wyckoff<br>Embarked=Embarked_Southampton<br>shap=-0.007",
+          "None=Sivola, Mr. Antti Wilhelm<br>Embarked=Embarked_Southampton<br>shap=-0.014",
+          "None=Klasen, Mr. Klas Albin<br>Embarked=Embarked_Southampton<br>shap=-0.012",
+          "None=Rood, Mr. Hugh Roscoe<br>Embarked=Embarked_Southampton<br>shap=-0.002",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Embarked=Embarked_Southampton<br>shap=-0.034",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Embarked=Embarked_Southampton<br>shap=-0.012",
+          "None=Backstrom, Mr. Karl Alfred<br>Embarked=Embarked_Southampton<br>shap=-0.009",
+          "None=Ali, Mr. Ahmed<br>Embarked=Embarked_Southampton<br>shap=-0.011",
+          "None=Green, Mr. George Henry<br>Embarked=Embarked_Southampton<br>shap=-0.009",
+          "None=Nenkoff, Mr. Christo<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Asplund, Miss. Lillian Gertrud<br>Embarked=Embarked_Southampton<br>shap=-0.041",
+          "None=Harknett, Miss. Alice Phoebe<br>Embarked=Embarked_Southampton<br>shap=-0.035",
+          "None=Hunt, Mr. George Henry<br>Embarked=Embarked_Southampton<br>shap=-0.007",
+          "None=Reed, Mr. James George<br>Embarked=Embarked_Southampton<br>shap=-0.012",
+          "None=Stead, Mr. William Thomas<br>Embarked=Embarked_Southampton<br>shap=-0.008",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Embarked=Embarked_Southampton<br>shap=-0.016",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Embarked=Embarked_Southampton<br>shap=-0.012",
+          "None=Andrews, Miss. Kornelia Theodosia<br>Embarked=Embarked_Southampton<br>shap=-0.024",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Embarked=Embarked_Southampton<br>shap=-0.028",
+          "None=Smith, Mr. Richard William<br>Embarked=Embarked_Southampton<br>shap=-0.002",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Sage, Mr. George John Jr<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Nysveen, Mr. Johan Hansen<br>Embarked=Embarked_Southampton<br>shap=-0.009",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Embarked=Embarked_Southampton<br>shap=-0.025",
+          "None=Denkoff, Mr. Mitto<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Dimic, Mr. Jovan<br>Embarked=Embarked_Southampton<br>shap=-0.009",
+          "None=Beavan, Mr. William Thomas<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Gustafsson, Mr. Karl Gideon<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Plotcharsky, Mr. Vasil<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Goodwin, Master. Sidney Leonard<br>Embarked=Embarked_Southampton<br>shap=-0.012",
+          "None=Gustafsson, Mr. Johan Birger<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Embarked=Embarked_Southampton<br>shap=-0.022",
+          "None=Niskanen, Mr. Juha<br>Embarked=Embarked_Southampton<br>shap=-0.009",
+          "None=Matthews, Mr. William John<br>Embarked=Embarked_Southampton<br>shap=-0.009",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Embarked=Embarked_Southampton<br>shap=-0.026",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Embarked=Embarked_Southampton<br>shap=-0.020",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Peuchen, Major. Arthur Godfrey<br>Embarked=Embarked_Southampton<br>shap=-0.007",
+          "None=Anderson, Mr. Harry<br>Embarked=Embarked_Southampton<br>shap=-0.003",
+          "None=Milling, Mr. Jacob Christian<br>Embarked=Embarked_Southampton<br>shap=-0.007",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Embarked=Embarked_Southampton<br>shap=-0.023",
+          "None=Karlsson, Mr. Nils August<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Windelov, Mr. Einar<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Shellard, Mr. Frederick William<br>Embarked=Embarked_Southampton<br>shap=-0.011",
+          "None=Svensson, Mr. Olof<br>Embarked=Embarked_Southampton<br>shap=-0.011",
+          "None=Laitinen, Miss. Kristina Sofia<br>Embarked=Embarked_Southampton<br>shap=-0.028",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Embarked=Embarked_Southampton<br>shap=-0.005",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Embarked=Embarked_Southampton<br>shap=-0.025",
+          "None=Cacic, Miss. Marija<br>Embarked=Embarked_Southampton<br>shap=-0.030",
+          "None=Hart, Miss. Eva Miriam<br>Embarked=Embarked_Southampton<br>shap=-0.025",
+          "None=Butt, Major. Archibald Willingham<br>Embarked=Embarked_Southampton<br>shap=-0.006",
+          "None=Beane, Mr. Edward<br>Embarked=Embarked_Southampton<br>shap=-0.009",
+          "None=Goldsmith, Mr. Frank John<br>Embarked=Embarked_Southampton<br>shap=-0.009",
+          "None=Ohman, Miss. Velin<br>Embarked=Embarked_Southampton<br>shap=-0.033",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Embarked=Embarked_Southampton<br>shap=-0.021",
+          "None=Harris, Mr. George<br>Embarked=Embarked_Southampton<br>shap=-0.008",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Embarked=Embarked_Southampton<br>shap=-0.019",
+          "None=Patchett, Mr. George<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Murdlin, Mr. Joseph<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Embarked=Embarked_Southampton<br>shap=-0.009",
+          "None=Daniel, Mr. Robert Williams<br>Embarked=Embarked_Southampton<br>shap=-0.004",
+          "None=Shutes, Miss. Elizabeth W<br>Embarked=Embarked_Southampton<br>shap=-0.022",
+          "None=Jardin, Mr. Jose Neto<br>Embarked=Embarked_Southampton<br>shap=-0.012",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Embarked=Embarked_Southampton<br>shap=-0.031",
+          "None=Bostandyeff, Mr. Guentcho<br>Embarked=Embarked_Southampton<br>shap=-0.012",
+          "None=Lundahl, Mr. Johan Svensson<br>Embarked=Embarked_Southampton<br>shap=-0.008",
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-          "index=Cribb, Mr. John Hatfield<br>Embarked=Southampton<br>shap=-0.017",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Embarked=Southampton<br>shap=-0.012",
-          "index=Van der hoef, Mr. Wyckoff<br>Embarked=Southampton<br>shap=-0.0",
-          "index=Sivola, Mr. Antti Wilhelm<br>Embarked=Southampton<br>shap=-0.015",
-          "index=Klasen, Mr. Klas Albin<br>Embarked=Southampton<br>shap=-0.019",
-          "index=Rood, Mr. Hugh Roscoe<br>Embarked=Southampton<br>shap=-0.01",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Embarked=Southampton<br>shap=-0.031",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Embarked=Southampton<br>shap=-0.014",
-          "index=Backstrom, Mr. Karl Alfred<br>Embarked=Southampton<br>shap=-0.019",
-          "index=Ali, Mr. Ahmed<br>Embarked=Southampton<br>shap=-0.012",
-          "index=Green, Mr. George Henry<br>Embarked=Southampton<br>shap=-0.012",
-          "index=Nenkoff, Mr. Christo<br>Embarked=Southampton<br>shap=-0.016",
-          "index=Asplund, Miss. Lillian Gertrud<br>Embarked=Southampton<br>shap=-0.031",
-          "index=Harknett, Miss. Alice Phoebe<br>Embarked=Southampton<br>shap=-0.032",
-          "index=Hunt, Mr. George Henry<br>Embarked=Southampton<br>shap=-0.013",
-          "index=Reed, Mr. James George<br>Embarked=Southampton<br>shap=-0.013",
-          "index=Stead, Mr. William Thomas<br>Embarked=Southampton<br>shap=-0.01",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Embarked=Southampton<br>shap=-0.009",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Embarked=Southampton<br>shap=-0.021",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Embarked=Southampton<br>shap=-0.013",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Embarked=Southampton<br>shap=-0.019",
-          "index=Smith, Mr. Richard William<br>Embarked=Southampton<br>shap=-0.006",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Embarked=Southampton<br>shap=-0.015",
-          "index=Sage, Mr. George John Jr<br>Embarked=Southampton<br>shap=-0.02",
-          "index=Nysveen, Mr. Johan Hansen<br>Embarked=Southampton<br>shap=-0.011",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Embarked=Southampton<br>shap=-0.015",
-          "index=Denkoff, Mr. Mitto<br>Embarked=Southampton<br>shap=-0.016",
-          "index=Dimic, Mr. Jovan<br>Embarked=Southampton<br>shap=-0.012",
-          "index=Beavan, Mr. William Thomas<br>Embarked=Southampton<br>shap=-0.014",
-          "index=Gustafsson, Mr. Karl Gideon<br>Embarked=Southampton<br>shap=-0.015",
-          "index=Plotcharsky, Mr. Vasil<br>Embarked=Southampton<br>shap=-0.016",
-          "index=Goodwin, Master. Sidney Leonard<br>Embarked=Southampton<br>shap=-0.021",
-          "index=Gustafsson, Mr. Johan Birger<br>Embarked=Southampton<br>shap=-0.021",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Embarked=Southampton<br>shap=-0.018",
-          "index=Niskanen, Mr. Juha<br>Embarked=Southampton<br>shap=-0.012",
-          "index=Matthews, Mr. William John<br>Embarked=Southampton<br>shap=-0.013",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Embarked=Southampton<br>shap=-0.015",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Embarked=Southampton<br>shap=-0.011",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Embarked=Southampton<br>shap=-0.015",
-          "index=Peuchen, Major. Arthur Godfrey<br>Embarked=Southampton<br>shap=-0.012",
-          "index=Anderson, Mr. Harry<br>Embarked=Southampton<br>shap=-0.008",
-          "index=Milling, Mr. Jacob Christian<br>Embarked=Southampton<br>shap=-0.013",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Embarked=Southampton<br>shap=-0.013",
-          "index=Karlsson, Mr. Nils August<br>Embarked=Southampton<br>shap=-0.014",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Embarked=Southampton<br>shap=-0.011",
-          "index=Windelov, Mr. Einar<br>Embarked=Southampton<br>shap=-0.013",
-          "index=Shellard, Mr. Frederick William<br>Embarked=Southampton<br>shap=-0.014",
-          "index=Svensson, Mr. Olof<br>Embarked=Southampton<br>shap=-0.015",
-          "index=Laitinen, Miss. Kristina Sofia<br>Embarked=Southampton<br>shap=-0.027",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Embarked=Southampton<br>shap=-0.01",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Embarked=Southampton<br>shap=-0.01",
-          "index=Cacic, Miss. Marija<br>Embarked=Southampton<br>shap=-0.03",
-          "index=Hart, Miss. Eva Miriam<br>Embarked=Southampton<br>shap=-0.012",
-          "index=Butt, Major. Archibald Willingham<br>Embarked=Southampton<br>shap=-0.003",
-          "index=Beane, Mr. Edward<br>Embarked=Southampton<br>shap=-0.014",
-          "index=Goldsmith, Mr. Frank John<br>Embarked=Southampton<br>shap=-0.017",
-          "index=Ohman, Miss. Velin<br>Embarked=Southampton<br>shap=-0.033",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Embarked=Southampton<br>shap=-0.013",
-          "index=Harris, Mr. George<br>Embarked=Southampton<br>shap=-0.011",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Embarked=Southampton<br>shap=-0.015",
-          "index=Patchett, Mr. George<br>Embarked=Southampton<br>shap=-0.014",
-          "index=Murdlin, Mr. Joseph<br>Embarked=Southampton<br>shap=-0.015",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Embarked=Southampton<br>shap=-0.019",
-          "index=Daniel, Mr. Robert Williams<br>Embarked=Southampton<br>shap=-0.01",
-          "index=Shutes, Miss. Elizabeth W<br>Embarked=Southampton<br>shap=-0.013",
-          "index=Jardin, Mr. Jose Neto<br>Embarked=Southampton<br>shap=-0.012",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Embarked=Southampton<br>shap=-0.023",
-          "index=Bostandyeff, Mr. Guentcho<br>Embarked=Southampton<br>shap=-0.015",
-          "index=Lundahl, Mr. Johan Svensson<br>Embarked=Southampton<br>shap=-0.011",
-          "index=Willey, Mr. Edward<br>Embarked=Southampton<br>shap=-0.013",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Embarked=Southampton<br>shap=-0.029",
-          "index=Eitemiller, Mr. George Floyd<br>Embarked=Southampton<br>shap=-0.015",
-          "index=Colley, Mr. Edward Pomeroy<br>Embarked=Southampton<br>shap=-0.008",
-          "index=Coleff, Mr. Peju<br>Embarked=Southampton<br>shap=-0.012",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Embarked=Southampton<br>shap=-0.01",
-          "index=Davidson, Mr. Thornton<br>Embarked=Southampton<br>shap=-0.014",
-          "index=Turja, Miss. Anna Sofia<br>Embarked=Southampton<br>shap=-0.035",
-          "index=Goodwin, Mr. Charles Edward<br>Embarked=Southampton<br>shap=-0.023",
-          "index=Panula, Mr. Jaako Arnold<br>Embarked=Southampton<br>shap=-0.021",
-          "index=Fischer, Mr. Eberhard Thelander<br>Embarked=Southampton<br>shap=-0.016",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Embarked=Southampton<br>shap=-0.011",
-          "index=Hansen, Mr. Henrik Juul<br>Embarked=Southampton<br>shap=-0.018",
-          "index=Calderhead, Mr. Edward Pennington<br>Embarked=Southampton<br>shap=-0.008",
-          "index=Klaber, Mr. Herman<br>Embarked=Southampton<br>shap=-0.013",
-          "index=Taylor, Mr. Elmer Zebley<br>Embarked=Southampton<br>shap=-0.017",
-          "index=Larsson, Mr. August Viktor<br>Embarked=Southampton<br>shap=-0.014",
-          "index=Greenberg, Mr. Samuel<br>Embarked=Southampton<br>shap=-0.013",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Embarked=Southampton<br>shap=-0.026",
-          "index=Johnson, Mr. Malkolm Joackim<br>Embarked=Southampton<br>shap=-0.013",
-          "index=Gillespie, Mr. William Henry<br>Embarked=Southampton<br>shap=-0.013",
-          "index=Allen, Miss. Elisabeth Walton<br>Embarked=Southampton<br>shap=-0.012",
-          "index=Berriman, Mr. William John<br>Embarked=Southampton<br>shap=-0.015",
-          "index=Troupiansky, Mr. Moses Aaron<br>Embarked=Southampton<br>shap=-0.015",
-          "index=Williams, Mr. Leslie<br>Embarked=Southampton<br>shap=-0.016",
-          "index=Ivanoff, Mr. Kanio<br>Embarked=Southampton<br>shap=-0.016",
-          "index=McNamee, Mr. Neal<br>Embarked=Southampton<br>shap=-0.021",
-          "index=Carlsson, Mr. August Sigfrid<br>Embarked=Southampton<br>shap=-0.014",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Embarked=Southampton<br>shap=-0.008",
-          "index=Eklund, Mr. Hans Linus<br>Embarked=Southampton<br>shap=-0.016",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Embarked=Southampton<br>shap=-0.013",
-          "index=Lievens, Mr. Rene Aime<br>Embarked=Southampton<br>shap=-0.015",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Embarked=Southampton<br>shap=-0.01",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Embarked=Southampton<br>shap=-0.018",
-          "index=Johnston, Mr. Andrew G<br>Embarked=Southampton<br>shap=-0.018",
-          "index=Ali, Mr. William<br>Embarked=Southampton<br>shap=-0.012",
-          "index=Sjoblom, Miss. Anna Sofia<br>Embarked=Southampton<br>shap=-0.03",
-          "index=Leader, Dr. Alice (Farnham)<br>Embarked=Southampton<br>shap=-0.012",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Embarked=Southampton<br>shap=-0.01",
-          "index=Carter, Master. William Thornton II<br>Embarked=Southampton<br>shap=-0.01",
-          "index=Johansson, Mr. Karl Johan<br>Embarked=Southampton<br>shap=-0.013",
-          "index=Slemen, Mr. Richard James<br>Embarked=Southampton<br>shap=-0.012",
-          "index=Tomlin, Mr. Ernest Portage<br>Embarked=Southampton<br>shap=-0.013",
-          "index=Richards, Master. George Sibley<br>Embarked=Southampton<br>shap=-0.015",
-          "index=Mudd, Mr. Thomas Charles<br>Embarked=Southampton<br>shap=-0.014",
-          "index=Sage, Mr. Douglas Bullen<br>Embarked=Southampton<br>shap=-0.02",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Embarked=Southampton<br>shap=-0.026",
-          "index=Johnson, Master. Harold Theodor<br>Embarked=Southampton<br>shap=-0.016",
-          "index=Carlsson, Mr. Frans Olof<br>Embarked=Southampton<br>shap=-0.005",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Embarked=Southampton<br>shap=-0.015",
-          "index=Montvila, Rev. Juozas<br>Embarked=Southampton<br>shap=-0.014"
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+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>Embarked=Embarked_Cherbourg<br>shap=0.065",
+          "None=Meyer, Mr. Edgar Joseph<br>Embarked=Embarked_Cherbourg<br>shap=0.009",
+          "None=Kraeff, Mr. Theodor<br>Embarked=Embarked_Cherbourg<br>shap=0.031",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Embarked=Embarked_Cherbourg<br>shap=0.024",
+          "None=Blank, Mr. Henry<br>Embarked=Embarked_Cherbourg<br>shap=0.006",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Embarked=Embarked_Cherbourg<br>shap=0.045",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Embarked=Embarked_Cherbourg<br>shap=0.038",
+          "None=Levy, Mr. Rene Jacques<br>Embarked=Embarked_Cherbourg<br>shap=0.017",
+          "None=Lewy, Mr. Ervin G<br>Embarked=Embarked_Cherbourg<br>shap=0.019",
+          "None=Burns, Miss. Elizabeth Margaret<br>Embarked=Embarked_Cherbourg<br>shap=0.041",
+          "None=del Carlo, Mr. Sebastiano<br>Embarked=Embarked_Cherbourg<br>shap=0.024",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Embarked=Embarked_Cherbourg<br>shap=0.050",
+          "None=Widener, Mr. Harry Elkins<br>Embarked=Embarked_Cherbourg<br>shap=0.024",
+          "None=Bishop, Mr. Dickinson H<br>Embarked=Embarked_Cherbourg<br>shap=0.019",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>Embarked=Embarked_Cherbourg<br>shap=0.023",
+          "None=Kassem, Mr. Fared<br>Embarked=Embarked_Cherbourg<br>shap=0.031",
+          "None=Ross, Mr. John Hugo<br>Embarked=Embarked_Cherbourg<br>shap=0.009",
+          "None=Boulos, Mr. Hanna<br>Embarked=Embarked_Cherbourg<br>shap=0.031",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Embarked=Embarked_Cherbourg<br>shap=0.014",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>Embarked=Embarked_Cherbourg<br>shap=0.014",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Embarked=Embarked_Cherbourg<br>shap=0.061",
+          "None=Yasbeck, Mr. Antoni<br>Embarked=Embarked_Cherbourg<br>shap=0.033",
+          "None=Stahelin-Maeglin, Dr. Max<br>Embarked=Embarked_Cherbourg<br>shap=0.015",
+          "None=Hassab, Mr. Hammad<br>Embarked=Embarked_Cherbourg<br>shap=0.026",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Embarked=Embarked_Cherbourg<br>shap=0.043",
+          "None=Ayoub, Miss. Banoura<br>Embarked=Embarked_Cherbourg<br>shap=0.051",
+          "None=Guggenheim, Mr. Benjamin<br>Embarked=Embarked_Cherbourg<br>shap=0.026",
+          "None=Thomas, Master. Assad Alexander<br>Embarked=Embarked_Cherbourg<br>shap=0.035",
+          "None=Lemberopolous, Mr. Peter L<br>Embarked=Embarked_Cherbourg<br>shap=0.025",
+          "None=Boulos, Miss. Nourelain<br>Embarked=Embarked_Cherbourg<br>shap=0.059",
+          "None=Razi, Mr. Raihed<br>Embarked=Embarked_Cherbourg<br>shap=0.031"
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-          "index=Osen, Mr. Olaf Elon<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>No_of_relatives_on_board=4<br>shap=-0.084",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>No_of_relatives_on_board=2<br>shap=0.037",
-          "index=Bateman, Rev. Robert James<br>No_of_relatives_on_board=0<br>shap=-0.005",
-          "index=Meo, Mr. Alfonzo<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Cribb, Mr. John Hatfield<br>No_of_relatives_on_board=1<br>shap=0.021",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>No_of_relatives_on_board=1<br>shap=0.036",
-          "index=Van der hoef, Mr. Wyckoff<br>No_of_relatives_on_board=0<br>shap=-0.014",
-          "index=Sivola, Mr. Antti Wilhelm<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Klasen, Mr. Klas Albin<br>No_of_relatives_on_board=2<br>shap=0.031",
-          "index=Rood, Mr. Hugh Roscoe<br>No_of_relatives_on_board=0<br>shap=-0.014",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>No_of_relatives_on_board=1<br>shap=0.028",
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-          "index=Vande Walle, Mr. Nestor Cyriel<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Backstrom, Mr. Karl Alfred<br>No_of_relatives_on_board=1<br>shap=0.019",
-          "index=Blank, Mr. Henry<br>No_of_relatives_on_board=0<br>shap=-0.016",
-          "index=Ali, Mr. Ahmed<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Green, Mr. George Henry<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Nenkoff, Mr. Christo<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Asplund, Miss. Lillian Gertrud<br>No_of_relatives_on_board=6<br>shap=-0.099",
-          "index=Harknett, Miss. Alice Phoebe<br>No_of_relatives_on_board=0<br>shap=0.003",
-          "index=Hunt, Mr. George Henry<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Reed, Mr. James George<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Stead, Mr. William Thomas<br>No_of_relatives_on_board=0<br>shap=-0.008",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>No_of_relatives_on_board=0<br>shap=0.003",
-          "index=Parrish, Mrs. (Lutie Davis)<br>No_of_relatives_on_board=1<br>shap=0.041",
-          "index=Smith, Mr. Thomas<br>No_of_relatives_on_board=0<br>shap=-0.007",
-          "index=Asplund, Master. Edvin Rojj Felix<br>No_of_relatives_on_board=6<br>shap=-0.04",
-          "index=Healy, Miss. Hanora \"Nora\"<br>No_of_relatives_on_board=0<br>shap=0.006",
-          "index=Andrews, Miss. Kornelia Theodosia<br>No_of_relatives_on_board=1<br>shap=0.029",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_relatives_on_board=2<br>shap=0.036",
-          "index=Smith, Mr. Richard William<br>No_of_relatives_on_board=0<br>shap=-0.012",
-          "index=Connolly, Miss. Kate<br>No_of_relatives_on_board=0<br>shap=0.003",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_relatives_on_board=1<br>shap=0.024",
-          "index=Levy, Mr. Rene Jacques<br>No_of_relatives_on_board=0<br>shap=-0.019",
-          "index=Lewy, Mr. Ervin G<br>No_of_relatives_on_board=0<br>shap=-0.007",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Sage, Mr. George John Jr<br>No_of_relatives_on_board=10<br>shap=-0.053",
-          "index=Nysveen, Mr. Johan Hansen<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_relatives_on_board=1<br>shap=0.035",
-          "index=Denkoff, Mr. Mitto<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Burns, Miss. Elizabeth Margaret<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Dimic, Mr. Jovan<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=del Carlo, Mr. Sebastiano<br>No_of_relatives_on_board=1<br>shap=0.024",
-          "index=Beavan, Mr. William Thomas<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_relatives_on_board=1<br>shap=0.025",
-          "index=Widener, Mr. Harry Elkins<br>No_of_relatives_on_board=2<br>shap=0.025",
-          "index=Gustafsson, Mr. Karl Gideon<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Plotcharsky, Mr. Vasil<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Goodwin, Master. Sidney Leonard<br>No_of_relatives_on_board=7<br>shap=-0.043",
-          "index=Sadlier, Mr. Matthew<br>No_of_relatives_on_board=0<br>shap=-0.007",
-          "index=Gustafsson, Mr. Johan Birger<br>No_of_relatives_on_board=2<br>shap=0.026",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_relatives_on_board=2<br>shap=0.031",
-          "index=Niskanen, Mr. Juha<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Minahan, Miss. Daisy E<br>No_of_relatives_on_board=1<br>shap=0.019",
-          "index=Matthews, Mr. William John<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Charters, Mr. David<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_relatives_on_board=0<br>shap=0.001",
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-          "index=Johannesen-Bratthammer, Mr. Bernt<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Peuchen, Major. Arthur Godfrey<br>No_of_relatives_on_board=0<br>shap=-0.01",
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-          "index=Milling, Mr. Jacob Christian<br>No_of_relatives_on_board=0<br>shap=-0.006",
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-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_relatives_on_board=0<br>shap=-0.009",
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-          "index=Shellard, Mr. Frederick William<br>No_of_relatives_on_board=0<br>shap=-0.004",
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-          "index=Penasco y Castellana, Mr. Victor de Satode<br>No_of_relatives_on_board=1<br>shap=0.026",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_relatives_on_board=0<br>shap=-0.007",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_relatives_on_board=1<br>shap=0.04",
-          "index=Kassem, Mr. Fared<br>No_of_relatives_on_board=0<br>shap=-0.01",
-          "index=Cacic, Miss. Marija<br>No_of_relatives_on_board=0<br>shap=0.004",
-          "index=Hart, Miss. Eva Miriam<br>No_of_relatives_on_board=2<br>shap=0.041",
-          "index=Butt, Major. Archibald Willingham<br>No_of_relatives_on_board=0<br>shap=-0.013",
-          "index=Beane, Mr. Edward<br>No_of_relatives_on_board=1<br>shap=0.02",
-          "index=Goldsmith, Mr. Frank John<br>No_of_relatives_on_board=2<br>shap=0.027",
-          "index=Ohman, Miss. Velin<br>No_of_relatives_on_board=0<br>shap=0.003",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_relatives_on_board=2<br>shap=0.025",
-          "index=Morrow, Mr. Thomas Rowan<br>No_of_relatives_on_board=0<br>shap=-0.007",
-          "index=Harris, Mr. George<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_relatives_on_board=2<br>shap=0.042",
-          "index=Patchett, Mr. George<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Ross, Mr. John Hugo<br>No_of_relatives_on_board=0<br>shap=-0.014",
-          "index=Murdlin, Mr. Joseph<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Bourke, Miss. Mary<br>No_of_relatives_on_board=2<br>shap=0.029",
-          "index=Boulos, Mr. Hanna<br>No_of_relatives_on_board=0<br>shap=-0.011",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_relatives_on_board=1<br>shap=0.032",
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-          "index=Windelov, Mr. Einar<br>Age=21.0<br>shap=-0.001",
-          "index=Shellard, Mr. Frederick William<br>Age=nan<br>shap=0.015",
-          "index=Svensson, Mr. Olof<br>Age=24.0<br>shap=0.002",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>shap=0.01",
-          "index=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>shap=-0.008",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>shap=0.024",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=nan<br>shap=0.016",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=36.0<br>shap=0.002",
-          "index=Kassem, Mr. Fared<br>Age=nan<br>shap=0.01",
-          "index=Cacic, Miss. Marija<br>Age=30.0<br>shap=0.008",
-          "index=Hart, Miss. Eva Miriam<br>Age=7.0<br>shap=0.016",
-          "index=Butt, Major. Archibald Willingham<br>Age=45.0<br>shap=-0.019",
-          "index=Beane, Mr. Edward<br>Age=32.0<br>shap=0.0",
-          "index=Goldsmith, Mr. Frank John<br>Age=33.0<br>shap=-0.022",
-          "index=Ohman, Miss. Velin<br>Age=22.0<br>shap=-0.004",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>shap=-0.005",
-          "index=Morrow, Mr. Thomas Rowan<br>Age=nan<br>shap=0.01",
-          "index=Harris, Mr. George<br>Age=62.0<br>shap=-0.015",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>shap=-0.026",
-          "index=Patchett, Mr. George<br>Age=19.0<br>shap=-0.003",
-          "index=Ross, Mr. John Hugo<br>Age=36.0<br>shap=-0.004",
-          "index=Murdlin, Mr. Joseph<br>Age=nan<br>shap=0.01",
-          "index=Bourke, Miss. Mary<br>Age=nan<br>shap=0.013",
-          "index=Boulos, Mr. Hanna<br>Age=nan<br>shap=0.009",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Age=49.0<br>shap=-0.026",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=35.0<br>shap=-0.012",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>shap=-0.015",
-          "index=Daniel, Mr. Robert Williams<br>Age=27.0<br>shap=0.001",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>shap=0.001",
-          "index=Shutes, Miss. Elizabeth W<br>Age=40.0<br>shap=-0.01",
-          "index=Jardin, Mr. Jose Neto<br>Age=nan<br>shap=0.009",
-          "index=Horgan, Mr. John<br>Age=nan<br>shap=0.01",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>shap=0.001",
-          "index=Yasbeck, Mr. Antoni<br>Age=27.0<br>shap=0.001",
-          "index=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>shap=0.004",
-          "index=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>shap=-0.022",
-          "index=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>shap=0.008",
-          "index=Willey, Mr. Edward<br>Age=nan<br>shap=0.009",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>shap=-0.003",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Age=18.0<br>shap=-0.0",
-          "index=Eitemiller, Mr. George Floyd<br>Age=23.0<br>shap=-0.006",
-          "index=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>shap=-0.043",
-          "index=Coleff, Mr. Peju<br>Age=36.0<br>shap=-0.013",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>shap=-0.012",
-          "index=Davidson, Mr. Thornton<br>Age=31.0<br>shap=0.009",
-          "index=Turja, Miss. Anna Sofia<br>Age=18.0<br>shap=0.0",
-          "index=Hassab, Mr. Hammad<br>Age=27.0<br>shap=0.011",
-          "index=Goodwin, Mr. Charles Edward<br>Age=14.0<br>shap=0.002",
-          "index=Panula, Mr. Jaako Arnold<br>Age=14.0<br>shap=0.007",
-          "index=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>shap=0.002",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>shap=-0.028",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>shap=0.01",
-          "index=Hansen, Mr. Henrik Juul<br>Age=26.0<br>shap=-0.001",
-          "index=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>shap=-0.03",
-          "index=Klaber, Mr. Herman<br>Age=nan<br>shap=0.029",
-          "index=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>shap=-0.028",
-          "index=Larsson, Mr. August Viktor<br>Age=29.0<br>shap=0.005",
-          "index=Greenberg, Mr. Samuel<br>Age=52.0<br>shap=-0.025",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Age=27.0<br>shap=0.019",
-          "index=McEvoy, Mr. Michael<br>Age=nan<br>shap=0.014",
-          "index=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>shap=-0.01",
-          "index=Gillespie, Mr. William Henry<br>Age=34.0<br>shap=-0.009",
-          "index=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>shap=0.014",
-          "index=Berriman, Mr. William John<br>Age=23.0<br>shap=-0.006",
-          "index=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>shap=-0.006",
-          "index=Williams, Mr. Leslie<br>Age=28.5<br>shap=0.002",
-          "index=Ivanoff, Mr. Kanio<br>Age=nan<br>shap=0.01",
-          "index=McNamee, Mr. Neal<br>Age=24.0<br>shap=-0.005",
-          "index=Connaghton, Mr. Michael<br>Age=31.0<br>shap=0.003",
-          "index=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>shap=0.007",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>shap=0.012",
-          "index=Eklund, Mr. Hans Linus<br>Age=16.0<br>shap=0.006",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>shap=-0.023",
-          "index=Moran, Mr. Daniel J<br>Age=nan<br>shap=0.021",
-          "index=Lievens, Mr. Rene Aime<br>Age=24.0<br>shap=0.0",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>shap=-0.007",
-          "index=Ayoub, Miss. Banoura<br>Age=13.0<br>shap=0.008",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>shap=0.006",
-          "index=Johnston, Mr. Andrew G<br>Age=nan<br>shap=0.041",
-          "index=Ali, Mr. William<br>Age=25.0<br>shap=0.002",
-          "index=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>shap=0.001",
-          "index=Guggenheim, Mr. Benjamin<br>Age=46.0<br>shap=-0.015",
-          "index=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>shap=-0.019",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>shap=0.004",
-          "index=Carter, Master. William Thornton II<br>Age=11.0<br>shap=0.037",
-          "index=Thomas, Master. Assad Alexander<br>Age=0.42<br>shap=0.038",
-          "index=Johansson, Mr. Karl Johan<br>Age=31.0<br>shap=0.009",
-          "index=Slemen, Mr. Richard James<br>Age=35.0<br>shap=-0.011",
-          "index=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>shap=0.006",
-          "index=McCormack, Mr. Thomas Joseph<br>Age=nan<br>shap=0.01",
-          "index=Richards, Master. George Sibley<br>Age=0.83<br>shap=0.059",
-          "index=Mudd, Mr. Thomas Charles<br>Age=16.0<br>shap=0.003",
-          "index=Lemberopolous, Mr. Peter L<br>Age=34.5<br>shap=-0.018",
-          "index=Sage, Mr. Douglas Bullen<br>Age=nan<br>shap=0.014",
-          "index=Boulos, Miss. Nourelain<br>Age=9.0<br>shap=0.012",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>shap=0.001",
-          "index=Razi, Mr. Raihed<br>Age=nan<br>shap=0.01",
-          "index=Johnson, Master. Harold Theodor<br>Age=4.0<br>shap=0.047",
-          "index=Carlsson, Mr. Frans Olof<br>Age=33.0<br>shap=0.002",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>shap=-0.003",
-          "index=Montvila, Rev. Juozas<br>Age=27.0<br>shap=0.001"
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-         "type": "scatter",
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+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=38.0<br>shap=-0.015",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=35.0<br>shap=0.001",
+          "None=Palsson, Master. Gosta Leonard<br>Age=2.0<br>shap=0.035",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=27.0<br>shap=-0.005",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>shap=0.019",
+          "None=Saundercock, Mr. William Henry<br>Age=20.0<br>shap=0.005",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=14.0<br>shap=0.012",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=38.0<br>shap=-0.029",
+          "None=Glynn, Miss. Mary Agatha<br>Age=nan<br>shap=0.018",
+          "None=Meyer, Mr. Edgar Joseph<br>Age=28.0<br>shap=-0.001",
+          "None=Kraeff, Mr. Theodor<br>Age=nan<br>shap=0.009",
+          "None=Devaney, Miss. Margaret Delia<br>Age=19.0<br>shap=0.004",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=18.0<br>shap=0.000",
+          "None=Rugg, Miss. Emily<br>Age=21.0<br>shap=0.002",
+          "None=Harris, Mr. Henry Birkhardt<br>Age=45.0<br>shap=-0.030",
+          "None=Skoog, Master. Harald<br>Age=4.0<br>shap=0.029",
+          "None=Kink, Mr. Vincenz<br>Age=26.0<br>shap=0.003",
+          "None=Hood, Mr. Ambrose Jr<br>Age=21.0<br>shap=0.006",
+          "None=Ilett, Miss. Bertha<br>Age=17.0<br>shap=0.005",
+          "None=Ford, Mr. William Neal<br>Age=16.0<br>shap=0.003",
+          "None=Christmann, Mr. Emil<br>Age=29.0<br>shap=0.005",
+          "None=Andreasson, Mr. Paul Edvin<br>Age=20.0<br>shap=0.005",
+          "None=Chaffee, Mr. Herbert Fuller<br>Age=46.0<br>shap=-0.037",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=nan<br>shap=0.008",
+          "None=White, Mr. Richard Frasar<br>Age=21.0<br>shap=0.030",
+          "None=Rekic, Mr. Tido<br>Age=38.0<br>shap=-0.019",
+          "None=Moran, Miss. Bertha<br>Age=nan<br>shap=0.017",
+          "None=Barton, Mr. David John<br>Age=22.0<br>shap=0.006",
+          "None=Jussila, Miss. Katriina<br>Age=20.0<br>shap=-0.002",
+          "None=Pekoniemi, Mr. Edvard<br>Age=21.0<br>shap=0.004",
+          "None=Turpin, Mr. William John Robert<br>Age=29.0<br>shap=0.003",
+          "None=Moore, Mr. Leonard Charles<br>Age=nan<br>shap=0.007",
+          "None=Osen, Mr. Olaf Elon<br>Age=16.0<br>shap=0.007",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=9.0<br>shap=0.020",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=36.5<br>shap=-0.010",
+          "None=Bateman, Rev. Robert James<br>Age=51.0<br>shap=-0.019",
+          "None=Meo, Mr. Alfonzo<br>Age=55.5<br>shap=-0.031",
+          "None=Cribb, Mr. John Hatfield<br>Age=44.0<br>shap=-0.039",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=nan<br>shap=0.010",
+          "None=Van der hoef, Mr. Wyckoff<br>Age=61.0<br>shap=-0.064",
+          "None=Sivola, Mr. Antti Wilhelm<br>Age=21.0<br>shap=0.004",
+          "None=Klasen, Mr. Klas Albin<br>Age=18.0<br>shap=-0.001",
+          "None=Rood, Mr. Hugh Roscoe<br>Age=nan<br>shap=0.015",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=19.0<br>shap=0.001",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>shap=-0.031",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>shap=0.004",
+          "None=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>shap=0.007",
+          "None=Blank, Mr. Henry<br>Age=40.0<br>shap=-0.029",
+          "None=Ali, Mr. Ahmed<br>Age=24.0<br>shap=0.005",
+          "None=Green, Mr. George Henry<br>Age=51.0<br>shap=-0.021",
+          "None=Nenkoff, Mr. Christo<br>Age=nan<br>shap=0.008",
+          "None=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>shap=0.009",
+          "None=Harknett, Miss. Alice Phoebe<br>Age=nan<br>shap=0.007",
+          "None=Hunt, Mr. George Henry<br>Age=33.0<br>shap=-0.004",
+          "None=Reed, Mr. James George<br>Age=nan<br>shap=0.008",
+          "None=Stead, Mr. William Thomas<br>Age=62.0<br>shap=-0.055",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Age=nan<br>shap=0.007",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>shap=-0.017",
+          "None=Smith, Mr. Thomas<br>Age=nan<br>shap=0.012",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>shap=0.033",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Age=nan<br>shap=0.018",
+          "None=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>shap=-0.046",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>shap=-0.018",
+          "None=Smith, Mr. Richard William<br>Age=nan<br>shap=0.013",
+          "None=Connolly, Miss. Kate<br>Age=22.0<br>shap=0.003",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>shap=0.011",
+          "None=Levy, Mr. Rene Jacques<br>Age=36.0<br>shap=-0.000",
+          "None=Lewy, Mr. Ervin G<br>Age=nan<br>shap=0.017",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Age=nan<br>shap=0.007",
+          "None=Sage, Mr. George John Jr<br>Age=nan<br>shap=0.023",
+          "None=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>shap=-0.033",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=nan<br>shap=0.008",
+          "None=Denkoff, Mr. Mitto<br>Age=nan<br>shap=0.008",
+          "None=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>shap=-0.012",
+          "None=Dimic, Mr. Jovan<br>Age=42.0<br>shap=-0.020",
+          "None=del Carlo, Mr. Sebastiano<br>Age=29.0<br>shap=0.002",
+          "None=Beavan, Mr. William Thomas<br>Age=19.0<br>shap=0.005",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=nan<br>shap=0.007",
+          "None=Widener, Mr. Harry Elkins<br>Age=27.0<br>shap=0.010",
+          "None=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>shap=0.006",
+          "None=Plotcharsky, Mr. Vasil<br>Age=nan<br>shap=0.008",
+          "None=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>shap=0.032",
+          "None=Sadlier, Mr. Matthew<br>Age=nan<br>shap=0.012",
+          "None=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>shap=0.002",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>shap=0.014",
+          "None=Niskanen, Mr. Juha<br>Age=39.0<br>shap=-0.013",
+          "None=Minahan, Miss. Daisy E<br>Age=33.0<br>shap=-0.005",
+          "None=Matthews, Mr. William John<br>Age=30.0<br>shap=0.001",
+          "None=Charters, Mr. David<br>Age=21.0<br>shap=0.007",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=19.0<br>shap=0.005",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>shap=-0.029",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>shap=0.007",
+          "None=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>shap=-0.044",
+          "None=Anderson, Mr. Harry<br>Age=48.0<br>shap=-0.029",
+          "None=Milling, Mr. Jacob Christian<br>Age=48.0<br>shap=-0.019",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>shap=-0.007",
+          "None=Karlsson, Mr. Nils August<br>Age=22.0<br>shap=0.007",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Age=nan<br>shap=0.008",
+          "None=Bishop, Mr. Dickinson H<br>Age=25.0<br>shap=0.021",
+          "None=Windelov, Mr. Einar<br>Age=21.0<br>shap=0.006",
+          "None=Shellard, Mr. Frederick William<br>Age=nan<br>shap=0.015",
+          "None=Svensson, Mr. Olof<br>Age=24.0<br>shap=0.005",
+          "None=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>shap=0.018",
+          "None=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>shap=-0.014",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>shap=0.031",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=nan<br>shap=0.017",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=36.0<br>shap=-0.003",
+          "None=Kassem, Mr. Fared<br>Age=nan<br>shap=0.009",
+          "None=Cacic, Miss. Marija<br>Age=30.0<br>shap=0.001",
+          "None=Hart, Miss. Eva Miriam<br>Age=7.0<br>shap=0.025",
+          "None=Butt, Major. Archibald Willingham<br>Age=45.0<br>shap=-0.035",
+          "None=Beane, Mr. Edward<br>Age=32.0<br>shap=0.007",
+          "None=Goldsmith, Mr. Frank John<br>Age=33.0<br>shap=-0.019",
+          "None=Ohman, Miss. Velin<br>Age=22.0<br>shap=0.004",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>shap=-0.015",
+          "None=Morrow, Mr. Thomas Rowan<br>Age=nan<br>shap=0.012",
+          "None=Harris, Mr. George<br>Age=62.0<br>shap=-0.037",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>shap=-0.022",
+          "None=Patchett, Mr. George<br>Age=19.0<br>shap=0.003",
+          "None=Ross, Mr. John Hugo<br>Age=36.0<br>shap=0.010",
+          "None=Murdlin, Mr. Joseph<br>Age=nan<br>shap=0.007",
+          "None=Bourke, Miss. Mary<br>Age=nan<br>shap=0.022",
+          "None=Boulos, Mr. Hanna<br>Age=nan<br>shap=0.009",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Age=49.0<br>shap=-0.028",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=35.0<br>shap=-0.007",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>shap=-0.011",
+          "None=Daniel, Mr. Robert Williams<br>Age=27.0<br>shap=0.005",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>shap=0.011",
+          "None=Shutes, Miss. Elizabeth W<br>Age=40.0<br>shap=-0.016",
+          "None=Jardin, Mr. Jose Neto<br>Age=nan<br>shap=0.008",
+          "None=Horgan, Mr. John<br>Age=nan<br>shap=0.012",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>shap=-0.002",
+          "None=Yasbeck, Mr. Antoni<br>Age=27.0<br>shap=0.003",
+          "None=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>shap=0.005",
+          "None=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>shap=-0.024",
+          "None=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>shap=0.030",
+          "None=Willey, Mr. Edward<br>Age=nan<br>shap=0.008",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>shap=0.004",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>Age=18.0<br>shap=0.004",
+          "None=Eitemiller, Mr. George Floyd<br>Age=23.0<br>shap=0.004",
+          "None=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>shap=-0.035",
+          "None=Coleff, Mr. Peju<br>Age=36.0<br>shap=-0.012",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>shap=-0.021",
+          "None=Davidson, Mr. Thornton<br>Age=31.0<br>shap=0.037",
+          "None=Turja, Miss. Anna Sofia<br>Age=18.0<br>shap=0.001",
+          "None=Hassab, Mr. Hammad<br>Age=27.0<br>shap=0.013",
+          "None=Goodwin, Mr. Charles Edward<br>Age=14.0<br>shap=0.005",
+          "None=Panula, Mr. Jaako Arnold<br>Age=14.0<br>shap=0.005",
+          "None=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>shap=0.006",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>shap=-0.036",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>shap=0.013",
+          "None=Hansen, Mr. Henrik Juul<br>Age=26.0<br>shap=0.003",
+          "None=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>shap=-0.026",
+          "None=Klaber, Mr. Herman<br>Age=nan<br>shap=0.025",
+          "None=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>shap=-0.036",
+          "None=Larsson, Mr. August Viktor<br>Age=29.0<br>shap=0.005",
+          "None=Greenberg, Mr. Samuel<br>Age=52.0<br>shap=-0.031",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>Age=27.0<br>shap=0.014",
+          "None=McEvoy, Mr. Michael<br>Age=nan<br>shap=0.014",
+          "None=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>shap=-0.007",
+          "None=Gillespie, Mr. William Henry<br>Age=34.0<br>shap=-0.005",
+          "None=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>shap=0.012",
+          "None=Berriman, Mr. William John<br>Age=23.0<br>shap=0.004",
+          "None=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>shap=0.004",
+          "None=Williams, Mr. Leslie<br>Age=28.5<br>shap=0.001",
+          "None=Ivanoff, Mr. Kanio<br>Age=nan<br>shap=0.008",
+          "None=McNamee, Mr. Neal<br>Age=24.0<br>shap=-0.001",
+          "None=Connaghton, Mr. Michael<br>Age=31.0<br>shap=-0.001",
+          "None=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>shap=0.005",
+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>shap=0.008",
+          "None=Eklund, Mr. Hans Linus<br>Age=16.0<br>shap=0.008",
+          "None=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>shap=-0.015",
+          "None=Moran, Mr. Daniel J<br>Age=nan<br>shap=0.012",
+          "None=Lievens, Mr. Rene Aime<br>Age=24.0<br>shap=0.005",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>shap=-0.015",
+          "None=Ayoub, Miss. Banoura<br>Age=13.0<br>shap=0.015",
+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>shap=0.012",
+          "None=Johnston, Mr. Andrew G<br>Age=nan<br>shap=0.034",
+          "None=Ali, Mr. William<br>Age=25.0<br>shap=0.003",
+          "None=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>shap=0.002",
+          "None=Guggenheim, Mr. Benjamin<br>Age=46.0<br>shap=-0.025",
+          "None=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>shap=-0.017",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>shap=0.002",
+          "None=Carter, Master. William Thornton II<br>Age=11.0<br>shap=0.040",
+          "None=Thomas, Master. Assad Alexander<br>Age=0.42<br>shap=0.032",
+          "None=Johansson, Mr. Karl Johan<br>Age=31.0<br>shap=0.007",
+          "None=Slemen, Mr. Richard James<br>Age=35.0<br>shap=-0.006",
+          "None=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>shap=0.004",
+          "None=McCormack, Mr. Thomas Joseph<br>Age=nan<br>shap=0.012",
+          "None=Richards, Master. George Sibley<br>Age=0.83<br>shap=0.042",
+          "None=Mudd, Mr. Thomas Charles<br>Age=16.0<br>shap=0.007",
+          "None=Lemberopolous, Mr. Peter L<br>Age=34.5<br>shap=-0.019",
+          "None=Sage, Mr. Douglas Bullen<br>Age=nan<br>shap=0.023",
+          "None=Boulos, Miss. Nourelain<br>Age=9.0<br>shap=0.027",
+          "None=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>shap=0.003",
+          "None=Razi, Mr. Raihed<br>Age=nan<br>shap=0.009",
+          "None=Johnson, Master. Harold Theodor<br>Age=4.0<br>shap=0.033",
+          "None=Carlsson, Mr. Frans Olof<br>Age=33.0<br>shap=0.023",
+          "None=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>shap=0.004",
+          "None=Montvila, Rev. Juozas<br>Age=27.0<br>shap=0.002"
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-          "index=Smith, Mr. Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Asplund, Master. Edvin Rojj Felix<br>No_of_parents_plus_children_on_board=2<br>shap=0.036",
-          "index=Healy, Miss. Hanora \"Nora\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Andrews, Miss. Kornelia Theodosia<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_parents_plus_children_on_board=1<br>shap=0.016",
-          "index=Smith, Mr. Richard William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Connolly, Miss. Kate<br>No_of_parents_plus_children_on_board=0<br>shap=0.002",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
-          "index=Levy, Mr. Rene Jacques<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
-          "index=Lewy, Mr. Ervin G<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
-          "index=Sage, Mr. George John Jr<br>No_of_parents_plus_children_on_board=2<br>shap=0.017",
-          "index=Nysveen, Mr. Johan Hansen<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Denkoff, Mr. Mitto<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
-          "index=Burns, Miss. Elizabeth Margaret<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Dimic, Mr. Jovan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=del Carlo, Mr. Sebastiano<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
-          "index=Beavan, Mr. William Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Widener, Mr. Harry Elkins<br>No_of_parents_plus_children_on_board=2<br>shap=0.022",
-          "index=Gustafsson, Mr. Karl Gideon<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Plotcharsky, Mr. Vasil<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
-          "index=Goodwin, Master. Sidney Leonard<br>No_of_parents_plus_children_on_board=2<br>shap=0.034",
-          "index=Sadlier, Mr. Matthew<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Gustafsson, Mr. Johan Birger<br>No_of_parents_plus_children_on_board=0<br>shap=-0.008",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_parents_plus_children_on_board=2<br>shap=0.023",
-          "index=Niskanen, Mr. Juha<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Minahan, Miss. Daisy E<br>No_of_parents_plus_children_on_board=0<br>shap=0.006",
-          "index=Matthews, Mr. William John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Charters, Mr. David<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_parents_plus_children_on_board=1<br>shap=0.012",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
-          "index=Peuchen, Major. Arthur Godfrey<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
-          "index=Anderson, Mr. Harry<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
-          "index=Milling, Mr. Jacob Christian<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_parents_plus_children_on_board=2<br>shap=0.011",
-          "index=Karlsson, Mr. Nils August<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_parents_plus_children_on_board=0<br>shap=-0.013",
-          "index=Bishop, Mr. Dickinson H<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Windelov, Mr. Einar<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Shellard, Mr. Frederick William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
-          "index=Svensson, Mr. Olof<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=O'Sullivan, Miss. Bridget Mary<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Laitinen, Miss. Kristina Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=0.002",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
-          "index=Kassem, Mr. Fared<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Cacic, Miss. Marija<br>No_of_parents_plus_children_on_board=0<br>shap=0.0",
-          "index=Hart, Miss. Eva Miriam<br>No_of_parents_plus_children_on_board=2<br>shap=0.027",
-          "index=Butt, Major. Archibald Willingham<br>No_of_parents_plus_children_on_board=0<br>shap=0.0",
-          "index=Beane, Mr. Edward<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Goldsmith, Mr. Frank John<br>No_of_parents_plus_children_on_board=1<br>shap=0.029",
-          "index=Ohman, Miss. Velin<br>No_of_parents_plus_children_on_board=0<br>shap=0.0",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_parents_plus_children_on_board=1<br>shap=0.01",
-          "index=Morrow, Mr. Thomas Rowan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Harris, Mr. George<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_parents_plus_children_on_board=0<br>shap=0.006",
-          "index=Patchett, Mr. George<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Ross, Mr. John Hugo<br>No_of_parents_plus_children_on_board=0<br>shap=0.0",
-          "index=Murdlin, Mr. Joseph<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
-          "index=Bourke, Miss. Mary<br>No_of_parents_plus_children_on_board=2<br>shap=0.018",
-          "index=Boulos, Mr. Hanna<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_parents_plus_children_on_board=0<br>shap=0.004",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Lindell, Mr. Edvard Bengtsson<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
-          "index=Daniel, Mr. Robert Williams<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_parents_plus_children_on_board=2<br>shap=0.02",
-          "index=Shutes, Miss. Elizabeth W<br>No_of_parents_plus_children_on_board=0<br>shap=0.004",
-          "index=Jardin, Mr. Jose Neto<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
-          "index=Horgan, Mr. John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_parents_plus_children_on_board=0<br>shap=0.0",
-          "index=Yasbeck, Mr. Antoni<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Bostandyeff, Mr. Guentcho<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Lundahl, Mr. Johan Svensson<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Stahelin-Maeglin, Dr. Max<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
-          "index=Willey, Mr. Edward<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>No_of_parents_plus_children_on_board=0<br>shap=0.0",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Eitemiller, Mr. George Floyd<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Colley, Mr. Edward Pomeroy<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
-          "index=Coleff, Mr. Peju<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_parents_plus_children_on_board=1<br>shap=0.012",
-          "index=Davidson, Mr. Thornton<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
-          "index=Turja, Miss. Anna Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=-0.0",
-          "index=Hassab, Mr. Hammad<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Goodwin, Mr. Charles Edward<br>No_of_parents_plus_children_on_board=2<br>shap=0.025",
-          "index=Panula, Mr. Jaako Arnold<br>No_of_parents_plus_children_on_board=1<br>shap=0.011",
-          "index=Fischer, Mr. Eberhard Thelander<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_parents_plus_children_on_board=0<br>shap=0.004",
-          "index=Hansen, Mr. Henrik Juul<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Calderhead, Mr. Edward Pennington<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
-          "index=Klaber, Mr. Herman<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Taylor, Mr. Elmer Zebley<br>No_of_parents_plus_children_on_board=0<br>shap=0.002",
-          "index=Larsson, Mr. August Viktor<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Greenberg, Mr. Samuel<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=McEvoy, Mr. Michael<br>No_of_parents_plus_children_on_board=0<br>shap=-0.013",
-          "index=Johnson, Mr. Malkolm Joackim<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Gillespie, Mr. William Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Allen, Miss. Elisabeth Walton<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
-          "index=Berriman, Mr. William John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Troupiansky, Mr. Moses Aaron<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Williams, Mr. Leslie<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Ivanoff, Mr. Kanio<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
-          "index=McNamee, Mr. Neal<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Connaghton, Mr. Michael<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Carlsson, Mr. August Sigfrid<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
-          "index=Eklund, Mr. Hans Linus<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
-          "index=Moran, Mr. Daniel J<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Lievens, Mr. Rene Aime<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>No_of_parents_plus_children_on_board=1<br>shap=0.01",
-          "index=Ayoub, Miss. Banoura<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>No_of_parents_plus_children_on_board=0<br>shap=0.002",
-          "index=Johnston, Mr. Andrew G<br>No_of_parents_plus_children_on_board=2<br>shap=0.065",
-          "index=Ali, Mr. William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Sjoblom, Miss. Anna Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=0.0",
-          "index=Guggenheim, Mr. Benjamin<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
-          "index=Leader, Dr. Alice (Farnham)<br>No_of_parents_plus_children_on_board=0<br>shap=0.004",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>No_of_parents_plus_children_on_board=1<br>shap=0.01",
-          "index=Carter, Master. William Thornton II<br>No_of_parents_plus_children_on_board=2<br>shap=0.03",
-          "index=Thomas, Master. Assad Alexander<br>No_of_parents_plus_children_on_board=1<br>shap=0.04",
-          "index=Johansson, Mr. Karl Johan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Slemen, Mr. Richard James<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Tomlin, Mr. Ernest Portage<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=McCormack, Mr. Thomas Joseph<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Richards, Master. George Sibley<br>No_of_parents_plus_children_on_board=1<br>shap=0.048",
-          "index=Mudd, Mr. Thomas Charles<br>No_of_parents_plus_children_on_board=0<br>shap=-0.011",
-          "index=Lemberopolous, Mr. Peter L<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Sage, Mr. Douglas Bullen<br>No_of_parents_plus_children_on_board=2<br>shap=0.017",
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-          "index=Montvila, Rev. Juozas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006"
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+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>No_of_parents_plus_children_on_board=0<br>shap=0.007",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>No_of_parents_plus_children_on_board=0<br>shap=0.007",
+          "None=Palsson, Master. Gosta Leonard<br>No_of_parents_plus_children_on_board=1<br>shap=0.038",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>No_of_parents_plus_children_on_board=2<br>shap=-0.003",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
+          "None=Saundercock, Mr. William Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.008",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>No_of_parents_plus_children_on_board=0<br>shap=0.007",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>No_of_parents_plus_children_on_board=5<br>shap=-0.073",
+          "None=Glynn, Miss. Mary Agatha<br>No_of_parents_plus_children_on_board=0<br>shap=0.008",
+          "None=Meyer, Mr. Edgar Joseph<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Kraeff, Mr. Theodor<br>No_of_parents_plus_children_on_board=0<br>shap=-0.016",
+          "None=Devaney, Miss. Margaret Delia<br>No_of_parents_plus_children_on_board=0<br>shap=0.008",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>No_of_parents_plus_children_on_board=0<br>shap=0.004",
+          "None=Rugg, Miss. Emily<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
+          "None=Harris, Mr. Henry Birkhardt<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Skoog, Master. Harald<br>No_of_parents_plus_children_on_board=2<br>shap=0.021",
+          "None=Kink, Mr. Vincenz<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Hood, Mr. Ambrose Jr<br>No_of_parents_plus_children_on_board=0<br>shap=-0.010",
+          "None=Ilett, Miss. Bertha<br>No_of_parents_plus_children_on_board=0<br>shap=0.002",
+          "None=Ford, Mr. William Neal<br>No_of_parents_plus_children_on_board=3<br>shap=0.027",
+          "None=Christmann, Mr. Emil<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Andreasson, Mr. Paul Edvin<br>No_of_parents_plus_children_on_board=0<br>shap=-0.008",
+          "None=Chaffee, Mr. Herbert Fuller<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.013",
+          "None=White, Mr. Richard Frasar<br>No_of_parents_plus_children_on_board=1<br>shap=0.048",
+          "None=Rekic, Mr. Tido<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Moran, Miss. Bertha<br>No_of_parents_plus_children_on_board=0<br>shap=0.010",
+          "None=Barton, Mr. David John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
+          "None=Jussila, Miss. Katriina<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
+          "None=Pekoniemi, Mr. Edvard<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
+          "None=Turpin, Mr. William John Robert<br>No_of_parents_plus_children_on_board=0<br>shap=-0.011",
+          "None=Moore, Mr. Leonard Charles<br>No_of_parents_plus_children_on_board=0<br>shap=-0.013",
+          "None=Osen, Mr. Olaf Elon<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>No_of_parents_plus_children_on_board=2<br>shap=-0.002",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>No_of_parents_plus_children_on_board=2<br>shap=0.047",
+          "None=Bateman, Rev. Robert James<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
+          "None=Meo, Mr. Alfonzo<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Cribb, Mr. John Hatfield<br>No_of_parents_plus_children_on_board=1<br>shap=0.038",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>No_of_parents_plus_children_on_board=1<br>shap=0.017",
+          "None=Van der hoef, Mr. Wyckoff<br>No_of_parents_plus_children_on_board=0<br>shap=-0.011",
+          "None=Sivola, Mr. Antti Wilhelm<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
+          "None=Klasen, Mr. Klas Albin<br>No_of_parents_plus_children_on_board=1<br>shap=0.044",
+          "None=Rood, Mr. Hugh Roscoe<br>No_of_parents_plus_children_on_board=0<br>shap=-0.011",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Backstrom, Mr. Karl Alfred<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Blank, Mr. Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
+          "None=Ali, Mr. Ahmed<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
+          "None=Green, Mr. George Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Nenkoff, Mr. Christo<br>No_of_parents_plus_children_on_board=0<br>shap=-0.013",
+          "None=Asplund, Miss. Lillian Gertrud<br>No_of_parents_plus_children_on_board=2<br>shap=-0.024",
+          "None=Harknett, Miss. Alice Phoebe<br>No_of_parents_plus_children_on_board=0<br>shap=0.007",
+          "None=Hunt, Mr. George Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
+          "None=Reed, Mr. James George<br>No_of_parents_plus_children_on_board=0<br>shap=-0.013",
+          "None=Stead, Mr. William Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
+          "None=Parrish, Mrs. (Lutie Davis)<br>No_of_parents_plus_children_on_board=1<br>shap=0.022",
+          "None=Smith, Mr. Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
+          "None=Asplund, Master. Edvin Rojj Felix<br>No_of_parents_plus_children_on_board=2<br>shap=0.026",
+          "None=Healy, Miss. Hanora \"Nora\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.008",
+          "None=Andrews, Miss. Kornelia Theodosia<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_parents_plus_children_on_board=1<br>shap=0.012",
+          "None=Smith, Mr. Richard William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.015",
+          "None=Connolly, Miss. Kate<br>No_of_parents_plus_children_on_board=0<br>shap=0.007",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_parents_plus_children_on_board=0<br>shap=0.002",
+          "None=Levy, Mr. Rene Jacques<br>No_of_parents_plus_children_on_board=0<br>shap=-0.011",
+          "None=Lewy, Mr. Ervin G<br>No_of_parents_plus_children_on_board=0<br>shap=-0.016",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_parents_plus_children_on_board=0<br>shap=-0.013",
+          "None=Sage, Mr. George John Jr<br>No_of_parents_plus_children_on_board=2<br>shap=0.004",
+          "None=Nysveen, Mr. Johan Hansen<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_parents_plus_children_on_board=0<br>shap=0.007",
+          "None=Denkoff, Mr. Mitto<br>No_of_parents_plus_children_on_board=0<br>shap=-0.013",
+          "None=Burns, Miss. Elizabeth Margaret<br>No_of_parents_plus_children_on_board=0<br>shap=0.004",
+          "None=Dimic, Mr. Jovan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=del Carlo, Mr. Sebastiano<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
+          "None=Beavan, Mr. William Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.008",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_parents_plus_children_on_board=0<br>shap=0.004",
+          "None=Widener, Mr. Harry Elkins<br>No_of_parents_plus_children_on_board=2<br>shap=0.027",
+          "None=Gustafsson, Mr. Karl Gideon<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
+          "None=Plotcharsky, Mr. Vasil<br>No_of_parents_plus_children_on_board=0<br>shap=-0.013",
+          "None=Goodwin, Master. Sidney Leonard<br>No_of_parents_plus_children_on_board=2<br>shap=0.015",
+          "None=Sadlier, Mr. Matthew<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
+          "None=Gustafsson, Mr. Johan Birger<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_parents_plus_children_on_board=2<br>shap=0.003",
+          "None=Niskanen, Mr. Juha<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Minahan, Miss. Daisy E<br>No_of_parents_plus_children_on_board=0<br>shap=0.007",
+          "None=Matthews, Mr. William John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
+          "None=Charters, Mr. David<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_parents_plus_children_on_board=1<br>shap=0.016",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>No_of_parents_plus_children_on_board=0<br>shap=-0.013",
+          "None=Peuchen, Major. Arthur Godfrey<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Anderson, Mr. Harry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Milling, Mr. Jacob Christian<br>No_of_parents_plus_children_on_board=0<br>shap=-0.011",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_parents_plus_children_on_board=2<br>shap=0.007",
+          "None=Karlsson, Mr. Nils August<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_parents_plus_children_on_board=0<br>shap=-0.018",
+          "None=Bishop, Mr. Dickinson H<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
+          "None=Windelov, Mr. Einar<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
+          "None=Shellard, Mr. Frederick William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.014",
+          "None=Svensson, Mr. Olof<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
+          "None=O'Sullivan, Miss. Bridget Mary<br>No_of_parents_plus_children_on_board=0<br>shap=0.009",
+          "None=Laitinen, Miss. Kristina Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=0.008",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.013",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
+          "None=Kassem, Mr. Fared<br>No_of_parents_plus_children_on_board=0<br>shap=-0.016",
+          "None=Cacic, Miss. Marija<br>No_of_parents_plus_children_on_board=0<br>shap=0.007",
+          "None=Hart, Miss. Eva Miriam<br>No_of_parents_plus_children_on_board=2<br>shap=0.013",
+          "None=Butt, Major. Archibald Willingham<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
+          "None=Beane, Mr. Edward<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
+          "None=Goldsmith, Mr. Frank John<br>No_of_parents_plus_children_on_board=1<br>shap=0.032",
+          "None=Ohman, Miss. Velin<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_parents_plus_children_on_board=1<br>shap=0.009",
+          "None=Morrow, Mr. Thomas Rowan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
+          "None=Harris, Mr. George<br>No_of_parents_plus_children_on_board=0<br>shap=-0.011",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_parents_plus_children_on_board=0<br>shap=0.008",
+          "None=Patchett, Mr. George<br>No_of_parents_plus_children_on_board=0<br>shap=-0.010",
+          "None=Ross, Mr. John Hugo<br>No_of_parents_plus_children_on_board=0<br>shap=-0.008",
+          "None=Murdlin, Mr. Joseph<br>No_of_parents_plus_children_on_board=0<br>shap=-0.013",
+          "None=Bourke, Miss. Mary<br>No_of_parents_plus_children_on_board=2<br>shap=0.001",
+          "None=Boulos, Mr. Hanna<br>No_of_parents_plus_children_on_board=0<br>shap=-0.016",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
+          "None=Lindell, Mr. Edvard Bengtsson<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Daniel, Mr. Robert Williams<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_parents_plus_children_on_board=2<br>shap=0.003",
+          "None=Shutes, Miss. Elizabeth W<br>No_of_parents_plus_children_on_board=0<br>shap=0.008",
+          "None=Jardin, Mr. Jose Neto<br>No_of_parents_plus_children_on_board=0<br>shap=-0.013",
+          "None=Horgan, Mr. John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_parents_plus_children_on_board=0<br>shap=0.007",
+          "None=Yasbeck, Mr. Antoni<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
+          "None=Bostandyeff, Mr. Guentcho<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Lundahl, Mr. Johan Svensson<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Stahelin-Maeglin, Dr. Max<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
+          "None=Willey, Mr. Edward<br>No_of_parents_plus_children_on_board=0<br>shap=-0.013",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>No_of_parents_plus_children_on_board=0<br>shap=0.006",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.008",
+          "None=Eitemiller, Mr. George Floyd<br>No_of_parents_plus_children_on_board=0<br>shap=-0.015",
+          "None=Colley, Mr. Edward Pomeroy<br>No_of_parents_plus_children_on_board=0<br>shap=-0.008",
+          "None=Coleff, Mr. Peju<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_parents_plus_children_on_board=1<br>shap=0.021",
+          "None=Davidson, Mr. Thornton<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Turja, Miss. Anna Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
+          "None=Hassab, Mr. Hammad<br>No_of_parents_plus_children_on_board=0<br>shap=-0.011",
+          "None=Goodwin, Mr. Charles Edward<br>No_of_parents_plus_children_on_board=2<br>shap=0.001",
+          "None=Panula, Mr. Jaako Arnold<br>No_of_parents_plus_children_on_board=1<br>shap=0.009",
+          "None=Fischer, Mr. Eberhard Thelander<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_parents_plus_children_on_board=0<br>shap=-0.011",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_parents_plus_children_on_board=0<br>shap=0.007",
+          "None=Hansen, Mr. Henrik Juul<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Calderhead, Mr. Edward Pennington<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Klaber, Mr. Herman<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
+          "None=Taylor, Mr. Elmer Zebley<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
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-          "index=Goldsmith, Mr. Frank John<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.008",
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-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.005",
-          "index=Morrow, Mr. Thomas Rowan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.0",
-          "index=Harris, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_siblings_plus_spouses_on_board=2<br>shap=-0.003",
-          "index=Patchett, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Ross, Mr. John Hugo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
-          "index=Murdlin, Mr. Joseph<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Bourke, Miss. Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.011",
-          "index=Boulos, Mr. Hanna<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.0",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.013",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.0",
-          "index=Lindell, Mr. Edvard Bengtsson<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
-          "index=Daniel, Mr. Robert Williams<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.001",
-          "index=Shutes, Miss. Elizabeth W<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.007",
-          "index=Jardin, Mr. Jose Neto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Horgan, Mr. John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.0",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.0",
-          "index=Yasbeck, Mr. Antoni<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.008",
-          "index=Bostandyeff, Mr. Guentcho<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Lundahl, Mr. Johan Svensson<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Stahelin-Maeglin, Dr. Max<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.006",
-          "index=Willey, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.005",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.006",
-          "index=Eitemiller, Mr. George Floyd<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Colley, Mr. Edward Pomeroy<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Coleff, Mr. Peju<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
-          "index=Davidson, Mr. Thornton<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.012",
-          "index=Turja, Miss. Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.005",
-          "index=Hassab, Mr. Hammad<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.004",
-          "index=Goodwin, Mr. Charles Edward<br>No_of_siblings_plus_spouses_on_board=5<br>shap=-0.074",
-          "index=Panula, Mr. Jaako Arnold<br>No_of_siblings_plus_spouses_on_board=4<br>shap=-0.064",
-          "index=Fischer, Mr. Eberhard Thelander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.005",
-          "index=Hansen, Mr. Henrik Juul<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.003",
-          "index=Calderhead, Mr. Edward Pennington<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Klaber, Mr. Herman<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
-          "index=Taylor, Mr. Elmer Zebley<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.005",
-          "index=Larsson, Mr. August Viktor<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Greenberg, Mr. Samuel<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
-          "index=McEvoy, Mr. Michael<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Johnson, Mr. Malkolm Joackim<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Gillespie, Mr. William Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Allen, Miss. Elisabeth Walton<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.007",
-          "index=Berriman, Mr. William John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Troupiansky, Mr. Moses Aaron<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Williams, Mr. Leslie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Ivanoff, Mr. Kanio<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=McNamee, Mr. Neal<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
-          "index=Connaghton, Mr. Michael<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.0",
-          "index=Carlsson, Mr. August Sigfrid<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.007",
-          "index=Eklund, Mr. Hans Linus<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.0",
-          "index=Moran, Mr. Daniel J<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.011",
-          "index=Lievens, Mr. Rene Aime<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.01",
-          "index=Ayoub, Miss. Banoura<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.007",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.002",
-          "index=Johnston, Mr. Andrew G<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.013",
-          "index=Ali, Mr. William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Sjoblom, Miss. Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.005",
-          "index=Guggenheim, Mr. Benjamin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.006",
-          "index=Leader, Dr. Alice (Farnham)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.006",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.0",
-          "index=Carter, Master. William Thornton II<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.018",
-          "index=Thomas, Master. Assad Alexander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
-          "index=Johansson, Mr. Karl Johan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Slemen, Mr. Richard James<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Tomlin, Mr. Ernest Portage<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=McCormack, Mr. Thomas Joseph<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.0",
-          "index=Richards, Master. George Sibley<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.016",
-          "index=Mudd, Mr. Thomas Charles<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Lemberopolous, Mr. Peter L<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.0",
-          "index=Sage, Mr. Douglas Bullen<br>No_of_siblings_plus_spouses_on_board=8<br>shap=-0.085",
-          "index=Boulos, Miss. Nourelain<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.002",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.011",
-          "index=Razi, Mr. Raihed<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.0",
-          "index=Johnson, Master. Harold Theodor<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.015",
-          "index=Carlsson, Mr. Frans Olof<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Gustafsson, Mr. Alfred Ossian<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Montvila, Rev. Juozas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002"
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-         "type": "scatter",
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+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.005",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
+          "None=Palsson, Master. Gosta Leonard<br>No_of_siblings_plus_spouses_on_board=3<br>shap=-0.034",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.015",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.006",
+          "None=Saundercock, Mr. William Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.011",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
+          "None=Glynn, Miss. Mary Agatha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.009",
+          "None=Meyer, Mr. Edgar Joseph<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.011",
+          "None=Kraeff, Mr. Theodor<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Devaney, Miss. Margaret Delia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.008",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.005",
+          "None=Rugg, Miss. Emily<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.007",
+          "None=Harris, Mr. Henry Birkhardt<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
+          "None=Skoog, Master. Harald<br>No_of_siblings_plus_spouses_on_board=3<br>shap=-0.038",
+          "None=Kink, Mr. Vincenz<br>No_of_siblings_plus_spouses_on_board=2<br>shap=0.005",
+          "None=Hood, Mr. Ambrose Jr<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.007",
+          "None=Ilett, Miss. Bertha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.008",
+          "None=Ford, Mr. William Neal<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
+          "None=Christmann, Mr. Emil<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
+          "None=Andreasson, Mr. Paul Edvin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Chaffee, Mr. Herbert Fuller<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.005",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=White, Mr. Richard Frasar<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Rekic, Mr. Tido<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
+          "None=Moran, Miss. Bertha<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.005",
+          "None=Barton, Mr. David John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Jussila, Miss. Katriina<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.003",
+          "None=Pekoniemi, Mr. Edvard<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Turpin, Mr. William John Robert<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
+          "None=Moore, Mr. Leonard Charles<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Osen, Mr. Olaf Elon<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>No_of_siblings_plus_spouses_on_board=2<br>shap=0.000",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.012",
+          "None=Bateman, Rev. Robert James<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
+          "None=Meo, Mr. Alfonzo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Cribb, Mr. John Hatfield<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.012",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.012",
+          "None=Van der hoef, Mr. Wyckoff<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.009",
+          "None=Sivola, Mr. Antti Wilhelm<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Klasen, Mr. Klas Albin<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.006",
+          "None=Rood, Mr. Hugh Roscoe<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.006",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.001",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Backstrom, Mr. Karl Alfred<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.005",
+          "None=Blank, Mr. Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
+          "None=Ali, Mr. Ahmed<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Green, Mr. George Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Nenkoff, Mr. Christo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Asplund, Miss. Lillian Gertrud<br>No_of_siblings_plus_spouses_on_board=4<br>shap=-0.089",
+          "None=Harknett, Miss. Alice Phoebe<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.013",
+          "None=Hunt, Mr. George Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
+          "None=Reed, Mr. James George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Stead, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.009",
+          "None=Parrish, Mrs. (Lutie Davis)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.012",
+          "None=Smith, Mr. Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Asplund, Master. Edvin Rojj Felix<br>No_of_siblings_plus_spouses_on_board=4<br>shap=-0.044",
+          "None=Healy, Miss. Hanora \"Nora\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.009",
+          "None=Andrews, Miss. Kornelia Theodosia<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.008",
+          "None=Smith, Mr. Richard William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.005",
+          "None=Connolly, Miss. Kate<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.008",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.009",
+          "None=Levy, Mr. Rene Jacques<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.000",
+          "None=Lewy, Mr. Ervin G<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Sage, Mr. George John Jr<br>No_of_siblings_plus_spouses_on_board=8<br>shap=-0.056",
+          "None=Nysveen, Mr. Johan Hansen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.008",
+          "None=Denkoff, Mr. Mitto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Burns, Miss. Elizabeth Margaret<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.005",
+          "None=Dimic, Mr. Jovan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
+          "None=del Carlo, Mr. Sebastiano<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.003",
+          "None=Beavan, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.010",
+          "None=Widener, Mr. Harry Elkins<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.010",
+          "None=Gustafsson, Mr. Karl Gideon<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Plotcharsky, Mr. Vasil<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Goodwin, Master. Sidney Leonard<br>No_of_siblings_plus_spouses_on_board=5<br>shap=-0.045",
+          "None=Sadlier, Mr. Matthew<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Gustafsson, Mr. Johan Birger<br>No_of_siblings_plus_spouses_on_board=2<br>shap=0.005",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.011",
+          "None=Niskanen, Mr. Juha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Minahan, Miss. Daisy E<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
+          "None=Matthews, Mr. William John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
+          "None=Charters, Mr. David<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.009",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.001",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Peuchen, Major. Arthur Godfrey<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Anderson, Mr. Harry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.010",
+          "None=Milling, Mr. Jacob Christian<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.003",
+          "None=Karlsson, Mr. Nils August<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Bishop, Mr. Dickinson H<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.021",
+          "None=Windelov, Mr. Einar<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Shellard, Mr. Frederick William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.006",
+          "None=Svensson, Mr. Olof<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=O'Sullivan, Miss. Bridget Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.010",
+          "None=Laitinen, Miss. Kristina Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.008",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.010",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.002",
+          "None=Kassem, Mr. Fared<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Cacic, Miss. Marija<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.008",
+          "None=Hart, Miss. Eva Miriam<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.018",
+          "None=Butt, Major. Archibald Willingham<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.012",
+          "None=Beane, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
+          "None=Goldsmith, Mr. Frank John<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
+          "None=Ohman, Miss. Velin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.008",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.002",
+          "None=Morrow, Mr. Thomas Rowan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Harris, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_siblings_plus_spouses_on_board=2<br>shap=0.002",
+          "None=Patchett, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.006",
+          "None=Ross, Mr. John Hugo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Murdlin, Mr. Joseph<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Bourke, Miss. Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.015",
+          "None=Boulos, Mr. Hanna<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.008",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
+          "None=Lindell, Mr. Edvard Bengtsson<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.005",
+          "None=Daniel, Mr. Robert Williams<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
+          "None=Shutes, Miss. Elizabeth W<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.007",
+          "None=Jardin, Mr. Jose Neto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Horgan, Mr. John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
+          "None=Yasbeck, Mr. Antoni<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.007",
+          "None=Bostandyeff, Mr. Guentcho<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Lundahl, Mr. Johan Svensson<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Stahelin-Maeglin, Dr. Max<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.005",
+          "None=Willey, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.009",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.009",
+          "None=Eitemiller, Mr. George Floyd<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Colley, Mr. Edward Pomeroy<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.009",
+          "None=Coleff, Mr. Peju<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
+          "None=Davidson, Mr. Thornton<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.016",
+          "None=Turja, Miss. Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.009",
+          "None=Hassab, Mr. Hammad<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
+          "None=Goodwin, Mr. Charles Edward<br>No_of_siblings_plus_spouses_on_board=5<br>shap=-0.044",
+          "None=Panula, Mr. Jaako Arnold<br>No_of_siblings_plus_spouses_on_board=4<br>shap=-0.041",
+          "None=Fischer, Mr. Eberhard Thelander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.001",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.007",
+          "None=Hansen, Mr. Henrik Juul<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.006",
+          "None=Calderhead, Mr. Edward Pennington<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.006",
+          "None=Klaber, Mr. Herman<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.005",
+          "None=Taylor, Mr. Elmer Zebley<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.002",
+          "None=Larsson, Mr. August Viktor<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Greenberg, Mr. Samuel<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.005",
+          "None=McEvoy, Mr. Michael<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.007",
+          "None=Johnson, Mr. Malkolm Joackim<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Gillespie, Mr. William Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
+          "None=Allen, Miss. Elisabeth Walton<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.008",
+          "None=Berriman, Mr. William John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Troupiansky, Mr. Moses Aaron<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Williams, Mr. Leslie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.007",
+          "None=Ivanoff, Mr. Kanio<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=McNamee, Mr. Neal<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
+          "None=Connaghton, Mr. Michael<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Carlsson, Mr. August Sigfrid<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.006",
+          "None=Eklund, Mr. Hans Linus<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Hogeboom, Mrs. John C (Anna Andrews)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.003",
+          "None=Moran, Mr. Daniel J<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.005",
+          "None=Lievens, Mr. Rene Aime<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.006",
+          "None=Ayoub, Miss. Banoura<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.007",
+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
+          "None=Johnston, Mr. Andrew G<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.007",
+          "None=Ali, Mr. William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Sjoblom, Miss. Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.009",
+          "None=Guggenheim, Mr. Benjamin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.004",
+          "None=Leader, Dr. Alice (Farnham)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.009",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.005",
+          "None=Carter, Master. William Thornton II<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.019",
+          "None=Thomas, Master. Assad Alexander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.009",
+          "None=Johansson, Mr. Karl Johan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Slemen, Mr. Richard James<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
+          "None=Tomlin, Mr. Ernest Portage<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
+          "None=McCormack, Mr. Thomas Joseph<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Richards, Master. George Sibley<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.005",
+          "None=Mudd, Mr. Thomas Charles<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
+          "None=Lemberopolous, Mr. Peter L<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
+          "None=Sage, Mr. Douglas Bullen<br>No_of_siblings_plus_spouses_on_board=8<br>shap=-0.056",
+          "None=Boulos, Miss. Nourelain<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.009",
+          "None=Aks, Mrs. Sam (Leah Rosen)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.011",
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Katriina<br>Fare=9.825<br>shap=-0.028\", \"None=Pekoniemi, Mr. Edvard<br>Fare=7.925<br>shap=-0.033\", \"None=Turpin, Mr. William John Robert<br>Fare=21.0<br>shap=0.001\", \"None=Moore, Mr. Leonard Charles<br>Fare=8.05<br>shap=-0.040\", \"None=Osen, Mr. Olaf Elon<br>Fare=9.2167<br>shap=-0.035\", \"None=Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Fare=34.375<br>shap=-0.036\", \"None=Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Fare=26.0<br>shap=0.010\", \"None=Bateman, Rev. Robert James<br>Fare=12.525<br>shap=0.001\", \"None=Meo, Mr. Alfonzo<br>Fare=8.05<br>shap=-0.032\", \"None=Cribb, Mr. John Hatfield<br>Fare=16.1<br>shap=0.015\", \"None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Fare=55.0<br>shap=0.046\", \"None=Van der hoef, Mr. Wyckoff<br>Fare=33.5<br>shap=0.000\", \"None=Sivola, Mr. Antti Wilhelm<br>Fare=7.925<br>shap=-0.033\", \"None=Klasen, Mr. Klas Albin<br>Fare=7.8542<br>shap=-0.027\", \"None=Rood, Mr. Hugh Roscoe<br>Fare=50.0<br>shap=0.018\", \"None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Fare=7.8542<br>shap=-0.029\", \"None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Fare=27.7208<br>shap=-0.007\", \"None=Vande Walle, Mr. Nestor Cyriel<br>Fare=9.5<br>shap=-0.027\", \"None=Backstrom, Mr. Karl Alfred<br>Fare=15.85<br>shap=0.007\", \"None=Blank, Mr. Henry<br>Fare=31.0<br>shap=-0.005\", \"None=Ali, Mr. Ahmed<br>Fare=7.05<br>shap=-0.044\", \"None=Green, Mr. George Henry<br>Fare=8.05<br>shap=-0.032\", \"None=Nenkoff, Mr. Christo<br>Fare=7.8958<br>shap=-0.042\", \"None=Asplund, Miss. Lillian Gertrud<br>Fare=31.3875<br>shap=-0.038\", \"None=Harknett, Miss. 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        "                            \n",
-       "var gd = document.getElementById('37ea89cc-583f-4684-8582-2e188f0ebf3d');\n",
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@@ -8310,14 +7327,138 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_detailed(topx=10, cats=True)"
+    "explainer.plot_shap_detailed(topx=10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## interaction importances"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Without grouping cats:"
+    "### mean absolute shap interaction values for interactions with 'Sex' \n",
+    "- the direct effect is usually the largest\n",
+    "- in this case PassengerClass shows the biggest interaction with gender"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T15:56:59.600895Z",
+     "start_time": "2021-01-20T15:56:58.996679Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Calculating shap interaction values...\n",
+      "Reminder: TreeShap computational complexity is O(TLD^2), where T is the number of trees, L is the maximum number of leaves in any tree and D the maximal depth of any tree. So reducing these will speed up the calculation.\n"
+     ]
+    },
+    {
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+        "title": {
+         "text": "Average interaction shap values for Sex"
+        },
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+         "automargin": true,
+         "title": {
+          "text": ""
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+        "yaxis": {
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+       "<div>                            <div id=\"65c5608d-3fe8-42cb-8141-cfdaea88e3dc\" class=\"plotly-graph-div\" style=\"height:300px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"65c5608d-3fe8-42cb-8141-cfdaea88e3dc\")) {                    Plotly.newPlot(                        \"65c5608d-3fe8-42cb-8141-cfdaea88e3dc\",                        [{\"hoverinfo\": \"text\", \"orientation\": \"h\", \"type\": \"bar\", \"x\": [0.00499330083311764, 0.008148651964828198, 0.00952179877930133, 0.016188025063415705, 0.19107063648571077], \"y\": [\"5. Deck\", \"4. No_of_parents_plus_children_on_board\", \"3. Embarked\", \"2. PassengerClass\", \"1. Sex\"]}],                        {\"height\": 300, \"margin\": {\"b\": 50, \"l\": 252, \"pad\": 4, \"r\": 50, \"t\": 50}, \"plot_bgcolor\": \"#fff\", \"showlegend\": false, \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Average interaction shap values for Sex\"}, \"xaxis\": {\"automargin\": true, \"title\": {\"text\": \"\"}}, \"yaxis\": {\"automargin\": true}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('65c5608d-3fe8-42cb-8141-cfdaea88e3dc');\n",
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+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
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+       "\n",
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+      ]
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+   "source": [
+    "explainer.plot_interactions_importance('Sex', topx=5)"
    ]
   },
   {
@@ -8325,8 +7466,122 @@
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     "ExecuteTime": {
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+     "start_time": "2021-01-20T15:57:08.123962Z"
+    }
+   },
+   "outputs": [
+    {
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+          "4. PassengerClass",
+          "3. Sex",
+          "2. Deck",
+          "1. Fare"
+         ]
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+       ],
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+        "title": {
+         "text": "Average interaction shap values for Fare"
+        },
+        "xaxis": {
+         "automargin": true,
+         "title": {
+          "text": ""
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+        },
+        "yaxis": {
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+       "<div>                            <div id=\"c983a881-94c9-4921-8867-bf83c93eb045\" class=\"plotly-graph-div\" style=\"height:300px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"c983a881-94c9-4921-8867-bf83c93eb045\")) {                    Plotly.newPlot(                        \"c983a881-94c9-4921-8867-bf83c93eb045\",                        [{\"hoverinfo\": \"text\", \"orientation\": \"h\", \"type\": \"bar\", \"x\": [0.0029194069956989177, 0.004043118618002805, 0.004282542292886905, 0.005542762165956784, 0.03591736862657402], \"y\": [\"5. No_of_parents_plus_children_on_board\", \"4. PassengerClass\", \"3. Sex\", \"2. Deck\", \"1. Fare\"]}],                        {\"height\": 300, \"margin\": {\"b\": 50, \"l\": 252, \"pad\": 4, \"r\": 50, \"t\": 50}, \"plot_bgcolor\": \"#fff\", \"showlegend\": false, \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Average interaction shap values for Fare\"}, \"xaxis\": {\"automargin\": true, \"title\": {\"text\": \"\"}}, \"yaxis\": {\"automargin\": true}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('c983a881-94c9-4921-8867-bf83c93eb045');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
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+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
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+   "source": [
+    "explainer.plot_interactions_importance('Fare', topx=5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Detailed shap interactions summary:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T15:57:15.262189Z",
+     "start_time": "2021-01-20T15:57:15.132565Z"
     }
    },
    "outputs": [
@@ -8337,210 +7592,854 @@
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        },
        "data": [
+        {
+         "hoverinfo": "text",
+         "marker": {
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+          "opacity": 0.3,
+          "showscale": false,
+          "size": 5
+         },
+         "mode": "markers",
+         "name": "Sex_male",
+         "opacity": 0.8,
+         "showlegend": false,
+         "text": [
+          "None=Palsson, Master. Gosta Leonard<br>Sex=Sex_male<br>shap=-0.161",
+          "None=Saundercock, Mr. William Henry<br>Sex=Sex_male<br>shap=-0.154",
+          "None=Meyer, Mr. Edgar Joseph<br>Sex=Sex_male<br>shap=-0.150",
+          "None=Kraeff, Mr. Theodor<br>Sex=Sex_male<br>shap=-0.154",
+          "None=Harris, Mr. Henry Birkhardt<br>Sex=Sex_male<br>shap=-0.146",
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+          "None=Kink, Mr. Vincenz<br>Sex=Sex_male<br>shap=-0.154",
+          "None=Hood, Mr. Ambrose Jr<br>Sex=Sex_male<br>shap=-0.154",
+          "None=Ford, Mr. William Neal<br>Sex=Sex_male<br>shap=-0.156",
+          "None=Christmann, Mr. Emil<br>Sex=Sex_male<br>shap=-0.154",
+          "None=Andreasson, Mr. Paul Edvin<br>Sex=Sex_male<br>shap=-0.155",
+          "None=Chaffee, Mr. Herbert Fuller<br>Sex=Sex_male<br>shap=-0.146",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Sex=Sex_male<br>shap=-0.152",
+          "None=White, Mr. Richard Frasar<br>Sex=Sex_male<br>shap=-0.155",
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+          "None=Barton, Mr. David John<br>Sex=Sex_male<br>shap=-0.154",
+          "None=Pekoniemi, Mr. Edvard<br>Sex=Sex_male<br>shap=-0.154",
+          "None=Turpin, Mr. William John Robert<br>Sex=Sex_male<br>shap=-0.155",
+          "None=Moore, Mr. Leonard Charles<br>Sex=Sex_male<br>shap=-0.152",
+          "None=Osen, Mr. Olaf Elon<br>Sex=Sex_male<br>shap=-0.153",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Sex=Sex_male<br>shap=-0.157",
+          "None=Bateman, Rev. Robert James<br>Sex=Sex_male<br>shap=-0.155",
+          "None=Meo, Mr. Alfonzo<br>Sex=Sex_male<br>shap=-0.153",
+          "None=Cribb, Mr. John Hatfield<br>Sex=Sex_male<br>shap=-0.156",
+          "None=Van der hoef, Mr. Wyckoff<br>Sex=Sex_male<br>shap=-0.146",
+          "None=Sivola, Mr. Antti Wilhelm<br>Sex=Sex_male<br>shap=-0.154",
+          "None=Klasen, Mr. Klas Albin<br>Sex=Sex_male<br>shap=-0.152",
+          "None=Rood, Mr. Hugh Roscoe<br>Sex=Sex_male<br>shap=-0.157",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Sex=Sex_male<br>shap=-0.154",
+          "None=Backstrom, Mr. Karl Alfred<br>Sex=Sex_male<br>shap=-0.155",
+          "None=Blank, Mr. Henry<br>Sex=Sex_male<br>shap=-0.153",
+          "None=Ali, Mr. Ahmed<br>Sex=Sex_male<br>shap=-0.154",
+          "None=Green, Mr. George Henry<br>Sex=Sex_male<br>shap=-0.154",
+          "None=Nenkoff, Mr. Christo<br>Sex=Sex_male<br>shap=-0.152",
+          "None=Hunt, Mr. George Henry<br>Sex=Sex_male<br>shap=-0.155",
+          "None=Reed, Mr. James George<br>Sex=Sex_male<br>shap=-0.152",
+          "None=Stead, Mr. William Thomas<br>Sex=Sex_male<br>shap=-0.156",
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+          "None=Smith, Mr. Richard William<br>Sex=Sex_male<br>shap=-0.159",
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+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Sex=Sex_male<br>shap=-0.152",
+          "None=Sage, Mr. George John Jr<br>Sex=Sex_male<br>shap=-0.161",
+          "None=Nysveen, Mr. Johan Hansen<br>Sex=Sex_male<br>shap=-0.152",
+          "None=Denkoff, Mr. Mitto<br>Sex=Sex_male<br>shap=-0.152",
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+          "None=del Carlo, Mr. Sebastiano<br>Sex=Sex_male<br>shap=-0.150",
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+          "None=Widener, Mr. Harry Elkins<br>Sex=Sex_male<br>shap=-0.154",
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+          "None=Windelov, Mr. Einar<br>Sex=Sex_male<br>shap=-0.154",
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-          "index=Klasen, Mr. Klas Albin<br>Sex_male=1<br>shap=-0.067",
-          "index=Rood, Mr. Hugh Roscoe<br>Sex_male=1<br>shap=-0.079",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Sex_male=0<br>shap=0.125",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Sex_male=0<br>shap=0.134",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Sex_male=1<br>shap=-0.069",
-          "index=Backstrom, Mr. Karl Alfred<br>Sex_male=1<br>shap=-0.08",
-          "index=Blank, Mr. Henry<br>Sex_male=1<br>shap=-0.087",
-          "index=Ali, Mr. Ahmed<br>Sex_male=1<br>shap=-0.071",
-          "index=Green, Mr. George Henry<br>Sex_male=1<br>shap=-0.067",
-          "index=Nenkoff, Mr. Christo<br>Sex_male=1<br>shap=-0.07",
-          "index=Asplund, Miss. Lillian Gertrud<br>Sex_male=0<br>shap=0.07",
-          "index=Harknett, Miss. Alice Phoebe<br>Sex_male=0<br>shap=0.132",
-          "index=Hunt, Mr. George Henry<br>Sex_male=1<br>shap=-0.096",
-          "index=Reed, Mr. James George<br>Sex_male=1<br>shap=-0.071",
-          "index=Stead, Mr. William Thomas<br>Sex_male=1<br>shap=-0.073",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Sex_male=0<br>shap=0.158",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Sex_male=0<br>shap=0.149",
-          "index=Smith, Mr. Thomas<br>Sex_male=1<br>shap=-0.096",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Sex_male=1<br>shap=-0.045",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Sex_male=0<br>shap=0.162",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Sex_male=0<br>shap=0.118",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Sex_male=0<br>shap=0.12",
-          "index=Smith, Mr. Richard William<br>Sex_male=1<br>shap=-0.074",
-          "index=Connolly, Miss. Kate<br>Sex_male=0<br>shap=0.153",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Sex_male=0<br>shap=0.116",
-          "index=Levy, Mr. Rene Jacques<br>Sex_male=1<br>shap=-0.088",
-          "index=Lewy, Mr. Ervin G<br>Sex_male=1<br>shap=-0.102",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Sex_male=1<br>shap=-0.07",
-          "index=Sage, Mr. George John Jr<br>Sex_male=1<br>shap=-0.044",
-          "index=Nysveen, Mr. Johan Hansen<br>Sex_male=1<br>shap=-0.069",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Sex_male=0<br>shap=0.144",
-          "index=Denkoff, Mr. Mitto<br>Sex_male=1<br>shap=-0.07",
-          "index=Burns, Miss. Elizabeth Margaret<br>Sex_male=0<br>shap=0.126",
-          "index=Dimic, Mr. Jovan<br>Sex_male=1<br>shap=-0.069",
-          "index=del Carlo, Mr. Sebastiano<br>Sex_male=1<br>shap=-0.107",
-          "index=Beavan, Mr. William Thomas<br>Sex_male=1<br>shap=-0.07",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Sex_male=0<br>shap=0.15",
-          "index=Widener, Mr. Harry Elkins<br>Sex_male=1<br>shap=-0.086",
-          "index=Gustafsson, Mr. Karl Gideon<br>Sex_male=1<br>shap=-0.07",
-          "index=Plotcharsky, Mr. Vasil<br>Sex_male=1<br>shap=-0.07",
-          "index=Goodwin, Master. Sidney Leonard<br>Sex_male=1<br>shap=-0.045",
-          "index=Sadlier, Mr. Matthew<br>Sex_male=1<br>shap=-0.096",
-          "index=Gustafsson, Mr. Johan Birger<br>Sex_male=1<br>shap=-0.073",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Sex_male=0<br>shap=0.093",
-          "index=Niskanen, Mr. Juha<br>Sex_male=1<br>shap=-0.07",
-          "index=Minahan, Miss. Daisy E<br>Sex_male=0<br>shap=0.129",
-          "index=Matthews, Mr. William John<br>Sex_male=1<br>shap=-0.095",
-          "index=Charters, Mr. David<br>Sex_male=1<br>shap=-0.091",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Sex_male=0<br>shap=0.151",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Sex_male=0<br>shap=0.146",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Sex_male=1<br>shap=-0.07",
-          "index=Peuchen, Major. Arthur Godfrey<br>Sex_male=1<br>shap=-0.075",
-          "index=Anderson, Mr. Harry<br>Sex_male=1<br>shap=-0.073",
-          "index=Milling, Mr. Jacob Christian<br>Sex_male=1<br>shap=-0.093",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Sex_male=0<br>shap=0.148",
-          "index=Karlsson, Mr. Nils August<br>Sex_male=1<br>shap=-0.071",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Sex_male=1<br>shap=-0.08",
-          "index=Bishop, Mr. Dickinson H<br>Sex_male=1<br>shap=-0.092",
-          "index=Windelov, Mr. Einar<br>Sex_male=1<br>shap=-0.071",
-          "index=Shellard, Mr. Frederick William<br>Sex_male=1<br>shap=-0.076",
-          "index=Svensson, Mr. Olof<br>Sex_male=1<br>shap=-0.07",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Sex_male=0<br>shap=0.161",
-          "index=Laitinen, Miss. Kristina Sofia<br>Sex_male=0<br>shap=0.124",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Sex_male=1<br>shap=-0.091",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Sex_male=1<br>shap=-0.086",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Sex_male=0<br>shap=0.158",
-          "index=Kassem, Mr. Fared<br>Sex_male=1<br>shap=-0.08",
-          "index=Cacic, Miss. Marija<br>Sex_male=0<br>shap=0.123",
-          "index=Hart, Miss. Eva Miriam<br>Sex_male=0<br>shap=0.133",
-          "index=Butt, Major. Archibald Willingham<br>Sex_male=1<br>shap=-0.08",
-          "index=Beane, Mr. Edward<br>Sex_male=1<br>shap=-0.099",
-          "index=Goldsmith, Mr. Frank John<br>Sex_male=1<br>shap=-0.073",
-          "index=Ohman, Miss. Velin<br>Sex_male=0<br>shap=0.126",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Sex_male=0<br>shap=0.113",
-          "index=Morrow, Mr. Thomas Rowan<br>Sex_male=1<br>shap=-0.096",
-          "index=Harris, Mr. George<br>Sex_male=1<br>shap=-0.082",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Sex_male=0<br>shap=0.128",
-          "index=Patchett, Mr. George<br>Sex_male=1<br>shap=-0.078",
-          "index=Ross, Mr. John Hugo<br>Sex_male=1<br>shap=-0.088",
-          "index=Murdlin, Mr. Joseph<br>Sex_male=1<br>shap=-0.07",
-          "index=Bourke, Miss. Mary<br>Sex_male=0<br>shap=0.124",
-          "index=Boulos, Mr. Hanna<br>Sex_male=1<br>shap=-0.08",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Sex_male=1<br>shap=-0.089",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Sex_male=1<br>shap=-0.107",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Sex_male=1<br>shap=-0.079",
-          "index=Daniel, Mr. Robert Williams<br>Sex_male=1<br>shap=-0.093",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Sex_male=0<br>shap=0.15",
-          "index=Shutes, Miss. Elizabeth W<br>Sex_male=0<br>shap=0.124",
-          "index=Jardin, Mr. Jose Neto<br>Sex_male=1<br>shap=-0.071",
-          "index=Horgan, Mr. John<br>Sex_male=1<br>shap=-0.096",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Sex_male=0<br>shap=0.137",
-          "index=Yasbeck, Mr. Antoni<br>Sex_male=1<br>shap=-0.081",
-          "index=Bostandyeff, Mr. Guentcho<br>Sex_male=1<br>shap=-0.07",
-          "index=Lundahl, Mr. Johan Svensson<br>Sex_male=1<br>shap=-0.068",
-          "index=Stahelin-Maeglin, Dr. Max<br>Sex_male=1<br>shap=-0.092",
-          "index=Willey, Mr. Edward<br>Sex_male=1<br>shap=-0.071",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Sex_male=0<br>shap=0.131",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Sex_male=0<br>shap=0.156",
-          "index=Eitemiller, Mr. George Floyd<br>Sex_male=1<br>shap=-0.094",
-          "index=Colley, Mr. Edward Pomeroy<br>Sex_male=1<br>shap=-0.073",
-          "index=Coleff, Mr. Peju<br>Sex_male=1<br>shap=-0.071",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Sex_male=0<br>shap=0.147",
-          "index=Davidson, Mr. Thornton<br>Sex_male=1<br>shap=-0.083",
-          "index=Turja, Miss. Anna Sofia<br>Sex_male=0<br>shap=0.124",
-          "index=Hassab, Mr. Hammad<br>Sex_male=1<br>shap=-0.097",
-          "index=Goodwin, Mr. Charles Edward<br>Sex_male=1<br>shap=-0.049",
-          "index=Panula, Mr. Jaako Arnold<br>Sex_male=1<br>shap=-0.052",
-          "index=Fischer, Mr. Eberhard Thelander<br>Sex_male=1<br>shap=-0.071",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Sex_male=1<br>shap=-0.066",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Sex_male=0<br>shap=0.12",
-          "index=Hansen, Mr. Henrik Juul<br>Sex_male=1<br>shap=-0.072",
-          "index=Calderhead, Mr. Edward Pennington<br>Sex_male=1<br>shap=-0.071",
-          "index=Klaber, Mr. Herman<br>Sex_male=1<br>shap=-0.068",
-          "index=Taylor, Mr. Elmer Zebley<br>Sex_male=1<br>shap=-0.086",
-          "index=Larsson, Mr. August Viktor<br>Sex_male=1<br>shap=-0.069",
-          "index=Greenberg, Mr. Samuel<br>Sex_male=1<br>shap=-0.091",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Sex_male=0<br>shap=0.095",
-          "index=McEvoy, Mr. Michael<br>Sex_male=1<br>shap=-0.097",
-          "index=Johnson, Mr. Malkolm Joackim<br>Sex_male=1<br>shap=-0.071",
-          "index=Gillespie, Mr. William Henry<br>Sex_male=1<br>shap=-0.096",
-          "index=Allen, Miss. Elisabeth Walton<br>Sex_male=0<br>shap=0.115",
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-          "index=Troupiansky, Mr. Moses Aaron<br>Sex_male=1<br>shap=-0.094",
-          "index=Williams, Mr. Leslie<br>Sex_male=1<br>shap=-0.078",
-          "index=Ivanoff, Mr. Kanio<br>Sex_male=1<br>shap=-0.07",
-          "index=McNamee, Mr. Neal<br>Sex_male=1<br>shap=-0.081",
-          "index=Connaghton, Mr. Michael<br>Sex_male=1<br>shap=-0.087",
-          "index=Carlsson, Mr. August Sigfrid<br>Sex_male=1<br>shap=-0.07",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Sex_male=0<br>shap=0.116",
-          "index=Eklund, Mr. Hans Linus<br>Sex_male=1<br>shap=-0.071",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Sex_male=0<br>shap=0.114",
-          "index=Moran, Mr. Daniel J<br>Sex_male=1<br>shap=-0.082",
-          "index=Lievens, Mr. Rene Aime<br>Sex_male=1<br>shap=-0.069",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Sex_male=0<br>shap=0.113",
-          "index=Ayoub, Miss. Banoura<br>Sex_male=0<br>shap=0.142",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Sex_male=0<br>shap=0.112",
-          "index=Johnston, Mr. Andrew G<br>Sex_male=1<br>shap=-0.059",
-          "index=Ali, Mr. William<br>Sex_male=1<br>shap=-0.071",
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-          "index=Carter, Master. William Thornton II<br>Sex_male=1<br>shap=-0.075",
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-          "index=Slemen, Mr. Richard James<br>Sex_male=1<br>shap=-0.086",
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+          "None=Kraeff, Mr. Theodor<br>PassengerClass=3<br>shap=0.012",
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+          "None=Windelov, Mr. Einar<br>PassengerClass=3<br>shap=0.014",
+          "None=Shellard, Mr. Frederick William<br>PassengerClass=3<br>shap=0.015",
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+          "None=Harris, Mr. Henry Birkhardt<br>Embarked=Embarked_Southampton<br>shap=0.005",
+          "None=Skoog, Master. Harald<br>Embarked=Embarked_Southampton<br>shap=0.011",
+          "None=Kink, Mr. Vincenz<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Hood, Mr. Ambrose Jr<br>Embarked=Embarked_Southampton<br>shap=0.007",
+          "None=Ilett, Miss. Bertha<br>Embarked=Embarked_Southampton<br>shap=-0.007",
+          "None=Ford, Mr. William Neal<br>Embarked=Embarked_Southampton<br>shap=0.010",
+          "None=Christmann, Mr. Emil<br>Embarked=Embarked_Southampton<br>shap=0.007",
+          "None=Andreasson, Mr. Paul Edvin<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Chaffee, Mr. Herbert Fuller<br>Embarked=Embarked_Southampton<br>shap=0.006",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=White, Mr. Richard Frasar<br>Embarked=Embarked_Southampton<br>shap=0.005",
+          "None=Rekic, Mr. Tido<br>Embarked=Embarked_Southampton<br>shap=0.007",
+          "None=Barton, Mr. David John<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Jussila, Miss. Katriina<br>Embarked=Embarked_Southampton<br>shap=-0.011",
+          "None=Pekoniemi, Mr. Edvard<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Turpin, Mr. William John Robert<br>Embarked=Embarked_Southampton<br>shap=0.007",
+          "None=Moore, Mr. Leonard Charles<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Osen, Mr. Olaf Elon<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Embarked=Embarked_Southampton<br>shap=0.006",
+          "None=Bateman, Rev. Robert James<br>Embarked=Embarked_Southampton<br>shap=0.005",
+          "None=Meo, Mr. Alfonzo<br>Embarked=Embarked_Southampton<br>shap=0.006",
+          "None=Cribb, Mr. John Hatfield<br>Embarked=Embarked_Southampton<br>shap=0.006",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Embarked=Embarked_Southampton<br>shap=-0.009",
+          "None=Van der hoef, Mr. Wyckoff<br>Embarked=Embarked_Southampton<br>shap=0.005",
+          "None=Sivola, Mr. Antti Wilhelm<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Klasen, Mr. Klas Albin<br>Embarked=Embarked_Southampton<br>shap=0.007",
+          "None=Rood, Mr. Hugh Roscoe<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Embarked=Embarked_Southampton<br>shap=-0.011",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Backstrom, Mr. Karl Alfred<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Ali, Mr. Ahmed<br>Embarked=Embarked_Southampton<br>shap=0.007",
+          "None=Green, Mr. George Henry<br>Embarked=Embarked_Southampton<br>shap=0.006",
+          "None=Nenkoff, Mr. Christo<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Asplund, Miss. Lillian Gertrud<br>Embarked=Embarked_Southampton<br>shap=-0.015",
+          "None=Harknett, Miss. Alice Phoebe<br>Embarked=Embarked_Southampton<br>shap=-0.012",
+          "None=Hunt, Mr. George Henry<br>Embarked=Embarked_Southampton<br>shap=0.006",
+          "None=Reed, Mr. James George<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Stead, Mr. William Thomas<br>Embarked=Embarked_Southampton<br>shap=0.005",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Embarked=Embarked_Southampton<br>shap=-0.006",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Embarked=Embarked_Southampton<br>shap=0.010",
+          "None=Andrews, Miss. Kornelia Theodosia<br>Embarked=Embarked_Southampton<br>shap=-0.005",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Smith, Mr. Richard William<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Sage, Mr. George John Jr<br>Embarked=Embarked_Southampton<br>shap=0.011",
+          "None=Nysveen, Mr. Johan Hansen<br>Embarked=Embarked_Southampton<br>shap=0.006",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Denkoff, Mr. Mitto<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Dimic, Mr. Jovan<br>Embarked=Embarked_Southampton<br>shap=0.007",
+          "None=Beavan, Mr. William Thomas<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Gustafsson, Mr. Karl Gideon<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Plotcharsky, Mr. Vasil<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Goodwin, Master. Sidney Leonard<br>Embarked=Embarked_Southampton<br>shap=0.010",
+          "None=Gustafsson, Mr. Johan Birger<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Embarked=Embarked_Southampton<br>shap=-0.009",
+          "None=Niskanen, Mr. Juha<br>Embarked=Embarked_Southampton<br>shap=0.007",
+          "None=Matthews, Mr. William John<br>Embarked=Embarked_Southampton<br>shap=0.006",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Embarked=Embarked_Southampton<br>shap=-0.008",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Embarked=Embarked_Southampton<br>shap=-0.008",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Peuchen, Major. Arthur Godfrey<br>Embarked=Embarked_Southampton<br>shap=0.004",
+          "None=Anderson, Mr. Harry<br>Embarked=Embarked_Southampton<br>shap=0.005",
+          "None=Milling, Mr. Jacob Christian<br>Embarked=Embarked_Southampton<br>shap=0.005",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Embarked=Embarked_Southampton<br>shap=-0.009",
+          "None=Karlsson, Mr. Nils August<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Embarked=Embarked_Southampton<br>shap=0.007",
+          "None=Windelov, Mr. Einar<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Shellard, Mr. Frederick William<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Svensson, Mr. Olof<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Laitinen, Miss. Kristina Sofia<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Embarked=Embarked_Southampton<br>shap=-0.009",
+          "None=Cacic, Miss. Marija<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Hart, Miss. Eva Miriam<br>Embarked=Embarked_Southampton<br>shap=-0.009",
+          "None=Butt, Major. Archibald Willingham<br>Embarked=Embarked_Southampton<br>shap=0.004",
+          "None=Beane, Mr. Edward<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Goldsmith, Mr. Frank John<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Ohman, Miss. Velin<br>Embarked=Embarked_Southampton<br>shap=-0.011",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Embarked=Embarked_Southampton<br>shap=-0.006",
+          "None=Harris, Mr. George<br>Embarked=Embarked_Southampton<br>shap=0.006",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Embarked=Embarked_Southampton<br>shap=-0.004",
+          "None=Patchett, Mr. George<br>Embarked=Embarked_Southampton<br>shap=0.007",
+          "None=Murdlin, Mr. Joseph<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Daniel, Mr. Robert Williams<br>Embarked=Embarked_Southampton<br>shap=0.007",
+          "None=Shutes, Miss. Elizabeth W<br>Embarked=Embarked_Southampton<br>shap=-0.008",
+          "None=Jardin, Mr. Jose Neto<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Bostandyeff, Mr. Guentcho<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Lundahl, Mr. Johan Svensson<br>Embarked=Embarked_Southampton<br>shap=0.006",
+          "None=Willey, Mr. Edward<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>Embarked=Embarked_Southampton<br>shap=-0.011",
+          "None=Eitemiller, Mr. George Floyd<br>Embarked=Embarked_Southampton<br>shap=0.006",
+          "None=Colley, Mr. Edward Pomeroy<br>Embarked=Embarked_Southampton<br>shap=0.005",
+          "None=Coleff, Mr. Peju<br>Embarked=Embarked_Southampton<br>shap=0.007",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Embarked=Embarked_Southampton<br>shap=-0.008",
+          "None=Davidson, Mr. Thornton<br>Embarked=Embarked_Southampton<br>shap=0.007",
+          "None=Turja, Miss. Anna Sofia<br>Embarked=Embarked_Southampton<br>shap=-0.011",
+          "None=Goodwin, Mr. Charles Edward<br>Embarked=Embarked_Southampton<br>shap=0.010",
+          "None=Panula, Mr. Jaako Arnold<br>Embarked=Embarked_Southampton<br>shap=0.010",
+          "None=Fischer, Mr. Eberhard Thelander<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Embarked=Embarked_Southampton<br>shap=0.007",
+          "None=Hansen, Mr. Henrik Juul<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Calderhead, Mr. Edward Pennington<br>Embarked=Embarked_Southampton<br>shap=0.006",
+          "None=Klaber, Mr. Herman<br>Embarked=Embarked_Southampton<br>shap=0.007",
+          "None=Taylor, Mr. Elmer Zebley<br>Embarked=Embarked_Southampton<br>shap=0.005",
+          "None=Larsson, Mr. August Viktor<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Greenberg, Mr. Samuel<br>Embarked=Embarked_Southampton<br>shap=0.005",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>Embarked=Embarked_Southampton<br>shap=-0.009",
+          "None=Johnson, Mr. Malkolm Joackim<br>Embarked=Embarked_Southampton<br>shap=0.007",
+          "None=Gillespie, Mr. William Henry<br>Embarked=Embarked_Southampton<br>shap=0.006",
+          "None=Allen, Miss. Elisabeth Walton<br>Embarked=Embarked_Southampton<br>shap=-0.007",
+          "None=Berriman, Mr. William John<br>Embarked=Embarked_Southampton<br>shap=0.006",
+          "None=Troupiansky, Mr. Moses Aaron<br>Embarked=Embarked_Southampton<br>shap=0.006",
+          "None=Williams, Mr. Leslie<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Ivanoff, Mr. Kanio<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=McNamee, Mr. Neal<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Carlsson, Mr. August Sigfrid<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Embarked=Embarked_Southampton<br>shap=-0.005",
+          "None=Eklund, Mr. Hans Linus<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Hogeboom, Mrs. John C (Anna Andrews)<br>Embarked=Embarked_Southampton<br>shap=-0.003",
+          "None=Lievens, Mr. Rene Aime<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Embarked=Embarked_Southampton<br>shap=-0.005",
+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Embarked=Embarked_Southampton<br>shap=-0.008",
+          "None=Johnston, Mr. Andrew G<br>Embarked=Embarked_Southampton<br>shap=0.010",
+          "None=Ali, Mr. William<br>Embarked=Embarked_Southampton<br>shap=0.007",
+          "None=Sjoblom, Miss. Anna Sofia<br>Embarked=Embarked_Southampton<br>shap=-0.011",
+          "None=Leader, Dr. Alice (Farnham)<br>Embarked=Embarked_Southampton<br>shap=-0.003",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Embarked=Embarked_Southampton<br>shap=-0.008",
+          "None=Carter, Master. William Thornton II<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Johansson, Mr. Karl Johan<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Slemen, Mr. Richard James<br>Embarked=Embarked_Southampton<br>shap=0.007",
+          "None=Tomlin, Mr. Ernest Portage<br>Embarked=Embarked_Southampton<br>shap=0.008",
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+          "None=Mudd, Mr. Thomas Charles<br>Embarked=Embarked_Southampton<br>shap=0.007",
+          "None=Sage, Mr. Douglas Bullen<br>Embarked=Embarked_Southampton<br>shap=0.011",
+          "None=Aks, Mrs. Sam (Leah Rosen)<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Johnson, Master. Harold Theodor<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Carlsson, Mr. Frans Olof<br>Embarked=Embarked_Southampton<br>shap=0.004",
+          "None=Gustafsson, Mr. Alfred Ossian<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Montvila, Rev. Juozas<br>Embarked=Embarked_Southampton<br>shap=0.006"
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-          "index=Pekoniemi, Mr. Edvard<br>Sex_female=0<br>shap=-0.068",
-          "index=Turpin, Mr. William John Robert<br>Sex_female=0<br>shap=-0.094",
-          "index=Moore, Mr. Leonard Charles<br>Sex_female=0<br>shap=-0.065",
-          "index=Osen, Mr. Olaf Elon<br>Sex_female=0<br>shap=-0.067",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Sex_female=1<br>shap=0.088",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Sex_female=0<br>shap=-0.087",
-          "index=Bateman, Rev. Robert James<br>Sex_female=0<br>shap=-0.089",
-          "index=Meo, Mr. Alfonzo<br>Sex_female=0<br>shap=-0.069",
-          "index=Cribb, Mr. John Hatfield<br>Sex_female=0<br>shap=-0.076",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Sex_female=1<br>shap=0.112",
-          "index=Van der hoef, Mr. Wyckoff<br>Sex_female=0<br>shap=-0.089",
-          "index=Sivola, Mr. Antti Wilhelm<br>Sex_female=0<br>shap=-0.068",
-          "index=Klasen, Mr. Klas Albin<br>Sex_female=0<br>shap=-0.066",
-          "index=Rood, Mr. Hugh Roscoe<br>Sex_female=0<br>shap=-0.08",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Sex_female=1<br>shap=0.131",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Sex_female=1<br>shap=0.138",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Sex_female=0<br>shap=-0.069",
-          "index=Backstrom, Mr. Karl Alfred<br>Sex_female=0<br>shap=-0.075",
-          "index=Blank, Mr. Henry<br>Sex_female=0<br>shap=-0.074",
-          "index=Ali, Mr. Ahmed<br>Sex_female=0<br>shap=-0.069",
-          "index=Green, Mr. George Henry<br>Sex_female=0<br>shap=-0.069",
-          "index=Nenkoff, Mr. Christo<br>Sex_female=0<br>shap=-0.066",
-          "index=Asplund, Miss. Lillian Gertrud<br>Sex_female=1<br>shap=0.075",
-          "index=Harknett, Miss. Alice Phoebe<br>Sex_female=1<br>shap=0.14",
-          "index=Hunt, Mr. George Henry<br>Sex_female=0<br>shap=-0.09",
-          "index=Reed, Mr. James George<br>Sex_female=0<br>shap=-0.067",
-          "index=Stead, Mr. William Thomas<br>Sex_female=0<br>shap=-0.085",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Sex_female=1<br>shap=0.138",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Sex_female=1<br>shap=0.174",
-          "index=Smith, Mr. Thomas<br>Sex_female=0<br>shap=-0.076",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Sex_female=0<br>shap=-0.039",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Sex_female=1<br>shap=0.147",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Sex_female=1<br>shap=0.14",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Sex_female=1<br>shap=0.125",
-          "index=Smith, Mr. Richard William<br>Sex_female=0<br>shap=-0.077",
-          "index=Connolly, Miss. Kate<br>Sex_female=1<br>shap=0.143",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Sex_female=1<br>shap=0.124",
-          "index=Levy, Mr. Rene Jacques<br>Sex_female=0<br>shap=-0.082",
-          "index=Lewy, Mr. Ervin G<br>Sex_female=0<br>shap=-0.081",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Sex_female=0<br>shap=-0.065",
-          "index=Sage, Mr. George John Jr<br>Sex_female=0<br>shap=-0.039",
-          "index=Nysveen, Mr. Johan Hansen<br>Sex_female=0<br>shap=-0.07",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Sex_female=1<br>shap=0.138",
-          "index=Denkoff, Mr. Mitto<br>Sex_female=0<br>shap=-0.066",
-          "index=Burns, Miss. Elizabeth Margaret<br>Sex_female=1<br>shap=0.121",
-          "index=Dimic, Mr. Jovan<br>Sex_female=0<br>shap=-0.069",
-          "index=del Carlo, Mr. Sebastiano<br>Sex_female=0<br>shap=-0.082",
-          "index=Beavan, Mr. William Thomas<br>Sex_female=0<br>shap=-0.068",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Sex_female=1<br>shap=0.126",
-          "index=Widener, Mr. Harry Elkins<br>Sex_female=0<br>shap=-0.078",
-          "index=Gustafsson, Mr. Karl Gideon<br>Sex_female=0<br>shap=-0.069",
-          "index=Plotcharsky, Mr. Vasil<br>Sex_female=0<br>shap=-0.066",
-          "index=Goodwin, Master. Sidney Leonard<br>Sex_female=0<br>shap=-0.039",
-          "index=Sadlier, Mr. Matthew<br>Sex_female=0<br>shap=-0.076",
-          "index=Gustafsson, Mr. Johan Birger<br>Sex_female=0<br>shap=-0.069",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Sex_female=1<br>shap=0.09",
-          "index=Niskanen, Mr. Juha<br>Sex_female=0<br>shap=-0.068",
-          "index=Minahan, Miss. Daisy E<br>Sex_female=1<br>shap=0.139",
-          "index=Matthews, Mr. William John<br>Sex_female=0<br>shap=-0.089",
-          "index=Charters, Mr. David<br>Sex_female=0<br>shap=-0.076",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Sex_female=1<br>shap=0.17",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Sex_female=1<br>shap=0.157",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Sex_female=0<br>shap=-0.065",
-          "index=Peuchen, Major. Arthur Godfrey<br>Sex_female=0<br>shap=-0.082",
-          "index=Anderson, Mr. Harry<br>Sex_female=0<br>shap=-0.076",
-          "index=Milling, Mr. Jacob Christian<br>Sex_female=0<br>shap=-0.089",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Sex_female=1<br>shap=0.151",
-          "index=Karlsson, Mr. Nils August<br>Sex_female=0<br>shap=-0.069",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Sex_female=0<br>shap=-0.08",
-          "index=Bishop, Mr. Dickinson H<br>Sex_female=0<br>shap=-0.087",
-          "index=Windelov, Mr. Einar<br>Sex_female=0<br>shap=-0.069",
-          "index=Shellard, Mr. Frederick William<br>Sex_female=0<br>shap=-0.069",
-          "index=Svensson, Mr. Olof<br>Sex_female=0<br>shap=-0.069",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Sex_female=1<br>shap=0.152",
-          "index=Laitinen, Miss. Kristina Sofia<br>Sex_female=1<br>shap=0.139",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Sex_female=0<br>shap=-0.076",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Sex_female=0<br>shap=-0.086",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Sex_female=1<br>shap=0.166",
-          "index=Kassem, Mr. Fared<br>Sex_female=0<br>shap=-0.069",
-          "index=Cacic, Miss. Marija<br>Sex_female=1<br>shap=0.142",
-          "index=Hart, Miss. Eva Miriam<br>Sex_female=1<br>shap=0.133",
-          "index=Butt, Major. Archibald Willingham<br>Sex_female=0<br>shap=-0.09",
-          "index=Beane, Mr. Edward<br>Sex_female=0<br>shap=-0.094",
-          "index=Goldsmith, Mr. Frank John<br>Sex_female=0<br>shap=-0.075",
-          "index=Ohman, Miss. Velin<br>Sex_female=1<br>shap=0.141",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Sex_female=1<br>shap=0.135",
-          "index=Morrow, Mr. Thomas Rowan<br>Sex_female=0<br>shap=-0.076",
-          "index=Harris, Mr. George<br>Sex_female=0<br>shap=-0.083",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Sex_female=1<br>shap=0.152",
-          "index=Patchett, Mr. George<br>Sex_female=0<br>shap=-0.073",
-          "index=Ross, Mr. John Hugo<br>Sex_female=0<br>shap=-0.077",
-          "index=Murdlin, Mr. Joseph<br>Sex_female=0<br>shap=-0.065",
-          "index=Bourke, Miss. Mary<br>Sex_female=1<br>shap=0.103",
-          "index=Boulos, Mr. Hanna<br>Sex_female=0<br>shap=-0.069",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Sex_female=0<br>shap=-0.084",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Sex_female=0<br>shap=-0.084",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Sex_female=0<br>shap=-0.077",
-          "index=Daniel, Mr. Robert Williams<br>Sex_female=0<br>shap=-0.091",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Sex_female=1<br>shap=0.127",
-          "index=Shutes, Miss. Elizabeth W<br>Sex_female=1<br>shap=0.148",
-          "index=Jardin, Mr. Jose Neto<br>Sex_female=0<br>shap=-0.067",
-          "index=Horgan, Mr. John<br>Sex_female=0<br>shap=-0.076",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Sex_female=1<br>shap=0.134",
-          "index=Yasbeck, Mr. Antoni<br>Sex_female=0<br>shap=-0.07",
-          "index=Bostandyeff, Mr. Guentcho<br>Sex_female=0<br>shap=-0.069",
-          "index=Lundahl, Mr. Johan Svensson<br>Sex_female=0<br>shap=-0.07",
-          "index=Stahelin-Maeglin, Dr. Max<br>Sex_female=0<br>shap=-0.088",
-          "index=Willey, Mr. Edward<br>Sex_female=0<br>shap=-0.067",
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-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Sex_female=1<br>shap=0.154",
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-          "index=Colley, Mr. Edward Pomeroy<br>Sex_female=0<br>shap=-0.075",
-          "index=Coleff, Mr. Peju<br>Sex_female=0<br>shap=-0.071",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Sex_female=1<br>shap=0.154",
-          "index=Davidson, Mr. Thornton<br>Sex_female=0<br>shap=-0.09",
-          "index=Turja, Miss. Anna Sofia<br>Sex_female=1<br>shap=0.132",
-          "index=Hassab, Mr. Hammad<br>Sex_female=0<br>shap=-0.081",
-          "index=Goodwin, Mr. Charles Edward<br>Sex_female=0<br>shap=-0.049",
-          "index=Panula, Mr. Jaako Arnold<br>Sex_female=0<br>shap=-0.049",
-          "index=Fischer, Mr. Eberhard Thelander<br>Sex_female=0<br>shap=-0.069",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Sex_female=0<br>shap=-0.072",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Sex_female=1<br>shap=0.118",
-          "index=Hansen, Mr. Henrik Juul<br>Sex_female=0<br>shap=-0.07",
-          "index=Calderhead, Mr. Edward Pennington<br>Sex_female=0<br>shap=-0.076",
-          "index=Klaber, Mr. Herman<br>Sex_female=0<br>shap=-0.079",
-          "index=Taylor, Mr. Elmer Zebley<br>Sex_female=0<br>shap=-0.092",
-          "index=Larsson, Mr. August Viktor<br>Sex_female=0<br>shap=-0.069",
-          "index=Greenberg, Mr. Samuel<br>Sex_female=0<br>shap=-0.089",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Sex_female=1<br>shap=0.117",
-          "index=McEvoy, Mr. Michael<br>Sex_female=0<br>shap=-0.078",
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-          "index=Gillespie, Mr. William Henry<br>Sex_female=0<br>shap=-0.09",
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-          "index=Carlsson, Mr. August Sigfrid<br>Sex_female=0<br>shap=-0.07",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Sex_female=1<br>shap=0.153",
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-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Sex_female=1<br>shap=0.14",
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-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Sex_female=1<br>shap=0.135",
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-          "index=Ali, Mr. William<br>Sex_female=0<br>shap=-0.069",
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+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>No_of_parents_plus_children_on_board=0<br>shap=0.009",
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+          "None=Glynn, Miss. Mary Agatha<br>No_of_parents_plus_children_on_board=0<br>shap=0.012",
+          "None=Meyer, Mr. Edgar Joseph<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Kraeff, Mr. Theodor<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Devaney, Miss. Margaret Delia<br>No_of_parents_plus_children_on_board=0<br>shap=0.010",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>No_of_parents_plus_children_on_board=0<br>shap=0.009",
+          "None=Rugg, Miss. Emily<br>No_of_parents_plus_children_on_board=0<br>shap=0.010",
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+          "None=Hunt, Mr. George Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
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+          "None=Parrish, Mrs. (Lutie Davis)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.018",
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+          "None=Andrews, Miss. Kornelia Theodosia<br>No_of_parents_plus_children_on_board=0<br>shap=0.008",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.012",
+          "None=Smith, Mr. Richard William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Connolly, Miss. Kate<br>No_of_parents_plus_children_on_board=0<br>shap=0.010",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_parents_plus_children_on_board=0<br>shap=0.008",
+          "None=Levy, Mr. Rene Jacques<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Lewy, Mr. Ervin G<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Sage, Mr. George John Jr<br>No_of_parents_plus_children_on_board=2<br>shap=0.014",
+          "None=Nysveen, Mr. Johan Hansen<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_parents_plus_children_on_board=0<br>shap=0.009",
+          "None=Denkoff, Mr. Mitto<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Burns, Miss. Elizabeth Margaret<br>No_of_parents_plus_children_on_board=0<br>shap=0.007",
+          "None=Dimic, Mr. Jovan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=del Carlo, Mr. Sebastiano<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Beavan, Mr. William Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_parents_plus_children_on_board=0<br>shap=0.009",
+          "None=Widener, Mr. Harry Elkins<br>No_of_parents_plus_children_on_board=2<br>shap=0.011",
+          "None=Gustafsson, Mr. Karl Gideon<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Plotcharsky, Mr. Vasil<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Goodwin, Master. Sidney Leonard<br>No_of_parents_plus_children_on_board=2<br>shap=0.015",
+          "None=Sadlier, Mr. Matthew<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
+          "None=Gustafsson, Mr. Johan Birger<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_parents_plus_children_on_board=2<br>shap=-0.031",
+          "None=Niskanen, Mr. Juha<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Minahan, Miss. Daisy E<br>No_of_parents_plus_children_on_board=0<br>shap=0.008",
+          "None=Matthews, Mr. William John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Charters, Mr. David<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_parents_plus_children_on_board=0<br>shap=0.009",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.014",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Peuchen, Major. Arthur Godfrey<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Anderson, Mr. Harry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Milling, Mr. Jacob Christian<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_parents_plus_children_on_board=2<br>shap=-0.024",
+          "None=Karlsson, Mr. Nils August<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
+          "None=Bishop, Mr. Dickinson H<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Windelov, Mr. Einar<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Shellard, Mr. Frederick William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Svensson, Mr. Olof<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=O'Sullivan, Miss. Bridget Mary<br>No_of_parents_plus_children_on_board=0<br>shap=0.012",
+          "None=Laitinen, Miss. Kristina Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=0.009",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_parents_plus_children_on_board=0<br>shap=0.009",
+          "None=Kassem, Mr. Fared<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Cacic, Miss. Marija<br>No_of_parents_plus_children_on_board=0<br>shap=0.009",
+          "None=Hart, Miss. Eva Miriam<br>No_of_parents_plus_children_on_board=2<br>shap=-0.033",
+          "None=Butt, Major. Archibald Willingham<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Beane, Mr. Edward<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Goldsmith, Mr. Frank John<br>No_of_parents_plus_children_on_board=1<br>shap=0.005",
+          "None=Ohman, Miss. Velin<br>No_of_parents_plus_children_on_board=0<br>shap=0.009",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.009",
+          "None=Morrow, Mr. Thomas Rowan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
+          "None=Harris, Mr. George<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_parents_plus_children_on_board=0<br>shap=0.008",
+          "None=Patchett, Mr. George<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Ross, Mr. John Hugo<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Murdlin, Mr. Joseph<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Bourke, Miss. Mary<br>No_of_parents_plus_children_on_board=2<br>shap=-0.044",
+          "None=Boulos, Mr. Hanna<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Lindell, Mr. Edvard Bengtsson<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Daniel, Mr. Robert Williams<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_parents_plus_children_on_board=2<br>shap=-0.025",
+          "None=Shutes, Miss. Elizabeth W<br>No_of_parents_plus_children_on_board=0<br>shap=0.009",
+          "None=Jardin, Mr. Jose Neto<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Horgan, Mr. John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_parents_plus_children_on_board=0<br>shap=0.009",
+          "None=Yasbeck, Mr. Antoni<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Bostandyeff, Mr. Guentcho<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Lundahl, Mr. Johan Svensson<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Stahelin-Maeglin, Dr. Max<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Willey, Mr. Edward<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>No_of_parents_plus_children_on_board=0<br>shap=0.010",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.010",
+          "None=Eitemiller, Mr. George Floyd<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Colley, Mr. Edward Pomeroy<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Coleff, Mr. Peju<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.014",
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+          "None=Turja, Miss. Anna Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=0.009",
+          "None=Hassab, Mr. Hammad<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Goodwin, Mr. Charles Edward<br>No_of_parents_plus_children_on_board=2<br>shap=0.011",
+          "None=Panula, Mr. Jaako Arnold<br>No_of_parents_plus_children_on_board=1<br>shap=0.005",
+          "None=Fischer, Mr. Eberhard Thelander<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_parents_plus_children_on_board=0<br>shap=0.008",
+          "None=Hansen, Mr. Henrik Juul<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Calderhead, Mr. Edward Pennington<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Klaber, Mr. Herman<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
+          "None=Taylor, Mr. Elmer Zebley<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Larsson, Mr. August Viktor<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Greenberg, Mr. Samuel<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.009",
+          "None=McEvoy, Mr. Michael<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
+          "None=Johnson, Mr. Malkolm Joackim<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Gillespie, Mr. William Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
+          "None=Allen, Miss. Elisabeth Walton<br>No_of_parents_plus_children_on_board=0<br>shap=0.007",
+          "None=Berriman, Mr. William John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
+          "None=Troupiansky, Mr. Moses Aaron<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
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-          "index=Lindell, Mr. Edvard Bengtsson<br>Deck_Unkown=1<br>shap=-0.038",
-          "index=Daniel, Mr. Robert Williams<br>Deck_Unkown=1<br>shap=-0.041",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Deck_Unkown=1<br>shap=-0.024",
-          "index=Shutes, Miss. Elizabeth W<br>Deck_Unkown=0<br>shap=0.057",
-          "index=Jardin, Mr. Jose Neto<br>Deck_Unkown=1<br>shap=-0.025",
-          "index=Horgan, Mr. John<br>Deck_Unkown=1<br>shap=-0.022",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Deck_Unkown=1<br>shap=-0.025",
-          "index=Yasbeck, Mr. Antoni<br>Deck_Unkown=1<br>shap=-0.038",
-          "index=Bostandyeff, Mr. Guentcho<br>Deck_Unkown=1<br>shap=-0.025",
-          "index=Lundahl, Mr. Johan Svensson<br>Deck_Unkown=1<br>shap=-0.022",
-          "index=Stahelin-Maeglin, Dr. Max<br>Deck_Unkown=0<br>shap=0.115",
-          "index=Willey, Mr. Edward<br>Deck_Unkown=1<br>shap=-0.025",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Deck_Unkown=1<br>shap=-0.015",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Deck_Unkown=1<br>shap=-0.012",
-          "index=Eitemiller, Mr. George Floyd<br>Deck_Unkown=1<br>shap=-0.037",
-          "index=Colley, Mr. Edward Pomeroy<br>Deck_Unkown=0<br>shap=0.139",
-          "index=Coleff, Mr. Peju<br>Deck_Unkown=1<br>shap=-0.023",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Deck_Unkown=1<br>shap=-0.023",
-          "index=Davidson, Mr. Thornton<br>Deck_Unkown=0<br>shap=0.125",
-          "index=Turja, Miss. Anna Sofia<br>Deck_Unkown=1<br>shap=-0.019",
-          "index=Hassab, Mr. Hammad<br>Deck_Unkown=0<br>shap=0.123",
-          "index=Goodwin, Mr. Charles Edward<br>Deck_Unkown=1<br>shap=-0.038",
-          "index=Panula, Mr. Jaako Arnold<br>Deck_Unkown=1<br>shap=-0.04",
-          "index=Fischer, Mr. Eberhard Thelander<br>Deck_Unkown=1<br>shap=-0.026",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Deck_Unkown=0<br>shap=0.092",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Deck_Unkown=0<br>shap=0.071",
-          "index=Hansen, Mr. Henrik Juul<br>Deck_Unkown=1<br>shap=-0.029",
-          "index=Calderhead, Mr. Edward Pennington<br>Deck_Unkown=0<br>shap=0.138",
-          "index=Klaber, Mr. Herman<br>Deck_Unkown=0<br>shap=0.135",
-          "index=Taylor, Mr. Elmer Zebley<br>Deck_Unkown=0<br>shap=0.115",
-          "index=Larsson, Mr. August Viktor<br>Deck_Unkown=1<br>shap=-0.027",
-          "index=Greenberg, Mr. Samuel<br>Deck_Unkown=1<br>shap=-0.034",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Deck_Unkown=0<br>shap=0.088",
-          "index=McEvoy, Mr. Michael<br>Deck_Unkown=1<br>shap=-0.032",
-          "index=Johnson, Mr. Malkolm Joackim<br>Deck_Unkown=1<br>shap=-0.024",
-          "index=Gillespie, Mr. William Henry<br>Deck_Unkown=1<br>shap=-0.036",
-          "index=Allen, Miss. Elisabeth Walton<br>Deck_Unkown=0<br>shap=0.063",
-          "index=Berriman, Mr. William John<br>Deck_Unkown=1<br>shap=-0.037",
-          "index=Troupiansky, Mr. Moses Aaron<br>Deck_Unkown=1<br>shap=-0.037",
-          "index=Williams, Mr. Leslie<br>Deck_Unkown=1<br>shap=-0.035",
-          "index=Ivanoff, Mr. Kanio<br>Deck_Unkown=1<br>shap=-0.026",
-          "index=McNamee, Mr. Neal<br>Deck_Unkown=1<br>shap=-0.039",
-          "index=Connaghton, Mr. Michael<br>Deck_Unkown=1<br>shap=-0.021",
-          "index=Carlsson, Mr. August Sigfrid<br>Deck_Unkown=1<br>shap=-0.024",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Deck_Unkown=0<br>shap=0.068",
-          "index=Eklund, Mr. Hans Linus<br>Deck_Unkown=1<br>shap=-0.026",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Deck_Unkown=0<br>shap=0.069",
-          "index=Moran, Mr. Daniel J<br>Deck_Unkown=1<br>shap=-0.035",
-          "index=Lievens, Mr. Rene Aime<br>Deck_Unkown=1<br>shap=-0.028",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Deck_Unkown=0<br>shap=0.064",
-          "index=Ayoub, Miss. Banoura<br>Deck_Unkown=1<br>shap=-0.014",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Deck_Unkown=0<br>shap=0.08",
-          "index=Johnston, Mr. Andrew G<br>Deck_Unkown=1<br>shap=-0.037",
-          "index=Ali, Mr. William<br>Deck_Unkown=1<br>shap=-0.024",
-          "index=Sjoblom, Miss. Anna Sofia<br>Deck_Unkown=1<br>shap=-0.016",
-          "index=Guggenheim, Mr. Benjamin<br>Deck_Unkown=0<br>shap=0.1",
-          "index=Leader, Dr. Alice (Farnham)<br>Deck_Unkown=0<br>shap=0.074",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Deck_Unkown=1<br>shap=-0.025",
-          "index=Carter, Master. William Thornton II<br>Deck_Unkown=0<br>shap=0.101",
-          "index=Thomas, Master. Assad Alexander<br>Deck_Unkown=1<br>shap=-0.032",
-          "index=Johansson, Mr. Karl Johan<br>Deck_Unkown=1<br>shap=-0.023",
-          "index=Slemen, Mr. Richard James<br>Deck_Unkown=1<br>shap=-0.036",
-          "index=Tomlin, Mr. Ernest Portage<br>Deck_Unkown=1<br>shap=-0.027",
-          "index=McCormack, Mr. Thomas Joseph<br>Deck_Unkown=1<br>shap=-0.022",
-          "index=Richards, Master. George Sibley<br>Deck_Unkown=1<br>shap=-0.037",
-          "index=Mudd, Mr. Thomas Charles<br>Deck_Unkown=1<br>shap=-0.04",
-          "index=Lemberopolous, Mr. Peter L<br>Deck_Unkown=1<br>shap=-0.024",
-          "index=Sage, Mr. Douglas Bullen<br>Deck_Unkown=1<br>shap=-0.038",
-          "index=Boulos, Miss. Nourelain<br>Deck_Unkown=1<br>shap=-0.026",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Deck_Unkown=1<br>shap=-0.021",
-          "index=Razi, Mr. Raihed<br>Deck_Unkown=1<br>shap=-0.026",
-          "index=Johnson, Master. Harold Theodor<br>Deck_Unkown=1<br>shap=-0.034",
-          "index=Carlsson, Mr. Frans Olof<br>Deck_Unkown=0<br>shap=0.095",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Deck_Unkown=1<br>shap=-0.029",
-          "index=Montvila, Rev. Juozas<br>Deck_Unkown=1<br>shap=-0.037"
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+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Deck=Deck_Unkown<br>shap=0.006",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>Deck=Deck_Unkown<br>shap=0.007",
+          "None=Saundercock, Mr. William Henry<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>Deck=Deck_Unkown<br>shap=0.006",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Deck=Deck_Unkown<br>shap=-0.000",
+          "None=Glynn, Miss. Mary Agatha<br>Deck=Deck_Unkown<br>shap=0.005",
+          "None=Meyer, Mr. Edgar Joseph<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Kraeff, Mr. Theodor<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Devaney, Miss. Margaret Delia<br>Deck=Deck_Unkown<br>shap=0.006",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Deck=Deck_Unkown<br>shap=0.003",
+          "None=Rugg, Miss. Emily<br>Deck=Deck_Unkown<br>shap=0.008",
+          "None=Skoog, Master. Harald<br>Deck=Deck_Unkown<br>shap=0.001",
+          "None=Kink, Mr. Vincenz<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Hood, Mr. Ambrose Jr<br>Deck=Deck_Unkown<br>shap=-0.000",
+          "None=Ilett, Miss. Bertha<br>Deck=Deck_Unkown<br>shap=0.009",
+          "None=Ford, Mr. William Neal<br>Deck=Deck_Unkown<br>shap=0.000",
+          "None=Christmann, Mr. Emil<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Andreasson, Mr. Paul Edvin<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Rekic, Mr. Tido<br>Deck=Deck_Unkown<br>shap=-0.000",
+          "None=Moran, Miss. Bertha<br>Deck=Deck_Unkown<br>shap=0.003",
+          "None=Barton, Mr. David John<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Jussila, Miss. Katriina<br>Deck=Deck_Unkown<br>shap=0.006",
+          "None=Pekoniemi, Mr. Edvard<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Turpin, Mr. William John Robert<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Moore, Mr. Leonard Charles<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Osen, Mr. Olaf Elon<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Deck=Deck_Unkown<br>shap=0.001",
+          "None=Bateman, Rev. Robert James<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Meo, Mr. Alfonzo<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Cribb, Mr. John Hatfield<br>Deck=Deck_Unkown<br>shap=0.001",
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+          "None=Klasen, Mr. Klas Albin<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Deck=Deck_Unkown<br>shap=0.005",
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+          "None=Backstrom, Mr. Karl Alfred<br>Deck=Deck_Unkown<br>shap=-0.000",
+          "None=Ali, Mr. Ahmed<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Green, Mr. George Henry<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Nenkoff, Mr. Christo<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Asplund, Miss. Lillian Gertrud<br>Deck=Deck_Unkown<br>shap=-0.000",
+          "None=Harknett, Miss. Alice Phoebe<br>Deck=Deck_Unkown<br>shap=0.006",
+          "None=Hunt, Mr. George Henry<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Reed, Mr. James George<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Deck=Deck_Unkown<br>shap=0.007",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Deck=Deck_Unkown<br>shap=0.004",
+          "None=Smith, Mr. Thomas<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Deck=Deck_Unkown<br>shap=0.001",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Deck=Deck_Unkown<br>shap=0.005",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Deck=Deck_Unkown<br>shap=0.003",
+          "None=Connolly, Miss. Kate<br>Deck=Deck_Unkown<br>shap=0.005",
+          "None=Lewy, Mr. Ervin G<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Sage, Mr. George John Jr<br>Deck=Deck_Unkown<br>shap=0.001",
+          "None=Nysveen, Mr. Johan Hansen<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Deck=Deck_Unkown<br>shap=0.004",
+          "None=Denkoff, Mr. Mitto<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Dimic, Mr. Jovan<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=del Carlo, Mr. Sebastiano<br>Deck=Deck_Unkown<br>shap=-0.003",
+          "None=Beavan, Mr. William Thomas<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Deck=Deck_Unkown<br>shap=0.007",
+          "None=Gustafsson, Mr. Karl Gideon<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Plotcharsky, Mr. Vasil<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Goodwin, Master. Sidney Leonard<br>Deck=Deck_Unkown<br>shap=0.001",
+          "None=Sadlier, Mr. Matthew<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Gustafsson, Mr. Johan Birger<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Niskanen, Mr. Juha<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Matthews, Mr. William John<br>Deck=Deck_Unkown<br>shap=-0.000",
+          "None=Charters, Mr. David<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Deck=Deck_Unkown<br>shap=0.005",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Deck=Deck_Unkown<br>shap=0.004",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Milling, Mr. Jacob Christian<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Deck=Deck_Unkown<br>shap=0.005",
+          "None=Karlsson, Mr. Nils August<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Windelov, Mr. Einar<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Shellard, Mr. Frederick William<br>Deck=Deck_Unkown<br>shap=-0.000",
+          "None=Svensson, Mr. Olof<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=O'Sullivan, Miss. Bridget Mary<br>Deck=Deck_Unkown<br>shap=0.005",
+          "None=Laitinen, Miss. Kristina Sofia<br>Deck=Deck_Unkown<br>shap=0.005",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Deck=Deck_Unkown<br>shap=-0.000",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Deck=Deck_Unkown<br>shap=0.005",
+          "None=Kassem, Mr. Fared<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Cacic, Miss. Marija<br>Deck=Deck_Unkown<br>shap=0.006",
+          "None=Hart, Miss. Eva Miriam<br>Deck=Deck_Unkown<br>shap=0.005",
+          "None=Beane, Mr. Edward<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Goldsmith, Mr. Frank John<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Ohman, Miss. Velin<br>Deck=Deck_Unkown<br>shap=0.005",
+          "None=Morrow, Mr. Thomas Rowan<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Harris, Mr. George<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Patchett, Mr. George<br>Deck=Deck_Unkown<br>shap=-0.000",
+          "None=Murdlin, Mr. Joseph<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Bourke, Miss. Mary<br>Deck=Deck_Unkown<br>shap=0.004",
+          "None=Boulos, Mr. Hanna<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Deck=Deck_Unkown<br>shap=-0.000",
+          "None=Daniel, Mr. Robert Williams<br>Deck=Deck_Unkown<br>shap=0.001",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Deck=Deck_Unkown<br>shap=0.007",
+          "None=Jardin, Mr. Jose Neto<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Horgan, Mr. John<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Deck=Deck_Unkown<br>shap=0.003",
+          "None=Yasbeck, Mr. Antoni<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Bostandyeff, Mr. Guentcho<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Lundahl, Mr. Johan Svensson<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Willey, Mr. Edward<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>Deck=Deck_Unkown<br>shap=0.005",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>Deck=Deck_Unkown<br>shap=0.006",
+          "None=Eitemiller, Mr. George Floyd<br>Deck=Deck_Unkown<br>shap=-0.000",
+          "None=Coleff, Mr. Peju<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Deck=Deck_Unkown<br>shap=0.004",
+          "None=Turja, Miss. Anna Sofia<br>Deck=Deck_Unkown<br>shap=0.006",
+          "None=Goodwin, Mr. Charles Edward<br>Deck=Deck_Unkown<br>shap=0.002",
+          "None=Panula, Mr. Jaako Arnold<br>Deck=Deck_Unkown<br>shap=0.002",
+          "None=Fischer, Mr. Eberhard Thelander<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Hansen, Mr. Henrik Juul<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Larsson, Mr. August Viktor<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Greenberg, Mr. Samuel<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=McEvoy, Mr. Michael<br>Deck=Deck_Unkown<br>shap=-0.000",
+          "None=Johnson, Mr. Malkolm Joackim<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Gillespie, Mr. William Henry<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Berriman, Mr. William John<br>Deck=Deck_Unkown<br>shap=-0.000",
+          "None=Troupiansky, Mr. Moses Aaron<br>Deck=Deck_Unkown<br>shap=-0.000",
+          "None=Williams, Mr. Leslie<br>Deck=Deck_Unkown<br>shap=-0.000",
+          "None=Ivanoff, Mr. Kanio<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=McNamee, Mr. Neal<br>Deck=Deck_Unkown<br>shap=-0.000",
+          "None=Connaghton, Mr. Michael<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Carlsson, Mr. August Sigfrid<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Eklund, Mr. Hans Linus<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Moran, Mr. Daniel J<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Lievens, Mr. Rene Aime<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Ayoub, Miss. Banoura<br>Deck=Deck_Unkown<br>shap=0.005",
+          "None=Johnston, Mr. Andrew G<br>Deck=Deck_Unkown<br>shap=0.000",
+          "None=Ali, Mr. William<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Sjoblom, Miss. Anna Sofia<br>Deck=Deck_Unkown<br>shap=0.005",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Deck=Deck_Unkown<br>shap=0.005",
+          "None=Thomas, Master. Assad Alexander<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Johansson, Mr. Karl Johan<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Slemen, Mr. Richard James<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Tomlin, Mr. Ernest Portage<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=McCormack, Mr. Thomas Joseph<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Richards, Master. George Sibley<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Mudd, Mr. Thomas Charles<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Lemberopolous, Mr. Peter L<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Sage, Mr. Douglas Bullen<br>Deck=Deck_Unkown<br>shap=0.001",
+          "None=Boulos, Miss. Nourelain<br>Deck=Deck_Unkown<br>shap=0.004",
+          "None=Aks, Mrs. Sam (Leah Rosen)<br>Deck=Deck_Unkown<br>shap=0.006",
+          "None=Razi, Mr. Raihed<br>Deck=Deck_Unkown<br>shap=-0.001",
+          "None=Johnson, Master. Harold Theodor<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Gustafsson, Mr. Alfred Ossian<br>Deck=Deck_Unkown<br>shap=-0.002",
+          "None=Montvila, Rev. Juozas<br>Deck=Deck_Unkown<br>shap=-0.000"
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-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Fare=0.0<br>shap=-0.047",
-          "index=Bishop, Mr. Dickinson H<br>Fare=91.0792<br>shap=0.054",
-          "index=Windelov, Mr. Einar<br>Fare=7.25<br>shap=-0.036",
-          "index=Shellard, Mr. Frederick William<br>Fare=15.1<br>shap=0.004",
-          "index=Svensson, Mr. Olof<br>Fare=7.7958<br>shap=-0.035",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Fare=7.6292<br>shap=-0.026",
-          "index=Laitinen, Miss. Kristina Sofia<br>Fare=9.5875<br>shap=-0.052",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Fare=108.9<br>shap=0.048",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Fare=26.55<br>shap=0.021",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Fare=26.0<br>shap=0.013",
-          "index=Kassem, Mr. Fared<br>Fare=7.2292<br>shap=-0.043",
-          "index=Cacic, Miss. Marija<br>Fare=8.6625<br>shap=-0.053",
-          "index=Hart, Miss. Eva Miriam<br>Fare=26.25<br>shap=0.007",
-          "index=Butt, Major. Archibald Willingham<br>Fare=26.55<br>shap=0.015",
-          "index=Beane, Mr. Edward<br>Fare=26.0<br>shap=0.001",
-          "index=Goldsmith, Mr. Frank John<br>Fare=20.525<br>shap=0.022",
-          "index=Ohman, Miss. Velin<br>Fare=7.775<br>shap=-0.043",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Fare=79.65<br>shap=0.078",
-          "index=Morrow, Mr. Thomas Rowan<br>Fare=7.75<br>shap=-0.033",
-          "index=Harris, Mr. George<br>Fare=10.5<br>shap=-0.018",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Fare=51.4792<br>shap=0.039",
-          "index=Patchett, Mr. George<br>Fare=14.5<br>shap=0.001",
-          "index=Ross, Mr. John Hugo<br>Fare=40.125<br>shap=0.031",
-          "index=Murdlin, Mr. Joseph<br>Fare=8.05<br>shap=-0.042",
-          "index=Bourke, Miss. Mary<br>Fare=7.75<br>shap=-0.022",
-          "index=Boulos, Mr. Hanna<br>Fare=7.225<br>shap=-0.047",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Fare=56.9292<br>shap=0.044",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Fare=26.55<br>shap=0.019",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Fare=15.55<br>shap=0.009",
-          "index=Daniel, Mr. Robert Williams<br>Fare=30.5<br>shap=0.009",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Fare=41.5792<br>shap=0.007",
-          "index=Shutes, Miss. Elizabeth W<br>Fare=153.4625<br>shap=0.092",
-          "index=Jardin, Mr. Jose Neto<br>Fare=7.05<br>shap=-0.043",
-          "index=Horgan, Mr. John<br>Fare=7.75<br>shap=-0.033",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Fare=16.1<br>shap=0.021",
-          "index=Yasbeck, Mr. Antoni<br>Fare=14.4542<br>shap=0.006",
-          "index=Bostandyeff, Mr. Guentcho<br>Fare=7.8958<br>shap=-0.037",
-          "index=Lundahl, Mr. Johan Svensson<br>Fare=7.0542<br>shap=-0.037",
-          "index=Stahelin-Maeglin, Dr. Max<br>Fare=30.5<br>shap=0.013",
-          "index=Willey, Mr. Edward<br>Fare=7.55<br>shap=-0.042",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Fare=7.55<br>shap=-0.037",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Fare=6.75<br>shap=-0.031",
-          "index=Eitemiller, Mr. George Floyd<br>Fare=13.0<br>shap=0.004",
-          "index=Colley, Mr. Edward Pomeroy<br>Fare=25.5875<br>shap=0.022",
-          "index=Coleff, Mr. Peju<br>Fare=7.4958<br>shap=-0.041",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Fare=39.0<br>shap=0.012",
-          "index=Davidson, Mr. Thornton<br>Fare=52.0<br>shap=0.026",
-          "index=Turja, Miss. Anna Sofia<br>Fare=9.8417<br>shap=-0.05",
-          "index=Hassab, Mr. Hammad<br>Fare=76.7292<br>shap=0.082",
-          "index=Goodwin, Mr. Charles Edward<br>Fare=46.9<br>shap=-0.019",
-          "index=Panula, Mr. Jaako Arnold<br>Fare=39.6875<br>shap=-0.011",
-          "index=Fischer, Mr. Eberhard Thelander<br>Fare=7.7958<br>shap=-0.035",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Fare=7.65<br>shap=-0.072",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Fare=227.525<br>shap=0.069",
-          "index=Hansen, Mr. Henrik Juul<br>Fare=7.8542<br>shap=-0.031",
-          "index=Calderhead, Mr. Edward Pennington<br>Fare=26.2875<br>shap=0.02",
-          "index=Klaber, Mr. Herman<br>Fare=26.55<br>shap=0.037",
-          "index=Taylor, Mr. Elmer Zebley<br>Fare=52.0<br>shap=0.023",
-          "index=Larsson, Mr. August Viktor<br>Fare=9.4833<br>shap=-0.035",
-          "index=Greenberg, Mr. Samuel<br>Fare=13.0<br>shap=0.005",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Fare=10.5<br>shap=-0.043",
-          "index=McEvoy, Mr. Michael<br>Fare=15.5<br>shap=0.013",
-          "index=Johnson, Mr. Malkolm Joackim<br>Fare=7.775<br>shap=-0.04",
-          "index=Gillespie, Mr. William Henry<br>Fare=13.0<br>shap=0.004",
-          "index=Allen, Miss. Elisabeth Walton<br>Fare=211.3375<br>shap=0.09",
-          "index=Berriman, Mr. William John<br>Fare=13.0<br>shap=0.004",
-          "index=Troupiansky, Mr. Moses Aaron<br>Fare=13.0<br>shap=0.004",
-          "index=Williams, Mr. Leslie<br>Fare=16.1<br>shap=0.003",
-          "index=Ivanoff, Mr. Kanio<br>Fare=7.8958<br>shap=-0.043",
-          "index=McNamee, Mr. Neal<br>Fare=16.1<br>shap=0.006",
-          "index=Connaghton, Mr. Michael<br>Fare=7.75<br>shap=-0.031",
-          "index=Carlsson, Mr. August Sigfrid<br>Fare=7.7958<br>shap=-0.034",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Fare=86.5<br>shap=0.095",
-          "index=Eklund, Mr. Hans Linus<br>Fare=7.775<br>shap=-0.036",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Fare=77.9583<br>shap=0.084",
-          "index=Moran, Mr. Daniel J<br>Fare=24.15<br>shap=-0.009",
-          "index=Lievens, Mr. Rene Aime<br>Fare=9.5<br>shap=-0.033",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Fare=211.3375<br>shap=0.074",
-          "index=Ayoub, Miss. Banoura<br>Fare=7.2292<br>shap=-0.036",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Fare=57.0<br>shap=0.07",
-          "index=Johnston, Mr. Andrew G<br>Fare=23.45<br>shap=-0.011",
-          "index=Ali, Mr. William<br>Fare=7.05<br>shap=-0.037",
-          "index=Sjoblom, Miss. Anna Sofia<br>Fare=7.4958<br>shap=-0.038",
-          "index=Guggenheim, Mr. Benjamin<br>Fare=79.2<br>shap=0.079",
-          "index=Leader, Dr. Alice (Farnham)<br>Fare=25.9292<br>shap=0.018",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Fare=26.25<br>shap=0.012",
-          "index=Carter, Master. William Thornton II<br>Fare=120.0<br>shap=0.069",
-          "index=Thomas, Master. Assad Alexander<br>Fare=8.5167<br>shap=-0.025",
-          "index=Johansson, Mr. Karl Johan<br>Fare=7.775<br>shap=-0.036",
-          "index=Slemen, Mr. Richard James<br>Fare=10.5<br>shap=-0.031",
-          "index=Tomlin, Mr. Ernest Portage<br>Fare=8.05<br>shap=-0.038",
-          "index=McCormack, Mr. Thomas Joseph<br>Fare=7.75<br>shap=-0.033",
-          "index=Richards, Master. George Sibley<br>Fare=18.75<br>shap=0.015",
-          "index=Mudd, Mr. Thomas Charles<br>Fare=10.5<br>shap=-0.029",
-          "index=Lemberopolous, Mr. Peter L<br>Fare=6.4375<br>shap=-0.046",
-          "index=Sage, Mr. Douglas Bullen<br>Fare=69.55<br>shap=0.007",
-          "index=Boulos, Miss. Nourelain<br>Fare=15.2458<br>shap=0.009",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Fare=9.35<br>shap=-0.05",
-          "index=Razi, Mr. Raihed<br>Fare=7.2292<br>shap=-0.043",
-          "index=Johnson, Master. Harold Theodor<br>Fare=11.1333<br>shap=0.005",
-          "index=Carlsson, Mr. Frans Olof<br>Fare=5.0<br>shap=-0.092",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Fare=9.8458<br>shap=-0.029",
-          "index=Montvila, Rev. Juozas<br>Fare=13.0<br>shap=0.004"
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+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Fare=53.1<br>shap=-0.004",
+          "None=Palsson, Master. Gosta Leonard<br>Fare=21.075<br>shap=-0.001",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Fare=11.1333<br>shap=-0.001",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>Fare=30.0708<br>shap=-0.004",
+          "None=Saundercock, Mr. William Henry<br>Fare=8.05<br>shap=0.003",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>Fare=7.8542<br>shap=0.007",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Fare=31.3875<br>shap=-0.014",
+          "None=Glynn, Miss. Mary Agatha<br>Fare=7.75<br>shap=0.006",
+          "None=Meyer, Mr. Edgar Joseph<br>Fare=82.1708<br>shap=0.002",
+          "None=Kraeff, Mr. Theodor<br>Fare=7.8958<br>shap=0.002",
+          "None=Devaney, Miss. Margaret Delia<br>Fare=7.8792<br>shap=0.005",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Fare=17.8<br>shap=0.006",
+          "None=Rugg, Miss. Emily<br>Fare=10.5<br>shap=-0.001",
+          "None=Harris, Mr. Henry Birkhardt<br>Fare=83.475<br>shap=-0.001",
+          "None=Skoog, Master. Harald<br>Fare=27.9<br>shap=0.006",
+          "None=Kink, Mr. Vincenz<br>Fare=8.6625<br>shap=0.004",
+          "None=Hood, Mr. Ambrose Jr<br>Fare=73.5<br>shap=0.007",
+          "None=Ilett, Miss. Bertha<br>Fare=10.5<br>shap=-0.001",
+          "None=Ford, Mr. William Neal<br>Fare=34.375<br>shap=0.006",
+          "None=Christmann, Mr. Emil<br>Fare=8.05<br>shap=0.003",
+          "None=Andreasson, Mr. Paul Edvin<br>Fare=7.8542<br>shap=0.002",
+          "None=Chaffee, Mr. Herbert Fuller<br>Fare=61.175<br>shap=-0.001",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Fare=7.8958<br>shap=0.000",
+          "None=White, Mr. Richard Frasar<br>Fare=77.2875<br>shap=0.001",
+          "None=Rekic, Mr. Tido<br>Fare=7.8958<br>shap=0.001",
+          "None=Moran, Miss. Bertha<br>Fare=24.15<br>shap=-0.007",
+          "None=Barton, Mr. David John<br>Fare=8.05<br>shap=0.003",
+          "None=Jussila, Miss. Katriina<br>Fare=9.825<br>shap=-0.004",
+          "None=Pekoniemi, Mr. Edvard<br>Fare=7.925<br>shap=0.002",
+          "None=Turpin, Mr. William John Robert<br>Fare=21.0<br>shap=-0.003",
+          "None=Moore, Mr. Leonard Charles<br>Fare=8.05<br>shap=0.002",
+          "None=Osen, Mr. Olaf Elon<br>Fare=9.2167<br>shap=0.003",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Fare=34.375<br>shap=-0.015",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Fare=26.0<br>shap=0.002",
+          "None=Bateman, Rev. Robert James<br>Fare=12.525<br>shap=-0.002",
+          "None=Meo, Mr. Alfonzo<br>Fare=8.05<br>shap=0.003",
+          "None=Cribb, Mr. John Hatfield<br>Fare=16.1<br>shap=-0.002",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Fare=55.0<br>shap=-0.005",
+          "None=Van der hoef, Mr. Wyckoff<br>Fare=33.5<br>shap=-0.001",
+          "None=Sivola, Mr. Antti Wilhelm<br>Fare=7.925<br>shap=0.002",
+          "None=Klasen, Mr. Klas Albin<br>Fare=7.8542<br>shap=0.003",
+          "None=Rood, Mr. Hugh Roscoe<br>Fare=50.0<br>shap=-0.000",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Fare=7.8542<br>shap=0.003",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Fare=27.7208<br>shap=-0.005",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Fare=9.5<br>shap=0.003",
+          "None=Backstrom, Mr. Karl Alfred<br>Fare=15.85<br>shap=-0.005",
+          "None=Blank, Mr. Henry<br>Fare=31.0<br>shap=-0.002",
+          "None=Ali, Mr. Ahmed<br>Fare=7.05<br>shap=0.000",
+          "None=Green, Mr. George Henry<br>Fare=8.05<br>shap=0.004",
+          "None=Nenkoff, Mr. Christo<br>Fare=7.8958<br>shap=0.000",
+          "None=Asplund, Miss. Lillian Gertrud<br>Fare=31.3875<br>shap=-0.015",
+          "None=Harknett, Miss. Alice Phoebe<br>Fare=7.55<br>shap=0.008",
+          "None=Hunt, Mr. George Henry<br>Fare=12.275<br>shap=-0.002",
+          "None=Reed, Mr. James George<br>Fare=7.25<br>shap=-0.000",
+          "None=Stead, Mr. William Thomas<br>Fare=26.55<br>shap=0.009",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Fare=79.2<br>shap=-0.017",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Fare=26.0<br>shap=-0.005",
+          "None=Smith, Mr. Thomas<br>Fare=7.75<br>shap=0.000",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Fare=31.3875<br>shap=0.006",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Fare=7.75<br>shap=0.006",
+          "None=Andrews, Miss. Kornelia Theodosia<br>Fare=77.9583<br>shap=-0.012",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Fare=20.25<br>shap=0.002",
+          "None=Smith, Mr. Richard William<br>Fare=26.0<br>shap=0.003",
+          "None=Connolly, Miss. Kate<br>Fare=7.75<br>shap=0.005",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Fare=91.0792<br>shap=-0.017",
+          "None=Levy, Mr. Rene Jacques<br>Fare=12.875<br>shap=0.001",
+          "None=Lewy, Mr. Ervin G<br>Fare=27.7208<br>shap=0.001",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Fare=8.05<br>shap=0.002",
+          "None=Sage, Mr. George John Jr<br>Fare=69.55<br>shap=0.009",
+          "None=Nysveen, Mr. Johan Hansen<br>Fare=6.2375<br>shap=0.001",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Fare=133.65<br>shap=-0.029",
+          "None=Denkoff, Mr. Mitto<br>Fare=7.8958<br>shap=0.000",
+          "None=Burns, Miss. Elizabeth Margaret<br>Fare=134.5<br>shap=-0.005",
+          "None=Dimic, Mr. Jovan<br>Fare=8.6625<br>shap=0.003",
+          "None=del Carlo, Mr. Sebastiano<br>Fare=27.7208<br>shap=-0.002",
+          "None=Beavan, Mr. William Thomas<br>Fare=8.05<br>shap=0.003",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Fare=82.1708<br>shap=-0.019",
+          "None=Widener, Mr. Harry Elkins<br>Fare=211.5<br>shap=-0.009",
+          "None=Gustafsson, Mr. Karl Gideon<br>Fare=7.775<br>shap=0.001",
+          "None=Plotcharsky, Mr. Vasil<br>Fare=7.8958<br>shap=0.000",
+          "None=Goodwin, Master. Sidney Leonard<br>Fare=46.9<br>shap=0.005",
+          "None=Sadlier, Mr. Matthew<br>Fare=7.7292<br>shap=-0.001",
+          "None=Gustafsson, Mr. Johan Birger<br>Fare=7.925<br>shap=0.002",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Fare=16.7<br>shap=0.001",
+          "None=Niskanen, Mr. Juha<br>Fare=7.925<br>shap=0.002",
+          "None=Minahan, Miss. Daisy E<br>Fare=90.0<br>shap=-0.013",
+          "None=Matthews, Mr. William John<br>Fare=13.0<br>shap=-0.002",
+          "None=Charters, Mr. David<br>Fare=7.7333<br>shap=-0.000",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Fare=26.0<br>shap=-0.004",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Fare=26.25<br>shap=-0.004",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Fare=8.1125<br>shap=0.002",
+          "None=Peuchen, Major. Arthur Godfrey<br>Fare=30.5<br>shap=0.003",
+          "None=Anderson, Mr. Harry<br>Fare=26.55<br>shap=0.007",
+          "None=Milling, Mr. Jacob Christian<br>Fare=13.0<br>shap=-0.002",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Fare=27.75<br>shap=-0.003",
+          "None=Karlsson, Mr. Nils August<br>Fare=7.5208<br>shap=0.000",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Fare=0.0<br>shap=0.003",
+          "None=Bishop, Mr. Dickinson H<br>Fare=91.0792<br>shap=0.002",
+          "None=Windelov, Mr. Einar<br>Fare=7.25<br>shap=0.001",
+          "None=Shellard, Mr. Frederick William<br>Fare=15.1<br>shap=-0.003",
+          "None=Svensson, Mr. Olof<br>Fare=7.7958<br>shap=0.001",
+          "None=O'Sullivan, Miss. Bridget Mary<br>Fare=7.6292<br>shap=0.008",
+          "None=Laitinen, Miss. Kristina Sofia<br>Fare=9.5875<br>shap=-0.001",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>Fare=108.9<br>shap=-0.002",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Fare=26.55<br>shap=0.006",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Fare=26.0<br>shap=-0.003",
+          "None=Kassem, Mr. Fared<br>Fare=7.2292<br>shap=0.003",
+          "None=Cacic, Miss. Marija<br>Fare=8.6625<br>shap=-0.004",
+          "None=Hart, Miss. Eva Miriam<br>Fare=26.25<br>shap=-0.004",
+          "None=Butt, Major. Archibald Willingham<br>Fare=26.55<br>shap=0.006",
+          "None=Beane, Mr. Edward<br>Fare=26.0<br>shap=-0.000",
+          "None=Goldsmith, Mr. Frank John<br>Fare=20.525<br>shap=-0.003",
+          "None=Ohman, Miss. Velin<br>Fare=7.775<br>shap=0.004",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Fare=79.65<br>shap=-0.007",
+          "None=Morrow, Mr. Thomas Rowan<br>Fare=7.75<br>shap=0.000",
+          "None=Harris, Mr. George<br>Fare=10.5<br>shap=0.004",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Fare=51.4792<br>shap=0.002",
+          "None=Patchett, Mr. George<br>Fare=14.5<br>shap=-0.004",
+          "None=Ross, Mr. John Hugo<br>Fare=40.125<br>shap=-0.000",
+          "None=Murdlin, Mr. Joseph<br>Fare=8.05<br>shap=0.002",
+          "None=Bourke, Miss. Mary<br>Fare=7.75<br>shap=-0.000",
+          "None=Boulos, Mr. Hanna<br>Fare=7.225<br>shap=0.003",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Fare=56.9292<br>shap=-0.001",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>Fare=26.55<br>shap=0.003",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Fare=15.55<br>shap=-0.005",
+          "None=Daniel, Mr. Robert Williams<br>Fare=30.5<br>shap=0.002",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Fare=41.5792<br>shap=-0.000",
+          "None=Shutes, Miss. Elizabeth W<br>Fare=153.4625<br>shap=-0.013",
+          "None=Jardin, Mr. Jose Neto<br>Fare=7.05<br>shap=-0.001",
+          "None=Horgan, Mr. John<br>Fare=7.75<br>shap=0.000",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Fare=16.1<br>shap=0.009",
+          "None=Yasbeck, Mr. Antoni<br>Fare=14.4542<br>shap=0.000",
+          "None=Bostandyeff, Mr. Guentcho<br>Fare=7.8958<br>shap=0.001",
+          "None=Lundahl, Mr. Johan Svensson<br>Fare=7.0542<br>shap=0.001",
+          "None=Stahelin-Maeglin, Dr. Max<br>Fare=30.5<br>shap=-0.003",
+          "None=Willey, Mr. Edward<br>Fare=7.55<br>shap=-0.001",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>Fare=7.55<br>shap=0.006",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>Fare=6.75<br>shap=0.006",
+          "None=Eitemiller, Mr. George Floyd<br>Fare=13.0<br>shap=-0.002",
+          "None=Colley, Mr. Edward Pomeroy<br>Fare=25.5875<br>shap=0.003",
+          "None=Coleff, Mr. Peju<br>Fare=7.4958<br>shap=-0.000",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Fare=39.0<br>shap=-0.005",
+          "None=Davidson, Mr. Thornton<br>Fare=52.0<br>shap=-0.003",
+          "None=Turja, Miss. Anna Sofia<br>Fare=9.8417<br>shap=-0.002",
+          "None=Hassab, Mr. Hammad<br>Fare=76.7292<br>shap=0.001",
+          "None=Goodwin, Mr. Charles Edward<br>Fare=46.9<br>shap=0.007",
+          "None=Panula, Mr. Jaako Arnold<br>Fare=39.6875<br>shap=0.006",
+          "None=Fischer, Mr. Eberhard Thelander<br>Fare=7.7958<br>shap=0.001",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Fare=7.65<br>shap=0.005",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Fare=227.525<br>shap=-0.012",
+          "None=Hansen, Mr. Henrik Juul<br>Fare=7.8542<br>shap=0.002",
+          "None=Calderhead, Mr. Edward Pennington<br>Fare=26.2875<br>shap=0.007",
+          "None=Klaber, Mr. Herman<br>Fare=26.55<br>shap=0.009",
+          "None=Taylor, Mr. Elmer Zebley<br>Fare=52.0<br>shap=-0.005",
+          "None=Larsson, Mr. August Viktor<br>Fare=9.4833<br>shap=0.003",
+          "None=Greenberg, Mr. Samuel<br>Fare=13.0<br>shap=-0.002",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>Fare=10.5<br>shap=-0.020",
+          "None=McEvoy, Mr. Michael<br>Fare=15.5<br>shap=-0.002",
+          "None=Johnson, Mr. Malkolm Joackim<br>Fare=7.775<br>shap=0.001",
+          "None=Gillespie, Mr. William Henry<br>Fare=13.0<br>shap=-0.002",
+          "None=Allen, Miss. Elisabeth Walton<br>Fare=211.3375<br>shap=-0.017",
+          "None=Berriman, Mr. William John<br>Fare=13.0<br>shap=-0.002",
+          "None=Troupiansky, Mr. Moses Aaron<br>Fare=13.0<br>shap=-0.002",
+          "None=Williams, Mr. Leslie<br>Fare=16.1<br>shap=-0.005",
+          "None=Ivanoff, Mr. Kanio<br>Fare=7.8958<br>shap=0.000",
+          "None=McNamee, Mr. Neal<br>Fare=16.1<br>shap=-0.006",
+          "None=Connaghton, Mr. Michael<br>Fare=7.75<br>shap=0.002",
+          "None=Carlsson, Mr. August Sigfrid<br>Fare=7.7958<br>shap=0.001",
+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Fare=86.5<br>shap=-0.017",
+          "None=Eklund, Mr. Hans Linus<br>Fare=7.775<br>shap=0.001",
+          "None=Hogeboom, Mrs. John C (Anna Andrews)<br>Fare=77.9583<br>shap=-0.013",
+          "None=Moran, Mr. Daniel J<br>Fare=24.15<br>shap=0.003",
+          "None=Lievens, Mr. Rene Aime<br>Fare=9.5<br>shap=0.003",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Fare=211.3375<br>shap=-0.018",
+          "None=Ayoub, Miss. Banoura<br>Fare=7.2292<br>shap=0.005",
+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Fare=57.0<br>shap=-0.012",
+          "None=Johnston, Mr. Andrew G<br>Fare=23.45<br>shap=0.002",
+          "None=Ali, Mr. William<br>Fare=7.05<br>shap=0.000",
+          "None=Sjoblom, Miss. Anna Sofia<br>Fare=7.4958<br>shap=0.006",
+          "None=Guggenheim, Mr. Benjamin<br>Fare=79.2<br>shap=0.005",
+          "None=Leader, Dr. Alice (Farnham)<br>Fare=25.9292<br>shap=-0.007",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Fare=26.25<br>shap=-0.002",
+          "None=Carter, Master. William Thornton II<br>Fare=120.0<br>shap=0.005",
+          "None=Thomas, Master. Assad Alexander<br>Fare=8.5167<br>shap=0.007",
+          "None=Johansson, Mr. Karl Johan<br>Fare=7.775<br>shap=0.001",
+          "None=Slemen, Mr. Richard James<br>Fare=10.5<br>shap=0.004",
+          "None=Tomlin, Mr. Ernest Portage<br>Fare=8.05<br>shap=0.003",
+          "None=McCormack, Mr. Thomas Joseph<br>Fare=7.75<br>shap=0.000",
+          "None=Richards, Master. George Sibley<br>Fare=18.75<br>shap=-0.001",
+          "None=Mudd, Mr. Thomas Charles<br>Fare=10.5<br>shap=0.004",
+          "None=Lemberopolous, Mr. Peter L<br>Fare=6.4375<br>shap=0.003",
+          "None=Sage, Mr. Douglas Bullen<br>Fare=69.55<br>shap=0.009",
+          "None=Boulos, Miss. Nourelain<br>Fare=15.2458<br>shap=-0.008",
+          "None=Aks, Mrs. Sam (Leah Rosen)<br>Fare=9.35<br>shap=-0.006",
+          "None=Razi, Mr. Raihed<br>Fare=7.2292<br>shap=0.003",
+          "None=Johnson, Master. Harold Theodor<br>Fare=11.1333<br>shap=0.003",
+          "None=Carlsson, Mr. Frans Olof<br>Fare=5.0<br>shap=0.004",
+          "None=Gustafsson, Mr. Alfred Ossian<br>Fare=9.8458<br>shap=0.003",
+          "None=Montvila, Rev. Juozas<br>Fare=13.0<br>shap=-0.002"
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-          "index=Rugg, Miss. Emily<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Harris, Mr. Henry Birkhardt<br>No_of_relatives_on_board=1<br>shap=0.021",
-          "index=Skoog, Master. Harald<br>No_of_relatives_on_board=5<br>shap=-0.044",
-          "index=Kink, Mr. Vincenz<br>No_of_relatives_on_board=2<br>shap=0.026",
-          "index=Hood, Mr. Ambrose Jr<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Ilett, Miss. Bertha<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Ford, Mr. William Neal<br>No_of_relatives_on_board=4<br>shap=-0.026",
-          "index=Christmann, Mr. Emil<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Andreasson, Mr. Paul Edvin<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Chaffee, Mr. Herbert Fuller<br>No_of_relatives_on_board=1<br>shap=0.022",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=White, Mr. Richard Frasar<br>No_of_relatives_on_board=1<br>shap=0.026",
-          "index=Rekic, Mr. Tido<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Moran, Miss. Bertha<br>No_of_relatives_on_board=1<br>shap=0.025",
-          "index=Barton, Mr. David John<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Jussila, Miss. Katriina<br>No_of_relatives_on_board=1<br>shap=0.029",
-          "index=Pekoniemi, Mr. Edvard<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Turpin, Mr. William John Robert<br>No_of_relatives_on_board=1<br>shap=0.019",
-          "index=Moore, Mr. Leonard Charles<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Osen, Mr. Olaf Elon<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>No_of_relatives_on_board=4<br>shap=-0.084",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>No_of_relatives_on_board=2<br>shap=0.037",
-          "index=Bateman, Rev. Robert James<br>No_of_relatives_on_board=0<br>shap=-0.005",
-          "index=Meo, Mr. Alfonzo<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Cribb, Mr. John Hatfield<br>No_of_relatives_on_board=1<br>shap=0.021",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>No_of_relatives_on_board=1<br>shap=0.036",
-          "index=Van der hoef, Mr. Wyckoff<br>No_of_relatives_on_board=0<br>shap=-0.014",
-          "index=Sivola, Mr. Antti Wilhelm<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Klasen, Mr. Klas Albin<br>No_of_relatives_on_board=2<br>shap=0.031",
-          "index=Rood, Mr. Hugh Roscoe<br>No_of_relatives_on_board=0<br>shap=-0.014",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>No_of_relatives_on_board=1<br>shap=0.028",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>No_of_relatives_on_board=0<br>shap=-0.012",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Backstrom, Mr. Karl Alfred<br>No_of_relatives_on_board=1<br>shap=0.019",
-          "index=Blank, Mr. Henry<br>No_of_relatives_on_board=0<br>shap=-0.016",
-          "index=Ali, Mr. Ahmed<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Green, Mr. George Henry<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Nenkoff, Mr. Christo<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Asplund, Miss. Lillian Gertrud<br>No_of_relatives_on_board=6<br>shap=-0.099",
-          "index=Harknett, Miss. Alice Phoebe<br>No_of_relatives_on_board=0<br>shap=0.003",
-          "index=Hunt, Mr. George Henry<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Reed, Mr. James George<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Stead, Mr. William Thomas<br>No_of_relatives_on_board=0<br>shap=-0.008",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>No_of_relatives_on_board=0<br>shap=0.003",
-          "index=Parrish, Mrs. (Lutie Davis)<br>No_of_relatives_on_board=1<br>shap=0.041",
-          "index=Smith, Mr. Thomas<br>No_of_relatives_on_board=0<br>shap=-0.007",
-          "index=Asplund, Master. Edvin Rojj Felix<br>No_of_relatives_on_board=6<br>shap=-0.04",
-          "index=Healy, Miss. Hanora \"Nora\"<br>No_of_relatives_on_board=0<br>shap=0.006",
-          "index=Andrews, Miss. Kornelia Theodosia<br>No_of_relatives_on_board=1<br>shap=0.029",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_relatives_on_board=2<br>shap=0.036",
-          "index=Smith, Mr. Richard William<br>No_of_relatives_on_board=0<br>shap=-0.012",
-          "index=Connolly, Miss. Kate<br>No_of_relatives_on_board=0<br>shap=0.003",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_relatives_on_board=1<br>shap=0.024",
-          "index=Levy, Mr. Rene Jacques<br>No_of_relatives_on_board=0<br>shap=-0.019",
-          "index=Lewy, Mr. Ervin G<br>No_of_relatives_on_board=0<br>shap=-0.007",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Sage, Mr. George John Jr<br>No_of_relatives_on_board=10<br>shap=-0.053",
-          "index=Nysveen, Mr. Johan Hansen<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_relatives_on_board=1<br>shap=0.035",
-          "index=Denkoff, Mr. Mitto<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Burns, Miss. Elizabeth Margaret<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Dimic, Mr. Jovan<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=del Carlo, Mr. Sebastiano<br>No_of_relatives_on_board=1<br>shap=0.024",
-          "index=Beavan, Mr. William Thomas<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_relatives_on_board=1<br>shap=0.025",
-          "index=Widener, Mr. Harry Elkins<br>No_of_relatives_on_board=2<br>shap=0.025",
-          "index=Gustafsson, Mr. Karl Gideon<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Plotcharsky, Mr. Vasil<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Goodwin, Master. Sidney Leonard<br>No_of_relatives_on_board=7<br>shap=-0.043",
-          "index=Sadlier, Mr. Matthew<br>No_of_relatives_on_board=0<br>shap=-0.007",
-          "index=Gustafsson, Mr. Johan Birger<br>No_of_relatives_on_board=2<br>shap=0.026",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_relatives_on_board=2<br>shap=0.031",
-          "index=Niskanen, Mr. Juha<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Minahan, Miss. Daisy E<br>No_of_relatives_on_board=1<br>shap=0.019",
-          "index=Matthews, Mr. William John<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Charters, Mr. David<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_relatives_on_board=0<br>shap=0.001",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_relatives_on_board=2<br>shap=0.039",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Peuchen, Major. Arthur Godfrey<br>No_of_relatives_on_board=0<br>shap=-0.01",
-          "index=Anderson, Mr. Harry<br>No_of_relatives_on_board=0<br>shap=-0.007",
-          "index=Milling, Mr. Jacob Christian<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_relatives_on_board=3<br>shap=0.03",
-          "index=Karlsson, Mr. Nils August<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_relatives_on_board=0<br>shap=-0.009",
-          "index=Bishop, Mr. Dickinson H<br>No_of_relatives_on_board=1<br>shap=0.031",
-          "index=Windelov, Mr. Einar<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Shellard, Mr. Frederick William<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Svensson, Mr. Olof<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=O'Sullivan, Miss. Bridget Mary<br>No_of_relatives_on_board=0<br>shap=0.006",
-          "index=Laitinen, Miss. Kristina Sofia<br>No_of_relatives_on_board=0<br>shap=0.003",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>No_of_relatives_on_board=1<br>shap=0.026",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_relatives_on_board=0<br>shap=-0.007",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_relatives_on_board=1<br>shap=0.04",
-          "index=Kassem, Mr. Fared<br>No_of_relatives_on_board=0<br>shap=-0.01",
-          "index=Cacic, Miss. Marija<br>No_of_relatives_on_board=0<br>shap=0.004",
-          "index=Hart, Miss. Eva Miriam<br>No_of_relatives_on_board=2<br>shap=0.041",
-          "index=Butt, Major. Archibald Willingham<br>No_of_relatives_on_board=0<br>shap=-0.013",
-          "index=Beane, Mr. Edward<br>No_of_relatives_on_board=1<br>shap=0.02",
-          "index=Goldsmith, Mr. Frank John<br>No_of_relatives_on_board=2<br>shap=0.027",
-          "index=Ohman, Miss. Velin<br>No_of_relatives_on_board=0<br>shap=0.003",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_relatives_on_board=2<br>shap=0.025",
-          "index=Morrow, Mr. Thomas Rowan<br>No_of_relatives_on_board=0<br>shap=-0.007",
-          "index=Harris, Mr. George<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_relatives_on_board=2<br>shap=0.042",
-          "index=Patchett, Mr. George<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Ross, Mr. John Hugo<br>No_of_relatives_on_board=0<br>shap=-0.014",
-          "index=Murdlin, Mr. Joseph<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Bourke, Miss. Mary<br>No_of_relatives_on_board=2<br>shap=0.029",
-          "index=Boulos, Mr. Hanna<br>No_of_relatives_on_board=0<br>shap=-0.011",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_relatives_on_board=1<br>shap=0.032",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_relatives_on_board=0<br>shap=-0.007",
-          "index=Lindell, Mr. Edvard Bengtsson<br>No_of_relatives_on_board=1<br>shap=0.019",
-          "index=Daniel, Mr. Robert Williams<br>No_of_relatives_on_board=0<br>shap=-0.005",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_relatives_on_board=3<br>shap=0.029",
-          "index=Shutes, Miss. Elizabeth W<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Jardin, Mr. Jose Neto<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Horgan, Mr. John<br>No_of_relatives_on_board=0<br>shap=-0.007",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_relatives_on_board=1<br>shap=0.036",
-          "index=Yasbeck, Mr. Antoni<br>No_of_relatives_on_board=1<br>shap=0.026",
-          "index=Bostandyeff, Mr. Guentcho<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Lundahl, Mr. Johan Svensson<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Stahelin-Maeglin, Dr. Max<br>No_of_relatives_on_board=0<br>shap=-0.019",
-          "index=Willey, Mr. Edward<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>No_of_relatives_on_board=0<br>shap=0.003",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>No_of_relatives_on_board=0<br>shap=0.004",
-          "index=Eitemiller, Mr. George Floyd<br>No_of_relatives_on_board=0<br>shap=-0.007",
-          "index=Colley, Mr. Edward Pomeroy<br>No_of_relatives_on_board=0<br>shap=-0.007",
-          "index=Coleff, Mr. Peju<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_relatives_on_board=2<br>shap=0.042",
-          "index=Davidson, Mr. Thornton<br>No_of_relatives_on_board=1<br>shap=0.031",
-          "index=Turja, Miss. Anna Sofia<br>No_of_relatives_on_board=0<br>shap=0.002",
-          "index=Hassab, Mr. Hammad<br>No_of_relatives_on_board=0<br>shap=-0.015",
-          "index=Goodwin, Mr. Charles Edward<br>No_of_relatives_on_board=7<br>shap=-0.044",
-          "index=Panula, Mr. Jaako Arnold<br>No_of_relatives_on_board=5<br>shap=-0.042",
-          "index=Fischer, Mr. Eberhard Thelander<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_relatives_on_board=0<br>shap=-0.012",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_relatives_on_board=1<br>shap=0.025",
-          "index=Hansen, Mr. Henrik Juul<br>No_of_relatives_on_board=1<br>shap=0.017",
-          "index=Calderhead, Mr. Edward Pennington<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Klaber, Mr. Herman<br>No_of_relatives_on_board=0<br>shap=-0.009",
-          "index=Taylor, Mr. Elmer Zebley<br>No_of_relatives_on_board=1<br>shap=0.032",
-          "index=Larsson, Mr. August Viktor<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Greenberg, Mr. Samuel<br>No_of_relatives_on_board=0<br>shap=-0.005",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=McEvoy, Mr. Michael<br>No_of_relatives_on_board=0<br>shap=-0.005",
-          "index=Johnson, Mr. Malkolm Joackim<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Gillespie, Mr. William Henry<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=Allen, Miss. Elisabeth Walton<br>No_of_relatives_on_board=0<br>shap=0.0",
-          "index=Berriman, Mr. William John<br>No_of_relatives_on_board=0<br>shap=-0.007",
-          "index=Troupiansky, Mr. Moses Aaron<br>No_of_relatives_on_board=0<br>shap=-0.007",
-          "index=Williams, Mr. Leslie<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Ivanoff, Mr. Kanio<br>No_of_relatives_on_board=0<br>shap=-0.006",
-          "index=McNamee, Mr. Neal<br>No_of_relatives_on_board=1<br>shap=0.018",
-          "index=Connaghton, Mr. Michael<br>No_of_relatives_on_board=0<br>shap=-0.005",
-          "index=Carlsson, Mr. August Sigfrid<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>No_of_relatives_on_board=0<br>shap=0.0",
-          "index=Eklund, Mr. Hans Linus<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>No_of_relatives_on_board=1<br>shap=0.033",
-          "index=Moran, Mr. Daniel J<br>No_of_relatives_on_board=1<br>shap=0.018",
-          "index=Lievens, Mr. Rene Aime<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>No_of_relatives_on_board=1<br>shap=0.029",
-          "index=Ayoub, Miss. Banoura<br>No_of_relatives_on_board=0<br>shap=0.001",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>No_of_relatives_on_board=1<br>shap=0.029",
-          "index=Johnston, Mr. Andrew G<br>No_of_relatives_on_board=3<br>shap=0.028",
-          "index=Ali, Mr. William<br>No_of_relatives_on_board=0<br>shap=-0.004",
-          "index=Sjoblom, Miss. Anna Sofia<br>No_of_relatives_on_board=0<br>shap=0.003",
-          "index=Guggenheim, Mr. Benjamin<br>No_of_relatives_on_board=0<br>shap=-0.017",
-          "index=Leader, Dr. Alice (Farnham)<br>No_of_relatives_on_board=0<br>shap=-0.007",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>No_of_relatives_on_board=2<br>shap=0.036",
-          "index=Carter, Master. William Thornton II<br>No_of_relatives_on_board=3<br>shap=0.038",
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-          "index=Slemen, Mr. Richard James<br>No_of_relatives_on_board=0<br>shap=-0.005",
-          "index=Tomlin, Mr. Ernest Portage<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=McCormack, Mr. Thomas Joseph<br>No_of_relatives_on_board=0<br>shap=-0.007",
-          "index=Richards, Master. George Sibley<br>No_of_relatives_on_board=2<br>shap=0.046",
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-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Embarked_Southampton=1<br>shap=-0.007",
-          "index=Bateman, Rev. Robert James<br>Embarked_Southampton=1<br>shap=-0.008",
-          "index=Meo, Mr. Alfonzo<br>Embarked_Southampton=1<br>shap=-0.008",
-          "index=Cribb, Mr. John Hatfield<br>Embarked_Southampton=1<br>shap=-0.008",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Van der hoef, Mr. Wyckoff<br>Embarked_Southampton=1<br>shap=-0.005",
-          "index=Sivola, Mr. Antti Wilhelm<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Klasen, Mr. Klas Albin<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Rood, Mr. Hugh Roscoe<br>Embarked_Southampton=1<br>shap=-0.006",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Embarked_Southampton=1<br>shap=-0.021",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Embarked_Southampton=0<br>shap=0.026",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Backstrom, Mr. Karl Alfred<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Blank, Mr. Henry<br>Embarked_Southampton=0<br>shap=0.022",
-          "index=Ali, Mr. Ahmed<br>Embarked_Southampton=1<br>shap=-0.007",
-          "index=Green, Mr. George Henry<br>Embarked_Southampton=1<br>shap=-0.008",
-          "index=Nenkoff, Mr. Christo<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Asplund, Miss. Lillian Gertrud<br>Embarked_Southampton=1<br>shap=-0.021",
-          "index=Harknett, Miss. Alice Phoebe<br>Embarked_Southampton=1<br>shap=-0.019",
-          "index=Hunt, Mr. George Henry<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Reed, Mr. James George<br>Embarked_Southampton=1<br>shap=-0.007",
-          "index=Stead, Mr. William Thomas<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Embarked_Southampton=0<br>shap=0.025",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Embarked_Southampton=1<br>shap=-0.007",
-          "index=Smith, Mr. Thomas<br>Embarked_Southampton=0<br>shap=0.015",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Embarked_Southampton=1<br>shap=-0.012",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Embarked_Southampton=0<br>shap=0.039",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Embarked_Southampton=1<br>shap=-0.015",
-          "index=Smith, Mr. Richard William<br>Embarked_Southampton=1<br>shap=-0.006",
-          "index=Connolly, Miss. Kate<br>Embarked_Southampton=0<br>shap=0.035",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Embarked_Southampton=0<br>shap=0.024",
-          "index=Levy, Mr. Rene Jacques<br>Embarked_Southampton=0<br>shap=0.014",
-          "index=Lewy, Mr. Ervin G<br>Embarked_Southampton=0<br>shap=0.018",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Sage, Mr. George John Jr<br>Embarked_Southampton=1<br>shap=-0.012",
-          "index=Nysveen, Mr. Johan Hansen<br>Embarked_Southampton=1<br>shap=-0.007",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Embarked_Southampton=1<br>shap=-0.012",
-          "index=Denkoff, Mr. Mitto<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Burns, Miss. Elizabeth Margaret<br>Embarked_Southampton=0<br>shap=0.021",
-          "index=Dimic, Mr. Jovan<br>Embarked_Southampton=1<br>shap=-0.008",
-          "index=del Carlo, Mr. Sebastiano<br>Embarked_Southampton=0<br>shap=0.024",
-          "index=Beavan, Mr. William Thomas<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Embarked_Southampton=0<br>shap=0.026",
-          "index=Widener, Mr. Harry Elkins<br>Embarked_Southampton=0<br>shap=0.028",
-          "index=Gustafsson, Mr. Karl Gideon<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Plotcharsky, Mr. Vasil<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Goodwin, Master. Sidney Leonard<br>Embarked_Southampton=1<br>shap=-0.013",
-          "index=Sadlier, Mr. Matthew<br>Embarked_Southampton=0<br>shap=0.015",
-          "index=Gustafsson, Mr. Johan Birger<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Embarked_Southampton=1<br>shap=-0.011",
-          "index=Niskanen, Mr. Juha<br>Embarked_Southampton=1<br>shap=-0.008",
-          "index=Minahan, Miss. Daisy E<br>Embarked_Southampton=0<br>shap=0.017",
-          "index=Matthews, Mr. William John<br>Embarked_Southampton=1<br>shap=-0.008",
-          "index=Charters, Mr. David<br>Embarked_Southampton=0<br>shap=0.015",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Embarked_Southampton=1<br>shap=-0.011",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Embarked_Southampton=1<br>shap=-0.011",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Peuchen, Major. Arthur Godfrey<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Anderson, Mr. Harry<br>Embarked_Southampton=1<br>shap=-0.006",
-          "index=Milling, Mr. Jacob Christian<br>Embarked_Southampton=1<br>shap=-0.008",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Embarked_Southampton=1<br>shap=-0.012",
-          "index=Karlsson, Mr. Nils August<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Embarked_Southampton=1<br>shap=-0.006",
-          "index=Bishop, Mr. Dickinson H<br>Embarked_Southampton=0<br>shap=0.02",
-          "index=Windelov, Mr. Einar<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Shellard, Mr. Frederick William<br>Embarked_Southampton=1<br>shap=-0.008",
-          "index=Svensson, Mr. Olof<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Embarked_Southampton=0<br>shap=0.034",
-          "index=Laitinen, Miss. Kristina Sofia<br>Embarked_Southampton=1<br>shap=-0.02",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Embarked_Southampton=0<br>shap=0.033",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Embarked_Southampton=1<br>shap=-0.007",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Kassem, Mr. Fared<br>Embarked_Southampton=0<br>shap=0.02",
-          "index=Cacic, Miss. Marija<br>Embarked_Southampton=1<br>shap=-0.02",
-          "index=Hart, Miss. Eva Miriam<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Butt, Major. Archibald Willingham<br>Embarked_Southampton=1<br>shap=-0.007",
-          "index=Beane, Mr. Edward<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Goldsmith, Mr. Frank John<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Ohman, Miss. Velin<br>Embarked_Southampton=1<br>shap=-0.021",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Morrow, Mr. Thomas Rowan<br>Embarked_Southampton=0<br>shap=0.015",
-          "index=Harris, Mr. George<br>Embarked_Southampton=1<br>shap=-0.006",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Patchett, Mr. George<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Ross, Mr. John Hugo<br>Embarked_Southampton=0<br>shap=0.023",
-          "index=Murdlin, Mr. Joseph<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Bourke, Miss. Mary<br>Embarked_Southampton=0<br>shap=0.034",
-          "index=Boulos, Mr. Hanna<br>Embarked_Southampton=0<br>shap=0.018",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Embarked_Southampton=0<br>shap=0.024",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Embarked_Southampton=0<br>shap=0.02",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Daniel, Mr. Robert Williams<br>Embarked_Southampton=1<br>shap=-0.007",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Embarked_Southampton=0<br>shap=0.035",
-          "index=Shutes, Miss. Elizabeth W<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Jardin, Mr. Jose Neto<br>Embarked_Southampton=1<br>shap=-0.006",
-          "index=Horgan, Mr. John<br>Embarked_Southampton=0<br>shap=0.015",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Embarked_Southampton=1<br>shap=-0.017",
-          "index=Yasbeck, Mr. Antoni<br>Embarked_Southampton=0<br>shap=0.027",
-          "index=Bostandyeff, Mr. Guentcho<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Lundahl, Mr. Johan Svensson<br>Embarked_Southampton=1<br>shap=-0.007",
-          "index=Stahelin-Maeglin, Dr. Max<br>Embarked_Southampton=0<br>shap=0.013",
-          "index=Willey, Mr. Edward<br>Embarked_Southampton=1<br>shap=-0.007",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Embarked_Southampton=1<br>shap=-0.018",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Embarked_Southampton=0<br>shap=0.029",
-          "index=Eitemiller, Mr. George Floyd<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Colley, Mr. Edward Pomeroy<br>Embarked_Southampton=1<br>shap=-0.006",
-          "index=Coleff, Mr. Peju<br>Embarked_Southampton=1<br>shap=-0.008",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Embarked_Southampton=1<br>shap=-0.011",
-          "index=Davidson, Mr. Thornton<br>Embarked_Southampton=1<br>shap=-0.008",
-          "index=Turja, Miss. Anna Sofia<br>Embarked_Southampton=1<br>shap=-0.021",
-          "index=Hassab, Mr. Hammad<br>Embarked_Southampton=0<br>shap=0.016",
-          "index=Goodwin, Mr. Charles Edward<br>Embarked_Southampton=1<br>shap=-0.014",
-          "index=Panula, Mr. Jaako Arnold<br>Embarked_Southampton=1<br>shap=-0.012",
-          "index=Fischer, Mr. Eberhard Thelander<br>Embarked_Southampton=1<br>shap=-0.011",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Embarked_Southampton=1<br>shap=-0.007",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Embarked_Southampton=0<br>shap=0.024",
-          "index=Hansen, Mr. Henrik Juul<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Calderhead, Mr. Edward Pennington<br>Embarked_Southampton=1<br>shap=-0.005",
-          "index=Klaber, Mr. Herman<br>Embarked_Southampton=1<br>shap=-0.008",
-          "index=Taylor, Mr. Elmer Zebley<br>Embarked_Southampton=1<br>shap=-0.012",
-          "index=Larsson, Mr. August Viktor<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Greenberg, Mr. Samuel<br>Embarked_Southampton=1<br>shap=-0.008",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Embarked_Southampton=1<br>shap=-0.018",
-          "index=McEvoy, Mr. Michael<br>Embarked_Southampton=0<br>shap=0.013",
-          "index=Johnson, Mr. Malkolm Joackim<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Gillespie, Mr. William Henry<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Allen, Miss. Elisabeth Walton<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Berriman, Mr. William John<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Troupiansky, Mr. Moses Aaron<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Williams, Mr. Leslie<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Ivanoff, Mr. Kanio<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=McNamee, Mr. Neal<br>Embarked_Southampton=1<br>shap=-0.011",
-          "index=Connaghton, Mr. Michael<br>Embarked_Southampton=0<br>shap=0.013",
-          "index=Carlsson, Mr. August Sigfrid<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Eklund, Mr. Hans Linus<br>Embarked_Southampton=1<br>shap=-0.011",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Moran, Mr. Daniel J<br>Embarked_Southampton=0<br>shap=0.021",
-          "index=Lievens, Mr. Rene Aime<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Ayoub, Miss. Banoura<br>Embarked_Southampton=0<br>shap=0.033",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Embarked_Southampton=1<br>shap=-0.012",
-          "index=Johnston, Mr. Andrew G<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Ali, Mr. William<br>Embarked_Southampton=1<br>shap=-0.007",
-          "index=Sjoblom, Miss. Anna Sofia<br>Embarked_Southampton=1<br>shap=-0.017",
-          "index=Guggenheim, Mr. Benjamin<br>Embarked_Southampton=0<br>shap=0.012",
-          "index=Leader, Dr. Alice (Farnham)<br>Embarked_Southampton=1<br>shap=-0.008",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Embarked_Southampton=1<br>shap=-0.01",
-          "index=Carter, Master. William Thornton II<br>Embarked_Southampton=1<br>shap=-0.006",
-          "index=Thomas, Master. Assad Alexander<br>Embarked_Southampton=0<br>shap=0.018",
-          "index=Johansson, Mr. Karl Johan<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Slemen, Mr. Richard James<br>Embarked_Southampton=1<br>shap=-0.008",
-          "index=Tomlin, Mr. Ernest Portage<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=McCormack, Mr. Thomas Joseph<br>Embarked_Southampton=0<br>shap=0.015",
-          "index=Richards, Master. George Sibley<br>Embarked_Southampton=1<br>shap=-0.006",
-          "index=Mudd, Mr. Thomas Charles<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Lemberopolous, Mr. Peter L<br>Embarked_Southampton=0<br>shap=0.018",
-          "index=Sage, Mr. Douglas Bullen<br>Embarked_Southampton=1<br>shap=-0.012",
-          "index=Boulos, Miss. Nourelain<br>Embarked_Southampton=0<br>shap=0.025",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Embarked_Southampton=1<br>shap=-0.014",
-          "index=Razi, Mr. Raihed<br>Embarked_Southampton=0<br>shap=0.02",
-          "index=Johnson, Master. Harold Theodor<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Carlsson, Mr. Frans Olof<br>Embarked_Southampton=1<br>shap=-0.006",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Embarked_Southampton=1<br>shap=-0.009",
-          "index=Montvila, Rev. Juozas<br>Embarked_Southampton=1<br>shap=-0.009"
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-          0.014517509216790486,
-          -0.016608444309000974,
-          0.026975825999246337,
-          -0.009465573869200654,
-          -0.006505483585982298,
-          0.012637581042079515,
-          -0.007383610578901315,
-          -0.017977530232293263,
-          0.029034216100356502,
-          -0.00906890565007899,
-          -0.005518360516516899,
-          -0.007928178563768904,
-          -0.010553825047670952,
-          -0.007664366039395564,
-          -0.02122896621749689,
-          0.015952967770181518,
-          -0.013668398598754895,
-          -0.011612852579603466,
-          -0.010716537372843499,
-          -0.0066830914914626505,
-          0.02443343080493368,
-          -0.010321228428233981,
-          -0.005480568555742006,
-          -0.00824973145844762,
-          -0.012078944882782886,
-          -0.008767577176159773,
-          -0.007739834702208346,
-          -0.018257585996112387,
-          0.012587186234230812,
-          -0.008864047076497893,
-          -0.008545056777472105,
-          -0.010106046677374912,
-          -0.00906890565007899,
-          -0.00906890565007899,
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-          -0.01010203451886668,
-          -0.01054352614175115,
-          0.012887883459732564,
-          -0.008945869729211391,
-          -0.010094344244862932,
-          -0.010668355704107577,
-          -0.009273688872305107,
-          0.020627888700096537,
-          -0.009367309236599876,
-          -0.008717925082898448,
-          0.032670139560239335,
-          -0.011600729653426754,
-          -0.010349665678362919,
-          -0.007266426273882016,
-          -0.01688631987532507,
-          0.011927216258901446,
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-          -0.010000290345609925,
-          -0.005680616911279988,
-          0.018427100282143415,
-          -0.008776806250785831,
-          -0.008141742719581773,
-          -0.008661406787299398,
-          0.014517509216790486,
-          -0.006408128017871895,
-          -0.00876740033896809,
-          0.01823975376392591,
-          -0.012299700183268383,
-          0.025105838423373023,
-          -0.014415485329706495,
-          0.019638677136536227,
-          -0.008851360055589211,
-          -0.005638801389726091,
-          -0.009405556083819227,
-          -0.008576799202826002
+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.002",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.001",
+          "None=Palsson, Master. Gosta Leonard<br>No_of_siblings_plus_spouses_on_board=3<br>shap=0.014",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.000",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.000",
+          "None=Saundercock, Mr. William Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.005",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.001",
+          "None=Glynn, Miss. Mary Agatha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Meyer, Mr. Edgar Joseph<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.000",
+          "None=Kraeff, Mr. Theodor<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Devaney, Miss. Margaret Delia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.000",
+          "None=Rugg, Miss. Emily<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Harris, Mr. Henry Birkhardt<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.001",
+          "None=Skoog, Master. Harald<br>No_of_siblings_plus_spouses_on_board=3<br>shap=0.012",
+          "None=Kink, Mr. Vincenz<br>No_of_siblings_plus_spouses_on_board=2<br>shap=0.001",
+          "None=Hood, Mr. Ambrose Jr<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
+          "None=Ilett, Miss. Bertha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Ford, Mr. William Neal<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.001",
+          "None=Christmann, Mr. Emil<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Andreasson, Mr. Paul Edvin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Chaffee, Mr. Herbert Fuller<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.000",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
+          "None=White, Mr. Richard Frasar<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Rekic, Mr. Tido<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Moran, Miss. Bertha<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.001",
+          "None=Barton, Mr. David John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Jussila, Miss. Katriina<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.004",
+          "None=Pekoniemi, Mr. Edvard<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Turpin, Mr. William John Robert<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.000",
+          "None=Moore, Mr. Leonard Charles<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
+          "None=Osen, Mr. Olaf Elon<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>No_of_siblings_plus_spouses_on_board=2<br>shap=0.002",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.000",
+          "None=Bateman, Rev. Robert James<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Meo, Mr. Alfonzo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Cribb, Mr. John Hatfield<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.001",
+          "None=Van der hoef, Mr. Wyckoff<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.005",
+          "None=Sivola, Mr. Antti Wilhelm<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Klasen, Mr. Klas Albin<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.000",
+          "None=Rood, Mr. Hugh Roscoe<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.003",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Backstrom, Mr. Karl Alfred<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.000",
+          "None=Blank, Mr. Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
+          "None=Ali, Mr. Ahmed<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Green, Mr. George Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Nenkoff, Mr. Christo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
+          "None=Asplund, Miss. Lillian Gertrud<br>No_of_siblings_plus_spouses_on_board=4<br>shap=-0.028",
+          "None=Harknett, Miss. Alice Phoebe<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.005",
+          "None=Hunt, Mr. George Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Reed, Mr. James George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
+          "None=Stead, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Parrish, Mrs. (Lutie Davis)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Smith, Mr. Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Asplund, Master. Edvin Rojj Felix<br>No_of_siblings_plus_spouses_on_board=4<br>shap=0.015",
+          "None=Healy, Miss. Hanora \"Nora\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Andrews, Miss. Kornelia Theodosia<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.007",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.002",
+          "None=Smith, Mr. Richard William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Connolly, Miss. Kate<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.006",
+          "None=Levy, Mr. Rene Jacques<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
+          "None=Lewy, Mr. Ervin G<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
+          "None=Sage, Mr. George John Jr<br>No_of_siblings_plus_spouses_on_board=8<br>shap=0.021",
+          "None=Nysveen, Mr. Johan Hansen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.002",
+          "None=Denkoff, Mr. Mitto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
+          "None=Burns, Miss. Elizabeth Margaret<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
+          "None=Dimic, Mr. Jovan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=del Carlo, Mr. Sebastiano<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.001",
+          "None=Beavan, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.002",
+          "None=Widener, Mr. Harry Elkins<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.000",
+          "None=Gustafsson, Mr. Karl Gideon<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Plotcharsky, Mr. Vasil<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
+          "None=Goodwin, Master. Sidney Leonard<br>No_of_siblings_plus_spouses_on_board=5<br>shap=0.015",
+          "None=Sadlier, Mr. Matthew<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Gustafsson, Mr. Johan Birger<br>No_of_siblings_plus_spouses_on_board=2<br>shap=0.001",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Niskanen, Mr. Juha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Minahan, Miss. Daisy E<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.003",
+          "None=Matthews, Mr. William John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Charters, Mr. David<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.001",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
+          "None=Peuchen, Major. Arthur Godfrey<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Anderson, Mr. Harry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
+          "None=Milling, Mr. Jacob Christian<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.000",
+          "None=Karlsson, Mr. Nils August<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Bishop, Mr. Dickinson H<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
+          "None=Windelov, Mr. Einar<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Shellard, Mr. Frederick William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Svensson, Mr. Olof<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=O'Sullivan, Miss. Bridget Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Laitinen, Miss. Kristina Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.001",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.001",
+          "None=Kassem, Mr. Fared<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Cacic, Miss. Marija<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Hart, Miss. Eva Miriam<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
+          "None=Butt, Major. Archibald Willingham<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.006",
+          "None=Beane, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.000",
+          "None=Goldsmith, Mr. Frank John<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.001",
+          "None=Ohman, Miss. Velin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.003",
+          "None=Morrow, Mr. Thomas Rowan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Harris, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_siblings_plus_spouses_on_board=2<br>shap=-0.002",
+          "None=Patchett, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Ross, Mr. John Hugo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
+          "None=Murdlin, Mr. Joseph<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
+          "None=Bourke, Miss. Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.000",
+          "None=Boulos, Mr. Hanna<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.000",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
+          "None=Lindell, Mr. Edvard Bengtsson<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.000",
+          "None=Daniel, Mr. Robert Williams<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.000",
+          "None=Shutes, Miss. Elizabeth W<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
+          "None=Jardin, Mr. Jose Neto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
+          "None=Horgan, Mr. John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.000",
+          "None=Yasbeck, Mr. Antoni<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.001",
+          "None=Bostandyeff, Mr. Guentcho<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Lundahl, Mr. Johan Svensson<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Stahelin-Maeglin, Dr. Max<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
+          "None=Willey, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Eitemiller, Mr. George Floyd<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Colley, Mr. Edward Pomeroy<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
+          "None=Coleff, Mr. Peju<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.001",
+          "None=Davidson, Mr. Thornton<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
+          "None=Turja, Miss. Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
+          "None=Hassab, Mr. Hammad<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
+          "None=Goodwin, Mr. Charles Edward<br>No_of_siblings_plus_spouses_on_board=5<br>shap=0.013",
+          "None=Panula, Mr. Jaako Arnold<br>No_of_siblings_plus_spouses_on_board=4<br>shap=0.014",
+          "None=Fischer, Mr. Eberhard Thelander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
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-          "index=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>shap=0.008",
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-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>shap=-0.012",
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-          "index=Goodwin, Mr. Charles Edward<br>Age=14.0<br>shap=0.002",
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-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>shap=-0.028",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>shap=0.01",
-          "index=Hansen, Mr. Henrik Juul<br>Age=26.0<br>shap=-0.001",
-          "index=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>shap=-0.03",
-          "index=Klaber, Mr. Herman<br>Age=nan<br>shap=0.029",
-          "index=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>shap=-0.028",
-          "index=Larsson, Mr. August Viktor<br>Age=29.0<br>shap=0.005",
-          "index=Greenberg, Mr. Samuel<br>Age=52.0<br>shap=-0.025",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Age=27.0<br>shap=0.019",
-          "index=McEvoy, Mr. Michael<br>Age=nan<br>shap=0.014",
-          "index=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>shap=-0.01",
-          "index=Gillespie, Mr. William Henry<br>Age=34.0<br>shap=-0.009",
-          "index=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>shap=0.014",
-          "index=Berriman, Mr. William John<br>Age=23.0<br>shap=-0.006",
-          "index=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>shap=-0.006",
-          "index=Williams, Mr. Leslie<br>Age=28.5<br>shap=0.002",
-          "index=Ivanoff, Mr. Kanio<br>Age=nan<br>shap=0.01",
-          "index=McNamee, Mr. Neal<br>Age=24.0<br>shap=-0.005",
-          "index=Connaghton, Mr. Michael<br>Age=31.0<br>shap=0.003",
-          "index=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>shap=0.007",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>shap=0.012",
-          "index=Eklund, Mr. Hans Linus<br>Age=16.0<br>shap=0.006",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>shap=-0.023",
-          "index=Moran, Mr. Daniel J<br>Age=nan<br>shap=0.021",
-          "index=Lievens, Mr. Rene Aime<br>Age=24.0<br>shap=0.0",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>shap=-0.007",
-          "index=Ayoub, Miss. Banoura<br>Age=13.0<br>shap=0.008",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>shap=0.006",
-          "index=Johnston, Mr. Andrew G<br>Age=nan<br>shap=0.041",
-          "index=Ali, Mr. William<br>Age=25.0<br>shap=0.002",
-          "index=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>shap=0.001",
-          "index=Guggenheim, Mr. Benjamin<br>Age=46.0<br>shap=-0.015",
-          "index=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>shap=-0.019",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>shap=0.004",
-          "index=Carter, Master. William Thornton II<br>Age=11.0<br>shap=0.037",
-          "index=Thomas, Master. Assad Alexander<br>Age=0.42<br>shap=0.038",
-          "index=Johansson, Mr. Karl Johan<br>Age=31.0<br>shap=0.009",
-          "index=Slemen, Mr. Richard James<br>Age=35.0<br>shap=-0.011",
-          "index=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>shap=0.006",
-          "index=McCormack, Mr. Thomas Joseph<br>Age=nan<br>shap=0.01",
-          "index=Richards, Master. George Sibley<br>Age=0.83<br>shap=0.059",
-          "index=Mudd, Mr. Thomas Charles<br>Age=16.0<br>shap=0.003",
-          "index=Lemberopolous, Mr. Peter L<br>Age=34.5<br>shap=-0.018",
-          "index=Sage, Mr. Douglas Bullen<br>Age=nan<br>shap=0.014",
-          "index=Boulos, Miss. Nourelain<br>Age=9.0<br>shap=0.012",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>shap=0.001",
-          "index=Razi, Mr. Raihed<br>Age=nan<br>shap=0.01",
-          "index=Johnson, Master. Harold Theodor<br>Age=4.0<br>shap=0.047",
-          "index=Carlsson, Mr. Frans Olof<br>Age=33.0<br>shap=0.002",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>shap=-0.003",
-          "index=Montvila, Rev. Juozas<br>Age=27.0<br>shap=0.001"
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+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=38.0<br>shap=0.001",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=35.0<br>shap=-0.006",
+          "None=Palsson, Master. Gosta Leonard<br>Age=2.0<br>shap=0.007",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=27.0<br>shap=0.005",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>shap=-0.004",
+          "None=Saundercock, Mr. William Henry<br>Age=20.0<br>shap=0.002",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=14.0<br>shap=0.000",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=38.0<br>shap=-0.001",
+          "None=Glynn, Miss. Mary Agatha<br>Age=nan<br>shap=0.001",
+          "None=Meyer, Mr. Edgar Joseph<br>Age=28.0<br>shap=-0.001",
+          "None=Kraeff, Mr. Theodor<br>Age=nan<br>shap=-0.000",
+          "None=Devaney, Miss. Margaret Delia<br>Age=19.0<br>shap=-0.001",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=18.0<br>shap=0.000",
+          "None=Rugg, Miss. Emily<br>Age=21.0<br>shap=-0.001",
+          "None=Harris, Mr. Henry Birkhardt<br>Age=45.0<br>shap=-0.004",
+          "None=Skoog, Master. Harald<br>Age=4.0<br>shap=0.006",
+          "None=Kink, Mr. Vincenz<br>Age=26.0<br>shap=0.002",
+          "None=Hood, Mr. Ambrose Jr<br>Age=21.0<br>shap=0.002",
+          "None=Ilett, Miss. Bertha<br>Age=17.0<br>shap=0.000",
+          "None=Ford, Mr. William Neal<br>Age=16.0<br>shap=-0.002",
+          "None=Christmann, Mr. Emil<br>Age=29.0<br>shap=0.002",
+          "None=Andreasson, Mr. Paul Edvin<br>Age=20.0<br>shap=0.002",
+          "None=Chaffee, Mr. Herbert Fuller<br>Age=46.0<br>shap=-0.005",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=nan<br>shap=0.001",
+          "None=White, Mr. Richard Frasar<br>Age=21.0<br>shap=0.004",
+          "None=Rekic, Mr. Tido<br>Age=38.0<br>shap=0.001",
+          "None=Moran, Miss. Bertha<br>Age=nan<br>shap=0.001",
+          "None=Barton, Mr. David John<br>Age=22.0<br>shap=0.001",
+          "None=Jussila, Miss. Katriina<br>Age=20.0<br>shap=-0.003",
+          "None=Pekoniemi, Mr. Edvard<br>Age=21.0<br>shap=0.002",
+          "None=Turpin, Mr. William John Robert<br>Age=29.0<br>shap=0.000",
+          "None=Moore, Mr. Leonard Charles<br>Age=nan<br>shap=0.001",
+          "None=Osen, Mr. Olaf Elon<br>Age=16.0<br>shap=-0.001",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=9.0<br>shap=-0.004",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=36.5<br>shap=-0.002",
+          "None=Bateman, Rev. Robert James<br>Age=51.0<br>shap=-0.001",
+          "None=Meo, Mr. Alfonzo<br>Age=55.5<br>shap=-0.001",
+          "None=Cribb, Mr. John Hatfield<br>Age=44.0<br>shap=-0.001",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=nan<br>shap=-0.014",
+          "None=Van der hoef, Mr. Wyckoff<br>Age=61.0<br>shap=-0.001",
+          "None=Sivola, Mr. Antti Wilhelm<br>Age=21.0<br>shap=0.002",
+          "None=Klasen, Mr. Klas Albin<br>Age=18.0<br>shap=-0.001",
+          "None=Rood, Mr. Hugh Roscoe<br>Age=nan<br>shap=0.005",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=19.0<br>shap=-0.001",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>shap=0.003",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>shap=0.002",
+          "None=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>shap=0.001",
+          "None=Blank, Mr. Henry<br>Age=40.0<br>shap=-0.004",
+          "None=Ali, Mr. Ahmed<br>Age=24.0<br>shap=0.002",
+          "None=Green, Mr. George Henry<br>Age=51.0<br>shap=-0.000",
+          "None=Nenkoff, Mr. Christo<br>Age=nan<br>shap=0.001",
+          "None=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>shap=-0.009",
+          "None=Harknett, Miss. Alice Phoebe<br>Age=nan<br>shap=-0.002",
+          "None=Hunt, Mr. George Henry<br>Age=33.0<br>shap=0.000",
+          "None=Reed, Mr. James George<br>Age=nan<br>shap=0.001",
+          "None=Stead, Mr. William Thomas<br>Age=62.0<br>shap=-0.001",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Age=nan<br>shap=-0.004",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>shap=0.006",
+          "None=Smith, Mr. Thomas<br>Age=nan<br>shap=-0.001",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>shap=0.008",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Age=nan<br>shap=0.001",
+          "None=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>shap=0.011",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>shap=0.001",
+          "None=Smith, Mr. Richard William<br>Age=nan<br>shap=0.004",
+          "None=Connolly, Miss. Kate<br>Age=22.0<br>shap=-0.002",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>shap=-0.005",
+          "None=Levy, Mr. Rene Jacques<br>Age=36.0<br>shap=0.001",
+          "None=Lewy, Mr. Ervin G<br>Age=nan<br>shap=0.001",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Age=nan<br>shap=0.001",
+          "None=Sage, Mr. George John Jr<br>Age=nan<br>shap=0.010",
+          "None=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>shap=0.000",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=nan<br>shap=-0.008",
+          "None=Denkoff, Mr. Mitto<br>Age=nan<br>shap=0.001",
+          "None=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>shap=0.004",
+          "None=Dimic, Mr. Jovan<br>Age=42.0<br>shap=0.001",
+          "None=del Carlo, Mr. Sebastiano<br>Age=29.0<br>shap=0.000",
+          "None=Beavan, Mr. William Thomas<br>Age=19.0<br>shap=0.002",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=nan<br>shap=-0.005",
+          "None=Widener, Mr. Harry Elkins<br>Age=27.0<br>shap=0.001",
+          "None=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>shap=0.002",
+          "None=Plotcharsky, Mr. Vasil<br>Age=nan<br>shap=0.001",
+          "None=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>shap=0.007",
+          "None=Sadlier, Mr. Matthew<br>Age=nan<br>shap=-0.001",
+          "None=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>shap=0.002",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>shap=0.001",
+          "None=Niskanen, Mr. Juha<br>Age=39.0<br>shap=0.001",
+          "None=Minahan, Miss. Daisy E<br>Age=33.0<br>shap=-0.008",
+          "None=Matthews, Mr. William John<br>Age=30.0<br>shap=0.000",
+          "None=Charters, Mr. David<br>Age=21.0<br>shap=0.002",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=19.0<br>shap=0.000",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>shap=-0.002",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>shap=0.001",
+          "None=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>shap=-0.006",
+          "None=Anderson, Mr. Harry<br>Age=48.0<br>shap=-0.003",
+          "None=Milling, Mr. Jacob Christian<br>Age=48.0<br>shap=0.000",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>shap=0.003",
+          "None=Karlsson, Mr. Nils August<br>Age=22.0<br>shap=0.001",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Age=nan<br>shap=0.000",
+          "None=Bishop, Mr. Dickinson H<br>Age=25.0<br>shap=0.004",
+          "None=Windelov, Mr. Einar<br>Age=21.0<br>shap=0.002",
+          "None=Shellard, Mr. Frederick William<br>Age=nan<br>shap=0.002",
+          "None=Svensson, Mr. Olof<br>Age=24.0<br>shap=0.002",
+          "None=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>shap=0.001",
+          "None=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>shap=0.000",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>shap=0.006",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=nan<br>shap=0.002",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=36.0<br>shap=-0.001",
+          "None=Kassem, Mr. Fared<br>Age=nan<br>shap=-0.000",
+          "None=Cacic, Miss. Marija<br>Age=30.0<br>shap=-0.002",
+          "None=Hart, Miss. Eva Miriam<br>Age=7.0<br>shap=-0.007",
+          "None=Butt, Major. Archibald Willingham<br>Age=45.0<br>shap=-0.003",
+          "None=Beane, Mr. Edward<br>Age=32.0<br>shap=0.001",
+          "None=Goldsmith, Mr. Frank John<br>Age=33.0<br>shap=-0.001",
+          "None=Ohman, Miss. Velin<br>Age=22.0<br>shap=-0.001",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>shap=0.006",
+          "None=Morrow, Mr. Thomas Rowan<br>Age=nan<br>shap=-0.001",
+          "None=Harris, Mr. George<br>Age=62.0<br>shap=0.003",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>shap=0.009",
+          "None=Patchett, Mr. George<br>Age=19.0<br>shap=0.001",
+          "None=Ross, Mr. John Hugo<br>Age=36.0<br>shap=0.003",
+          "None=Murdlin, Mr. Joseph<br>Age=nan<br>shap=0.001",
+          "None=Bourke, Miss. Mary<br>Age=nan<br>shap=-0.006",
+          "None=Boulos, Mr. Hanna<br>Age=nan<br>shap=-0.000",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Age=49.0<br>shap=-0.003",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=35.0<br>shap=-0.001",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>shap=0.000",
+          "None=Daniel, Mr. Robert Williams<br>Age=27.0<br>shap=0.001",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>shap=0.001",
+          "None=Shutes, Miss. Elizabeth W<br>Age=40.0<br>shap=0.004",
+          "None=Jardin, Mr. Jose Neto<br>Age=nan<br>shap=0.001",
+          "None=Horgan, Mr. John<br>Age=nan<br>shap=-0.001",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>shap=0.000",
+          "None=Yasbeck, Mr. Antoni<br>Age=27.0<br>shap=0.001",
+          "None=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>shap=0.002",
+          "None=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>shap=-0.001",
+          "None=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>shap=0.005",
+          "None=Willey, Mr. Edward<br>Age=nan<br>shap=0.001",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>shap=-0.001",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>Age=18.0<br>shap=-0.001",
+          "None=Eitemiller, Mr. George Floyd<br>Age=23.0<br>shap=0.000",
+          "None=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>shap=-0.003",
+          "None=Coleff, Mr. Peju<br>Age=36.0<br>shap=0.000",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>shap=0.002",
+          "None=Davidson, Mr. Thornton<br>Age=31.0<br>shap=0.007",
+          "None=Turja, Miss. Anna Sofia<br>Age=18.0<br>shap=-0.001",
+          "None=Hassab, Mr. Hammad<br>Age=27.0<br>shap=0.001",
+          "None=Goodwin, Mr. Charles Edward<br>Age=14.0<br>shap=0.001",
+          "None=Panula, Mr. Jaako Arnold<br>Age=14.0<br>shap=0.001",
+          "None=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>shap=0.002",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>shap=-0.001",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>shap=-0.009",
+          "None=Hansen, Mr. Henrik Juul<br>Age=26.0<br>shap=0.002",
+          "None=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>shap=-0.002",
+          "None=Klaber, Mr. Herman<br>Age=nan<br>shap=0.006",
+          "None=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>shap=-0.005",
+          "None=Larsson, Mr. August Viktor<br>Age=29.0<br>shap=0.002",
+          "None=Greenberg, Mr. Samuel<br>Age=52.0<br>shap=-0.003",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>Age=27.0<br>shap=-0.002",
+          "None=McEvoy, Mr. Michael<br>Age=nan<br>shap=-0.001",
+          "None=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>shap=0.001",
+          "None=Gillespie, Mr. William Henry<br>Age=34.0<br>shap=0.000",
+          "None=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>shap=-0.008",
+          "None=Berriman, Mr. William John<br>Age=23.0<br>shap=0.000",
+          "None=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>shap=0.000",
+          "None=Williams, Mr. Leslie<br>Age=28.5<br>shap=0.001",
+          "None=Ivanoff, Mr. Kanio<br>Age=nan<br>shap=0.001",
+          "None=McNamee, Mr. Neal<br>Age=24.0<br>shap=0.001",
+          "None=Connaghton, Mr. Michael<br>Age=31.0<br>shap=0.006",
+          "None=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>shap=0.002",
+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>shap=-0.010",
+          "None=Eklund, Mr. Hans Linus<br>Age=16.0<br>shap=-0.001",
+          "None=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>shap=0.010",
+          "None=Moran, Mr. Daniel J<br>Age=nan<br>shap=-0.001",
+          "None=Lievens, Mr. Rene Aime<br>Age=24.0<br>shap=0.002",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>shap=0.007",
+          "None=Ayoub, Miss. Banoura<br>Age=13.0<br>shap=-0.002",
+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>shap=-0.011",
+          "None=Johnston, Mr. Andrew G<br>Age=nan<br>shap=0.006",
+          "None=Ali, Mr. William<br>Age=25.0<br>shap=0.001",
+          "None=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>shap=-0.001",
+          "None=Guggenheim, Mr. Benjamin<br>Age=46.0<br>shap=-0.001",
+          "None=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>shap=0.006",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>shap=0.004",
+          "None=Carter, Master. William Thornton II<br>Age=11.0<br>shap=0.006",
+          "None=Thomas, Master. Assad Alexander<br>Age=0.42<br>shap=0.002",
+          "None=Johansson, Mr. Karl Johan<br>Age=31.0<br>shap=0.002",
+          "None=Slemen, Mr. Richard James<br>Age=35.0<br>shap=0.000",
+          "None=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>shap=0.002",
+          "None=McCormack, Mr. Thomas Joseph<br>Age=nan<br>shap=-0.001",
+          "None=Richards, Master. George Sibley<br>Age=0.83<br>shap=0.005",
+          "None=Mudd, Mr. Thomas Charles<br>Age=16.0<br>shap=-0.001",
+          "None=Lemberopolous, Mr. Peter L<br>Age=34.5<br>shap=0.000",
+          "None=Sage, Mr. Douglas Bullen<br>Age=nan<br>shap=0.010",
+          "None=Boulos, Miss. Nourelain<br>Age=9.0<br>shap=-0.003",
+          "None=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>shap=0.002",
+          "None=Razi, Mr. Raihed<br>Age=nan<br>shap=-0.000",
+          "None=Johnson, Master. Harold Theodor<br>Age=4.0<br>shap=0.003",
+          "None=Carlsson, Mr. Frans Olof<br>Age=33.0<br>shap=0.004",
+          "None=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>shap=0.002",
+          "None=Montvila, Rev. Juozas<br>Age=27.0<br>shap=0.000"
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-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>No_of_parents_plus_children_on_board=0<br>shap=0.006",
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-          "index=Asplund, Master. Edvin Rojj Felix<br>No_of_parents_plus_children_on_board=2<br>shap=0.036",
-          "index=Healy, Miss. Hanora \"Nora\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Andrews, Miss. Kornelia Theodosia<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_parents_plus_children_on_board=1<br>shap=0.016",
-          "index=Smith, Mr. Richard William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Connolly, Miss. Kate<br>No_of_parents_plus_children_on_board=0<br>shap=0.002",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
-          "index=Levy, Mr. Rene Jacques<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
-          "index=Lewy, Mr. Ervin G<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
-          "index=Sage, Mr. George John Jr<br>No_of_parents_plus_children_on_board=2<br>shap=0.017",
-          "index=Nysveen, Mr. Johan Hansen<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Denkoff, Mr. Mitto<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
-          "index=Burns, Miss. Elizabeth Margaret<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Dimic, Mr. Jovan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=del Carlo, Mr. Sebastiano<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
-          "index=Beavan, Mr. William Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Widener, Mr. Harry Elkins<br>No_of_parents_plus_children_on_board=2<br>shap=0.022",
-          "index=Gustafsson, Mr. Karl Gideon<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Plotcharsky, Mr. Vasil<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
-          "index=Goodwin, Master. Sidney Leonard<br>No_of_parents_plus_children_on_board=2<br>shap=0.034",
-          "index=Sadlier, Mr. Matthew<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Gustafsson, Mr. Johan Birger<br>No_of_parents_plus_children_on_board=0<br>shap=-0.008",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_parents_plus_children_on_board=2<br>shap=0.023",
-          "index=Niskanen, Mr. Juha<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Minahan, Miss. Daisy E<br>No_of_parents_plus_children_on_board=0<br>shap=0.006",
-          "index=Matthews, Mr. William John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Charters, Mr. David<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_parents_plus_children_on_board=1<br>shap=0.012",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
-          "index=Peuchen, Major. Arthur Godfrey<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
-          "index=Anderson, Mr. Harry<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
-          "index=Milling, Mr. Jacob Christian<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_parents_plus_children_on_board=2<br>shap=0.011",
-          "index=Karlsson, Mr. Nils August<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_parents_plus_children_on_board=0<br>shap=-0.013",
-          "index=Bishop, Mr. Dickinson H<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Windelov, Mr. Einar<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Shellard, Mr. Frederick William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
-          "index=Svensson, Mr. Olof<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=O'Sullivan, Miss. Bridget Mary<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Laitinen, Miss. Kristina Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=0.002",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
-          "index=Kassem, Mr. Fared<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Cacic, Miss. Marija<br>No_of_parents_plus_children_on_board=0<br>shap=0.0",
-          "index=Hart, Miss. Eva Miriam<br>No_of_parents_plus_children_on_board=2<br>shap=0.027",
-          "index=Butt, Major. Archibald Willingham<br>No_of_parents_plus_children_on_board=0<br>shap=0.0",
-          "index=Beane, Mr. Edward<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Goldsmith, Mr. Frank John<br>No_of_parents_plus_children_on_board=1<br>shap=0.029",
-          "index=Ohman, Miss. Velin<br>No_of_parents_plus_children_on_board=0<br>shap=0.0",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_parents_plus_children_on_board=1<br>shap=0.01",
-          "index=Morrow, Mr. Thomas Rowan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Harris, Mr. George<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_parents_plus_children_on_board=0<br>shap=0.006",
-          "index=Patchett, Mr. George<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Ross, Mr. John Hugo<br>No_of_parents_plus_children_on_board=0<br>shap=0.0",
-          "index=Murdlin, Mr. Joseph<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
-          "index=Bourke, Miss. Mary<br>No_of_parents_plus_children_on_board=2<br>shap=0.018",
-          "index=Boulos, Mr. Hanna<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_parents_plus_children_on_board=0<br>shap=0.004",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Lindell, Mr. Edvard Bengtsson<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
-          "index=Daniel, Mr. Robert Williams<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_parents_plus_children_on_board=2<br>shap=0.02",
-          "index=Shutes, Miss. Elizabeth W<br>No_of_parents_plus_children_on_board=0<br>shap=0.004",
-          "index=Jardin, Mr. Jose Neto<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
-          "index=Horgan, Mr. John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_parents_plus_children_on_board=0<br>shap=0.0",
-          "index=Yasbeck, Mr. Antoni<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Bostandyeff, Mr. Guentcho<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Lundahl, Mr. Johan Svensson<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Stahelin-Maeglin, Dr. Max<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
-          "index=Willey, Mr. Edward<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>No_of_parents_plus_children_on_board=0<br>shap=0.0",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Eitemiller, Mr. George Floyd<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Colley, Mr. Edward Pomeroy<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
-          "index=Coleff, Mr. Peju<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_parents_plus_children_on_board=1<br>shap=0.012",
-          "index=Davidson, Mr. Thornton<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
-          "index=Turja, Miss. Anna Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=-0.0",
-          "index=Hassab, Mr. Hammad<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Goodwin, Mr. Charles Edward<br>No_of_parents_plus_children_on_board=2<br>shap=0.025",
-          "index=Panula, Mr. Jaako Arnold<br>No_of_parents_plus_children_on_board=1<br>shap=0.011",
-          "index=Fischer, Mr. Eberhard Thelander<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_parents_plus_children_on_board=0<br>shap=-0.009",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_parents_plus_children_on_board=0<br>shap=0.004",
-          "index=Hansen, Mr. Henrik Juul<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Calderhead, Mr. Edward Pennington<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
-          "index=Klaber, Mr. Herman<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Taylor, Mr. Elmer Zebley<br>No_of_parents_plus_children_on_board=0<br>shap=0.002",
-          "index=Larsson, Mr. August Viktor<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Greenberg, Mr. Samuel<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=McEvoy, Mr. Michael<br>No_of_parents_plus_children_on_board=0<br>shap=-0.013",
-          "index=Johnson, Mr. Malkolm Joackim<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Gillespie, Mr. William Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Allen, Miss. Elisabeth Walton<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
-          "index=Berriman, Mr. William John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Troupiansky, Mr. Moses Aaron<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Williams, Mr. Leslie<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Ivanoff, Mr. Kanio<br>No_of_parents_plus_children_on_board=0<br>shap=-0.012",
-          "index=McNamee, Mr. Neal<br>No_of_parents_plus_children_on_board=0<br>shap=-0.01",
-          "index=Connaghton, Mr. Michael<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Carlsson, Mr. August Sigfrid<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
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-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
-          "index=Moran, Mr. Daniel J<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Lievens, Mr. Rene Aime<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
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-          "index=Ali, Mr. William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.007",
-          "index=Sjoblom, Miss. Anna Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=0.0",
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-          "index=Leader, Dr. Alice (Farnham)<br>No_of_parents_plus_children_on_board=0<br>shap=0.004",
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-          "index=Lemberopolous, Mr. Peter L<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
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Daisy E<br>Age=33.0<br>shap=-0.008\", \"None=Matthews, Mr. William John<br>Age=30.0<br>shap=0.000\", \"None=Charters, Mr. David<br>Age=21.0<br>shap=0.002\", \"None=Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Age=19.0<br>shap=0.000\", \"None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>shap=-0.002\", \"None=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>shap=0.001\", \"None=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>shap=-0.006\", \"None=Anderson, Mr. Harry<br>Age=48.0<br>shap=-0.003\", \"None=Milling, Mr. Jacob Christian<br>Age=48.0<br>shap=0.000\", \"None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>shap=0.003\", \"None=Karlsson, Mr. Nils August<br>Age=22.0<br>shap=0.001\", \"None=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Age=nan<br>shap=0.000\", \"None=Bishop, Mr. Dickinson H<br>Age=25.0<br>shap=0.004\", \"None=Windelov, Mr. Einar<br>Age=21.0<br>shap=0.002\", \"None=Shellard, Mr. Frederick William<br>Age=nan<br>shap=0.002\", \"None=Svensson, Mr. Olof<br>Age=24.0<br>shap=0.002\", \"None=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>shap=0.001\", \"None=Laitinen, Miss. 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Velin<br>Age=22.0<br>shap=-0.001\", \"None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>shap=0.006\", \"None=Morrow, Mr. Thomas Rowan<br>Age=nan<br>shap=-0.001\", \"None=Harris, Mr. George<br>Age=62.0<br>shap=0.003\", \"None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>shap=0.009\", \"None=Patchett, Mr. George<br>Age=19.0<br>shap=0.001\", \"None=Ross, Mr. John Hugo<br>Age=36.0<br>shap=0.003\", \"None=Murdlin, Mr. Joseph<br>Age=nan<br>shap=0.001\", \"None=Bourke, Miss. Mary<br>Age=nan<br>shap=-0.006\", \"None=Boulos, Mr. Hanna<br>Age=nan<br>shap=-0.000\", \"None=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Age=49.0<br>shap=-0.003\", \"None=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Age=35.0<br>shap=-0.001\", \"None=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>shap=0.000\", \"None=Daniel, Mr. Robert Williams<br>Age=27.0<br>shap=0.001\", \"None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>shap=0.001\", \"None=Shutes, Miss. 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+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "explainer.plot_interactions_detailed(\"Sex\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Contributions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T15:57:24.266501Z",
+     "start_time": "2021-01-20T15:57:24.197416Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>col</th>\n",
+       "      <th>contribution</th>\n",
+       "      <th>value</th>\n",
+       "      <th>cumulative</th>\n",
+       "      <th>base</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>_BASE</td>\n",
+       "      <td>0.393227</td>\n",
+       "      <td></td>\n",
+       "      <td>0.393227</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Sex</td>\n",
+       "      <td>0.279251</td>\n",
+       "      <td>female</td>\n",
+       "      <td>0.672478</td>\n",
+       "      <td>0.393227</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>PassengerClass</td>\n",
+       "      <td>0.069782</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.742260</td>\n",
+       "      <td>0.672478</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Fare</td>\n",
+       "      <td>0.060863</td>\n",
+       "      <td>71.2833</td>\n",
+       "      <td>0.803123</td>\n",
+       "      <td>0.742260</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Deck</td>\n",
+       "      <td>0.042137</td>\n",
+       "      <td>C</td>\n",
+       "      <td>0.845261</td>\n",
+       "      <td>0.803123</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Embarked</td>\n",
+       "      <td>0.039712</td>\n",
+       "      <td>Cherbourg</td>\n",
+       "      <td>0.884973</td>\n",
+       "      <td>0.845261</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Age</td>\n",
+       "      <td>-0.015436</td>\n",
+       "      <td>38.0000</td>\n",
+       "      <td>0.869537</td>\n",
+       "      <td>0.884973</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>No_of_parents_plus_children_on_board</td>\n",
+       "      <td>0.006844</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.876381</td>\n",
+       "      <td>0.869537</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>No_of_siblings_plus_spouses_on_board</td>\n",
+       "      <td>0.005441</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.881822</td>\n",
+       "      <td>0.876381</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>_REST</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td></td>\n",
+       "      <td>0.881822</td>\n",
+       "      <td>0.881822</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>_PREDICTION</td>\n",
+       "      <td>0.881822</td>\n",
+       "      <td></td>\n",
+       "      <td>0.881822</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                     col  contribution      value  cumulative  \\\n",
+       "0                                  _BASE      0.393227               0.393227   \n",
+       "1                                    Sex      0.279251     female    0.672478   \n",
+       "2                         PassengerClass      0.069782          1    0.742260   \n",
+       "3                                   Fare      0.060863    71.2833    0.803123   \n",
+       "4                                   Deck      0.042137          C    0.845261   \n",
+       "5                               Embarked      0.039712  Cherbourg    0.884973   \n",
+       "6                                    Age     -0.015436    38.0000    0.869537   \n",
+       "7   No_of_parents_plus_children_on_board      0.006844          0    0.876381   \n",
+       "8   No_of_siblings_plus_spouses_on_board      0.005441          1    0.881822   \n",
+       "9                                  _REST      0.000000               0.881822   \n",
+       "10                           _PREDICTION      0.881822               0.881822   \n",
+       "\n",
+       "        base  \n",
+       "0   0.000000  \n",
+       "1   0.393227  \n",
+       "2   0.672478  \n",
+       "3   0.742260  \n",
+       "4   0.803123  \n",
+       "5   0.845261  \n",
+       "6   0.884973  \n",
+       "7   0.869537  \n",
+       "8   0.876381  \n",
+       "9   0.881822  \n",
+       "10  0.000000  "
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "index = 0 # explain prediction for first row of X_test\n",
+    "explainer.contrib_df(index, topx=8)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T15:57:34.321812Z",
+     "start_time": "2021-01-20T15:57:34.223263Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
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+       },
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+         "marker": {
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          },
-         "mode": "markers",
-         "name": "Embarked_Cherbourg",
-         "opacity": 0.8,
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-         "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Embarked_Cherbourg=1<br>shap=0.013",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Palsson, Master. Gosta Leonard<br>Embarked_Cherbourg=0<br>shap=-0.009",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Embarked_Cherbourg=1<br>shap=0.011",
-          "index=Saundercock, Mr. William Henry<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Embarked_Cherbourg=0<br>shap=-0.006",
-          "index=Glynn, Miss. Mary Agatha<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Meyer, Mr. Edgar Joseph<br>Embarked_Cherbourg=1<br>shap=0.028",
-          "index=Kraeff, Mr. Theodor<br>Embarked_Cherbourg=1<br>shap=0.023",
-          "index=Devaney, Miss. Margaret Delia<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Rugg, Miss. Emily<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Harris, Mr. Henry Birkhardt<br>Embarked_Cherbourg=0<br>shap=-0.006",
-          "index=Skoog, Master. Harald<br>Embarked_Cherbourg=0<br>shap=-0.009",
-          "index=Kink, Mr. Vincenz<br>Embarked_Cherbourg=0<br>shap=-0.01",
-          "index=Hood, Mr. Ambrose Jr<br>Embarked_Cherbourg=0<br>shap=-0.003",
-          "index=Ilett, Miss. Bertha<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Ford, Mr. William Neal<br>Embarked_Cherbourg=0<br>shap=-0.008",
-          "index=Christmann, Mr. Emil<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Andreasson, Mr. Paul Edvin<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Chaffee, Mr. Herbert Fuller<br>Embarked_Cherbourg=0<br>shap=-0.006",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=White, Mr. Richard Frasar<br>Embarked_Cherbourg=0<br>shap=-0.009",
-          "index=Rekic, Mr. Tido<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Moran, Miss. Bertha<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Barton, Mr. David John<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Jussila, Miss. Katriina<br>Embarked_Cherbourg=0<br>shap=-0.006",
-          "index=Pekoniemi, Mr. Edvard<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Turpin, Mr. William John Robert<br>Embarked_Cherbourg=0<br>shap=-0.008",
-          "index=Moore, Mr. Leonard Charles<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Osen, Mr. Olaf Elon<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Embarked_Cherbourg=0<br>shap=-0.007",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Embarked_Cherbourg=0<br>shap=-0.006",
-          "index=Bateman, Rev. Robert James<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Meo, Mr. Alfonzo<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Cribb, Mr. John Hatfield<br>Embarked_Cherbourg=0<br>shap=-0.01",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Embarked_Cherbourg=0<br>shap=-0.003",
-          "index=Van der hoef, Mr. Wyckoff<br>Embarked_Cherbourg=0<br>shap=0.003",
-          "index=Sivola, Mr. Antti Wilhelm<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Klasen, Mr. Klas Albin<br>Embarked_Cherbourg=0<br>shap=-0.009",
-          "index=Rood, Mr. Hugh Roscoe<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Embarked_Cherbourg=0<br>shap=-0.006",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Embarked_Cherbourg=1<br>shap=0.003",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Backstrom, Mr. Karl Alfred<br>Embarked_Cherbourg=0<br>shap=-0.009",
-          "index=Blank, Mr. Henry<br>Embarked_Cherbourg=1<br>shap=0.013",
-          "index=Ali, Mr. Ahmed<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Green, Mr. George Henry<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Nenkoff, Mr. Christo<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Asplund, Miss. Lillian Gertrud<br>Embarked_Cherbourg=0<br>shap=-0.008",
-          "index=Harknett, Miss. Alice Phoebe<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Hunt, Mr. George Henry<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Reed, Mr. James George<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Stead, Mr. William Thomas<br>Embarked_Cherbourg=0<br>shap=-0.003",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Embarked_Cherbourg=1<br>shap=0.013",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Embarked_Cherbourg=0<br>shap=-0.002",
-          "index=Smith, Mr. Thomas<br>Embarked_Cherbourg=0<br>shap=-0.008",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Embarked_Cherbourg=0<br>shap=-0.009",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Smith, Mr. Richard William<br>Embarked_Cherbourg=0<br>shap=-0.002",
-          "index=Connolly, Miss. Kate<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Embarked_Cherbourg=1<br>shap=0.01",
-          "index=Levy, Mr. Rene Jacques<br>Embarked_Cherbourg=1<br>shap=0.024",
-          "index=Lewy, Mr. Ervin G<br>Embarked_Cherbourg=1<br>shap=0.022",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Sage, Mr. George John Jr<br>Embarked_Cherbourg=0<br>shap=-0.008",
-          "index=Nysveen, Mr. Johan Hansen<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Embarked_Cherbourg=0<br>shap=-0.002",
-          "index=Denkoff, Mr. Mitto<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Burns, Miss. Elizabeth Margaret<br>Embarked_Cherbourg=1<br>shap=0.01",
-          "index=Dimic, Mr. Jovan<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=del Carlo, Mr. Sebastiano<br>Embarked_Cherbourg=1<br>shap=0.034",
-          "index=Beavan, Mr. William Thomas<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Embarked_Cherbourg=1<br>shap=0.01",
-          "index=Widener, Mr. Harry Elkins<br>Embarked_Cherbourg=1<br>shap=0.029",
-          "index=Gustafsson, Mr. Karl Gideon<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Plotcharsky, Mr. Vasil<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Goodwin, Master. Sidney Leonard<br>Embarked_Cherbourg=0<br>shap=-0.009",
-          "index=Sadlier, Mr. Matthew<br>Embarked_Cherbourg=0<br>shap=-0.008",
-          "index=Gustafsson, Mr. Johan Birger<br>Embarked_Cherbourg=0<br>shap=-0.01",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Embarked_Cherbourg=0<br>shap=-0.006",
-          "index=Niskanen, Mr. Juha<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Minahan, Miss. Daisy E<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Matthews, Mr. William John<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Charters, Mr. David<br>Embarked_Cherbourg=0<br>shap=-0.008",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Embarked_Cherbourg=0<br>shap=-0.003",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Embarked_Cherbourg=0<br>shap=-0.002",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Peuchen, Major. Arthur Godfrey<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Anderson, Mr. Harry<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Milling, Mr. Jacob Christian<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Embarked_Cherbourg=0<br>shap=-0.002",
-          "index=Karlsson, Mr. Nils August<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Embarked_Cherbourg=0<br>shap=-0.006",
-          "index=Bishop, Mr. Dickinson H<br>Embarked_Cherbourg=1<br>shap=0.023",
-          "index=Windelov, Mr. Einar<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Shellard, Mr. Frederick William<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Svensson, Mr. Olof<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Laitinen, Miss. Kristina Sofia<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Embarked_Cherbourg=1<br>shap=0.03",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Embarked_Cherbourg=0<br>shap=-0.002",
-          "index=Kassem, Mr. Fared<br>Embarked_Cherbourg=1<br>shap=0.023",
-          "index=Cacic, Miss. Marija<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Hart, Miss. Eva Miriam<br>Embarked_Cherbourg=0<br>shap=-0.002",
-          "index=Butt, Major. Archibald Willingham<br>Embarked_Cherbourg=0<br>shap=0.003",
-          "index=Beane, Mr. Edward<br>Embarked_Cherbourg=0<br>shap=-0.007",
-          "index=Goldsmith, Mr. Frank John<br>Embarked_Cherbourg=0<br>shap=-0.008",
-          "index=Ohman, Miss. Velin<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Morrow, Mr. Thomas Rowan<br>Embarked_Cherbourg=0<br>shap=-0.008",
-          "index=Harris, Mr. George<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Embarked_Cherbourg=0<br>shap=-0.006",
-          "index=Patchett, Mr. George<br>Embarked_Cherbourg=0<br>shap=-0.006",
-          "index=Ross, Mr. John Hugo<br>Embarked_Cherbourg=1<br>shap=0.019",
-          "index=Murdlin, Mr. Joseph<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Bourke, Miss. Mary<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Boulos, Mr. Hanna<br>Embarked_Cherbourg=1<br>shap=0.023",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Embarked_Cherbourg=1<br>shap=0.026",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Embarked_Cherbourg=1<br>shap=0.015",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Embarked_Cherbourg=0<br>shap=-0.009",
-          "index=Daniel, Mr. Robert Williams<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Embarked_Cherbourg=1<br>shap=0.012",
-          "index=Shutes, Miss. Elizabeth W<br>Embarked_Cherbourg=0<br>shap=-0.003",
-          "index=Jardin, Mr. Jose Neto<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Horgan, Mr. John<br>Embarked_Cherbourg=0<br>shap=-0.008",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Yasbeck, Mr. Antoni<br>Embarked_Cherbourg=1<br>shap=0.037",
-          "index=Bostandyeff, Mr. Guentcho<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Lundahl, Mr. Johan Svensson<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Stahelin-Maeglin, Dr. Max<br>Embarked_Cherbourg=1<br>shap=0.007",
-          "index=Willey, Mr. Edward<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Eitemiller, Mr. George Floyd<br>Embarked_Cherbourg=0<br>shap=-0.006",
-          "index=Colley, Mr. Edward Pomeroy<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Coleff, Mr. Peju<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Embarked_Cherbourg=0<br>shap=-0.002",
-          "index=Davidson, Mr. Thornton<br>Embarked_Cherbourg=0<br>shap=-0.008",
-          "index=Turja, Miss. Anna Sofia<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Hassab, Mr. Hammad<br>Embarked_Cherbourg=1<br>shap=0.02",
-          "index=Goodwin, Mr. Charles Edward<br>Embarked_Cherbourg=0<br>shap=-0.01",
-          "index=Panula, Mr. Jaako Arnold<br>Embarked_Cherbourg=0<br>shap=-0.01",
-          "index=Fischer, Mr. Eberhard Thelander<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Embarked_Cherbourg=1<br>shap=0.019",
-          "index=Hansen, Mr. Henrik Juul<br>Embarked_Cherbourg=0<br>shap=-0.008",
-          "index=Calderhead, Mr. Edward Pennington<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Klaber, Mr. Herman<br>Embarked_Cherbourg=0<br>shap=-0.007",
-          "index=Taylor, Mr. Elmer Zebley<br>Embarked_Cherbourg=0<br>shap=-0.007",
-          "index=Larsson, Mr. August Viktor<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Greenberg, Mr. Samuel<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=McEvoy, Mr. Michael<br>Embarked_Cherbourg=0<br>shap=-0.01",
-          "index=Johnson, Mr. Malkolm Joackim<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Gillespie, Mr. William Henry<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Allen, Miss. Elisabeth Walton<br>Embarked_Cherbourg=0<br>shap=-0.002",
-          "index=Berriman, Mr. William John<br>Embarked_Cherbourg=0<br>shap=-0.006",
-          "index=Troupiansky, Mr. Moses Aaron<br>Embarked_Cherbourg=0<br>shap=-0.006",
-          "index=Williams, Mr. Leslie<br>Embarked_Cherbourg=0<br>shap=-0.007",
-          "index=Ivanoff, Mr. Kanio<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=McNamee, Mr. Neal<br>Embarked_Cherbourg=0<br>shap=-0.011",
-          "index=Connaghton, Mr. Michael<br>Embarked_Cherbourg=0<br>shap=-0.007",
-          "index=Carlsson, Mr. August Sigfrid<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Embarked_Cherbourg=0<br>shap=0.001",
-          "index=Eklund, Mr. Hans Linus<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Moran, Mr. Daniel J<br>Embarked_Cherbourg=0<br>shap=-0.009",
-          "index=Lievens, Mr. Rene Aime<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Embarked_Cherbourg=0<br>shap=-0.002",
-          "index=Ayoub, Miss. Banoura<br>Embarked_Cherbourg=1<br>shap=0.018",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Embarked_Cherbourg=0<br>shap=-0.006",
-          "index=Johnston, Mr. Andrew G<br>Embarked_Cherbourg=0<br>shap=-0.007",
-          "index=Ali, Mr. William<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Sjoblom, Miss. Anna Sofia<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Guggenheim, Mr. Benjamin<br>Embarked_Cherbourg=1<br>shap=0.006",
-          "index=Leader, Dr. Alice (Farnham)<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Embarked_Cherbourg=0<br>shap=-0.002",
-          "index=Carter, Master. William Thornton II<br>Embarked_Cherbourg=0<br>shap=-0.006",
-          "index=Thomas, Master. Assad Alexander<br>Embarked_Cherbourg=1<br>shap=0.026",
-          "index=Johansson, Mr. Karl Johan<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Slemen, Mr. Richard James<br>Embarked_Cherbourg=0<br>shap=-0.004",
-          "index=Tomlin, Mr. Ernest Portage<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=McCormack, Mr. Thomas Joseph<br>Embarked_Cherbourg=0<br>shap=-0.008",
-          "index=Richards, Master. George Sibley<br>Embarked_Cherbourg=0<br>shap=-0.008",
-          "index=Mudd, Mr. Thomas Charles<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Lemberopolous, Mr. Peter L<br>Embarked_Cherbourg=1<br>shap=0.018",
-          "index=Sage, Mr. Douglas Bullen<br>Embarked_Cherbourg=0<br>shap=-0.008",
-          "index=Boulos, Miss. Nourelain<br>Embarked_Cherbourg=1<br>shap=0.016",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Razi, Mr. Raihed<br>Embarked_Cherbourg=1<br>shap=0.023",
-          "index=Johnson, Master. Harold Theodor<br>Embarked_Cherbourg=0<br>shap=-0.007",
-          "index=Carlsson, Mr. Frans Olof<br>Embarked_Cherbourg=0<br>shap=0.001",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Embarked_Cherbourg=0<br>shap=-0.005",
-          "index=Montvila, Rev. Juozas<br>Embarked_Cherbourg=0<br>shap=-0.006"
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-          "index=Backstrom, Mr. Karl Alfred<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
-          "index=Blank, Mr. Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
-          "index=Ali, Mr. Ahmed<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Green, Mr. George Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Nenkoff, Mr. Christo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Asplund, Miss. Lillian Gertrud<br>No_of_siblings_plus_spouses_on_board=4<br>shap=-0.091",
-          "index=Harknett, Miss. Alice Phoebe<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.007",
-          "index=Hunt, Mr. George Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Reed, Mr. James George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Stead, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.009",
-          "index=Parrish, Mrs. (Lutie Davis)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.014",
-          "index=Smith, Mr. Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.0",
-          "index=Asplund, Master. Edvin Rojj Felix<br>No_of_siblings_plus_spouses_on_board=4<br>shap=-0.079",
-          "index=Healy, Miss. Hanora \"Nora\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.007",
-          "index=Andrews, Miss. Kornelia Theodosia<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.001",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.002",
-          "index=Smith, Mr. Richard William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Connolly, Miss. Kate<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.006",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.007",
-          "index=Levy, Mr. Rene Jacques<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.004",
-          "index=Lewy, Mr. Ervin G<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Sage, Mr. George John Jr<br>No_of_siblings_plus_spouses_on_board=8<br>shap=-0.085",
-          "index=Nysveen, Mr. Johan Hansen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.005",
-          "index=Denkoff, Mr. Mitto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Burns, Miss. Elizabeth Margaret<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Dimic, Mr. Jovan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=del Carlo, Mr. Sebastiano<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.008",
-          "index=Beavan, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.006",
-          "index=Widener, Mr. Harry Elkins<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
-          "index=Gustafsson, Mr. Karl Gideon<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Plotcharsky, Mr. Vasil<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Goodwin, Master. Sidney Leonard<br>No_of_siblings_plus_spouses_on_board=5<br>shap=-0.081",
-          "index=Sadlier, Mr. Matthew<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.0",
-          "index=Gustafsson, Mr. Johan Birger<br>No_of_siblings_plus_spouses_on_board=2<br>shap=-0.0",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.007",
-          "index=Niskanen, Mr. Juha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Minahan, Miss. Daisy E<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.005",
-          "index=Matthews, Mr. William John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Charters, Mr. David<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.0",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.008",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.001",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Peuchen, Major. Arthur Godfrey<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
-          "index=Anderson, Mr. Harry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Milling, Mr. Jacob Christian<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.001",
-          "index=Karlsson, Mr. Nils August<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Bishop, Mr. Dickinson H<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.025",
-          "index=Windelov, Mr. Einar<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Shellard, Mr. Frederick William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Svensson, Mr. Olof<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=O'Sullivan, Miss. Bridget Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.007",
-          "index=Laitinen, Miss. Kristina Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.005",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.01",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.001",
-          "index=Kassem, Mr. Fared<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.0",
-          "index=Cacic, Miss. Marija<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.006",
-          "index=Hart, Miss. Eva Miriam<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.017",
-          "index=Butt, Major. Archibald Willingham<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.0",
-          "index=Beane, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
-          "index=Goldsmith, Mr. Frank John<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.008",
-          "index=Ohman, Miss. Velin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.005",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.005",
-          "index=Morrow, Mr. Thomas Rowan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.0",
-          "index=Harris, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_siblings_plus_spouses_on_board=2<br>shap=-0.003",
-          "index=Patchett, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Ross, Mr. John Hugo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
-          "index=Murdlin, Mr. Joseph<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Bourke, Miss. Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.011",
-          "index=Boulos, Mr. Hanna<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.0",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.013",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.0",
-          "index=Lindell, Mr. Edvard Bengtsson<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
-          "index=Daniel, Mr. Robert Williams<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.001",
-          "index=Shutes, Miss. Elizabeth W<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.007",
-          "index=Jardin, Mr. Jose Neto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Horgan, Mr. John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.0",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.0",
-          "index=Yasbeck, Mr. Antoni<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.008",
-          "index=Bostandyeff, Mr. Guentcho<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Lundahl, Mr. Johan Svensson<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Stahelin-Maeglin, Dr. Max<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.006",
-          "index=Willey, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.005",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.006",
-          "index=Eitemiller, Mr. George Floyd<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Colley, Mr. Edward Pomeroy<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Coleff, Mr. Peju<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
-          "index=Davidson, Mr. Thornton<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.012",
-          "index=Turja, Miss. Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.005",
-          "index=Hassab, Mr. Hammad<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.004",
-          "index=Goodwin, Mr. Charles Edward<br>No_of_siblings_plus_spouses_on_board=5<br>shap=-0.074",
-          "index=Panula, Mr. Jaako Arnold<br>No_of_siblings_plus_spouses_on_board=4<br>shap=-0.064",
-          "index=Fischer, Mr. Eberhard Thelander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.005",
-          "index=Hansen, Mr. Henrik Juul<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.003",
-          "index=Calderhead, Mr. Edward Pennington<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Klaber, Mr. Herman<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
-          "index=Taylor, Mr. Elmer Zebley<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.005",
-          "index=Larsson, Mr. August Viktor<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Greenberg, Mr. Samuel<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
-          "index=McEvoy, Mr. Michael<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Johnson, Mr. Malkolm Joackim<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Gillespie, Mr. William Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Allen, Miss. Elisabeth Walton<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.007",
-          "index=Berriman, Mr. William John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Troupiansky, Mr. Moses Aaron<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Williams, Mr. Leslie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Ivanoff, Mr. Kanio<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=McNamee, Mr. Neal<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
-          "index=Connaghton, Mr. Michael<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.0",
-          "index=Carlsson, Mr. August Sigfrid<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.007",
-          "index=Eklund, Mr. Hans Linus<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.0",
-          "index=Moran, Mr. Daniel J<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.011",
-          "index=Lievens, Mr. Rene Aime<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.01",
-          "index=Ayoub, Miss. Banoura<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.007",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.002",
-          "index=Johnston, Mr. Andrew G<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.013",
-          "index=Ali, Mr. William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Sjoblom, Miss. Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.005",
-          "index=Guggenheim, Mr. Benjamin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.006",
-          "index=Leader, Dr. Alice (Farnham)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.006",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.0",
-          "index=Carter, Master. William Thornton II<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.018",
-          "index=Thomas, Master. Assad Alexander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
-          "index=Johansson, Mr. Karl Johan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Slemen, Mr. Richard James<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Tomlin, Mr. Ernest Portage<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=McCormack, Mr. Thomas Joseph<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.0",
-          "index=Richards, Master. George Sibley<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.016",
-          "index=Mudd, Mr. Thomas Charles<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Lemberopolous, Mr. Peter L<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.0",
-          "index=Sage, Mr. Douglas Bullen<br>No_of_siblings_plus_spouses_on_board=8<br>shap=-0.085",
-          "index=Boulos, Miss. Nourelain<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.002",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.011",
-          "index=Razi, Mr. Raihed<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.0",
-          "index=Johnson, Master. Harold Theodor<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.015",
-          "index=Carlsson, Mr. Frans Olof<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Gustafsson, Mr. Alfred Ossian<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=Montvila, Rev. Juozas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002"
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-         "type": "scatter",
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-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Deck_B=0<br>shap=-0.003",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Deck_B=0<br>shap=-0.003",
-          "index=Palsson, Master. Gosta Leonard<br>Deck_B=0<br>shap=-0.002",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Deck_B=0<br>shap=-0.002",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Deck_B=0<br>shap=-0.003",
-          "index=Saundercock, Mr. William Henry<br>Deck_B=0<br>shap=-0.002",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Deck_B=0<br>shap=-0.002",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Deck_B=0<br>shap=-0.004",
-          "index=Glynn, Miss. Mary Agatha<br>Deck_B=0<br>shap=-0.002",
-          "index=Meyer, Mr. Edgar Joseph<br>Deck_B=0<br>shap=-0.004",
-          "index=Kraeff, Mr. Theodor<br>Deck_B=0<br>shap=-0.001",
-          "index=Devaney, Miss. Margaret Delia<br>Deck_B=0<br>shap=-0.002",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Deck_B=0<br>shap=-0.002",
-          "index=Rugg, Miss. Emily<br>Deck_B=0<br>shap=-0.002",
-          "index=Harris, Mr. Henry Birkhardt<br>Deck_B=0<br>shap=-0.003",
-          "index=Skoog, Master. Harald<br>Deck_B=0<br>shap=-0.002",
-          "index=Kink, Mr. Vincenz<br>Deck_B=0<br>shap=-0.002",
-          "index=Hood, Mr. Ambrose Jr<br>Deck_B=0<br>shap=-0.003",
-          "index=Ilett, Miss. Bertha<br>Deck_B=0<br>shap=-0.002",
-          "index=Ford, Mr. William Neal<br>Deck_B=0<br>shap=-0.003",
-          "index=Christmann, Mr. Emil<br>Deck_B=0<br>shap=-0.002",
-          "index=Andreasson, Mr. Paul Edvin<br>Deck_B=0<br>shap=-0.002",
-          "index=Chaffee, Mr. Herbert Fuller<br>Deck_B=0<br>shap=-0.004",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Deck_B=0<br>shap=-0.001",
-          "index=White, Mr. Richard Frasar<br>Deck_B=0<br>shap=0.0",
-          "index=Rekic, Mr. Tido<br>Deck_B=0<br>shap=-0.002",
-          "index=Moran, Miss. Bertha<br>Deck_B=0<br>shap=-0.003",
-          "index=Barton, Mr. David John<br>Deck_B=0<br>shap=-0.002",
-          "index=Jussila, Miss. Katriina<br>Deck_B=0<br>shap=-0.002",
-          "index=Pekoniemi, Mr. Edvard<br>Deck_B=0<br>shap=-0.002",
-          "index=Turpin, Mr. William John Robert<br>Deck_B=0<br>shap=-0.003",
-          "index=Moore, Mr. Leonard Charles<br>Deck_B=0<br>shap=-0.001",
-          "index=Osen, Mr. Olaf Elon<br>Deck_B=0<br>shap=-0.002",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Deck_B=0<br>shap=-0.004",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Deck_B=0<br>shap=0.0",
-          "index=Bateman, Rev. Robert James<br>Deck_B=0<br>shap=-0.002",
-          "index=Meo, Mr. Alfonzo<br>Deck_B=0<br>shap=-0.002",
-          "index=Cribb, Mr. John Hatfield<br>Deck_B=0<br>shap=-0.002",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Deck_B=0<br>shap=-0.002",
-          "index=Van der hoef, Mr. Wyckoff<br>Deck_B=1<br>shap=0.055",
-          "index=Sivola, Mr. Antti Wilhelm<br>Deck_B=0<br>shap=-0.002",
-          "index=Klasen, Mr. Klas Albin<br>Deck_B=0<br>shap=-0.002",
-          "index=Rood, Mr. Hugh Roscoe<br>Deck_B=0<br>shap=0.001",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Deck_B=0<br>shap=-0.002",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Deck_B=1<br>shap=0.041",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Deck_B=0<br>shap=-0.002",
-          "index=Backstrom, Mr. Karl Alfred<br>Deck_B=0<br>shap=-0.003",
-          "index=Blank, Mr. Henry<br>Deck_B=0<br>shap=0.0",
-          "index=Ali, Mr. Ahmed<br>Deck_B=0<br>shap=-0.002",
-          "index=Green, Mr. George Henry<br>Deck_B=0<br>shap=-0.002",
-          "index=Nenkoff, Mr. Christo<br>Deck_B=0<br>shap=-0.001",
-          "index=Asplund, Miss. Lillian Gertrud<br>Deck_B=0<br>shap=-0.004",
-          "index=Harknett, Miss. Alice Phoebe<br>Deck_B=0<br>shap=-0.002",
-          "index=Hunt, Mr. George Henry<br>Deck_B=0<br>shap=-0.002",
-          "index=Reed, Mr. James George<br>Deck_B=0<br>shap=-0.001",
-          "index=Stead, Mr. William Thomas<br>Deck_B=0<br>shap=-0.001",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Deck_B=0<br>shap=-0.002",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Deck_B=0<br>shap=-0.002",
-          "index=Smith, Mr. Thomas<br>Deck_B=0<br>shap=-0.001",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Deck_B=0<br>shap=-0.003",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Deck_B=0<br>shap=-0.002",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Deck_B=0<br>shap=-0.002",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Deck_B=0<br>shap=-0.002",
-          "index=Smith, Mr. Richard William<br>Deck_B=0<br>shap=0.001",
-          "index=Connolly, Miss. Kate<br>Deck_B=0<br>shap=-0.002",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Deck_B=1<br>shap=0.037",
-          "index=Levy, Mr. Rene Jacques<br>Deck_B=0<br>shap=0.001",
-          "index=Lewy, Mr. Ervin G<br>Deck_B=0<br>shap=-0.001",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Deck_B=0<br>shap=-0.001",
-          "index=Sage, Mr. George John Jr<br>Deck_B=0<br>shap=-0.003",
-          "index=Nysveen, Mr. Johan Hansen<br>Deck_B=0<br>shap=-0.002",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Deck_B=0<br>shap=-0.002",
-          "index=Denkoff, Mr. Mitto<br>Deck_B=0<br>shap=-0.001",
-          "index=Burns, Miss. Elizabeth Margaret<br>Deck_B=0<br>shap=-0.003",
-          "index=Dimic, Mr. Jovan<br>Deck_B=0<br>shap=-0.002",
-          "index=del Carlo, Mr. Sebastiano<br>Deck_B=0<br>shap=-0.002",
-          "index=Beavan, Mr. William Thomas<br>Deck_B=0<br>shap=-0.002",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Deck_B=0<br>shap=-0.003",
-          "index=Widener, Mr. Harry Elkins<br>Deck_B=0<br>shap=-0.001",
-          "index=Gustafsson, Mr. Karl Gideon<br>Deck_B=0<br>shap=-0.002",
-          "index=Plotcharsky, Mr. Vasil<br>Deck_B=0<br>shap=-0.001",
-          "index=Goodwin, Master. Sidney Leonard<br>Deck_B=0<br>shap=-0.003",
-          "index=Sadlier, Mr. Matthew<br>Deck_B=0<br>shap=-0.001",
-          "index=Gustafsson, Mr. Johan Birger<br>Deck_B=0<br>shap=-0.003",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Deck_B=0<br>shap=-0.003",
-          "index=Niskanen, Mr. Juha<br>Deck_B=0<br>shap=-0.002",
-          "index=Minahan, Miss. Daisy E<br>Deck_B=0<br>shap=-0.003",
-          "index=Matthews, Mr. William John<br>Deck_B=0<br>shap=-0.002",
-          "index=Charters, Mr. David<br>Deck_B=0<br>shap=-0.002",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Deck_B=0<br>shap=-0.002",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Deck_B=0<br>shap=-0.002",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Deck_B=0<br>shap=-0.001",
-          "index=Peuchen, Major. Arthur Godfrey<br>Deck_B=0<br>shap=-0.001",
-          "index=Anderson, Mr. Harry<br>Deck_B=0<br>shap=0.0",
-          "index=Milling, Mr. Jacob Christian<br>Deck_B=0<br>shap=-0.002",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Deck_B=0<br>shap=-0.003",
-          "index=Karlsson, Mr. Nils August<br>Deck_B=0<br>shap=-0.002",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Deck_B=0<br>shap=-0.001",
-          "index=Bishop, Mr. Dickinson H<br>Deck_B=1<br>shap=0.03",
-          "index=Windelov, Mr. Einar<br>Deck_B=0<br>shap=-0.002",
-          "index=Shellard, Mr. Frederick William<br>Deck_B=0<br>shap=-0.001",
-          "index=Svensson, Mr. Olof<br>Deck_B=0<br>shap=-0.002",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Deck_B=0<br>shap=-0.002",
-          "index=Laitinen, Miss. Kristina Sofia<br>Deck_B=0<br>shap=-0.002",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Deck_B=0<br>shap=-0.002",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Deck_B=0<br>shap=-0.001",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Deck_B=0<br>shap=-0.002",
-          "index=Kassem, Mr. Fared<br>Deck_B=0<br>shap=-0.001",
-          "index=Cacic, Miss. Marija<br>Deck_B=0<br>shap=-0.002",
-          "index=Hart, Miss. Eva Miriam<br>Deck_B=0<br>shap=-0.002",
-          "index=Butt, Major. Archibald Willingham<br>Deck_B=1<br>shap=0.035",
-          "index=Beane, Mr. Edward<br>Deck_B=0<br>shap=-0.003",
-          "index=Goldsmith, Mr. Frank John<br>Deck_B=0<br>shap=-0.002",
-          "index=Ohman, Miss. Velin<br>Deck_B=0<br>shap=-0.002",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Deck_B=0<br>shap=-0.003",
-          "index=Morrow, Mr. Thomas Rowan<br>Deck_B=0<br>shap=-0.001",
-          "index=Harris, Mr. George<br>Deck_B=0<br>shap=-0.002",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Deck_B=0<br>shap=-0.003",
-          "index=Patchett, Mr. George<br>Deck_B=0<br>shap=-0.002",
-          "index=Ross, Mr. John Hugo<br>Deck_B=0<br>shap=-0.0",
-          "index=Murdlin, Mr. Joseph<br>Deck_B=0<br>shap=-0.001",
-          "index=Bourke, Miss. Mary<br>Deck_B=0<br>shap=-0.002",
-          "index=Boulos, Mr. Hanna<br>Deck_B=0<br>shap=-0.001",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Deck_B=0<br>shap=-0.004",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Deck_B=0<br>shap=-0.001",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Deck_B=0<br>shap=-0.003",
-          "index=Daniel, Mr. Robert Williams<br>Deck_B=0<br>shap=-0.002",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Deck_B=0<br>shap=-0.003",
-          "index=Shutes, Miss. Elizabeth W<br>Deck_B=0<br>shap=-0.003",
-          "index=Jardin, Mr. Jose Neto<br>Deck_B=0<br>shap=-0.001",
-          "index=Horgan, Mr. John<br>Deck_B=0<br>shap=-0.001",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Deck_B=0<br>shap=-0.002",
-          "index=Yasbeck, Mr. Antoni<br>Deck_B=0<br>shap=-0.002",
-          "index=Bostandyeff, Mr. Guentcho<br>Deck_B=0<br>shap=-0.002",
-          "index=Lundahl, Mr. Johan Svensson<br>Deck_B=0<br>shap=-0.002",
-          "index=Stahelin-Maeglin, Dr. Max<br>Deck_B=1<br>shap=0.029",
-          "index=Willey, Mr. Edward<br>Deck_B=0<br>shap=-0.001",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Deck_B=0<br>shap=-0.002",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Deck_B=0<br>shap=-0.002",
-          "index=Eitemiller, Mr. George Floyd<br>Deck_B=0<br>shap=-0.002",
-          "index=Colley, Mr. Edward Pomeroy<br>Deck_B=0<br>shap=0.0",
-          "index=Coleff, Mr. Peju<br>Deck_B=0<br>shap=-0.002",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Deck_B=0<br>shap=-0.002",
-          "index=Davidson, Mr. Thornton<br>Deck_B=1<br>shap=0.062",
-          "index=Turja, Miss. Anna Sofia<br>Deck_B=0<br>shap=-0.002",
-          "index=Hassab, Mr. Hammad<br>Deck_B=0<br>shap=-0.0",
-          "index=Goodwin, Mr. Charles Edward<br>Deck_B=0<br>shap=-0.003",
-          "index=Panula, Mr. Jaako Arnold<br>Deck_B=0<br>shap=-0.003",
-          "index=Fischer, Mr. Eberhard Thelander<br>Deck_B=0<br>shap=-0.002",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Deck_B=0<br>shap=-0.0",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Deck_B=0<br>shap=-0.003",
-          "index=Hansen, Mr. Henrik Juul<br>Deck_B=0<br>shap=-0.002",
-          "index=Calderhead, Mr. Edward Pennington<br>Deck_B=0<br>shap=0.0",
-          "index=Klaber, Mr. Herman<br>Deck_B=0<br>shap=0.002",
-          "index=Taylor, Mr. Elmer Zebley<br>Deck_B=0<br>shap=-0.003",
-          "index=Larsson, Mr. August Viktor<br>Deck_B=0<br>shap=-0.002",
-          "index=Greenberg, Mr. Samuel<br>Deck_B=0<br>shap=-0.002",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Deck_B=0<br>shap=-0.001",
-          "index=McEvoy, Mr. Michael<br>Deck_B=0<br>shap=-0.001",
-          "index=Johnson, Mr. Malkolm Joackim<br>Deck_B=0<br>shap=-0.002",
-          "index=Gillespie, Mr. William Henry<br>Deck_B=0<br>shap=-0.002",
-          "index=Allen, Miss. Elisabeth Walton<br>Deck_B=1<br>shap=0.052",
-          "index=Berriman, Mr. William John<br>Deck_B=0<br>shap=-0.002",
-          "index=Troupiansky, Mr. Moses Aaron<br>Deck_B=0<br>shap=-0.002",
-          "index=Williams, Mr. Leslie<br>Deck_B=0<br>shap=-0.002",
-          "index=Ivanoff, Mr. Kanio<br>Deck_B=0<br>shap=-0.001",
-          "index=McNamee, Mr. Neal<br>Deck_B=0<br>shap=-0.002",
-          "index=Connaghton, Mr. Michael<br>Deck_B=0<br>shap=-0.002",
-          "index=Carlsson, Mr. August Sigfrid<br>Deck_B=0<br>shap=-0.002",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Deck_B=1<br>shap=0.051",
-          "index=Eklund, Mr. Hans Linus<br>Deck_B=0<br>shap=-0.002",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Deck_B=0<br>shap=-0.002",
-          "index=Moran, Mr. Daniel J<br>Deck_B=0<br>shap=-0.002",
-          "index=Lievens, Mr. Rene Aime<br>Deck_B=0<br>shap=-0.002",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Deck_B=1<br>shap=0.049",
-          "index=Ayoub, Miss. Banoura<br>Deck_B=0<br>shap=-0.002",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Deck_B=1<br>shap=0.04",
-          "index=Johnston, Mr. Andrew G<br>Deck_B=0<br>shap=-0.002",
-          "index=Ali, Mr. William<br>Deck_B=0<br>shap=-0.002",
-          "index=Sjoblom, Miss. Anna Sofia<br>Deck_B=0<br>shap=-0.002",
-          "index=Guggenheim, Mr. Benjamin<br>Deck_B=1<br>shap=0.032",
-          "index=Leader, Dr. Alice (Farnham)<br>Deck_B=0<br>shap=-0.002",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Deck_B=0<br>shap=-0.002",
-          "index=Carter, Master. William Thornton II<br>Deck_B=1<br>shap=0.046",
-          "index=Thomas, Master. Assad Alexander<br>Deck_B=0<br>shap=-0.001",
-          "index=Johansson, Mr. Karl Johan<br>Deck_B=0<br>shap=-0.002",
-          "index=Slemen, Mr. Richard James<br>Deck_B=0<br>shap=-0.002",
-          "index=Tomlin, Mr. Ernest Portage<br>Deck_B=0<br>shap=-0.002",
-          "index=McCormack, Mr. Thomas Joseph<br>Deck_B=0<br>shap=-0.001",
-          "index=Richards, Master. George Sibley<br>Deck_B=0<br>shap=-0.002",
-          "index=Mudd, Mr. Thomas Charles<br>Deck_B=0<br>shap=-0.002",
-          "index=Lemberopolous, Mr. Peter L<br>Deck_B=0<br>shap=-0.001",
-          "index=Sage, Mr. Douglas Bullen<br>Deck_B=0<br>shap=-0.003",
-          "index=Boulos, Miss. Nourelain<br>Deck_B=0<br>shap=-0.002",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Deck_B=0<br>shap=-0.002",
-          "index=Razi, Mr. Raihed<br>Deck_B=0<br>shap=-0.001",
-          "index=Johnson, Master. Harold Theodor<br>Deck_B=0<br>shap=-0.001",
-          "index=Carlsson, Mr. Frans Olof<br>Deck_B=1<br>shap=0.03",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Deck_B=0<br>shap=-0.002",
-          "index=Montvila, Rev. Juozas<br>Deck_B=0<br>shap=-0.002"
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-          "index=Meyer, Mr. Edgar Joseph<br>Deck_E=0<br>shap=-0.004",
-          "index=Kraeff, Mr. Theodor<br>Deck_E=0<br>shap=-0.002",
-          "index=Devaney, Miss. Margaret Delia<br>Deck_E=0<br>shap=-0.001",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Deck_E=0<br>shap=-0.001",
-          "index=Rugg, Miss. Emily<br>Deck_E=0<br>shap=-0.001",
-          "index=Harris, Mr. Henry Birkhardt<br>Deck_E=0<br>shap=-0.003",
-          "index=Skoog, Master. Harald<br>Deck_E=0<br>shap=-0.002",
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-          "index=Andreasson, Mr. Paul Edvin<br>Deck_E=0<br>shap=-0.002",
-          "index=Chaffee, Mr. Herbert Fuller<br>Deck_E=1<br>shap=0.041",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Deck_E=0<br>shap=-0.002",
-          "index=White, Mr. Richard Frasar<br>Deck_E=0<br>shap=-0.004",
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-          "index=Moran, Miss. Bertha<br>Deck_E=0<br>shap=-0.001",
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-          "index=Jussila, Miss. Katriina<br>Deck_E=0<br>shap=-0.001",
-          "index=Pekoniemi, Mr. Edvard<br>Deck_E=0<br>shap=-0.002",
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-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Deck_E=0<br>shap=-0.001",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Deck_E=0<br>shap=-0.002",
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-          "index=Meo, Mr. Alfonzo<br>Deck_E=0<br>shap=-0.001",
-          "index=Cribb, Mr. John Hatfield<br>Deck_E=0<br>shap=-0.001",
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-          "index=Klasen, Mr. Klas Albin<br>Deck_E=0<br>shap=-0.002",
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-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Deck_E=0<br>shap=-0.001",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Deck_E=0<br>shap=-0.001",
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-          "index=Asplund, Miss. Lillian Gertrud<br>Deck_E=0<br>shap=-0.001",
-          "index=Harknett, Miss. Alice Phoebe<br>Deck_E=0<br>shap=-0.001",
-          "index=Hunt, Mr. George Henry<br>Deck_E=0<br>shap=-0.002",
-          "index=Reed, Mr. James George<br>Deck_E=0<br>shap=-0.002",
-          "index=Stead, Mr. William Thomas<br>Deck_E=0<br>shap=-0.002",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Deck_E=0<br>shap=-0.002",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Deck_E=0<br>shap=-0.0",
-          "index=Smith, Mr. Thomas<br>Deck_E=0<br>shap=-0.002",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Deck_E=0<br>shap=-0.002",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Deck_E=0<br>shap=-0.001",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Deck_E=0<br>shap=-0.0",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Deck_E=0<br>shap=-0.001",
-          "index=Smith, Mr. Richard William<br>Deck_E=0<br>shap=-0.004",
-          "index=Connolly, Miss. Kate<br>Deck_E=0<br>shap=-0.001",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Deck_E=0<br>shap=-0.002",
-          "index=Levy, Mr. Rene Jacques<br>Deck_E=0<br>shap=-0.004",
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-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Deck_E=0<br>shap=-0.002",
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-          "index=Charters, Mr. David<br>Deck_E=0<br>shap=-0.002",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Deck_E=0<br>shap=-0.001",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Deck_E=0<br>shap=-0.001",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Deck_E=0<br>shap=-0.002",
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-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Deck_E=0<br>shap=-0.001",
-          "index=Karlsson, Mr. Nils August<br>Deck_E=0<br>shap=-0.002",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Deck_E=0<br>shap=-0.002",
-          "index=Bishop, Mr. Dickinson H<br>Deck_E=0<br>shap=-0.005",
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-          "index=Shellard, Mr. Frederick William<br>Deck_E=0<br>shap=-0.002",
-          "index=Svensson, Mr. Olof<br>Deck_E=0<br>shap=-0.002",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Deck_E=0<br>shap=-0.002",
-          "index=Laitinen, Miss. Kristina Sofia<br>Deck_E=0<br>shap=-0.001",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Deck_E=0<br>shap=-0.005",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Deck_E=0<br>shap=-0.003",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Deck_E=0<br>shap=-0.001",
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+      ]
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+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "name = test_names[6] # explainer prediction for name\n",
+    "print(name)\n",
+    "explainer.plot_contributions(name)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T15:57:48.474303Z",
+     "start_time": "2021-01-20T15:57:48.407599Z"
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-         "mode": "markers",
-         "name": "Embarked_Queenstown",
-         "opacity": 0.8,
-         "showlegend": false,
+         "name": "contribution",
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          "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Palsson, Master. Gosta Leonard<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Embarked_Queenstown=0<br>shap=-0.002",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Saundercock, Mr. William Henry<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Embarked_Queenstown=0<br>shap=-0.01",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Glynn, Miss. Mary Agatha<br>Embarked_Queenstown=1<br>shap=0.022",
-          "index=Meyer, Mr. Edgar Joseph<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Kraeff, Mr. Theodor<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Devaney, Miss. Margaret Delia<br>Embarked_Queenstown=1<br>shap=0.014",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Embarked_Queenstown=0<br>shap=-0.003",
-          "index=Rugg, Miss. Emily<br>Embarked_Queenstown=0<br>shap=-0.004",
-          "index=Harris, Mr. Henry Birkhardt<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Skoog, Master. Harald<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Kink, Mr. Vincenz<br>Embarked_Queenstown=0<br>shap=-0.001",
-          "index=Hood, Mr. Ambrose Jr<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Ilett, Miss. Bertha<br>Embarked_Queenstown=0<br>shap=-0.006",
-          "index=Ford, Mr. William Neal<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Christmann, Mr. Emil<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Andreasson, Mr. Paul Edvin<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Chaffee, Mr. Herbert Fuller<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=White, Mr. Richard Frasar<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Rekic, Mr. Tido<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Moran, Miss. Bertha<br>Embarked_Queenstown=1<br>shap=-0.004",
-          "index=Barton, Mr. David John<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Jussila, Miss. Katriina<br>Embarked_Queenstown=0<br>shap=-0.005",
-          "index=Pekoniemi, Mr. Edvard<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Turpin, Mr. William John Robert<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Moore, Mr. Leonard Charles<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Osen, Mr. Olaf Elon<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Embarked_Queenstown=0<br>shap=-0.001",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Bateman, Rev. Robert James<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Meo, Mr. Alfonzo<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Cribb, Mr. John Hatfield<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Van der hoef, Mr. Wyckoff<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Sivola, Mr. Antti Wilhelm<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Klasen, Mr. Klas Albin<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Rood, Mr. Hugh Roscoe<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Embarked_Queenstown=0<br>shap=-0.003",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Embarked_Queenstown=0<br>shap=0.004",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Backstrom, Mr. Karl Alfred<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Blank, Mr. Henry<br>Embarked_Queenstown=0<br>shap=0.003",
-          "index=Ali, Mr. Ahmed<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Green, Mr. George Henry<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Nenkoff, Mr. Christo<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Asplund, Miss. Lillian Gertrud<br>Embarked_Queenstown=0<br>shap=-0.001",
-          "index=Harknett, Miss. Alice Phoebe<br>Embarked_Queenstown=0<br>shap=-0.009",
-          "index=Hunt, Mr. George Henry<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Reed, Mr. James George<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Stead, Mr. William Thomas<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Smith, Mr. Thomas<br>Embarked_Queenstown=1<br>shap=-0.011",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Embarked_Queenstown=1<br>shap=0.022",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Smith, Mr. Richard William<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Connolly, Miss. Kate<br>Embarked_Queenstown=1<br>shap=0.01",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Levy, Mr. Rene Jacques<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Lewy, Mr. Ervin G<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Sage, Mr. George John Jr<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Nysveen, Mr. Johan Hansen<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Denkoff, Mr. Mitto<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Burns, Miss. Elizabeth Margaret<br>Embarked_Queenstown=0<br>shap=0.004",
-          "index=Dimic, Mr. Jovan<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=del Carlo, Mr. Sebastiano<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Beavan, Mr. William Thomas<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Widener, Mr. Harry Elkins<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Gustafsson, Mr. Karl Gideon<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Plotcharsky, Mr. Vasil<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Goodwin, Master. Sidney Leonard<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Sadlier, Mr. Matthew<br>Embarked_Queenstown=1<br>shap=-0.011",
-          "index=Gustafsson, Mr. Johan Birger<br>Embarked_Queenstown=0<br>shap=-0.001",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Embarked_Queenstown=0<br>shap=-0.002",
-          "index=Niskanen, Mr. Juha<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Minahan, Miss. Daisy E<br>Embarked_Queenstown=1<br>shap=-0.027",
-          "index=Matthews, Mr. William John<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Charters, Mr. David<br>Embarked_Queenstown=1<br>shap=-0.012",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Embarked_Queenstown=0<br>shap=0.003",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Peuchen, Major. Arthur Godfrey<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Anderson, Mr. Harry<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Milling, Mr. Jacob Christian<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Karlsson, Mr. Nils August<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Bishop, Mr. Dickinson H<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Windelov, Mr. Einar<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Shellard, Mr. Frederick William<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Svensson, Mr. Olof<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Embarked_Queenstown=1<br>shap=0.022",
-          "index=Laitinen, Miss. Kristina Sofia<br>Embarked_Queenstown=0<br>shap=-0.003",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Kassem, Mr. Fared<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Cacic, Miss. Marija<br>Embarked_Queenstown=0<br>shap=-0.005",
-          "index=Hart, Miss. Eva Miriam<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Butt, Major. Archibald Willingham<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Beane, Mr. Edward<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Goldsmith, Mr. Frank John<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Ohman, Miss. Velin<br>Embarked_Queenstown=0<br>shap=-0.006",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Morrow, Mr. Thomas Rowan<br>Embarked_Queenstown=1<br>shap=-0.011",
-          "index=Harris, Mr. George<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Patchett, Mr. George<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Ross, Mr. John Hugo<br>Embarked_Queenstown=0<br>shap=0.003",
-          "index=Murdlin, Mr. Joseph<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Bourke, Miss. Mary<br>Embarked_Queenstown=1<br>shap=-0.002",
-          "index=Boulos, Mr. Hanna<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Embarked_Queenstown=0<br>shap=0.003",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Daniel, Mr. Robert Williams<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Embarked_Queenstown=0<br>shap=0.005",
-          "index=Shutes, Miss. Elizabeth W<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Jardin, Mr. Jose Neto<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Horgan, Mr. John<br>Embarked_Queenstown=1<br>shap=-0.011",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Embarked_Queenstown=0<br>shap=-0.001",
-          "index=Yasbeck, Mr. Antoni<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Bostandyeff, Mr. Guentcho<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Lundahl, Mr. Johan Svensson<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Stahelin-Maeglin, Dr. Max<br>Embarked_Queenstown=0<br>shap=0.003",
-          "index=Willey, Mr. Edward<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Embarked_Queenstown=0<br>shap=-0.005",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Embarked_Queenstown=1<br>shap=0.021",
-          "index=Eitemiller, Mr. George Floyd<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Colley, Mr. Edward Pomeroy<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Coleff, Mr. Peju<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Embarked_Queenstown=0<br>shap=0.003",
-          "index=Davidson, Mr. Thornton<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Turja, Miss. Anna Sofia<br>Embarked_Queenstown=0<br>shap=-0.009",
-          "index=Hassab, Mr. Hammad<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Goodwin, Mr. Charles Edward<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Panula, Mr. Jaako Arnold<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Fischer, Mr. Eberhard Thelander<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Hansen, Mr. Henrik Juul<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Calderhead, Mr. Edward Pennington<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Klaber, Mr. Herman<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Taylor, Mr. Elmer Zebley<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Larsson, Mr. August Viktor<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Greenberg, Mr. Samuel<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Embarked_Queenstown=0<br>shap=-0.002",
-          "index=McEvoy, Mr. Michael<br>Embarked_Queenstown=1<br>shap=-0.01",
-          "index=Johnson, Mr. Malkolm Joackim<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Gillespie, Mr. William Henry<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Allen, Miss. Elisabeth Walton<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Berriman, Mr. William John<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Troupiansky, Mr. Moses Aaron<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Williams, Mr. Leslie<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Ivanoff, Mr. Kanio<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=McNamee, Mr. Neal<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Connaghton, Mr. Michael<br>Embarked_Queenstown=1<br>shap=-0.014",
-          "index=Carlsson, Mr. August Sigfrid<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Eklund, Mr. Hans Linus<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Moran, Mr. Daniel J<br>Embarked_Queenstown=1<br>shap=-0.019",
-          "index=Lievens, Mr. Rene Aime<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Ayoub, Miss. Banoura<br>Embarked_Queenstown=0<br>shap=-0.006",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Embarked_Queenstown=0<br>shap=-0.0",
-          "index=Johnston, Mr. Andrew G<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Ali, Mr. William<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Sjoblom, Miss. Anna Sofia<br>Embarked_Queenstown=0<br>shap=-0.008",
-          "index=Guggenheim, Mr. Benjamin<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Leader, Dr. Alice (Farnham)<br>Embarked_Queenstown=0<br>shap=0.0",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Carter, Master. William Thornton II<br>Embarked_Queenstown=0<br>shap=0.001",
-          "index=Thomas, Master. Assad Alexander<br>Embarked_Queenstown=0<br>shap=0.002",
-          "index=Johansson, Mr. Karl Johan<br>Embarked_Queenstown=0<br>shap=0.0",
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+         "title": {
+          "text": "Predicted %"
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "explainer.plot_contributions(name, topx=10, sort='high-to-low', orientation='horizontal')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Shap dependence plots"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T15:58:02.903811Z",
+     "start_time": "2021-01-20T15:58:02.887352Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
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-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Deck_D=0<br>shap=-0.003",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Deck_D=0<br>shap=-0.002",
-          "index=Palsson, Master. Gosta Leonard<br>Deck_D=0<br>shap=-0.001",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Deck_D=0<br>shap=-0.001",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Deck_D=0<br>shap=-0.002",
-          "index=Saundercock, Mr. William Henry<br>Deck_D=0<br>shap=-0.001",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Deck_D=0<br>shap=-0.001",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Deck_D=0<br>shap=-0.001",
-          "index=Glynn, Miss. Mary Agatha<br>Deck_D=0<br>shap=-0.001",
-          "index=Meyer, Mr. Edgar Joseph<br>Deck_D=0<br>shap=-0.003",
-          "index=Kraeff, Mr. Theodor<br>Deck_D=0<br>shap=-0.001",
-          "index=Devaney, Miss. Margaret Delia<br>Deck_D=0<br>shap=-0.001",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Deck_D=0<br>shap=-0.001",
-          "index=Rugg, Miss. Emily<br>Deck_D=0<br>shap=-0.002",
-          "index=Harris, Mr. Henry Birkhardt<br>Deck_D=0<br>shap=-0.003",
-          "index=Skoog, Master. Harald<br>Deck_D=0<br>shap=-0.001",
-          "index=Kink, Mr. Vincenz<br>Deck_D=0<br>shap=-0.001",
-          "index=Hood, Mr. Ambrose Jr<br>Deck_D=0<br>shap=-0.002",
-          "index=Ilett, Miss. Bertha<br>Deck_D=0<br>shap=-0.002",
-          "index=Ford, Mr. William Neal<br>Deck_D=0<br>shap=-0.001",
-          "index=Christmann, Mr. Emil<br>Deck_D=0<br>shap=-0.001",
-          "index=Andreasson, Mr. Paul Edvin<br>Deck_D=0<br>shap=-0.001",
-          "index=Chaffee, Mr. Herbert Fuller<br>Deck_D=0<br>shap=-0.003",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Deck_D=0<br>shap=-0.001",
-          "index=White, Mr. Richard Frasar<br>Deck_D=1<br>shap=0.033",
-          "index=Rekic, Mr. Tido<br>Deck_D=0<br>shap=-0.001",
-          "index=Moran, Miss. Bertha<br>Deck_D=0<br>shap=-0.001",
-          "index=Barton, Mr. David John<br>Deck_D=0<br>shap=-0.001",
-          "index=Jussila, Miss. Katriina<br>Deck_D=0<br>shap=-0.001",
-          "index=Pekoniemi, Mr. Edvard<br>Deck_D=0<br>shap=-0.001",
-          "index=Turpin, Mr. William John Robert<br>Deck_D=0<br>shap=-0.002",
-          "index=Moore, Mr. Leonard Charles<br>Deck_D=0<br>shap=-0.001",
-          "index=Osen, Mr. Olaf Elon<br>Deck_D=0<br>shap=-0.001",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Deck_D=0<br>shap=-0.001",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Deck_D=0<br>shap=-0.002",
-          "index=Bateman, Rev. Robert James<br>Deck_D=0<br>shap=-0.002",
-          "index=Meo, Mr. Alfonzo<br>Deck_D=0<br>shap=-0.001",
-          "index=Cribb, Mr. John Hatfield<br>Deck_D=0<br>shap=-0.001",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Deck_D=0<br>shap=-0.002",
-          "index=Van der hoef, Mr. Wyckoff<br>Deck_D=0<br>shap=-0.002",
-          "index=Sivola, Mr. Antti Wilhelm<br>Deck_D=0<br>shap=-0.001",
-          "index=Klasen, Mr. Klas Albin<br>Deck_D=0<br>shap=-0.001",
-          "index=Rood, Mr. Hugh Roscoe<br>Deck_D=0<br>shap=-0.002",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Deck_D=0<br>shap=-0.001",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Deck_D=0<br>shap=-0.002",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Deck_D=0<br>shap=-0.001",
-          "index=Backstrom, Mr. Karl Alfred<br>Deck_D=0<br>shap=-0.001",
-          "index=Blank, Mr. Henry<br>Deck_D=0<br>shap=-0.002",
-          "index=Ali, Mr. Ahmed<br>Deck_D=0<br>shap=-0.001",
-          "index=Green, Mr. George Henry<br>Deck_D=0<br>shap=-0.001",
-          "index=Nenkoff, Mr. Christo<br>Deck_D=0<br>shap=-0.001",
-          "index=Asplund, Miss. Lillian Gertrud<br>Deck_D=0<br>shap=-0.001",
-          "index=Harknett, Miss. Alice Phoebe<br>Deck_D=0<br>shap=-0.001",
-          "index=Hunt, Mr. George Henry<br>Deck_D=0<br>shap=-0.002",
-          "index=Reed, Mr. James George<br>Deck_D=0<br>shap=-0.001",
-          "index=Stead, Mr. William Thomas<br>Deck_D=0<br>shap=-0.002",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Deck_D=0<br>shap=-0.002",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Deck_D=0<br>shap=-0.001",
-          "index=Smith, Mr. Thomas<br>Deck_D=0<br>shap=-0.001",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Deck_D=0<br>shap=-0.001",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Deck_D=0<br>shap=-0.001",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Deck_D=1<br>shap=0.027",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Deck_D=0<br>shap=-0.001",
-          "index=Smith, Mr. Richard William<br>Deck_D=0<br>shap=-0.002",
-          "index=Connolly, Miss. Kate<br>Deck_D=0<br>shap=-0.001",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Deck_D=0<br>shap=-0.002",
-          "index=Levy, Mr. Rene Jacques<br>Deck_D=1<br>shap=0.025",
-          "index=Lewy, Mr. Ervin G<br>Deck_D=0<br>shap=-0.002",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Deck_D=0<br>shap=-0.001",
-          "index=Sage, Mr. George John Jr<br>Deck_D=0<br>shap=-0.001",
-          "index=Nysveen, Mr. Johan Hansen<br>Deck_D=0<br>shap=-0.001",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Deck_D=0<br>shap=-0.001",
-          "index=Denkoff, Mr. Mitto<br>Deck_D=0<br>shap=-0.001",
-          "index=Burns, Miss. Elizabeth Margaret<br>Deck_D=0<br>shap=-0.003",
-          "index=Dimic, Mr. Jovan<br>Deck_D=0<br>shap=-0.001",
-          "index=del Carlo, Mr. Sebastiano<br>Deck_D=0<br>shap=-0.003",
-          "index=Beavan, Mr. William Thomas<br>Deck_D=0<br>shap=-0.001",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Deck_D=0<br>shap=-0.002",
-          "index=Widener, Mr. Harry Elkins<br>Deck_D=0<br>shap=-0.004",
-          "index=Gustafsson, Mr. Karl Gideon<br>Deck_D=0<br>shap=-0.001",
-          "index=Plotcharsky, Mr. Vasil<br>Deck_D=0<br>shap=-0.001",
-          "index=Goodwin, Master. Sidney Leonard<br>Deck_D=0<br>shap=-0.001",
-          "index=Sadlier, Mr. Matthew<br>Deck_D=0<br>shap=-0.001",
-          "index=Gustafsson, Mr. Johan Birger<br>Deck_D=0<br>shap=-0.001",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Deck_D=0<br>shap=-0.002",
-          "index=Niskanen, Mr. Juha<br>Deck_D=0<br>shap=-0.001",
-          "index=Minahan, Miss. Daisy E<br>Deck_D=0<br>shap=-0.002",
-          "index=Matthews, Mr. William John<br>Deck_D=0<br>shap=-0.002",
-          "index=Charters, Mr. David<br>Deck_D=0<br>shap=-0.001",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Deck_D=0<br>shap=-0.002",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Deck_D=0<br>shap=-0.002",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Deck_D=0<br>shap=-0.001",
-          "index=Peuchen, Major. Arthur Godfrey<br>Deck_D=0<br>shap=-0.002",
-          "index=Anderson, Mr. Harry<br>Deck_D=0<br>shap=-0.002",
-          "index=Milling, Mr. Jacob Christian<br>Deck_D=0<br>shap=-0.002",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Deck_D=0<br>shap=-0.002",
-          "index=Karlsson, Mr. Nils August<br>Deck_D=0<br>shap=-0.001",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Deck_D=0<br>shap=-0.001",
-          "index=Bishop, Mr. Dickinson H<br>Deck_D=0<br>shap=-0.003",
-          "index=Windelov, Mr. Einar<br>Deck_D=0<br>shap=-0.001",
-          "index=Shellard, Mr. Frederick William<br>Deck_D=0<br>shap=-0.001",
-          "index=Svensson, Mr. Olof<br>Deck_D=0<br>shap=-0.001",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Deck_D=0<br>shap=-0.001",
-          "index=Laitinen, Miss. Kristina Sofia<br>Deck_D=0<br>shap=-0.001",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Deck_D=0<br>shap=-0.003",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Deck_D=0<br>shap=-0.002",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Deck_D=0<br>shap=-0.002",
-          "index=Kassem, Mr. Fared<br>Deck_D=0<br>shap=-0.001",
-          "index=Cacic, Miss. Marija<br>Deck_D=0<br>shap=-0.001",
-          "index=Hart, Miss. Eva Miriam<br>Deck_D=0<br>shap=-0.002",
-          "index=Butt, Major. Archibald Willingham<br>Deck_D=0<br>shap=-0.002",
-          "index=Beane, Mr. Edward<br>Deck_D=0<br>shap=-0.002",
-          "index=Goldsmith, Mr. Frank John<br>Deck_D=0<br>shap=-0.002",
-          "index=Ohman, Miss. Velin<br>Deck_D=0<br>shap=-0.001",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Deck_D=0<br>shap=-0.002",
-          "index=Morrow, Mr. Thomas Rowan<br>Deck_D=0<br>shap=-0.001",
-          "index=Harris, Mr. George<br>Deck_D=0<br>shap=-0.001",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Deck_D=0<br>shap=-0.002",
-          "index=Patchett, Mr. George<br>Deck_D=0<br>shap=-0.001",
-          "index=Ross, Mr. John Hugo<br>Deck_D=0<br>shap=-0.002",
-          "index=Murdlin, Mr. Joseph<br>Deck_D=0<br>shap=-0.001",
-          "index=Bourke, Miss. Mary<br>Deck_D=0<br>shap=-0.001",
-          "index=Boulos, Mr. Hanna<br>Deck_D=0<br>shap=-0.001",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Deck_D=0<br>shap=-0.003",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Deck_D=0<br>shap=-0.002",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Deck_D=0<br>shap=-0.001",
-          "index=Daniel, Mr. Robert Williams<br>Deck_D=0<br>shap=-0.002",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Deck_D=0<br>shap=-0.002",
-          "index=Shutes, Miss. Elizabeth W<br>Deck_D=0<br>shap=-0.002",
-          "index=Jardin, Mr. Jose Neto<br>Deck_D=0<br>shap=-0.001",
-          "index=Horgan, Mr. John<br>Deck_D=0<br>shap=-0.001",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Deck_D=0<br>shap=-0.001",
-          "index=Yasbeck, Mr. Antoni<br>Deck_D=0<br>shap=-0.002",
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-            "text": "feature value <br> (red is high)"
+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=38.0<br>SHAP=-0.015",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=35.0<br>SHAP=0.001",
+          "None=Palsson, Master. Gosta Leonard<br>Age=2.0<br>SHAP=0.035",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=27.0<br>SHAP=-0.005",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>SHAP=0.019",
+          "None=Saundercock, Mr. William Henry<br>Age=20.0<br>SHAP=0.005",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=14.0<br>SHAP=0.012",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=38.0<br>SHAP=-0.029",
+          "None=Glynn, Miss. Mary Agatha<br>Age=-999.0<br>SHAP=0.018",
+          "None=Meyer, Mr. Edgar Joseph<br>Age=28.0<br>SHAP=-0.001",
+          "None=Kraeff, Mr. Theodor<br>Age=-999.0<br>SHAP=0.009",
+          "None=Devaney, Miss. Margaret Delia<br>Age=19.0<br>SHAP=0.004",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=18.0<br>SHAP=0.000",
+          "None=Rugg, Miss. Emily<br>Age=21.0<br>SHAP=0.002",
+          "None=Harris, Mr. Henry Birkhardt<br>Age=45.0<br>SHAP=-0.030",
+          "None=Skoog, Master. Harald<br>Age=4.0<br>SHAP=0.029",
+          "None=Kink, Mr. Vincenz<br>Age=26.0<br>SHAP=0.003",
+          "None=Hood, Mr. Ambrose Jr<br>Age=21.0<br>SHAP=0.006",
+          "None=Ilett, Miss. Bertha<br>Age=17.0<br>SHAP=0.005",
+          "None=Ford, Mr. William Neal<br>Age=16.0<br>SHAP=0.003",
+          "None=Christmann, Mr. Emil<br>Age=29.0<br>SHAP=0.005",
+          "None=Andreasson, Mr. Paul Edvin<br>Age=20.0<br>SHAP=0.005",
+          "None=Chaffee, Mr. Herbert Fuller<br>Age=46.0<br>SHAP=-0.037",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=-999.0<br>SHAP=0.008",
+          "None=White, Mr. Richard Frasar<br>Age=21.0<br>SHAP=0.030",
+          "None=Rekic, Mr. Tido<br>Age=38.0<br>SHAP=-0.019",
+          "None=Moran, Miss. Bertha<br>Age=-999.0<br>SHAP=0.017",
+          "None=Barton, Mr. David John<br>Age=22.0<br>SHAP=0.006",
+          "None=Jussila, Miss. Katriina<br>Age=20.0<br>SHAP=-0.002",
+          "None=Pekoniemi, Mr. Edvard<br>Age=21.0<br>SHAP=0.004",
+          "None=Turpin, Mr. William John Robert<br>Age=29.0<br>SHAP=0.003",
+          "None=Moore, Mr. Leonard Charles<br>Age=-999.0<br>SHAP=0.007",
+          "None=Osen, Mr. Olaf Elon<br>Age=16.0<br>SHAP=0.007",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=9.0<br>SHAP=0.020",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=36.5<br>SHAP=-0.010",
+          "None=Bateman, Rev. Robert James<br>Age=51.0<br>SHAP=-0.019",
+          "None=Meo, Mr. Alfonzo<br>Age=55.5<br>SHAP=-0.031",
+          "None=Cribb, Mr. John Hatfield<br>Age=44.0<br>SHAP=-0.039",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=-999.0<br>SHAP=0.010",
+          "None=Van der hoef, Mr. Wyckoff<br>Age=61.0<br>SHAP=-0.064",
+          "None=Sivola, Mr. Antti Wilhelm<br>Age=21.0<br>SHAP=0.004",
+          "None=Klasen, Mr. Klas Albin<br>Age=18.0<br>SHAP=-0.001",
+          "None=Rood, Mr. Hugh Roscoe<br>Age=-999.0<br>SHAP=0.015",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=19.0<br>SHAP=0.001",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>SHAP=-0.031",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>SHAP=0.004",
+          "None=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>SHAP=0.007",
+          "None=Blank, Mr. Henry<br>Age=40.0<br>SHAP=-0.029",
+          "None=Ali, Mr. Ahmed<br>Age=24.0<br>SHAP=0.005",
+          "None=Green, Mr. George Henry<br>Age=51.0<br>SHAP=-0.021",
+          "None=Nenkoff, Mr. Christo<br>Age=-999.0<br>SHAP=0.008",
+          "None=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>SHAP=0.009",
+          "None=Harknett, Miss. Alice Phoebe<br>Age=-999.0<br>SHAP=0.007",
+          "None=Hunt, Mr. George Henry<br>Age=33.0<br>SHAP=-0.004",
+          "None=Reed, Mr. James George<br>Age=-999.0<br>SHAP=0.008",
+          "None=Stead, Mr. William Thomas<br>Age=62.0<br>SHAP=-0.055",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Age=-999.0<br>SHAP=0.007",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>SHAP=-0.017",
+          "None=Smith, Mr. Thomas<br>Age=-999.0<br>SHAP=0.012",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>SHAP=0.033",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Age=-999.0<br>SHAP=0.018",
+          "None=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>SHAP=-0.046",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>SHAP=-0.018",
+          "None=Smith, Mr. Richard William<br>Age=-999.0<br>SHAP=0.013",
+          "None=Connolly, Miss. Kate<br>Age=22.0<br>SHAP=0.003",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>SHAP=0.011",
+          "None=Levy, Mr. Rene Jacques<br>Age=36.0<br>SHAP=-0.000",
+          "None=Lewy, Mr. Ervin G<br>Age=-999.0<br>SHAP=0.017",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Age=-999.0<br>SHAP=0.007",
+          "None=Sage, Mr. George John Jr<br>Age=-999.0<br>SHAP=0.023",
+          "None=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>SHAP=-0.033",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=-999.0<br>SHAP=0.008",
+          "None=Denkoff, Mr. Mitto<br>Age=-999.0<br>SHAP=0.008",
+          "None=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>SHAP=-0.012",
+          "None=Dimic, Mr. Jovan<br>Age=42.0<br>SHAP=-0.020",
+          "None=del Carlo, Mr. Sebastiano<br>Age=29.0<br>SHAP=0.002",
+          "None=Beavan, Mr. William Thomas<br>Age=19.0<br>SHAP=0.005",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=-999.0<br>SHAP=0.007",
+          "None=Widener, Mr. Harry Elkins<br>Age=27.0<br>SHAP=0.010",
+          "None=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>SHAP=0.006",
+          "None=Plotcharsky, Mr. Vasil<br>Age=-999.0<br>SHAP=0.008",
+          "None=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>SHAP=0.032",
+          "None=Sadlier, Mr. Matthew<br>Age=-999.0<br>SHAP=0.012",
+          "None=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>SHAP=0.002",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>SHAP=0.014",
+          "None=Niskanen, Mr. Juha<br>Age=39.0<br>SHAP=-0.013",
+          "None=Minahan, Miss. Daisy E<br>Age=33.0<br>SHAP=-0.005",
+          "None=Matthews, Mr. William John<br>Age=30.0<br>SHAP=0.001",
+          "None=Charters, Mr. David<br>Age=21.0<br>SHAP=0.007",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=19.0<br>SHAP=0.005",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>SHAP=-0.029",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Age=-999.0<br>SHAP=0.007",
+          "None=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>SHAP=-0.044",
+          "None=Anderson, Mr. Harry<br>Age=48.0<br>SHAP=-0.029",
+          "None=Milling, Mr. Jacob Christian<br>Age=48.0<br>SHAP=-0.019",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>SHAP=-0.007",
+          "None=Karlsson, Mr. Nils August<br>Age=22.0<br>SHAP=0.007",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Age=-999.0<br>SHAP=0.008",
+          "None=Bishop, Mr. Dickinson H<br>Age=25.0<br>SHAP=0.021",
+          "None=Windelov, Mr. Einar<br>Age=21.0<br>SHAP=0.006",
+          "None=Shellard, Mr. Frederick William<br>Age=-999.0<br>SHAP=0.015",
+          "None=Svensson, Mr. Olof<br>Age=24.0<br>SHAP=0.005",
+          "None=O'Sullivan, Miss. Bridget Mary<br>Age=-999.0<br>SHAP=0.018",
+          "None=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>SHAP=-0.014",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>SHAP=0.031",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=-999.0<br>SHAP=0.017",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=36.0<br>SHAP=-0.003",
+          "None=Kassem, Mr. Fared<br>Age=-999.0<br>SHAP=0.009",
+          "None=Cacic, Miss. Marija<br>Age=30.0<br>SHAP=0.001",
+          "None=Hart, Miss. Eva Miriam<br>Age=7.0<br>SHAP=0.025",
+          "None=Butt, Major. Archibald Willingham<br>Age=45.0<br>SHAP=-0.035",
+          "None=Beane, Mr. Edward<br>Age=32.0<br>SHAP=0.007",
+          "None=Goldsmith, Mr. Frank John<br>Age=33.0<br>SHAP=-0.019",
+          "None=Ohman, Miss. Velin<br>Age=22.0<br>SHAP=0.004",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>SHAP=-0.015",
+          "None=Morrow, Mr. Thomas Rowan<br>Age=-999.0<br>SHAP=0.012",
+          "None=Harris, Mr. George<br>Age=62.0<br>SHAP=-0.037",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>SHAP=-0.022",
+          "None=Patchett, Mr. George<br>Age=19.0<br>SHAP=0.003",
+          "None=Ross, Mr. John Hugo<br>Age=36.0<br>SHAP=0.010",
+          "None=Murdlin, Mr. Joseph<br>Age=-999.0<br>SHAP=0.007",
+          "None=Bourke, Miss. Mary<br>Age=-999.0<br>SHAP=0.022",
+          "None=Boulos, Mr. Hanna<br>Age=-999.0<br>SHAP=0.009",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Age=49.0<br>SHAP=-0.028",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=35.0<br>SHAP=-0.007",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>SHAP=-0.011",
+          "None=Daniel, Mr. Robert Williams<br>Age=27.0<br>SHAP=0.005",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>SHAP=0.011",
+          "None=Shutes, Miss. Elizabeth W<br>Age=40.0<br>SHAP=-0.016",
+          "None=Jardin, Mr. Jose Neto<br>Age=-999.0<br>SHAP=0.008",
+          "None=Horgan, Mr. John<br>Age=-999.0<br>SHAP=0.012",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>SHAP=-0.002",
+          "None=Yasbeck, Mr. Antoni<br>Age=27.0<br>SHAP=0.003",
+          "None=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>SHAP=0.005",
+          "None=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>SHAP=-0.024",
+          "None=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>SHAP=0.030",
+          "None=Willey, Mr. Edward<br>Age=-999.0<br>SHAP=0.008",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>SHAP=0.004",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>Age=18.0<br>SHAP=0.004",
+          "None=Eitemiller, Mr. George Floyd<br>Age=23.0<br>SHAP=0.004",
+          "None=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>SHAP=-0.035",
+          "None=Coleff, Mr. Peju<br>Age=36.0<br>SHAP=-0.012",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>SHAP=-0.021",
+          "None=Davidson, Mr. Thornton<br>Age=31.0<br>SHAP=0.037",
+          "None=Turja, Miss. Anna Sofia<br>Age=18.0<br>SHAP=0.001",
+          "None=Hassab, Mr. Hammad<br>Age=27.0<br>SHAP=0.013",
+          "None=Goodwin, Mr. Charles Edward<br>Age=14.0<br>SHAP=0.005",
+          "None=Panula, Mr. Jaako Arnold<br>Age=14.0<br>SHAP=0.005",
+          "None=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>SHAP=0.006",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>SHAP=-0.036",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>SHAP=0.013",
+          "None=Hansen, Mr. Henrik Juul<br>Age=26.0<br>SHAP=0.003",
+          "None=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>SHAP=-0.026",
+          "None=Klaber, Mr. Herman<br>Age=-999.0<br>SHAP=0.025",
+          "None=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>SHAP=-0.036",
+          "None=Larsson, Mr. August Viktor<br>Age=29.0<br>SHAP=0.005",
+          "None=Greenberg, Mr. Samuel<br>Age=52.0<br>SHAP=-0.031",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>Age=27.0<br>SHAP=0.014",
+          "None=McEvoy, Mr. Michael<br>Age=-999.0<br>SHAP=0.014",
+          "None=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>SHAP=-0.007",
+          "None=Gillespie, Mr. William Henry<br>Age=34.0<br>SHAP=-0.005",
+          "None=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>SHAP=0.012",
+          "None=Berriman, Mr. William John<br>Age=23.0<br>SHAP=0.004",
+          "None=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>SHAP=0.004",
+          "None=Williams, Mr. Leslie<br>Age=28.5<br>SHAP=0.001",
+          "None=Ivanoff, Mr. Kanio<br>Age=-999.0<br>SHAP=0.008",
+          "None=McNamee, Mr. Neal<br>Age=24.0<br>SHAP=-0.001",
+          "None=Connaghton, Mr. Michael<br>Age=31.0<br>SHAP=-0.001",
+          "None=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>SHAP=0.005",
+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>SHAP=0.008",
+          "None=Eklund, Mr. Hans Linus<br>Age=16.0<br>SHAP=0.008",
+          "None=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>SHAP=-0.015",
+          "None=Moran, Mr. Daniel J<br>Age=-999.0<br>SHAP=0.012",
+          "None=Lievens, Mr. Rene Aime<br>Age=24.0<br>SHAP=0.005",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>SHAP=-0.015",
+          "None=Ayoub, Miss. Banoura<br>Age=13.0<br>SHAP=0.015",
+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>SHAP=0.012",
+          "None=Johnston, Mr. Andrew G<br>Age=-999.0<br>SHAP=0.034",
+          "None=Ali, Mr. William<br>Age=25.0<br>SHAP=0.003",
+          "None=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>SHAP=0.002",
+          "None=Guggenheim, Mr. Benjamin<br>Age=46.0<br>SHAP=-0.025",
+          "None=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>SHAP=-0.017",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>SHAP=0.002",
+          "None=Carter, Master. William Thornton II<br>Age=11.0<br>SHAP=0.040",
+          "None=Thomas, Master. Assad Alexander<br>Age=0.42<br>SHAP=0.032",
+          "None=Johansson, Mr. Karl Johan<br>Age=31.0<br>SHAP=0.007",
+          "None=Slemen, Mr. Richard James<br>Age=35.0<br>SHAP=-0.006",
+          "None=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>SHAP=0.004",
+          "None=McCormack, Mr. Thomas Joseph<br>Age=-999.0<br>SHAP=0.012",
+          "None=Richards, Master. George Sibley<br>Age=0.83<br>SHAP=0.042",
+          "None=Mudd, Mr. Thomas Charles<br>Age=16.0<br>SHAP=0.007",
+          "None=Lemberopolous, Mr. Peter L<br>Age=34.5<br>SHAP=-0.019",
+          "None=Sage, Mr. Douglas Bullen<br>Age=-999.0<br>SHAP=0.023",
+          "None=Boulos, Miss. Nourelain<br>Age=9.0<br>SHAP=0.027",
+          "None=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>SHAP=0.003",
+          "None=Razi, Mr. Raihed<br>Age=-999.0<br>SHAP=0.009",
+          "None=Johnson, Master. Harold Theodor<br>Age=4.0<br>SHAP=0.033",
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+       "layout": {
+        "hovermode": "closest",
+        "paper_bgcolor": "#fff",
+        "plot_bgcolor": "#fff",
+        "showlegend": false,
+        "template": {
+         "data": {
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-          "opacity": 0.3,
-          "showscale": true,
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+         }
+        },
+        "title": {
+         "text": "Dependence plot for Age"
+        },
+        "xaxis": {
+         "title": {
+          "text": "Age"
+         }
+        },
+        "yaxis": {
+         "title": {
+          "text": "SHAP value"
+         }
+        }
+       }
+      },
+      "text/html": [
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Alice Phoebe<br>Age=-999.0<br>SHAP=0.007\", \"None=Hunt, Mr. George Henry<br>Age=33.0<br>SHAP=-0.004\", \"None=Reed, Mr. James George<br>Age=-999.0<br>SHAP=0.008\", \"None=Stead, Mr. William Thomas<br>Age=62.0<br>SHAP=-0.055\", \"None=Thorne, Mrs. Gertrude Maybelle<br>Age=-999.0<br>SHAP=0.007\", \"None=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>SHAP=-0.017\", \"None=Smith, Mr. Thomas<br>Age=-999.0<br>SHAP=0.012\", \"None=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>SHAP=0.033\", \"None=Healy, Miss. Hanora \\\"Nora\\\"<br>Age=-999.0<br>SHAP=0.018\", \"None=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>SHAP=-0.046\", \"None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>SHAP=-0.018\", \"None=Smith, Mr. Richard William<br>Age=-999.0<br>SHAP=0.013\", \"None=Connolly, Miss. 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Elizabeth Margaret<br>Age=41.0<br>SHAP=-0.012\", \"None=Dimic, Mr. Jovan<br>Age=42.0<br>SHAP=-0.020\", \"None=del Carlo, Mr. Sebastiano<br>Age=29.0<br>SHAP=0.002\", \"None=Beavan, Mr. William Thomas<br>Age=19.0<br>SHAP=0.005\", \"None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=-999.0<br>SHAP=0.007\", \"None=Widener, Mr. Harry Elkins<br>Age=27.0<br>SHAP=0.010\", \"None=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>SHAP=0.006\", \"None=Plotcharsky, Mr. Vasil<br>Age=-999.0<br>SHAP=0.008\", \"None=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>SHAP=0.032\", \"None=Sadlier, Mr. Matthew<br>Age=-999.0<br>SHAP=0.012\", \"None=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>SHAP=0.002\", \"None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>SHAP=0.014\", \"None=Niskanen, Mr. Juha<br>Age=39.0<br>SHAP=-0.013\", \"None=Minahan, Miss. Daisy E<br>Age=33.0<br>SHAP=-0.005\", \"None=Matthews, Mr. William John<br>Age=30.0<br>SHAP=0.001\", \"None=Charters, Mr. David<br>Age=21.0<br>SHAP=0.007\", \"None=Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Age=19.0<br>SHAP=0.005\", \"None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>SHAP=-0.029\", \"None=Johannesen-Bratthammer, Mr. Bernt<br>Age=-999.0<br>SHAP=0.007\", \"None=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>SHAP=-0.044\", \"None=Anderson, Mr. Harry<br>Age=48.0<br>SHAP=-0.029\", \"None=Milling, Mr. Jacob Christian<br>Age=48.0<br>SHAP=-0.019\", \"None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>SHAP=-0.007\", \"None=Karlsson, Mr. Nils August<br>Age=22.0<br>SHAP=0.007\", \"None=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Age=-999.0<br>SHAP=0.008\", \"None=Bishop, Mr. Dickinson H<br>Age=25.0<br>SHAP=0.021\", \"None=Windelov, Mr. Einar<br>Age=21.0<br>SHAP=0.006\", \"None=Shellard, Mr. Frederick William<br>Age=-999.0<br>SHAP=0.015\", \"None=Svensson, Mr. Olof<br>Age=24.0<br>SHAP=0.005\", \"None=O'Sullivan, Miss. Bridget Mary<br>Age=-999.0<br>SHAP=0.018\", \"None=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>SHAP=-0.014\", \"None=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>SHAP=0.031\", \"None=Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Age=-999.0<br>SHAP=0.017\", \"None=Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Age=36.0<br>SHAP=-0.003\", \"None=Kassem, Mr. Fared<br>Age=-999.0<br>SHAP=0.009\", \"None=Cacic, Miss. Marija<br>Age=30.0<br>SHAP=0.001\", \"None=Hart, Miss. Eva Miriam<br>Age=7.0<br>SHAP=0.025\", \"None=Butt, Major. Archibald Willingham<br>Age=45.0<br>SHAP=-0.035\", \"None=Beane, Mr. Edward<br>Age=32.0<br>SHAP=0.007\", \"None=Goldsmith, Mr. Frank John<br>Age=33.0<br>SHAP=-0.019\", \"None=Ohman, Miss. Velin<br>Age=22.0<br>SHAP=0.004\", \"None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>SHAP=-0.015\", \"None=Morrow, Mr. Thomas Rowan<br>Age=-999.0<br>SHAP=0.012\", \"None=Harris, Mr. George<br>Age=62.0<br>SHAP=-0.037\", \"None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>SHAP=-0.022\", \"None=Patchett, Mr. George<br>Age=19.0<br>SHAP=0.003\", \"None=Ross, Mr. John Hugo<br>Age=36.0<br>SHAP=0.010\", \"None=Murdlin, Mr. Joseph<br>Age=-999.0<br>SHAP=0.007\", \"None=Bourke, Miss. Mary<br>Age=-999.0<br>SHAP=0.022\", \"None=Boulos, Mr. Hanna<br>Age=-999.0<br>SHAP=0.009\", \"None=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Age=49.0<br>SHAP=-0.028\", \"None=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Age=35.0<br>SHAP=-0.007\", \"None=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>SHAP=-0.011\", \"None=Daniel, Mr. Robert Williams<br>Age=27.0<br>SHAP=0.005\", \"None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>SHAP=0.011\", \"None=Shutes, Miss. Elizabeth W<br>Age=40.0<br>SHAP=-0.016\", \"None=Jardin, Mr. Jose Neto<br>Age=-999.0<br>SHAP=0.008\", \"None=Horgan, Mr. John<br>Age=-999.0<br>SHAP=0.012\", \"None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>SHAP=-0.002\", \"None=Yasbeck, Mr. Antoni<br>Age=27.0<br>SHAP=0.003\", \"None=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>SHAP=0.005\", \"None=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>SHAP=-0.024\", \"None=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>SHAP=0.030\", \"None=Willey, Mr. Edward<br>Age=-999.0<br>SHAP=0.008\", \"None=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>SHAP=0.004\", \"None=Hegarty, Miss. Hanora \\\"Nora\\\"<br>Age=18.0<br>SHAP=0.004\", \"None=Eitemiller, Mr. George Floyd<br>Age=23.0<br>SHAP=0.004\", \"None=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>SHAP=-0.035\", \"None=Coleff, Mr. Peju<br>Age=36.0<br>SHAP=-0.012\", \"None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>SHAP=-0.021\", \"None=Davidson, Mr. Thornton<br>Age=31.0<br>SHAP=0.037\", \"None=Turja, Miss. Anna Sofia<br>Age=18.0<br>SHAP=0.001\", \"None=Hassab, Mr. Hammad<br>Age=27.0<br>SHAP=0.013\", \"None=Goodwin, Mr. Charles Edward<br>Age=14.0<br>SHAP=0.005\", \"None=Panula, Mr. Jaako Arnold<br>Age=14.0<br>SHAP=0.005\", \"None=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>SHAP=0.006\", \"None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>SHAP=-0.036\", \"None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>SHAP=0.013\", \"None=Hansen, Mr. Henrik Juul<br>Age=26.0<br>SHAP=0.003\", \"None=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>SHAP=-0.026\", \"None=Klaber, Mr. Herman<br>Age=-999.0<br>SHAP=0.025\", \"None=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>SHAP=-0.036\", \"None=Larsson, Mr. August Viktor<br>Age=29.0<br>SHAP=0.005\", \"None=Greenberg, Mr. Samuel<br>Age=52.0<br>SHAP=-0.031\", \"None=Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Age=27.0<br>SHAP=0.014\", \"None=McEvoy, Mr. Michael<br>Age=-999.0<br>SHAP=0.014\", \"None=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>SHAP=-0.007\", \"None=Gillespie, Mr. William Henry<br>Age=34.0<br>SHAP=-0.005\", \"None=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>SHAP=0.012\", \"None=Berriman, Mr. William John<br>Age=23.0<br>SHAP=0.004\", \"None=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>SHAP=0.004\", \"None=Williams, Mr. Leslie<br>Age=28.5<br>SHAP=0.001\", \"None=Ivanoff, Mr. Kanio<br>Age=-999.0<br>SHAP=0.008\", \"None=McNamee, Mr. Neal<br>Age=24.0<br>SHAP=-0.001\", \"None=Connaghton, Mr. Michael<br>Age=31.0<br>SHAP=-0.001\", \"None=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>SHAP=0.005\", \"None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>SHAP=0.008\", \"None=Eklund, Mr. Hans Linus<br>Age=16.0<br>SHAP=0.008\", \"None=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>SHAP=-0.015\", \"None=Moran, Mr. Daniel J<br>Age=-999.0<br>SHAP=0.012\", \"None=Lievens, Mr. Rene Aime<br>Age=24.0<br>SHAP=0.005\", \"None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>SHAP=-0.015\", \"None=Ayoub, Miss. Banoura<br>Age=13.0<br>SHAP=0.015\", \"None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>SHAP=0.012\", \"None=Johnston, Mr. Andrew G<br>Age=-999.0<br>SHAP=0.034\", \"None=Ali, Mr. William<br>Age=25.0<br>SHAP=0.003\", \"None=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>SHAP=0.002\", \"None=Guggenheim, Mr. Benjamin<br>Age=46.0<br>SHAP=-0.025\", \"None=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>SHAP=-0.017\", \"None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>SHAP=0.002\", \"None=Carter, Master. William Thornton II<br>Age=11.0<br>SHAP=0.040\", \"None=Thomas, Master. Assad Alexander<br>Age=0.42<br>SHAP=0.032\", \"None=Johansson, Mr. Karl Johan<br>Age=31.0<br>SHAP=0.007\", \"None=Slemen, Mr. Richard James<br>Age=35.0<br>SHAP=-0.006\", \"None=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>SHAP=0.004\", \"None=McCormack, Mr. Thomas Joseph<br>Age=-999.0<br>SHAP=0.012\", \"None=Richards, Master. George Sibley<br>Age=0.83<br>SHAP=0.042\", \"None=Mudd, Mr. Thomas Charles<br>Age=16.0<br>SHAP=0.007\", \"None=Lemberopolous, Mr. Peter L<br>Age=34.5<br>SHAP=-0.019\", \"None=Sage, Mr. Douglas Bullen<br>Age=-999.0<br>SHAP=0.023\", \"None=Boulos, Miss. Nourelain<br>Age=9.0<br>SHAP=0.027\", \"None=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>SHAP=0.003\", \"None=Razi, Mr. Raihed<br>Age=-999.0<br>SHAP=0.009\", \"None=Johnson, Master. Harold Theodor<br>Age=4.0<br>SHAP=0.033\", \"None=Carlsson, Mr. Frans Olof<br>Age=33.0<br>SHAP=0.023\", \"None=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>SHAP=0.004\", \"None=Montvila, Rev. Juozas<br>Age=27.0<br>SHAP=0.002\"], \"type\": \"scattergl\", \"x\": [38.0, 35.0, 2.0, 27.0, 14.0, 20.0, 14.0, 38.0, null, 28.0, null, 19.0, 18.0, 21.0, 45.0, 4.0, 26.0, 21.0, 17.0, 16.0, 29.0, 20.0, 46.0, null, 21.0, 38.0, null, 22.0, 20.0, 21.0, 29.0, null, 16.0, 9.0, 36.5, 51.0, 55.5, 44.0, null, 61.0, 21.0, 18.0, null, 19.0, 44.0, 28.0, 32.0, 40.0, 24.0, 51.0, null, 5.0, null, 33.0, null, 62.0, null, 50.0, null, 3.0, null, 63.0, 35.0, null, 22.0, 19.0, 36.0, null, null, null, 61.0, null, null, 41.0, 42.0, 29.0, 19.0, null, 27.0, 19.0, null, 1.0, null, 28.0, 24.0, 39.0, 33.0, 30.0, 21.0, 19.0, 45.0, null, 52.0, 48.0, 48.0, 33.0, 22.0, null, 25.0, 21.0, null, 24.0, null, 37.0, 18.0, null, 36.0, null, 30.0, 7.0, 45.0, 32.0, 33.0, 22.0, 39.0, null, 62.0, 53.0, 19.0, 36.0, null, null, null, 49.0, 35.0, 36.0, 27.0, 22.0, 40.0, null, null, 26.0, 27.0, 26.0, 51.0, 32.0, null, 23.0, 18.0, 23.0, 47.0, 36.0, 40.0, 31.0, 18.0, 27.0, 14.0, 14.0, 18.0, 42.0, 18.0, 26.0, 42.0, null, 48.0, 29.0, 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Age\"}, \"xaxis\": {\"title\": {\"text\": \"Age\"}}, \"yaxis\": {\"title\": {\"text\": \"SHAP value\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('c8ba7cbd-e277-47a1-9975-6cdb503211f0');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "explainer.plot_dependence(\"Age\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T15:58:28.012240Z",
+     "start_time": "2021-01-20T15:58:27.966004Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "box": {
+          "visible": true
          },
-         "mode": "markers",
-         "name": "Deck_C",
-         "opacity": 0.8,
+         "meanline": {
+          "visible": true
+         },
+         "name": "Cherbourg",
          "showlegend": false,
-         "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Deck_C=1<br>shap=-0.004",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Deck_C=1<br>shap=-0.006",
-          "index=Palsson, Master. Gosta Leonard<br>Deck_C=0<br>shap=-0.0",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Deck_C=0<br>shap=-0.001",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Deck_C=0<br>shap=0.001",
-          "index=Saundercock, Mr. William Henry<br>Deck_C=0<br>shap=-0.0",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Deck_C=0<br>shap=-0.001",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Deck_C=0<br>shap=-0.0",
-          "index=Glynn, Miss. Mary Agatha<br>Deck_C=0<br>shap=-0.0",
-          "index=Meyer, Mr. Edgar Joseph<br>Deck_C=0<br>shap=-0.001",
-          "index=Kraeff, Mr. Theodor<br>Deck_C=0<br>shap=-0.002",
-          "index=Devaney, Miss. Margaret Delia<br>Deck_C=0<br>shap=-0.0",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Deck_C=0<br>shap=-0.001",
-          "index=Rugg, Miss. Emily<br>Deck_C=0<br>shap=0.0",
-          "index=Harris, Mr. Henry Birkhardt<br>Deck_C=1<br>shap=-0.007",
-          "index=Skoog, Master. Harald<br>Deck_C=0<br>shap=0.0",
-          "index=Kink, Mr. Vincenz<br>Deck_C=0<br>shap=-0.0",
-          "index=Hood, Mr. Ambrose Jr<br>Deck_C=0<br>shap=-0.0",
-          "index=Ilett, Miss. Bertha<br>Deck_C=0<br>shap=0.0",
-          "index=Ford, Mr. William Neal<br>Deck_C=0<br>shap=-0.0",
-          "index=Christmann, Mr. Emil<br>Deck_C=0<br>shap=-0.0",
-          "index=Andreasson, Mr. Paul Edvin<br>Deck_C=0<br>shap=-0.0",
-          "index=Chaffee, Mr. Herbert Fuller<br>Deck_C=0<br>shap=0.008",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Deck_C=0<br>shap=-0.0",
-          "index=White, Mr. Richard Frasar<br>Deck_C=0<br>shap=0.006",
-          "index=Rekic, Mr. Tido<br>Deck_C=0<br>shap=-0.0",
-          "index=Moran, Miss. Bertha<br>Deck_C=0<br>shap=-0.001",
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-          "index=Pekoniemi, Mr. Edvard<br>Deck_C=0<br>shap=-0.0",
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-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Deck_C=0<br>shap=0.004",
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-          "index=Meo, Mr. Alfonzo<br>Deck_C=0<br>shap=-0.0",
-          "index=Cribb, Mr. John Hatfield<br>Deck_C=0<br>shap=-0.0",
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-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Deck_C=0<br>shap=-0.001",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Deck_C=0<br>shap=0.004",
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-          "index=Asplund, Miss. Lillian Gertrud<br>Deck_C=0<br>shap=-0.001",
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-          "index=Hunt, Mr. George Henry<br>Deck_C=0<br>shap=-0.0",
-          "index=Reed, Mr. James George<br>Deck_C=0<br>shap=-0.0",
-          "index=Stead, Mr. William Thomas<br>Deck_C=1<br>shap=-0.002",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Deck_C=0<br>shap=0.0",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Deck_C=0<br>shap=0.001",
-          "index=Smith, Mr. Thomas<br>Deck_C=0<br>shap=-0.001",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Deck_C=0<br>shap=0.0",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Deck_C=0<br>shap=-0.0",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Deck_C=0<br>shap=0.005",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Deck_C=0<br>shap=-0.0",
-          "index=Smith, Mr. Richard William<br>Deck_C=0<br>shap=0.001",
-          "index=Connolly, Miss. Kate<br>Deck_C=0<br>shap=-0.0",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Deck_C=0<br>shap=0.002",
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-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Deck_C=0<br>shap=0.001",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Deck_C=0<br>shap=0.002",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Deck_C=0<br>shap=-0.0",
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-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Deck_C=0<br>shap=-0.0",
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-          "index=Shellard, Mr. Frederick William<br>Deck_C=0<br>shap=-0.001",
-          "index=Svensson, Mr. Olof<br>Deck_C=0<br>shap=-0.0",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Deck_C=0<br>shap=-0.0",
-          "index=Laitinen, Miss. Kristina Sofia<br>Deck_C=0<br>shap=-0.0",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Deck_C=1<br>shap=0.004",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Deck_C=0<br>shap=-0.0",
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+      ]
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+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "explainer.plot_dependence(\"Embarked\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### color by sex"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T15:58:08.647172Z",
+     "start_time": "2021-01-20T15:58:08.625044Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
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+         "name": "Sex_female",
          "opacity": 0.8,
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-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Deck_F=0<br>shap=-0.001",
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-          "index=Pekoniemi, Mr. Edvard<br>Deck_F=0<br>shap=-0.0",
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-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Deck_F=1<br>shap=0.038",
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-          "index=Meo, Mr. Alfonzo<br>Deck_F=0<br>shap=-0.0",
-          "index=Cribb, Mr. John Hatfield<br>Deck_F=0<br>shap=-0.001",
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-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Deck_F=0<br>shap=-0.001",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Deck_F=0<br>shap=-0.001",
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-          "index=Asplund, Miss. Lillian Gertrud<br>Deck_F=0<br>shap=-0.001",
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-          "index=Hunt, Mr. George Henry<br>Deck_F=0<br>shap=-0.001",
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-          "index=Stead, Mr. William Thomas<br>Deck_F=0<br>shap=-0.001",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Deck_F=0<br>shap=-0.001",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Deck_F=0<br>shap=-0.001",
-          "index=Smith, Mr. Thomas<br>Deck_F=0<br>shap=-0.0",
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-          "index=Healy, Miss. Hanora \"Nora\"<br>Deck_F=0<br>shap=-0.001",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Deck_F=0<br>shap=-0.0",
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-          "index=Connolly, Miss. Kate<br>Deck_F=0<br>shap=-0.001",
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-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Deck_F=0<br>shap=-0.001",
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-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Deck_F=0<br>shap=-0.001",
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-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Deck_F=0<br>shap=-0.001",
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-          "index=Shellard, Mr. Frederick William<br>Deck_F=0<br>shap=-0.0",
-          "index=Svensson, Mr. Olof<br>Deck_F=0<br>shap=-0.0",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Deck_F=0<br>shap=-0.001",
-          "index=Laitinen, Miss. Kristina Sofia<br>Deck_F=0<br>shap=-0.001",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Deck_F=0<br>shap=-0.001",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Deck_F=0<br>shap=-0.001",
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+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=2.0<br>Sex=Sex_male<br>SHAP=0.035",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=20.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Palsson, Master. Gosta Leonard<br>Age=28.0<br>Sex=Sex_male<br>SHAP=-0.001",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.009",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=45.0<br>Sex=Sex_male<br>SHAP=-0.030",
+          "None=Saundercock, Mr. William Henry<br>Age=4.0<br>Sex=Sex_male<br>SHAP=0.029",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=26.0<br>Sex=Sex_male<br>SHAP=0.003",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=21.0<br>Sex=Sex_male<br>SHAP=0.006",
+          "None=Glynn, Miss. Mary Agatha<br>Age=16.0<br>Sex=Sex_male<br>SHAP=0.003",
+          "None=Meyer, Mr. Edgar Joseph<br>Age=29.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Kraeff, Mr. Theodor<br>Age=20.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Devaney, Miss. Margaret Delia<br>Age=46.0<br>Sex=Sex_male<br>SHAP=-0.037",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008",
+          "None=Rugg, Miss. Emily<br>Age=21.0<br>Sex=Sex_male<br>SHAP=0.030",
+          "None=Harris, Mr. Henry Birkhardt<br>Age=38.0<br>Sex=Sex_male<br>SHAP=-0.019",
+          "None=Skoog, Master. Harald<br>Age=22.0<br>Sex=Sex_male<br>SHAP=0.006",
+          "None=Kink, Mr. Vincenz<br>Age=21.0<br>Sex=Sex_male<br>SHAP=0.004",
+          "None=Hood, Mr. Ambrose Jr<br>Age=29.0<br>Sex=Sex_male<br>SHAP=0.003",
+          "None=Ilett, Miss. Bertha<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Ford, Mr. William Neal<br>Age=16.0<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Christmann, Mr. Emil<br>Age=36.5<br>Sex=Sex_male<br>SHAP=-0.010",
+          "None=Andreasson, Mr. Paul Edvin<br>Age=51.0<br>Sex=Sex_male<br>SHAP=-0.019",
+          "None=Chaffee, Mr. Herbert Fuller<br>Age=55.5<br>Sex=Sex_male<br>SHAP=-0.031",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=44.0<br>Sex=Sex_male<br>SHAP=-0.039",
+          "None=White, Mr. Richard Frasar<br>Age=61.0<br>Sex=Sex_male<br>SHAP=-0.064",
+          "None=Rekic, Mr. Tido<br>Age=21.0<br>Sex=Sex_male<br>SHAP=0.004",
+          "None=Moran, Miss. Bertha<br>Age=18.0<br>Sex=Sex_male<br>SHAP=-0.001",
+          "None=Barton, Mr. David John<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.015",
+          "None=Jussila, Miss. Katriina<br>Age=28.0<br>Sex=Sex_male<br>SHAP=0.004",
+          "None=Pekoniemi, Mr. Edvard<br>Age=32.0<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Turpin, Mr. William John Robert<br>Age=40.0<br>Sex=Sex_male<br>SHAP=-0.029",
+          "None=Moore, Mr. Leonard Charles<br>Age=24.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Osen, Mr. Olaf Elon<br>Age=51.0<br>Sex=Sex_male<br>SHAP=-0.021",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=33.0<br>Sex=Sex_male<br>SHAP=-0.004",
+          "None=Bateman, Rev. Robert James<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008",
+          "None=Meo, Mr. Alfonzo<br>Age=62.0<br>Sex=Sex_male<br>SHAP=-0.055",
+          "None=Cribb, Mr. John Hatfield<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.012",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=3.0<br>Sex=Sex_male<br>SHAP=0.033",
+          "None=Van der hoef, Mr. Wyckoff<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.013",
+          "None=Sivola, Mr. Antti Wilhelm<br>Age=36.0<br>Sex=Sex_male<br>SHAP=-0.000",
+          "None=Klasen, Mr. Klas Albin<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.017",
+          "None=Rood, Mr. Hugh Roscoe<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.023",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=61.0<br>Sex=Sex_male<br>SHAP=-0.033",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008",
+          "None=Backstrom, Mr. Karl Alfred<br>Age=42.0<br>Sex=Sex_male<br>SHAP=-0.020",
+          "None=Blank, Mr. Henry<br>Age=29.0<br>Sex=Sex_male<br>SHAP=0.002",
+          "None=Ali, Mr. Ahmed<br>Age=19.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Green, Mr. George Henry<br>Age=27.0<br>Sex=Sex_male<br>SHAP=0.010",
+          "None=Nenkoff, Mr. Christo<br>Age=19.0<br>Sex=Sex_male<br>SHAP=0.006",
+          "None=Asplund, Miss. Lillian Gertrud<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008",
+          "None=Harknett, Miss. Alice Phoebe<br>Age=1.0<br>Sex=Sex_male<br>SHAP=0.032",
+          "None=Hunt, Mr. George Henry<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.012",
+          "None=Reed, Mr. James George<br>Age=28.0<br>Sex=Sex_male<br>SHAP=0.002",
+          "None=Stead, Mr. William Thomas<br>Age=39.0<br>Sex=Sex_male<br>SHAP=-0.013",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Age=30.0<br>Sex=Sex_male<br>SHAP=0.001",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Age=21.0<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Smith, Mr. Thomas<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Age=52.0<br>Sex=Sex_male<br>SHAP=-0.044",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Age=48.0<br>Sex=Sex_male<br>SHAP=-0.029",
+          "None=Andrews, Miss. Kornelia Theodosia<br>Age=48.0<br>Sex=Sex_male<br>SHAP=-0.019",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=22.0<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Smith, Mr. Richard William<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008",
+          "None=Connolly, Miss. Kate<br>Age=25.0<br>Sex=Sex_male<br>SHAP=0.021",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=21.0<br>Sex=Sex_male<br>SHAP=0.006",
+          "None=Levy, Mr. Rene Jacques<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.015",
+          "None=Lewy, Mr. Ervin G<br>Age=24.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Age=18.0<br>Sex=Sex_male<br>SHAP=0.031",
+          "None=Sage, Mr. George John Jr<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.017",
+          "None=Nysveen, Mr. Johan Hansen<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.009",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=45.0<br>Sex=Sex_male<br>SHAP=-0.035",
+          "None=Denkoff, Mr. Mitto<br>Age=32.0<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Burns, Miss. Elizabeth Margaret<br>Age=33.0<br>Sex=Sex_male<br>SHAP=-0.019",
+          "None=Dimic, Mr. Jovan<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.012",
+          "None=del Carlo, Mr. Sebastiano<br>Age=62.0<br>Sex=Sex_male<br>SHAP=-0.037",
+          "None=Beavan, Mr. William Thomas<br>Age=19.0<br>Sex=Sex_male<br>SHAP=0.003",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=36.0<br>Sex=Sex_male<br>SHAP=0.010",
+          "None=Widener, Mr. Harry Elkins<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Gustafsson, Mr. Karl Gideon<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.009",
+          "None=Plotcharsky, Mr. Vasil<br>Age=49.0<br>Sex=Sex_male<br>SHAP=-0.028",
+          "None=Goodwin, Master. Sidney Leonard<br>Age=35.0<br>Sex=Sex_male<br>SHAP=-0.007",
+          "None=Sadlier, Mr. Matthew<br>Age=36.0<br>Sex=Sex_male<br>SHAP=-0.011",
+          "None=Gustafsson, Mr. Johan Birger<br>Age=27.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008",
+          "None=Niskanen, Mr. Juha<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.012",
+          "None=Minahan, Miss. Daisy E<br>Age=27.0<br>Sex=Sex_male<br>SHAP=0.003",
+          "None=Matthews, Mr. William John<br>Age=26.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Charters, Mr. David<br>Age=51.0<br>Sex=Sex_male<br>SHAP=-0.024",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=32.0<br>Sex=Sex_male<br>SHAP=0.030",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Age=23.0<br>Sex=Sex_male<br>SHAP=0.004",
+          "None=Peuchen, Major. Arthur Godfrey<br>Age=47.0<br>Sex=Sex_male<br>SHAP=-0.035",
+          "None=Anderson, Mr. Harry<br>Age=36.0<br>Sex=Sex_male<br>SHAP=-0.012",
+          "None=Milling, Mr. Jacob Christian<br>Age=31.0<br>Sex=Sex_male<br>SHAP=0.037",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=27.0<br>Sex=Sex_male<br>SHAP=0.013",
+          "None=Karlsson, Mr. Nils August<br>Age=14.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Age=14.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Bishop, Mr. Dickinson H<br>Age=18.0<br>Sex=Sex_male<br>SHAP=0.006",
+          "None=Windelov, Mr. Einar<br>Age=42.0<br>Sex=Sex_male<br>SHAP=-0.036",
+          "None=Shellard, Mr. Frederick William<br>Age=26.0<br>Sex=Sex_male<br>SHAP=0.003",
+          "None=Svensson, Mr. Olof<br>Age=42.0<br>Sex=Sex_male<br>SHAP=-0.026",
+          "None=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.025",
+          "None=Laitinen, Miss. Kristina Sofia<br>Age=48.0<br>Sex=Sex_male<br>SHAP=-0.036",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>Age=29.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=52.0<br>Sex=Sex_male<br>SHAP=-0.031",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Kassem, Mr. Fared<br>Age=33.0<br>Sex=Sex_male<br>SHAP=-0.007",
+          "None=Cacic, Miss. Marija<br>Age=34.0<br>Sex=Sex_male<br>SHAP=-0.005",
+          "None=Hart, Miss. Eva Miriam<br>Age=23.0<br>Sex=Sex_male<br>SHAP=0.004",
+          "None=Butt, Major. Archibald Willingham<br>Age=23.0<br>Sex=Sex_male<br>SHAP=0.004",
+          "None=Beane, Mr. Edward<br>Age=28.5<br>Sex=Sex_male<br>SHAP=0.001",
+          "None=Goldsmith, Mr. Frank John<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008",
+          "None=Ohman, Miss. Velin<br>Age=24.0<br>Sex=Sex_male<br>SHAP=-0.001",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=31.0<br>Sex=Sex_male<br>SHAP=-0.001",
+          "None=Morrow, Mr. Thomas Rowan<br>Age=28.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Harris, Mr. George<br>Age=16.0<br>Sex=Sex_male<br>SHAP=0.008",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.012",
+          "None=Patchett, Mr. George<br>Age=24.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Ross, Mr. John Hugo<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.034",
+          "None=Murdlin, Mr. Joseph<br>Age=25.0<br>Sex=Sex_male<br>SHAP=0.003",
+          "None=Bourke, Miss. Mary<br>Age=46.0<br>Sex=Sex_male<br>SHAP=-0.025",
+          "None=Boulos, Mr. Hanna<br>Age=11.0<br>Sex=Sex_male<br>SHAP=0.040",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Age=0.42<br>Sex=Sex_male<br>SHAP=0.032",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=31.0<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Age=35.0<br>Sex=Sex_male<br>SHAP=-0.006",
+          "None=Daniel, Mr. Robert Williams<br>Age=30.5<br>Sex=Sex_male<br>SHAP=0.004",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.012",
+          "None=Shutes, Miss. Elizabeth W<br>Age=0.83<br>Sex=Sex_male<br>SHAP=0.042",
+          "None=Jardin, Mr. Jose Neto<br>Age=16.0<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Horgan, Mr. John<br>Age=34.5<br>Sex=Sex_male<br>SHAP=-0.019",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.023",
+          "None=Yasbeck, Mr. Antoni<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.009",
+          "None=Bostandyeff, Mr. Guentcho<br>Age=4.0<br>Sex=Sex_male<br>SHAP=0.033",
+          "None=Lundahl, Mr. Johan Svensson<br>Age=33.0<br>Sex=Sex_male<br>SHAP=0.023",
+          "None=Stahelin-Maeglin, Dr. Max<br>Age=20.0<br>Sex=Sex_male<br>SHAP=0.004",
+          "None=Willey, Mr. Edward<br>Age=27.0<br>Sex=Sex_male<br>SHAP=0.002"
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+        }
+       ],
+       "layout": {
+        "hovermode": "closest",
+        "paper_bgcolor": "#fff",
+        "plot_bgcolor": "#fff",
+        "showlegend": true,
+        "template": {
+         "data": {
+          "scatter": [
+           {
+            "type": "scatter"
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-          "colorscale": [
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-            "rgb(0,0,255)"
-           ],
-           [
-            1,
-            "rgb(255,0,0)"
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-          ],
+          ]
+         }
+        },
+        "title": {
+         "text": "Dependence plot for Age"
+        },
+        "xaxis": {
+         "title": {
+          "text": "Age"
+         }
+        },
+        "yaxis": {
+         "title": {
+          "text": "SHAP value"
+         }
+        }
+       }
+      },
+      "text/html": [
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Robert James<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008\", \"None=Meo, Mr. Alfonzo<br>Age=62.0<br>Sex=Sex_male<br>SHAP=-0.055\", \"None=Cribb, Mr. John Hatfield<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.012\", \"None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=3.0<br>Sex=Sex_male<br>SHAP=0.033\", \"None=Van der hoef, Mr. Wyckoff<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.013\", \"None=Sivola, Mr. Antti Wilhelm<br>Age=36.0<br>Sex=Sex_male<br>SHAP=-0.000\", \"None=Klasen, Mr. Klas Albin<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.017\", \"None=Rood, Mr. Hugh Roscoe<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.007\", \"None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.023\", \"None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=61.0<br>Sex=Sex_male<br>SHAP=-0.033\", \"None=Vande Walle, Mr. Nestor Cyriel<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008\", \"None=Backstrom, Mr. Karl Alfred<br>Age=42.0<br>Sex=Sex_male<br>SHAP=-0.020\", \"None=Blank, Mr. Henry<br>Age=29.0<br>Sex=Sex_male<br>SHAP=0.002\", \"None=Ali, Mr. Ahmed<br>Age=19.0<br>Sex=Sex_male<br>SHAP=0.005\", \"None=Green, Mr. George Henry<br>Age=27.0<br>Sex=Sex_male<br>SHAP=0.010\", \"None=Nenkoff, Mr. Christo<br>Age=19.0<br>Sex=Sex_male<br>SHAP=0.006\", \"None=Asplund, Miss. Lillian Gertrud<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008\", \"None=Harknett, Miss. Alice Phoebe<br>Age=1.0<br>Sex=Sex_male<br>SHAP=0.032\", \"None=Hunt, Mr. George Henry<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.012\", \"None=Reed, Mr. James George<br>Age=28.0<br>Sex=Sex_male<br>SHAP=0.002\", \"None=Stead, Mr. William Thomas<br>Age=39.0<br>Sex=Sex_male<br>SHAP=-0.013\", \"None=Thorne, Mrs. Gertrude Maybelle<br>Age=30.0<br>Sex=Sex_male<br>SHAP=0.001\", \"None=Parrish, Mrs. (Lutie Davis)<br>Age=21.0<br>Sex=Sex_male<br>SHAP=0.007\", \"None=Smith, Mr. Thomas<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.007\", \"None=Asplund, Master. Edvin Rojj Felix<br>Age=52.0<br>Sex=Sex_male<br>SHAP=-0.044\", \"None=Healy, Miss. Hanora \\\"Nora\\\"<br>Age=48.0<br>Sex=Sex_male<br>SHAP=-0.029\", \"None=Andrews, Miss. Kornelia Theodosia<br>Age=48.0<br>Sex=Sex_male<br>SHAP=-0.019\", \"None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=22.0<br>Sex=Sex_male<br>SHAP=0.007\", \"None=Smith, Mr. Richard William<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008\", \"None=Connolly, Miss. Kate<br>Age=25.0<br>Sex=Sex_male<br>SHAP=0.021\", \"None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=21.0<br>Sex=Sex_male<br>SHAP=0.006\", \"None=Levy, Mr. Rene Jacques<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.015\", \"None=Lewy, Mr. Ervin G<br>Age=24.0<br>Sex=Sex_male<br>SHAP=0.005\", \"None=Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Age=18.0<br>Sex=Sex_male<br>SHAP=0.031\", \"None=Sage, Mr. George John Jr<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.017\", \"None=Nysveen, Mr. Johan Hansen<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.009\", \"None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=45.0<br>Sex=Sex_male<br>SHAP=-0.035\", \"None=Denkoff, Mr. Mitto<br>Age=32.0<br>Sex=Sex_male<br>SHAP=0.007\", \"None=Burns, Miss. Elizabeth Margaret<br>Age=33.0<br>Sex=Sex_male<br>SHAP=-0.019\", \"None=Dimic, Mr. Jovan<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.012\", \"None=del Carlo, Mr. Sebastiano<br>Age=62.0<br>Sex=Sex_male<br>SHAP=-0.037\", \"None=Beavan, Mr. William Thomas<br>Age=19.0<br>Sex=Sex_male<br>SHAP=0.003\", \"None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=36.0<br>Sex=Sex_male<br>SHAP=0.010\", \"None=Widener, Mr. Harry Elkins<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.007\", \"None=Gustafsson, Mr. Karl Gideon<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.009\", \"None=Plotcharsky, Mr. Vasil<br>Age=49.0<br>Sex=Sex_male<br>SHAP=-0.028\", \"None=Goodwin, Master. Sidney Leonard<br>Age=35.0<br>Sex=Sex_male<br>SHAP=-0.007\", \"None=Sadlier, Mr. Matthew<br>Age=36.0<br>Sex=Sex_male<br>SHAP=-0.011\", \"None=Gustafsson, Mr. Johan Birger<br>Age=27.0<br>Sex=Sex_male<br>SHAP=0.005\", \"None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008\", \"None=Niskanen, Mr. Juha<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.012\", \"None=Minahan, Miss. Daisy E<br>Age=27.0<br>Sex=Sex_male<br>SHAP=0.003\", \"None=Matthews, Mr. William John<br>Age=26.0<br>Sex=Sex_male<br>SHAP=0.005\", \"None=Charters, Mr. David<br>Age=51.0<br>Sex=Sex_male<br>SHAP=-0.024\", \"None=Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Age=32.0<br>Sex=Sex_male<br>SHAP=0.030\", \"None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008\", \"None=Johannesen-Bratthammer, Mr. Bernt<br>Age=23.0<br>Sex=Sex_male<br>SHAP=0.004\", \"None=Peuchen, Major. Arthur Godfrey<br>Age=47.0<br>Sex=Sex_male<br>SHAP=-0.035\", \"None=Anderson, Mr. Harry<br>Age=36.0<br>Sex=Sex_male<br>SHAP=-0.012\", \"None=Milling, Mr. Jacob Christian<br>Age=31.0<br>Sex=Sex_male<br>SHAP=0.037\", \"None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=27.0<br>Sex=Sex_male<br>SHAP=0.013\", \"None=Karlsson, Mr. Nils August<br>Age=14.0<br>Sex=Sex_male<br>SHAP=0.005\", \"None=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Age=14.0<br>Sex=Sex_male<br>SHAP=0.005\", \"None=Bishop, Mr. Dickinson H<br>Age=18.0<br>Sex=Sex_male<br>SHAP=0.006\", \"None=Windelov, Mr. Einar<br>Age=42.0<br>Sex=Sex_male<br>SHAP=-0.036\", \"None=Shellard, Mr. Frederick William<br>Age=26.0<br>Sex=Sex_male<br>SHAP=0.003\", \"None=Svensson, Mr. Olof<br>Age=42.0<br>Sex=Sex_male<br>SHAP=-0.026\", \"None=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.025\", \"None=Laitinen, Miss. Kristina Sofia<br>Age=48.0<br>Sex=Sex_male<br>SHAP=-0.036\", \"None=Penasco y Castellana, Mr. Victor de Satode<br>Age=29.0<br>Sex=Sex_male<br>SHAP=0.005\", \"None=Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Age=52.0<br>Sex=Sex_male<br>SHAP=-0.031\", \"None=Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Kassem, Mr. Fared<br>Age=33.0<br>Sex=Sex_male<br>SHAP=-0.007\", \"None=Cacic, Miss. Marija<br>Age=34.0<br>Sex=Sex_male<br>SHAP=-0.005\", \"None=Hart, Miss. Eva Miriam<br>Age=23.0<br>Sex=Sex_male<br>SHAP=0.004\", \"None=Butt, Major. Archibald Willingham<br>Age=23.0<br>Sex=Sex_male<br>SHAP=0.004\", \"None=Beane, Mr. Edward<br>Age=28.5<br>Sex=Sex_male<br>SHAP=0.001\", \"None=Goldsmith, Mr. Frank John<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008\", \"None=Ohman, Miss. Velin<br>Age=24.0<br>Sex=Sex_male<br>SHAP=-0.001\", \"None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=31.0<br>Sex=Sex_male<br>SHAP=-0.001\", \"None=Morrow, Mr. Thomas Rowan<br>Age=28.0<br>Sex=Sex_male<br>SHAP=0.005\", \"None=Harris, Mr. George<br>Age=16.0<br>Sex=Sex_male<br>SHAP=0.008\", \"None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.012\", \"None=Patchett, Mr. George<br>Age=24.0<br>Sex=Sex_male<br>SHAP=0.005\", \"None=Ross, Mr. John Hugo<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.034\", \"None=Murdlin, Mr. Joseph<br>Age=25.0<br>Sex=Sex_male<br>SHAP=0.003\", \"None=Bourke, Miss. Mary<br>Age=46.0<br>Sex=Sex_male<br>SHAP=-0.025\", \"None=Boulos, Mr. Hanna<br>Age=11.0<br>Sex=Sex_male<br>SHAP=0.040\", \"None=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Age=0.42<br>Sex=Sex_male<br>SHAP=0.032\", \"None=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Age=31.0<br>Sex=Sex_male<br>SHAP=0.007\", \"None=Lindell, Mr. Edvard Bengtsson<br>Age=35.0<br>Sex=Sex_male<br>SHAP=-0.006\", \"None=Daniel, Mr. Robert Williams<br>Age=30.5<br>Sex=Sex_male<br>SHAP=0.004\", \"None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.012\", \"None=Shutes, Miss. Elizabeth W<br>Age=0.83<br>Sex=Sex_male<br>SHAP=0.042\", \"None=Jardin, Mr. Jose Neto<br>Age=16.0<br>Sex=Sex_male<br>SHAP=0.007\", \"None=Horgan, Mr. John<br>Age=34.5<br>Sex=Sex_male<br>SHAP=-0.019\", \"None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.023\", \"None=Yasbeck, Mr. Antoni<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.009\", \"None=Bostandyeff, Mr. Guentcho<br>Age=4.0<br>Sex=Sex_male<br>SHAP=0.033\", \"None=Lundahl, Mr. Johan Svensson<br>Age=33.0<br>Sex=Sex_male<br>SHAP=0.023\", \"None=Stahelin-Maeglin, Dr. Max<br>Age=20.0<br>Sex=Sex_male<br>SHAP=0.004\", \"None=Willey, Mr. Edward<br>Age=27.0<br>Sex=Sex_male<br>SHAP=0.002\"], \"type\": \"scattergl\", \"x\": [2.0, 20.0, 28.0, null, 45.0, 4.0, 26.0, 21.0, 16.0, 29.0, 20.0, 46.0, null, 21.0, 38.0, 22.0, 21.0, 29.0, null, 16.0, 36.5, 51.0, 55.5, 44.0, 61.0, 21.0, 18.0, null, 28.0, 32.0, 40.0, 24.0, 51.0, null, 33.0, null, 62.0, null, 3.0, null, 36.0, null, null, null, 61.0, null, 42.0, 29.0, 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+       "                            \n",
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+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "explainer.plot_dependence(\"Age\", color_col=\"Sex\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T15:58:42.891565Z",
+     "start_time": "2021-01-20T15:58:42.827096Z"
+    }
+   },
+   "outputs": [
+    {
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-         "name": "Deck_A",
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+         "name": "male",
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+         "text": [
+          "None: Meyer, Mr. Edgar Joseph<br>shap: 0.009<br>Sex: male",
+          "None: Kraeff, Mr. Theodor<br>shap: 0.031<br>Sex: male",
+          "None: Blank, Mr. Henry<br>shap: 0.006<br>Sex: male",
+          "None: Levy, Mr. Rene Jacques<br>shap: 0.017<br>Sex: male",
+          "None: Lewy, Mr. Ervin G<br>shap: 0.019<br>Sex: male",
+          "None: del Carlo, Mr. Sebastiano<br>shap: 0.024<br>Sex: male",
+          "None: Widener, Mr. Harry Elkins<br>shap: 0.024<br>Sex: male",
+          "None: Bishop, Mr. Dickinson H<br>shap: 0.019<br>Sex: male",
+          "None: Penasco y Castellana, Mr. Victor de Satode<br>shap: 0.023<br>Sex: male",
+          "None: Kassem, Mr. Fared<br>shap: 0.031<br>Sex: male",
+          "None: Ross, Mr. John Hugo<br>shap: 0.009<br>Sex: male",
+          "None: Boulos, Mr. Hanna<br>shap: 0.031<br>Sex: male",
+          "None: Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>shap: 0.014<br>Sex: male",
+          "None: Homer, Mr. Harry (\"Mr E Haven\")<br>shap: 0.014<br>Sex: male",
+          "None: Yasbeck, Mr. Antoni<br>shap: 0.033<br>Sex: male",
+          "None: Stahelin-Maeglin, Dr. Max<br>shap: 0.015<br>Sex: male",
+          "None: Hassab, Mr. Hammad<br>shap: 0.026<br>Sex: male",
+          "None: Guggenheim, Mr. Benjamin<br>shap: 0.026<br>Sex: male",
+          "None: Thomas, Master. Assad Alexander<br>shap: 0.035<br>Sex: male",
+          "None: Lemberopolous, Mr. Peter L<br>shap: 0.025<br>Sex: male",
+          "None: Razi, Mr. Raihed<br>shap: 0.031<br>Sex: male"
+         ],
+         "type": "scattergl",
+         "x": [
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+          "opacity": 0.3,
+          "size": 7
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+         "mode": "markers",
+         "name": "female",
+         "showlegend": true,
+         "text": [
+          "None: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>shap: 0.040<br>Sex: female",
+          "None: Nasser, Mrs. Nicholas (Adele Achem)<br>shap: 0.065<br>Sex: female",
+          "None: Brown, Mrs. James Joseph (Margaret Tobin)<br>shap: 0.024<br>Sex: female",
+          "None: Thorne, Mrs. Gertrude Maybelle<br>shap: 0.045<br>Sex: female",
+          "None: Bishop, Mrs. Dickinson H (Helen Walton)<br>shap: 0.038<br>Sex: female",
+          "None: Burns, Miss. Elizabeth Margaret<br>shap: 0.041<br>Sex: female",
+          "None: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>shap: 0.050<br>Sex: female",
+          "None: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>shap: 0.061<br>Sex: female",
+          "None: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>shap: 0.043<br>Sex: female",
+          "None: Ayoub, Miss. Banoura<br>shap: 0.051<br>Sex: female",
+          "None: Boulos, Miss. Nourelain<br>shap: 0.059<br>Sex: female"
+         ],
+         "type": "scattergl",
+         "x": [
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+          0.06089557218450125,
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+          0.051264773259955106,
+          0.0586885795348322
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+         "yaxis": "y2"
+        },
+        {
+         "box": {
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+         "meanline": {
+          "visible": true
+         },
+         "name": "Queenstown",
+         "showlegend": false,
+         "type": "violin",
+         "x": [
+          "Queenstown",
+          "Queenstown",
+          "Queenstown",
+          "Queenstown",
+          "Queenstown",
+          "Queenstown",
+          "Queenstown",
+          "Queenstown",
+          "Queenstown",
+          "Queenstown",
+          "Queenstown",
+          "Queenstown",
+          "Queenstown",
+          "Queenstown",
+          "Queenstown",
+          "Queenstown",
+          "Queenstown",
+          "Queenstown"
+         ],
+         "xaxis": "x3",
+         "y": [
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+          0.010052630819208546,
+          0.05700231361194559,
+          0.013690830319643563,
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+         "yaxis": "y3"
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+        {
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+         "marker": {
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+          "opacity": 0.3,
+          "size": 7
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+         "mode": "markers",
+         "name": "male",
          "showlegend": false,
          "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Deck_A=0<br>shap=-0.0",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Deck_A=0<br>shap=-0.0",
-          "index=Palsson, Master. Gosta Leonard<br>Deck_A=0<br>shap=-0.001",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Deck_A=0<br>shap=-0.0",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Deck_A=0<br>shap=-0.001",
-          "index=Saundercock, Mr. William Henry<br>Deck_A=0<br>shap=-0.0",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Deck_A=0<br>shap=-0.0",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Deck_A=0<br>shap=-0.0",
-          "index=Glynn, Miss. Mary Agatha<br>Deck_A=0<br>shap=-0.0",
-          "index=Meyer, Mr. Edgar Joseph<br>Deck_A=0<br>shap=-0.001",
-          "index=Kraeff, Mr. Theodor<br>Deck_A=0<br>shap=-0.0",
-          "index=Devaney, Miss. Margaret Delia<br>Deck_A=0<br>shap=-0.0",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Deck_A=0<br>shap=-0.0",
-          "index=Rugg, Miss. Emily<br>Deck_A=0<br>shap=-0.0",
-          "index=Harris, Mr. Henry Birkhardt<br>Deck_A=0<br>shap=-0.001",
-          "index=Skoog, Master. Harald<br>Deck_A=0<br>shap=-0.001",
-          "index=Kink, Mr. Vincenz<br>Deck_A=0<br>shap=-0.0",
-          "index=Hood, Mr. Ambrose Jr<br>Deck_A=0<br>shap=-0.0",
-          "index=Ilett, Miss. Bertha<br>Deck_A=0<br>shap=-0.0",
-          "index=Ford, Mr. William Neal<br>Deck_A=0<br>shap=-0.0",
-          "index=Christmann, Mr. Emil<br>Deck_A=0<br>shap=-0.0",
-          "index=Andreasson, Mr. Paul Edvin<br>Deck_A=0<br>shap=-0.0",
-          "index=Chaffee, Mr. Herbert Fuller<br>Deck_A=0<br>shap=-0.0",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Deck_A=0<br>shap=-0.0",
-          "index=White, Mr. Richard Frasar<br>Deck_A=0<br>shap=-0.0",
-          "index=Rekic, Mr. Tido<br>Deck_A=0<br>shap=-0.0",
-          "index=Moran, Miss. Bertha<br>Deck_A=0<br>shap=-0.0",
-          "index=Barton, Mr. David John<br>Deck_A=0<br>shap=-0.0",
-          "index=Jussila, Miss. Katriina<br>Deck_A=0<br>shap=-0.0",
-          "index=Pekoniemi, Mr. Edvard<br>Deck_A=0<br>shap=-0.0",
-          "index=Turpin, Mr. William John Robert<br>Deck_A=0<br>shap=-0.001",
-          "index=Moore, Mr. Leonard Charles<br>Deck_A=0<br>shap=-0.0",
-          "index=Osen, Mr. Olaf Elon<br>Deck_A=0<br>shap=-0.0",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Deck_A=0<br>shap=-0.0",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Deck_A=0<br>shap=-0.0",
-          "index=Bateman, Rev. Robert James<br>Deck_A=0<br>shap=-0.001",
-          "index=Meo, Mr. Alfonzo<br>Deck_A=0<br>shap=-0.001",
-          "index=Cribb, Mr. John Hatfield<br>Deck_A=0<br>shap=-0.001",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Deck_A=0<br>shap=-0.0",
-          "index=Van der hoef, Mr. Wyckoff<br>Deck_A=0<br>shap=-0.001",
-          "index=Sivola, Mr. Antti Wilhelm<br>Deck_A=0<br>shap=-0.0",
-          "index=Klasen, Mr. Klas Albin<br>Deck_A=0<br>shap=-0.0",
-          "index=Rood, Mr. Hugh Roscoe<br>Deck_A=1<br>shap=-0.0",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Deck_A=0<br>shap=-0.0",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Deck_A=0<br>shap=-0.0",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Deck_A=0<br>shap=-0.001",
-          "index=Backstrom, Mr. Karl Alfred<br>Deck_A=0<br>shap=-0.001",
-          "index=Blank, Mr. Henry<br>Deck_A=1<br>shap=0.015",
-          "index=Ali, Mr. Ahmed<br>Deck_A=0<br>shap=-0.0",
-          "index=Green, Mr. George Henry<br>Deck_A=0<br>shap=-0.001",
-          "index=Nenkoff, Mr. Christo<br>Deck_A=0<br>shap=-0.0",
-          "index=Asplund, Miss. Lillian Gertrud<br>Deck_A=0<br>shap=-0.001",
-          "index=Harknett, Miss. Alice Phoebe<br>Deck_A=0<br>shap=-0.0",
-          "index=Hunt, Mr. George Henry<br>Deck_A=0<br>shap=-0.001",
-          "index=Reed, Mr. James George<br>Deck_A=0<br>shap=-0.0",
-          "index=Stead, Mr. William Thomas<br>Deck_A=0<br>shap=-0.001",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Deck_A=0<br>shap=-0.0",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Deck_A=0<br>shap=-0.0",
-          "index=Smith, Mr. Thomas<br>Deck_A=0<br>shap=-0.0",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Deck_A=0<br>shap=-0.001",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Deck_A=0<br>shap=-0.0",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Deck_A=0<br>shap=-0.0",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Deck_A=0<br>shap=-0.0",
-          "index=Smith, Mr. Richard William<br>Deck_A=1<br>shap=0.015",
-          "index=Connolly, Miss. Kate<br>Deck_A=0<br>shap=-0.0",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Deck_A=0<br>shap=-0.0",
-          "index=Levy, Mr. Rene Jacques<br>Deck_A=0<br>shap=-0.001",
-          "index=Lewy, Mr. Ervin G<br>Deck_A=0<br>shap=-0.001",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Deck_A=0<br>shap=-0.0",
-          "index=Sage, Mr. George John Jr<br>Deck_A=0<br>shap=-0.001",
-          "index=Nysveen, Mr. Johan Hansen<br>Deck_A=0<br>shap=-0.001",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Deck_A=0<br>shap=-0.0",
-          "index=Denkoff, Mr. Mitto<br>Deck_A=0<br>shap=-0.0",
-          "index=Burns, Miss. Elizabeth Margaret<br>Deck_A=0<br>shap=-0.001",
-          "index=Dimic, Mr. Jovan<br>Deck_A=0<br>shap=-0.001",
-          "index=del Carlo, Mr. Sebastiano<br>Deck_A=0<br>shap=-0.001",
-          "index=Beavan, Mr. William Thomas<br>Deck_A=0<br>shap=-0.0",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Deck_A=0<br>shap=-0.0",
-          "index=Widener, Mr. Harry Elkins<br>Deck_A=0<br>shap=-0.0",
-          "index=Gustafsson, Mr. Karl Gideon<br>Deck_A=0<br>shap=-0.0",
-          "index=Plotcharsky, Mr. Vasil<br>Deck_A=0<br>shap=-0.0",
-          "index=Goodwin, Master. Sidney Leonard<br>Deck_A=0<br>shap=-0.001",
-          "index=Sadlier, Mr. Matthew<br>Deck_A=0<br>shap=-0.0",
-          "index=Gustafsson, Mr. Johan Birger<br>Deck_A=0<br>shap=-0.0",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Deck_A=0<br>shap=-0.0",
-          "index=Niskanen, Mr. Juha<br>Deck_A=0<br>shap=-0.001",
-          "index=Minahan, Miss. Daisy E<br>Deck_A=0<br>shap=-0.0",
-          "index=Matthews, Mr. William John<br>Deck_A=0<br>shap=-0.001",
-          "index=Charters, Mr. David<br>Deck_A=0<br>shap=-0.0",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Deck_A=0<br>shap=-0.0",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Deck_A=0<br>shap=-0.0",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Deck_A=0<br>shap=-0.0",
-          "index=Peuchen, Major. Arthur Godfrey<br>Deck_A=0<br>shap=-0.001",
-          "index=Anderson, Mr. Harry<br>Deck_A=0<br>shap=-0.001",
-          "index=Milling, Mr. Jacob Christian<br>Deck_A=0<br>shap=-0.001",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Deck_A=0<br>shap=-0.0",
-          "index=Karlsson, Mr. Nils August<br>Deck_A=0<br>shap=-0.0",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Deck_A=0<br>shap=-0.0",
-          "index=Bishop, Mr. Dickinson H<br>Deck_A=0<br>shap=-0.0",
-          "index=Windelov, Mr. Einar<br>Deck_A=0<br>shap=-0.0",
-          "index=Shellard, Mr. Frederick William<br>Deck_A=0<br>shap=-0.0",
-          "index=Svensson, Mr. Olof<br>Deck_A=0<br>shap=-0.0",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Deck_A=0<br>shap=-0.0",
-          "index=Laitinen, Miss. Kristina Sofia<br>Deck_A=0<br>shap=-0.0",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Deck_A=0<br>shap=-0.0",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Deck_A=0<br>shap=-0.001",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Deck_A=0<br>shap=-0.0",
-          "index=Kassem, Mr. Fared<br>Deck_A=0<br>shap=-0.0",
-          "index=Cacic, Miss. Marija<br>Deck_A=0<br>shap=-0.0",
-          "index=Hart, Miss. Eva Miriam<br>Deck_A=0<br>shap=-0.0",
-          "index=Butt, Major. Archibald Willingham<br>Deck_A=0<br>shap=-0.001",
-          "index=Beane, Mr. Edward<br>Deck_A=0<br>shap=-0.001",
-          "index=Goldsmith, Mr. Frank John<br>Deck_A=0<br>shap=-0.0",
-          "index=Ohman, Miss. Velin<br>Deck_A=0<br>shap=-0.0",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Deck_A=0<br>shap=-0.0",
-          "index=Morrow, Mr. Thomas Rowan<br>Deck_A=0<br>shap=-0.0",
-          "index=Harris, Mr. George<br>Deck_A=0<br>shap=-0.001",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Deck_A=0<br>shap=-0.0",
-          "index=Patchett, Mr. George<br>Deck_A=0<br>shap=-0.0",
-          "index=Ross, Mr. John Hugo<br>Deck_A=1<br>shap=0.023",
-          "index=Murdlin, Mr. Joseph<br>Deck_A=0<br>shap=-0.0",
-          "index=Bourke, Miss. Mary<br>Deck_A=0<br>shap=-0.0",
-          "index=Boulos, Mr. Hanna<br>Deck_A=0<br>shap=-0.0",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Deck_A=1<br>shap=0.008",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Deck_A=0<br>shap=-0.001",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Deck_A=0<br>shap=-0.001",
-          "index=Daniel, Mr. Robert Williams<br>Deck_A=0<br>shap=-0.001",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Deck_A=0<br>shap=-0.0",
-          "index=Shutes, Miss. Elizabeth W<br>Deck_A=0<br>shap=-0.001",
-          "index=Jardin, Mr. Jose Neto<br>Deck_A=0<br>shap=-0.0",
-          "index=Horgan, Mr. John<br>Deck_A=0<br>shap=-0.0",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Deck_A=0<br>shap=-0.0",
-          "index=Yasbeck, Mr. Antoni<br>Deck_A=0<br>shap=-0.001",
-          "index=Bostandyeff, Mr. Guentcho<br>Deck_A=0<br>shap=-0.0",
-          "index=Lundahl, Mr. Johan Svensson<br>Deck_A=0<br>shap=-0.001",
-          "index=Stahelin-Maeglin, Dr. Max<br>Deck_A=0<br>shap=-0.001",
-          "index=Willey, Mr. Edward<br>Deck_A=0<br>shap=-0.0",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Deck_A=0<br>shap=-0.0",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Deck_A=0<br>shap=-0.0",
-          "index=Eitemiller, Mr. George Floyd<br>Deck_A=0<br>shap=-0.001",
-          "index=Colley, Mr. Edward Pomeroy<br>Deck_A=0<br>shap=-0.001",
-          "index=Coleff, Mr. Peju<br>Deck_A=0<br>shap=-0.0",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Deck_A=0<br>shap=-0.001",
-          "index=Davidson, Mr. Thornton<br>Deck_A=0<br>shap=-0.0",
-          "index=Turja, Miss. Anna Sofia<br>Deck_A=0<br>shap=-0.0",
-          "index=Hassab, Mr. Hammad<br>Deck_A=0<br>shap=-0.0",
-          "index=Goodwin, Mr. Charles Edward<br>Deck_A=0<br>shap=-0.0",
-          "index=Panula, Mr. Jaako Arnold<br>Deck_A=0<br>shap=-0.001",
-          "index=Fischer, Mr. Eberhard Thelander<br>Deck_A=0<br>shap=-0.0",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Deck_A=0<br>shap=-0.001",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Deck_A=0<br>shap=-0.0",
-          "index=Hansen, Mr. Henrik Juul<br>Deck_A=0<br>shap=-0.0",
-          "index=Calderhead, Mr. Edward Pennington<br>Deck_A=0<br>shap=-0.001",
-          "index=Klaber, Mr. Herman<br>Deck_A=0<br>shap=-0.001",
-          "index=Taylor, Mr. Elmer Zebley<br>Deck_A=0<br>shap=-0.001",
-          "index=Larsson, Mr. August Viktor<br>Deck_A=0<br>shap=-0.0",
-          "index=Greenberg, Mr. Samuel<br>Deck_A=0<br>shap=-0.001",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Deck_A=0<br>shap=-0.0",
-          "index=McEvoy, Mr. Michael<br>Deck_A=0<br>shap=-0.0",
-          "index=Johnson, Mr. Malkolm Joackim<br>Deck_A=0<br>shap=-0.0",
-          "index=Gillespie, Mr. William Henry<br>Deck_A=0<br>shap=-0.001",
-          "index=Allen, Miss. Elisabeth Walton<br>Deck_A=0<br>shap=-0.0",
-          "index=Berriman, Mr. William John<br>Deck_A=0<br>shap=-0.001",
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-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Deck_G=0<br>shap=0.001",
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-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Deck_G=0<br>shap=0.0",
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-          "index=Kink, Mr. Vincenz<br>Deck_G=0<br>shap=0.0",
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-          "index=Gustafsson, Mr. Johan Birger<br>Deck_G=0<br>shap=0.0",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Deck_G=1<br>shap=-0.023",
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-          "index=Minahan, Miss. Daisy E<br>Deck_G=0<br>shap=0.001",
-          "index=Matthews, Mr. William John<br>Deck_G=0<br>shap=0.0",
-          "index=Charters, Mr. David<br>Deck_G=0<br>shap=0.0",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Deck_G=0<br>shap=0.0",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Deck_G=0<br>shap=0.0",
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-          "index=Anderson, Mr. Harry<br>Deck_G=0<br>shap=0.0",
-          "index=Milling, Mr. Jacob Christian<br>Deck_G=0<br>shap=0.0",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Deck_G=0<br>shap=0.0",
-          "index=Karlsson, Mr. Nils August<br>Deck_G=0<br>shap=0.0",
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-          "index=Shellard, Mr. Frederick William<br>Deck_G=0<br>shap=0.0",
-          "index=Svensson, Mr. Olof<br>Deck_G=0<br>shap=0.0",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Deck_G=0<br>shap=0.0",
-          "index=Laitinen, Miss. Kristina Sofia<br>Deck_G=0<br>shap=0.0",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Deck_G=0<br>shap=0.0",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Deck_G=0<br>shap=0.0",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Deck_G=0<br>shap=0.0",
-          "index=Kassem, Mr. Fared<br>Deck_G=0<br>shap=0.0",
-          "index=Cacic, Miss. Marija<br>Deck_G=0<br>shap=0.0",
-          "index=Hart, Miss. Eva Miriam<br>Deck_G=0<br>shap=0.0",
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-          "index=Beane, Mr. Edward<br>Deck_G=0<br>shap=0.0",
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-          "index=Ohman, Miss. Velin<br>Deck_G=0<br>shap=0.0",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Deck_G=0<br>shap=0.001",
-          "index=Morrow, Mr. Thomas Rowan<br>Deck_G=0<br>shap=0.0",
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-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Deck_G=0<br>shap=0.001",
-          "index=Patchett, Mr. George<br>Deck_G=0<br>shap=0.0",
-          "index=Ross, Mr. John Hugo<br>Deck_G=0<br>shap=0.0",
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-          "index=Bourke, Miss. Mary<br>Deck_G=0<br>shap=0.0",
-          "index=Boulos, Mr. Hanna<br>Deck_G=0<br>shap=0.0",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Deck_G=0<br>shap=0.0",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Deck_G=0<br>shap=0.0",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Deck_G=0<br>shap=0.0",
-          "index=Daniel, Mr. Robert Williams<br>Deck_G=0<br>shap=0.0",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Deck_G=0<br>shap=0.0",
-          "index=Shutes, Miss. Elizabeth W<br>Deck_G=0<br>shap=0.001",
-          "index=Jardin, Mr. Jose Neto<br>Deck_G=0<br>shap=0.0",
-          "index=Horgan, Mr. John<br>Deck_G=0<br>shap=0.0",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Deck_G=0<br>shap=0.0",
-          "index=Yasbeck, Mr. Antoni<br>Deck_G=0<br>shap=0.0",
-          "index=Bostandyeff, Mr. Guentcho<br>Deck_G=0<br>shap=0.0",
-          "index=Lundahl, Mr. Johan Svensson<br>Deck_G=0<br>shap=0.0",
-          "index=Stahelin-Maeglin, Dr. Max<br>Deck_G=0<br>shap=0.0",
-          "index=Willey, Mr. Edward<br>Deck_G=0<br>shap=0.0",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Deck_G=0<br>shap=0.0",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Deck_G=0<br>shap=0.0",
-          "index=Eitemiller, Mr. George Floyd<br>Deck_G=0<br>shap=0.0",
-          "index=Colley, Mr. Edward Pomeroy<br>Deck_G=0<br>shap=0.0",
-          "index=Coleff, Mr. Peju<br>Deck_G=0<br>shap=0.0",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Deck_G=0<br>shap=0.0",
-          "index=Davidson, Mr. Thornton<br>Deck_G=0<br>shap=0.0",
-          "index=Turja, Miss. Anna Sofia<br>Deck_G=0<br>shap=0.0",
-          "index=Hassab, Mr. Hammad<br>Deck_G=0<br>shap=0.0",
-          "index=Goodwin, Mr. Charles Edward<br>Deck_G=0<br>shap=0.0",
-          "index=Panula, Mr. Jaako Arnold<br>Deck_G=0<br>shap=0.0",
-          "index=Fischer, Mr. Eberhard Thelander<br>Deck_G=0<br>shap=0.0",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Deck_G=0<br>shap=0.0",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Deck_G=0<br>shap=0.001",
-          "index=Hansen, Mr. Henrik Juul<br>Deck_G=0<br>shap=0.0",
-          "index=Calderhead, Mr. Edward Pennington<br>Deck_G=0<br>shap=0.0",
-          "index=Klaber, Mr. Herman<br>Deck_G=0<br>shap=0.0",
-          "index=Taylor, Mr. Elmer Zebley<br>Deck_G=0<br>shap=0.0",
-          "index=Larsson, Mr. August Viktor<br>Deck_G=0<br>shap=0.0",
-          "index=Greenberg, Mr. Samuel<br>Deck_G=0<br>shap=0.0",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Deck_G=0<br>shap=0.001",
-          "index=McEvoy, Mr. Michael<br>Deck_G=0<br>shap=0.0",
-          "index=Johnson, Mr. Malkolm Joackim<br>Deck_G=0<br>shap=0.0",
-          "index=Gillespie, Mr. William Henry<br>Deck_G=0<br>shap=0.0",
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-          "index=Berriman, Mr. William John<br>Deck_G=0<br>shap=0.0",
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-          "index=Ivanoff, Mr. Kanio<br>Deck_G=0<br>shap=0.0",
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-          "index=Carlsson, Mr. August Sigfrid<br>Deck_G=0<br>shap=0.0",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Deck_G=0<br>shap=0.001",
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-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Deck_G=0<br>shap=0.001",
-          "index=Moran, Mr. Daniel J<br>Deck_G=0<br>shap=0.0",
-          "index=Lievens, Mr. Rene Aime<br>Deck_G=0<br>shap=0.0",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Deck_G=0<br>shap=0.001",
-          "index=Ayoub, Miss. Banoura<br>Deck_G=0<br>shap=0.0",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Deck_G=0<br>shap=0.001",
-          "index=Johnston, Mr. Andrew G<br>Deck_G=0<br>shap=0.0",
-          "index=Ali, Mr. William<br>Deck_G=0<br>shap=0.0",
-          "index=Sjoblom, Miss. Anna Sofia<br>Deck_G=0<br>shap=0.0",
-          "index=Guggenheim, Mr. Benjamin<br>Deck_G=0<br>shap=0.0",
-          "index=Leader, Dr. Alice (Farnham)<br>Deck_G=0<br>shap=0.001",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Deck_G=0<br>shap=0.0",
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-          "index=Johansson, Mr. Karl Johan<br>Deck_G=0<br>shap=0.0",
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-          "index=Tomlin, Mr. Ernest Portage<br>Deck_G=0<br>shap=0.0",
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-          "index=Mudd, Mr. Thomas Charles<br>Deck_G=0<br>shap=0.0",
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-          "index=Boulos, Miss. Nourelain<br>Deck_G=0<br>shap=0.0",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Deck_G=0<br>shap=0.0",
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+          "None: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>shap: -0.028<br>Sex: female",
+          "None: Vestrom, Miss. Hulda Amanda Adolfina<br>shap: -0.034<br>Sex: female",
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+          "None: Chibnall, Mrs. (Edith Martha Bowerman)<br>shap: -0.022<br>Sex: female",
+          "None: Andersen-Jensen, Miss. Carla Christine Nielsine<br>shap: -0.034<br>Sex: female",
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+          "None: Harknett, Miss. Alice Phoebe<br>shap: -0.035<br>Sex: female",
+          "None: Parrish, Mrs. (Lutie Davis)<br>shap: -0.016<br>Sex: female",
+          "None: Andrews, Miss. Kornelia Theodosia<br>shap: -0.024<br>Sex: female",
+          "None: Abbott, Mrs. Stanton (Rosa Hunt)<br>shap: -0.028<br>Sex: female",
+          "None: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>shap: -0.025<br>Sex: female",
+          "None: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>shap: -0.022<br>Sex: female",
+          "None: Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>shap: -0.026<br>Sex: female",
+          "None: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>shap: -0.020<br>Sex: female",
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Elisabeth Walton<br>shap: -0.016<br>Sex: female\", \"None: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>shap: -0.015<br>Sex: female\", \"None: Hogeboom, Mrs. John C (Anna Andrews)<br>shap: -0.019<br>Sex: female\", \"None: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>shap: -0.018<br>Sex: female\", \"None: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>shap: -0.020<br>Sex: female\", \"None: Sjoblom, Miss. Anna Sofia<br>shap: -0.033<br>Sex: female\", \"None: Leader, Dr. Alice (Farnham)<br>shap: -0.014<br>Sex: female\", \"None: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>shap: -0.023<br>Sex: female\", \"None: Aks, Mrs. Sam (Leah Rosen)<br>shap: -0.030<br>Sex: female\"], \"type\": \"scattergl\", \"x\": [0.4170424183669806, -0.44027639097464616, -1.2579161208336431, -1.00978342859258, 2.0664651880132783, -1.3265907087103734, 0.5282033715551504, -0.21769928851976986, -0.0013248936545041442, 1.7001410481705164, 0.5122702746299104, -2.1108384983637785, 0.08794926704528934, 0.2988168534722947, 0.9423439697527137, -0.23377132842952736, -3.022428818162502, -0.2290448538509135, -0.39252976172244813, -1.8794941930460496, 0.45643607064316283, -2.3282151503466872, -0.1691449116072583, 1.2706070537147078, 0.5158352405827212, 0.12243069004560309, 1.0097404959018048, -0.7668223322700141, -0.9916979146687928, 0.1714117826116529, -0.2897639545533141, -0.8994184942939645, -0.8295503771784484, 0.07847355751424832, 1.7268006930932038, 1.6058582954482534, 1.095402537222799, 1.1812093199567486, 0.09962455965270954, 0.013416911929569416, -0.6501200042266247, -0.2662398260340624, -0.7666164019991185], \"xaxis\": \"x6\", \"y\": [-0.01973522131537109, -0.028129969659028524, -0.03442428966418204, -0.03298032637896262, -0.03764467697909326, -0.025240721671069378, -0.024841620571911433, -0.0349202054527379, -0.0381028573455852, -0.021782812366726283, -0.03397468831581581, -0.040876989878789904, -0.035341546852412614, -0.015961501780183938, -0.024288233175620497, -0.027664093978134647, -0.025056799376833257, -0.02246088043641507, -0.026012280257850632, -0.019862388362799414, -0.02305566816136292, -0.028086043233899714, -0.025280306221773605, -0.029671168777939363, -0.024514004517796388, -0.03268297344967961, -0.02103998424891222, -0.01934623978592788, -0.022148593283069465, -0.030766297592273523, -0.032435355903613024, -0.02145554870919129, -0.03404164566582123, -0.022833079462454657, -0.015698346457355388, -0.01504054082598547, -0.018522696337630234, -0.018087897025425775, -0.019658461859120006, -0.03337749209557678, -0.01442792818479724, -0.022970157066744202, -0.030388935717947554], \"yaxis\": \"y6\"}],                        {\"hovermode\": \"closest\", \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Shap values for Embarked<br>(colored by Sex)\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 0.20833333333333334]}, \"xaxis2\": {\"anchor\": \"y2\", \"domain\": [0.24166666666666667, 0.3111111111111111], \"showgrid\": false, \"visible\": false, \"zeroline\": false}, \"xaxis3\": {\"anchor\": \"y3\", \"domain\": [0.34444444444444444, 0.5527777777777778]}, \"xaxis4\": {\"anchor\": \"y4\", \"domain\": [0.5861111111111111, 0.6555555555555556], \"showgrid\": false, \"visible\": false, \"zeroline\": false}, \"xaxis5\": {\"anchor\": \"y5\", \"domain\": [0.6888888888888889, 0.8972222222222223]}, \"xaxis6\": {\"anchor\": \"y6\", \"domain\": [0.9305555555555556, 1.0], \"showgrid\": false, \"visible\": false, \"zeroline\": false}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"range\": [-0.05141665650849264, 0.07505934304794022], \"title\": {\"text\": \"SHAP value\"}}, \"yaxis2\": {\"anchor\": \"x2\", \"domain\": [0.0, 1.0], \"matches\": \"y\", \"range\": [-0.05141665650849264, 0.07505934304794022], \"showgrid\": false, \"showticklabels\": false, \"zeroline\": false}, \"yaxis3\": {\"anchor\": \"x3\", \"domain\": [0.0, 1.0], \"matches\": \"y\", \"range\": [-0.05141665650849264, 0.07505934304794022], \"showticklabels\": false}, \"yaxis4\": {\"anchor\": \"x4\", \"domain\": [0.0, 1.0], \"matches\": \"y\", \"range\": [-0.05141665650849264, 0.07505934304794022], \"showgrid\": false, \"showticklabels\": false, \"zeroline\": false}, \"yaxis5\": {\"anchor\": \"x5\", \"domain\": [0.0, 1.0], \"matches\": \"y\", \"range\": [-0.05141665650849264, 0.07505934304794022], \"showticklabels\": false}, \"yaxis6\": {\"anchor\": \"x6\", \"domain\": [0.0, 1.0], \"matches\": \"y\", \"range\": [-0.05141665650849264, 0.07505934304794022], \"showgrid\": false, \"showticklabels\": false, \"zeroline\": false}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('28fe8c4e-20d7-482a-949c-8d236fb23395');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "explainer.plot_dependence(\"Embarked\", color_col=\"Sex\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Highlight particular index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T15:58:57.214238Z",
+     "start_time": "2021-01-20T15:58:57.183317Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
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-          "colorbar": {
-           "showticklabels": false,
-           "title": {
-            "text": "feature value <br> (red is high)"
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-         "name": "Sex_nan",
+         "name": "Sex_female",
          "opacity": 0.8,
-         "showlegend": false,
+         "showlegend": true,
          "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Sex_nan=0<br>shap=0.0",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Sex_nan=0<br>shap=0.0",
-          "index=Palsson, Master. Gosta Leonard<br>Sex_nan=0<br>shap=0.0",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Sex_nan=0<br>shap=0.0",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Sex_nan=0<br>shap=0.0",
-          "index=Saundercock, Mr. William Henry<br>Sex_nan=0<br>shap=0.0",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Sex_nan=0<br>shap=0.0",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Sex_nan=0<br>shap=0.0",
-          "index=Glynn, Miss. Mary Agatha<br>Sex_nan=0<br>shap=0.0",
-          "index=Meyer, Mr. Edgar Joseph<br>Sex_nan=0<br>shap=0.0",
-          "index=Kraeff, Mr. Theodor<br>Sex_nan=0<br>shap=0.0",
-          "index=Devaney, Miss. Margaret Delia<br>Sex_nan=0<br>shap=0.0",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Sex_nan=0<br>shap=0.0",
-          "index=Rugg, Miss. Emily<br>Sex_nan=0<br>shap=0.0",
-          "index=Harris, Mr. Henry Birkhardt<br>Sex_nan=0<br>shap=0.0",
-          "index=Skoog, Master. Harald<br>Sex_nan=0<br>shap=0.0",
-          "index=Kink, Mr. Vincenz<br>Sex_nan=0<br>shap=0.0",
-          "index=Hood, Mr. Ambrose Jr<br>Sex_nan=0<br>shap=0.0",
-          "index=Ilett, Miss. Bertha<br>Sex_nan=0<br>shap=0.0",
-          "index=Ford, Mr. William Neal<br>Sex_nan=0<br>shap=0.0",
-          "index=Christmann, Mr. Emil<br>Sex_nan=0<br>shap=0.0",
-          "index=Andreasson, Mr. Paul Edvin<br>Sex_nan=0<br>shap=0.0",
-          "index=Chaffee, Mr. Herbert Fuller<br>Sex_nan=0<br>shap=0.0",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Sex_nan=0<br>shap=0.0",
-          "index=White, Mr. Richard Frasar<br>Sex_nan=0<br>shap=0.0",
-          "index=Rekic, Mr. Tido<br>Sex_nan=0<br>shap=0.0",
-          "index=Moran, Miss. Bertha<br>Sex_nan=0<br>shap=0.0",
-          "index=Barton, Mr. David John<br>Sex_nan=0<br>shap=0.0",
-          "index=Jussila, Miss. Katriina<br>Sex_nan=0<br>shap=0.0",
-          "index=Pekoniemi, Mr. Edvard<br>Sex_nan=0<br>shap=0.0",
-          "index=Turpin, Mr. William John Robert<br>Sex_nan=0<br>shap=0.0",
-          "index=Moore, Mr. Leonard Charles<br>Sex_nan=0<br>shap=0.0",
-          "index=Osen, Mr. Olaf Elon<br>Sex_nan=0<br>shap=0.0",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Sex_nan=0<br>shap=0.0",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Sex_nan=0<br>shap=0.0",
-          "index=Bateman, Rev. Robert James<br>Sex_nan=0<br>shap=0.0",
-          "index=Meo, Mr. Alfonzo<br>Sex_nan=0<br>shap=0.0",
-          "index=Cribb, Mr. John Hatfield<br>Sex_nan=0<br>shap=0.0",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Sex_nan=0<br>shap=0.0",
-          "index=Van der hoef, Mr. Wyckoff<br>Sex_nan=0<br>shap=0.0",
-          "index=Sivola, Mr. Antti Wilhelm<br>Sex_nan=0<br>shap=0.0",
-          "index=Klasen, Mr. Klas Albin<br>Sex_nan=0<br>shap=0.0",
-          "index=Rood, Mr. Hugh Roscoe<br>Sex_nan=0<br>shap=0.0",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Sex_nan=0<br>shap=0.0",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Sex_nan=0<br>shap=0.0",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Sex_nan=0<br>shap=0.0",
-          "index=Backstrom, Mr. Karl Alfred<br>Sex_nan=0<br>shap=0.0",
-          "index=Blank, Mr. Henry<br>Sex_nan=0<br>shap=0.0",
-          "index=Ali, Mr. Ahmed<br>Sex_nan=0<br>shap=0.0",
-          "index=Green, Mr. George Henry<br>Sex_nan=0<br>shap=0.0",
-          "index=Nenkoff, Mr. Christo<br>Sex_nan=0<br>shap=0.0",
-          "index=Asplund, Miss. Lillian Gertrud<br>Sex_nan=0<br>shap=0.0",
-          "index=Harknett, Miss. Alice Phoebe<br>Sex_nan=0<br>shap=0.0",
-          "index=Hunt, Mr. George Henry<br>Sex_nan=0<br>shap=0.0",
-          "index=Reed, Mr. James George<br>Sex_nan=0<br>shap=0.0",
-          "index=Stead, Mr. William Thomas<br>Sex_nan=0<br>shap=0.0",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Sex_nan=0<br>shap=0.0",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Sex_nan=0<br>shap=0.0",
-          "index=Smith, Mr. Thomas<br>Sex_nan=0<br>shap=0.0",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Sex_nan=0<br>shap=0.0",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Sex_nan=0<br>shap=0.0",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Sex_nan=0<br>shap=0.0",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Sex_nan=0<br>shap=0.0",
-          "index=Smith, Mr. Richard William<br>Sex_nan=0<br>shap=0.0",
-          "index=Connolly, Miss. Kate<br>Sex_nan=0<br>shap=0.0",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Sex_nan=0<br>shap=0.0",
-          "index=Levy, Mr. Rene Jacques<br>Sex_nan=0<br>shap=0.0",
-          "index=Lewy, Mr. Ervin G<br>Sex_nan=0<br>shap=0.0",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Sex_nan=0<br>shap=0.0",
-          "index=Sage, Mr. George John Jr<br>Sex_nan=0<br>shap=0.0",
-          "index=Nysveen, Mr. Johan Hansen<br>Sex_nan=0<br>shap=0.0",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Sex_nan=0<br>shap=0.0",
-          "index=Denkoff, Mr. Mitto<br>Sex_nan=0<br>shap=0.0",
-          "index=Burns, Miss. Elizabeth Margaret<br>Sex_nan=0<br>shap=0.0",
-          "index=Dimic, Mr. Jovan<br>Sex_nan=0<br>shap=0.0",
-          "index=del Carlo, Mr. Sebastiano<br>Sex_nan=0<br>shap=0.0",
-          "index=Beavan, Mr. William Thomas<br>Sex_nan=0<br>shap=0.0",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Sex_nan=0<br>shap=0.0",
-          "index=Widener, Mr. Harry Elkins<br>Sex_nan=0<br>shap=0.0",
-          "index=Gustafsson, Mr. Karl Gideon<br>Sex_nan=0<br>shap=0.0",
-          "index=Plotcharsky, Mr. Vasil<br>Sex_nan=0<br>shap=0.0",
-          "index=Goodwin, Master. Sidney Leonard<br>Sex_nan=0<br>shap=0.0",
-          "index=Sadlier, Mr. Matthew<br>Sex_nan=0<br>shap=0.0",
-          "index=Gustafsson, Mr. Johan Birger<br>Sex_nan=0<br>shap=0.0",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Sex_nan=0<br>shap=0.0",
-          "index=Niskanen, Mr. Juha<br>Sex_nan=0<br>shap=0.0",
-          "index=Minahan, Miss. Daisy E<br>Sex_nan=0<br>shap=0.0",
-          "index=Matthews, Mr. William John<br>Sex_nan=0<br>shap=0.0",
-          "index=Charters, Mr. David<br>Sex_nan=0<br>shap=0.0",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Sex_nan=0<br>shap=0.0",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Sex_nan=0<br>shap=0.0",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Sex_nan=0<br>shap=0.0",
-          "index=Peuchen, Major. Arthur Godfrey<br>Sex_nan=0<br>shap=0.0",
-          "index=Anderson, Mr. Harry<br>Sex_nan=0<br>shap=0.0",
-          "index=Milling, Mr. Jacob Christian<br>Sex_nan=0<br>shap=0.0",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Sex_nan=0<br>shap=0.0",
-          "index=Karlsson, Mr. Nils August<br>Sex_nan=0<br>shap=0.0",
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+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=2.0<br>Sex=Sex_male<br>SHAP=0.035",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=20.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Palsson, Master. Gosta Leonard<br>Age=28.0<br>Sex=Sex_male<br>SHAP=-0.001",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.009",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=45.0<br>Sex=Sex_male<br>SHAP=-0.030",
+          "None=Saundercock, Mr. William Henry<br>Age=4.0<br>Sex=Sex_male<br>SHAP=0.029",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=26.0<br>Sex=Sex_male<br>SHAP=0.003",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=21.0<br>Sex=Sex_male<br>SHAP=0.006",
+          "None=Glynn, Miss. Mary Agatha<br>Age=16.0<br>Sex=Sex_male<br>SHAP=0.003",
+          "None=Meyer, Mr. Edgar Joseph<br>Age=29.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Kraeff, Mr. Theodor<br>Age=20.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Devaney, Miss. Margaret Delia<br>Age=46.0<br>Sex=Sex_male<br>SHAP=-0.037",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008",
+          "None=Rugg, Miss. Emily<br>Age=21.0<br>Sex=Sex_male<br>SHAP=0.030",
+          "None=Harris, Mr. Henry Birkhardt<br>Age=38.0<br>Sex=Sex_male<br>SHAP=-0.019",
+          "None=Skoog, Master. Harald<br>Age=22.0<br>Sex=Sex_male<br>SHAP=0.006",
+          "None=Kink, Mr. Vincenz<br>Age=21.0<br>Sex=Sex_male<br>SHAP=0.004",
+          "None=Hood, Mr. Ambrose Jr<br>Age=29.0<br>Sex=Sex_male<br>SHAP=0.003",
+          "None=Ilett, Miss. Bertha<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Ford, Mr. William Neal<br>Age=16.0<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Christmann, Mr. Emil<br>Age=36.5<br>Sex=Sex_male<br>SHAP=-0.010",
+          "None=Andreasson, Mr. Paul Edvin<br>Age=51.0<br>Sex=Sex_male<br>SHAP=-0.019",
+          "None=Chaffee, Mr. Herbert Fuller<br>Age=55.5<br>Sex=Sex_male<br>SHAP=-0.031",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=44.0<br>Sex=Sex_male<br>SHAP=-0.039",
+          "None=White, Mr. Richard Frasar<br>Age=61.0<br>Sex=Sex_male<br>SHAP=-0.064",
+          "None=Rekic, Mr. Tido<br>Age=21.0<br>Sex=Sex_male<br>SHAP=0.004",
+          "None=Moran, Miss. Bertha<br>Age=18.0<br>Sex=Sex_male<br>SHAP=-0.001",
+          "None=Barton, Mr. David John<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.015",
+          "None=Jussila, Miss. Katriina<br>Age=28.0<br>Sex=Sex_male<br>SHAP=0.004",
+          "None=Pekoniemi, Mr. Edvard<br>Age=32.0<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Turpin, Mr. William John Robert<br>Age=40.0<br>Sex=Sex_male<br>SHAP=-0.029",
+          "None=Moore, Mr. Leonard Charles<br>Age=24.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Osen, Mr. Olaf Elon<br>Age=51.0<br>Sex=Sex_male<br>SHAP=-0.021",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=33.0<br>Sex=Sex_male<br>SHAP=-0.004",
+          "None=Bateman, Rev. Robert James<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008",
+          "None=Meo, Mr. Alfonzo<br>Age=62.0<br>Sex=Sex_male<br>SHAP=-0.055",
+          "None=Cribb, Mr. John Hatfield<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.012",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=3.0<br>Sex=Sex_male<br>SHAP=0.033",
+          "None=Van der hoef, Mr. Wyckoff<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.013",
+          "None=Sivola, Mr. Antti Wilhelm<br>Age=36.0<br>Sex=Sex_male<br>SHAP=-0.000",
+          "None=Klasen, Mr. Klas Albin<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.017",
+          "None=Rood, Mr. Hugh Roscoe<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.023",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=61.0<br>Sex=Sex_male<br>SHAP=-0.033",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008",
+          "None=Backstrom, Mr. Karl Alfred<br>Age=42.0<br>Sex=Sex_male<br>SHAP=-0.020",
+          "None=Blank, Mr. Henry<br>Age=29.0<br>Sex=Sex_male<br>SHAP=0.002",
+          "None=Ali, Mr. Ahmed<br>Age=19.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Green, Mr. George Henry<br>Age=27.0<br>Sex=Sex_male<br>SHAP=0.010",
+          "None=Nenkoff, Mr. Christo<br>Age=19.0<br>Sex=Sex_male<br>SHAP=0.006",
+          "None=Asplund, Miss. Lillian Gertrud<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008",
+          "None=Harknett, Miss. Alice Phoebe<br>Age=1.0<br>Sex=Sex_male<br>SHAP=0.032",
+          "None=Hunt, Mr. George Henry<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.012",
+          "None=Reed, Mr. James George<br>Age=28.0<br>Sex=Sex_male<br>SHAP=0.002",
+          "None=Stead, Mr. William Thomas<br>Age=39.0<br>Sex=Sex_male<br>SHAP=-0.013",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Age=30.0<br>Sex=Sex_male<br>SHAP=0.001",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Age=21.0<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Smith, Mr. Thomas<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Age=52.0<br>Sex=Sex_male<br>SHAP=-0.044",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Age=48.0<br>Sex=Sex_male<br>SHAP=-0.029",
+          "None=Andrews, Miss. Kornelia Theodosia<br>Age=48.0<br>Sex=Sex_male<br>SHAP=-0.019",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=22.0<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Smith, Mr. Richard William<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008",
+          "None=Connolly, Miss. Kate<br>Age=25.0<br>Sex=Sex_male<br>SHAP=0.021",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=21.0<br>Sex=Sex_male<br>SHAP=0.006",
+          "None=Levy, Mr. Rene Jacques<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.015",
+          "None=Lewy, Mr. Ervin G<br>Age=24.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Age=18.0<br>Sex=Sex_male<br>SHAP=0.031",
+          "None=Sage, Mr. George John Jr<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.017",
+          "None=Nysveen, Mr. Johan Hansen<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.009",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=45.0<br>Sex=Sex_male<br>SHAP=-0.035",
+          "None=Denkoff, Mr. Mitto<br>Age=32.0<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Burns, Miss. Elizabeth Margaret<br>Age=33.0<br>Sex=Sex_male<br>SHAP=-0.019",
+          "None=Dimic, Mr. Jovan<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.012",
+          "None=del Carlo, Mr. Sebastiano<br>Age=62.0<br>Sex=Sex_male<br>SHAP=-0.037",
+          "None=Beavan, Mr. William Thomas<br>Age=19.0<br>Sex=Sex_male<br>SHAP=0.003",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=36.0<br>Sex=Sex_male<br>SHAP=0.010",
+          "None=Widener, Mr. Harry Elkins<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.007",
+          "None=Gustafsson, Mr. Karl Gideon<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.009",
+          "None=Plotcharsky, Mr. Vasil<br>Age=49.0<br>Sex=Sex_male<br>SHAP=-0.028",
+          "None=Goodwin, Master. Sidney Leonard<br>Age=35.0<br>Sex=Sex_male<br>SHAP=-0.007",
+          "None=Sadlier, Mr. Matthew<br>Age=36.0<br>Sex=Sex_male<br>SHAP=-0.011",
+          "None=Gustafsson, Mr. Johan Birger<br>Age=27.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.008",
+          "None=Niskanen, Mr. Juha<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.012",
+          "None=Minahan, Miss. Daisy E<br>Age=27.0<br>Sex=Sex_male<br>SHAP=0.003",
+          "None=Matthews, Mr. William John<br>Age=26.0<br>Sex=Sex_male<br>SHAP=0.005",
+          "None=Charters, Mr. David<br>Age=51.0<br>Sex=Sex_male<br>SHAP=-0.024",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=32.0<br>Sex=Sex_male<br>SHAP=0.030",
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+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Age=23.0<br>Sex=Sex_male<br>SHAP=0.004",
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@@ -27105,551 +19072,1494 @@
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+         "title": {
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-         "anchor": "y16",
-         "domain": [
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+        "yaxis": {
+         "title": {
+          "text": "SHAP value"
+         }
+        }
+       }
+      },
+      "text/html": [
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Velin<br>Age=24.0<br>Sex=Sex_male<br>SHAP=-0.001\", \"None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=31.0<br>Sex=Sex_male<br>SHAP=-0.001\", \"None=Morrow, Mr. Thomas Rowan<br>Age=28.0<br>Sex=Sex_male<br>SHAP=0.005\", \"None=Harris, Mr. George<br>Age=16.0<br>Sex=Sex_male<br>SHAP=0.008\", \"None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.012\", \"None=Patchett, Mr. George<br>Age=24.0<br>Sex=Sex_male<br>SHAP=0.005\", \"None=Ross, Mr. John Hugo<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.034\", \"None=Murdlin, Mr. Joseph<br>Age=25.0<br>Sex=Sex_male<br>SHAP=0.003\", \"None=Bourke, Miss. Mary<br>Age=46.0<br>Sex=Sex_male<br>SHAP=-0.025\", \"None=Boulos, Mr. Hanna<br>Age=11.0<br>Sex=Sex_male<br>SHAP=0.040\", \"None=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Age=0.42<br>Sex=Sex_male<br>SHAP=0.032\", \"None=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Age=31.0<br>Sex=Sex_male<br>SHAP=0.007\", \"None=Lindell, Mr. Edvard Bengtsson<br>Age=35.0<br>Sex=Sex_male<br>SHAP=-0.006\", \"None=Daniel, Mr. Robert Williams<br>Age=30.5<br>Sex=Sex_male<br>SHAP=0.004\", \"None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.012\", \"None=Shutes, Miss. 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{\"hovermode\": \"closest\", \"paper_bgcolor\": \"#fff\", \"plot_bgcolor\": \"#fff\", \"showlegend\": true, \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Dependence plot for Age\"}, \"xaxis\": {\"title\": {\"text\": \"Age\"}}, \"yaxis\": {\"title\": {\"text\": \"SHAP value\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('110702e3-ed92-463d-aa19-3265a528994e');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\n",
+    "explainer.plot_dependence(\"Age\", color_col=\"Sex\", highlight_index=5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Shap interactions plots"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T15:59:01.645938Z",
+     "start_time": "2021-01-20T15:59:01.604622Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
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+           "title": {
+            "text": "PassengerClass"
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+         "text": [
+          "None: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>shap: 0.015<br>PassengerClass: 1",
+          "None: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>shap: 0.016<br>PassengerClass: 1",
+          "None: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>shap: -0.025<br>PassengerClass: 3",
+          "None: Nasser, Mrs. Nicholas (Adele Achem)<br>shap: 0.030<br>PassengerClass: 2",
+          "None: Vestrom, Miss. Hulda Amanda Adolfina<br>shap: -0.022<br>PassengerClass: 3",
+          "None: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>shap: -0.030<br>PassengerClass: 3",
+          "None: Glynn, Miss. Mary Agatha<br>shap: -0.018<br>PassengerClass: 3",
+          "None: Devaney, Miss. Margaret Delia<br>shap: -0.018<br>PassengerClass: 3",
+          "None: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>shap: -0.024<br>PassengerClass: 3",
+          "None: Rugg, Miss. Emily<br>shap: 0.026<br>PassengerClass: 2",
+          "None: Ilett, Miss. Bertha<br>shap: 0.026<br>PassengerClass: 2",
+          "None: Moran, Miss. Bertha<br>shap: -0.022<br>PassengerClass: 3",
+          "None: Jussila, Miss. Katriina<br>shap: -0.022<br>PassengerClass: 3",
+          "None: Ford, Miss. Robina Maggie \"Ruby\"<br>shap: -0.027<br>PassengerClass: 3",
+          "None: Chibnall, Mrs. (Edith Martha Bowerman)<br>shap: 0.019<br>PassengerClass: 1",
+          "None: Andersen-Jensen, Miss. Carla Christine Nielsine<br>shap: -0.022<br>PassengerClass: 3",
+          "None: Brown, Mrs. James Joseph (Margaret Tobin)<br>shap: 0.015<br>PassengerClass: 1",
+          "None: Asplund, Miss. Lillian Gertrud<br>shap: -0.028<br>PassengerClass: 3",
+          "None: Harknett, Miss. Alice Phoebe<br>shap: -0.021<br>PassengerClass: 3",
+          "None: Thorne, Mrs. Gertrude Maybelle<br>shap: 0.022<br>PassengerClass: 1",
+          "None: Parrish, Mrs. (Lutie Davis)<br>shap: 0.028<br>PassengerClass: 2",
+          "None: Healy, Miss. Hanora \"Nora\"<br>shap: -0.018<br>PassengerClass: 3",
+          "None: Andrews, Miss. Kornelia Theodosia<br>shap: 0.018<br>PassengerClass: 1",
+          "None: Abbott, Mrs. Stanton (Rosa Hunt)<br>shap: -0.023<br>PassengerClass: 3",
+          "None: Connolly, Miss. Kate<br>shap: -0.019<br>PassengerClass: 3",
+          "None: Bishop, Mrs. Dickinson H (Helen Walton)<br>shap: 0.011<br>PassengerClass: 1",
+          "None: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>shap: 0.018<br>PassengerClass: 1",
+          "None: Burns, Miss. Elizabeth Margaret<br>shap: 0.018<br>PassengerClass: 1",
+          "None: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>shap: 0.019<br>PassengerClass: 1",
+          "None: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>shap: -0.025<br>PassengerClass: 3",
+          "None: Minahan, Miss. Daisy E<br>shap: 0.016<br>PassengerClass: 1",
+          "None: Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>shap: 0.032<br>PassengerClass: 2",
+          "None: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>shap: 0.028<br>PassengerClass: 2",
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        "                            \n",
-       "var gd = document.getElementById('e04b2d08-478a-424d-9f65-f02990acbb56');\n",
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     }
    ],
    "source": [
-    "explainer.plot_shap_detailed(topx=None, cats=False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## interaction importances"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### mean absolute shap interaction values for interactions with 'Sex' \n",
-    "- the direct effect is usually the largest\n",
-    "- in this case PassengerClass shows the biggest interaction with gender"
+    "explainer.plot_interaction(\"Sex\", \"PassengerClass\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 25,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:40:11.285486Z",
-     "start_time": "2020-10-12T08:40:10.608268Z"
+     "end_time": "2021-01-20T15:59:05.619954Z",
+     "start_time": "2021-01-20T15:59:05.598306Z"
     }
    },
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Calculating shap interaction values...\n"
-     ]
-    },
     {
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+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.015",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.016",
+          "None=Palsson, Master. Gosta Leonard<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.025",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=0.030",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.022",
+          "None=Saundercock, Mr. William Henry<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.030",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.018",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.018",
+          "None=Glynn, Miss. Mary Agatha<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.024",
+          "None=Meyer, Mr. Edgar Joseph<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=0.026",
+          "None=Kraeff, Mr. Theodor<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=0.026",
+          "None=Devaney, Miss. Margaret Delia<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.022",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.022",
+          "None=Rugg, Miss. Emily<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.027",
+          "None=Harris, Mr. Henry Birkhardt<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.019",
+          "None=Skoog, Master. Harald<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.022",
+          "None=Kink, Mr. Vincenz<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.015",
+          "None=Hood, Mr. Ambrose Jr<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.028",
+          "None=Ilett, Miss. Bertha<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.021",
+          "None=Ford, Mr. William Neal<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.022",
+          "None=Christmann, Mr. Emil<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=0.028",
+          "None=Andreasson, Mr. Paul Edvin<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.018",
+          "None=Chaffee, Mr. Herbert Fuller<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.018",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.023",
+          "None=White, Mr. Richard Frasar<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.019",
+          "None=Rekic, Mr. Tido<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.011",
+          "None=Moran, Miss. Bertha<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.018",
+          "None=Barton, Mr. David John<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.018",
+          "None=Jussila, Miss. Katriina<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.019",
+          "None=Pekoniemi, Mr. Edvard<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.025",
+          "None=Turpin, Mr. William John Robert<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.016",
+          "None=Moore, Mr. Leonard Charles<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=0.032",
+          "None=Osen, Mr. Olaf Elon<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=0.028",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=0.031",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.017",
+          "None=Bateman, Rev. Robert James<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.023",
+          "None=Meo, Mr. Alfonzo<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=0.032",
+          "None=Cribb, Mr. John Hatfield<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.022",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=0.032",
+          "None=Van der hoef, Mr. Wyckoff<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.022",
+          "None=Sivola, Mr. Antti Wilhelm<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.020",
+          "None=Klasen, Mr. Klas Albin<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.015",
+          "None=Rood, Mr. Hugh Roscoe<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.019",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=0.027",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.018",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.023",
+          "None=Backstrom, Mr. Karl Alfred<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.022",
+          "None=Blank, Mr. Henry<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.018",
+          "None=Ali, Mr. Ahmed<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=0.028",
+          "None=Green, Mr. George Henry<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.022",
+          "None=Nenkoff, Mr. Christo<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.009",
+          "None=Asplund, Miss. Lillian Gertrud<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=0.018",
+          "None=Harknett, Miss. Alice Phoebe<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.013",
+          "None=Hunt, Mr. George Henry<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.017",
+          "None=Reed, Mr. James George<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.019",
+          "None=Stead, Mr. William Thomas<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.017",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.019",
+          "None=Parrish, Mrs. (Lutie Davis)<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.015",
+          "None=Smith, Mr. Thomas<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.021",
+          "None=Asplund, Master. Edvin Rojj Felix<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.017",
+          "None=Healy, Miss. Hanora \"Nora\"<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=0.029",
+          "None=Andrews, Miss. Kornelia Theodosia<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.019",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.021"
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-     "end_time": "2020-10-12T08:40:18.188727Z",
-     "start_time": "2020-10-12T08:40:18.175823Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "plotlyServerURL": "https://plot.ly"
-       },
-       "data": [
         {
          "hoverinfo": "text",
-         "orientation": "h",
-         "type": "bar",
+         "marker": {
+          "opacity": 0.6,
+          "showscale": false,
+          "size": 7
+         },
+         "mode": "markers",
+         "name": "Sex_male",
+         "opacity": 0.8,
+         "showlegend": true,
+         "text": [
+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Palsson, Master. Gosta Leonard<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.013",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.012",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.014",
+          "None=Saundercock, Mr. William Henry<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.018",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.018",
+          "None=Glynn, Miss. Mary Agatha<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.017",
+          "None=Meyer, Mr. Edgar Joseph<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Kraeff, Mr. Theodor<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Devaney, Miss. Margaret Delia<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.016",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Rugg, Miss. Emily<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.013",
+          "None=Harris, Mr. Henry Birkhardt<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Skoog, Master. Harald<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Kink, Mr. Vincenz<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Hood, Mr. Ambrose Jr<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.015",
+          "None=Ilett, Miss. Bertha<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Ford, Mr. William Neal<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Christmann, Mr. Emil<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.011",
+          "None=Andreasson, Mr. Paul Edvin<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014",
+          "None=Chaffee, Mr. Herbert Fuller<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.016",
+          "None=White, Mr. Richard Frasar<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.016",
+          "None=Rekic, Mr. Tido<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Moran, Miss. Bertha<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.013",
+          "None=Barton, Mr. David John<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.013",
+          "None=Jussila, Miss. Katriina<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Pekoniemi, Mr. Edvard<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015",
+          "None=Turpin, Mr. William John Robert<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.010",
+          "None=Moore, Mr. Leonard Charles<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Osen, Mr. Olaf Elon<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014",
+          "None=Bateman, Rev. Robert James<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.013",
+          "None=Meo, Mr. Alfonzo<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.012",
+          "None=Cribb, Mr. John Hatfield<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.011",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.018",
+          "None=Van der hoef, Mr. Wyckoff<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.011",
+          "None=Sivola, Mr. Antti Wilhelm<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.009",
+          "None=Klasen, Mr. Klas Albin<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.012",
+          "None=Rood, Mr. Hugh Roscoe<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.017",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.012",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Backstrom, Mr. Karl Alfred<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015",
+          "None=Blank, Mr. Henry<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.017",
+          "None=Ali, Mr. Ahmed<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Green, Mr. George Henry<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.009",
+          "None=Nenkoff, Mr. Christo<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Asplund, Miss. Lillian Gertrud<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Harknett, Miss. Alice Phoebe<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.018",
+          "None=Hunt, Mr. George Henry<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.011",
+          "None=Reed, Mr. James George<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Stead, Mr. William Thomas<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014",
+          "None=Parrish, Mrs. (Lutie Davis)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.012",
+          "None=Smith, Mr. Thomas<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Asplund, Master. Edvin Rojj Felix<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.014",
+          "None=Healy, Miss. Hanora \"Nora\"<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.014",
+          "None=Andrews, Miss. Kornelia Theodosia<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Smith, Mr. Richard William<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014",
+          "None=Connolly, Miss. Kate<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.013",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Levy, Mr. Rene Jacques<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015",
+          "None=Lewy, Mr. Ervin G<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.010",
+          "None=Sage, Mr. George John Jr<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.014",
+          "None=Nysveen, Mr. Johan Hansen<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.012",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.016",
+          "None=Denkoff, Mr. Mitto<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.019",
+          "None=Burns, Miss. Elizabeth Margaret<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015",
+          "None=Dimic, Mr. Jovan<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.011",
+          "None=del Carlo, Mr. Sebastiano<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.011",
+          "None=Beavan, Mr. William Thomas<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.016",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.010",
+          "None=Widener, Mr. Harry Elkins<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Gustafsson, Mr. Karl Gideon<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.012",
+          "None=Plotcharsky, Mr. Vasil<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.012",
+          "None=Goodwin, Master. Sidney Leonard<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.013",
+          "None=Sadlier, Mr. Matthew<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015",
+          "None=Gustafsson, Mr. Johan Birger<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.015",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.013",
+          "None=Niskanen, Mr. Juha<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.011",
+          "None=Minahan, Miss. Daisy E<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015",
+          "None=Matthews, Mr. William John<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Charters, Mr. David<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.012",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.013",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014",
+          "None=Peuchen, Major. Arthur Godfrey<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.015",
+          "None=Anderson, Mr. Harry<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Milling, Mr. Jacob Christian<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.015",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.012",
+          "None=Karlsson, Mr. Nils August<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.018",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.017",
+          "None=Bishop, Mr. Dickinson H<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Windelov, Mr. Einar<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Shellard, Mr. Frederick William<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Svensson, Mr. Olof<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.014",
+          "None=O'Sullivan, Miss. Bridget Mary<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.011",
+          "None=Laitinen, Miss. Kristina Sofia<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.014",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.012",
+          "None=Kassem, Mr. Fared<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Cacic, Miss. Marija<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014",
+          "None=Hart, Miss. Eva Miriam<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014",
+          "None=Butt, Major. Archibald Willingham<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014",
+          "None=Beane, Mr. Edward<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.016",
+          "None=Goldsmith, Mr. Frank John<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Ohman, Miss. Velin<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.013",
+          "None=Morrow, Mr. Thomas Rowan<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Harris, Mr. George<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Patchett, Mr. George<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Ross, Mr. John Hugo<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.017",
+          "None=Murdlin, Mr. Joseph<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Bourke, Miss. Mary<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.016",
+          "None=Boulos, Mr. Hanna<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.012",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.011",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Lindell, Mr. Edvard Bengtsson<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014",
+          "None=Daniel, Mr. Robert Williams<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.011",
+          "None=Shutes, Miss. Elizabeth W<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.012",
+          "None=Jardin, Mr. Jose Neto<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014",
+          "None=Horgan, Mr. John<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.012",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.017",
+          "None=Yasbeck, Mr. Antoni<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.012",
+          "None=Bostandyeff, Mr. Guentcho<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Lundahl, Mr. Johan Svensson<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.012",
+          "None=Stahelin-Maeglin, Dr. Max<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014",
+          "None=Willey, Mr. Edward<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014"
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+         "type": "scattergl",
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-        "margin": {
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-         "l": 168,
-         "pad": 4,
-         "r": 50,
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@@ -27881,23 +21274,24 @@
          }
         },
         "title": {
-         "text": "Average interaction shap values for Fare"
+         "text": "Interaction plot for PassengerClass and Sex"
         },
         "xaxis": {
-         "automargin": true,
          "title": {
-          "text": ""
+          "text": "PassengerClass"
          }
         },
         "yaxis": {
-         "automargin": true
+         "title": {
+          "text": "SHAP value"
+         }
         }
        }
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+       "<div>                            <div id=\"3fcc8c55-d3e9-42bb-9e21-83a3c5783029\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"3fcc8c55-d3e9-42bb-9e21-83a3c5783029\")) {                    Plotly.newPlot(                        \"3fcc8c55-d3e9-42bb-9e21-83a3c5783029\",                        [{\"hoverinfo\": \"text\", \"marker\": {\"opacity\": 0.6, \"showscale\": false, \"size\": 7}, \"mode\": \"markers\", \"name\": \"Sex_female\", \"opacity\": 0.8, \"showlegend\": true, \"text\": [\"None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.015\", \"None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.016\", \"None=Palsson, Master. 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Margaret Delia<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.016\", \"None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Rugg, Miss. Emily<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.013\", \"None=Harris, Mr. Henry Birkhardt<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Skoog, Master. Harald<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Kink, Mr. Vincenz<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Hood, Mr. Ambrose Jr<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.015\", \"None=Ilett, Miss. Bertha<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Ford, Mr. William Neal<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Christmann, Mr. Emil<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.011\", \"None=Andreasson, Mr. Paul Edvin<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014\", \"None=Chaffee, Mr. Herbert Fuller<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015\", \"None=Petroff, Mr. Pastcho (\\\"Pentcho\\\")<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.016\", \"None=White, Mr. Richard Frasar<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.016\", \"None=Rekic, Mr. Tido<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Moran, Miss. Bertha<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.013\", \"None=Barton, Mr. David John<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.013\", \"None=Jussila, Miss. Katriina<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Pekoniemi, Mr. Edvard<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015\", \"None=Turpin, Mr. William John Robert<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.010\", \"None=Moore, Mr. Leonard Charles<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Osen, Mr. Olaf Elon<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015\", \"None=Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014\", \"None=Bateman, Rev. Robert James<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.013\", \"None=Meo, Mr. Alfonzo<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.012\", \"None=Cribb, Mr. John Hatfield<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.011\", \"None=Chibnall, Mrs. (Edith Martha Bowerman)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.018\", \"None=Van der hoef, Mr. Wyckoff<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.011\", \"None=Sivola, Mr. Antti Wilhelm<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.009\", \"None=Klasen, Mr. Klas Albin<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.012\", \"None=Rood, Mr. Hugh Roscoe<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.017\", \"None=Brown, Mrs. James Joseph (Margaret Tobin)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.012\", \"None=Vande Walle, Mr. Nestor Cyriel<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Backstrom, Mr. Karl Alfred<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015\", \"None=Blank, Mr. Henry<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.017\", \"None=Ali, Mr. Ahmed<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Green, Mr. George Henry<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.009\", \"None=Nenkoff, Mr. Christo<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Asplund, Miss. Lillian Gertrud<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Harknett, Miss. 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Kornelia Theodosia<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014\", \"None=Abbott, Mrs. Stanton (Rosa Hunt)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Smith, Mr. Richard William<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014\", \"None=Connolly, Miss. Kate<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.013\", \"None=Bishop, Mrs. Dickinson H (Helen Walton)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Levy, Mr. Rene Jacques<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015\", \"None=Lewy, Mr. Ervin G<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Williams, Mr. Howard Hugh \\\"Harry\\\"<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.010\", \"None=Sage, Mr. George John Jr<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.014\", \"None=Nysveen, Mr. Johan Hansen<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.012\", \"None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.016\", \"None=Denkoff, Mr. Mitto<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.019\", \"None=Burns, Miss. Elizabeth Margaret<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015\", \"None=Dimic, Mr. Jovan<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.011\", \"None=del Carlo, Mr. Sebastiano<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.011\", \"None=Beavan, Mr. William Thomas<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.016\", \"None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.010\", \"None=Widener, Mr. Harry Elkins<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Gustafsson, Mr. Karl Gideon<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.012\", \"None=Plotcharsky, Mr. Vasil<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.012\", \"None=Goodwin, Master. Sidney Leonard<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.013\", \"None=Sadlier, Mr. Matthew<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015\", \"None=Gustafsson, Mr. Johan Birger<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.015\", \"None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.013\", \"None=Niskanen, Mr. Juha<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.011\", \"None=Minahan, Miss. Daisy E<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015\", \"None=Matthews, Mr. William John<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Charters, Mr. David<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015\", \"None=Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.012\", \"None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.013\", \"None=Johannesen-Bratthammer, Mr. Bernt<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014\", \"None=Peuchen, Major. Arthur Godfrey<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.015\", \"None=Anderson, Mr. Harry<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Milling, Mr. Jacob Christian<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.015\", \"None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.012\", \"None=Karlsson, Mr. Nils August<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.018\", \"None=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.017\", \"None=Bishop, Mr. Dickinson H<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Windelov, Mr. Einar<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Shellard, Mr. Frederick William<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Svensson, Mr. Olof<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.014\", \"None=O'Sullivan, Miss. Bridget Mary<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.011\", \"None=Laitinen, Miss. Kristina Sofia<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.014\", \"None=Penasco y Castellana, Mr. Victor de Satode<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014\", \"None=Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.012\", \"None=Kassem, Mr. Fared<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Cacic, Miss. Marija<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014\", \"None=Hart, Miss. Eva Miriam<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014\", \"None=Butt, Major. Archibald Willingham<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014\", \"None=Beane, Mr. Edward<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.016\", \"None=Goldsmith, Mr. Frank John<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Ohman, Miss. Velin<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.015\", \"None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.013\", \"None=Morrow, Mr. Thomas Rowan<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Harris, Mr. George<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Patchett, Mr. George<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Ross, Mr. John Hugo<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.017\", \"None=Murdlin, Mr. Joseph<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Bourke, Miss. Mary<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.016\", \"None=Boulos, Mr. Hanna<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.012\", \"None=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.011\", \"None=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Lindell, Mr. Edvard Bengtsson<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014\", \"None=Daniel, Mr. Robert Williams<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.011\", \"None=Shutes, Miss. Elizabeth W<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.012\", \"None=Jardin, Mr. Jose Neto<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014\", \"None=Horgan, Mr. John<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.012\", \"None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.017\", \"None=Yasbeck, Mr. Antoni<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.012\", \"None=Bostandyeff, Mr. Guentcho<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Lundahl, Mr. Johan Svensson<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.012\", \"None=Stahelin-Maeglin, Dr. Max<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.014\", \"None=Willey, Mr. Edward<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=-0.014\"], \"type\": \"scattergl\", \"x\": [3, 3, 1, 3, 1, 3, 3, 2, 3, 3, 3, 1, 3, 1, 3, 3, 3, 2, 3, 3, 2, 2, 3, 3, 1, 3, 3, 1, 3, 3, 1, 3, 3, 3, 2, 3, 1, 3, 3, 1, 2, 1, 3, 3, 3, 3, 3, 2, 3, 1, 3, 3, 3, 3, 3, 3, 2, 3, 3, 1, 1, 2, 3, 2, 1, 3, 3, 3, 1, 1, 3, 1, 2, 3, 3, 2, 3, 1, 3, 3, 1, 1, 3, 1, 3, 3, 3, 3, 3, 1, 3, 2, 1, 3, 1, 1, 3, 3, 3, 3, 3, 1, 1, 1, 3, 2, 3, 3, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 1, 1, 3, 3, 2, 3, 3, 2, 2, 3, 3, 3, 3, 1, 3, 2], \"y\": [0.014726265984533856, 0.014064894109592586, -0.013380147719862056, 0.011852711776742159, -0.014307523859391446, 0.017660124925180296, 0.013540383137869573, -0.01818336287703559, 0.017277748485648066, 0.01417689903790513, 0.014064894109592586, -0.015940205508507877, 0.01364147521271854, -0.012963331728179438, 0.01431146506441924, 0.014064894109592586, 0.014064894109592586, -0.015322758324148865, 0.01364147521271854, 0.013705133345913147, -0.01132235962345457, -0.013532653014579288, 0.014646968319665981, 0.016078742227549046, -0.015503765664379183, 0.014064894109592586, 0.012762604858136212, -0.012581111481864422, 0.014095609065981209, 0.015496433647809294, -0.010335085350411286, 0.013695738784225059, 0.014852925605762228, 0.01364147521271854, -0.01405067913787044, 0.013299856027943001, -0.012066539668291904, 0.011186565125150122, 0.017837343682827723, -0.01130474131595069, -0.009170656097926258, -0.012027422316326296, 0.01364147521271854, 0.01727908650559261, 0.012468862870462382, 0.01364147521271854, 0.014644638354287512, -0.017199447004241426, 0.014064894109592586, -0.009199333781424918, 0.014070747487493353, 0.01364147521271854, 0.017878601350939244, 0.010839092562473816, 0.013523560107538444, 0.01432124190971755, -0.01443990655097634, 0.011845282791230866, 0.01364147521271854, -0.014220285196445744, -0.014000897824696542, -0.013650982885915292, 0.013723274924817046, -0.014181076082432922, -0.013450636757350396, 0.013723274924817046, 0.015170264852550183, 0.01404056339023197, -0.00971710509066603, -0.014066894414318585, 0.011511092591966619, -0.016226355156505445, -0.018831604345232414, 0.015255821057762554, 0.011186565125150122, -0.011435674498090711, 0.015564092674518082, -0.0100177538412622, 0.01364147521271854, 0.011511092591966619, -0.011625655326041946, -0.012682113486094217, 0.015161537434767969, -0.015057909932712587, 0.013299856027943001, 0.011186565125150122, 0.014603402031971885, 0.01419372206823626, 0.014508100999755316, -0.011740345005806712, 0.013299856027943001, -0.01425560805212199, -0.014718862143523073, 0.013834715922951197, -0.014873895940483894, -0.011615805531298627, 0.017684846426351077, 0.017101354528880196, 0.014020529653934365, 0.014300547334952455, 0.01419996168787939, -0.013635255697216749, -0.011142064842442002, -0.014278856387803438, 0.014095609065981209, -0.013500109921448046, 0.01167300460951887, 0.014182188485627505, -0.01405067913787044, -0.01425560805212199, -0.01425560805212199, 0.01567121850586293, 0.01364147521271854, 0.014836480400065752, 0.012944119399632907, 0.01417689903790513, 0.013710986723813916, 0.013602393911702442, 0.013959273418308049, 0.0165791916906392, 0.013798116722544267, -0.01566747643414427, -0.01189393422733499, 0.010748923549827698, 0.01415737905342072, -0.013717932423115203, 0.014154731096751326, 0.011186565125150122, -0.012071421075238384, -0.014348289108469643, 0.012379577906613048, 0.01727908650559261, 0.011511092591966619, 0.014284330355963427, -0.012488420514215892, 0.013983604137668665, -0.014447759760950977]}],                        {\"hovermode\": \"closest\", \"paper_bgcolor\": \"#fff\", \"plot_bgcolor\": \"#fff\", \"showlegend\": true, \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Interaction plot for PassengerClass and Sex\"}, \"xaxis\": {\"title\": {\"text\": \"PassengerClass\"}}, \"yaxis\": {\"title\": {\"text\": \"SHAP value\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('07e75db2-cdf8-4aff-8901-137f76346515');\n",
+       "var gd = document.getElementById('3fcc8c55-d3e9-42bb-9e21-83a3c5783029');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -27927,23 +21321,16 @@
     }
    ],
    "source": [
-    "explainer.plot_interactions_importance('Fare', cats=False, topx=5)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Detailed shap interactions summary:"
+    "explainer.plot_interaction(\"PassengerClass\", \"Sex\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 26,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:40:21.343704Z",
-     "start_time": "2020-10-12T08:40:21.178743Z"
+     "end_time": "2021-01-20T15:59:09.094694Z",
+     "start_time": "2021-01-20T15:59:09.073095Z"
     }
    },
    "outputs": [
@@ -27954,857 +21341,214 @@
         "plotlyServerURL": "https://plot.ly"
        },
        "data": [
-        {
-         "hoverinfo": "text",
-         "marker": {
-          "opacity": 0.3,
-          "showscale": false,
-          "size": 5
-         },
-         "mode": "markers",
-         "name": "female",
-         "opacity": 0.8,
-         "showlegend": false,
-         "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Sex=female<br>shap=0.27",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Sex=female<br>shap=0.269",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Sex=female<br>shap=0.274",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Sex=female<br>shap=0.277",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Sex=female<br>shap=0.275",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Sex=female<br>shap=0.276",
-          "index=Glynn, Miss. Mary Agatha<br>Sex=female<br>shap=0.26",
-          "index=Devaney, Miss. Margaret Delia<br>Sex=female<br>shap=0.271",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Sex=female<br>shap=0.268",
-          "index=Rugg, Miss. Emily<br>Sex=female<br>shap=0.279",
-          "index=Ilett, Miss. Bertha<br>Sex=female<br>shap=0.279",
-          "index=Moran, Miss. Bertha<br>Sex=female<br>shap=0.276",
-          "index=Jussila, Miss. Katriina<br>Sex=female<br>shap=0.275",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Sex=female<br>shap=0.281",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Sex=female<br>shap=0.273",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Sex=female<br>shap=0.275",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Sex=female<br>shap=0.266",
-          "index=Asplund, Miss. Lillian Gertrud<br>Sex=female<br>shap=0.269",
-          "index=Harknett, Miss. Alice Phoebe<br>Sex=female<br>shap=0.27",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Sex=female<br>shap=0.271",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Sex=female<br>shap=0.261",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Sex=female<br>shap=0.26",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Sex=female<br>shap=0.274",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Sex=female<br>shap=0.272",
-          "index=Connolly, Miss. Kate<br>Sex=female<br>shap=0.273",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Sex=female<br>shap=0.275",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Sex=female<br>shap=0.271",
-          "index=Burns, Miss. Elizabeth Margaret<br>Sex=female<br>shap=0.271",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Sex=female<br>shap=0.275",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Sex=female<br>shap=0.279",
-          "index=Minahan, Miss. Daisy E<br>Sex=female<br>shap=0.272",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Sex=female<br>shap=0.269",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Sex=female<br>shap=0.26",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Sex=female<br>shap=0.257",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Sex=female<br>shap=0.259",
-          "index=Laitinen, Miss. Kristina Sofia<br>Sex=female<br>shap=0.275",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Sex=female<br>shap=0.262",
-          "index=Cacic, Miss. Marija<br>Sex=female<br>shap=0.276",
-          "index=Hart, Miss. Eva Miriam<br>Sex=female<br>shap=0.271",
-          "index=Ohman, Miss. Velin<br>Sex=female<br>shap=0.276",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Sex=female<br>shap=0.257",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Sex=female<br>shap=0.268",
-          "index=Bourke, Miss. Mary<br>Sex=female<br>shap=0.284",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Sex=female<br>shap=0.264",
-          "index=Shutes, Miss. Elizabeth W<br>Sex=female<br>shap=0.266",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Sex=female<br>shap=0.268",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Sex=female<br>shap=0.275",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Sex=female<br>shap=0.267",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Sex=female<br>shap=0.26",
-          "index=Turja, Miss. Anna Sofia<br>Sex=female<br>shap=0.277",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Sex=female<br>shap=0.276",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Sex=female<br>shap=0.296",
-          "index=Allen, Miss. Elisabeth Walton<br>Sex=female<br>shap=0.271",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Sex=female<br>shap=0.269",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Sex=female<br>shap=0.275",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Sex=female<br>shap=0.264",
-          "index=Ayoub, Miss. Banoura<br>Sex=female<br>shap=0.269",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Sex=female<br>shap=0.273",
-          "index=Sjoblom, Miss. Anna Sofia<br>Sex=female<br>shap=0.275",
-          "index=Leader, Dr. Alice (Farnham)<br>Sex=female<br>shap=0.275",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Sex=female<br>shap=0.261",
-          "index=Boulos, Miss. Nourelain<br>Sex=female<br>shap=0.283",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Sex=female<br>shap=0.275"
-         ],
-         "type": "scatter",
-         "x": [
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+          "None=Bateman, Rev. Robert James<br>Fare=12.525<br>Age=51.0<br>SHAP=-0.001",
+          "None=Meo, Mr. Alfonzo<br>Fare=8.05<br>Age=55.5<br>SHAP=0.002",
+          "None=Cribb, Mr. John Hatfield<br>Fare=16.1<br>Age=44.0<br>SHAP=-0.003",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Fare=55.0<br>Age=-999.0<br>SHAP=0.001",
+          "None=Van der hoef, Mr. Wyckoff<br>Fare=33.5<br>Age=61.0<br>SHAP=-0.005",
+          "None=Sivola, Mr. Antti Wilhelm<br>Fare=7.925<br>Age=21.0<br>SHAP=-0.001",
+          "None=Klasen, Mr. Klas Albin<br>Fare=7.8542<br>Age=18.0<br>SHAP=-0.004",
+          "None=Rood, Mr. Hugh Roscoe<br>Fare=50.0<br>Age=-999.0<br>SHAP=0.004",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Fare=7.8542<br>Age=19.0<br>SHAP=-0.001",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Fare=27.7208<br>Age=44.0<br>SHAP=-0.003",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Fare=9.5<br>Age=28.0<br>SHAP=0.000",
+          "None=Backstrom, Mr. Karl Alfred<br>Fare=15.85<br>Age=32.0<br>SHAP=-0.003",
+          "None=Blank, Mr. Henry<br>Fare=31.0<br>Age=40.0<br>SHAP=0.000",
+          "None=Ali, Mr. Ahmed<br>Fare=7.05<br>Age=24.0<br>SHAP=-0.001",
+          "None=Green, Mr. George Henry<br>Fare=8.05<br>Age=51.0<br>SHAP=0.002",
+          "None=Nenkoff, Mr. Christo<br>Fare=7.8958<br>Age=-999.0<br>SHAP=-0.004",
+          "None=Asplund, Miss. Lillian Gertrud<br>Fare=31.3875<br>Age=5.0<br>SHAP=-0.000",
+          "None=Harknett, Miss. Alice Phoebe<br>Fare=7.55<br>Age=-999.0<br>SHAP=-0.001",
+          "None=Hunt, Mr. George Henry<br>Fare=12.275<br>Age=33.0<br>SHAP=-0.002",
+          "None=Reed, Mr. James George<br>Fare=7.25<br>Age=-999.0<br>SHAP=-0.004",
+          "None=Stead, Mr. William Thomas<br>Fare=26.55<br>Age=62.0<br>SHAP=-0.002",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Fare=79.2<br>Age=-999.0<br>SHAP=-0.002",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Fare=26.0<br>Age=50.0<br>SHAP=0.001",
+          "None=Smith, Mr. Thomas<br>Fare=7.75<br>Age=-999.0<br>SHAP=-0.002",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Fare=31.3875<br>Age=3.0<br>SHAP=-0.001",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Fare=7.75<br>Age=-999.0<br>SHAP=-0.000",
+          "None=Andrews, Miss. Kornelia Theodosia<br>Fare=77.9583<br>Age=63.0<br>SHAP=-0.001",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Fare=20.25<br>Age=35.0<br>SHAP=0.001",
+          "None=Smith, Mr. Richard William<br>Fare=26.0<br>Age=-999.0<br>SHAP=0.003",
+          "None=Connolly, Miss. Kate<br>Fare=7.75<br>Age=22.0<br>SHAP=-0.001",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Fare=91.0792<br>Age=19.0<br>SHAP=-0.000",
+          "None=Levy, Mr. Rene Jacques<br>Fare=12.875<br>Age=36.0<br>SHAP=-0.003",
+          "None=Lewy, Mr. Ervin G<br>Fare=27.7208<br>Age=-999.0<br>SHAP=0.004",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Fare=8.05<br>Age=-999.0<br>SHAP=-0.004",
+          "None=Sage, Mr. George John Jr<br>Fare=69.55<br>Age=-999.0<br>SHAP=0.000",
+          "None=Nysveen, Mr. Johan Hansen<br>Fare=6.2375<br>Age=61.0<br>SHAP=0.004",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Fare=133.65<br>Age=-999.0<br>SHAP=0.002",
+          "None=Denkoff, Mr. Mitto<br>Fare=7.8958<br>Age=-999.0<br>SHAP=-0.004",
+          "None=Burns, Miss. Elizabeth Margaret<br>Fare=134.5<br>Age=41.0<br>SHAP=0.007",
+          "None=Dimic, Mr. Jovan<br>Fare=8.6625<br>Age=42.0<br>SHAP=0.000",
+          "None=del Carlo, Mr. Sebastiano<br>Fare=27.7208<br>Age=29.0<br>SHAP=-0.001",
+          "None=Beavan, Mr. William Thomas<br>Fare=8.05<br>Age=19.0<br>SHAP=0.000",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Fare=82.1708<br>Age=-999.0<br>SHAP=-0.002",
+          "None=Widener, Mr. Harry Elkins<br>Fare=211.5<br>Age=27.0<br>SHAP=0.002",
+          "None=Gustafsson, Mr. Karl Gideon<br>Fare=7.775<br>Age=19.0<br>SHAP=0.000",
+          "None=Plotcharsky, Mr. Vasil<br>Fare=7.8958<br>Age=-999.0<br>SHAP=-0.004",
+          "None=Goodwin, Master. Sidney Leonard<br>Fare=46.9<br>Age=1.0<br>SHAP=-0.001",
+          "None=Sadlier, Mr. Matthew<br>Fare=7.7292<br>Age=-999.0<br>SHAP=-0.002",
+          "None=Gustafsson, Mr. Johan Birger<br>Fare=7.925<br>Age=28.0<br>SHAP=-0.000",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Fare=16.7<br>Age=24.0<br>SHAP=-0.003",
+          "None=Niskanen, Mr. Juha<br>Fare=7.925<br>Age=39.0<br>SHAP=0.006",
+          "None=Minahan, Miss. Daisy E<br>Fare=90.0<br>Age=33.0<br>SHAP=0.001",
+          "None=Matthews, Mr. William John<br>Fare=13.0<br>Age=30.0<br>SHAP=-0.002",
+          "None=Charters, Mr. David<br>Fare=7.7333<br>Age=21.0<br>SHAP=-0.000",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Fare=26.0<br>Age=19.0<br>SHAP=-0.000",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Fare=26.25<br>Age=45.0<br>SHAP=-0.000",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Fare=8.1125<br>Age=-999.0<br>SHAP=-0.004",
+          "None=Peuchen, Major. Arthur Godfrey<br>Fare=30.5<br>Age=52.0<br>SHAP=0.001",
+          "None=Anderson, Mr. Harry<br>Fare=26.55<br>Age=48.0<br>SHAP=0.001",
+          "None=Milling, Mr. Jacob Christian<br>Fare=13.0<br>Age=48.0<br>SHAP=-0.002",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Fare=27.75<br>Age=33.0<br>SHAP=0.001",
+          "None=Karlsson, Mr. Nils August<br>Fare=7.5208<br>Age=22.0<br>SHAP=-0.000",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Fare=0.0<br>Age=-999.0<br>SHAP=-0.005",
+          "None=Bishop, Mr. Dickinson H<br>Fare=91.0792<br>Age=25.0<br>SHAP=-0.000",
+          "None=Windelov, Mr. Einar<br>Fare=7.25<br>Age=21.0<br>SHAP=-0.000",
+          "None=Shellard, Mr. Frederick William<br>Fare=15.1<br>Age=-999.0<br>SHAP=0.003",
+          "None=Svensson, Mr. Olof<br>Fare=7.7958<br>Age=24.0<br>SHAP=-0.001",
+          "None=O'Sullivan, Miss. Bridget Mary<br>Fare=7.6292<br>Age=-999.0<br>SHAP=-0.000",
+          "None=Laitinen, Miss. Kristina Sofia<br>Fare=9.5875<br>Age=37.0<br>SHAP=0.000",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>Fare=108.9<br>Age=18.0<br>SHAP=0.007",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Fare=26.55<br>Age=-999.0<br>SHAP=0.004",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Fare=26.0<br>Age=36.0<br>SHAP=0.002",
+          "None=Kassem, Mr. Fared<br>Fare=7.2292<br>Age=-999.0<br>SHAP=-0.002",
+          "None=Cacic, Miss. Marija<br>Fare=8.6625<br>Age=30.0<br>SHAP=-0.001",
+          "None=Hart, Miss. Eva Miriam<br>Fare=26.25<br>Age=7.0<br>SHAP=0.002",
+          "None=Butt, Major. Archibald Willingham<br>Fare=26.55<br>Age=45.0<br>SHAP=-0.000",
+          "None=Beane, Mr. Edward<br>Fare=26.0<br>Age=32.0<br>SHAP=0.000",
+          "None=Goldsmith, Mr. Frank John<br>Fare=20.525<br>Age=33.0<br>SHAP=-0.001",
+          "None=Ohman, Miss. Velin<br>Fare=7.775<br>Age=22.0<br>SHAP=-0.001",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Fare=79.65<br>Age=39.0<br>SHAP=0.004",
+          "None=Morrow, Mr. Thomas Rowan<br>Fare=7.75<br>Age=-999.0<br>SHAP=-0.002",
+          "None=Harris, Mr. George<br>Fare=10.5<br>Age=62.0<br>SHAP=0.003",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Fare=51.4792<br>Age=53.0<br>SHAP=0.004",
+          "None=Patchett, Mr. George<br>Fare=14.5<br>Age=19.0<br>SHAP=-0.002",
+          "None=Ross, Mr. John Hugo<br>Fare=40.125<br>Age=36.0<br>SHAP=0.003",
+          "None=Murdlin, Mr. Joseph<br>Fare=8.05<br>Age=-999.0<br>SHAP=-0.004",
+          "None=Bourke, Miss. Mary<br>Fare=7.75<br>Age=-999.0<br>SHAP=0.001",
+          "None=Boulos, Mr. Hanna<br>Fare=7.225<br>Age=-999.0<br>SHAP=-0.002",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Fare=56.9292<br>Age=49.0<br>SHAP=0.005",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>Fare=26.55<br>Age=35.0<br>SHAP=0.003",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Fare=15.55<br>Age=36.0<br>SHAP=-0.002",
+          "None=Daniel, Mr. Robert Williams<br>Fare=30.5<br>Age=27.0<br>SHAP=-0.000",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Fare=41.5792<br>Age=22.0<br>SHAP=0.000",
+          "None=Shutes, Miss. Elizabeth W<br>Fare=153.4625<br>Age=40.0<br>SHAP=0.001",
+          "None=Jardin, Mr. Jose Neto<br>Fare=7.05<br>Age=-999.0<br>SHAP=-0.004",
+          "None=Horgan, Mr. John<br>Fare=7.75<br>Age=-999.0<br>SHAP=-0.002",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Fare=16.1<br>Age=26.0<br>SHAP=-0.002",
+          "None=Yasbeck, Mr. Antoni<br>Fare=14.4542<br>Age=27.0<br>SHAP=-0.002",
+          "None=Bostandyeff, Mr. Guentcho<br>Fare=7.8958<br>Age=26.0<br>SHAP=0.000",
+          "None=Lundahl, Mr. Johan Svensson<br>Fare=7.0542<br>Age=51.0<br>SHAP=-0.001",
+          "None=Stahelin-Maeglin, Dr. Max<br>Fare=30.5<br>Age=32.0<br>SHAP=0.001",
+          "None=Willey, Mr. Edward<br>Fare=7.55<br>Age=-999.0<br>SHAP=-0.004",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>Fare=7.55<br>Age=23.0<br>SHAP=-0.001",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>Fare=6.75<br>Age=18.0<br>SHAP=-0.000",
+          "None=Eitemiller, Mr. George Floyd<br>Fare=13.0<br>Age=23.0<br>SHAP=-0.002",
+          "None=Colley, Mr. Edward Pomeroy<br>Fare=25.5875<br>Age=47.0<br>SHAP=-0.003",
+          "None=Coleff, Mr. Peju<br>Fare=7.4958<br>Age=36.0<br>SHAP=-0.002",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Fare=39.0<br>Age=40.0<br>SHAP=0.002",
+          "None=Davidson, Mr. Thornton<br>Fare=52.0<br>Age=31.0<br>SHAP=-0.001",
+          "None=Turja, Miss. Anna Sofia<br>Fare=9.8417<br>Age=18.0<br>SHAP=-0.002",
+          "None=Hassab, Mr. Hammad<br>Fare=76.7292<br>Age=27.0<br>SHAP=-0.005",
+          "None=Goodwin, Mr. Charles Edward<br>Fare=46.9<br>Age=14.0<br>SHAP=0.001",
+          "None=Panula, Mr. Jaako Arnold<br>Fare=39.6875<br>Age=14.0<br>SHAP=-0.000",
+          "None=Fischer, Mr. Eberhard Thelander<br>Fare=7.7958<br>Age=18.0<br>SHAP=0.000",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Fare=7.65<br>Age=42.0<br>SHAP=0.002",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Fare=227.525<br>Age=18.0<br>SHAP=0.002",
+          "None=Hansen, Mr. Henrik Juul<br>Fare=7.8542<br>Age=26.0<br>SHAP=0.000",
+          "None=Calderhead, Mr. Edward Pennington<br>Fare=26.2875<br>Age=42.0<br>SHAP=-0.002",
+          "None=Klaber, Mr. Herman<br>Fare=26.55<br>Age=-999.0<br>SHAP=0.005",
+          "None=Taylor, Mr. Elmer Zebley<br>Fare=52.0<br>Age=48.0<br>SHAP=-0.001",
+          "None=Larsson, Mr. August Viktor<br>Fare=9.4833<br>Age=29.0<br>SHAP=-0.000",
+          "None=Greenberg, Mr. Samuel<br>Fare=13.0<br>Age=52.0<br>SHAP=-0.002",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>Fare=10.5<br>Age=27.0<br>SHAP=-0.001",
+          "None=McEvoy, Mr. Michael<br>Fare=15.5<br>Age=-999.0<br>SHAP=0.002",
+          "None=Johnson, Mr. Malkolm Joackim<br>Fare=7.775<br>Age=33.0<br>SHAP=-0.001",
+          "None=Gillespie, Mr. William Henry<br>Fare=13.0<br>Age=34.0<br>SHAP=-0.002",
+          "None=Allen, Miss. Elisabeth Walton<br>Fare=211.3375<br>Age=29.0<br>SHAP=-0.000",
+          "None=Berriman, Mr. William John<br>Fare=13.0<br>Age=23.0<br>SHAP=-0.002",
+          "None=Troupiansky, Mr. Moses Aaron<br>Fare=13.0<br>Age=23.0<br>SHAP=-0.002",
+          "None=Williams, Mr. Leslie<br>Fare=16.1<br>Age=28.5<br>SHAP=-0.003",
+          "None=Ivanoff, Mr. Kanio<br>Fare=7.8958<br>Age=-999.0<br>SHAP=-0.004",
+          "None=McNamee, Mr. Neal<br>Fare=16.1<br>Age=24.0<br>SHAP=-0.004",
+          "None=Connaghton, Mr. Michael<br>Fare=7.75<br>Age=31.0<br>SHAP=-0.001",
+          "None=Carlsson, Mr. August Sigfrid<br>Fare=7.7958<br>Age=28.0<br>SHAP=0.000",
+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Fare=86.5<br>Age=33.0<br>SHAP=0.001",
+          "None=Eklund, Mr. Hans Linus<br>Fare=7.775<br>Age=16.0<br>SHAP=-0.000",
+          "None=Hogeboom, Mrs. John C (Anna Andrews)<br>Fare=77.9583<br>Age=51.0<br>SHAP=0.004",
+          "None=Moran, Mr. Daniel J<br>Fare=24.15<br>Age=-999.0<br>SHAP=-0.000",
+          "None=Lievens, Mr. Rene Aime<br>Fare=9.5<br>Age=24.0<br>SHAP=-0.001",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Fare=211.3375<br>Age=43.0<br>SHAP=0.005",
+          "None=Ayoub, Miss. Banoura<br>Fare=7.2292<br>Age=13.0<br>SHAP=0.001",
+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Fare=57.0<br>Age=17.0<br>SHAP=0.002",
+          "None=Johnston, Mr. Andrew G<br>Fare=23.45<br>Age=-999.0<br>SHAP=0.004",
+          "None=Ali, Mr. William<br>Fare=7.05<br>Age=25.0<br>SHAP=0.000",
+          "None=Sjoblom, Miss. Anna Sofia<br>Fare=7.4958<br>Age=18.0<br>SHAP=-0.001",
+          "None=Guggenheim, Mr. Benjamin<br>Fare=79.2<br>Age=46.0<br>SHAP=0.010",
+          "None=Leader, Dr. Alice (Farnham)<br>Fare=25.9292<br>Age=49.0<br>SHAP=0.000",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Fare=26.25<br>Age=31.0<br>SHAP=0.001",
+          "None=Carter, Master. William Thornton II<br>Fare=120.0<br>Age=11.0<br>SHAP=0.006",
+          "None=Thomas, Master. Assad Alexander<br>Fare=8.5167<br>Age=0.42<br>SHAP=-0.001",
+          "None=Johansson, Mr. Karl Johan<br>Fare=7.775<br>Age=31.0<br>SHAP=0.000",
+          "None=Slemen, Mr. Richard James<br>Fare=10.5<br>Age=35.0<br>SHAP=-0.002",
+          "None=Tomlin, Mr. Ernest Portage<br>Fare=8.05<br>Age=30.5<br>SHAP=0.000",
+          "None=McCormack, Mr. Thomas Joseph<br>Fare=7.75<br>Age=-999.0<br>SHAP=-0.002",
+          "None=Richards, Master. George Sibley<br>Fare=18.75<br>Age=0.83<br>SHAP=0.004",
+          "None=Mudd, Mr. Thomas Charles<br>Fare=10.5<br>Age=16.0<br>SHAP=-0.002",
+          "None=Lemberopolous, Mr. Peter L<br>Fare=6.4375<br>Age=34.5<br>SHAP=-0.002",
+          "None=Sage, Mr. Douglas Bullen<br>Fare=69.55<br>Age=-999.0<br>SHAP=0.000",
+          "None=Boulos, Miss. Nourelain<br>Fare=15.2458<br>Age=9.0<br>SHAP=0.003",
+          "None=Aks, Mrs. Sam (Leah Rosen)<br>Fare=9.35<br>Age=18.0<br>SHAP=-0.002",
+          "None=Razi, Mr. Raihed<br>Fare=7.2292<br>Age=-999.0<br>SHAP=-0.002",
+          "None=Johnson, Master. Harold Theodor<br>Fare=11.1333<br>Age=4.0<br>SHAP=0.003",
+          "None=Carlsson, Mr. Frans Olof<br>Fare=5.0<br>Age=33.0<br>SHAP=-0.002",
+          "None=Gustafsson, Mr. Alfred Ossian<br>Fare=9.8458<br>Age=20.0<br>SHAP=-0.001",
+          "None=Montvila, Rev. Juozas<br>Fare=13.0<br>Age=27.0<br>SHAP=-0.002"
+         ],
+         "type": "scattergl",
          "x": [
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-         "xaxis": "x3",
-         "y": [
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-         "yaxis": "y3"
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-        {
-         "hoverinfo": "text",
-         "marker": {
-          "opacity": 0.3,
-          "showscale": false,
-          "size": 5
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-         "mode": "markers",
-         "name": "Cherbourg",
-         "opacity": 0.8,
-         "showlegend": false,
-         "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Embarked=Cherbourg<br>shap=-0.012",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Embarked=Cherbourg<br>shap=-0.015",
-          "index=Meyer, Mr. Edgar Joseph<br>Embarked=Cherbourg<br>shap=-0.0",
-          "index=Kraeff, Mr. Theodor<br>Embarked=Cherbourg<br>shap=-0.004",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Embarked=Cherbourg<br>shap=-0.002",
-          "index=Blank, Mr. Henry<br>Embarked=Cherbourg<br>shap=-0.002",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Embarked=Cherbourg<br>shap=-0.003",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Embarked=Cherbourg<br>shap=-0.009",
-          "index=Levy, Mr. Rene Jacques<br>Embarked=Cherbourg<br>shap=-0.0",
-          "index=Lewy, Mr. Ervin G<br>Embarked=Cherbourg<br>shap=-0.004",
-          "index=Burns, Miss. Elizabeth Margaret<br>Embarked=Cherbourg<br>shap=-0.003",
-          "index=del Carlo, Mr. Sebastiano<br>Embarked=Cherbourg<br>shap=0.003",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Embarked=Cherbourg<br>shap=-0.007",
-          "index=Widener, Mr. Harry Elkins<br>Embarked=Cherbourg<br>shap=0.004",
-          "index=Bishop, Mr. Dickinson H<br>Embarked=Cherbourg<br>shap=-0.001",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Embarked=Cherbourg<br>shap=0.005",
-          "index=Kassem, Mr. Fared<br>Embarked=Cherbourg<br>shap=-0.002",
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-          "index=Sage, Mr. George John Jr<br>Embarked=Southampton<br>shap=0.005",
-          "index=Nysveen, Mr. Johan Hansen<br>Embarked=Southampton<br>shap=0.006",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Embarked=Southampton<br>shap=-0.002",
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-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Embarked=Southampton<br>shap=-0.001",
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-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Embarked=Southampton<br>shap=0.007",
-          "index=Peuchen, Major. Arthur Godfrey<br>Embarked=Southampton<br>shap=0.001",
-          "index=Anderson, Mr. Harry<br>Embarked=Southampton<br>shap=0.004",
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-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Embarked=Southampton<br>shap=0.002",
-          "index=Karlsson, Mr. Nils August<br>Embarked=Southampton<br>shap=0.006",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Embarked=Southampton<br>shap=0.006",
-          "index=Windelov, Mr. Einar<br>Embarked=Southampton<br>shap=0.006",
-          "index=Shellard, Mr. Frederick William<br>Embarked=Southampton<br>shap=0.005",
-          "index=Svensson, Mr. Olof<br>Embarked=Southampton<br>shap=0.007",
-          "index=Laitinen, Miss. Kristina Sofia<br>Embarked=Southampton<br>shap=-0.007",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Embarked=Southampton<br>shap=0.004",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Embarked=Southampton<br>shap=0.002",
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-          "opacity": 0.3,
-          "showscale": false,
-          "size": 5
-         },
-         "mode": "markers",
-         "name": "Queenstown",
-         "opacity": 0.8,
-         "showlegend": false,
-         "text": [
-          "index=Glynn, Miss. Mary Agatha<br>Embarked=Queenstown<br>shap=0.029",
-          "index=Devaney, Miss. Margaret Delia<br>Embarked=Queenstown<br>shap=0.023",
-          "index=Moran, Miss. Bertha<br>Embarked=Queenstown<br>shap=0.016",
-          "index=Smith, Mr. Thomas<br>Embarked=Queenstown<br>shap=-0.025",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Embarked=Queenstown<br>shap=0.029",
-          "index=Connolly, Miss. Kate<br>Embarked=Queenstown<br>shap=0.021",
-          "index=Sadlier, Mr. Matthew<br>Embarked=Queenstown<br>shap=-0.025",
-          "index=Minahan, Miss. Daisy E<br>Embarked=Queenstown<br>shap=0.007",
-          "index=Charters, Mr. David<br>Embarked=Queenstown<br>shap=-0.022",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Embarked=Queenstown<br>shap=0.029",
-          "index=Morrow, Mr. Thomas Rowan<br>Embarked=Queenstown<br>shap=-0.025",
-          "index=Bourke, Miss. Mary<br>Embarked=Queenstown<br>shap=0.019",
-          "index=Horgan, Mr. John<br>Embarked=Queenstown<br>shap=-0.025",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Embarked=Queenstown<br>shap=0.026",
-          "index=McEvoy, Mr. Michael<br>Embarked=Queenstown<br>shap=-0.024",
-          "index=Connaghton, Mr. Michael<br>Embarked=Queenstown<br>shap=-0.019",
-          "index=Moran, Mr. Daniel J<br>Embarked=Queenstown<br>shap=-0.016",
-          "index=McCormack, Mr. Thomas Joseph<br>Embarked=Queenstown<br>shap=-0.025"
-         ],
-         "type": "scatter",
-         "x": [
-          0.0288506180545672,
-          0.02303242101480188,
-          0.015550205868795259,
-          -0.025169605700644682,
-          0.0288506180545672,
-          0.02133648762549843,
-          -0.025283184251723236,
-          0.00719054350476813,
-          -0.021604832673486365,
-          0.028941067380359467,
-          -0.025169605700644682,
-          0.01925226991732488,
-          -0.025169605700644682,
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-          -0.018501937748669723,
-          -0.01578701191428474,
-          -0.025169605700644682
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-         "xaxis": "x4",
-         "y": [
-          0.7220369152648758,
-          0.04052583424501588,
-          0.805693018520532,
-          0.10075241189928719,
-          0.564204980304904,
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-          0.3093455769604532,
-          0.36986284879008957,
-          0.5918659322769207
-         ],
-         "yaxis": "y4"
+        "title": {
+         "text": "Interaction plot for Fare and Age"
+        },
+        "xaxis": {
+         "title": {
+          "text": "Fare"
+         }
         },
+        "yaxis": {
+         "title": {
+          "text": "SHAP value"
+         }
+        }
+       }
+      },
+      "text/html": [
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Gosta Leonard<br>Fare=21.075<br>Age=2.0<br>SHAP=0.003\", \"None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Fare=11.1333<br>Age=27.0<br>SHAP=-0.001\", \"None=Nasser, Mrs. Nicholas (Adele Achem)<br>Fare=30.0708<br>Age=14.0<br>SHAP=0.001\", \"None=Saundercock, Mr. William Henry<br>Fare=8.05<br>Age=20.0<br>SHAP=0.000\", \"None=Vestrom, Miss. Hulda Amanda Adolfina<br>Fare=7.8542<br>Age=14.0<br>SHAP=0.001\", \"None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Fare=31.3875<br>Age=38.0<br>SHAP=0.002\", \"None=Glynn, Miss. Mary Agatha<br>Fare=7.75<br>Age=-999.0<br>SHAP=-0.000\", \"None=Meyer, Mr. Edgar Joseph<br>Fare=82.1708<br>Age=28.0<br>SHAP=-0.004\", \"None=Kraeff, Mr. Theodor<br>Fare=7.8958<br>Age=-999.0<br>SHAP=-0.002\", \"None=Devaney, Miss. Margaret Delia<br>Fare=7.8792<br>Age=19.0<br>SHAP=-0.000\", \"None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Fare=17.8<br>Age=18.0<br>SHAP=-0.002\", \"None=Rugg, Miss. Emily<br>Fare=10.5<br>Age=21.0<br>SHAP=-0.001\", \"None=Harris, Mr. Henry Birkhardt<br>Fare=83.475<br>Age=45.0<br>SHAP=0.001\", \"None=Skoog, Master. Harald<br>Fare=27.9<br>Age=4.0<br>SHAP=0.001\", \"None=Kink, Mr. Vincenz<br>Fare=8.6625<br>Age=26.0<br>SHAP=0.000\", \"None=Hood, Mr. Ambrose Jr<br>Fare=73.5<br>Age=21.0<br>SHAP=0.000\", \"None=Ilett, Miss. Bertha<br>Fare=10.5<br>Age=17.0<br>SHAP=-0.001\", \"None=Ford, Mr. William Neal<br>Fare=34.375<br>Age=16.0<br>SHAP=-0.000\", \"None=Christmann, Mr. Emil<br>Fare=8.05<br>Age=29.0<br>SHAP=0.000\", \"None=Andreasson, Mr. Paul Edvin<br>Fare=7.8542<br>Age=20.0<br>SHAP=0.000\", \"None=Chaffee, Mr. Herbert Fuller<br>Fare=61.175<br>Age=46.0<br>SHAP=0.003\", \"None=Petroff, Mr. Pastcho (\\\"Pentcho\\\")<br>Fare=7.8958<br>Age=-999.0<br>SHAP=-0.004\", \"None=White, Mr. Richard Frasar<br>Fare=77.2875<br>Age=21.0<br>SHAP=0.001\", \"None=Rekic, Mr. Tido<br>Fare=7.8958<br>Age=38.0<br>SHAP=-0.001\", \"None=Moran, Miss. Bertha<br>Fare=24.15<br>Age=-999.0<br>SHAP=0.000\", \"None=Barton, Mr. David John<br>Fare=8.05<br>Age=22.0<br>SHAP=-0.001\", \"None=Jussila, Miss. Katriina<br>Fare=9.825<br>Age=20.0<br>SHAP=-0.002\", \"None=Pekoniemi, Mr. Edvard<br>Fare=7.925<br>Age=21.0<br>SHAP=-0.001\", \"None=Turpin, Mr. William John Robert<br>Fare=21.0<br>Age=29.0<br>SHAP=-0.003\", \"None=Moore, Mr. Leonard Charles<br>Fare=8.05<br>Age=-999.0<br>SHAP=-0.004\", \"None=Osen, Mr. Olaf Elon<br>Fare=9.2167<br>Age=16.0<br>SHAP=-0.000\", \"None=Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Fare=34.375<br>Age=9.0<br>SHAP=-0.001\", \"None=Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Fare=26.0<br>Age=36.5<br>SHAP=-0.000\", \"None=Bateman, Rev. Robert James<br>Fare=12.525<br>Age=51.0<br>SHAP=-0.001\", \"None=Meo, Mr. Alfonzo<br>Fare=8.05<br>Age=55.5<br>SHAP=0.002\", \"None=Cribb, Mr. John Hatfield<br>Fare=16.1<br>Age=44.0<br>SHAP=-0.003\", \"None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Fare=55.0<br>Age=-999.0<br>SHAP=0.001\", \"None=Van der hoef, Mr. Wyckoff<br>Fare=33.5<br>Age=61.0<br>SHAP=-0.005\", \"None=Sivola, Mr. Antti Wilhelm<br>Fare=7.925<br>Age=21.0<br>SHAP=-0.001\", \"None=Klasen, Mr. Klas Albin<br>Fare=7.8542<br>Age=18.0<br>SHAP=-0.004\", \"None=Rood, Mr. Hugh Roscoe<br>Fare=50.0<br>Age=-999.0<br>SHAP=0.004\", \"None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Fare=7.8542<br>Age=19.0<br>SHAP=-0.001\", \"None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Fare=27.7208<br>Age=44.0<br>SHAP=-0.003\", \"None=Vande Walle, Mr. Nestor Cyriel<br>Fare=9.5<br>Age=28.0<br>SHAP=0.000\", \"None=Backstrom, Mr. Karl Alfred<br>Fare=15.85<br>Age=32.0<br>SHAP=-0.003\", \"None=Blank, Mr. Henry<br>Fare=31.0<br>Age=40.0<br>SHAP=0.000\", \"None=Ali, Mr. Ahmed<br>Fare=7.05<br>Age=24.0<br>SHAP=-0.001\", \"None=Green, Mr. George Henry<br>Fare=8.05<br>Age=51.0<br>SHAP=0.002\", \"None=Nenkoff, Mr. Christo<br>Fare=7.8958<br>Age=-999.0<br>SHAP=-0.004\", \"None=Asplund, Miss. Lillian Gertrud<br>Fare=31.3875<br>Age=5.0<br>SHAP=-0.000\", \"None=Harknett, Miss. Alice Phoebe<br>Fare=7.55<br>Age=-999.0<br>SHAP=-0.001\", \"None=Hunt, Mr. George Henry<br>Fare=12.275<br>Age=33.0<br>SHAP=-0.002\", \"None=Reed, Mr. James George<br>Fare=7.25<br>Age=-999.0<br>SHAP=-0.004\", \"None=Stead, Mr. William Thomas<br>Fare=26.55<br>Age=62.0<br>SHAP=-0.002\", \"None=Thorne, Mrs. Gertrude Maybelle<br>Fare=79.2<br>Age=-999.0<br>SHAP=-0.002\", \"None=Parrish, Mrs. (Lutie Davis)<br>Fare=26.0<br>Age=50.0<br>SHAP=0.001\", \"None=Smith, Mr. Thomas<br>Fare=7.75<br>Age=-999.0<br>SHAP=-0.002\", \"None=Asplund, Master. Edvin Rojj Felix<br>Fare=31.3875<br>Age=3.0<br>SHAP=-0.001\", \"None=Healy, Miss. Hanora \\\"Nora\\\"<br>Fare=7.75<br>Age=-999.0<br>SHAP=-0.000\", \"None=Andrews, Miss. Kornelia Theodosia<br>Fare=77.9583<br>Age=63.0<br>SHAP=-0.001\", \"None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Fare=20.25<br>Age=35.0<br>SHAP=0.001\", \"None=Smith, Mr. Richard William<br>Fare=26.0<br>Age=-999.0<br>SHAP=0.003\", \"None=Connolly, Miss. Kate<br>Fare=7.75<br>Age=22.0<br>SHAP=-0.001\", \"None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Fare=91.0792<br>Age=19.0<br>SHAP=-0.000\", \"None=Levy, Mr. Rene Jacques<br>Fare=12.875<br>Age=36.0<br>SHAP=-0.003\", \"None=Lewy, Mr. Ervin G<br>Fare=27.7208<br>Age=-999.0<br>SHAP=0.004\", \"None=Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Fare=8.05<br>Age=-999.0<br>SHAP=-0.004\", \"None=Sage, Mr. George John Jr<br>Fare=69.55<br>Age=-999.0<br>SHAP=0.000\", \"None=Nysveen, Mr. Johan Hansen<br>Fare=6.2375<br>Age=61.0<br>SHAP=0.004\", \"None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Fare=133.65<br>Age=-999.0<br>SHAP=0.002\", \"None=Denkoff, Mr. Mitto<br>Fare=7.8958<br>Age=-999.0<br>SHAP=-0.004\", \"None=Burns, Miss. Elizabeth Margaret<br>Fare=134.5<br>Age=41.0<br>SHAP=0.007\", \"None=Dimic, Mr. Jovan<br>Fare=8.6625<br>Age=42.0<br>SHAP=0.000\", \"None=del Carlo, Mr. Sebastiano<br>Fare=27.7208<br>Age=29.0<br>SHAP=-0.001\", \"None=Beavan, Mr. William Thomas<br>Fare=8.05<br>Age=19.0<br>SHAP=0.000\", \"None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Fare=82.1708<br>Age=-999.0<br>SHAP=-0.002\", \"None=Widener, Mr. Harry Elkins<br>Fare=211.5<br>Age=27.0<br>SHAP=0.002\", \"None=Gustafsson, Mr. Karl Gideon<br>Fare=7.775<br>Age=19.0<br>SHAP=0.000\", \"None=Plotcharsky, Mr. Vasil<br>Fare=7.8958<br>Age=-999.0<br>SHAP=-0.004\", \"None=Goodwin, Master. Sidney Leonard<br>Fare=46.9<br>Age=1.0<br>SHAP=-0.001\", \"None=Sadlier, Mr. Matthew<br>Fare=7.7292<br>Age=-999.0<br>SHAP=-0.002\", \"None=Gustafsson, Mr. Johan Birger<br>Fare=7.925<br>Age=28.0<br>SHAP=-0.000\", \"None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Fare=16.7<br>Age=24.0<br>SHAP=-0.003\", \"None=Niskanen, Mr. Juha<br>Fare=7.925<br>Age=39.0<br>SHAP=0.006\", \"None=Minahan, Miss. Daisy E<br>Fare=90.0<br>Age=33.0<br>SHAP=0.001\", \"None=Matthews, Mr. William John<br>Fare=13.0<br>Age=30.0<br>SHAP=-0.002\", \"None=Charters, Mr. David<br>Fare=7.7333<br>Age=21.0<br>SHAP=-0.000\", \"None=Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Fare=26.0<br>Age=19.0<br>SHAP=-0.000\", \"None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Fare=26.25<br>Age=45.0<br>SHAP=-0.000\", \"None=Johannesen-Bratthammer, Mr. Bernt<br>Fare=8.1125<br>Age=-999.0<br>SHAP=-0.004\", \"None=Peuchen, Major. Arthur Godfrey<br>Fare=30.5<br>Age=52.0<br>SHAP=0.001\", \"None=Anderson, Mr. Harry<br>Fare=26.55<br>Age=48.0<br>SHAP=0.001\", \"None=Milling, Mr. Jacob Christian<br>Fare=13.0<br>Age=48.0<br>SHAP=-0.002\", \"None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Fare=27.75<br>Age=33.0<br>SHAP=0.001\", \"None=Karlsson, Mr. Nils August<br>Fare=7.5208<br>Age=22.0<br>SHAP=-0.000\", \"None=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Fare=0.0<br>Age=-999.0<br>SHAP=-0.005\", \"None=Bishop, Mr. Dickinson H<br>Fare=91.0792<br>Age=25.0<br>SHAP=-0.000\", \"None=Windelov, Mr. Einar<br>Fare=7.25<br>Age=21.0<br>SHAP=-0.000\", \"None=Shellard, Mr. Frederick William<br>Fare=15.1<br>Age=-999.0<br>SHAP=0.003\", \"None=Svensson, Mr. Olof<br>Fare=7.7958<br>Age=24.0<br>SHAP=-0.001\", \"None=O'Sullivan, Miss. Bridget Mary<br>Fare=7.6292<br>Age=-999.0<br>SHAP=-0.000\", \"None=Laitinen, Miss. Kristina Sofia<br>Fare=9.5875<br>Age=37.0<br>SHAP=0.000\", \"None=Penasco y Castellana, Mr. Victor de Satode<br>Fare=108.9<br>Age=18.0<br>SHAP=0.007\", \"None=Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Fare=26.55<br>Age=-999.0<br>SHAP=0.004\", \"None=Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Fare=26.0<br>Age=36.0<br>SHAP=0.002\", \"None=Kassem, Mr. Fared<br>Fare=7.2292<br>Age=-999.0<br>SHAP=-0.002\", \"None=Cacic, Miss. Marija<br>Fare=8.6625<br>Age=30.0<br>SHAP=-0.001\", \"None=Hart, Miss. Eva Miriam<br>Fare=26.25<br>Age=7.0<br>SHAP=0.002\", \"None=Butt, Major. Archibald Willingham<br>Fare=26.55<br>Age=45.0<br>SHAP=-0.000\", \"None=Beane, Mr. Edward<br>Fare=26.0<br>Age=32.0<br>SHAP=0.000\", \"None=Goldsmith, Mr. Frank John<br>Fare=20.525<br>Age=33.0<br>SHAP=-0.001\", \"None=Ohman, Miss. Velin<br>Fare=7.775<br>Age=22.0<br>SHAP=-0.001\", \"None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Fare=79.65<br>Age=39.0<br>SHAP=0.004\", \"None=Morrow, Mr. Thomas Rowan<br>Fare=7.75<br>Age=-999.0<br>SHAP=-0.002\", \"None=Harris, Mr. George<br>Fare=10.5<br>Age=62.0<br>SHAP=0.003\", \"None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Fare=51.4792<br>Age=53.0<br>SHAP=0.004\", \"None=Patchett, Mr. George<br>Fare=14.5<br>Age=19.0<br>SHAP=-0.002\", \"None=Ross, Mr. John Hugo<br>Fare=40.125<br>Age=36.0<br>SHAP=0.003\", \"None=Murdlin, Mr. Joseph<br>Fare=8.05<br>Age=-999.0<br>SHAP=-0.004\", \"None=Bourke, Miss. Mary<br>Fare=7.75<br>Age=-999.0<br>SHAP=0.001\", \"None=Boulos, Mr. Hanna<br>Fare=7.225<br>Age=-999.0<br>SHAP=-0.002\", \"None=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Fare=56.9292<br>Age=49.0<br>SHAP=0.005\", \"None=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Fare=26.55<br>Age=35.0<br>SHAP=0.003\", \"None=Lindell, Mr. Edvard Bengtsson<br>Fare=15.55<br>Age=36.0<br>SHAP=-0.002\", \"None=Daniel, Mr. Robert Williams<br>Fare=30.5<br>Age=27.0<br>SHAP=-0.000\", \"None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Fare=41.5792<br>Age=22.0<br>SHAP=0.000\", \"None=Shutes, Miss. Elizabeth W<br>Fare=153.4625<br>Age=40.0<br>SHAP=0.001\", \"None=Jardin, Mr. Jose Neto<br>Fare=7.05<br>Age=-999.0<br>SHAP=-0.004\", \"None=Horgan, Mr. John<br>Fare=7.75<br>Age=-999.0<br>SHAP=-0.002\", \"None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Fare=16.1<br>Age=26.0<br>SHAP=-0.002\", \"None=Yasbeck, Mr. Antoni<br>Fare=14.4542<br>Age=27.0<br>SHAP=-0.002\", \"None=Bostandyeff, Mr. Guentcho<br>Fare=7.8958<br>Age=26.0<br>SHAP=0.000\", \"None=Lundahl, Mr. Johan Svensson<br>Fare=7.0542<br>Age=51.0<br>SHAP=-0.001\", \"None=Stahelin-Maeglin, Dr. Max<br>Fare=30.5<br>Age=32.0<br>SHAP=0.001\", \"None=Willey, Mr. Edward<br>Fare=7.55<br>Age=-999.0<br>SHAP=-0.004\", \"None=Stanley, Miss. Amy Zillah Elsie<br>Fare=7.55<br>Age=23.0<br>SHAP=-0.001\", \"None=Hegarty, Miss. Hanora \\\"Nora\\\"<br>Fare=6.75<br>Age=18.0<br>SHAP=-0.000\", \"None=Eitemiller, Mr. George Floyd<br>Fare=13.0<br>Age=23.0<br>SHAP=-0.002\", \"None=Colley, Mr. Edward Pomeroy<br>Fare=25.5875<br>Age=47.0<br>SHAP=-0.003\", \"None=Coleff, Mr. Peju<br>Fare=7.4958<br>Age=36.0<br>SHAP=-0.002\", \"None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Fare=39.0<br>Age=40.0<br>SHAP=0.002\", \"None=Davidson, Mr. Thornton<br>Fare=52.0<br>Age=31.0<br>SHAP=-0.001\", \"None=Turja, Miss. Anna Sofia<br>Fare=9.8417<br>Age=18.0<br>SHAP=-0.002\", \"None=Hassab, Mr. Hammad<br>Fare=76.7292<br>Age=27.0<br>SHAP=-0.005\", \"None=Goodwin, Mr. Charles Edward<br>Fare=46.9<br>Age=14.0<br>SHAP=0.001\", \"None=Panula, Mr. Jaako Arnold<br>Fare=39.6875<br>Age=14.0<br>SHAP=-0.000\", \"None=Fischer, Mr. Eberhard Thelander<br>Fare=7.7958<br>Age=18.0<br>SHAP=0.000\", \"None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Fare=7.65<br>Age=42.0<br>SHAP=0.002\", \"None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Fare=227.525<br>Age=18.0<br>SHAP=0.002\", \"None=Hansen, Mr. Henrik Juul<br>Fare=7.8542<br>Age=26.0<br>SHAP=0.000\", \"None=Calderhead, Mr. Edward Pennington<br>Fare=26.2875<br>Age=42.0<br>SHAP=-0.002\", \"None=Klaber, Mr. Herman<br>Fare=26.55<br>Age=-999.0<br>SHAP=0.005\", \"None=Taylor, Mr. Elmer Zebley<br>Fare=52.0<br>Age=48.0<br>SHAP=-0.001\", \"None=Larsson, Mr. August Viktor<br>Fare=9.4833<br>Age=29.0<br>SHAP=-0.000\", \"None=Greenberg, Mr. Samuel<br>Fare=13.0<br>Age=52.0<br>SHAP=-0.002\", \"None=Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Fare=10.5<br>Age=27.0<br>SHAP=-0.001\", \"None=McEvoy, Mr. Michael<br>Fare=15.5<br>Age=-999.0<br>SHAP=0.002\", \"None=Johnson, Mr. Malkolm Joackim<br>Fare=7.775<br>Age=33.0<br>SHAP=-0.001\", \"None=Gillespie, Mr. William Henry<br>Fare=13.0<br>Age=34.0<br>SHAP=-0.002\", \"None=Allen, Miss. Elisabeth Walton<br>Fare=211.3375<br>Age=29.0<br>SHAP=-0.000\", \"None=Berriman, Mr. William John<br>Fare=13.0<br>Age=23.0<br>SHAP=-0.002\", \"None=Troupiansky, Mr. Moses Aaron<br>Fare=13.0<br>Age=23.0<br>SHAP=-0.002\", \"None=Williams, Mr. Leslie<br>Fare=16.1<br>Age=28.5<br>SHAP=-0.003\", \"None=Ivanoff, Mr. Kanio<br>Fare=7.8958<br>Age=-999.0<br>SHAP=-0.004\", \"None=McNamee, Mr. Neal<br>Fare=16.1<br>Age=24.0<br>SHAP=-0.004\", \"None=Connaghton, Mr. Michael<br>Fare=7.75<br>Age=31.0<br>SHAP=-0.001\", \"None=Carlsson, Mr. August Sigfrid<br>Fare=7.7958<br>Age=28.0<br>SHAP=0.000\", \"None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Fare=86.5<br>Age=33.0<br>SHAP=0.001\", \"None=Eklund, Mr. Hans Linus<br>Fare=7.775<br>Age=16.0<br>SHAP=-0.000\", \"None=Hogeboom, Mrs. John C (Anna Andrews)<br>Fare=77.9583<br>Age=51.0<br>SHAP=0.004\", \"None=Moran, Mr. Daniel J<br>Fare=24.15<br>Age=-999.0<br>SHAP=-0.000\", \"None=Lievens, Mr. Rene Aime<br>Fare=9.5<br>Age=24.0<br>SHAP=-0.001\", \"None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Fare=211.3375<br>Age=43.0<br>SHAP=0.005\", \"None=Ayoub, Miss. Banoura<br>Fare=7.2292<br>Age=13.0<br>SHAP=0.001\", \"None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Fare=57.0<br>Age=17.0<br>SHAP=0.002\", \"None=Johnston, Mr. Andrew G<br>Fare=23.45<br>Age=-999.0<br>SHAP=0.004\", \"None=Ali, Mr. William<br>Fare=7.05<br>Age=25.0<br>SHAP=0.000\", \"None=Sjoblom, Miss. Anna Sofia<br>Fare=7.4958<br>Age=18.0<br>SHAP=-0.001\", \"None=Guggenheim, Mr. Benjamin<br>Fare=79.2<br>Age=46.0<br>SHAP=0.010\", \"None=Leader, Dr. Alice (Farnham)<br>Fare=25.9292<br>Age=49.0<br>SHAP=0.000\", \"None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Fare=26.25<br>Age=31.0<br>SHAP=0.001\", \"None=Carter, Master. William Thornton II<br>Fare=120.0<br>Age=11.0<br>SHAP=0.006\", \"None=Thomas, Master. Assad Alexander<br>Fare=8.5167<br>Age=0.42<br>SHAP=-0.001\", \"None=Johansson, Mr. Karl Johan<br>Fare=7.775<br>Age=31.0<br>SHAP=0.000\", \"None=Slemen, Mr. Richard James<br>Fare=10.5<br>Age=35.0<br>SHAP=-0.002\", \"None=Tomlin, Mr. Ernest Portage<br>Fare=8.05<br>Age=30.5<br>SHAP=0.000\", \"None=McCormack, Mr. Thomas Joseph<br>Fare=7.75<br>Age=-999.0<br>SHAP=-0.002\", \"None=Richards, Master. George Sibley<br>Fare=18.75<br>Age=0.83<br>SHAP=0.004\", \"None=Mudd, Mr. Thomas Charles<br>Fare=10.5<br>Age=16.0<br>SHAP=-0.002\", \"None=Lemberopolous, Mr. Peter L<br>Fare=6.4375<br>Age=34.5<br>SHAP=-0.002\", \"None=Sage, Mr. Douglas Bullen<br>Fare=69.55<br>Age=-999.0<br>SHAP=0.000\", \"None=Boulos, Miss. Nourelain<br>Fare=15.2458<br>Age=9.0<br>SHAP=0.003\", \"None=Aks, Mrs. Sam (Leah Rosen)<br>Fare=9.35<br>Age=18.0<br>SHAP=-0.002\", \"None=Razi, Mr. Raihed<br>Fare=7.2292<br>Age=-999.0<br>SHAP=-0.002\", \"None=Johnson, Master. Harold Theodor<br>Fare=11.1333<br>Age=4.0<br>SHAP=0.003\", \"None=Carlsson, Mr. Frans Olof<br>Fare=5.0<br>Age=33.0<br>SHAP=-0.002\", \"None=Gustafsson, Mr. Alfred Ossian<br>Fare=9.8458<br>Age=20.0<br>SHAP=-0.001\", \"None=Montvila, Rev. Juozas<br>Fare=13.0<br>Age=27.0<br>SHAP=-0.002\"], \"type\": \"scattergl\", \"x\": [71.2833, 53.1, 21.075, 11.1333, 30.0708, 8.05, 7.8542, 31.3875, 7.75, 82.1708, 7.8958, 7.8792, 17.8, 10.5, 83.475, 27.9, 8.6625, 73.5, 10.5, 34.375, 8.05, 7.8542, 61.175, 7.8958, 77.2875, 7.8958, 24.15, 8.05, 9.825, 7.925, 21.0, 8.05, 9.2167, 34.375, 26.0, 12.525, 8.05, 16.1, 55.0, 33.5, 7.925, 7.8542, 50.0, 7.8542, 27.7208, 9.5, 15.85, 31.0, 7.05, 8.05, 7.8958, 31.3875, 7.55, 12.275, 7.25, 26.55, 79.2, 26.0, 7.75, 31.3875, 7.75, 77.9583, 20.25, 26.0, 7.75, 91.0792, 12.875, 27.7208, 8.05, 69.55, 6.2375, 133.65, 7.8958, 134.5, 8.6625, 27.7208, 8.05, 82.1708, 211.5, 7.775, 7.8958, 46.9, 7.7292, 7.925, 16.7, 7.925, 90.0, 13.0, 7.7333, 26.0, 26.25, 8.1125, 30.5, 26.55, 13.0, 27.75, 7.5208, 0.0, 91.0792, 7.25, 15.1, 7.7958, 7.6292, 9.5875, 108.9, 26.55, 26.0, 7.2292, 8.6625, 26.25, 26.55, 26.0, 20.525, 7.775, 79.65, 7.75, 10.5, 51.4792, 14.5, 40.125, 8.05, 7.75, 7.225, 56.9292, 26.55, 15.55, 30.5, 41.5792, 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Hulda Amanda Adolfina\", \"showlegend\": false, \"text\": \"None Vestrom, Miss. Hulda Amanda Adolfina\", \"type\": \"scattergl\", \"x\": [7.8542], \"y\": [0.0010608073020583304]}],                        {\"hovermode\": \"closest\", \"paper_bgcolor\": \"#fff\", \"plot_bgcolor\": \"#fff\", \"showlegend\": false, \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Interaction plot for Fare and Age\"}, \"xaxis\": {\"title\": {\"text\": \"Fare\"}}, \"yaxis\": {\"title\": {\"text\": \"SHAP value\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('0038d241-52e8-47db-8c4a-6fe4b0cf6746');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "explainer.plot_interaction(\"Fare\", \"Age\", highlight_index=name)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T15:59:13.538154Z",
+     "start_time": "2021-01-20T15:59:13.517489Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
         {
          "hoverinfo": "text",
          "marker": {
@@ -31072,9 +22486,8 @@
            13
           ],
           "colorbar": {
-           "showticklabels": false,
            "title": {
-            "text": "feature value <br> (red is high)"
+            "text": "Fare"
            }
           },
           "colorscale": [
@@ -31087,12505 +22500,3263 @@
             "rgb(255,0,0)"
            ]
           ],
-          "opacity": 0.3,
+          "opacity": 0.6,
           "showscale": true,
-          "size": 5
+          "size": 7
          },
          "mode": "markers",
-         "name": "Fare",
-         "opacity": 0.8,
-         "showlegend": false,
          "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Fare=71.2833<br>shap=0.001",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Fare=53.1<br>shap=0.002",
-          "index=Palsson, Master. Gosta Leonard<br>Fare=21.075<br>shap=-0.001",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Fare=11.1333<br>shap=-0.005",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Fare=30.0708<br>shap=-0.004",
-          "index=Saundercock, Mr. William Henry<br>Fare=8.05<br>shap=0.008",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Fare=7.8542<br>shap=0.001",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Fare=31.3875<br>shap=-0.011",
-          "index=Glynn, Miss. Mary Agatha<br>Fare=7.75<br>shap=0.007",
-          "index=Meyer, Mr. Edgar Joseph<br>Fare=82.1708<br>shap=-0.009",
-          "index=Kraeff, Mr. Theodor<br>Fare=7.8958<br>shap=0.003",
-          "index=Devaney, Miss. Margaret Delia<br>Fare=7.8792<br>shap=0.008",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Fare=17.8<br>shap=0.005",
-          "index=Rugg, Miss. Emily<br>Fare=10.5<br>shap=-0.011",
-          "index=Harris, Mr. Henry Birkhardt<br>Fare=83.475<br>shap=-0.009",
-          "index=Skoog, Master. Harald<br>Fare=27.9<br>shap=0.002",
-          "index=Kink, Mr. Vincenz<br>Fare=8.6625<br>shap=0.009",
-          "index=Hood, Mr. Ambrose Jr<br>Fare=73.5<br>shap=-0.006",
-          "index=Ilett, Miss. Bertha<br>Fare=10.5<br>shap=-0.011",
-          "index=Ford, Mr. William Neal<br>Fare=34.375<br>shap=0.004",
-          "index=Christmann, Mr. Emil<br>Fare=8.05<br>shap=0.009",
-          "index=Andreasson, Mr. Paul Edvin<br>Fare=7.8542<br>shap=0.006",
-          "index=Chaffee, Mr. Herbert Fuller<br>Fare=61.175<br>shap=-0.011",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Fare=7.8958<br>shap=0.005",
-          "index=White, Mr. Richard Frasar<br>Fare=77.2875<br>shap=-0.008",
-          "index=Rekic, Mr. Tido<br>Fare=7.8958<br>shap=0.007",
-          "index=Moran, Miss. Bertha<br>Fare=24.15<br>shap=-0.011",
-          "index=Barton, Mr. David John<br>Fare=8.05<br>shap=0.008",
-          "index=Jussila, Miss. Katriina<br>Fare=9.825<br>shap=-0.013",
-          "index=Pekoniemi, Mr. Edvard<br>Fare=7.925<br>shap=0.007",
-          "index=Turpin, Mr. William John Robert<br>Fare=21.0<br>shap=-0.007",
-          "index=Moore, Mr. Leonard Charles<br>Fare=8.05<br>shap=0.007",
-          "index=Osen, Mr. Olaf Elon<br>Fare=9.2167<br>shap=0.008",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Fare=34.375<br>shap=-0.011",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Fare=26.0<br>shap=-0.0",
-          "index=Bateman, Rev. Robert James<br>Fare=12.525<br>shap=-0.002",
-          "index=Meo, Mr. Alfonzo<br>Fare=8.05<br>shap=0.008",
-          "index=Cribb, Mr. John Hatfield<br>Fare=16.1<br>shap=-0.002",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Fare=55.0<br>shap=0.008",
-          "index=Van der hoef, Mr. Wyckoff<br>Fare=33.5<br>shap=0.001",
-          "index=Sivola, Mr. Antti Wilhelm<br>Fare=7.925<br>shap=0.007",
-          "index=Klasen, Mr. Klas Albin<br>Fare=7.8542<br>shap=0.009",
-          "index=Rood, Mr. Hugh Roscoe<br>Fare=50.0<br>shap=-0.006",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Fare=7.8542<br>shap=-0.004",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Fare=27.7208<br>shap=-0.004",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Fare=9.5<br>shap=0.009",
-          "index=Backstrom, Mr. Karl Alfred<br>Fare=15.85<br>shap=-0.004",
-          "index=Blank, Mr. Henry<br>Fare=31.0<br>shap=0.004",
-          "index=Ali, Mr. Ahmed<br>Fare=7.05<br>shap=0.006",
-          "index=Green, Mr. George Henry<br>Fare=8.05<br>shap=0.008",
-          "index=Nenkoff, Mr. Christo<br>Fare=7.8958<br>shap=0.005",
-          "index=Asplund, Miss. Lillian Gertrud<br>Fare=31.3875<br>shap=-0.009",
-          "index=Harknett, Miss. Alice Phoebe<br>Fare=7.55<br>shap=0.007",
-          "index=Hunt, Mr. George Henry<br>Fare=12.275<br>shap=-0.002",
-          "index=Reed, Mr. James George<br>Fare=7.25<br>shap=0.004",
-          "index=Stead, Mr. William Thomas<br>Fare=26.55<br>shap=0.006",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Fare=79.2<br>shap=-0.014",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Fare=26.0<br>shap=0.002",
-          "index=Smith, Mr. Thomas<br>Fare=7.75<br>shap=0.0",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Fare=31.3875<br>shap=0.004",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Fare=7.75<br>shap=0.007",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Fare=77.9583<br>shap=-0.004",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Fare=20.25<br>shap=-0.002",
-          "index=Smith, Mr. Richard William<br>Fare=26.0<br>shap=0.002",
-          "index=Connolly, Miss. Kate<br>Fare=7.75<br>shap=0.004",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Fare=91.0792<br>shap=0.0",
-          "index=Levy, Mr. Rene Jacques<br>Fare=12.875<br>shap=0.001",
-          "index=Lewy, Mr. Ervin G<br>Fare=27.7208<br>shap=-0.0",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Fare=8.05<br>shap=0.007",
-          "index=Sage, Mr. George John Jr<br>Fare=69.55<br>shap=0.003",
-          "index=Nysveen, Mr. Johan Hansen<br>Fare=6.2375<br>shap=0.005",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Fare=133.65<br>shap=-0.013",
-          "index=Denkoff, Mr. Mitto<br>Fare=7.8958<br>shap=0.005",
-          "index=Burns, Miss. Elizabeth Margaret<br>Fare=134.5<br>shap=0.002",
-          "index=Dimic, Mr. Jovan<br>Fare=8.6625<br>shap=0.008",
-          "index=del Carlo, Mr. Sebastiano<br>Fare=27.7208<br>shap=-0.002",
-          "index=Beavan, Mr. William Thomas<br>Fare=8.05<br>shap=0.008",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Fare=82.1708<br>shap=-0.01",
-          "index=Widener, Mr. Harry Elkins<br>Fare=211.5<br>shap=-0.009",
-          "index=Gustafsson, Mr. Karl Gideon<br>Fare=7.775<br>shap=0.006",
-          "index=Plotcharsky, Mr. Vasil<br>Fare=7.8958<br>shap=0.005",
-          "index=Goodwin, Master. Sidney Leonard<br>Fare=46.9<br>shap=0.003",
-          "index=Sadlier, Mr. Matthew<br>Fare=7.7292<br>shap=0.0",
-          "index=Gustafsson, Mr. Johan Birger<br>Fare=7.925<br>shap=0.008",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Fare=16.7<br>shap=-0.001",
-          "index=Niskanen, Mr. Juha<br>Fare=7.925<br>shap=0.007",
-          "index=Minahan, Miss. Daisy E<br>Fare=90.0<br>shap=-0.003",
-          "index=Matthews, Mr. William John<br>Fare=13.0<br>shap=-0.002",
-          "index=Charters, Mr. David<br>Fare=7.7333<br>shap=0.002",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Fare=26.0<br>shap=-0.001",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Fare=26.25<br>shap=0.002",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Fare=8.1125<br>shap=0.007",
-          "index=Peuchen, Major. Arthur Godfrey<br>Fare=30.5<br>shap=0.006",
-          "index=Anderson, Mr. Harry<br>Fare=26.55<br>shap=0.002",
-          "index=Milling, Mr. Jacob Christian<br>Fare=13.0<br>shap=-0.002",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Fare=27.75<br>shap=0.002",
-          "index=Karlsson, Mr. Nils August<br>Fare=7.5208<br>shap=0.005",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Fare=0.0<br>shap=0.01",
-          "index=Bishop, Mr. Dickinson H<br>Fare=91.0792<br>shap=-0.008",
-          "index=Windelov, Mr. Einar<br>Fare=7.25<br>shap=0.005",
-          "index=Shellard, Mr. Frederick William<br>Fare=15.1<br>shap=-0.003",
-          "index=Svensson, Mr. Olof<br>Fare=7.7958<br>shap=0.006",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Fare=7.6292<br>shap=0.011",
-          "index=Laitinen, Miss. Kristina Sofia<br>Fare=9.5875<br>shap=-0.011",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Fare=108.9<br>shap=-0.011",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Fare=26.55<br>shap=0.0",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Fare=26.0<br>shap=0.002",
-          "index=Kassem, Mr. Fared<br>Fare=7.2292<br>shap=0.004",
-          "index=Cacic, Miss. Marija<br>Fare=8.6625<br>shap=-0.008",
-          "index=Hart, Miss. Eva Miriam<br>Fare=26.25<br>shap=0.001",
-          "index=Butt, Major. Archibald Willingham<br>Fare=26.55<br>shap=0.001",
-          "index=Beane, Mr. Edward<br>Fare=26.0<br>shap=-0.005",
-          "index=Goldsmith, Mr. Frank John<br>Fare=20.525<br>shap=-0.002",
-          "index=Ohman, Miss. Velin<br>Fare=7.775<br>shap=-0.001",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Fare=79.65<br>shap=0.009",
-          "index=Morrow, Mr. Thomas Rowan<br>Fare=7.75<br>shap=0.0",
-          "index=Harris, Mr. George<br>Fare=10.5<br>shap=0.012",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Fare=51.4792<br>shap=0.008",
-          "index=Patchett, Mr. George<br>Fare=14.5<br>shap=-0.004",
-          "index=Ross, Mr. John Hugo<br>Fare=40.125<br>shap=0.002",
-          "index=Murdlin, Mr. Joseph<br>Fare=8.05<br>shap=0.007",
-          "index=Bourke, Miss. Mary<br>Fare=7.75<br>shap=-0.003",
-          "index=Boulos, Mr. Hanna<br>Fare=7.225<br>shap=0.004",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Fare=56.9292<br>shap=-0.009",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Fare=26.55<br>shap=0.001",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Fare=15.55<br>shap=-0.004",
-          "index=Daniel, Mr. Robert Williams<br>Fare=30.5<br>shap=-0.001",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Fare=41.5792<br>shap=0.001",
-          "index=Shutes, Miss. Elizabeth W<br>Fare=153.4625<br>shap=-0.001",
-          "index=Jardin, Mr. Jose Neto<br>Fare=7.05<br>shap=0.004",
-          "index=Horgan, Mr. John<br>Fare=7.75<br>shap=0.0",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Fare=16.1<br>shap=0.006",
-          "index=Yasbeck, Mr. Antoni<br>Fare=14.4542<br>shap=0.001",
-          "index=Bostandyeff, Mr. Guentcho<br>Fare=7.8958<br>shap=0.007",
-          "index=Lundahl, Mr. Johan Svensson<br>Fare=7.0542<br>shap=0.006",
-          "index=Stahelin-Maeglin, Dr. Max<br>Fare=30.5<br>shap=0.002",
-          "index=Willey, Mr. Edward<br>Fare=7.55<br>shap=0.004",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Fare=7.55<br>shap=0.004",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Fare=6.75<br>shap=0.009",
-          "index=Eitemiller, Mr. George Floyd<br>Fare=13.0<br>shap=-0.002",
-          "index=Colley, Mr. Edward Pomeroy<br>Fare=25.5875<br>shap=0.002",
-          "index=Coleff, Mr. Peju<br>Fare=7.4958<br>shap=0.006",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Fare=39.0<br>shap=0.0",
-          "index=Davidson, Mr. Thornton<br>Fare=52.0<br>shap=-0.009",
-          "index=Turja, Miss. Anna Sofia<br>Fare=9.8417<br>shap=-0.012",
-          "index=Hassab, Mr. Hammad<br>Fare=76.7292<br>shap=-0.007",
-          "index=Goodwin, Mr. Charles Edward<br>Fare=46.9<br>shap=0.004",
-          "index=Panula, Mr. Jaako Arnold<br>Fare=39.6875<br>shap=0.004",
-          "index=Fischer, Mr. Eberhard Thelander<br>Fare=7.7958<br>shap=0.006",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Fare=7.65<br>shap=0.003",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Fare=227.525<br>shap=0.004",
-          "index=Hansen, Mr. Henrik Juul<br>Fare=7.8542<br>shap=0.007",
-          "index=Calderhead, Mr. Edward Pennington<br>Fare=26.2875<br>shap=0.002",
-          "index=Klaber, Mr. Herman<br>Fare=26.55<br>shap=0.007",
-          "index=Taylor, Mr. Elmer Zebley<br>Fare=52.0<br>shap=-0.008",
-          "index=Larsson, Mr. August Viktor<br>Fare=9.4833<br>shap=0.009",
-          "index=Greenberg, Mr. Samuel<br>Fare=13.0<br>shap=-0.002",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Fare=10.5<br>shap=-0.02",
-          "index=McEvoy, Mr. Michael<br>Fare=15.5<br>shap=-0.004",
-          "index=Johnson, Mr. Malkolm Joackim<br>Fare=7.775<br>shap=0.006",
-          "index=Gillespie, Mr. William Henry<br>Fare=13.0<br>shap=-0.002",
-          "index=Allen, Miss. Elisabeth Walton<br>Fare=211.3375<br>shap=-0.008",
-          "index=Berriman, Mr. William John<br>Fare=13.0<br>shap=-0.002",
-          "index=Troupiansky, Mr. Moses Aaron<br>Fare=13.0<br>shap=-0.002",
-          "index=Williams, Mr. Leslie<br>Fare=16.1<br>shap=-0.004",
-          "index=Ivanoff, Mr. Kanio<br>Fare=7.8958<br>shap=0.005",
-          "index=McNamee, Mr. Neal<br>Fare=16.1<br>shap=-0.005",
-          "index=Connaghton, Mr. Michael<br>Fare=7.75<br>shap=0.003",
-          "index=Carlsson, Mr. August Sigfrid<br>Fare=7.7958<br>shap=0.007",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Fare=86.5<br>shap=-0.004",
-          "index=Eklund, Mr. Hans Linus<br>Fare=7.775<br>shap=0.006",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Fare=77.9583<br>shap=-0.003",
-          "index=Moran, Mr. Daniel J<br>Fare=24.15<br>shap=0.005",
-          "index=Lievens, Mr. Rene Aime<br>Fare=9.5<br>shap=0.009",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Fare=211.3375<br>shap=-0.005",
-          "index=Ayoub, Miss. Banoura<br>Fare=7.2292<br>shap=0.009",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Fare=57.0<br>shap=-0.001",
-          "index=Johnston, Mr. Andrew G<br>Fare=23.45<br>shap=0.0",
-          "index=Ali, Mr. William<br>Fare=7.05<br>shap=0.006",
-          "index=Sjoblom, Miss. Anna Sofia<br>Fare=7.4958<br>shap=0.004",
-          "index=Guggenheim, Mr. Benjamin<br>Fare=79.2<br>shap=-0.007",
-          "index=Leader, Dr. Alice (Farnham)<br>Fare=25.9292<br>shap=-0.002",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Fare=26.25<br>shap=0.003",
-          "index=Carter, Master. William Thornton II<br>Fare=120.0<br>shap=-0.003",
-          "index=Thomas, Master. Assad Alexander<br>Fare=8.5167<br>shap=0.009",
-          "index=Johansson, Mr. Karl Johan<br>Fare=7.775<br>shap=0.007",
-          "index=Slemen, Mr. Richard James<br>Fare=10.5<br>shap=0.012",
-          "index=Tomlin, Mr. Ernest Portage<br>Fare=8.05<br>shap=0.009",
-          "index=McCormack, Mr. Thomas Joseph<br>Fare=7.75<br>shap=0.0",
-          "index=Richards, Master. George Sibley<br>Fare=18.75<br>shap=-0.001",
-          "index=Mudd, Mr. Thomas Charles<br>Fare=10.5<br>shap=0.012",
-          "index=Lemberopolous, Mr. Peter L<br>Fare=6.4375<br>shap=0.005",
-          "index=Sage, Mr. Douglas Bullen<br>Fare=69.55<br>shap=0.003",
-          "index=Boulos, Miss. Nourelain<br>Fare=15.2458<br>shap=-0.012",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Fare=9.35<br>shap=-0.012",
-          "index=Razi, Mr. Raihed<br>Fare=7.2292<br>shap=0.004",
-          "index=Johnson, Master. Harold Theodor<br>Fare=11.1333<br>shap=0.003",
-          "index=Carlsson, Mr. Frans Olof<br>Fare=5.0<br>shap=0.009",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Fare=9.8458<br>shap=0.01",
-          "index=Montvila, Rev. Juozas<br>Fare=13.0<br>shap=-0.002"
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-            "text": "feature value <br> (red is high)"
+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=38.0<br>Fare=71.2833<br>SHAP=0.004",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=35.0<br>Fare=53.1<br>SHAP=0.001",
+          "None=Palsson, Master. Gosta Leonard<br>Age=2.0<br>Fare=21.075<br>SHAP=0.003",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=27.0<br>Fare=11.1333<br>SHAP=-0.001",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>Fare=30.0708<br>SHAP=0.001",
+          "None=Saundercock, Mr. William Henry<br>Age=20.0<br>Fare=8.05<br>SHAP=0.000",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=14.0<br>Fare=7.8542<br>SHAP=0.001",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=38.0<br>Fare=31.3875<br>SHAP=0.002",
+          "None=Glynn, Miss. Mary Agatha<br>Age=-999.0<br>Fare=7.75<br>SHAP=-0.000",
+          "None=Meyer, Mr. Edgar Joseph<br>Age=28.0<br>Fare=82.1708<br>SHAP=-0.004",
+          "None=Kraeff, Mr. Theodor<br>Age=-999.0<br>Fare=7.8958<br>SHAP=-0.002",
+          "None=Devaney, Miss. Margaret Delia<br>Age=19.0<br>Fare=7.8792<br>SHAP=-0.000",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=18.0<br>Fare=17.8<br>SHAP=-0.002",
+          "None=Rugg, Miss. Emily<br>Age=21.0<br>Fare=10.5<br>SHAP=-0.001",
+          "None=Harris, Mr. Henry Birkhardt<br>Age=45.0<br>Fare=83.475<br>SHAP=0.001",
+          "None=Skoog, Master. Harald<br>Age=4.0<br>Fare=27.9<br>SHAP=0.001",
+          "None=Kink, Mr. Vincenz<br>Age=26.0<br>Fare=8.6625<br>SHAP=0.000",
+          "None=Hood, Mr. Ambrose Jr<br>Age=21.0<br>Fare=73.5<br>SHAP=0.000",
+          "None=Ilett, Miss. Bertha<br>Age=17.0<br>Fare=10.5<br>SHAP=-0.001",
+          "None=Ford, Mr. William Neal<br>Age=16.0<br>Fare=34.375<br>SHAP=-0.000",
+          "None=Christmann, Mr. Emil<br>Age=29.0<br>Fare=8.05<br>SHAP=0.000",
+          "None=Andreasson, Mr. Paul Edvin<br>Age=20.0<br>Fare=7.8542<br>SHAP=0.000",
+          "None=Chaffee, Mr. Herbert Fuller<br>Age=46.0<br>Fare=61.175<br>SHAP=0.003",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=-999.0<br>Fare=7.8958<br>SHAP=-0.004",
+          "None=White, Mr. Richard Frasar<br>Age=21.0<br>Fare=77.2875<br>SHAP=0.001",
+          "None=Rekic, Mr. Tido<br>Age=38.0<br>Fare=7.8958<br>SHAP=-0.001",
+          "None=Moran, Miss. Bertha<br>Age=-999.0<br>Fare=24.15<br>SHAP=0.000",
+          "None=Barton, Mr. David John<br>Age=22.0<br>Fare=8.05<br>SHAP=-0.001",
+          "None=Jussila, Miss. Katriina<br>Age=20.0<br>Fare=9.825<br>SHAP=-0.002",
+          "None=Pekoniemi, Mr. Edvard<br>Age=21.0<br>Fare=7.925<br>SHAP=-0.001",
+          "None=Turpin, Mr. William John Robert<br>Age=29.0<br>Fare=21.0<br>SHAP=-0.003",
+          "None=Moore, Mr. Leonard Charles<br>Age=-999.0<br>Fare=8.05<br>SHAP=-0.004",
+          "None=Osen, Mr. Olaf Elon<br>Age=16.0<br>Fare=9.2167<br>SHAP=-0.000",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=9.0<br>Fare=34.375<br>SHAP=-0.001",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=36.5<br>Fare=26.0<br>SHAP=-0.000",
+          "None=Bateman, Rev. Robert James<br>Age=51.0<br>Fare=12.525<br>SHAP=-0.001",
+          "None=Meo, Mr. Alfonzo<br>Age=55.5<br>Fare=8.05<br>SHAP=0.002",
+          "None=Cribb, Mr. John Hatfield<br>Age=44.0<br>Fare=16.1<br>SHAP=-0.003",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=-999.0<br>Fare=55.0<br>SHAP=0.001",
+          "None=Van der hoef, Mr. Wyckoff<br>Age=61.0<br>Fare=33.5<br>SHAP=-0.005",
+          "None=Sivola, Mr. Antti Wilhelm<br>Age=21.0<br>Fare=7.925<br>SHAP=-0.001",
+          "None=Klasen, Mr. Klas Albin<br>Age=18.0<br>Fare=7.8542<br>SHAP=-0.004",
+          "None=Rood, Mr. Hugh Roscoe<br>Age=-999.0<br>Fare=50.0<br>SHAP=0.004",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=19.0<br>Fare=7.8542<br>SHAP=-0.001",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>Fare=27.7208<br>SHAP=-0.003",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>Fare=9.5<br>SHAP=0.000",
+          "None=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>Fare=15.85<br>SHAP=-0.003",
+          "None=Blank, Mr. Henry<br>Age=40.0<br>Fare=31.0<br>SHAP=0.000",
+          "None=Ali, Mr. Ahmed<br>Age=24.0<br>Fare=7.05<br>SHAP=-0.001",
+          "None=Green, Mr. George Henry<br>Age=51.0<br>Fare=8.05<br>SHAP=0.002",
+          "None=Nenkoff, Mr. Christo<br>Age=-999.0<br>Fare=7.8958<br>SHAP=-0.004",
+          "None=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>Fare=31.3875<br>SHAP=-0.000",
+          "None=Harknett, Miss. Alice Phoebe<br>Age=-999.0<br>Fare=7.55<br>SHAP=-0.001",
+          "None=Hunt, Mr. George Henry<br>Age=33.0<br>Fare=12.275<br>SHAP=-0.002",
+          "None=Reed, Mr. James George<br>Age=-999.0<br>Fare=7.25<br>SHAP=-0.004",
+          "None=Stead, Mr. William Thomas<br>Age=62.0<br>Fare=26.55<br>SHAP=-0.002",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Age=-999.0<br>Fare=79.2<br>SHAP=-0.002",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>Fare=26.0<br>SHAP=0.001",
+          "None=Smith, Mr. Thomas<br>Age=-999.0<br>Fare=7.75<br>SHAP=-0.002",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>Fare=31.3875<br>SHAP=-0.001",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Age=-999.0<br>Fare=7.75<br>SHAP=-0.000",
+          "None=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>Fare=77.9583<br>SHAP=-0.001",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>Fare=20.25<br>SHAP=0.001",
+          "None=Smith, Mr. Richard William<br>Age=-999.0<br>Fare=26.0<br>SHAP=0.003",
+          "None=Connolly, Miss. Kate<br>Age=22.0<br>Fare=7.75<br>SHAP=-0.001",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>Fare=91.0792<br>SHAP=-0.000",
+          "None=Levy, Mr. Rene Jacques<br>Age=36.0<br>Fare=12.875<br>SHAP=-0.003",
+          "None=Lewy, Mr. Ervin G<br>Age=-999.0<br>Fare=27.7208<br>SHAP=0.004",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Age=-999.0<br>Fare=8.05<br>SHAP=-0.004",
+          "None=Sage, Mr. George John Jr<br>Age=-999.0<br>Fare=69.55<br>SHAP=0.000",
+          "None=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>Fare=6.2375<br>SHAP=0.004",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=-999.0<br>Fare=133.65<br>SHAP=0.002",
+          "None=Denkoff, Mr. Mitto<br>Age=-999.0<br>Fare=7.8958<br>SHAP=-0.004",
+          "None=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>Fare=134.5<br>SHAP=0.007",
+          "None=Dimic, Mr. Jovan<br>Age=42.0<br>Fare=8.6625<br>SHAP=0.000",
+          "None=del Carlo, Mr. Sebastiano<br>Age=29.0<br>Fare=27.7208<br>SHAP=-0.001",
+          "None=Beavan, Mr. William Thomas<br>Age=19.0<br>Fare=8.05<br>SHAP=0.000",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=-999.0<br>Fare=82.1708<br>SHAP=-0.002",
+          "None=Widener, Mr. Harry Elkins<br>Age=27.0<br>Fare=211.5<br>SHAP=0.002",
+          "None=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>Fare=7.775<br>SHAP=0.000",
+          "None=Plotcharsky, Mr. Vasil<br>Age=-999.0<br>Fare=7.8958<br>SHAP=-0.004",
+          "None=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>Fare=46.9<br>SHAP=-0.001",
+          "None=Sadlier, Mr. Matthew<br>Age=-999.0<br>Fare=7.7292<br>SHAP=-0.002",
+          "None=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>Fare=7.925<br>SHAP=-0.000",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>Fare=16.7<br>SHAP=-0.003",
+          "None=Niskanen, Mr. Juha<br>Age=39.0<br>Fare=7.925<br>SHAP=0.006",
+          "None=Minahan, Miss. Daisy E<br>Age=33.0<br>Fare=90.0<br>SHAP=0.001",
+          "None=Matthews, Mr. William John<br>Age=30.0<br>Fare=13.0<br>SHAP=-0.002",
+          "None=Charters, Mr. David<br>Age=21.0<br>Fare=7.7333<br>SHAP=-0.000",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=19.0<br>Fare=26.0<br>SHAP=-0.000",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>Fare=26.25<br>SHAP=-0.000",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Age=-999.0<br>Fare=8.1125<br>SHAP=-0.004",
+          "None=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>Fare=30.5<br>SHAP=0.001",
+          "None=Anderson, Mr. Harry<br>Age=48.0<br>Fare=26.55<br>SHAP=0.001",
+          "None=Milling, Mr. Jacob Christian<br>Age=48.0<br>Fare=13.0<br>SHAP=-0.002",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>Fare=27.75<br>SHAP=0.001",
+          "None=Karlsson, Mr. Nils August<br>Age=22.0<br>Fare=7.5208<br>SHAP=-0.000",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Age=-999.0<br>Fare=0.0<br>SHAP=-0.005",
+          "None=Bishop, Mr. Dickinson H<br>Age=25.0<br>Fare=91.0792<br>SHAP=-0.000",
+          "None=Windelov, Mr. Einar<br>Age=21.0<br>Fare=7.25<br>SHAP=-0.000",
+          "None=Shellard, Mr. Frederick William<br>Age=-999.0<br>Fare=15.1<br>SHAP=0.003",
+          "None=Svensson, Mr. Olof<br>Age=24.0<br>Fare=7.7958<br>SHAP=-0.001",
+          "None=O'Sullivan, Miss. Bridget Mary<br>Age=-999.0<br>Fare=7.6292<br>SHAP=-0.000",
+          "None=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>Fare=9.5875<br>SHAP=0.000",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>Fare=108.9<br>SHAP=0.007",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=-999.0<br>Fare=26.55<br>SHAP=0.004",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=36.0<br>Fare=26.0<br>SHAP=0.002",
+          "None=Kassem, Mr. Fared<br>Age=-999.0<br>Fare=7.2292<br>SHAP=-0.002",
+          "None=Cacic, Miss. Marija<br>Age=30.0<br>Fare=8.6625<br>SHAP=-0.001",
+          "None=Hart, Miss. Eva Miriam<br>Age=7.0<br>Fare=26.25<br>SHAP=0.002",
+          "None=Butt, Major. Archibald Willingham<br>Age=45.0<br>Fare=26.55<br>SHAP=-0.000",
+          "None=Beane, Mr. Edward<br>Age=32.0<br>Fare=26.0<br>SHAP=0.000",
+          "None=Goldsmith, Mr. Frank John<br>Age=33.0<br>Fare=20.525<br>SHAP=-0.001",
+          "None=Ohman, Miss. Velin<br>Age=22.0<br>Fare=7.775<br>SHAP=-0.001",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>Fare=79.65<br>SHAP=0.004",
+          "None=Morrow, Mr. Thomas Rowan<br>Age=-999.0<br>Fare=7.75<br>SHAP=-0.002",
+          "None=Harris, Mr. George<br>Age=62.0<br>Fare=10.5<br>SHAP=0.003",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>Fare=51.4792<br>SHAP=0.004",
+          "None=Patchett, Mr. George<br>Age=19.0<br>Fare=14.5<br>SHAP=-0.002",
+          "None=Ross, Mr. John Hugo<br>Age=36.0<br>Fare=40.125<br>SHAP=0.003",
+          "None=Murdlin, Mr. Joseph<br>Age=-999.0<br>Fare=8.05<br>SHAP=-0.004",
+          "None=Bourke, Miss. Mary<br>Age=-999.0<br>Fare=7.75<br>SHAP=0.001",
+          "None=Boulos, Mr. Hanna<br>Age=-999.0<br>Fare=7.225<br>SHAP=-0.002",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Age=49.0<br>Fare=56.9292<br>SHAP=0.005",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=35.0<br>Fare=26.55<br>SHAP=0.003",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>Fare=15.55<br>SHAP=-0.002",
+          "None=Daniel, Mr. Robert Williams<br>Age=27.0<br>Fare=30.5<br>SHAP=-0.000",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>Fare=41.5792<br>SHAP=0.000",
+          "None=Shutes, Miss. Elizabeth W<br>Age=40.0<br>Fare=153.4625<br>SHAP=0.001",
+          "None=Jardin, Mr. Jose Neto<br>Age=-999.0<br>Fare=7.05<br>SHAP=-0.004",
+          "None=Horgan, Mr. John<br>Age=-999.0<br>Fare=7.75<br>SHAP=-0.002",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>Fare=16.1<br>SHAP=-0.002",
+          "None=Yasbeck, Mr. Antoni<br>Age=27.0<br>Fare=14.4542<br>SHAP=-0.002",
+          "None=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>Fare=7.8958<br>SHAP=0.000",
+          "None=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>Fare=7.0542<br>SHAP=-0.001",
+          "None=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>Fare=30.5<br>SHAP=0.001",
+          "None=Willey, Mr. Edward<br>Age=-999.0<br>Fare=7.55<br>SHAP=-0.004",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>Fare=7.55<br>SHAP=-0.001",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>Age=18.0<br>Fare=6.75<br>SHAP=-0.000",
+          "None=Eitemiller, Mr. George Floyd<br>Age=23.0<br>Fare=13.0<br>SHAP=-0.002",
+          "None=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>Fare=25.5875<br>SHAP=-0.003",
+          "None=Coleff, Mr. Peju<br>Age=36.0<br>Fare=7.4958<br>SHAP=-0.002",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>Fare=39.0<br>SHAP=0.002",
+          "None=Davidson, Mr. Thornton<br>Age=31.0<br>Fare=52.0<br>SHAP=-0.001",
+          "None=Turja, Miss. Anna Sofia<br>Age=18.0<br>Fare=9.8417<br>SHAP=-0.002",
+          "None=Hassab, Mr. Hammad<br>Age=27.0<br>Fare=76.7292<br>SHAP=-0.005",
+          "None=Goodwin, Mr. Charles Edward<br>Age=14.0<br>Fare=46.9<br>SHAP=0.001",
+          "None=Panula, Mr. Jaako Arnold<br>Age=14.0<br>Fare=39.6875<br>SHAP=-0.000",
+          "None=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>Fare=7.7958<br>SHAP=0.000",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>Fare=7.65<br>SHAP=0.002",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>Fare=227.525<br>SHAP=0.002",
+          "None=Hansen, Mr. Henrik Juul<br>Age=26.0<br>Fare=7.8542<br>SHAP=0.000",
+          "None=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>Fare=26.2875<br>SHAP=-0.002",
+          "None=Klaber, Mr. Herman<br>Age=-999.0<br>Fare=26.55<br>SHAP=0.005",
+          "None=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>Fare=52.0<br>SHAP=-0.001",
+          "None=Larsson, Mr. August Viktor<br>Age=29.0<br>Fare=9.4833<br>SHAP=-0.000",
+          "None=Greenberg, Mr. Samuel<br>Age=52.0<br>Fare=13.0<br>SHAP=-0.002",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>Age=27.0<br>Fare=10.5<br>SHAP=-0.001",
+          "None=McEvoy, Mr. Michael<br>Age=-999.0<br>Fare=15.5<br>SHAP=0.002",
+          "None=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>Fare=7.775<br>SHAP=-0.001",
+          "None=Gillespie, Mr. William Henry<br>Age=34.0<br>Fare=13.0<br>SHAP=-0.002",
+          "None=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>Fare=211.3375<br>SHAP=-0.000",
+          "None=Berriman, Mr. William John<br>Age=23.0<br>Fare=13.0<br>SHAP=-0.002",
+          "None=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>Fare=13.0<br>SHAP=-0.002",
+          "None=Williams, Mr. Leslie<br>Age=28.5<br>Fare=16.1<br>SHAP=-0.003",
+          "None=Ivanoff, Mr. Kanio<br>Age=-999.0<br>Fare=7.8958<br>SHAP=-0.004",
+          "None=McNamee, Mr. Neal<br>Age=24.0<br>Fare=16.1<br>SHAP=-0.004",
+          "None=Connaghton, Mr. Michael<br>Age=31.0<br>Fare=7.75<br>SHAP=-0.001",
+          "None=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>Fare=7.7958<br>SHAP=0.000",
+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>Fare=86.5<br>SHAP=0.001",
+          "None=Eklund, Mr. Hans Linus<br>Age=16.0<br>Fare=7.775<br>SHAP=-0.000",
+          "None=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>Fare=77.9583<br>SHAP=0.004",
+          "None=Moran, Mr. Daniel J<br>Age=-999.0<br>Fare=24.15<br>SHAP=-0.000",
+          "None=Lievens, Mr. Rene Aime<br>Age=24.0<br>Fare=9.5<br>SHAP=-0.001",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>Fare=211.3375<br>SHAP=0.005",
+          "None=Ayoub, Miss. Banoura<br>Age=13.0<br>Fare=7.2292<br>SHAP=0.001",
+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>Fare=57.0<br>SHAP=0.002",
+          "None=Johnston, Mr. Andrew G<br>Age=-999.0<br>Fare=23.45<br>SHAP=0.004",
+          "None=Ali, Mr. William<br>Age=25.0<br>Fare=7.05<br>SHAP=0.000",
+          "None=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>Fare=7.4958<br>SHAP=-0.001",
+          "None=Guggenheim, Mr. Benjamin<br>Age=46.0<br>Fare=79.2<br>SHAP=0.010",
+          "None=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>Fare=25.9292<br>SHAP=0.000",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>Fare=26.25<br>SHAP=0.001",
+          "None=Carter, Master. William Thornton II<br>Age=11.0<br>Fare=120.0<br>SHAP=0.006",
+          "None=Thomas, Master. Assad Alexander<br>Age=0.42<br>Fare=8.5167<br>SHAP=-0.001",
+          "None=Johansson, Mr. Karl Johan<br>Age=31.0<br>Fare=7.775<br>SHAP=0.000",
+          "None=Slemen, Mr. Richard James<br>Age=35.0<br>Fare=10.5<br>SHAP=-0.002",
+          "None=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>Fare=8.05<br>SHAP=0.000",
+          "None=McCormack, Mr. Thomas Joseph<br>Age=-999.0<br>Fare=7.75<br>SHAP=-0.002",
+          "None=Richards, Master. George Sibley<br>Age=0.83<br>Fare=18.75<br>SHAP=0.004",
+          "None=Mudd, Mr. Thomas Charles<br>Age=16.0<br>Fare=10.5<br>SHAP=-0.002",
+          "None=Lemberopolous, Mr. Peter L<br>Age=34.5<br>Fare=6.4375<br>SHAP=-0.002",
+          "None=Sage, Mr. Douglas Bullen<br>Age=-999.0<br>Fare=69.55<br>SHAP=0.000",
+          "None=Boulos, Miss. Nourelain<br>Age=9.0<br>Fare=15.2458<br>SHAP=0.003",
+          "None=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>Fare=9.35<br>SHAP=-0.002",
+          "None=Razi, Mr. Raihed<br>Age=-999.0<br>Fare=7.2292<br>SHAP=-0.002",
+          "None=Johnson, Master. Harold Theodor<br>Age=4.0<br>Fare=11.1333<br>SHAP=0.003",
+          "None=Carlsson, Mr. Frans Olof<br>Age=33.0<br>Fare=5.0<br>SHAP=-0.002",
+          "None=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>Fare=9.8458<br>SHAP=-0.001",
+          "None=Montvila, Rev. Juozas<br>Age=27.0<br>Fare=13.0<br>SHAP=-0.002"
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+         ]
+        }
+       ],
+       "layout": {
+        "hovermode": "closest",
+        "paper_bgcolor": "#fff",
+        "plot_bgcolor": "#fff",
+        "showlegend": false,
+        "template": {
+         "data": {
+          "scatter": [
+           {
+            "type": "scatter"
            }
-          },
-          "colorscale": [
-           [
-            0,
-            "rgb(0,0,255)"
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-            1,
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-          ],
-          "opacity": 0.3,
-          "showscale": true,
-          "size": 5
+          ]
+         }
+        },
+        "title": {
+         "text": "Interaction plot for Age and Fare"
+        },
+        "xaxis": {
+         "title": {
+          "text": "Age"
+         }
+        },
+        "yaxis": {
+         "title": {
+          "text": "SHAP value"
+         }
+        }
+       }
+      },
+      "text/html": [
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Gosta Leonard<br>Age=2.0<br>Fare=21.075<br>SHAP=0.003\", \"None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=27.0<br>Fare=11.1333<br>SHAP=-0.001\", \"None=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>Fare=30.0708<br>SHAP=0.001\", \"None=Saundercock, Mr. William Henry<br>Age=20.0<br>Fare=8.05<br>SHAP=0.000\", \"None=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=14.0<br>Fare=7.8542<br>SHAP=0.001\", \"None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=38.0<br>Fare=31.3875<br>SHAP=0.002\", \"None=Glynn, Miss. Mary Agatha<br>Age=-999.0<br>Fare=7.75<br>SHAP=-0.000\", \"None=Meyer, Mr. Edgar Joseph<br>Age=28.0<br>Fare=82.1708<br>SHAP=-0.004\", \"None=Kraeff, Mr. Theodor<br>Age=-999.0<br>Fare=7.8958<br>SHAP=-0.002\", \"None=Devaney, Miss. Margaret Delia<br>Age=19.0<br>Fare=7.8792<br>SHAP=-0.000\", \"None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=18.0<br>Fare=17.8<br>SHAP=-0.002\", \"None=Rugg, Miss. Emily<br>Age=21.0<br>Fare=10.5<br>SHAP=-0.001\", \"None=Harris, Mr. Henry Birkhardt<br>Age=45.0<br>Fare=83.475<br>SHAP=0.001\", \"None=Skoog, Master. Harald<br>Age=4.0<br>Fare=27.9<br>SHAP=0.001\", \"None=Kink, Mr. Vincenz<br>Age=26.0<br>Fare=8.6625<br>SHAP=0.000\", \"None=Hood, Mr. Ambrose Jr<br>Age=21.0<br>Fare=73.5<br>SHAP=0.000\", \"None=Ilett, Miss. Bertha<br>Age=17.0<br>Fare=10.5<br>SHAP=-0.001\", \"None=Ford, Mr. William Neal<br>Age=16.0<br>Fare=34.375<br>SHAP=-0.000\", \"None=Christmann, Mr. Emil<br>Age=29.0<br>Fare=8.05<br>SHAP=0.000\", \"None=Andreasson, Mr. Paul Edvin<br>Age=20.0<br>Fare=7.8542<br>SHAP=0.000\", \"None=Chaffee, Mr. Herbert Fuller<br>Age=46.0<br>Fare=61.175<br>SHAP=0.003\", \"None=Petroff, Mr. Pastcho (\\\"Pentcho\\\")<br>Age=-999.0<br>Fare=7.8958<br>SHAP=-0.004\", \"None=White, Mr. Richard Frasar<br>Age=21.0<br>Fare=77.2875<br>SHAP=0.001\", \"None=Rekic, Mr. Tido<br>Age=38.0<br>Fare=7.8958<br>SHAP=-0.001\", \"None=Moran, Miss. Bertha<br>Age=-999.0<br>Fare=24.15<br>SHAP=0.000\", \"None=Barton, Mr. David John<br>Age=22.0<br>Fare=8.05<br>SHAP=-0.001\", \"None=Jussila, Miss. Katriina<br>Age=20.0<br>Fare=9.825<br>SHAP=-0.002\", \"None=Pekoniemi, Mr. Edvard<br>Age=21.0<br>Fare=7.925<br>SHAP=-0.001\", \"None=Turpin, Mr. William John Robert<br>Age=29.0<br>Fare=21.0<br>SHAP=-0.003\", \"None=Moore, Mr. Leonard Charles<br>Age=-999.0<br>Fare=8.05<br>SHAP=-0.004\", \"None=Osen, Mr. Olaf Elon<br>Age=16.0<br>Fare=9.2167<br>SHAP=-0.000\", \"None=Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Age=9.0<br>Fare=34.375<br>SHAP=-0.001\", \"None=Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Age=36.5<br>Fare=26.0<br>SHAP=-0.000\", \"None=Bateman, Rev. Robert James<br>Age=51.0<br>Fare=12.525<br>SHAP=-0.001\", \"None=Meo, Mr. Alfonzo<br>Age=55.5<br>Fare=8.05<br>SHAP=0.002\", \"None=Cribb, Mr. John Hatfield<br>Age=44.0<br>Fare=16.1<br>SHAP=-0.003\", \"None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=-999.0<br>Fare=55.0<br>SHAP=0.001\", \"None=Van der hoef, Mr. Wyckoff<br>Age=61.0<br>Fare=33.5<br>SHAP=-0.005\", \"None=Sivola, Mr. Antti Wilhelm<br>Age=21.0<br>Fare=7.925<br>SHAP=-0.001\", \"None=Klasen, Mr. Klas Albin<br>Age=18.0<br>Fare=7.8542<br>SHAP=-0.004\", \"None=Rood, Mr. Hugh Roscoe<br>Age=-999.0<br>Fare=50.0<br>SHAP=0.004\", \"None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=19.0<br>Fare=7.8542<br>SHAP=-0.001\", \"None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>Fare=27.7208<br>SHAP=-0.003\", \"None=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>Fare=9.5<br>SHAP=0.000\", \"None=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>Fare=15.85<br>SHAP=-0.003\", \"None=Blank, Mr. Henry<br>Age=40.0<br>Fare=31.0<br>SHAP=0.000\", \"None=Ali, Mr. Ahmed<br>Age=24.0<br>Fare=7.05<br>SHAP=-0.001\", \"None=Green, Mr. George Henry<br>Age=51.0<br>Fare=8.05<br>SHAP=0.002\", \"None=Nenkoff, Mr. Christo<br>Age=-999.0<br>Fare=7.8958<br>SHAP=-0.004\", \"None=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>Fare=31.3875<br>SHAP=-0.000\", \"None=Harknett, Miss. Alice Phoebe<br>Age=-999.0<br>Fare=7.55<br>SHAP=-0.001\", \"None=Hunt, Mr. George Henry<br>Age=33.0<br>Fare=12.275<br>SHAP=-0.002\", \"None=Reed, Mr. James George<br>Age=-999.0<br>Fare=7.25<br>SHAP=-0.004\", \"None=Stead, Mr. William Thomas<br>Age=62.0<br>Fare=26.55<br>SHAP=-0.002\", \"None=Thorne, Mrs. Gertrude Maybelle<br>Age=-999.0<br>Fare=79.2<br>SHAP=-0.002\", \"None=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>Fare=26.0<br>SHAP=0.001\", \"None=Smith, Mr. Thomas<br>Age=-999.0<br>Fare=7.75<br>SHAP=-0.002\", \"None=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>Fare=31.3875<br>SHAP=-0.001\", \"None=Healy, Miss. Hanora \\\"Nora\\\"<br>Age=-999.0<br>Fare=7.75<br>SHAP=-0.000\", \"None=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>Fare=77.9583<br>SHAP=-0.001\", \"None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>Fare=20.25<br>SHAP=0.001\", \"None=Smith, Mr. Richard William<br>Age=-999.0<br>Fare=26.0<br>SHAP=0.003\", \"None=Connolly, Miss. Kate<br>Age=22.0<br>Fare=7.75<br>SHAP=-0.001\", \"None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>Fare=91.0792<br>SHAP=-0.000\", \"None=Levy, Mr. Rene Jacques<br>Age=36.0<br>Fare=12.875<br>SHAP=-0.003\", \"None=Lewy, Mr. Ervin G<br>Age=-999.0<br>Fare=27.7208<br>SHAP=0.004\", \"None=Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Age=-999.0<br>Fare=8.05<br>SHAP=-0.004\", \"None=Sage, Mr. George John Jr<br>Age=-999.0<br>Fare=69.55<br>SHAP=0.000\", \"None=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>Fare=6.2375<br>SHAP=0.004\", \"None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=-999.0<br>Fare=133.65<br>SHAP=0.002\", \"None=Denkoff, Mr. Mitto<br>Age=-999.0<br>Fare=7.8958<br>SHAP=-0.004\", \"None=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>Fare=134.5<br>SHAP=0.007\", \"None=Dimic, Mr. Jovan<br>Age=42.0<br>Fare=8.6625<br>SHAP=0.000\", \"None=del Carlo, Mr. Sebastiano<br>Age=29.0<br>Fare=27.7208<br>SHAP=-0.001\", \"None=Beavan, Mr. William Thomas<br>Age=19.0<br>Fare=8.05<br>SHAP=0.000\", \"None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=-999.0<br>Fare=82.1708<br>SHAP=-0.002\", \"None=Widener, Mr. Harry Elkins<br>Age=27.0<br>Fare=211.5<br>SHAP=0.002\", \"None=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>Fare=7.775<br>SHAP=0.000\", \"None=Plotcharsky, Mr. Vasil<br>Age=-999.0<br>Fare=7.8958<br>SHAP=-0.004\", \"None=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>Fare=46.9<br>SHAP=-0.001\", \"None=Sadlier, Mr. Matthew<br>Age=-999.0<br>Fare=7.7292<br>SHAP=-0.002\", \"None=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>Fare=7.925<br>SHAP=-0.000\", \"None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>Fare=16.7<br>SHAP=-0.003\", \"None=Niskanen, Mr. Juha<br>Age=39.0<br>Fare=7.925<br>SHAP=0.006\", \"None=Minahan, Miss. Daisy E<br>Age=33.0<br>Fare=90.0<br>SHAP=0.001\", \"None=Matthews, Mr. William John<br>Age=30.0<br>Fare=13.0<br>SHAP=-0.002\", \"None=Charters, Mr. David<br>Age=21.0<br>Fare=7.7333<br>SHAP=-0.000\", \"None=Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Age=19.0<br>Fare=26.0<br>SHAP=-0.000\", \"None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>Fare=26.25<br>SHAP=-0.000\", \"None=Johannesen-Bratthammer, Mr. Bernt<br>Age=-999.0<br>Fare=8.1125<br>SHAP=-0.004\", \"None=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>Fare=30.5<br>SHAP=0.001\", \"None=Anderson, Mr. Harry<br>Age=48.0<br>Fare=26.55<br>SHAP=0.001\", \"None=Milling, Mr. Jacob Christian<br>Age=48.0<br>Fare=13.0<br>SHAP=-0.002\", \"None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>Fare=27.75<br>SHAP=0.001\", \"None=Karlsson, Mr. Nils August<br>Age=22.0<br>Fare=7.5208<br>SHAP=-0.000\", \"None=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Age=-999.0<br>Fare=0.0<br>SHAP=-0.005\", \"None=Bishop, Mr. Dickinson H<br>Age=25.0<br>Fare=91.0792<br>SHAP=-0.000\", \"None=Windelov, Mr. Einar<br>Age=21.0<br>Fare=7.25<br>SHAP=-0.000\", \"None=Shellard, Mr. Frederick William<br>Age=-999.0<br>Fare=15.1<br>SHAP=0.003\", \"None=Svensson, Mr. Olof<br>Age=24.0<br>Fare=7.7958<br>SHAP=-0.001\", \"None=O'Sullivan, Miss. Bridget Mary<br>Age=-999.0<br>Fare=7.6292<br>SHAP=-0.000\", \"None=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>Fare=9.5875<br>SHAP=0.000\", \"None=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>Fare=108.9<br>SHAP=0.007\", \"None=Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Age=-999.0<br>Fare=26.55<br>SHAP=0.004\", \"None=Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Age=36.0<br>Fare=26.0<br>SHAP=0.002\", \"None=Kassem, Mr. Fared<br>Age=-999.0<br>Fare=7.2292<br>SHAP=-0.002\", \"None=Cacic, Miss. Marija<br>Age=30.0<br>Fare=8.6625<br>SHAP=-0.001\", \"None=Hart, Miss. Eva Miriam<br>Age=7.0<br>Fare=26.25<br>SHAP=0.002\", \"None=Butt, Major. Archibald Willingham<br>Age=45.0<br>Fare=26.55<br>SHAP=-0.000\", \"None=Beane, Mr. Edward<br>Age=32.0<br>Fare=26.0<br>SHAP=0.000\", \"None=Goldsmith, Mr. Frank John<br>Age=33.0<br>Fare=20.525<br>SHAP=-0.001\", \"None=Ohman, Miss. Velin<br>Age=22.0<br>Fare=7.775<br>SHAP=-0.001\", \"None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>Fare=79.65<br>SHAP=0.004\", \"None=Morrow, Mr. Thomas Rowan<br>Age=-999.0<br>Fare=7.75<br>SHAP=-0.002\", \"None=Harris, Mr. George<br>Age=62.0<br>Fare=10.5<br>SHAP=0.003\", \"None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>Fare=51.4792<br>SHAP=0.004\", \"None=Patchett, Mr. George<br>Age=19.0<br>Fare=14.5<br>SHAP=-0.002\", \"None=Ross, Mr. John Hugo<br>Age=36.0<br>Fare=40.125<br>SHAP=0.003\", \"None=Murdlin, Mr. Joseph<br>Age=-999.0<br>Fare=8.05<br>SHAP=-0.004\", \"None=Bourke, Miss. Mary<br>Age=-999.0<br>Fare=7.75<br>SHAP=0.001\", \"None=Boulos, Mr. Hanna<br>Age=-999.0<br>Fare=7.225<br>SHAP=-0.002\", \"None=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Age=49.0<br>Fare=56.9292<br>SHAP=0.005\", \"None=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Age=35.0<br>Fare=26.55<br>SHAP=0.003\", \"None=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>Fare=15.55<br>SHAP=-0.002\", \"None=Daniel, Mr. Robert Williams<br>Age=27.0<br>Fare=30.5<br>SHAP=-0.000\", \"None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>Fare=41.5792<br>SHAP=0.000\", \"None=Shutes, Miss. Elizabeth W<br>Age=40.0<br>Fare=153.4625<br>SHAP=0.001\", \"None=Jardin, Mr. Jose Neto<br>Age=-999.0<br>Fare=7.05<br>SHAP=-0.004\", \"None=Horgan, Mr. John<br>Age=-999.0<br>Fare=7.75<br>SHAP=-0.002\", \"None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>Fare=16.1<br>SHAP=-0.002\", \"None=Yasbeck, Mr. Antoni<br>Age=27.0<br>Fare=14.4542<br>SHAP=-0.002\", \"None=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>Fare=7.8958<br>SHAP=0.000\", \"None=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>Fare=7.0542<br>SHAP=-0.001\", \"None=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>Fare=30.5<br>SHAP=0.001\", \"None=Willey, Mr. Edward<br>Age=-999.0<br>Fare=7.55<br>SHAP=-0.004\", \"None=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>Fare=7.55<br>SHAP=-0.001\", \"None=Hegarty, Miss. Hanora \\\"Nora\\\"<br>Age=18.0<br>Fare=6.75<br>SHAP=-0.000\", \"None=Eitemiller, Mr. George Floyd<br>Age=23.0<br>Fare=13.0<br>SHAP=-0.002\", \"None=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>Fare=25.5875<br>SHAP=-0.003\", \"None=Coleff, Mr. Peju<br>Age=36.0<br>Fare=7.4958<br>SHAP=-0.002\", \"None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>Fare=39.0<br>SHAP=0.002\", \"None=Davidson, Mr. Thornton<br>Age=31.0<br>Fare=52.0<br>SHAP=-0.001\", \"None=Turja, Miss. Anna Sofia<br>Age=18.0<br>Fare=9.8417<br>SHAP=-0.002\", \"None=Hassab, Mr. Hammad<br>Age=27.0<br>Fare=76.7292<br>SHAP=-0.005\", \"None=Goodwin, Mr. Charles Edward<br>Age=14.0<br>Fare=46.9<br>SHAP=0.001\", \"None=Panula, Mr. Jaako Arnold<br>Age=14.0<br>Fare=39.6875<br>SHAP=-0.000\", \"None=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>Fare=7.7958<br>SHAP=0.000\", \"None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>Fare=7.65<br>SHAP=0.002\", \"None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>Fare=227.525<br>SHAP=0.002\", \"None=Hansen, Mr. Henrik Juul<br>Age=26.0<br>Fare=7.8542<br>SHAP=0.000\", \"None=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>Fare=26.2875<br>SHAP=-0.002\", \"None=Klaber, Mr. Herman<br>Age=-999.0<br>Fare=26.55<br>SHAP=0.005\", \"None=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>Fare=52.0<br>SHAP=-0.001\", \"None=Larsson, Mr. August Viktor<br>Age=29.0<br>Fare=9.4833<br>SHAP=-0.000\", \"None=Greenberg, Mr. Samuel<br>Age=52.0<br>Fare=13.0<br>SHAP=-0.002\", \"None=Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Age=27.0<br>Fare=10.5<br>SHAP=-0.001\", \"None=McEvoy, Mr. Michael<br>Age=-999.0<br>Fare=15.5<br>SHAP=0.002\", \"None=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>Fare=7.775<br>SHAP=-0.001\", \"None=Gillespie, Mr. William Henry<br>Age=34.0<br>Fare=13.0<br>SHAP=-0.002\", \"None=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>Fare=211.3375<br>SHAP=-0.000\", \"None=Berriman, Mr. William John<br>Age=23.0<br>Fare=13.0<br>SHAP=-0.002\", \"None=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>Fare=13.0<br>SHAP=-0.002\", \"None=Williams, Mr. Leslie<br>Age=28.5<br>Fare=16.1<br>SHAP=-0.003\", \"None=Ivanoff, Mr. Kanio<br>Age=-999.0<br>Fare=7.8958<br>SHAP=-0.004\", \"None=McNamee, Mr. Neal<br>Age=24.0<br>Fare=16.1<br>SHAP=-0.004\", \"None=Connaghton, Mr. Michael<br>Age=31.0<br>Fare=7.75<br>SHAP=-0.001\", \"None=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>Fare=7.7958<br>SHAP=0.000\", \"None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>Fare=86.5<br>SHAP=0.001\", \"None=Eklund, Mr. Hans Linus<br>Age=16.0<br>Fare=7.775<br>SHAP=-0.000\", \"None=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>Fare=77.9583<br>SHAP=0.004\", \"None=Moran, Mr. Daniel J<br>Age=-999.0<br>Fare=24.15<br>SHAP=-0.000\", \"None=Lievens, Mr. Rene Aime<br>Age=24.0<br>Fare=9.5<br>SHAP=-0.001\", \"None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>Fare=211.3375<br>SHAP=0.005\", \"None=Ayoub, Miss. Banoura<br>Age=13.0<br>Fare=7.2292<br>SHAP=0.001\", \"None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>Fare=57.0<br>SHAP=0.002\", \"None=Johnston, Mr. Andrew G<br>Age=-999.0<br>Fare=23.45<br>SHAP=0.004\", \"None=Ali, Mr. William<br>Age=25.0<br>Fare=7.05<br>SHAP=0.000\", \"None=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>Fare=7.4958<br>SHAP=-0.001\", \"None=Guggenheim, Mr. Benjamin<br>Age=46.0<br>Fare=79.2<br>SHAP=0.010\", \"None=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>Fare=25.9292<br>SHAP=0.000\", \"None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>Fare=26.25<br>SHAP=0.001\", \"None=Carter, Master. William Thornton II<br>Age=11.0<br>Fare=120.0<br>SHAP=0.006\", \"None=Thomas, Master. Assad Alexander<br>Age=0.42<br>Fare=8.5167<br>SHAP=-0.001\", \"None=Johansson, Mr. Karl Johan<br>Age=31.0<br>Fare=7.775<br>SHAP=0.000\", \"None=Slemen, Mr. Richard James<br>Age=35.0<br>Fare=10.5<br>SHAP=-0.002\", \"None=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>Fare=8.05<br>SHAP=0.000\", \"None=McCormack, Mr. Thomas Joseph<br>Age=-999.0<br>Fare=7.75<br>SHAP=-0.002\", \"None=Richards, Master. George Sibley<br>Age=0.83<br>Fare=18.75<br>SHAP=0.004\", \"None=Mudd, Mr. Thomas Charles<br>Age=16.0<br>Fare=10.5<br>SHAP=-0.002\", \"None=Lemberopolous, Mr. Peter L<br>Age=34.5<br>Fare=6.4375<br>SHAP=-0.002\", \"None=Sage, Mr. Douglas Bullen<br>Age=-999.0<br>Fare=69.55<br>SHAP=0.000\", \"None=Boulos, Miss. Nourelain<br>Age=9.0<br>Fare=15.2458<br>SHAP=0.003\", \"None=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>Fare=9.35<br>SHAP=-0.002\", \"None=Razi, Mr. Raihed<br>Age=-999.0<br>Fare=7.2292<br>SHAP=-0.002\", \"None=Johnson, Master. Harold Theodor<br>Age=4.0<br>Fare=11.1333<br>SHAP=0.003\", \"None=Carlsson, Mr. Frans Olof<br>Age=33.0<br>Fare=5.0<br>SHAP=-0.002\", \"None=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>Fare=9.8458<br>SHAP=-0.001\", \"None=Montvila, Rev. Juozas<br>Age=27.0<br>Fare=13.0<br>SHAP=-0.002\"], \"type\": \"scattergl\", \"x\": [38.0, 35.0, 2.0, 27.0, 14.0, 20.0, 14.0, 38.0, null, 28.0, null, 19.0, 18.0, 21.0, 45.0, 4.0, 26.0, 21.0, 17.0, 16.0, 29.0, 20.0, 46.0, null, 21.0, 38.0, null, 22.0, 20.0, 21.0, 29.0, null, 16.0, 9.0, 36.5, 51.0, 55.5, 44.0, null, 61.0, 21.0, 18.0, null, 19.0, 44.0, 28.0, 32.0, 40.0, 24.0, 51.0, null, 5.0, null, 33.0, null, 62.0, null, 50.0, null, 3.0, null, 63.0, 35.0, null, 22.0, 19.0, 36.0, null, null, null, 61.0, null, null, 41.0, 42.0, 29.0, 19.0, null, 27.0, 19.0, null, 1.0, null, 28.0, 24.0, 39.0, 33.0, 30.0, 21.0, 19.0, 45.0, null, 52.0, 48.0, 48.0, 33.0, 22.0, null, 25.0, 21.0, null, 24.0, null, 37.0, 18.0, null, 36.0, null, 30.0, 7.0, 45.0, 32.0, 33.0, 22.0, 39.0, null, 62.0, 53.0, 19.0, 36.0, null, null, null, 49.0, 35.0, 36.0, 27.0, 22.0, 40.0, null, null, 26.0, 27.0, 26.0, 51.0, 32.0, null, 23.0, 18.0, 23.0, 47.0, 36.0, 40.0, 31.0, 18.0, 27.0, 14.0, 14.0, 18.0, 42.0, 18.0, 26.0, 42.0, null, 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-0.0018414523081431394]}],                        {\"hovermode\": \"closest\", \"paper_bgcolor\": \"#fff\", \"plot_bgcolor\": \"#fff\", \"showlegend\": false, \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Interaction plot for Age and Fare\"}, \"xaxis\": {\"title\": {\"text\": \"Age\"}}, \"yaxis\": {\"title\": {\"text\": \"SHAP value\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('84d3fa17-cb46-4ea5-b7f9-088fd52755af');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "explainer.plot_interaction(\"Age\", \"Fare\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## partial dependence plots (pdp)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Plot average general partial dependence plot with ice lines for specific observations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T15:59:18.202073Z",
+     "start_time": "2021-01-20T15:59:17.995968Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "line": {
+          "color": "grey",
+          "width": 4
          },
-         "mode": "markers",
-         "name": "No_of_parents_plus_children_on_board",
-         "opacity": 0.8,
+         "mode": "lines+markers",
+         "name": "average prediction <br>for different values of <br>Fare",
+         "type": "scatter",
+         "x": [
+          0,
+          7.6588,
+          7.8542,
+          8.05,
+          10.5,
+          16.1,
+          26.25,
+          33.030555555555544,
+          76.37039999999999,
+          227.525
+         ],
+         "y": [
+          32.55,
+          33.58,
+          33.76,
+          33.47,
+          34.82,
+          37.6,
+          37.59,
+          38.02,
+          46.89,
+          47.09
+         ]
+        },
+        {
+         "hoverinfo": "skip",
+         "line": {
+          "color": "grey"
+         },
+         "mode": "lines",
+         "opacity": 0.1,
          "showlegend": false,
-         "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>No_of_parents_plus_children_on_board=0<br>shap=0.004",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Palsson, Master. Gosta Leonard<br>No_of_parents_plus_children_on_board=1<br>shap=0.004",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>No_of_parents_plus_children_on_board=2<br>shap=-0.028",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
-          "index=Saundercock, Mr. William Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>No_of_parents_plus_children_on_board=0<br>shap=0.006",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>No_of_parents_plus_children_on_board=5<br>shap=-0.038",
-          "index=Glynn, Miss. Mary Agatha<br>No_of_parents_plus_children_on_board=0<br>shap=0.008",
-          "index=Meyer, Mr. Edgar Joseph<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Kraeff, Mr. Theodor<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
-          "index=Devaney, Miss. Margaret Delia<br>No_of_parents_plus_children_on_board=0<br>shap=0.006",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>No_of_parents_plus_children_on_board=0<br>shap=0.006",
-          "index=Rugg, Miss. Emily<br>No_of_parents_plus_children_on_board=0<br>shap=0.004",
-          "index=Harris, Mr. Henry Birkhardt<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Skoog, Master. Harald<br>No_of_parents_plus_children_on_board=2<br>shap=0.008",
-          "index=Kink, Mr. Vincenz<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Hood, Mr. Ambrose Jr<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Ilett, Miss. Bertha<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
-          "index=Ford, Mr. William Neal<br>No_of_parents_plus_children_on_board=3<br>shap=0.009",
-          "index=Christmann, Mr. Emil<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Andreasson, Mr. Paul Edvin<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Chaffee, Mr. Herbert Fuller<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=White, Mr. Richard Frasar<br>No_of_parents_plus_children_on_board=1<br>shap=-0.001",
-          "index=Rekic, Mr. Tido<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Moran, Miss. Bertha<br>No_of_parents_plus_children_on_board=0<br>shap=0.007",
-          "index=Barton, Mr. David John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Jussila, Miss. Katriina<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
-          "index=Pekoniemi, Mr. Edvard<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Turpin, Mr. William John Robert<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Moore, Mr. Leonard Charles<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Osen, Mr. Olaf Elon<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>No_of_parents_plus_children_on_board=2<br>shap=-0.027",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>No_of_parents_plus_children_on_board=2<br>shap=0.01",
-          "index=Bateman, Rev. Robert James<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Meo, Mr. Alfonzo<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Cribb, Mr. John Hatfield<br>No_of_parents_plus_children_on_board=1<br>shap=0.003",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.007",
-          "index=Van der hoef, Mr. Wyckoff<br>No_of_parents_plus_children_on_board=0<br>shap=0.0",
-          "index=Sivola, Mr. Antti Wilhelm<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Klasen, Mr. Klas Albin<br>No_of_parents_plus_children_on_board=1<br>shap=0.003",
-          "index=Rood, Mr. Hugh Roscoe<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>No_of_parents_plus_children_on_board=0<br>shap=0.004",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Backstrom, Mr. Karl Alfred<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Blank, Mr. Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Ali, Mr. Ahmed<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Green, Mr. George Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Nenkoff, Mr. Christo<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Asplund, Miss. Lillian Gertrud<br>No_of_parents_plus_children_on_board=2<br>shap=-0.021",
-          "index=Harknett, Miss. Alice Phoebe<br>No_of_parents_plus_children_on_board=0<br>shap=0.007",
-          "index=Hunt, Mr. George Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Reed, Mr. James George<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Stead, Mr. William Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>No_of_parents_plus_children_on_board=0<br>shap=0.006",
-          "index=Parrish, Mrs. (Lutie Davis)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.007",
-          "index=Smith, Mr. Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
-          "index=Asplund, Master. Edvin Rojj Felix<br>No_of_parents_plus_children_on_board=2<br>shap=0.01",
-          "index=Healy, Miss. Hanora \"Nora\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.008",
-          "index=Andrews, Miss. Kornelia Theodosia<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.01",
-          "index=Smith, Mr. Richard William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Connolly, Miss. Kate<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Levy, Mr. Rene Jacques<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Lewy, Mr. Ervin G<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Sage, Mr. George John Jr<br>No_of_parents_plus_children_on_board=2<br>shap=0.008",
-          "index=Nysveen, Mr. Johan Hansen<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_parents_plus_children_on_board=0<br>shap=0.007",
-          "index=Denkoff, Mr. Mitto<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Burns, Miss. Elizabeth Margaret<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Dimic, Mr. Jovan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=del Carlo, Mr. Sebastiano<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Beavan, Mr. William Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_parents_plus_children_on_board=0<br>shap=0.006",
-          "index=Widener, Mr. Harry Elkins<br>No_of_parents_plus_children_on_board=2<br>shap=0.008",
-          "index=Gustafsson, Mr. Karl Gideon<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Plotcharsky, Mr. Vasil<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Goodwin, Master. Sidney Leonard<br>No_of_parents_plus_children_on_board=2<br>shap=0.01",
-          "index=Sadlier, Mr. Matthew<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
-          "index=Gustafsson, Mr. Johan Birger<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_parents_plus_children_on_board=2<br>shap=-0.02",
-          "index=Niskanen, Mr. Juha<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Minahan, Miss. Daisy E<br>No_of_parents_plus_children_on_board=0<br>shap=0.004",
-          "index=Matthews, Mr. William John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Charters, Mr. David<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.006",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Peuchen, Major. Arthur Godfrey<br>No_of_parents_plus_children_on_board=0<br>shap=-0.0",
-          "index=Anderson, Mr. Harry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Milling, Mr. Jacob Christian<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_parents_plus_children_on_board=2<br>shap=-0.018",
-          "index=Karlsson, Mr. Nils August<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Bishop, Mr. Dickinson H<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Windelov, Mr. Einar<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Shellard, Mr. Frederick William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Svensson, Mr. Olof<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=O'Sullivan, Miss. Bridget Mary<br>No_of_parents_plus_children_on_board=0<br>shap=0.008",
-          "index=Laitinen, Miss. Kristina Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_parents_plus_children_on_board=0<br>shap=0.004",
-          "index=Kassem, Mr. Fared<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
-          "index=Cacic, Miss. Marija<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
-          "index=Hart, Miss. Eva Miriam<br>No_of_parents_plus_children_on_board=2<br>shap=-0.031",
-          "index=Butt, Major. Archibald Willingham<br>No_of_parents_plus_children_on_board=0<br>shap=-0.0",
-          "index=Beane, Mr. Edward<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Goldsmith, Mr. Frank John<br>No_of_parents_plus_children_on_board=1<br>shap=0.003",
-          "index=Ohman, Miss. Velin<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.001",
-          "index=Morrow, Mr. Thomas Rowan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
-          "index=Harris, Mr. George<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Patchett, Mr. George<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Ross, Mr. John Hugo<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Murdlin, Mr. Joseph<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Bourke, Miss. Mary<br>No_of_parents_plus_children_on_board=2<br>shap=-0.043",
-          "index=Boulos, Mr. Hanna<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Lindell, Mr. Edvard Bengtsson<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Daniel, Mr. Robert Williams<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_parents_plus_children_on_board=2<br>shap=-0.018",
-          "index=Shutes, Miss. Elizabeth W<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Jardin, Mr. Jose Neto<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Horgan, Mr. John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_parents_plus_children_on_board=0<br>shap=0.006",
-          "index=Yasbeck, Mr. Antoni<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Bostandyeff, Mr. Guentcho<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Lundahl, Mr. Johan Svensson<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Stahelin-Maeglin, Dr. Max<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Willey, Mr. Edward<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.006",
-          "index=Eitemiller, Mr. George Floyd<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Colley, Mr. Edward Pomeroy<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Coleff, Mr. Peju<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.007",
-          "index=Davidson, Mr. Thornton<br>No_of_parents_plus_children_on_board=0<br>shap=0.001",
-          "index=Turja, Miss. Anna Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=0.005",
-          "index=Hassab, Mr. Hammad<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Goodwin, Mr. Charles Edward<br>No_of_parents_plus_children_on_board=2<br>shap=0.006",
-          "index=Panula, Mr. Jaako Arnold<br>No_of_parents_plus_children_on_board=1<br>shap=0.001",
-          "index=Fischer, Mr. Eberhard Thelander<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_parents_plus_children_on_board=0<br>shap=-0.004",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_parents_plus_children_on_board=0<br>shap=0.004",
-          "index=Hansen, Mr. Henrik Juul<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Calderhead, Mr. Edward Pennington<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Klaber, Mr. Herman<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Taylor, Mr. Elmer Zebley<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Larsson, Mr. August Viktor<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Greenberg, Mr. Samuel<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=McEvoy, Mr. Michael<br>No_of_parents_plus_children_on_board=0<br>shap=-0.005",
-          "index=Johnson, Mr. Malkolm Joackim<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Gillespie, Mr. William Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Allen, Miss. Elisabeth Walton<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Berriman, Mr. William John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Troupiansky, Mr. Moses Aaron<br>No_of_parents_plus_children_on_board=0<br>shap=-0.001",
-          "index=Williams, Mr. Leslie<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Ivanoff, Mr. Kanio<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=McNamee, Mr. Neal<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Connaghton, Mr. Michael<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Carlsson, Mr. August Sigfrid<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Eklund, Mr. Hans Linus<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>No_of_parents_plus_children_on_board=0<br>shap=0.003",
-          "index=Moran, Mr. Daniel J<br>No_of_parents_plus_children_on_board=0<br>shap=-0.003",
-          "index=Lievens, Mr. Rene Aime<br>No_of_parents_plus_children_on_board=0<br>shap=-0.002",
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-         "name": "No_of_relatives_on_board",
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-         "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>No_of_relatives_on_board=1<br>shap=0.001",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>No_of_relatives_on_board=1<br>shap=0.005",
-          "index=Palsson, Master. Gosta Leonard<br>No_of_relatives_on_board=4<br>shap=0.019",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>No_of_relatives_on_board=2<br>shap=-0.001",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>No_of_relatives_on_board=1<br>shap=0.002",
-          "index=Saundercock, Mr. William Henry<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>No_of_relatives_on_board=0<br>shap=0.008",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>No_of_relatives_on_board=6<br>shap=-0.042",
-          "index=Glynn, Miss. Mary Agatha<br>No_of_relatives_on_board=0<br>shap=0.01",
-          "index=Meyer, Mr. Edgar Joseph<br>No_of_relatives_on_board=1<br>shap=-0.002",
-          "index=Kraeff, Mr. Theodor<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Devaney, Miss. Margaret Delia<br>No_of_relatives_on_board=0<br>shap=0.008",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>No_of_relatives_on_board=1<br>shap=0.009",
-          "index=Rugg, Miss. Emily<br>No_of_relatives_on_board=0<br>shap=0.005",
-          "index=Harris, Mr. Henry Birkhardt<br>No_of_relatives_on_board=1<br>shap=-0.006",
-          "index=Skoog, Master. Harald<br>No_of_relatives_on_board=5<br>shap=0.018",
-          "index=Kink, Mr. Vincenz<br>No_of_relatives_on_board=2<br>shap=-0.004",
-          "index=Hood, Mr. Ambrose Jr<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Ilett, Miss. Bertha<br>No_of_relatives_on_board=0<br>shap=0.005",
-          "index=Ford, Mr. William Neal<br>No_of_relatives_on_board=4<br>shap=0.016",
-          "index=Christmann, Mr. Emil<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Andreasson, Mr. Paul Edvin<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Chaffee, Mr. Herbert Fuller<br>No_of_relatives_on_board=1<br>shap=-0.006",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=White, Mr. Richard Frasar<br>No_of_relatives_on_board=1<br>shap=-0.004",
-          "index=Rekic, Mr. Tido<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Moran, Miss. Bertha<br>No_of_relatives_on_board=1<br>shap=0.003",
-          "index=Barton, Mr. David John<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Jussila, Miss. Katriina<br>No_of_relatives_on_board=1<br>shap=0.005",
-          "index=Pekoniemi, Mr. Edvard<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Turpin, Mr. William John Robert<br>No_of_relatives_on_board=1<br>shap=-0.009",
-          "index=Moore, Mr. Leonard Charles<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Osen, Mr. Olaf Elon<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>No_of_relatives_on_board=4<br>shap=-0.039",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>No_of_relatives_on_board=2<br>shap=-0.0",
-          "index=Bateman, Rev. Robert James<br>No_of_relatives_on_board=0<br>shap=0.0",
-          "index=Meo, Mr. Alfonzo<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Cribb, Mr. John Hatfield<br>No_of_relatives_on_board=1<br>shap=-0.009",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>No_of_relatives_on_board=1<br>shap=0.002",
-          "index=Van der hoef, Mr. Wyckoff<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Sivola, Mr. Antti Wilhelm<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Klasen, Mr. Klas Albin<br>No_of_relatives_on_board=2<br>shap=-0.002",
-          "index=Rood, Mr. Hugh Roscoe<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>No_of_relatives_on_board=1<br>shap=0.004",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>No_of_relatives_on_board=0<br>shap=0.006",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Backstrom, Mr. Karl Alfred<br>No_of_relatives_on_board=1<br>shap=-0.008",
-          "index=Blank, Mr. Henry<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Ali, Mr. Ahmed<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Green, Mr. George Henry<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Nenkoff, Mr. Christo<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Asplund, Miss. Lillian Gertrud<br>No_of_relatives_on_board=6<br>shap=-0.039",
-          "index=Harknett, Miss. Alice Phoebe<br>No_of_relatives_on_board=0<br>shap=0.009",
-          "index=Hunt, Mr. George Henry<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Reed, Mr. James George<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Stead, Mr. William Thomas<br>No_of_relatives_on_board=0<br>shap=0.001",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>No_of_relatives_on_board=0<br>shap=0.007",
-          "index=Parrish, Mrs. (Lutie Davis)<br>No_of_relatives_on_board=1<br>shap=0.009",
-          "index=Smith, Mr. Thomas<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Asplund, Master. Edvin Rojj Felix<br>No_of_relatives_on_board=6<br>shap=0.019",
-          "index=Healy, Miss. Hanora \"Nora\"<br>No_of_relatives_on_board=0<br>shap=0.01",
-          "index=Andrews, Miss. Kornelia Theodosia<br>No_of_relatives_on_board=1<br>shap=0.003",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_relatives_on_board=2<br>shap=0.002",
-          "index=Smith, Mr. Richard William<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Connolly, Miss. Kate<br>No_of_relatives_on_board=0<br>shap=0.008",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_relatives_on_board=1<br>shap=-0.003",
-          "index=Levy, Mr. Rene Jacques<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Lewy, Mr. Ervin G<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Sage, Mr. George John Jr<br>No_of_relatives_on_board=10<br>shap=0.019",
-          "index=Nysveen, Mr. Johan Hansen<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_relatives_on_board=1<br>shap=0.006",
-          "index=Denkoff, Mr. Mitto<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Burns, Miss. Elizabeth Margaret<br>No_of_relatives_on_board=0<br>shap=0.005",
-          "index=Dimic, Mr. Jovan<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=del Carlo, Mr. Sebastiano<br>No_of_relatives_on_board=1<br>shap=-0.004",
-          "index=Beavan, Mr. William Thomas<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_relatives_on_board=1<br>shap=0.001",
-          "index=Widener, Mr. Harry Elkins<br>No_of_relatives_on_board=2<br>shap=-0.001",
-          "index=Gustafsson, Mr. Karl Gideon<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Plotcharsky, Mr. Vasil<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Goodwin, Master. Sidney Leonard<br>No_of_relatives_on_board=7<br>shap=0.018",
-          "index=Sadlier, Mr. Matthew<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Gustafsson, Mr. Johan Birger<br>No_of_relatives_on_board=2<br>shap=-0.004",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_relatives_on_board=2<br>shap=-0.003",
-          "index=Niskanen, Mr. Juha<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Minahan, Miss. Daisy E<br>No_of_relatives_on_board=1<br>shap=0.004",
-          "index=Matthews, Mr. William John<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Charters, Mr. David<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_relatives_on_board=0<br>shap=0.007",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_relatives_on_board=2<br>shap=0.003",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Peuchen, Major. Arthur Godfrey<br>No_of_relatives_on_board=0<br>shap=0.001",
-          "index=Anderson, Mr. Harry<br>No_of_relatives_on_board=0<br>shap=0.001",
-          "index=Milling, Mr. Jacob Christian<br>No_of_relatives_on_board=0<br>shap=0.0",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_relatives_on_board=3<br>shap=0.005",
-          "index=Karlsson, Mr. Nils August<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Bishop, Mr. Dickinson H<br>No_of_relatives_on_board=1<br>shap=-0.0",
-          "index=Windelov, Mr. Einar<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Shellard, Mr. Frederick William<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Svensson, Mr. Olof<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=O'Sullivan, Miss. Bridget Mary<br>No_of_relatives_on_board=0<br>shap=0.01",
-          "index=Laitinen, Miss. Kristina Sofia<br>No_of_relatives_on_board=0<br>shap=0.007",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>No_of_relatives_on_board=1<br>shap=-0.001",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_relatives_on_board=1<br>shap=0.009",
-          "index=Kassem, Mr. Fared<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Cacic, Miss. Marija<br>No_of_relatives_on_board=0<br>shap=0.008",
-          "index=Hart, Miss. Eva Miriam<br>No_of_relatives_on_board=2<br>shap=-0.001",
-          "index=Butt, Major. Archibald Willingham<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Beane, Mr. Edward<br>No_of_relatives_on_board=1<br>shap=-0.009",
-          "index=Goldsmith, Mr. Frank John<br>No_of_relatives_on_board=2<br>shap=-0.005",
-          "index=Ohman, Miss. Velin<br>No_of_relatives_on_board=0<br>shap=0.007",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_relatives_on_board=2<br>shap=0.003",
-          "index=Morrow, Mr. Thomas Rowan<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Harris, Mr. George<br>No_of_relatives_on_board=0<br>shap=0.001",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_relatives_on_board=2<br>shap=0.003",
-          "index=Patchett, Mr. George<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Ross, Mr. John Hugo<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Murdlin, Mr. Joseph<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Bourke, Miss. Mary<br>No_of_relatives_on_board=2<br>shap=-0.01",
-          "index=Boulos, Mr. Hanna<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_relatives_on_board=1<br>shap=-0.001",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Lindell, Mr. Edvard Bengtsson<br>No_of_relatives_on_board=1<br>shap=-0.008",
-          "index=Daniel, Mr. Robert Williams<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_relatives_on_board=3<br>shap=0.003",
-          "index=Shutes, Miss. Elizabeth W<br>No_of_relatives_on_board=0<br>shap=0.005",
-          "index=Jardin, Mr. Jose Neto<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Horgan, Mr. John<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_relatives_on_board=1<br>shap=0.008",
-          "index=Yasbeck, Mr. Antoni<br>No_of_relatives_on_board=1<br>shap=-0.003",
-          "index=Bostandyeff, Mr. Guentcho<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Lundahl, Mr. Johan Svensson<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Stahelin-Maeglin, Dr. Max<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Willey, Mr. Edward<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>No_of_relatives_on_board=0<br>shap=0.007",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>No_of_relatives_on_board=0<br>shap=0.009",
-          "index=Eitemiller, Mr. George Floyd<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Colley, Mr. Edward Pomeroy<br>No_of_relatives_on_board=0<br>shap=0.001",
-          "index=Coleff, Mr. Peju<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_relatives_on_board=2<br>shap=0.003",
-          "index=Davidson, Mr. Thornton<br>No_of_relatives_on_board=1<br>shap=-0.005",
-          "index=Turja, Miss. Anna Sofia<br>No_of_relatives_on_board=0<br>shap=0.006",
-          "index=Hassab, Mr. Hammad<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Goodwin, Mr. Charles Edward<br>No_of_relatives_on_board=7<br>shap=0.016",
-          "index=Panula, Mr. Jaako Arnold<br>No_of_relatives_on_board=5<br>shap=0.017",
-          "index=Fischer, Mr. Eberhard Thelander<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_relatives_on_board=1<br>shap=-0.0",
-          "index=Hansen, Mr. Henrik Juul<br>No_of_relatives_on_board=1<br>shap=-0.005",
-          "index=Calderhead, Mr. Edward Pennington<br>No_of_relatives_on_board=0<br>shap=0.001",
-          "index=Klaber, Mr. Herman<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Taylor, Mr. Elmer Zebley<br>No_of_relatives_on_board=1<br>shap=-0.007",
-          "index=Larsson, Mr. August Viktor<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Greenberg, Mr. Samuel<br>No_of_relatives_on_board=0<br>shap=0.0",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_relatives_on_board=0<br>shap=0.003",
-          "index=McEvoy, Mr. Michael<br>No_of_relatives_on_board=0<br>shap=-0.003",
-          "index=Johnson, Mr. Malkolm Joackim<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Gillespie, Mr. William Henry<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Allen, Miss. Elisabeth Walton<br>No_of_relatives_on_board=0<br>shap=0.008",
-          "index=Berriman, Mr. William John<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Troupiansky, Mr. Moses Aaron<br>No_of_relatives_on_board=0<br>shap=-0.0",
-          "index=Williams, Mr. Leslie<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=Ivanoff, Mr. Kanio<br>No_of_relatives_on_board=0<br>shap=-0.002",
-          "index=McNamee, Mr. Neal<br>No_of_relatives_on_board=1<br>shap=-0.008",
-          "index=Connaghton, Mr. Michael<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Carlsson, Mr. August Sigfrid<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>No_of_relatives_on_board=0<br>shap=0.007",
-          "index=Eklund, Mr. Hans Linus<br>No_of_relatives_on_board=0<br>shap=-0.001",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>No_of_relatives_on_board=1<br>shap=0.003",
-          "index=Moran, Mr. Daniel J<br>No_of_relatives_on_board=1<br>shap=-0.005",
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-           null,
-           24,
-           null,
-           37,
-           18,
-           null,
-           36,
-           null,
-           30,
-           7,
-           45,
-           32,
-           33,
-           22,
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-           null,
-           62,
-           53,
-           19,
-           36,
-           null,
-           null,
-           null,
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-           35,
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-           27,
-           22,
-           40,
-           null,
-           null,
-           26,
-           27,
-           26,
-           51,
-           32,
-           null,
-           23,
-           18,
-           23,
-           47,
-           36,
-           40,
-           31,
-           18,
-           27,
-           14,
-           14,
-           18,
-           42,
-           18,
-           26,
-           42,
-           null,
-           48,
-           29,
-           52,
-           27,
-           null,
-           33,
-           34,
-           29,
-           23,
-           23,
-           28.5,
-           null,
-           24,
-           31,
-           28,
-           33,
-           16,
-           51,
-           null,
-           24,
-           43,
-           13,
-           17,
-           null,
-           25,
-           18,
-           46,
-           49,
-           31,
-           11,
-           0.42,
-           31,
-           35,
-           30.5,
-           null,
-           0.83,
-           16,
-           34.5,
-           null,
-           9,
-           18,
-           null,
-           4,
-           33,
-           20,
-           27
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-          "colorbar": {
-           "showticklabels": false,
-           "title": {
-            "text": "feature value <br> (red is high)"
-           }
-          },
-          "colorscale": [
-           [
-            0,
-            "rgb(0,0,255)"
-           ],
-           [
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-          "opacity": 0.3,
-          "showscale": true,
-          "size": 5
+         "hoverinfo": "skip",
+         "line": {
+          "color": "grey"
          },
-         "mode": "markers",
-         "name": "Age",
-         "opacity": 0.8,
+         "mode": "lines",
+         "opacity": 0.1,
          "showlegend": false,
-         "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=38.0<br>shap=0.006",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=35.0<br>shap=0.005",
-          "index=Palsson, Master. Gosta Leonard<br>Age=2.0<br>shap=0.011",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=27.0<br>shap=0.005",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>shap=-0.005",
-          "index=Saundercock, Mr. William Henry<br>Age=20.0<br>shap=0.001",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=14.0<br>shap=-0.001",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=38.0<br>shap=0.005",
-          "index=Glynn, Miss. Mary Agatha<br>Age=nan<br>shap=-0.002",
-          "index=Meyer, Mr. Edgar Joseph<br>Age=28.0<br>shap=-0.004",
-          "index=Kraeff, Mr. Theodor<br>Age=nan<br>shap=0.003",
-          "index=Devaney, Miss. Margaret Delia<br>Age=19.0<br>shap=-0.008",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=18.0<br>shap=0.001",
-          "index=Rugg, Miss. Emily<br>Age=21.0<br>shap=-0.002",
-          "index=Harris, Mr. Henry Birkhardt<br>Age=45.0<br>shap=-0.004",
-          "index=Skoog, Master. Harald<br>Age=4.0<br>shap=0.007",
-          "index=Kink, Mr. Vincenz<br>Age=26.0<br>shap=-0.002",
-          "index=Hood, Mr. Ambrose Jr<br>Age=21.0<br>shap=-0.001",
-          "index=Ilett, Miss. Bertha<br>Age=17.0<br>shap=-0.001",
-          "index=Ford, Mr. William Neal<br>Age=16.0<br>shap=-0.002",
-          "index=Christmann, Mr. Emil<br>Age=29.0<br>shap=-0.001",
-          "index=Andreasson, Mr. Paul Edvin<br>Age=20.0<br>shap=0.0",
-          "index=Chaffee, Mr. Herbert Fuller<br>Age=46.0<br>shap=-0.006",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=nan<br>shap=0.003",
-          "index=White, Mr. Richard Frasar<br>Age=21.0<br>shap=-0.002",
-          "index=Rekic, Mr. Tido<br>Age=38.0<br>shap=0.0",
-          "index=Moran, Miss. Bertha<br>Age=nan<br>shap=-0.007",
-          "index=Barton, Mr. David John<br>Age=22.0<br>shap=0.0",
-          "index=Jussila, Miss. Katriina<br>Age=20.0<br>shap=-0.001",
-          "index=Pekoniemi, Mr. Edvard<br>Age=21.0<br>shap=0.001",
-          "index=Turpin, Mr. William John Robert<br>Age=29.0<br>shap=-0.004",
-          "index=Moore, Mr. Leonard Charles<br>Age=nan<br>shap=0.003",
-          "index=Osen, Mr. Olaf Elon<br>Age=16.0<br>shap=-0.0",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=9.0<br>shap=-0.011",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=36.5<br>shap=-0.006",
-          "index=Bateman, Rev. Robert James<br>Age=51.0<br>shap=0.002",
-          "index=Meo, Mr. Alfonzo<br>Age=55.5<br>shap=0.0",
-          "index=Cribb, Mr. John Hatfield<br>Age=44.0<br>shap=-0.003",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=nan<br>shap=-0.024",
-          "index=Van der hoef, Mr. Wyckoff<br>Age=61.0<br>shap=-0.001",
-          "index=Sivola, Mr. Antti Wilhelm<br>Age=21.0<br>shap=0.001",
-          "index=Klasen, Mr. Klas Albin<br>Age=18.0<br>shap=-0.003",
-          "index=Rood, Mr. Hugh Roscoe<br>Age=nan<br>shap=0.008",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=19.0<br>shap=0.0",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>shap=0.003",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>shap=-0.001",
-          "index=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>shap=-0.002",
-          "index=Blank, Mr. Henry<br>Age=40.0<br>shap=-0.0",
-          "index=Ali, Mr. Ahmed<br>Age=24.0<br>shap=0.0",
-          "index=Green, Mr. George Henry<br>Age=51.0<br>shap=0.002",
-          "index=Nenkoff, Mr. Christo<br>Age=nan<br>shap=0.003",
-          "index=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>shap=-0.013",
-          "index=Harknett, Miss. Alice Phoebe<br>Age=nan<br>shap=-0.005",
-          "index=Hunt, Mr. George Henry<br>Age=33.0<br>shap=-0.004",
-          "index=Reed, Mr. James George<br>Age=nan<br>shap=0.003",
-          "index=Stead, Mr. William Thomas<br>Age=62.0<br>shap=-0.003",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Age=nan<br>shap=-0.016",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>shap=0.011",
-          "index=Smith, Mr. Thomas<br>Age=nan<br>shap=0.002",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>shap=0.012",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Age=nan<br>shap=-0.002",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>shap=0.01",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>shap=0.007",
-          "index=Smith, Mr. Richard William<br>Age=nan<br>shap=0.007",
-          "index=Connolly, Miss. Kate<br>Age=22.0<br>shap=-0.009",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>shap=-0.0",
-          "index=Levy, Mr. Rene Jacques<br>Age=36.0<br>shap=-0.003",
-          "index=Lewy, Mr. Ervin G<br>Age=nan<br>shap=0.007",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Age=nan<br>shap=0.003",
-          "index=Sage, Mr. George John Jr<br>Age=nan<br>shap=0.011",
-          "index=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>shap=0.0",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=nan<br>shap=-0.02",
-          "index=Denkoff, Mr. Mitto<br>Age=nan<br>shap=0.003",
-          "index=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>shap=-0.0",
-          "index=Dimic, Mr. Jovan<br>Age=42.0<br>shap=-0.001",
-          "index=del Carlo, Mr. Sebastiano<br>Age=29.0<br>shap=-0.003",
-          "index=Beavan, Mr. William Thomas<br>Age=19.0<br>shap=-0.0",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=nan<br>shap=-0.018",
-          "index=Widener, Mr. Harry Elkins<br>Age=27.0<br>shap=-0.002",
-          "index=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>shap=-0.0",
-          "index=Plotcharsky, Mr. Vasil<br>Age=nan<br>shap=0.003",
-          "index=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>shap=0.012",
-          "index=Sadlier, Mr. Matthew<br>Age=nan<br>shap=0.002",
-          "index=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>shap=-0.002",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>shap=0.001",
-          "index=Niskanen, Mr. Juha<br>Age=39.0<br>shap=0.001",
-          "index=Minahan, Miss. Daisy E<br>Age=33.0<br>shap=0.002",
-          "index=Matthews, Mr. William John<br>Age=30.0<br>shap=-0.003",
-          "index=Charters, Mr. David<br>Age=21.0<br>shap=0.003",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=19.0<br>shap=-0.0",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>shap=0.007",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>shap=0.003",
-          "index=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>shap=-0.003",
-          "index=Anderson, Mr. Harry<br>Age=48.0<br>shap=-0.004",
-          "index=Milling, Mr. Jacob Christian<br>Age=48.0<br>shap=-0.0",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>shap=0.012",
-          "index=Karlsson, Mr. Nils August<br>Age=22.0<br>shap=0.0",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Age=nan<br>shap=0.006",
-          "index=Bishop, Mr. Dickinson H<br>Age=25.0<br>shap=-0.004",
-          "index=Windelov, Mr. Einar<br>Age=21.0<br>shap=0.0",
-          "index=Shellard, Mr. Frederick William<br>Age=nan<br>shap=0.005",
-          "index=Svensson, Mr. Olof<br>Age=24.0<br>shap=0.0",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>shap=-0.002",
-          "index=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>shap=0.005",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>shap=0.004",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=nan<br>shap=0.008",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=36.0<br>shap=0.006",
-          "index=Kassem, Mr. Fared<br>Age=nan<br>shap=0.003",
-          "index=Cacic, Miss. Marija<br>Age=30.0<br>shap=0.002",
-          "index=Hart, Miss. Eva Miriam<br>Age=7.0<br>shap=-0.016",
-          "index=Butt, Major. Archibald Willingham<br>Age=45.0<br>shap=-0.002",
-          "index=Beane, Mr. Edward<br>Age=32.0<br>shap=-0.003",
-          "index=Goldsmith, Mr. Frank John<br>Age=33.0<br>shap=-0.006",
-          "index=Ohman, Miss. Velin<br>Age=22.0<br>shap=-0.002",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>shap=0.007",
-          "index=Morrow, Mr. Thomas Rowan<br>Age=nan<br>shap=0.002",
-          "index=Harris, Mr. George<br>Age=62.0<br>shap=0.0",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>shap=0.012",
-          "index=Patchett, Mr. George<br>Age=19.0<br>shap=-0.001",
-          "index=Ross, Mr. John Hugo<br>Age=36.0<br>shap=-0.002",
-          "index=Murdlin, Mr. Joseph<br>Age=nan<br>shap=0.003",
-          "index=Bourke, Miss. Mary<br>Age=nan<br>shap=-0.01",
-          "index=Boulos, Mr. Hanna<br>Age=nan<br>shap=0.003",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Age=49.0<br>shap=-0.004",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=35.0<br>shap=-0.003",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>shap=-0.003",
-          "index=Daniel, Mr. Robert Williams<br>Age=27.0<br>shap=-0.003",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>shap=0.005",
-          "index=Shutes, Miss. Elizabeth W<br>Age=40.0<br>shap=0.004",
-          "index=Jardin, Mr. Jose Neto<br>Age=nan<br>shap=0.003",
-          "index=Horgan, Mr. John<br>Age=nan<br>shap=0.002",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>shap=0.002",
-          "index=Yasbeck, Mr. Antoni<br>Age=27.0<br>shap=-0.002",
-          "index=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>shap=-0.001",
-          "index=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>shap=0.002",
-          "index=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>shap=-0.001",
-          "index=Willey, Mr. Edward<br>Age=nan<br>shap=0.003",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>shap=-0.002",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Age=18.0<br>shap=-0.001",
-          "index=Eitemiller, Mr. George Floyd<br>Age=23.0<br>shap=-0.001",
-          "index=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>shap=-0.004",
-          "index=Coleff, Mr. Peju<br>Age=36.0<br>shap=-0.002",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>shap=0.008",
-          "index=Davidson, Mr. Thornton<br>Age=31.0<br>shap=-0.001",
-          "index=Turja, Miss. Anna Sofia<br>Age=18.0<br>shap=-0.001",
-          "index=Hassab, Mr. Hammad<br>Age=27.0<br>shap=-0.001",
-          "index=Goodwin, Mr. Charles Edward<br>Age=14.0<br>shap=0.0",
-          "index=Panula, Mr. Jaako Arnold<br>Age=14.0<br>shap=0.002",
-          "index=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>shap=-0.0",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>shap=0.0",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>shap=-0.006",
-          "index=Hansen, Mr. Henrik Juul<br>Age=26.0<br>shap=-0.002",
-          "index=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>shap=-0.003",
-          "index=Klaber, Mr. Herman<br>Age=nan<br>shap=0.008",
-          "index=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>shap=-0.004",
-          "index=Larsson, Mr. August Viktor<br>Age=29.0<br>shap=-0.001",
-          "index=Greenberg, Mr. Samuel<br>Age=52.0<br>shap=0.0",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Age=27.0<br>shap=-0.004",
-          "index=McEvoy, Mr. Michael<br>Age=nan<br>shap=0.003",
-          "index=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>shap=-0.003",
-          "index=Gillespie, Mr. William Henry<br>Age=34.0<br>shap=-0.004",
-          "index=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>shap=0.004",
-          "index=Berriman, Mr. William John<br>Age=23.0<br>shap=-0.001",
-          "index=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>shap=-0.001",
-          "index=Williams, Mr. Leslie<br>Age=28.5<br>shap=-0.002",
-          "index=Ivanoff, Mr. Kanio<br>Age=nan<br>shap=0.003",
-          "index=McNamee, Mr. Neal<br>Age=24.0<br>shap=-0.002",
-          "index=Connaghton, Mr. Michael<br>Age=31.0<br>shap=0.007",
-          "index=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>shap=-0.001",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>shap=0.005",
-          "index=Eklund, Mr. Hans Linus<br>Age=16.0<br>shap=-0.001",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>shap=0.007",
-          "index=Moran, Mr. Daniel J<br>Age=nan<br>shap=0.006",
-          "index=Lievens, Mr. Rene Aime<br>Age=24.0<br>shap=0.0",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>shap=0.008",
-          "index=Ayoub, Miss. Banoura<br>Age=13.0<br>shap=-0.002",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>shap=-0.001",
-          "index=Johnston, Mr. Andrew G<br>Age=nan<br>shap=0.011",
-          "index=Ali, Mr. William<br>Age=25.0<br>shap=0.0",
-          "index=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>shap=-0.001",
-          "index=Guggenheim, Mr. Benjamin<br>Age=46.0<br>shap=-0.001",
-          "index=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>shap=0.005",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>shap=0.005",
-          "index=Carter, Master. William Thornton II<br>Age=11.0<br>shap=0.005",
-          "index=Thomas, Master. Assad Alexander<br>Age=0.42<br>shap=0.009",
-          "index=Johansson, Mr. Karl Johan<br>Age=31.0<br>shap=0.0",
-          "index=Slemen, Mr. Richard James<br>Age=35.0<br>shap=-0.004",
-          "index=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>shap=-0.001",
-          "index=McCormack, Mr. Thomas Joseph<br>Age=nan<br>shap=0.002",
-          "index=Richards, Master. George Sibley<br>Age=0.83<br>shap=0.014",
-          "index=Mudd, Mr. Thomas Charles<br>Age=16.0<br>shap=-0.0",
-          "index=Lemberopolous, Mr. Peter L<br>Age=34.5<br>shap=0.0",
-          "index=Sage, Mr. Douglas Bullen<br>Age=nan<br>shap=0.011",
-          "index=Boulos, Miss. Nourelain<br>Age=9.0<br>shap=-0.007",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>shap=0.003",
-          "index=Razi, Mr. Raihed<br>Age=nan<br>shap=0.003",
-          "index=Johnson, Master. Harold Theodor<br>Age=4.0<br>shap=0.009",
-          "index=Carlsson, Mr. Frans Olof<br>Age=33.0<br>shap=-0.002",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>shap=0.0",
-          "index=Montvila, Rev. Juozas<br>Age=27.0<br>shap=-0.002"
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-         "type": "scatter",
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-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.004",
-          "index=Rugg, Miss. Emily<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Harris, Mr. Henry Birkhardt<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.002",
-          "index=Skoog, Master. Harald<br>No_of_siblings_plus_spouses_on_board=3<br>shap=0.0",
-          "index=Kink, Mr. Vincenz<br>No_of_siblings_plus_spouses_on_board=2<br>shap=-0.0",
-          "index=Hood, Mr. Ambrose Jr<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
-          "index=Ilett, Miss. Bertha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Ford, Mr. William Neal<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.002",
-          "index=Christmann, Mr. Emil<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Andreasson, Mr. Paul Edvin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Chaffee, Mr. Herbert Fuller<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.002",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=White, Mr. Richard Frasar<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Rekic, Mr. Tido<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Moran, Miss. Bertha<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.007",
-          "index=Barton, Mr. David John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Jussila, Miss. Katriina<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.005",
-          "index=Pekoniemi, Mr. Edvard<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Turpin, Mr. William John Robert<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.001",
-          "index=Moore, Mr. Leonard Charles<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Osen, Mr. Olaf Elon<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>No_of_siblings_plus_spouses_on_board=2<br>shap=-0.001",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Bateman, Rev. Robert James<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Meo, Mr. Alfonzo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Cribb, Mr. John Hatfield<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Van der hoef, Mr. Wyckoff<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Sivola, Mr. Antti Wilhelm<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Klasen, Mr. Klas Albin<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.002",
-          "index=Rood, Mr. Hugh Roscoe<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.005",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.005",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Backstrom, Mr. Karl Alfred<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.001",
-          "index=Blank, Mr. Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Ali, Mr. Ahmed<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Green, Mr. George Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Nenkoff, Mr. Christo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Asplund, Miss. Lillian Gertrud<br>No_of_siblings_plus_spouses_on_board=4<br>shap=-0.013",
-          "index=Harknett, Miss. Alice Phoebe<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Hunt, Mr. George Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Reed, Mr. James George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Stead, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.006",
-          "index=Parrish, Mrs. (Lutie Davis)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
-          "index=Smith, Mr. Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Asplund, Master. Edvin Rojj Felix<br>No_of_siblings_plus_spouses_on_board=4<br>shap=0.007",
-          "index=Healy, Miss. Hanora \"Nora\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.005",
-          "index=Andrews, Miss. Kornelia Theodosia<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.003",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.004",
-          "index=Smith, Mr. Richard William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Connolly, Miss. Kate<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.01",
-          "index=Levy, Mr. Rene Jacques<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
-          "index=Lewy, Mr. Ervin G<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Sage, Mr. George John Jr<br>No_of_siblings_plus_spouses_on_board=8<br>shap=0.013",
-          "index=Nysveen, Mr. Johan Hansen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.004",
-          "index=Denkoff, Mr. Mitto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Burns, Miss. Elizabeth Margaret<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Dimic, Mr. Jovan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=del Carlo, Mr. Sebastiano<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.001",
-          "index=Beavan, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.006",
-          "index=Widener, Mr. Harry Elkins<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Gustafsson, Mr. Karl Gideon<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Plotcharsky, Mr. Vasil<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Goodwin, Master. Sidney Leonard<br>No_of_siblings_plus_spouses_on_board=5<br>shap=0.007",
-          "index=Sadlier, Mr. Matthew<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Gustafsson, Mr. Johan Birger<br>No_of_siblings_plus_spouses_on_board=2<br>shap=-0.0",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.0",
-          "index=Niskanen, Mr. Juha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Minahan, Miss. Daisy E<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.003",
-          "index=Matthews, Mr. William John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Charters, Mr. David<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.005",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Peuchen, Major. Arthur Godfrey<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Anderson, Mr. Harry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Milling, Mr. Jacob Christian<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.003",
-          "index=Karlsson, Mr. Nils August<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Bishop, Mr. Dickinson H<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.005",
-          "index=Windelov, Mr. Einar<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Shellard, Mr. Frederick William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Svensson, Mr. Olof<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=O'Sullivan, Miss. Bridget Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.005",
-          "index=Laitinen, Miss. Kristina Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.002",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.004",
-          "index=Kassem, Mr. Fared<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Cacic, Miss. Marija<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Hart, Miss. Eva Miriam<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Butt, Major. Archibald Willingham<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Beane, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.001",
-          "index=Goldsmith, Mr. Frank John<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.001",
-          "index=Ohman, Miss. Velin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.003",
-          "index=Morrow, Mr. Thomas Rowan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Harris, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_siblings_plus_spouses_on_board=2<br>shap=0.001",
-          "index=Patchett, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Ross, Mr. John Hugo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Murdlin, Mr. Joseph<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Bourke, Miss. Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.001",
-          "index=Boulos, Mr. Hanna<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.002",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Lindell, Mr. Edvard Bengtsson<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.001",
-          "index=Daniel, Mr. Robert Williams<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.005",
-          "index=Shutes, Miss. Elizabeth W<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Jardin, Mr. Jose Neto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Horgan, Mr. John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.004",
-          "index=Yasbeck, Mr. Antoni<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.003",
-          "index=Bostandyeff, Mr. Guentcho<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Lundahl, Mr. Johan Svensson<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Stahelin-Maeglin, Dr. Max<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
-          "index=Willey, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
-          "index=Eitemiller, Mr. George Floyd<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Colley, Mr. Edward Pomeroy<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Coleff, Mr. Peju<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.003",
-          "index=Davidson, Mr. Thornton<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
-          "index=Turja, Miss. Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Hassab, Mr. Hammad<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
-          "index=Goodwin, Mr. Charles Edward<br>No_of_siblings_plus_spouses_on_board=5<br>shap=0.009",
-          "index=Panula, Mr. Jaako Arnold<br>No_of_siblings_plus_spouses_on_board=4<br>shap=0.011",
-          "index=Fischer, Mr. Eberhard Thelander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.003",
-          "index=Hansen, Mr. Henrik Juul<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.002",
-          "index=Calderhead, Mr. Edward Pennington<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Klaber, Mr. Herman<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Taylor, Mr. Elmer Zebley<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.002",
-          "index=Larsson, Mr. August Viktor<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Greenberg, Mr. Samuel<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.002",
-          "index=McEvoy, Mr. Michael<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Johnson, Mr. Malkolm Joackim<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Gillespie, Mr. William Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Allen, Miss. Elisabeth Walton<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
-          "index=Berriman, Mr. William John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Troupiansky, Mr. Moses Aaron<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Williams, Mr. Leslie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Ivanoff, Mr. Kanio<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=McNamee, Mr. Neal<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.001",
-          "index=Connaghton, Mr. Michael<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Carlsson, Mr. August Sigfrid<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
-          "index=Eklund, Mr. Hans Linus<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.003",
-          "index=Moran, Mr. Daniel J<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.003",
-          "index=Lievens, Mr. Rene Aime<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
-          "index=Ayoub, Miss. Banoura<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.004",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.007",
-          "index=Johnston, Mr. Andrew G<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.002",
-          "index=Ali, Mr. William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.001",
-          "index=Sjoblom, Miss. Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Guggenheim, Mr. Benjamin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.003",
-          "index=Leader, Dr. Alice (Farnham)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.005",
-          "index=Carter, Master. William Thornton II<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.004",
-          "index=Thomas, Master. Assad Alexander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
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-    "## Contributions"
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-       "      <th>1</th>\n",
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-       "      <td>0.812165</td>\n",
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-       "      <th>6</th>\n",
-       "      <td>No_of_relatives_on_board</td>\n",
-       "      <td>0.0283337</td>\n",
-       "      <td>1</td>\n",
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-       "      <td>0.850114</td>\n",
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-       "      <th>7</th>\n",
-       "      <td>No_of_parents_plus_children_on_board</td>\n",
-       "      <td>0.00820689</td>\n",
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-       "      <th>8</th>\n",
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-       "      <td>1</td>\n",
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-       "      <td>-0.00543509</td>\n",
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-       "      <td>0.887175</td>\n",
-       "      <td>0.89261</td>\n",
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-       "      <th>10</th>\n",
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-       "                                     col contribution      value cumulative  \\\n",
-       "0                                  _BASE     0.391172              0.391172   \n",
-       "1                                    Sex     0.250136     female   0.641309   \n",
-       "2                                   Fare    0.0639552    71.2833   0.705264   \n",
-       "3                                   Deck    0.0561479          C   0.761412   \n",
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-       "5                               Embarked    0.0379494  Cherbourg   0.850114   \n",
-       "6               No_of_relatives_on_board    0.0283337          1   0.878448   \n",
-       "7   No_of_parents_plus_children_on_board   0.00820689          0   0.886655   \n",
-       "8   No_of_siblings_plus_spouses_on_board   0.00595472          1    0.89261   \n",
-       "9                                  _REST  -0.00543509              0.887175   \n",
-       "10                           _PREDICTION     0.887175              0.887175   \n",
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-       "9    0.89261  \n",
-       "10         0  "
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-       "\n",
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-       "var notebookContainer = gd.closest('#notebook-container');\n",
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-   ],
-   "source": [
-    "name = test_names[6] # explainer prediction for name\n",
-    "print(name)\n",
-    "explainer.plot_contributions(name, cats=False)"
-   ]
-  },
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-       "// Listen for the clearing of the current output cell\n",
-       "var outputEl = gd.closest('.output');\n",
-       "if (outputEl) {{\n",
-       "    x.observe(outputEl, {childList: true});\n",
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-       "\n",
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-      ]
-     },
-     "metadata": {},
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-    }
-   ],
-   "source": [
-    "explainer.plot_contributions(name, cats=False, topx=10, sort='high-to-low', orientation='horizontal')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Shap dependence plots"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-10-12T08:41:12.419382Z",
-     "start_time": "2020-10-12T08:41:12.407147Z"
-    }
-   },
-   "outputs": [
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-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=35.0<br>SHAP=0.0",
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-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=27.0<br>SHAP=-0.0",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>SHAP=0.01",
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-          "index=Glynn, Miss. Mary Agatha<br>Age=nan<br>SHAP=0.01",
-          "index=Meyer, Mr. Edgar Joseph<br>Age=28.0<br>SHAP=0.0",
-          "index=Kraeff, Mr. Theodor<br>Age=nan<br>SHAP=0.01",
-          "index=Devaney, Miss. Margaret Delia<br>Age=19.0<br>SHAP=-0.02",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=18.0<br>SHAP=0.0",
-          "index=Rugg, Miss. Emily<br>Age=21.0<br>SHAP=-0.01",
-          "index=Harris, Mr. Henry Birkhardt<br>Age=45.0<br>SHAP=-0.02",
-          "index=Skoog, Master. Harald<br>Age=4.0<br>SHAP=0.03",
-          "index=Kink, Mr. Vincenz<br>Age=26.0<br>SHAP=-0.0",
-          "index=Hood, Mr. Ambrose Jr<br>Age=21.0<br>SHAP=-0.01",
-          "index=Ilett, Miss. Bertha<br>Age=17.0<br>SHAP=0.0",
-          "index=Ford, Mr. William Neal<br>Age=16.0<br>SHAP=0.0",
-          "index=Christmann, Mr. Emil<br>Age=29.0<br>SHAP=0.01",
-          "index=Andreasson, Mr. Paul Edvin<br>Age=20.0<br>SHAP=-0.0",
-          "index=Chaffee, Mr. Herbert Fuller<br>Age=46.0<br>SHAP=-0.03",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=nan<br>SHAP=0.01",
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-          "index=Rekic, Mr. Tido<br>Age=38.0<br>SHAP=-0.02",
-          "index=Moran, Miss. Bertha<br>Age=nan<br>SHAP=0.01",
-          "index=Barton, Mr. David John<br>Age=22.0<br>SHAP=-0.0",
-          "index=Jussila, Miss. Katriina<br>Age=20.0<br>SHAP=-0.01",
-          "index=Pekoniemi, Mr. Edvard<br>Age=21.0<br>SHAP=-0.0",
-          "index=Turpin, Mr. William John Robert<br>Age=29.0<br>SHAP=-0.0",
-          "index=Moore, Mr. Leonard Charles<br>Age=nan<br>SHAP=0.01",
-          "index=Osen, Mr. Olaf Elon<br>Age=16.0<br>SHAP=0.01",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=9.0<br>SHAP=0.01",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=36.5<br>SHAP=-0.02",
-          "index=Bateman, Rev. Robert James<br>Age=51.0<br>SHAP=-0.02",
-          "index=Meo, Mr. Alfonzo<br>Age=55.5<br>SHAP=-0.02",
-          "index=Cribb, Mr. John Hatfield<br>Age=44.0<br>SHAP=-0.03",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=nan<br>SHAP=0.01",
-          "index=Van der hoef, Mr. Wyckoff<br>Age=61.0<br>SHAP=-0.03",
-          "index=Sivola, Mr. Antti Wilhelm<br>Age=21.0<br>SHAP=-0.0",
-          "index=Klasen, Mr. Klas Albin<br>Age=18.0<br>SHAP=-0.01",
-          "index=Rood, Mr. Hugh Roscoe<br>Age=nan<br>SHAP=0.02",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=19.0<br>SHAP=-0.0",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>SHAP=-0.02",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>SHAP=0.01",
-          "index=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>SHAP=-0.0",
-          "index=Blank, Mr. Henry<br>Age=40.0<br>SHAP=-0.03",
-          "index=Ali, Mr. Ahmed<br>Age=24.0<br>SHAP=0.0",
-          "index=Green, Mr. George Henry<br>Age=51.0<br>SHAP=-0.02",
-          "index=Nenkoff, Mr. Christo<br>Age=nan<br>SHAP=0.01",
-          "index=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>SHAP=0.01",
-          "index=Harknett, Miss. Alice Phoebe<br>Age=nan<br>SHAP=0.0",
-          "index=Hunt, Mr. George Henry<br>Age=33.0<br>SHAP=-0.01",
-          "index=Reed, Mr. James George<br>Age=nan<br>SHAP=0.01",
-          "index=Stead, Mr. William Thomas<br>Age=62.0<br>SHAP=-0.05",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Age=nan<br>SHAP=-0.02",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>SHAP=-0.02",
-          "index=Smith, Mr. Thomas<br>Age=nan<br>SHAP=0.01",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>SHAP=0.03",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Age=nan<br>SHAP=0.01",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>SHAP=-0.03",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>SHAP=-0.01",
-          "index=Smith, Mr. Richard William<br>Age=nan<br>SHAP=0.02",
-          "index=Connolly, Miss. Kate<br>Age=22.0<br>SHAP=-0.02",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>SHAP=-0.0",
-          "index=Levy, Mr. Rene Jacques<br>Age=36.0<br>SHAP=-0.01",
-          "index=Lewy, Mr. Ervin G<br>Age=nan<br>SHAP=0.02",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Age=nan<br>SHAP=0.01",
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-          "index=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>SHAP=-0.02",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=nan<br>SHAP=-0.01",
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-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>SHAP=-0.0",
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-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=19.0<br>SHAP=-0.0",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>SHAP=-0.01",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>SHAP=0.01",
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-          "index=Anderson, Mr. Harry<br>Age=48.0<br>SHAP=-0.04",
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-          "index=Karlsson, Mr. Nils August<br>Age=22.0<br>SHAP=-0.0",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Age=nan<br>SHAP=0.01",
-          "index=Bishop, Mr. Dickinson H<br>Age=25.0<br>SHAP=-0.01",
-          "index=Windelov, Mr. Einar<br>Age=21.0<br>SHAP=-0.0",
-          "index=Shellard, Mr. Frederick William<br>Age=nan<br>SHAP=0.02",
-          "index=Svensson, Mr. Olof<br>Age=24.0<br>SHAP=0.0",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>SHAP=0.01",
-          "index=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>SHAP=-0.01",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>SHAP=0.02",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=nan<br>SHAP=0.02",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=36.0<br>SHAP=0.0",
-          "index=Kassem, Mr. Fared<br>Age=nan<br>SHAP=0.01",
-          "index=Cacic, Miss. Marija<br>Age=30.0<br>SHAP=0.01",
-          "index=Hart, Miss. Eva Miriam<br>Age=7.0<br>SHAP=0.02",
-          "index=Butt, Major. Archibald Willingham<br>Age=45.0<br>SHAP=-0.02",
-          "index=Beane, Mr. Edward<br>Age=32.0<br>SHAP=0.0",
-          "index=Goldsmith, Mr. Frank John<br>Age=33.0<br>SHAP=-0.02",
-          "index=Ohman, Miss. Velin<br>Age=22.0<br>SHAP=-0.0",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>SHAP=-0.0",
-          "index=Morrow, Mr. Thomas Rowan<br>Age=nan<br>SHAP=0.01",
-          "index=Harris, Mr. George<br>Age=62.0<br>SHAP=-0.01",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>SHAP=-0.03",
-          "index=Patchett, Mr. George<br>Age=19.0<br>SHAP=-0.0",
-          "index=Ross, Mr. John Hugo<br>Age=36.0<br>SHAP=-0.0",
-          "index=Murdlin, Mr. Joseph<br>Age=nan<br>SHAP=0.01",
-          "index=Bourke, Miss. Mary<br>Age=nan<br>SHAP=0.01",
-          "index=Boulos, Mr. Hanna<br>Age=nan<br>SHAP=0.01",
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-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=35.0<br>SHAP=-0.01",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>SHAP=-0.01",
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-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>SHAP=0.0",
-          "index=Shutes, Miss. Elizabeth W<br>Age=40.0<br>SHAP=-0.01",
-          "index=Jardin, Mr. Jose Neto<br>Age=nan<br>SHAP=0.01",
-          "index=Horgan, Mr. John<br>Age=nan<br>SHAP=0.01",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>SHAP=0.0",
-          "index=Yasbeck, Mr. Antoni<br>Age=27.0<br>SHAP=0.0",
-          "index=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>SHAP=0.0",
-          "index=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>SHAP=-0.02",
-          "index=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>SHAP=0.01",
-          "index=Willey, Mr. Edward<br>Age=nan<br>SHAP=0.01",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>SHAP=-0.0",
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-          "index=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>SHAP=-0.04",
-          "index=Coleff, Mr. Peju<br>Age=36.0<br>SHAP=-0.01",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>SHAP=-0.01",
-          "index=Davidson, Mr. Thornton<br>Age=31.0<br>SHAP=0.01",
-          "index=Turja, Miss. Anna Sofia<br>Age=18.0<br>SHAP=0.0",
-          "index=Hassab, Mr. Hammad<br>Age=27.0<br>SHAP=0.01",
-          "index=Goodwin, Mr. Charles Edward<br>Age=14.0<br>SHAP=0.0",
-          "index=Panula, Mr. Jaako Arnold<br>Age=14.0<br>SHAP=0.01",
-          "index=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>SHAP=0.0",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>SHAP=-0.03",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>SHAP=0.01",
-          "index=Hansen, Mr. Henrik Juul<br>Age=26.0<br>SHAP=-0.0",
-          "index=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>SHAP=-0.03",
-          "index=Klaber, Mr. Herman<br>Age=nan<br>SHAP=0.03",
-          "index=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>SHAP=-0.03",
-          "index=Larsson, Mr. August Viktor<br>Age=29.0<br>SHAP=0.0",
-          "index=Greenberg, Mr. Samuel<br>Age=52.0<br>SHAP=-0.02",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Age=27.0<br>SHAP=0.02",
-          "index=McEvoy, Mr. Michael<br>Age=nan<br>SHAP=0.01",
-          "index=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>SHAP=-0.01",
-          "index=Gillespie, Mr. William Henry<br>Age=34.0<br>SHAP=-0.01",
-          "index=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>SHAP=0.01",
-          "index=Berriman, Mr. William John<br>Age=23.0<br>SHAP=-0.01",
-          "index=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>SHAP=-0.01",
-          "index=Williams, Mr. Leslie<br>Age=28.5<br>SHAP=0.0",
-          "index=Ivanoff, Mr. Kanio<br>Age=nan<br>SHAP=0.01",
-          "index=McNamee, Mr. Neal<br>Age=24.0<br>SHAP=-0.0",
-          "index=Connaghton, Mr. Michael<br>Age=31.0<br>SHAP=0.0",
-          "index=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>SHAP=0.01",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>SHAP=0.01",
-          "index=Eklund, Mr. Hans Linus<br>Age=16.0<br>SHAP=0.01",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>SHAP=-0.02",
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-          "index=Ayoub, Miss. Banoura<br>Age=13.0<br>SHAP=0.01",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>SHAP=0.01",
-          "index=Johnston, Mr. Andrew G<br>Age=nan<br>SHAP=0.04",
-          "index=Ali, Mr. William<br>Age=25.0<br>SHAP=0.0",
-          "index=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>SHAP=0.0",
-          "index=Guggenheim, Mr. Benjamin<br>Age=46.0<br>SHAP=-0.02",
-          "index=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>SHAP=-0.02",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>SHAP=0.0",
-          "index=Carter, Master. William Thornton II<br>Age=11.0<br>SHAP=0.04",
-          "index=Thomas, Master. Assad Alexander<br>Age=0.42<br>SHAP=0.04",
-          "index=Johansson, Mr. Karl Johan<br>Age=31.0<br>SHAP=0.01",
-          "index=Slemen, Mr. Richard James<br>Age=35.0<br>SHAP=-0.01",
-          "index=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>SHAP=0.01",
-          "index=McCormack, Mr. Thomas Joseph<br>Age=nan<br>SHAP=0.01",
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-          "index=Mudd, Mr. Thomas Charles<br>Age=16.0<br>SHAP=0.0",
-          "index=Lemberopolous, Mr. Peter L<br>Age=34.5<br>SHAP=-0.02",
-          "index=Sage, Mr. Douglas Bullen<br>Age=nan<br>SHAP=0.01",
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-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>SHAP=0.0",
-          "index=Razi, Mr. Raihed<br>Age=nan<br>SHAP=0.01",
-          "index=Johnson, Master. Harold Theodor<br>Age=4.0<br>SHAP=0.05",
-          "index=Carlsson, Mr. Frans Olof<br>Age=33.0<br>SHAP=0.0",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>SHAP=-0.0",
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-          "scatter": [
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-        "title": {
-         "text": "Dependence plot for Age"
-        },
-        "xaxis": {
-         "title": {
-          "text": "Age"
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         },
-        "yaxis": {
-         "title": {
-          "text": "SHAP value"
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Gosta Leonard<br>Age=2.0<br>SHAP=0.03\", \"index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=27.0<br>SHAP=-0.0\", \"index=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>SHAP=0.01\", \"index=Saundercock, Mr. William Henry<br>Age=20.0<br>SHAP=-0.0\", \"index=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=14.0<br>SHAP=0.01\", \"index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=38.0<br>SHAP=-0.02\", \"index=Glynn, Miss. Mary Agatha<br>Age=nan<br>SHAP=0.01\", \"index=Meyer, Mr. Edgar Joseph<br>Age=28.0<br>SHAP=0.0\", \"index=Kraeff, Mr. Theodor<br>Age=nan<br>SHAP=0.01\", \"index=Devaney, Miss. Margaret Delia<br>Age=19.0<br>SHAP=-0.02\", \"index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=18.0<br>SHAP=0.0\", \"index=Rugg, Miss. Emily<br>Age=21.0<br>SHAP=-0.01\", \"index=Harris, Mr. Henry Birkhardt<br>Age=45.0<br>SHAP=-0.02\", \"index=Skoog, Master. 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Carla Christine Nielsine<br>Age=19.0<br>SHAP=-0.0\", \"index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>SHAP=-0.02\", \"index=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>SHAP=0.01\", \"index=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>SHAP=-0.0\", \"index=Blank, Mr. Henry<br>Age=40.0<br>SHAP=-0.03\", \"index=Ali, Mr. Ahmed<br>Age=24.0<br>SHAP=0.0\", \"index=Green, Mr. George Henry<br>Age=51.0<br>SHAP=-0.02\", \"index=Nenkoff, Mr. Christo<br>Age=nan<br>SHAP=0.01\", \"index=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>SHAP=0.01\", \"index=Harknett, Miss. Alice Phoebe<br>Age=nan<br>SHAP=0.0\", \"index=Hunt, Mr. George Henry<br>Age=33.0<br>SHAP=-0.01\", \"index=Reed, Mr. James George<br>Age=nan<br>SHAP=0.01\", \"index=Stead, Mr. William Thomas<br>Age=62.0<br>SHAP=-0.05\", \"index=Thorne, Mrs. Gertrude Maybelle<br>Age=nan<br>SHAP=-0.02\", \"index=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>SHAP=-0.02\", \"index=Smith, Mr. Thomas<br>Age=nan<br>SHAP=0.01\", \"index=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>SHAP=0.03\", \"index=Healy, Miss. Hanora \\\"Nora\\\"<br>Age=nan<br>SHAP=0.01\", \"index=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>SHAP=-0.03\", \"index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>SHAP=-0.01\", \"index=Smith, Mr. Richard William<br>Age=nan<br>SHAP=0.02\", \"index=Connolly, Miss. Kate<br>Age=22.0<br>SHAP=-0.02\", \"index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>SHAP=-0.0\", \"index=Levy, Mr. Rene Jacques<br>Age=36.0<br>SHAP=-0.01\", \"index=Lewy, Mr. Ervin G<br>Age=nan<br>SHAP=0.02\", \"index=Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Age=nan<br>SHAP=0.01\", \"index=Sage, Mr. George John Jr<br>Age=nan<br>SHAP=0.01\", \"index=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>SHAP=-0.02\", \"index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=nan<br>SHAP=-0.01\", \"index=Denkoff, Mr. Mitto<br>Age=nan<br>SHAP=0.01\", \"index=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>SHAP=-0.01\", \"index=Dimic, Mr. Jovan<br>Age=42.0<br>SHAP=-0.02\", \"index=del Carlo, Mr. Sebastiano<br>Age=29.0<br>SHAP=0.0\", \"index=Beavan, Mr. William Thomas<br>Age=19.0<br>SHAP=-0.0\", \"index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=nan<br>SHAP=-0.01\", \"index=Widener, Mr. Harry Elkins<br>Age=27.0<br>SHAP=0.01\", \"index=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>SHAP=-0.0\", \"index=Plotcharsky, Mr. Vasil<br>Age=nan<br>SHAP=0.01\", \"index=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>SHAP=0.03\", \"index=Sadlier, Mr. Matthew<br>Age=nan<br>SHAP=0.01\", \"index=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>SHAP=0.0\", \"index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>SHAP=-0.0\", \"index=Niskanen, Mr. Juha<br>Age=39.0<br>SHAP=-0.02\", \"index=Minahan, Miss. Daisy E<br>Age=33.0<br>SHAP=0.0\", \"index=Matthews, Mr. William John<br>Age=30.0<br>SHAP=0.0\", \"index=Charters, Mr. David<br>Age=21.0<br>SHAP=-0.0\", \"index=Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Age=19.0<br>SHAP=-0.0\", \"index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>SHAP=-0.01\", \"index=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>SHAP=0.01\", \"index=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>SHAP=-0.05\", \"index=Anderson, Mr. Harry<br>Age=48.0<br>SHAP=-0.04\", \"index=Milling, Mr. Jacob Christian<br>Age=48.0<br>SHAP=-0.02\", \"index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>SHAP=-0.0\", \"index=Karlsson, Mr. Nils August<br>Age=22.0<br>SHAP=-0.0\", \"index=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Age=nan<br>SHAP=0.01\", \"index=Bishop, Mr. Dickinson H<br>Age=25.0<br>SHAP=-0.01\", \"index=Windelov, Mr. Einar<br>Age=21.0<br>SHAP=-0.0\", \"index=Shellard, Mr. Frederick William<br>Age=nan<br>SHAP=0.02\", \"index=Svensson, Mr. Olof<br>Age=24.0<br>SHAP=0.0\", \"index=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>SHAP=0.01\", \"index=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>SHAP=-0.01\", \"index=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>SHAP=0.02\", \"index=Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Age=nan<br>SHAP=0.02\", \"index=Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Age=36.0<br>SHAP=0.0\", \"index=Kassem, Mr. Fared<br>Age=nan<br>SHAP=0.01\", \"index=Cacic, Miss. Marija<br>Age=30.0<br>SHAP=0.01\", \"index=Hart, Miss. Eva Miriam<br>Age=7.0<br>SHAP=0.02\", \"index=Butt, Major. Archibald Willingham<br>Age=45.0<br>SHAP=-0.02\", \"index=Beane, Mr. Edward<br>Age=32.0<br>SHAP=0.0\", \"index=Goldsmith, Mr. Frank John<br>Age=33.0<br>SHAP=-0.02\", \"index=Ohman, Miss. Velin<br>Age=22.0<br>SHAP=-0.0\", \"index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>SHAP=-0.0\", \"index=Morrow, Mr. Thomas Rowan<br>Age=nan<br>SHAP=0.01\", \"index=Harris, Mr. George<br>Age=62.0<br>SHAP=-0.01\", \"index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>SHAP=-0.03\", \"index=Patchett, Mr. George<br>Age=19.0<br>SHAP=-0.0\", \"index=Ross, Mr. John Hugo<br>Age=36.0<br>SHAP=-0.0\", \"index=Murdlin, Mr. Joseph<br>Age=nan<br>SHAP=0.01\", \"index=Bourke, Miss. Mary<br>Age=nan<br>SHAP=0.01\", \"index=Boulos, Mr. Hanna<br>Age=nan<br>SHAP=0.01\", \"index=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Age=49.0<br>SHAP=-0.03\", \"index=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Age=35.0<br>SHAP=-0.01\", \"index=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>SHAP=-0.01\", \"index=Daniel, Mr. Robert Williams<br>Age=27.0<br>SHAP=0.0\", \"index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>SHAP=0.0\", \"index=Shutes, Miss. Elizabeth W<br>Age=40.0<br>SHAP=-0.01\", \"index=Jardin, Mr. Jose Neto<br>Age=nan<br>SHAP=0.01\", \"index=Horgan, Mr. John<br>Age=nan<br>SHAP=0.01\", \"index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>SHAP=0.0\", \"index=Yasbeck, Mr. Antoni<br>Age=27.0<br>SHAP=0.0\", \"index=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>SHAP=0.0\", \"index=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>SHAP=-0.02\", \"index=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>SHAP=0.01\", \"index=Willey, Mr. Edward<br>Age=nan<br>SHAP=0.01\", \"index=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>SHAP=-0.0\", \"index=Hegarty, Miss. Hanora \\\"Nora\\\"<br>Age=18.0<br>SHAP=-0.0\", \"index=Eitemiller, Mr. George Floyd<br>Age=23.0<br>SHAP=-0.01\", \"index=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>SHAP=-0.04\", \"index=Coleff, Mr. Peju<br>Age=36.0<br>SHAP=-0.01\", \"index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>SHAP=-0.01\", \"index=Davidson, Mr. Thornton<br>Age=31.0<br>SHAP=0.01\", \"index=Turja, Miss. Anna Sofia<br>Age=18.0<br>SHAP=0.0\", \"index=Hassab, Mr. Hammad<br>Age=27.0<br>SHAP=0.01\", \"index=Goodwin, Mr. Charles Edward<br>Age=14.0<br>SHAP=0.0\", \"index=Panula, Mr. Jaako Arnold<br>Age=14.0<br>SHAP=0.01\", \"index=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>SHAP=0.0\", \"index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>SHAP=-0.03\", \"index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>SHAP=0.01\", \"index=Hansen, Mr. Henrik Juul<br>Age=26.0<br>SHAP=-0.0\", \"index=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>SHAP=-0.03\", \"index=Klaber, Mr. Herman<br>Age=nan<br>SHAP=0.03\", \"index=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>SHAP=-0.03\", \"index=Larsson, Mr. August Viktor<br>Age=29.0<br>SHAP=0.0\", \"index=Greenberg, Mr. Samuel<br>Age=52.0<br>SHAP=-0.02\", \"index=Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Age=27.0<br>SHAP=0.02\", \"index=McEvoy, Mr. Michael<br>Age=nan<br>SHAP=0.01\", \"index=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>SHAP=-0.01\", \"index=Gillespie, Mr. William Henry<br>Age=34.0<br>SHAP=-0.01\", \"index=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>SHAP=0.01\", \"index=Berriman, Mr. William John<br>Age=23.0<br>SHAP=-0.01\", \"index=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>SHAP=-0.01\", \"index=Williams, Mr. Leslie<br>Age=28.5<br>SHAP=0.0\", \"index=Ivanoff, Mr. Kanio<br>Age=nan<br>SHAP=0.01\", \"index=McNamee, Mr. Neal<br>Age=24.0<br>SHAP=-0.0\", \"index=Connaghton, Mr. Michael<br>Age=31.0<br>SHAP=0.0\", \"index=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>SHAP=0.01\", \"index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>SHAP=0.01\", \"index=Eklund, Mr. Hans Linus<br>Age=16.0<br>SHAP=0.01\", \"index=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>SHAP=-0.02\", \"index=Moran, Mr. Daniel J<br>Age=nan<br>SHAP=0.02\", \"index=Lievens, Mr. Rene Aime<br>Age=24.0<br>SHAP=0.0\", \"index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>SHAP=-0.01\", \"index=Ayoub, Miss. Banoura<br>Age=13.0<br>SHAP=0.01\", \"index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>SHAP=0.01\", \"index=Johnston, Mr. Andrew G<br>Age=nan<br>SHAP=0.04\", \"index=Ali, Mr. William<br>Age=25.0<br>SHAP=0.0\", \"index=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>SHAP=0.0\", \"index=Guggenheim, Mr. Benjamin<br>Age=46.0<br>SHAP=-0.02\", \"index=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>SHAP=-0.02\", \"index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>SHAP=0.0\", \"index=Carter, Master. William Thornton II<br>Age=11.0<br>SHAP=0.04\", \"index=Thomas, Master. Assad Alexander<br>Age=0.42<br>SHAP=0.04\", \"index=Johansson, Mr. Karl Johan<br>Age=31.0<br>SHAP=0.01\", \"index=Slemen, Mr. Richard James<br>Age=35.0<br>SHAP=-0.01\", \"index=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>SHAP=0.01\", \"index=McCormack, Mr. Thomas Joseph<br>Age=nan<br>SHAP=0.01\", \"index=Richards, Master. George Sibley<br>Age=0.83<br>SHAP=0.06\", \"index=Mudd, Mr. Thomas Charles<br>Age=16.0<br>SHAP=0.0\", \"index=Lemberopolous, Mr. Peter L<br>Age=34.5<br>SHAP=-0.02\", \"index=Sage, Mr. Douglas Bullen<br>Age=nan<br>SHAP=0.01\", \"index=Boulos, Miss. Nourelain<br>Age=9.0<br>SHAP=0.01\", \"index=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>SHAP=0.0\", \"index=Razi, Mr. Raihed<br>Age=nan<br>SHAP=0.01\", \"index=Johnson, Master. Harold Theodor<br>Age=4.0<br>SHAP=0.05\", \"index=Carlsson, Mr. Frans Olof<br>Age=33.0<br>SHAP=0.0\", \"index=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>SHAP=-0.0\", \"index=Montvila, Rev. Juozas<br>Age=27.0<br>SHAP=0.0\"], \"type\": \"scatter\", \"x\": [38.0, 35.0, 2.0, 27.0, 14.0, 20.0, 14.0, 38.0, null, 28.0, null, 19.0, 18.0, 21.0, 45.0, 4.0, 26.0, 21.0, 17.0, 16.0, 29.0, 20.0, 46.0, null, 21.0, 38.0, null, 22.0, 20.0, 21.0, 29.0, null, 16.0, 9.0, 36.5, 51.0, 55.5, 44.0, null, 61.0, 21.0, 18.0, null, 19.0, 44.0, 28.0, 32.0, 40.0, 24.0, 51.0, null, 5.0, null, 33.0, null, 62.0, null, 50.0, null, 3.0, null, 63.0, 35.0, null, 22.0, 19.0, 36.0, null, null, null, 61.0, null, null, 41.0, 42.0, 29.0, 19.0, null, 27.0, 19.0, null, 1.0, null, 28.0, 24.0, 39.0, 33.0, 30.0, 21.0, 19.0, 45.0, null, 52.0, 48.0, 48.0, 33.0, 22.0, null, 25.0, 21.0, null, 24.0, null, 37.0, 18.0, null, 36.0, null, 30.0, 7.0, 45.0, 32.0, 33.0, 22.0, 39.0, null, 62.0, 53.0, 19.0, 36.0, null, null, null, 49.0, 35.0, 36.0, 27.0, 22.0, 40.0, null, null, 26.0, 27.0, 26.0, 51.0, 32.0, null, 23.0, 18.0, 23.0, 47.0, 36.0, 40.0, 31.0, 18.0, 27.0, 14.0, 14.0, 18.0, 42.0, 18.0, 26.0, 42.0, null, 48.0, 29.0, 52.0, 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\"scatter\"}]}}, \"title\": {\"text\": \"Dependence plot for Age\"}, \"xaxis\": {\"title\": {\"text\": \"Age\"}}, \"yaxis\": {\"title\": {\"text\": \"SHAP value\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
-       "                            \n",
-       "var gd = document.getElementById('7162af02-4282-4cd1-8a6d-d14b84cf6cab');\n",
-       "var x = new MutationObserver(function (mutations, observer) {{\n",
-       "        var display = window.getComputedStyle(gd).display;\n",
-       "        if (!display || display === 'none') {{\n",
-       "            console.log([gd, 'removed!']);\n",
-       "            Plotly.purge(gd);\n",
-       "            observer.disconnect();\n",
-       "        }}\n",
-       "}});\n",
-       "\n",
-       "// Listen for the removal of the full notebook cells\n",
-       "var notebookContainer = gd.closest('#notebook-container');\n",
-       "if (notebookContainer) {{\n",
-       "    x.observe(notebookContainer, {childList: true});\n",
-       "}}\n",
-       "\n",
-       "// Listen for the clearing of the current output cell\n",
-       "var outputEl = gd.closest('.output');\n",
-       "if (outputEl) {{\n",
-       "    x.observe(outputEl, {childList: true});\n",
-       "}}\n",
-       "\n",
-       "                        })                };                });            </script>        </div>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "explainer.plot_dependence(\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### color by sex"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-10-12T08:41:14.671720Z",
-     "start_time": "2020-10-12T08:41:14.655107Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "plotlyServerURL": "https://plot.ly"
-       },
-       "data": [
         {
-         "hoverinfo": "text",
-         "marker": {
-          "opacity": 0.6,
-          "showscale": false,
-          "size": 7
+         "hoverinfo": "skip",
+         "line": {
+          "color": "grey"
          },
-         "mode": "markers",
-         "name": "female",
-         "opacity": 0.8,
-         "showlegend": true,
-         "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=38.0<br>Sex=female<br>SHAP=-0.01",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=35.0<br>Sex=female<br>SHAP=0.0",
-          "index=Palsson, Master. Gosta Leonard<br>Age=27.0<br>Sex=female<br>SHAP=-0.0",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=14.0<br>Sex=female<br>SHAP=0.01",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>Sex=female<br>SHAP=0.01",
-          "index=Saundercock, Mr. William Henry<br>Age=38.0<br>Sex=female<br>SHAP=-0.02",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=-999.0<br>Sex=female<br>SHAP=0.01",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=19.0<br>Sex=female<br>SHAP=-0.02",
-          "index=Glynn, Miss. Mary Agatha<br>Age=18.0<br>Sex=female<br>SHAP=0.0",
-          "index=Meyer, Mr. Edgar Joseph<br>Age=21.0<br>Sex=female<br>SHAP=-0.01",
-          "index=Kraeff, Mr. Theodor<br>Age=17.0<br>Sex=female<br>SHAP=0.0",
-          "index=Devaney, Miss. Margaret Delia<br>Age=-999.0<br>Sex=female<br>SHAP=0.01",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=20.0<br>Sex=female<br>SHAP=-0.01",
-          "index=Rugg, Miss. Emily<br>Age=9.0<br>Sex=female<br>SHAP=0.01",
-          "index=Harris, Mr. Henry Birkhardt<br>Age=-999.0<br>Sex=female<br>SHAP=0.01",
-          "index=Skoog, Master. Harald<br>Age=19.0<br>Sex=female<br>SHAP=-0.0",
-          "index=Kink, Mr. Vincenz<br>Age=44.0<br>Sex=female<br>SHAP=-0.02",
-          "index=Hood, Mr. Ambrose Jr<br>Age=5.0<br>Sex=female<br>SHAP=0.01",
-          "index=Ilett, Miss. Bertha<br>Age=-999.0<br>Sex=female<br>SHAP=0.0",
-          "index=Ford, Mr. William Neal<br>Age=-999.0<br>Sex=female<br>SHAP=-0.02",
-          "index=Christmann, Mr. Emil<br>Age=50.0<br>Sex=female<br>SHAP=-0.02",
-          "index=Andreasson, Mr. Paul Edvin<br>Age=-999.0<br>Sex=female<br>SHAP=0.01",
-          "index=Chaffee, Mr. Herbert Fuller<br>Age=63.0<br>Sex=female<br>SHAP=-0.03",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=35.0<br>Sex=female<br>SHAP=-0.01",
-          "index=White, Mr. Richard Frasar<br>Age=22.0<br>Sex=female<br>SHAP=-0.02",
-          "index=Rekic, Mr. Tido<br>Age=19.0<br>Sex=female<br>SHAP=-0.0",
-          "index=Moran, Miss. Bertha<br>Age=-999.0<br>Sex=female<br>SHAP=-0.01",
-          "index=Barton, Mr. David John<br>Age=41.0<br>Sex=female<br>SHAP=-0.01",
-          "index=Jussila, Miss. Katriina<br>Age=-999.0<br>Sex=female<br>SHAP=-0.01",
-          "index=Pekoniemi, Mr. Edvard<br>Age=24.0<br>Sex=female<br>SHAP=-0.0",
-          "index=Turpin, Mr. William John Robert<br>Age=33.0<br>Sex=female<br>SHAP=0.0",
-          "index=Moore, Mr. Leonard Charles<br>Age=19.0<br>Sex=female<br>SHAP=-0.0",
-          "index=Osen, Mr. Olaf Elon<br>Age=45.0<br>Sex=female<br>SHAP=-0.01",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=33.0<br>Sex=female<br>SHAP=-0.0",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=-999.0<br>Sex=female<br>SHAP=0.01",
-          "index=Bateman, Rev. Robert James<br>Age=37.0<br>Sex=female<br>SHAP=-0.01",
-          "index=Meo, Mr. Alfonzo<br>Age=36.0<br>Sex=female<br>SHAP=0.0",
-          "index=Cribb, Mr. John Hatfield<br>Age=30.0<br>Sex=female<br>SHAP=0.01",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=7.0<br>Sex=female<br>SHAP=0.02",
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-   "source": [
-    "explainer.plot_dependence(\", color_col=\"Sex\")"
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-   "metadata": {},
-   "source": [
-    "### color by Fare"
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-   "execution_count": 24,
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-     "start_time": "2020-10-12T08:41:20.688679Z"
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-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=38.0<br>Fare=71.2833<br>SHAP=-0.01",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=35.0<br>Fare=53.1<br>SHAP=0.0",
-          "index=Palsson, Master. Gosta Leonard<br>Age=2.0<br>Fare=21.075<br>SHAP=0.03",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=27.0<br>Fare=11.1333<br>SHAP=-0.0",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>Fare=30.0708<br>SHAP=0.01",
-          "index=Saundercock, Mr. William Henry<br>Age=20.0<br>Fare=8.05<br>SHAP=-0.0",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=14.0<br>Fare=7.8542<br>SHAP=0.01",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=38.0<br>Fare=31.3875<br>SHAP=-0.02",
-          "index=Glynn, Miss. Mary Agatha<br>Age=nan<br>Fare=7.75<br>SHAP=0.01",
-          "index=Meyer, Mr. Edgar Joseph<br>Age=28.0<br>Fare=82.1708<br>SHAP=0.0",
-          "index=Kraeff, Mr. Theodor<br>Age=nan<br>Fare=7.8958<br>SHAP=0.01",
-          "index=Devaney, Miss. Margaret Delia<br>Age=19.0<br>Fare=7.8792<br>SHAP=-0.02",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=18.0<br>Fare=17.8<br>SHAP=0.0",
-          "index=Rugg, Miss. Emily<br>Age=21.0<br>Fare=10.5<br>SHAP=-0.01",
-          "index=Harris, Mr. Henry Birkhardt<br>Age=45.0<br>Fare=83.475<br>SHAP=-0.02",
-          "index=Skoog, Master. Harald<br>Age=4.0<br>Fare=27.9<br>SHAP=0.03",
-          "index=Kink, Mr. Vincenz<br>Age=26.0<br>Fare=8.6625<br>SHAP=-0.0",
-          "index=Hood, Mr. Ambrose Jr<br>Age=21.0<br>Fare=73.5<br>SHAP=-0.01",
-          "index=Ilett, Miss. Bertha<br>Age=17.0<br>Fare=10.5<br>SHAP=0.0",
-          "index=Ford, Mr. William Neal<br>Age=16.0<br>Fare=34.375<br>SHAP=0.0",
-          "index=Christmann, Mr. Emil<br>Age=29.0<br>Fare=8.05<br>SHAP=0.01",
-          "index=Andreasson, Mr. Paul Edvin<br>Age=20.0<br>Fare=7.8542<br>SHAP=-0.0",
-          "index=Chaffee, Mr. Herbert Fuller<br>Age=46.0<br>Fare=61.175<br>SHAP=-0.03",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=nan<br>Fare=7.8958<br>SHAP=0.01",
-          "index=White, Mr. Richard Frasar<br>Age=21.0<br>Fare=77.2875<br>SHAP=-0.0",
-          "index=Rekic, Mr. Tido<br>Age=38.0<br>Fare=7.8958<br>SHAP=-0.02",
-          "index=Moran, Miss. Bertha<br>Age=nan<br>Fare=24.15<br>SHAP=0.01",
-          "index=Barton, Mr. David John<br>Age=22.0<br>Fare=8.05<br>SHAP=-0.0",
-          "index=Jussila, Miss. Katriina<br>Age=20.0<br>Fare=9.825<br>SHAP=-0.01",
-          "index=Pekoniemi, Mr. Edvard<br>Age=21.0<br>Fare=7.925<br>SHAP=-0.0",
-          "index=Turpin, Mr. William John Robert<br>Age=29.0<br>Fare=21.0<br>SHAP=-0.0",
-          "index=Moore, Mr. Leonard Charles<br>Age=nan<br>Fare=8.05<br>SHAP=0.01",
-          "index=Osen, Mr. Olaf Elon<br>Age=16.0<br>Fare=9.2167<br>SHAP=0.01",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=9.0<br>Fare=34.375<br>SHAP=0.01",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=36.5<br>Fare=26.0<br>SHAP=-0.02",
-          "index=Bateman, Rev. Robert James<br>Age=51.0<br>Fare=12.525<br>SHAP=-0.02",
-          "index=Meo, Mr. Alfonzo<br>Age=55.5<br>Fare=8.05<br>SHAP=-0.02",
-          "index=Cribb, Mr. John Hatfield<br>Age=44.0<br>Fare=16.1<br>SHAP=-0.03",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=nan<br>Fare=55.0<br>SHAP=0.01",
-          "index=Van der hoef, Mr. Wyckoff<br>Age=61.0<br>Fare=33.5<br>SHAP=-0.03",
-          "index=Sivola, Mr. Antti Wilhelm<br>Age=21.0<br>Fare=7.925<br>SHAP=-0.0",
-          "index=Klasen, Mr. Klas Albin<br>Age=18.0<br>Fare=7.8542<br>SHAP=-0.01",
-          "index=Rood, Mr. Hugh Roscoe<br>Age=nan<br>Fare=50.0<br>SHAP=0.02",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=19.0<br>Fare=7.8542<br>SHAP=-0.0",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>Fare=27.7208<br>SHAP=-0.02",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>Fare=9.5<br>SHAP=0.01",
-          "index=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>Fare=15.85<br>SHAP=-0.0",
-          "index=Blank, Mr. Henry<br>Age=40.0<br>Fare=31.0<br>SHAP=-0.03",
-          "index=Ali, Mr. Ahmed<br>Age=24.0<br>Fare=7.05<br>SHAP=0.0",
-          "index=Green, Mr. George Henry<br>Age=51.0<br>Fare=8.05<br>SHAP=-0.02",
-          "index=Nenkoff, Mr. Christo<br>Age=nan<br>Fare=7.8958<br>SHAP=0.01",
-          "index=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>Fare=31.3875<br>SHAP=0.01",
-          "index=Harknett, Miss. Alice Phoebe<br>Age=nan<br>Fare=7.55<br>SHAP=0.0",
-          "index=Hunt, Mr. George Henry<br>Age=33.0<br>Fare=12.275<br>SHAP=-0.01",
-          "index=Reed, Mr. James George<br>Age=nan<br>Fare=7.25<br>SHAP=0.01",
-          "index=Stead, Mr. William Thomas<br>Age=62.0<br>Fare=26.55<br>SHAP=-0.05",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Age=nan<br>Fare=79.2<br>SHAP=-0.02",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>Fare=26.0<br>SHAP=-0.02",
-          "index=Smith, Mr. Thomas<br>Age=nan<br>Fare=7.75<br>SHAP=0.01",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>Fare=31.3875<br>SHAP=0.03",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Age=nan<br>Fare=7.75<br>SHAP=0.01",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>Fare=77.9583<br>SHAP=-0.03",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>Fare=20.25<br>SHAP=-0.01",
-          "index=Smith, Mr. Richard William<br>Age=nan<br>Fare=26.0<br>SHAP=0.02",
-          "index=Connolly, Miss. Kate<br>Age=22.0<br>Fare=7.75<br>SHAP=-0.02",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>Fare=91.0792<br>SHAP=-0.0",
-          "index=Levy, Mr. Rene Jacques<br>Age=36.0<br>Fare=12.875<br>SHAP=-0.01",
-          "index=Lewy, Mr. Ervin G<br>Age=nan<br>Fare=27.7208<br>SHAP=0.02",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Age=nan<br>Fare=8.05<br>SHAP=0.01",
-          "index=Sage, Mr. George John Jr<br>Age=nan<br>Fare=69.55<br>SHAP=0.01",
-          "index=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>Fare=6.2375<br>SHAP=-0.02",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=nan<br>Fare=133.65<br>SHAP=-0.01",
-          "index=Denkoff, Mr. Mitto<br>Age=nan<br>Fare=7.8958<br>SHAP=0.01",
-          "index=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>Fare=134.5<br>SHAP=-0.01",
-          "index=Dimic, Mr. Jovan<br>Age=42.0<br>Fare=8.6625<br>SHAP=-0.02",
-          "index=del Carlo, Mr. Sebastiano<br>Age=29.0<br>Fare=27.7208<br>SHAP=0.0",
-          "index=Beavan, Mr. William Thomas<br>Age=19.0<br>Fare=8.05<br>SHAP=-0.0",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=nan<br>Fare=82.1708<br>SHAP=-0.01",
-          "index=Widener, Mr. Harry Elkins<br>Age=27.0<br>Fare=211.5<br>SHAP=0.01",
-          "index=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>Fare=7.775<br>SHAP=-0.0",
-          "index=Plotcharsky, Mr. Vasil<br>Age=nan<br>Fare=7.8958<br>SHAP=0.01",
-          "index=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>Fare=46.9<br>SHAP=0.03",
-          "index=Sadlier, Mr. Matthew<br>Age=nan<br>Fare=7.7292<br>SHAP=0.01",
-          "index=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>Fare=7.925<br>SHAP=0.0",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>Fare=16.7<br>SHAP=-0.0",
-          "index=Niskanen, Mr. Juha<br>Age=39.0<br>Fare=7.925<br>SHAP=-0.02",
-          "index=Minahan, Miss. Daisy E<br>Age=33.0<br>Fare=90.0<br>SHAP=0.0",
-          "index=Matthews, Mr. William John<br>Age=30.0<br>Fare=13.0<br>SHAP=0.0",
-          "index=Charters, Mr. David<br>Age=21.0<br>Fare=7.7333<br>SHAP=-0.0",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=19.0<br>Fare=26.0<br>SHAP=-0.0",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>Fare=26.25<br>SHAP=-0.01",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>Fare=8.1125<br>SHAP=0.01",
-          "index=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>Fare=30.5<br>SHAP=-0.05",
-          "index=Anderson, Mr. Harry<br>Age=48.0<br>Fare=26.55<br>SHAP=-0.04",
-          "index=Milling, Mr. Jacob Christian<br>Age=48.0<br>Fare=13.0<br>SHAP=-0.02",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>Fare=27.75<br>SHAP=-0.0",
-          "index=Karlsson, Mr. Nils August<br>Age=22.0<br>Fare=7.5208<br>SHAP=-0.0",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Age=nan<br>Fare=0.0<br>SHAP=0.01",
-          "index=Bishop, Mr. Dickinson H<br>Age=25.0<br>Fare=91.0792<br>SHAP=-0.01",
-          "index=Windelov, Mr. Einar<br>Age=21.0<br>Fare=7.25<br>SHAP=-0.0",
-          "index=Shellard, Mr. Frederick William<br>Age=nan<br>Fare=15.1<br>SHAP=0.02",
-          "index=Svensson, Mr. Olof<br>Age=24.0<br>Fare=7.7958<br>SHAP=0.0",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>Fare=7.6292<br>SHAP=0.01",
-          "index=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>Fare=9.5875<br>SHAP=-0.01",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>Fare=108.9<br>SHAP=0.02",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=nan<br>Fare=26.55<br>SHAP=0.02",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=36.0<br>Fare=26.0<br>SHAP=0.0",
-          "index=Kassem, Mr. Fared<br>Age=nan<br>Fare=7.2292<br>SHAP=0.01",
-          "index=Cacic, Miss. Marija<br>Age=30.0<br>Fare=8.6625<br>SHAP=0.01",
-          "index=Hart, Miss. Eva Miriam<br>Age=7.0<br>Fare=26.25<br>SHAP=0.02",
-          "index=Butt, Major. Archibald Willingham<br>Age=45.0<br>Fare=26.55<br>SHAP=-0.02",
-          "index=Beane, Mr. Edward<br>Age=32.0<br>Fare=26.0<br>SHAP=0.0",
-          "index=Goldsmith, Mr. Frank John<br>Age=33.0<br>Fare=20.525<br>SHAP=-0.02",
-          "index=Ohman, Miss. Velin<br>Age=22.0<br>Fare=7.775<br>SHAP=-0.0",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>Fare=79.65<br>SHAP=-0.0",
-          "index=Morrow, Mr. Thomas Rowan<br>Age=nan<br>Fare=7.75<br>SHAP=0.01",
-          "index=Harris, Mr. George<br>Age=62.0<br>Fare=10.5<br>SHAP=-0.01",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>Fare=51.4792<br>SHAP=-0.03",
-          "index=Patchett, Mr. George<br>Age=19.0<br>Fare=14.5<br>SHAP=-0.0",
-          "index=Ross, Mr. John Hugo<br>Age=36.0<br>Fare=40.125<br>SHAP=-0.0",
-          "index=Murdlin, Mr. Joseph<br>Age=nan<br>Fare=8.05<br>SHAP=0.01",
-          "index=Bourke, Miss. Mary<br>Age=nan<br>Fare=7.75<br>SHAP=0.01",
-          "index=Boulos, Mr. Hanna<br>Age=nan<br>Fare=7.225<br>SHAP=0.01",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Age=49.0<br>Fare=56.9292<br>SHAP=-0.03",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=35.0<br>Fare=26.55<br>SHAP=-0.01",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>Fare=15.55<br>SHAP=-0.01",
-          "index=Daniel, Mr. Robert Williams<br>Age=27.0<br>Fare=30.5<br>SHAP=0.0",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>Fare=41.5792<br>SHAP=0.0",
-          "index=Shutes, Miss. Elizabeth W<br>Age=40.0<br>Fare=153.4625<br>SHAP=-0.01",
-          "index=Jardin, Mr. Jose Neto<br>Age=nan<br>Fare=7.05<br>SHAP=0.01",
-          "index=Horgan, Mr. John<br>Age=nan<br>Fare=7.75<br>SHAP=0.01",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>Fare=16.1<br>SHAP=0.0",
-          "index=Yasbeck, Mr. Antoni<br>Age=27.0<br>Fare=14.4542<br>SHAP=0.0",
-          "index=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>Fare=7.8958<br>SHAP=0.0",
-          "index=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>Fare=7.0542<br>SHAP=-0.02",
-          "index=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>Fare=30.5<br>SHAP=0.01",
-          "index=Willey, Mr. Edward<br>Age=nan<br>Fare=7.55<br>SHAP=0.01",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>Fare=7.55<br>SHAP=-0.0",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Age=18.0<br>Fare=6.75<br>SHAP=-0.0",
-          "index=Eitemiller, Mr. George Floyd<br>Age=23.0<br>Fare=13.0<br>SHAP=-0.01",
-          "index=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>Fare=25.5875<br>SHAP=-0.04",
-          "index=Coleff, Mr. Peju<br>Age=36.0<br>Fare=7.4958<br>SHAP=-0.01",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>Fare=39.0<br>SHAP=-0.01",
-          "index=Davidson, Mr. Thornton<br>Age=31.0<br>Fare=52.0<br>SHAP=0.01",
-          "index=Turja, Miss. Anna Sofia<br>Age=18.0<br>Fare=9.8417<br>SHAP=0.0",
-          "index=Hassab, Mr. Hammad<br>Age=27.0<br>Fare=76.7292<br>SHAP=0.01",
-          "index=Goodwin, Mr. Charles Edward<br>Age=14.0<br>Fare=46.9<br>SHAP=0.0",
-          "index=Panula, Mr. Jaako Arnold<br>Age=14.0<br>Fare=39.6875<br>SHAP=0.01",
-          "index=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>Fare=7.7958<br>SHAP=0.0",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>Fare=7.65<br>SHAP=-0.03",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>Fare=227.525<br>SHAP=0.01",
-          "index=Hansen, Mr. Henrik Juul<br>Age=26.0<br>Fare=7.8542<br>SHAP=-0.0",
-          "index=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>Fare=26.2875<br>SHAP=-0.03",
-          "index=Klaber, Mr. Herman<br>Age=nan<br>Fare=26.55<br>SHAP=0.03",
-          "index=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>Fare=52.0<br>SHAP=-0.03",
-          "index=Larsson, Mr. August Viktor<br>Age=29.0<br>Fare=9.4833<br>SHAP=0.0",
-          "index=Greenberg, Mr. Samuel<br>Age=52.0<br>Fare=13.0<br>SHAP=-0.02",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Age=27.0<br>Fare=10.5<br>SHAP=0.02",
-          "index=McEvoy, Mr. Michael<br>Age=nan<br>Fare=15.5<br>SHAP=0.01",
-          "index=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>Fare=7.775<br>SHAP=-0.01",
-          "index=Gillespie, Mr. William Henry<br>Age=34.0<br>Fare=13.0<br>SHAP=-0.01",
-          "index=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>Fare=211.3375<br>SHAP=0.01",
-          "index=Berriman, Mr. William John<br>Age=23.0<br>Fare=13.0<br>SHAP=-0.01",
-          "index=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>Fare=13.0<br>SHAP=-0.01",
-          "index=Williams, Mr. Leslie<br>Age=28.5<br>Fare=16.1<br>SHAP=0.0",
-          "index=Ivanoff, Mr. Kanio<br>Age=nan<br>Fare=7.8958<br>SHAP=0.01",
-          "index=McNamee, Mr. Neal<br>Age=24.0<br>Fare=16.1<br>SHAP=-0.0",
-          "index=Connaghton, Mr. Michael<br>Age=31.0<br>Fare=7.75<br>SHAP=0.0",
-          "index=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>Fare=7.7958<br>SHAP=0.01",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>Fare=86.5<br>SHAP=0.01",
-          "index=Eklund, Mr. Hans Linus<br>Age=16.0<br>Fare=7.775<br>SHAP=0.01",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>Fare=77.9583<br>SHAP=-0.02",
-          "index=Moran, Mr. Daniel J<br>Age=nan<br>Fare=24.15<br>SHAP=0.02",
-          "index=Lievens, Mr. Rene Aime<br>Age=24.0<br>Fare=9.5<br>SHAP=0.0",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>Fare=211.3375<br>SHAP=-0.01",
-          "index=Ayoub, Miss. Banoura<br>Age=13.0<br>Fare=7.2292<br>SHAP=0.01",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>Fare=57.0<br>SHAP=0.01",
-          "index=Johnston, Mr. Andrew G<br>Age=nan<br>Fare=23.45<br>SHAP=0.04",
-          "index=Ali, Mr. William<br>Age=25.0<br>Fare=7.05<br>SHAP=0.0",
-          "index=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>Fare=7.4958<br>SHAP=0.0",
-          "index=Guggenheim, Mr. Benjamin<br>Age=46.0<br>Fare=79.2<br>SHAP=-0.02",
-          "index=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>Fare=25.9292<br>SHAP=-0.02",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>Fare=26.25<br>SHAP=0.0",
-          "index=Carter, Master. William Thornton II<br>Age=11.0<br>Fare=120.0<br>SHAP=0.04",
-          "index=Thomas, Master. Assad Alexander<br>Age=0.42<br>Fare=8.5167<br>SHAP=0.04",
-          "index=Johansson, Mr. Karl Johan<br>Age=31.0<br>Fare=7.775<br>SHAP=0.01",
-          "index=Slemen, Mr. Richard James<br>Age=35.0<br>Fare=10.5<br>SHAP=-0.01",
-          "index=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>Fare=8.05<br>SHAP=0.01",
-          "index=McCormack, Mr. Thomas Joseph<br>Age=nan<br>Fare=7.75<br>SHAP=0.01",
-          "index=Richards, Master. George Sibley<br>Age=0.83<br>Fare=18.75<br>SHAP=0.06",
-          "index=Mudd, Mr. Thomas Charles<br>Age=16.0<br>Fare=10.5<br>SHAP=0.0",
-          "index=Lemberopolous, Mr. Peter L<br>Age=34.5<br>Fare=6.4375<br>SHAP=-0.02",
-          "index=Sage, Mr. Douglas Bullen<br>Age=nan<br>Fare=69.55<br>SHAP=0.01",
-          "index=Boulos, Miss. Nourelain<br>Age=9.0<br>Fare=15.2458<br>SHAP=0.01",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>Fare=9.35<br>SHAP=0.0",
-          "index=Razi, Mr. Raihed<br>Age=nan<br>Fare=7.2292<br>SHAP=0.01",
-          "index=Johnson, Master. Harold Theodor<br>Age=4.0<br>Fare=11.1333<br>SHAP=0.05",
-          "index=Carlsson, Mr. Frans Olof<br>Age=33.0<br>Fare=5.0<br>SHAP=0.0",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>Fare=9.8458<br>SHAP=-0.0",
-          "index=Montvila, Rev. Juozas<br>Age=27.0<br>Fare=13.0<br>SHAP=0.0"
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Emily<br>Age=21.0<br>Fare=10.5<br>SHAP=-0.01\", \"index=Harris, Mr. Henry Birkhardt<br>Age=45.0<br>Fare=83.475<br>SHAP=-0.02\", \"index=Skoog, Master. Harald<br>Age=4.0<br>Fare=27.9<br>SHAP=0.03\", \"index=Kink, Mr. Vincenz<br>Age=26.0<br>Fare=8.6625<br>SHAP=-0.0\", \"index=Hood, Mr. Ambrose Jr<br>Age=21.0<br>Fare=73.5<br>SHAP=-0.01\", \"index=Ilett, Miss. Bertha<br>Age=17.0<br>Fare=10.5<br>SHAP=0.0\", \"index=Ford, Mr. William Neal<br>Age=16.0<br>Fare=34.375<br>SHAP=0.0\", \"index=Christmann, Mr. Emil<br>Age=29.0<br>Fare=8.05<br>SHAP=0.01\", \"index=Andreasson, Mr. Paul Edvin<br>Age=20.0<br>Fare=7.8542<br>SHAP=-0.0\", \"index=Chaffee, Mr. Herbert Fuller<br>Age=46.0<br>Fare=61.175<br>SHAP=-0.03\", \"index=Petroff, Mr. Pastcho (\\\"Pentcho\\\")<br>Age=nan<br>Fare=7.8958<br>SHAP=0.01\", \"index=White, Mr. Richard Frasar<br>Age=21.0<br>Fare=77.2875<br>SHAP=-0.0\", \"index=Rekic, Mr. Tido<br>Age=38.0<br>Fare=7.8958<br>SHAP=-0.02\", \"index=Moran, Miss. Bertha<br>Age=nan<br>Fare=24.15<br>SHAP=0.01\", \"index=Barton, Mr. David John<br>Age=22.0<br>Fare=8.05<br>SHAP=-0.0\", \"index=Jussila, Miss. Katriina<br>Age=20.0<br>Fare=9.825<br>SHAP=-0.01\", \"index=Pekoniemi, Mr. Edvard<br>Age=21.0<br>Fare=7.925<br>SHAP=-0.0\", \"index=Turpin, Mr. William John Robert<br>Age=29.0<br>Fare=21.0<br>SHAP=-0.0\", \"index=Moore, Mr. Leonard Charles<br>Age=nan<br>Fare=8.05<br>SHAP=0.01\", \"index=Osen, Mr. Olaf Elon<br>Age=16.0<br>Fare=9.2167<br>SHAP=0.01\", \"index=Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Age=9.0<br>Fare=34.375<br>SHAP=0.01\", \"index=Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Age=36.5<br>Fare=26.0<br>SHAP=-0.02\", \"index=Bateman, Rev. Robert James<br>Age=51.0<br>Fare=12.525<br>SHAP=-0.02\", \"index=Meo, Mr. Alfonzo<br>Age=55.5<br>Fare=8.05<br>SHAP=-0.02\", \"index=Cribb, Mr. John Hatfield<br>Age=44.0<br>Fare=16.1<br>SHAP=-0.03\", \"index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=nan<br>Fare=55.0<br>SHAP=0.01\", \"index=Van der hoef, Mr. Wyckoff<br>Age=61.0<br>Fare=33.5<br>SHAP=-0.03\", \"index=Sivola, Mr. Antti Wilhelm<br>Age=21.0<br>Fare=7.925<br>SHAP=-0.0\", \"index=Klasen, Mr. Klas Albin<br>Age=18.0<br>Fare=7.8542<br>SHAP=-0.01\", \"index=Rood, Mr. Hugh Roscoe<br>Age=nan<br>Fare=50.0<br>SHAP=0.02\", \"index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=19.0<br>Fare=7.8542<br>SHAP=-0.0\", \"index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>Fare=27.7208<br>SHAP=-0.02\", \"index=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>Fare=9.5<br>SHAP=0.01\", \"index=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>Fare=15.85<br>SHAP=-0.0\", \"index=Blank, Mr. Henry<br>Age=40.0<br>Fare=31.0<br>SHAP=-0.03\", \"index=Ali, Mr. Ahmed<br>Age=24.0<br>Fare=7.05<br>SHAP=0.0\", \"index=Green, Mr. George Henry<br>Age=51.0<br>Fare=8.05<br>SHAP=-0.02\", \"index=Nenkoff, Mr. Christo<br>Age=nan<br>Fare=7.8958<br>SHAP=0.01\", \"index=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>Fare=31.3875<br>SHAP=0.01\", \"index=Harknett, Miss. Alice Phoebe<br>Age=nan<br>Fare=7.55<br>SHAP=0.0\", \"index=Hunt, Mr. George Henry<br>Age=33.0<br>Fare=12.275<br>SHAP=-0.01\", \"index=Reed, Mr. James George<br>Age=nan<br>Fare=7.25<br>SHAP=0.01\", \"index=Stead, Mr. William Thomas<br>Age=62.0<br>Fare=26.55<br>SHAP=-0.05\", \"index=Thorne, Mrs. Gertrude Maybelle<br>Age=nan<br>Fare=79.2<br>SHAP=-0.02\", \"index=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>Fare=26.0<br>SHAP=-0.02\", \"index=Smith, Mr. Thomas<br>Age=nan<br>Fare=7.75<br>SHAP=0.01\", \"index=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>Fare=31.3875<br>SHAP=0.03\", \"index=Healy, Miss. Hanora \\\"Nora\\\"<br>Age=nan<br>Fare=7.75<br>SHAP=0.01\", \"index=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>Fare=77.9583<br>SHAP=-0.03\", \"index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>Fare=20.25<br>SHAP=-0.01\", \"index=Smith, Mr. Richard William<br>Age=nan<br>Fare=26.0<br>SHAP=0.02\", \"index=Connolly, Miss. Kate<br>Age=22.0<br>Fare=7.75<br>SHAP=-0.02\", \"index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>Fare=91.0792<br>SHAP=-0.0\", \"index=Levy, Mr. Rene Jacques<br>Age=36.0<br>Fare=12.875<br>SHAP=-0.01\", \"index=Lewy, Mr. Ervin G<br>Age=nan<br>Fare=27.7208<br>SHAP=0.02\", \"index=Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Age=nan<br>Fare=8.05<br>SHAP=0.01\", \"index=Sage, Mr. George John Jr<br>Age=nan<br>Fare=69.55<br>SHAP=0.01\", \"index=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>Fare=6.2375<br>SHAP=-0.02\", \"index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=nan<br>Fare=133.65<br>SHAP=-0.01\", \"index=Denkoff, Mr. Mitto<br>Age=nan<br>Fare=7.8958<br>SHAP=0.01\", \"index=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>Fare=134.5<br>SHAP=-0.01\", \"index=Dimic, Mr. Jovan<br>Age=42.0<br>Fare=8.6625<br>SHAP=-0.02\", \"index=del Carlo, Mr. Sebastiano<br>Age=29.0<br>Fare=27.7208<br>SHAP=0.0\", \"index=Beavan, Mr. William Thomas<br>Age=19.0<br>Fare=8.05<br>SHAP=-0.0\", \"index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=nan<br>Fare=82.1708<br>SHAP=-0.01\", \"index=Widener, Mr. Harry Elkins<br>Age=27.0<br>Fare=211.5<br>SHAP=0.01\", \"index=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>Fare=7.775<br>SHAP=-0.0\", \"index=Plotcharsky, Mr. Vasil<br>Age=nan<br>Fare=7.8958<br>SHAP=0.01\", \"index=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>Fare=46.9<br>SHAP=0.03\", \"index=Sadlier, Mr. Matthew<br>Age=nan<br>Fare=7.7292<br>SHAP=0.01\", \"index=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>Fare=7.925<br>SHAP=0.0\", \"index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>Fare=16.7<br>SHAP=-0.0\", \"index=Niskanen, Mr. Juha<br>Age=39.0<br>Fare=7.925<br>SHAP=-0.02\", \"index=Minahan, Miss. Daisy E<br>Age=33.0<br>Fare=90.0<br>SHAP=0.0\", \"index=Matthews, Mr. William John<br>Age=30.0<br>Fare=13.0<br>SHAP=0.0\", \"index=Charters, Mr. David<br>Age=21.0<br>Fare=7.7333<br>SHAP=-0.0\", \"index=Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Age=19.0<br>Fare=26.0<br>SHAP=-0.0\", \"index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>Fare=26.25<br>SHAP=-0.01\", \"index=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>Fare=8.1125<br>SHAP=0.01\", \"index=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>Fare=30.5<br>SHAP=-0.05\", \"index=Anderson, Mr. Harry<br>Age=48.0<br>Fare=26.55<br>SHAP=-0.04\", \"index=Milling, Mr. Jacob Christian<br>Age=48.0<br>Fare=13.0<br>SHAP=-0.02\", \"index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>Fare=27.75<br>SHAP=-0.0\", \"index=Karlsson, Mr. Nils August<br>Age=22.0<br>Fare=7.5208<br>SHAP=-0.0\", \"index=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Age=nan<br>Fare=0.0<br>SHAP=0.01\", \"index=Bishop, Mr. Dickinson H<br>Age=25.0<br>Fare=91.0792<br>SHAP=-0.01\", \"index=Windelov, Mr. Einar<br>Age=21.0<br>Fare=7.25<br>SHAP=-0.0\", \"index=Shellard, Mr. Frederick William<br>Age=nan<br>Fare=15.1<br>SHAP=0.02\", \"index=Svensson, Mr. Olof<br>Age=24.0<br>Fare=7.7958<br>SHAP=0.0\", \"index=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>Fare=7.6292<br>SHAP=0.01\", \"index=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>Fare=9.5875<br>SHAP=-0.01\", \"index=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>Fare=108.9<br>SHAP=0.02\", \"index=Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Age=nan<br>Fare=26.55<br>SHAP=0.02\", \"index=Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Age=36.0<br>Fare=26.0<br>SHAP=0.0\", \"index=Kassem, Mr. Fared<br>Age=nan<br>Fare=7.2292<br>SHAP=0.01\", \"index=Cacic, Miss. Marija<br>Age=30.0<br>Fare=8.6625<br>SHAP=0.01\", \"index=Hart, Miss. Eva Miriam<br>Age=7.0<br>Fare=26.25<br>SHAP=0.02\", \"index=Butt, Major. Archibald Willingham<br>Age=45.0<br>Fare=26.55<br>SHAP=-0.02\", \"index=Beane, Mr. Edward<br>Age=32.0<br>Fare=26.0<br>SHAP=0.0\", \"index=Goldsmith, Mr. Frank John<br>Age=33.0<br>Fare=20.525<br>SHAP=-0.02\", \"index=Ohman, Miss. Velin<br>Age=22.0<br>Fare=7.775<br>SHAP=-0.0\", \"index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>Fare=79.65<br>SHAP=-0.0\", \"index=Morrow, Mr. Thomas Rowan<br>Age=nan<br>Fare=7.75<br>SHAP=0.01\", \"index=Harris, Mr. George<br>Age=62.0<br>Fare=10.5<br>SHAP=-0.01\", \"index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>Fare=51.4792<br>SHAP=-0.03\", \"index=Patchett, Mr. George<br>Age=19.0<br>Fare=14.5<br>SHAP=-0.0\", \"index=Ross, Mr. John Hugo<br>Age=36.0<br>Fare=40.125<br>SHAP=-0.0\", \"index=Murdlin, Mr. Joseph<br>Age=nan<br>Fare=8.05<br>SHAP=0.01\", \"index=Bourke, Miss. Mary<br>Age=nan<br>Fare=7.75<br>SHAP=0.01\", \"index=Boulos, Mr. Hanna<br>Age=nan<br>Fare=7.225<br>SHAP=0.01\", \"index=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Age=49.0<br>Fare=56.9292<br>SHAP=-0.03\", \"index=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Age=35.0<br>Fare=26.55<br>SHAP=-0.01\", \"index=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>Fare=15.55<br>SHAP=-0.01\", \"index=Daniel, Mr. Robert Williams<br>Age=27.0<br>Fare=30.5<br>SHAP=0.0\", \"index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>Fare=41.5792<br>SHAP=0.0\", \"index=Shutes, Miss. Elizabeth W<br>Age=40.0<br>Fare=153.4625<br>SHAP=-0.01\", \"index=Jardin, Mr. Jose Neto<br>Age=nan<br>Fare=7.05<br>SHAP=0.01\", \"index=Horgan, Mr. John<br>Age=nan<br>Fare=7.75<br>SHAP=0.01\", \"index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>Fare=16.1<br>SHAP=0.0\", \"index=Yasbeck, Mr. Antoni<br>Age=27.0<br>Fare=14.4542<br>SHAP=0.0\", \"index=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>Fare=7.8958<br>SHAP=0.0\", \"index=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>Fare=7.0542<br>SHAP=-0.02\", \"index=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>Fare=30.5<br>SHAP=0.01\", \"index=Willey, Mr. Edward<br>Age=nan<br>Fare=7.55<br>SHAP=0.01\", \"index=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>Fare=7.55<br>SHAP=-0.0\", \"index=Hegarty, Miss. Hanora \\\"Nora\\\"<br>Age=18.0<br>Fare=6.75<br>SHAP=-0.0\", \"index=Eitemiller, Mr. George Floyd<br>Age=23.0<br>Fare=13.0<br>SHAP=-0.01\", \"index=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>Fare=25.5875<br>SHAP=-0.04\", \"index=Coleff, Mr. Peju<br>Age=36.0<br>Fare=7.4958<br>SHAP=-0.01\", \"index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>Fare=39.0<br>SHAP=-0.01\", \"index=Davidson, Mr. Thornton<br>Age=31.0<br>Fare=52.0<br>SHAP=0.01\", \"index=Turja, Miss. Anna Sofia<br>Age=18.0<br>Fare=9.8417<br>SHAP=0.0\", \"index=Hassab, Mr. Hammad<br>Age=27.0<br>Fare=76.7292<br>SHAP=0.01\", \"index=Goodwin, Mr. Charles Edward<br>Age=14.0<br>Fare=46.9<br>SHAP=0.0\", \"index=Panula, Mr. Jaako Arnold<br>Age=14.0<br>Fare=39.6875<br>SHAP=0.01\", \"index=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>Fare=7.7958<br>SHAP=0.0\", \"index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>Fare=7.65<br>SHAP=-0.03\", \"index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>Fare=227.525<br>SHAP=0.01\", \"index=Hansen, Mr. Henrik Juul<br>Age=26.0<br>Fare=7.8542<br>SHAP=-0.0\", \"index=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>Fare=26.2875<br>SHAP=-0.03\", \"index=Klaber, Mr. Herman<br>Age=nan<br>Fare=26.55<br>SHAP=0.03\", \"index=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>Fare=52.0<br>SHAP=-0.03\", \"index=Larsson, Mr. August Viktor<br>Age=29.0<br>Fare=9.4833<br>SHAP=0.0\", \"index=Greenberg, Mr. Samuel<br>Age=52.0<br>Fare=13.0<br>SHAP=-0.02\", \"index=Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Age=27.0<br>Fare=10.5<br>SHAP=0.02\", \"index=McEvoy, Mr. Michael<br>Age=nan<br>Fare=15.5<br>SHAP=0.01\", \"index=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>Fare=7.775<br>SHAP=-0.01\", \"index=Gillespie, Mr. William Henry<br>Age=34.0<br>Fare=13.0<br>SHAP=-0.01\", \"index=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>Fare=211.3375<br>SHAP=0.01\", \"index=Berriman, Mr. William John<br>Age=23.0<br>Fare=13.0<br>SHAP=-0.01\", \"index=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>Fare=13.0<br>SHAP=-0.01\", \"index=Williams, Mr. Leslie<br>Age=28.5<br>Fare=16.1<br>SHAP=0.0\", \"index=Ivanoff, Mr. Kanio<br>Age=nan<br>Fare=7.8958<br>SHAP=0.01\", \"index=McNamee, Mr. Neal<br>Age=24.0<br>Fare=16.1<br>SHAP=-0.0\", \"index=Connaghton, Mr. Michael<br>Age=31.0<br>Fare=7.75<br>SHAP=0.0\", \"index=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>Fare=7.7958<br>SHAP=0.01\", \"index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>Fare=86.5<br>SHAP=0.01\", \"index=Eklund, Mr. Hans Linus<br>Age=16.0<br>Fare=7.775<br>SHAP=0.01\", \"index=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>Fare=77.9583<br>SHAP=-0.02\", \"index=Moran, Mr. Daniel J<br>Age=nan<br>Fare=24.15<br>SHAP=0.02\", \"index=Lievens, Mr. Rene Aime<br>Age=24.0<br>Fare=9.5<br>SHAP=0.0\", \"index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>Fare=211.3375<br>SHAP=-0.01\", \"index=Ayoub, Miss. Banoura<br>Age=13.0<br>Fare=7.2292<br>SHAP=0.01\", \"index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>Fare=57.0<br>SHAP=0.01\", \"index=Johnston, Mr. Andrew G<br>Age=nan<br>Fare=23.45<br>SHAP=0.04\", \"index=Ali, Mr. William<br>Age=25.0<br>Fare=7.05<br>SHAP=0.0\", \"index=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>Fare=7.4958<br>SHAP=0.0\", \"index=Guggenheim, Mr. Benjamin<br>Age=46.0<br>Fare=79.2<br>SHAP=-0.02\", \"index=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>Fare=25.9292<br>SHAP=-0.02\", \"index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>Fare=26.25<br>SHAP=0.0\", \"index=Carter, Master. William Thornton II<br>Age=11.0<br>Fare=120.0<br>SHAP=0.04\", \"index=Thomas, Master. 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-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "explainer.plot_dependence(\", color_col=\"Fare\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Highlight particular index"
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-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-10-12T08:41:25.636504Z",
-     "start_time": "2020-10-12T08:41:25.613208Z"
-    }
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-   "outputs": [
-    {
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-   "source": [
-    "\n",
-    "explainer.plot_dependence(\", color_col=\"Sex\", highlight_index=5)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Shap interactions plots"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-10-12T08:41:30.720557Z",
-     "start_time": "2020-10-12T08:41:30.703298Z"
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-   "outputs": [
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-   "source": [
-    "explainer.plot_interaction(\"Sex\", \"PassengerClass\")"
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-          "index=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>Fare=30.5<br>SHAP=-0.01",
-          "index=Anderson, Mr. Harry<br>Age=48.0<br>Fare=26.55<br>SHAP=-0.0",
-          "index=Milling, Mr. Jacob Christian<br>Age=48.0<br>Fare=13.0<br>SHAP=0.0",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>Fare=27.75<br>SHAP=0.0",
-          "index=Karlsson, Mr. Nils August<br>Age=22.0<br>Fare=7.5208<br>SHAP=0.0",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Age=nan<br>Fare=0.0<br>SHAP=-0.0",
-          "index=Bishop, Mr. Dickinson H<br>Age=25.0<br>Fare=91.0792<br>SHAP=-0.0",
-          "index=Windelov, Mr. Einar<br>Age=21.0<br>Fare=7.25<br>SHAP=0.0",
-          "index=Shellard, Mr. Frederick William<br>Age=nan<br>Fare=15.1<br>SHAP=0.0",
-          "index=Svensson, Mr. Olof<br>Age=24.0<br>Fare=7.7958<br>SHAP=0.0",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>Fare=7.6292<br>SHAP=-0.0",
-          "index=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>Fare=9.5875<br>SHAP=-0.0",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>Fare=108.9<br>SHAP=-0.01",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=nan<br>Fare=26.55<br>SHAP=0.0",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=36.0<br>Fare=26.0<br>SHAP=0.0",
-          "index=Kassem, Mr. Fared<br>Age=nan<br>Fare=7.2292<br>SHAP=-0.0",
-          "index=Cacic, Miss. Marija<br>Age=30.0<br>Fare=8.6625<br>SHAP=0.0",
-          "index=Hart, Miss. Eva Miriam<br>Age=7.0<br>Fare=26.25<br>SHAP=0.0",
-          "index=Butt, Major. Archibald Willingham<br>Age=45.0<br>Fare=26.55<br>SHAP=-0.0",
-          "index=Beane, Mr. Edward<br>Age=32.0<br>Fare=26.0<br>SHAP=0.0",
-          "index=Goldsmith, Mr. Frank John<br>Age=33.0<br>Fare=20.525<br>SHAP=0.0",
-          "index=Ohman, Miss. Velin<br>Age=22.0<br>Fare=7.775<br>SHAP=0.0",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>Fare=79.65<br>SHAP=0.01",
-          "index=Morrow, Mr. Thomas Rowan<br>Age=nan<br>Fare=7.75<br>SHAP=-0.0",
-          "index=Harris, Mr. George<br>Age=62.0<br>Fare=10.5<br>SHAP=0.01",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>Fare=51.4792<br>SHAP=-0.0",
-          "index=Patchett, Mr. George<br>Age=19.0<br>Fare=14.5<br>SHAP=-0.0",
-          "index=Ross, Mr. John Hugo<br>Age=36.0<br>Fare=40.125<br>SHAP=0.0",
-          "index=Murdlin, Mr. Joseph<br>Age=nan<br>Fare=8.05<br>SHAP=-0.0",
-          "index=Bourke, Miss. Mary<br>Age=nan<br>Fare=7.75<br>SHAP=0.0",
-          "index=Boulos, Mr. Hanna<br>Age=nan<br>Fare=7.225<br>SHAP=-0.0",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Age=49.0<br>Fare=56.9292<br>SHAP=0.0",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=35.0<br>Fare=26.55<br>SHAP=0.0",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>Fare=15.55<br>SHAP=0.0",
-          "index=Daniel, Mr. Robert Williams<br>Age=27.0<br>Fare=30.5<br>SHAP=-0.0",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>Fare=41.5792<br>SHAP=0.0",
-          "index=Shutes, Miss. Elizabeth W<br>Age=40.0<br>Fare=153.4625<br>SHAP=0.01",
-          "index=Jardin, Mr. Jose Neto<br>Age=nan<br>Fare=7.05<br>SHAP=-0.0",
-          "index=Horgan, Mr. John<br>Age=nan<br>Fare=7.75<br>SHAP=-0.0",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>Fare=16.1<br>SHAP=-0.0",
-          "index=Yasbeck, Mr. Antoni<br>Age=27.0<br>Fare=14.4542<br>SHAP=-0.0",
-          "index=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>Fare=7.8958<br>SHAP=0.0",
-          "index=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>Fare=7.0542<br>SHAP=0.0",
-          "index=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>Fare=30.5<br>SHAP=0.0",
-          "index=Willey, Mr. Edward<br>Age=nan<br>Fare=7.55<br>SHAP=-0.0",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>Fare=7.55<br>SHAP=0.0",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Age=18.0<br>Fare=6.75<br>SHAP=-0.0",
-          "index=Eitemiller, Mr. George Floyd<br>Age=23.0<br>Fare=13.0<br>SHAP=-0.0",
-          "index=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>Fare=25.5875<br>SHAP=-0.0",
-          "index=Coleff, Mr. Peju<br>Age=36.0<br>Fare=7.4958<br>SHAP=-0.0",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>Fare=39.0<br>SHAP=-0.0",
-          "index=Davidson, Mr. Thornton<br>Age=31.0<br>Fare=52.0<br>SHAP=-0.0",
-          "index=Turja, Miss. Anna Sofia<br>Age=18.0<br>Fare=9.8417<br>SHAP=0.0",
-          "index=Hassab, Mr. Hammad<br>Age=27.0<br>Fare=76.7292<br>SHAP=-0.0",
-          "index=Goodwin, Mr. Charles Edward<br>Age=14.0<br>Fare=46.9<br>SHAP=-0.0",
-          "index=Panula, Mr. Jaako Arnold<br>Age=14.0<br>Fare=39.6875<br>SHAP=0.0",
-          "index=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>Fare=7.7958<br>SHAP=0.0",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>Fare=7.65<br>SHAP=-0.0",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>Fare=227.525<br>SHAP=-0.0",
-          "index=Hansen, Mr. Henrik Juul<br>Age=26.0<br>Fare=7.8542<br>SHAP=0.0",
-          "index=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>Fare=26.2875<br>SHAP=-0.0",
-          "index=Klaber, Mr. Herman<br>Age=nan<br>Fare=26.55<br>SHAP=0.0",
-          "index=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>Fare=52.0<br>SHAP=0.0",
-          "index=Larsson, Mr. August Viktor<br>Age=29.0<br>Fare=9.4833<br>SHAP=0.0",
-          "index=Greenberg, Mr. Samuel<br>Age=52.0<br>Fare=13.0<br>SHAP=0.0",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Age=27.0<br>Fare=10.5<br>SHAP=0.0",
-          "index=McEvoy, Mr. Michael<br>Age=nan<br>Fare=15.5<br>SHAP=0.0",
-          "index=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>Fare=7.775<br>SHAP=-0.0",
-          "index=Gillespie, Mr. William Henry<br>Age=34.0<br>Fare=13.0<br>SHAP=-0.0",
-          "index=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>Fare=211.3375<br>SHAP=0.0",
-          "index=Berriman, Mr. William John<br>Age=23.0<br>Fare=13.0<br>SHAP=-0.0",
-          "index=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>Fare=13.0<br>SHAP=-0.0",
-          "index=Williams, Mr. Leslie<br>Age=28.5<br>Fare=16.1<br>SHAP=-0.0",
-          "index=Ivanoff, Mr. Kanio<br>Age=nan<br>Fare=7.8958<br>SHAP=-0.0",
-          "index=McNamee, Mr. Neal<br>Age=24.0<br>Fare=16.1<br>SHAP=-0.0",
-          "index=Connaghton, Mr. Michael<br>Age=31.0<br>Fare=7.75<br>SHAP=-0.0",
-          "index=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>Fare=7.7958<br>SHAP=0.0",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>Fare=86.5<br>SHAP=0.0",
-          "index=Eklund, Mr. Hans Linus<br>Age=16.0<br>Fare=7.775<br>SHAP=0.0",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>Fare=77.9583<br>SHAP=0.0",
-          "index=Moran, Mr. Daniel J<br>Age=nan<br>Fare=24.15<br>SHAP=-0.0",
-          "index=Lievens, Mr. Rene Aime<br>Age=24.0<br>Fare=9.5<br>SHAP=0.0",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>Fare=211.3375<br>SHAP=0.0",
-          "index=Ayoub, Miss. Banoura<br>Age=13.0<br>Fare=7.2292<br>SHAP=-0.0",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>Fare=57.0<br>SHAP=-0.0",
-          "index=Johnston, Mr. Andrew G<br>Age=nan<br>Fare=23.45<br>SHAP=-0.0",
-          "index=Ali, Mr. William<br>Age=25.0<br>Fare=7.05<br>SHAP=0.0",
-          "index=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>Fare=7.4958<br>SHAP=0.0",
-          "index=Guggenheim, Mr. Benjamin<br>Age=46.0<br>Fare=79.2<br>SHAP=0.0",
-          "index=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>Fare=25.9292<br>SHAP=-0.0",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>Fare=26.25<br>SHAP=0.0",
-          "index=Carter, Master. William Thornton II<br>Age=11.0<br>Fare=120.0<br>SHAP=0.0",
-          "index=Thomas, Master. Assad Alexander<br>Age=0.42<br>Fare=8.5167<br>SHAP=0.0",
-          "index=Johansson, Mr. Karl Johan<br>Age=31.0<br>Fare=7.775<br>SHAP=0.0",
-          "index=Slemen, Mr. Richard James<br>Age=35.0<br>Fare=10.5<br>SHAP=-0.0",
-          "index=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>Fare=8.05<br>SHAP=0.0",
-          "index=McCormack, Mr. Thomas Joseph<br>Age=nan<br>Fare=7.75<br>SHAP=-0.0",
-          "index=Richards, Master. George Sibley<br>Age=0.83<br>Fare=18.75<br>SHAP=0.0",
-          "index=Mudd, Mr. Thomas Charles<br>Age=16.0<br>Fare=10.5<br>SHAP=-0.0",
-          "index=Lemberopolous, Mr. Peter L<br>Age=34.5<br>Fare=6.4375<br>SHAP=-0.0",
-          "index=Sage, Mr. Douglas Bullen<br>Age=nan<br>Fare=69.55<br>SHAP=-0.01",
-          "index=Boulos, Miss. Nourelain<br>Age=9.0<br>Fare=15.2458<br>SHAP=0.0",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>Fare=9.35<br>SHAP=0.0",
-          "index=Razi, Mr. Raihed<br>Age=nan<br>Fare=7.2292<br>SHAP=-0.0",
-          "index=Johnson, Master. Harold Theodor<br>Age=4.0<br>Fare=11.1333<br>SHAP=0.0",
-          "index=Carlsson, Mr. Frans Olof<br>Age=33.0<br>Fare=5.0<br>SHAP=-0.0",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>Fare=9.8458<br>SHAP=-0.0",
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Gosta Leonard<br>Age=2.0<br>Fare=21.075<br>SHAP=0.0\", \"index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=27.0<br>Fare=11.1333<br>SHAP=-0.0\", \"index=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>Fare=30.0708<br>SHAP=0.0\", \"index=Saundercock, Mr. William Henry<br>Age=20.0<br>Fare=8.05<br>SHAP=0.0\", \"index=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=14.0<br>Fare=7.8542<br>SHAP=0.0\", \"index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=38.0<br>Fare=31.3875<br>SHAP=0.0\", \"index=Glynn, Miss. Mary Agatha<br>Age=nan<br>Fare=7.75<br>SHAP=0.0\", \"index=Meyer, Mr. Edgar Joseph<br>Age=28.0<br>Fare=82.1708<br>SHAP=-0.0\", \"index=Kraeff, Mr. Theodor<br>Age=nan<br>Fare=7.8958<br>SHAP=-0.0\", \"index=Devaney, Miss. Margaret Delia<br>Age=19.0<br>Fare=7.8792<br>SHAP=0.0\", \"index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=18.0<br>Fare=17.8<br>SHAP=0.0\", \"index=Rugg, Miss. Emily<br>Age=21.0<br>Fare=10.5<br>SHAP=-0.0\", \"index=Harris, Mr. Henry Birkhardt<br>Age=45.0<br>Fare=83.475<br>SHAP=0.0\", \"index=Skoog, Master. Harald<br>Age=4.0<br>Fare=27.9<br>SHAP=-0.0\", \"index=Kink, Mr. Vincenz<br>Age=26.0<br>Fare=8.6625<br>SHAP=0.0\", \"index=Hood, Mr. Ambrose Jr<br>Age=21.0<br>Fare=73.5<br>SHAP=-0.0\", \"index=Ilett, Miss. Bertha<br>Age=17.0<br>Fare=10.5<br>SHAP=-0.0\", \"index=Ford, Mr. William Neal<br>Age=16.0<br>Fare=34.375<br>SHAP=-0.0\", \"index=Christmann, Mr. Emil<br>Age=29.0<br>Fare=8.05<br>SHAP=0.0\", \"index=Andreasson, Mr. Paul Edvin<br>Age=20.0<br>Fare=7.8542<br>SHAP=0.0\", \"index=Chaffee, Mr. Herbert Fuller<br>Age=46.0<br>Fare=61.175<br>SHAP=0.0\", \"index=Petroff, Mr. Pastcho (\\\"Pentcho\\\")<br>Age=nan<br>Fare=7.8958<br>SHAP=-0.0\", \"index=White, Mr. Richard Frasar<br>Age=21.0<br>Fare=77.2875<br>SHAP=-0.0\", \"index=Rekic, Mr. Tido<br>Age=38.0<br>Fare=7.8958<br>SHAP=-0.0\", \"index=Moran, Miss. Bertha<br>Age=nan<br>Fare=24.15<br>SHAP=0.0\", \"index=Barton, Mr. David John<br>Age=22.0<br>Fare=8.05<br>SHAP=0.0\", \"index=Jussila, Miss. Katriina<br>Age=20.0<br>Fare=9.825<br>SHAP=-0.0\", \"index=Pekoniemi, Mr. Edvard<br>Age=21.0<br>Fare=7.925<br>SHAP=0.0\", \"index=Turpin, Mr. William John Robert<br>Age=29.0<br>Fare=21.0<br>SHAP=-0.0\", \"index=Moore, Mr. Leonard Charles<br>Age=nan<br>Fare=8.05<br>SHAP=-0.0\", \"index=Osen, Mr. Olaf Elon<br>Age=16.0<br>Fare=9.2167<br>SHAP=0.0\", \"index=Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Age=9.0<br>Fare=34.375<br>SHAP=-0.0\", \"index=Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Age=36.5<br>Fare=26.0<br>SHAP=0.0\", \"index=Bateman, Rev. Robert James<br>Age=51.0<br>Fare=12.525<br>SHAP=0.0\", \"index=Meo, Mr. Alfonzo<br>Age=55.5<br>Fare=8.05<br>SHAP=0.0\", \"index=Cribb, Mr. John Hatfield<br>Age=44.0<br>Fare=16.1<br>SHAP=-0.0\", \"index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=nan<br>Fare=55.0<br>SHAP=-0.0\", \"index=Van der hoef, Mr. Wyckoff<br>Age=61.0<br>Fare=33.5<br>SHAP=-0.01\", \"index=Sivola, Mr. Antti Wilhelm<br>Age=21.0<br>Fare=7.925<br>SHAP=0.0\", \"index=Klasen, Mr. Klas Albin<br>Age=18.0<br>Fare=7.8542<br>SHAP=0.0\", \"index=Rood, Mr. Hugh Roscoe<br>Age=nan<br>Fare=50.0<br>SHAP=0.0\", \"index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=19.0<br>Fare=7.8542<br>SHAP=0.0\", \"index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>Fare=27.7208<br>SHAP=-0.0\", \"index=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>Fare=9.5<br>SHAP=0.0\", \"index=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>Fare=15.85<br>SHAP=-0.0\", \"index=Blank, Mr. Henry<br>Age=40.0<br>Fare=31.0<br>SHAP=-0.01\", \"index=Ali, Mr. Ahmed<br>Age=24.0<br>Fare=7.05<br>SHAP=0.0\", \"index=Green, Mr. George Henry<br>Age=51.0<br>Fare=8.05<br>SHAP=0.0\", \"index=Nenkoff, Mr. Christo<br>Age=nan<br>Fare=7.8958<br>SHAP=-0.0\", \"index=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>Fare=31.3875<br>SHAP=-0.0\", \"index=Harknett, Miss. Alice Phoebe<br>Age=nan<br>Fare=7.55<br>SHAP=0.0\", \"index=Hunt, Mr. George Henry<br>Age=33.0<br>Fare=12.275<br>SHAP=-0.0\", \"index=Reed, Mr. James George<br>Age=nan<br>Fare=7.25<br>SHAP=-0.0\", \"index=Stead, Mr. William Thomas<br>Age=62.0<br>Fare=26.55<br>SHAP=-0.0\", \"index=Thorne, Mrs. Gertrude Maybelle<br>Age=nan<br>Fare=79.2<br>SHAP=-0.01\", \"index=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>Fare=26.0<br>SHAP=-0.0\", \"index=Smith, Mr. Thomas<br>Age=nan<br>Fare=7.75<br>SHAP=-0.0\", \"index=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>Fare=31.3875<br>SHAP=-0.0\", \"index=Healy, Miss. Hanora \\\"Nora\\\"<br>Age=nan<br>Fare=7.75<br>SHAP=0.0\", \"index=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>Fare=77.9583<br>SHAP=0.0\", \"index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>Fare=20.25<br>SHAP=-0.0\", \"index=Smith, Mr. Richard William<br>Age=nan<br>Fare=26.0<br>SHAP=0.0\", \"index=Connolly, Miss. Kate<br>Age=22.0<br>Fare=7.75<br>SHAP=0.0\", \"index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>Fare=91.0792<br>SHAP=-0.0\", \"index=Levy, Mr. Rene Jacques<br>Age=36.0<br>Fare=12.875<br>SHAP=-0.0\", \"index=Lewy, Mr. Ervin G<br>Age=nan<br>Fare=27.7208<br>SHAP=0.0\", \"index=Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Age=nan<br>Fare=8.05<br>SHAP=-0.0\", \"index=Sage, Mr. George John Jr<br>Age=nan<br>Fare=69.55<br>SHAP=-0.01\", \"index=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>Fare=6.2375<br>SHAP=0.0\", \"index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=nan<br>Fare=133.65<br>SHAP=-0.01\", \"index=Denkoff, Mr. Mitto<br>Age=nan<br>Fare=7.8958<br>SHAP=-0.0\", \"index=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>Fare=134.5<br>SHAP=0.01\", \"index=Dimic, Mr. Jovan<br>Age=42.0<br>Fare=8.6625<br>SHAP=-0.0\", \"index=del Carlo, Mr. Sebastiano<br>Age=29.0<br>Fare=27.7208<br>SHAP=-0.0\", \"index=Beavan, Mr. William Thomas<br>Age=19.0<br>Fare=8.05<br>SHAP=0.0\", \"index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=nan<br>Fare=82.1708<br>SHAP=-0.01\", \"index=Widener, Mr. Harry Elkins<br>Age=27.0<br>Fare=211.5<br>SHAP=-0.0\", \"index=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>Fare=7.775<br>SHAP=0.0\", \"index=Plotcharsky, Mr. Vasil<br>Age=nan<br>Fare=7.8958<br>SHAP=-0.0\", \"index=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>Fare=46.9<br>SHAP=-0.0\", \"index=Sadlier, Mr. Matthew<br>Age=nan<br>Fare=7.7292<br>SHAP=-0.0\", \"index=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>Fare=7.925<br>SHAP=0.0\", \"index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>Fare=16.7<br>SHAP=-0.0\", \"index=Niskanen, Mr. Juha<br>Age=39.0<br>Fare=7.925<br>SHAP=-0.0\", \"index=Minahan, Miss. Daisy E<br>Age=33.0<br>Fare=90.0<br>SHAP=0.0\", \"index=Matthews, Mr. William John<br>Age=30.0<br>Fare=13.0<br>SHAP=-0.0\", \"index=Charters, Mr. David<br>Age=21.0<br>Fare=7.7333<br>SHAP=0.0\", \"index=Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Age=19.0<br>Fare=26.0<br>SHAP=0.0\", \"index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>Fare=26.25<br>SHAP=-0.0\", \"index=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>Fare=8.1125<br>SHAP=-0.0\", \"index=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>Fare=30.5<br>SHAP=-0.01\", \"index=Anderson, Mr. Harry<br>Age=48.0<br>Fare=26.55<br>SHAP=-0.0\", \"index=Milling, Mr. Jacob Christian<br>Age=48.0<br>Fare=13.0<br>SHAP=0.0\", \"index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>Fare=27.75<br>SHAP=0.0\", \"index=Karlsson, Mr. Nils August<br>Age=22.0<br>Fare=7.5208<br>SHAP=0.0\", \"index=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Age=nan<br>Fare=0.0<br>SHAP=-0.0\", \"index=Bishop, Mr. Dickinson H<br>Age=25.0<br>Fare=91.0792<br>SHAP=-0.0\", \"index=Windelov, Mr. Einar<br>Age=21.0<br>Fare=7.25<br>SHAP=0.0\", \"index=Shellard, Mr. Frederick William<br>Age=nan<br>Fare=15.1<br>SHAP=0.0\", \"index=Svensson, Mr. Olof<br>Age=24.0<br>Fare=7.7958<br>SHAP=0.0\", \"index=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>Fare=7.6292<br>SHAP=-0.0\", \"index=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>Fare=9.5875<br>SHAP=-0.0\", \"index=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>Fare=108.9<br>SHAP=-0.01\", \"index=Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Age=nan<br>Fare=26.55<br>SHAP=0.0\", \"index=Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Age=36.0<br>Fare=26.0<br>SHAP=0.0\", \"index=Kassem, Mr. Fared<br>Age=nan<br>Fare=7.2292<br>SHAP=-0.0\", \"index=Cacic, Miss. Marija<br>Age=30.0<br>Fare=8.6625<br>SHAP=0.0\", \"index=Hart, Miss. Eva Miriam<br>Age=7.0<br>Fare=26.25<br>SHAP=0.0\", \"index=Butt, Major. Archibald Willingham<br>Age=45.0<br>Fare=26.55<br>SHAP=-0.0\", \"index=Beane, Mr. Edward<br>Age=32.0<br>Fare=26.0<br>SHAP=0.0\", \"index=Goldsmith, Mr. Frank John<br>Age=33.0<br>Fare=20.525<br>SHAP=0.0\", \"index=Ohman, Miss. Velin<br>Age=22.0<br>Fare=7.775<br>SHAP=0.0\", \"index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>Fare=79.65<br>SHAP=0.01\", \"index=Morrow, Mr. Thomas Rowan<br>Age=nan<br>Fare=7.75<br>SHAP=-0.0\", \"index=Harris, Mr. George<br>Age=62.0<br>Fare=10.5<br>SHAP=0.01\", \"index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>Fare=51.4792<br>SHAP=-0.0\", \"index=Patchett, Mr. George<br>Age=19.0<br>Fare=14.5<br>SHAP=-0.0\", \"index=Ross, Mr. John Hugo<br>Age=36.0<br>Fare=40.125<br>SHAP=0.0\", \"index=Murdlin, Mr. Joseph<br>Age=nan<br>Fare=8.05<br>SHAP=-0.0\", \"index=Bourke, Miss. Mary<br>Age=nan<br>Fare=7.75<br>SHAP=0.0\", \"index=Boulos, Mr. Hanna<br>Age=nan<br>Fare=7.225<br>SHAP=-0.0\", \"index=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Age=49.0<br>Fare=56.9292<br>SHAP=0.0\", \"index=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Age=35.0<br>Fare=26.55<br>SHAP=0.0\", \"index=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>Fare=15.55<br>SHAP=0.0\", \"index=Daniel, Mr. Robert Williams<br>Age=27.0<br>Fare=30.5<br>SHAP=-0.0\", \"index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>Fare=41.5792<br>SHAP=0.0\", \"index=Shutes, Miss. Elizabeth W<br>Age=40.0<br>Fare=153.4625<br>SHAP=0.01\", \"index=Jardin, Mr. Jose Neto<br>Age=nan<br>Fare=7.05<br>SHAP=-0.0\", \"index=Horgan, Mr. John<br>Age=nan<br>Fare=7.75<br>SHAP=-0.0\", \"index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>Fare=16.1<br>SHAP=-0.0\", \"index=Yasbeck, Mr. Antoni<br>Age=27.0<br>Fare=14.4542<br>SHAP=-0.0\", \"index=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>Fare=7.8958<br>SHAP=0.0\", \"index=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>Fare=7.0542<br>SHAP=0.0\", \"index=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>Fare=30.5<br>SHAP=0.0\", \"index=Willey, Mr. Edward<br>Age=nan<br>Fare=7.55<br>SHAP=-0.0\", \"index=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>Fare=7.55<br>SHAP=0.0\", \"index=Hegarty, Miss. Hanora \\\"Nora\\\"<br>Age=18.0<br>Fare=6.75<br>SHAP=-0.0\", \"index=Eitemiller, Mr. George Floyd<br>Age=23.0<br>Fare=13.0<br>SHAP=-0.0\", \"index=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>Fare=25.5875<br>SHAP=-0.0\", \"index=Coleff, Mr. Peju<br>Age=36.0<br>Fare=7.4958<br>SHAP=-0.0\", \"index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>Fare=39.0<br>SHAP=-0.0\", \"index=Davidson, Mr. Thornton<br>Age=31.0<br>Fare=52.0<br>SHAP=-0.0\", \"index=Turja, Miss. Anna Sofia<br>Age=18.0<br>Fare=9.8417<br>SHAP=0.0\", \"index=Hassab, Mr. Hammad<br>Age=27.0<br>Fare=76.7292<br>SHAP=-0.0\", \"index=Goodwin, Mr. Charles Edward<br>Age=14.0<br>Fare=46.9<br>SHAP=-0.0\", \"index=Panula, Mr. Jaako Arnold<br>Age=14.0<br>Fare=39.6875<br>SHAP=0.0\", \"index=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>Fare=7.7958<br>SHAP=0.0\", \"index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>Fare=7.65<br>SHAP=-0.0\", \"index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>Fare=227.525<br>SHAP=-0.0\", \"index=Hansen, Mr. Henrik Juul<br>Age=26.0<br>Fare=7.8542<br>SHAP=0.0\", \"index=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>Fare=26.2875<br>SHAP=-0.0\", \"index=Klaber, Mr. Herman<br>Age=nan<br>Fare=26.55<br>SHAP=0.0\", \"index=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>Fare=52.0<br>SHAP=0.0\", \"index=Larsson, Mr. August Viktor<br>Age=29.0<br>Fare=9.4833<br>SHAP=0.0\", \"index=Greenberg, Mr. Samuel<br>Age=52.0<br>Fare=13.0<br>SHAP=0.0\", \"index=Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Age=27.0<br>Fare=10.5<br>SHAP=0.0\", \"index=McEvoy, Mr. Michael<br>Age=nan<br>Fare=15.5<br>SHAP=0.0\", \"index=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>Fare=7.775<br>SHAP=-0.0\", \"index=Gillespie, Mr. William Henry<br>Age=34.0<br>Fare=13.0<br>SHAP=-0.0\", \"index=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>Fare=211.3375<br>SHAP=0.0\", \"index=Berriman, Mr. William John<br>Age=23.0<br>Fare=13.0<br>SHAP=-0.0\", \"index=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>Fare=13.0<br>SHAP=-0.0\", \"index=Williams, Mr. Leslie<br>Age=28.5<br>Fare=16.1<br>SHAP=-0.0\", \"index=Ivanoff, Mr. Kanio<br>Age=nan<br>Fare=7.8958<br>SHAP=-0.0\", \"index=McNamee, Mr. Neal<br>Age=24.0<br>Fare=16.1<br>SHAP=-0.0\", \"index=Connaghton, Mr. Michael<br>Age=31.0<br>Fare=7.75<br>SHAP=-0.0\", \"index=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>Fare=7.7958<br>SHAP=0.0\", \"index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>Fare=86.5<br>SHAP=0.0\", \"index=Eklund, Mr. Hans Linus<br>Age=16.0<br>Fare=7.775<br>SHAP=0.0\", \"index=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>Fare=77.9583<br>SHAP=0.0\", \"index=Moran, Mr. Daniel J<br>Age=nan<br>Fare=24.15<br>SHAP=-0.0\", \"index=Lievens, Mr. Rene Aime<br>Age=24.0<br>Fare=9.5<br>SHAP=0.0\", \"index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>Fare=211.3375<br>SHAP=0.0\", \"index=Ayoub, Miss. Banoura<br>Age=13.0<br>Fare=7.2292<br>SHAP=-0.0\", \"index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>Fare=57.0<br>SHAP=-0.0\", \"index=Johnston, Mr. Andrew G<br>Age=nan<br>Fare=23.45<br>SHAP=-0.0\", \"index=Ali, Mr. William<br>Age=25.0<br>Fare=7.05<br>SHAP=0.0\", \"index=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>Fare=7.4958<br>SHAP=0.0\", \"index=Guggenheim, Mr. Benjamin<br>Age=46.0<br>Fare=79.2<br>SHAP=0.0\", \"index=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>Fare=25.9292<br>SHAP=-0.0\", \"index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>Fare=26.25<br>SHAP=0.0\", \"index=Carter, Master. William Thornton II<br>Age=11.0<br>Fare=120.0<br>SHAP=0.0\", \"index=Thomas, Master. Assad Alexander<br>Age=0.42<br>Fare=8.5167<br>SHAP=0.0\", \"index=Johansson, Mr. Karl Johan<br>Age=31.0<br>Fare=7.775<br>SHAP=0.0\", \"index=Slemen, Mr. Richard James<br>Age=35.0<br>Fare=10.5<br>SHAP=-0.0\", \"index=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>Fare=8.05<br>SHAP=0.0\", \"index=McCormack, Mr. Thomas Joseph<br>Age=nan<br>Fare=7.75<br>SHAP=-0.0\", \"index=Richards, Master. George Sibley<br>Age=0.83<br>Fare=18.75<br>SHAP=0.0\", \"index=Mudd, Mr. Thomas Charles<br>Age=16.0<br>Fare=10.5<br>SHAP=-0.0\", \"index=Lemberopolous, Mr. Peter L<br>Age=34.5<br>Fare=6.4375<br>SHAP=-0.0\", \"index=Sage, Mr. Douglas Bullen<br>Age=nan<br>Fare=69.55<br>SHAP=-0.01\", \"index=Boulos, Miss. Nourelain<br>Age=9.0<br>Fare=15.2458<br>SHAP=0.0\", \"index=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>Fare=9.35<br>SHAP=0.0\", \"index=Razi, Mr. Raihed<br>Age=nan<br>Fare=7.2292<br>SHAP=-0.0\", \"index=Johnson, Master. 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-    "explainer.plot_interaction(\"Fare\", \"Age\", highlight_index=name)"
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-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Fare=31.3875<br>Age=38.0<br>SHAP=0.0",
-          "index=Meyer, Mr. Edgar Joseph<br>Fare=82.1708<br>Age=28.0<br>SHAP=-0.0",
-          "index=Devaney, Miss. Margaret Delia<br>Fare=7.8792<br>Age=19.0<br>SHAP=0.0",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Fare=17.8<br>Age=18.0<br>SHAP=0.0",
-          "index=Rugg, Miss. Emily<br>Fare=10.5<br>Age=21.0<br>SHAP=-0.0",
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-          "index=Turpin, Mr. William John Robert<br>Fare=21.0<br>Age=29.0<br>SHAP=-0.0",
-          "index=Osen, Mr. Olaf Elon<br>Fare=9.2167<br>Age=16.0<br>SHAP=0.0",
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-          "index=Colley, Mr. Edward Pomeroy<br>Fare=25.5875<br>Age=47.0<br>SHAP=-0.0",
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-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Fare=10.5<br>Age=27.0<br>SHAP=0.0",
-          "index=Johnson, Mr. Malkolm Joackim<br>Fare=7.775<br>Age=33.0<br>SHAP=-0.0",
-          "index=Gillespie, Mr. William Henry<br>Fare=13.0<br>Age=34.0<br>SHAP=-0.0",
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-   "source": [
-    "explainer.plot_interaction(\"Age\", \"Fare\")"
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-   "source": [
-    "## partial dependence plots (pdp)"
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-  },
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-   "metadata": {},
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-    "### Plot average general partial dependence plot with ice lines for specific observations"
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+       "                            \n",
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "explainer.plot_pdp(\"Fare\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T15:59:35.340890Z",
+     "start_time": "2021-01-20T15:59:35.165755Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
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+   ],
+   "source": [
+    "explainer.plot_pdp(\"Deck\", sort='alphabet')"
+   ]
+  },
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+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T15:59:46.023656Z",
+     "start_time": "2021-01-20T15:59:45.851236Z"
+    }
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+   "outputs": [
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-   "source": [
-    "explainer.plot_pdp(\"Sex\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### highlight pdp for specific observation"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-10-12T08:41:41.227440Z",
-     "start_time": "2020-10-12T08:41:41.052198Z"
-    }
-   },
-   "outputs": [
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-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Saundercock, Mr. William Henry\n",
-      "Calculating prediction probabilities...\n"
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+       "                            \n",
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+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
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+       "            observer.disconnect();\n",
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+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
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+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "explainer.plot_pdp(\"Deck\", sort='freq')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### highlight pdp for specific observation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T15:59:51.854925Z",
+     "start_time": "2021-01-20T15:59:51.631292Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Saundercock, Mr. William Henry\n"
+     ]
+    },
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-       "                            \n",
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-   "source": [
-    "name = test_names[5]\n",
-    "print(name)\n",
-    "explainer.plot_pdp(\"Fare\", name)"
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-  },
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-   "metadata": {},
-   "source": [
-    "### with default parameters:"
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-     "start_time": "2020-10-12T08:41:45.017277Z"
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+       "                            \n",
+       "var gd = document.getElementById('19aa6cec-5338-42ef-9d2f-1db232356e51');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "name = test_names[5]\n",
+    "print(name)\n",
+    "explainer.plot_pdp(\"Fare\", name)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### with default parameters:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T16:00:00.090912Z",
+     "start_time": "2021-01-20T15:59:59.882517Z"
+    }
+   },
+   "outputs": [
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-    "explainer.plot_pdp(\"Age\", index=5, drop_na=True, sample=100,\n",
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-    "### adjusting parameters:\n",
-    "\n",
-    "- `drop_na=False` no longer drop values equal to self.na_fill (-999 by default)\n",
-    "- `sample=200` sample 200 samples for calculating the average\n",
-    "- `gridlines=10`  display 10 additional grid lines\n",
-    "- `gridpoints=50` take 50 points along the x axis to calculate the lines"
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        "                            \n",
-       "var gd = document.getElementById('4bad3549-b388-40f8-8a6d-8b01e07f19f7');\n",
+       "var gd = document.getElementById('763c4128-0dd0-4cc6-b741-be09910e193b');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
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@@ -57733,15 +40125,20 @@
     }
    ],
    "source": [
-    "explainer.plot_pdp(\"Age\", index=5, drop_na=False, sample=200,\n",
-    "                    gridlines=10, gridpoints=50)"
+    "explainer.plot_pdp(\"Age\", index=5, drop_na=True, sample=100,\n",
+    "                    gridlines=100, gridpoints=10)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Classification validation plots:"
+    "### adjusting parameters:\n",
+    "\n",
+    "- `drop_na=False` no longer drop values equal to self.na_fill (-999 by default)\n",
+    "- `sample=200` sample 200 samples for calculating the average\n",
+    "- `gridlines=10`  display 10 additional grid lines\n",
+    "- `gridpoints=50` take 50 points along the x axis to calculate the lines"
    ]
   },
   {
@@ -57749,90 +40146,8 @@
    "execution_count": 35,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:41:49.701746Z",
-     "start_time": "2020-10-12T08:41:49.692175Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'accuracy': 0.76,\n",
-       " 'precision': 1.0,\n",
-       " 'recall': 0.3424657534246575,\n",
-       " 'f1': 0.5102040816326531,\n",
-       " 'roc_auc_score': 0.8807571998705641,\n",
-       " 'pr_auc_score': 0.8578670897475903,\n",
-       " 'log_loss': 0.4129140935196902}"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "explainer.metrics(cutoff=0.8)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-10-12T08:41:53.287458Z",
-     "start_time": "2020-10-12T08:41:53.282351Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Calculating pred_percentiles...\n"
-     ]
-    },
-    {
-     "data": {
-      "text/markdown": [
-       "###### Prediction:\n",
-       "\n",
-       "Actual Survival: Survived\n",
-       "\n",
-       "Prediction probabilities per label:\n",
-       "\n",
-       "* Not survived: 41.89% \n",
-       "* Survived: 58.11% \n",
-       "\n",
-       "In top 24.0% percentile probability Survived"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Markdown object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from IPython.display import display, Markdown\n",
-    "display(Markdown(explainer.prediction_result_markdown(test_names[3])))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### confusion matrix"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-10-12T08:41:58.484642Z",
-     "start_time": "2020-10-12T08:41:58.467271Z"
+     "end_time": "2021-01-20T16:00:05.010307Z",
+     "start_time": "2021-01-20T16:00:04.630342Z"
     }
    },
    "outputs": [
@@ -57844,553 +40159,1129 @@
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-         "type": "heatmap",
+         "line": {
+          "color": "grey",
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+         },
+         "mode": "lines+markers",
+         "name": "average prediction <br>for different values of <br>Age",
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-         "text": "Confusion Matrix"
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Age\"}, \"xaxis\": {\"title\": {\"text\": \"Age\"}}, \"yaxis\": {\"title\": {\"text\": \"Predicted Survival (Predicted %)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('d9eefbbb-7045-4517-9ad8-a2380d12c3c6');\n",
+       "var gd = document.getElementById('cfc7f7e9-f60d-4403-9d8f-d6f5a5660ca2');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -58462,23 +41339,134 @@
     }
    ],
    "source": [
-    "explainer.plot_precision(quantiles=10, cutoff=0.75, multiclass=True)"
+    "explainer.plot_pdp(\"Age\", index=5, drop_na=False, sample=200,\n",
+    "                    gridlines=10, gridpoints=50)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Cumulative precision"
+    "## Classification validation plots:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 36,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T16:00:10.564467Z",
+     "start_time": "2021-01-20T16:00:10.537801Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Calculating prediction probabilities...\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{'accuracy': 0.75,\n",
+       " 'precision': 1.0,\n",
+       " 'recall': 0.3150684931506849,\n",
+       " 'f1': 0.4791666666666667,\n",
+       " 'roc_auc_score': 0.8889548053068708,\n",
+       " 'pr_auc_score': 0.8594408754346096,\n",
+       " 'log_loss': 0.415704739488635}"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "explainer.metrics(cutoff=0.8)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T16:00:28.570687Z",
+     "start_time": "2021-01-20T16:00:28.561242Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>label</th>\n",
+       "      <th>probability</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Not survived</td>\n",
+       "      <td>0.523</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Survived*</td>\n",
+       "      <td>0.477</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          label  probability\n",
+       "0  Not survived        0.523\n",
+       "1     Survived*        0.477"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "explainer.prediction_result_df(test_names[3])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### confusion matrix"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
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-     "end_time": "2020-10-12T08:42:27.521179Z",
-     "start_time": "2020-10-12T08:42:27.487524Z"
+     "end_time": "2021-01-20T16:00:32.796720Z",
+     "start_time": "2021-01-20T16:00:32.763026Z"
     }
    },
    "outputs": [
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+         "text": "Confusion Matrix"
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+        "xaxis": {
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+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
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+      ]
+     },
+     "metadata": {},
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+    }
+   ],
+   "source": [
+    "explainer.plot_confusion_matrix(cutoff=0.5, normalized=False, binary=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### For multiclass classifiers, `binary=False` would display e.g. a 3x3 confusion matrix\n",
+    "- in this case it's a binary classifier, so binary=False makes no difference"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### precision plot\n",
+    "- if the classifier works well the predicted probability should be the same as the observed probability per bin, so we would expect a nice straight line from 0 to 1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### based on bin size:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T16:00:42.801236Z",
+     "start_time": "2021-01-20T16:00:42.689224Z"
+    }
+   },
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+        "title": {
+         "text": "percentage Survived vs predicted probability"
+        },
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+         "title": {
+          "text": "predicted probability"
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+        },
+        "yaxis": {
+         "title": {
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+        "yaxis2": {
+         "overlaying": "y",
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+       "            Plotly.purge(gd);\n",
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+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
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+       "\n",
+       "// Listen for the clearing of the current output cell\n",
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "explainer.plot_precision(bin_size=0.1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### based on quantiles, showing all classes, adding in a cutoff value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T16:00:45.541995Z",
+     "start_time": "2021-01-20T16:00:45.491124Z"
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+     "data": {
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+         "text": "percentage Survived vs predicted probability"
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+         "title": {
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+         "overlaying": "y",
+         "rangemode": "tozero",
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+         "tickfont": {
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+         "title": {
+          "font": {
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+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
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+      ]
+     },
+     "metadata": {},
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+   ],
+   "source": [
+    "explainer.plot_precision(quantiles=10, cutoff=0.75, multiclass=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Cumulative precision"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T16:00:47.838566Z",
+     "start_time": "2021-01-20T16:00:47.798482Z"
+    }
+   },
+   "outputs": [
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-   "source": [
-    "explainer.plot_cumulative_precision()"
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-   "metadata": {},
-   "source": [
-    "### lift curve"
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-   "execution_count": 41,
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-     "end_time": "2020-10-12T08:42:29.052295Z",
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         {
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          "hoverinfo": "text",
-         "name": "model",
+         "name": "Not survived",
          "text": [
-          "model selected 1 positives out of 1<br>precision=100.0<br>lift=2.74",
-          "model selected 2 positives out of 2<br>precision=100.0<br>lift=2.74",
-          "model selected 3 positives out of 3<br>precision=100.0<br>lift=2.74",
-          "model selected 4 positives out of 4<br>precision=100.0<br>lift=2.74",
-          "model selected 5 positives out of 5<br>precision=100.0<br>lift=2.74",
-          "model selected 6 positives out of 6<br>precision=100.0<br>lift=2.74",
-          "model selected 7 positives out of 7<br>precision=100.0<br>lift=2.74",
-          "model selected 8 positives out of 8<br>precision=100.0<br>lift=2.74",
-          "model selected 9 positives out of 9<br>precision=100.0<br>lift=2.74",
-          "model selected 10 positives out of 10<br>precision=100.0<br>lift=2.74",
-          "model selected 11 positives out of 11<br>precision=100.0<br>lift=2.74",
-          "model selected 12 positives out of 12<br>precision=100.0<br>lift=2.74",
-          "model selected 13 positives out of 13<br>precision=100.0<br>lift=2.74",
-          "model selected 14 positives out of 14<br>precision=100.0<br>lift=2.74",
-          "model selected 15 positives out of 15<br>precision=100.0<br>lift=2.74",
-          "model selected 16 positives out of 16<br>precision=100.0<br>lift=2.74",
-          "model selected 17 positives out of 17<br>precision=100.0<br>lift=2.74",
-          "model selected 18 positives out of 18<br>precision=100.0<br>lift=2.74",
-          "model selected 19 positives out of 19<br>precision=100.0<br>lift=2.74",
-          "model selected 20 positives out of 20<br>precision=100.0<br>lift=2.74",
-          "model selected 21 positives out of 21<br>precision=100.0<br>lift=2.74",
-          "model selected 22 positives out of 22<br>precision=100.0<br>lift=2.74",
-          "model selected 23 positives out of 23<br>precision=100.0<br>lift=2.74",
-          "model selected 24 positives out of 24<br>precision=100.0<br>lift=2.74",
-          "model selected 25 positives out of 25<br>precision=100.0<br>lift=2.74",
-          "model selected 26 positives out of 26<br>precision=100.0<br>lift=2.74",
-          "model selected 27 positives out of 27<br>precision=100.0<br>lift=2.74",
-          "model selected 28 positives out of 28<br>precision=100.0<br>lift=2.74",
-          "model selected 29 positives out of 29<br>precision=100.0<br>lift=2.74",
-          "model selected 30 positives out of 30<br>precision=100.0<br>lift=2.74",
-          "model selected 31 positives out of 31<br>precision=100.0<br>lift=2.74",
-          "model selected 32 positives out of 32<br>precision=100.0<br>lift=2.74",
-          "model selected 33 positives out of 33<br>precision=100.0<br>lift=2.74",
-          "model selected 34 positives out of 34<br>precision=100.0<br>lift=2.74",
-          "model selected 34 positives out of 35<br>precision=97.14<br>lift=2.66",
-          "model selected 34 positives out of 36<br>precision=94.44<br>lift=2.59",
-          "model selected 35 positives out of 37<br>precision=94.59<br>lift=2.59",
-          "model selected 35 positives out of 38<br>precision=92.11<br>lift=2.52",
-          "model selected 36 positives out of 39<br>precision=92.31<br>lift=2.53",
-          "model selected 37 positives out of 40<br>precision=92.5<br>lift=2.53",
-          "model selected 38 positives out of 41<br>precision=92.68<br>lift=2.54",
-          "model selected 39 positives out of 42<br>precision=92.86<br>lift=2.54",
-          "model selected 40 positives out of 43<br>precision=93.02<br>lift=2.55",
-          "model selected 40 positives out of 44<br>precision=90.91<br>lift=2.49",
-          "model selected 40 positives out of 45<br>precision=88.89<br>lift=2.44",
-          "model selected 41 positives out of 46<br>precision=89.13<br>lift=2.44",
-          "model selected 41 positives out of 47<br>precision=87.23<br>lift=2.39",
-          "model selected 42 positives out of 48<br>precision=87.5<br>lift=2.4",
-          "model selected 43 positives out of 49<br>precision=87.76<br>lift=2.4",
-          "model selected 44 positives out of 50<br>precision=88.0<br>lift=2.41",
-          "model selected 44 positives out of 51<br>precision=86.27<br>lift=2.36",
-          "model selected 44 positives out of 52<br>precision=84.62<br>lift=2.32",
-          "model selected 45 positives out of 53<br>precision=84.91<br>lift=2.33",
-          "model selected 46 positives out of 54<br>precision=85.19<br>lift=2.33",
-          "model selected 47 positives out of 55<br>precision=85.45<br>lift=2.34",
-          "model selected 47 positives out of 56<br>precision=83.93<br>lift=2.3",
-          "model selected 48 positives out of 57<br>precision=84.21<br>lift=2.31",
-          "model selected 48 positives out of 58<br>precision=82.76<br>lift=2.27",
-          "model selected 49 positives out of 59<br>precision=83.05<br>lift=2.28",
-          "model selected 50 positives out of 60<br>precision=83.33<br>lift=2.28",
-          "model selected 50 positives out of 61<br>precision=81.97<br>lift=2.25",
-          "model selected 50 positives out of 62<br>precision=80.65<br>lift=2.21",
-          "model selected 51 positives out of 63<br>precision=80.95<br>lift=2.22",
-          "model selected 51 positives out of 64<br>precision=79.69<br>lift=2.18",
-          "model selected 51 positives out of 65<br>precision=78.46<br>lift=2.15",
-          "model selected 52 positives out of 66<br>precision=78.79<br>lift=2.16",
-          "model selected 53 positives out of 67<br>precision=79.1<br>lift=2.17",
-          "model selected 53 positives out of 68<br>precision=77.94<br>lift=2.14",
-          "model selected 53 positives out of 69<br>precision=76.81<br>lift=2.1",
-          "model selected 53 positives out of 70<br>precision=75.71<br>lift=2.07",
-          "model selected 53 positives out of 71<br>precision=74.65<br>lift=2.05",
-          "model selected 53 positives out of 72<br>precision=73.61<br>lift=2.02",
-          "model selected 54 positives out of 73<br>precision=73.97<br>lift=2.03",
-          "model selected 54 positives out of 74<br>precision=72.97<br>lift=2.0",
-          "model selected 54 positives out of 75<br>precision=72.0<br>lift=1.97",
-          "model selected 54 positives out of 76<br>precision=71.05<br>lift=1.95",
-          "model selected 55 positives out of 77<br>precision=71.43<br>lift=1.96",
-          "model selected 55 positives out of 78<br>precision=70.51<br>lift=1.93",
-          "model selected 55 positives out of 79<br>precision=69.62<br>lift=1.91",
-          "model selected 56 positives out of 80<br>precision=70.0<br>lift=1.92",
-          "model selected 57 positives out of 81<br>precision=70.37<br>lift=1.93",
-          "model selected 58 positives out of 82<br>precision=70.73<br>lift=1.94",
-          "model selected 58 positives out of 83<br>precision=69.88<br>lift=1.91",
-          "model selected 58 positives out of 84<br>precision=69.05<br>lift=1.89",
-          "model selected 58 positives out of 85<br>precision=68.24<br>lift=1.87",
-          "model selected 59 positives out of 86<br>precision=68.6<br>lift=1.88",
-          "model selected 60 positives out of 87<br>precision=68.97<br>lift=1.89",
-          "model selected 61 positives out of 88<br>precision=69.32<br>lift=1.9",
-          "model selected 61 positives out of 89<br>precision=68.54<br>lift=1.88",
-          "model selected 61 positives out of 90<br>precision=67.78<br>lift=1.86",
-          "model selected 61 positives out of 91<br>precision=67.03<br>lift=1.84",
-          "model selected 62 positives out of 92<br>precision=67.39<br>lift=1.85",
-          "model selected 62 positives out of 93<br>precision=66.67<br>lift=1.83",
-          "model selected 62 positives out of 94<br>precision=65.96<br>lift=1.81",
-          "model selected 62 positives out of 95<br>precision=65.26<br>lift=1.79",
-          "model selected 62 positives out of 96<br>precision=64.58<br>lift=1.77",
-          "model selected 62 positives out of 97<br>precision=63.92<br>lift=1.75",
-          "model selected 62 positives out of 98<br>precision=63.27<br>lift=1.73",
-          "model selected 62 positives out of 99<br>precision=62.63<br>lift=1.72",
-          "model selected 62 positives out of 100<br>precision=62.0<br>lift=1.7",
-          "model selected 62 positives out of 101<br>precision=61.39<br>lift=1.68",
-          "model selected 63 positives out of 102<br>precision=61.76<br>lift=1.69",
-          "model selected 64 positives out of 103<br>precision=62.14<br>lift=1.7",
-          "model selected 65 positives out of 104<br>precision=62.5<br>lift=1.71",
-          "model selected 65 positives out of 105<br>precision=61.9<br>lift=1.7",
-          "model selected 65 positives out of 106<br>precision=61.32<br>lift=1.68",
-          "model selected 65 positives out of 107<br>precision=60.75<br>lift=1.66",
-          "model selected 65 positives out of 108<br>precision=60.19<br>lift=1.65",
-          "model selected 65 positives out of 109<br>precision=59.63<br>lift=1.63",
-          "model selected 65 positives out of 110<br>precision=59.09<br>lift=1.62",
-          "model selected 66 positives out of 111<br>precision=59.46<br>lift=1.63",
-          "model selected 67 positives out of 112<br>precision=59.82<br>lift=1.64",
-          "model selected 67 positives out of 113<br>precision=59.29<br>lift=1.62",
-          "model selected 67 positives out of 114<br>precision=58.77<br>lift=1.61",
-          "model selected 67 positives out of 115<br>precision=58.26<br>lift=1.6",
-          "model selected 67 positives out of 116<br>precision=57.76<br>lift=1.58",
-          "model selected 68 positives out of 117<br>precision=58.12<br>lift=1.59",
-          "model selected 68 positives out of 118<br>precision=57.63<br>lift=1.58",
-          "model selected 68 positives out of 119<br>precision=57.14<br>lift=1.57",
-          "model selected 68 positives out of 120<br>precision=56.67<br>lift=1.55",
-          "model selected 68 positives out of 121<br>precision=56.2<br>lift=1.54",
-          "model selected 68 positives out of 122<br>precision=55.74<br>lift=1.53",
-          "model selected 68 positives out of 123<br>precision=55.28<br>lift=1.51",
-          "model selected 68 positives out of 124<br>precision=54.84<br>lift=1.5",
-          "model selected 69 positives out of 125<br>precision=55.2<br>lift=1.51",
-          "model selected 69 positives out of 126<br>precision=54.76<br>lift=1.5",
-          "model selected 69 positives out of 127<br>precision=54.33<br>lift=1.49",
-          "model selected 69 positives out of 128<br>precision=53.91<br>lift=1.48",
-          "model selected 69 positives out of 129<br>precision=53.49<br>lift=1.47",
-          "model selected 69 positives out of 130<br>precision=53.08<br>lift=1.45",
-          "model selected 69 positives out of 131<br>precision=52.67<br>lift=1.44",
-          "model selected 69 positives out of 132<br>precision=52.27<br>lift=1.43",
-          "model selected 69 positives out of 133<br>precision=51.88<br>lift=1.42",
-          "model selected 69 positives out of 134<br>precision=51.49<br>lift=1.41",
-          "model selected 69 positives out of 135<br>precision=51.11<br>lift=1.4",
-          "model selected 69 positives out of 136<br>precision=50.74<br>lift=1.39",
-          "model selected 69 positives out of 137<br>precision=50.36<br>lift=1.38",
-          "model selected 69 positives out of 138<br>precision=50.0<br>lift=1.37",
-          "model selected 69 positives out of 139<br>precision=49.64<br>lift=1.36",
-          "model selected 69 positives out of 140<br>precision=49.29<br>lift=1.35",
-          "model selected 69 positives out of 141<br>precision=48.94<br>lift=1.34",
-          "model selected 69 positives out of 142<br>precision=48.59<br>lift=1.33",
-          "model selected 69 positives out of 143<br>precision=48.25<br>lift=1.32",
-          "model selected 69 positives out of 144<br>precision=47.92<br>lift=1.31",
-          "model selected 69 positives out of 145<br>precision=47.59<br>lift=1.3",
-          "model selected 69 positives out of 146<br>precision=47.26<br>lift=1.29",
-          "model selected 69 positives out of 147<br>precision=46.94<br>lift=1.29",
-          "model selected 69 positives out of 148<br>precision=46.62<br>lift=1.28",
-          "model selected 69 positives out of 149<br>precision=46.31<br>lift=1.27",
-          "model selected 69 positives out of 150<br>precision=46.0<br>lift=1.26",
-          "model selected 69 positives out of 151<br>precision=45.7<br>lift=1.25",
-          "model selected 69 positives out of 152<br>precision=45.39<br>lift=1.24",
-          "model selected 69 positives out of 153<br>precision=45.1<br>lift=1.24",
-          "model selected 69 positives out of 154<br>precision=44.81<br>lift=1.23",
-          "model selected 69 positives out of 155<br>precision=44.52<br>lift=1.22",
-          "model selected 69 positives out of 156<br>precision=44.23<br>lift=1.21",
-          "model selected 69 positives out of 157<br>precision=43.95<br>lift=1.2",
-          "model selected 69 positives out of 158<br>precision=43.67<br>lift=1.2",
-          "model selected 69 positives out of 159<br>precision=43.4<br>lift=1.19",
-          "model selected 69 positives out of 160<br>precision=43.12<br>lift=1.18",
-          "model selected 69 positives out of 161<br>precision=42.86<br>lift=1.17",
-          "model selected 69 positives out of 162<br>precision=42.59<br>lift=1.17",
-          "model selected 69 positives out of 163<br>precision=42.33<br>lift=1.16",
-          "model selected 70 positives out of 164<br>precision=42.68<br>lift=1.17",
-          "model selected 70 positives out of 165<br>precision=42.42<br>lift=1.16",
-          "model selected 70 positives out of 166<br>precision=42.17<br>lift=1.16",
-          "model selected 70 positives out of 167<br>precision=41.92<br>lift=1.15",
-          "model selected 70 positives out of 168<br>precision=41.67<br>lift=1.14",
-          "model selected 70 positives out of 169<br>precision=41.42<br>lift=1.13",
-          "model selected 70 positives out of 170<br>precision=41.18<br>lift=1.13",
-          "model selected 70 positives out of 171<br>precision=40.94<br>lift=1.12",
-          "model selected 70 positives out of 172<br>precision=40.7<br>lift=1.12",
-          "model selected 70 positives out of 173<br>precision=40.46<br>lift=1.11",
-          "model selected 70 positives out of 174<br>precision=40.23<br>lift=1.1",
-          "model selected 70 positives out of 175<br>precision=40.0<br>lift=1.1",
-          "model selected 70 positives out of 176<br>precision=39.77<br>lift=1.09",
-          "model selected 70 positives out of 177<br>precision=39.55<br>lift=1.08",
-          "model selected 70 positives out of 178<br>precision=39.33<br>lift=1.08",
-          "model selected 71 positives out of 179<br>precision=39.66<br>lift=1.09",
-          "model selected 71 positives out of 180<br>precision=39.44<br>lift=1.08",
-          "model selected 71 positives out of 181<br>precision=39.23<br>lift=1.07",
-          "model selected 71 positives out of 182<br>precision=39.01<br>lift=1.07",
-          "model selected 71 positives out of 183<br>precision=38.8<br>lift=1.06",
-          "model selected 71 positives out of 184<br>precision=38.59<br>lift=1.06",
-          "model selected 71 positives out of 185<br>precision=38.38<br>lift=1.05",
-          "model selected 72 positives out of 186<br>precision=38.71<br>lift=1.06",
-          "model selected 72 positives out of 187<br>precision=38.5<br>lift=1.05",
-          "model selected 72 positives out of 188<br>precision=38.3<br>lift=1.05",
-          "model selected 72 positives out of 189<br>precision=38.1<br>lift=1.04",
-          "model selected 72 positives out of 190<br>precision=37.89<br>lift=1.04",
-          "model selected 73 positives out of 191<br>precision=38.22<br>lift=1.05",
-          "model selected 73 positives out of 192<br>precision=38.02<br>lift=1.04",
-          "model selected 73 positives out of 193<br>precision=37.82<br>lift=1.04",
-          "model selected 73 positives out of 194<br>precision=37.63<br>lift=1.03",
-          "model selected 73 positives out of 195<br>precision=37.44<br>lift=1.03",
-          "model selected 73 positives out of 196<br>precision=37.24<br>lift=1.02",
-          "model selected 73 positives out of 197<br>precision=37.06<br>lift=1.02",
-          "model selected 73 positives out of 198<br>precision=36.87<br>lift=1.01",
-          "model selected 73 positives out of 199<br>precision=36.68<br>lift=1.01",
-          "model selected 73 positives out of 200<br>precision=36.5<br>lift=1.0"
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=0.00%",
+          "percentage Not survived=3.23%",
+          "percentage Not survived=3.12%",
+          "percentage Not survived=3.03%",
+          "percentage Not survived=2.94%",
+          "percentage Not survived=2.86%",
+          "percentage Not survived=5.56%",
+          "percentage Not survived=5.41%",
+          "percentage Not survived=5.26%",
+          "percentage Not survived=5.13%",
+          "percentage Not survived=5.00%",
+          "percentage Not survived=4.88%",
+          "percentage Not survived=4.76%",
+          "percentage Not survived=4.65%",
+          "percentage Not survived=6.82%",
+          "percentage Not survived=8.89%",
+          "percentage Not survived=10.87%",
+          "percentage Not survived=12.77%",
+          "percentage Not survived=12.50%",
+          "percentage Not survived=14.29%",
+          "percentage Not survived=16.00%",
+          "percentage Not survived=17.65%",
+          "percentage Not survived=17.31%",
+          "percentage Not survived=16.98%",
+          "percentage Not survived=16.67%",
+          "percentage Not survived=18.18%",
+          "percentage Not survived=17.86%",
+          "percentage Not survived=19.30%",
+          "percentage Not survived=18.97%",
+          "percentage Not survived=20.34%",
+          "percentage Not survived=21.67%",
+          "percentage Not survived=21.31%",
+          "percentage Not survived=20.97%",
+          "percentage Not survived=20.63%",
+          "percentage Not survived=20.31%",
+          "percentage Not survived=21.54%",
+          "percentage Not survived=22.73%",
+          "percentage Not survived=22.39%",
+          "percentage Not survived=23.53%",
+          "percentage Not survived=24.64%",
+          "percentage Not survived=24.29%",
+          "percentage Not survived=25.35%",
+          "percentage Not survived=25.00%",
+          "percentage Not survived=26.03%",
+          "percentage Not survived=27.03%",
+          "percentage Not survived=26.67%",
+          "percentage Not survived=27.63%",
+          "percentage Not survived=28.57%",
+          "percentage Not survived=29.49%",
+          "percentage Not survived=30.38%",
+          "percentage Not survived=30.00%",
+          "percentage Not survived=30.86%",
+          "percentage Not survived=30.49%",
+          "percentage Not survived=31.33%",
+          "percentage Not survived=32.14%",
+          "percentage Not survived=31.76%",
+          "percentage Not survived=31.40%",
+          "percentage Not survived=32.18%",
+          "percentage Not survived=32.95%",
+          "percentage Not survived=32.58%",
+          "percentage Not survived=32.22%",
+          "percentage Not survived=31.87%",
+          "percentage Not survived=32.61%",
+          "percentage Not survived=33.33%",
+          "percentage Not survived=34.04%",
+          "percentage Not survived=33.68%",
+          "percentage Not survived=33.33%",
+          "percentage Not survived=34.02%",
+          "percentage Not survived=33.67%",
+          "percentage Not survived=34.34%",
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+        "template": {
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+        "title": {
+         "font": {
+          "size": 18
+         },
+         "text": "Cumulative percentage per category when sampling top X%",
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+        "xaxis": {
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+         "range": [
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+         "spikemode": "across",
+         "title": {
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+         }
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+        "yaxis": {
+         "title": {
+          "text": "Cumulative precision per category"
+         }
+        }
+       }
+      },
+      "text/html": [
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\"percentage Not survived=10.87%\", \"percentage Not survived=12.77%\", \"percentage Not survived=12.50%\", \"percentage Not survived=14.29%\", \"percentage Not survived=16.00%\", \"percentage Not survived=17.65%\", \"percentage Not survived=17.31%\", \"percentage Not survived=16.98%\", \"percentage Not survived=16.67%\", \"percentage Not survived=18.18%\", \"percentage Not survived=17.86%\", \"percentage Not survived=19.30%\", \"percentage Not survived=18.97%\", \"percentage Not survived=20.34%\", \"percentage Not survived=21.67%\", \"percentage Not survived=21.31%\", \"percentage Not survived=20.97%\", \"percentage Not survived=20.63%\", \"percentage Not survived=20.31%\", \"percentage Not survived=21.54%\", \"percentage Not survived=22.73%\", \"percentage Not survived=22.39%\", \"percentage Not survived=23.53%\", \"percentage Not survived=24.64%\", \"percentage Not survived=24.29%\", \"percentage Not survived=25.35%\", \"percentage Not survived=25.00%\", \"percentage Not 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\"percentage Not survived=34.65%\", \"percentage Not survived=34.31%\", \"percentage Not survived=34.95%\", \"percentage Not survived=35.58%\", \"percentage Not survived=36.19%\", \"percentage Not survived=35.85%\", \"percentage Not survived=36.45%\", \"percentage Not survived=37.04%\", \"percentage Not survived=37.61%\", \"percentage Not survived=38.18%\", \"percentage Not survived=38.74%\", \"percentage Not survived=39.29%\", \"percentage Not survived=39.82%\", \"percentage Not survived=40.35%\", \"percentage Not survived=40.87%\", \"percentage Not survived=41.38%\", \"percentage Not survived=41.88%\", \"percentage Not survived=42.37%\", \"percentage Not survived=42.02%\", \"percentage Not survived=42.50%\", \"percentage Not survived=42.98%\", \"percentage Not survived=43.44%\", \"percentage Not survived=43.90%\", \"percentage Not survived=44.35%\", \"percentage Not survived=44.80%\", \"percentage Not survived=45.24%\", \"percentage Not survived=45.67%\", \"percentage Not 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\"percentage Not survived=54.49%\", \"percentage Not survived=54.78%\", \"percentage Not survived=55.06%\", \"percentage Not survived=55.35%\", \"percentage Not survived=55.62%\", \"percentage Not survived=55.90%\", \"percentage Not survived=56.17%\", \"percentage Not survived=56.44%\", \"percentage Not survived=56.71%\", \"percentage Not survived=56.97%\", \"percentage Not survived=57.23%\", \"percentage Not survived=57.49%\", \"percentage Not survived=57.74%\", \"percentage Not survived=57.99%\", \"percentage Not survived=58.24%\", \"percentage Not survived=58.48%\", \"percentage Not survived=58.72%\", \"percentage Not survived=58.96%\", \"percentage Not survived=59.20%\", \"percentage Not survived=59.43%\", \"percentage Not survived=59.66%\", \"percentage Not survived=59.89%\", \"percentage Not survived=60.11%\", \"percentage Not survived=60.34%\", \"percentage Not survived=60.56%\", \"percentage Not survived=60.22%\", \"percentage Not survived=60.44%\", \"percentage Not survived=60.66%\", \"percentage Not survived=60.87%\", \"percentage Not survived=61.08%\", \"percentage Not survived=61.29%\", \"percentage Not survived=61.50%\", \"percentage Not survived=61.70%\", \"percentage Not survived=61.90%\", \"percentage Not survived=62.11%\", \"percentage Not survived=62.30%\", \"percentage Not survived=62.50%\", \"percentage Not survived=62.69%\", \"percentage Not survived=62.89%\", \"percentage Not survived=63.08%\", \"percentage Not survived=62.76%\", \"percentage Not survived=62.94%\", \"percentage Not survived=63.13%\", \"percentage Not survived=63.32%\", \"percentage Not survived=63.50%\"], \"type\": \"scatter\", \"x\": [0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 6.0, 6.5, 7.0, 7.5, 8.0, 8.5, 9.0, 9.5, 10.0, 10.5, 11.0, 11.5, 12.0, 12.5, 13.0, 13.5, 14.0, 14.5, 15.0, 15.5, 16.0, 16.5, 17.0, 17.5, 18.0, 18.5, 19.0, 19.5, 20.0, 20.5, 21.0, 21.5, 22.0, 22.5, 23.0, 23.5, 24.0, 24.5, 25.0, 25.5, 26.0, 26.5, 27.0, 27.5, 28.0, 28.5, 29.0, 29.5, 30.0, 30.5, 31.0, 31.5, 32.0, 32.5, 33.0, 33.5, 34.0, 34.5, 35.0, 35.5, 36.0, 36.5, 37.0, 37.5, 38.0, 38.5, 39.0, 39.5, 40.0, 40.5, 41.0, 41.5, 42.0, 42.5, 43.0, 43.5, 44.0, 44.5, 45.0, 45.5, 46.0, 46.5, 47.0, 47.5, 48.0, 48.5, 49.0, 49.5, 50.0, 50.5, 51.0, 51.5, 52.0, 52.5, 53.0, 53.5, 54.0, 54.5, 55.0, 55.5, 56.0, 56.5, 57.0, 57.5, 58.0, 58.5, 59.0, 59.5, 60.0, 60.5, 61.0, 61.5, 62.0, 62.5, 63.0, 63.5, 64.0, 64.5, 65.0, 65.5, 66.0, 66.5, 67.0, 67.5, 68.0, 68.5, 69.0, 69.5, 70.0, 70.5, 71.0, 71.5, 72.0, 72.5, 73.0, 73.5, 74.0, 74.5, 75.0, 75.5, 76.0, 76.5, 77.0, 77.5, 78.0, 78.5, 79.0, 79.5, 80.0, 80.5, 81.0, 81.5, 82.0, 82.5, 83.0, 83.5, 84.0, 84.5, 85.0, 85.5, 86.0, 86.5, 87.0, 87.5, 88.0, 88.5, 89.0, 89.5, 90.0, 90.5, 91.0, 91.5, 92.0, 92.5, 93.0, 93.5, 94.0, 94.5, 95.0, 95.5, 96.0, 96.5, 97.0, 97.5, 98.0, 98.5, 99.0, 99.5, 100.0], \"y\": [100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0]}],                        {\"hovermode\": \"x\", \"plot_bgcolor\": \"#fff\", \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"font\": {\"size\": 18}, \"text\": \"Cumulative percentage per category when sampling top X%\", \"x\": 0.5}, \"xaxis\": {\"nticks\": 10, \"range\": [0, 100], \"spikemode\": \"across\", \"title\": {\"text\": \"Top X% model scores\"}}, \"yaxis\": {\"title\": {\"text\": \"Cumulative precision per category\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('41d42658-a693-49ed-82f1-75759ed1f807');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "explainer.plot_cumulative_precision()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### lift curve"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T16:00:50.023958Z",
+     "start_time": "2021-01-20T16:00:49.992476Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "name": "perfect",
+         "type": "scatter",
+         "x": [
+          0,
           73,
+          200
+         ],
+         "y": [
+          0,
           73,
           73
          ]
         },
         {
          "hoverinfo": "text",
-         "name": "random",
+         "name": "model",
          "text": [
-          "random selected 0 positives out of 1<br>precision=36.5",
-          "random selected 1 positives out of 2<br>precision=36.5",
-          "random selected 1 positives out of 3<br>precision=36.5",
-          "random selected 1 positives out of 4<br>precision=36.5",
-          "random selected 2 positives out of 5<br>precision=36.5",
-          "random selected 2 positives out of 6<br>precision=36.5",
-          "random selected 3 positives out of 7<br>precision=36.5",
-          "random selected 3 positives out of 8<br>precision=36.5",
-          "random selected 3 positives out of 9<br>precision=36.5",
-          "random selected 4 positives out of 10<br>precision=36.5",
-          "random selected 4 positives out of 11<br>precision=36.5",
-          "random selected 4 positives out of 12<br>precision=36.5",
-          "random selected 5 positives out of 13<br>precision=36.5",
-          "random selected 5 positives out of 14<br>precision=36.5",
-          "random selected 5 positives out of 15<br>precision=36.5",
-          "random selected 6 positives out of 16<br>precision=36.5",
-          "random selected 6 positives out of 17<br>precision=36.5",
-          "random selected 7 positives out of 18<br>precision=36.5",
-          "random selected 7 positives out of 19<br>precision=36.5",
-          "random selected 7 positives out of 20<br>precision=36.5",
-          "random selected 8 positives out of 21<br>precision=36.5",
-          "random selected 8 positives out of 22<br>precision=36.5",
-          "random selected 8 positives out of 23<br>precision=36.5",
-          "random selected 9 positives out of 24<br>precision=36.5",
-          "random selected 9 positives out of 25<br>precision=36.5",
-          "random selected 9 positives out of 26<br>precision=36.5",
-          "random selected 10 positives out of 27<br>precision=36.5",
-          "random selected 10 positives out of 28<br>precision=36.5",
-          "random selected 11 positives out of 29<br>precision=36.5",
-          "random selected 11 positives out of 30<br>precision=36.5",
-          "random selected 11 positives out of 31<br>precision=36.5",
-          "random selected 12 positives out of 32<br>precision=36.5",
-          "random selected 12 positives out of 33<br>precision=36.5",
-          "random selected 12 positives out of 34<br>precision=36.5",
-          "random selected 13 positives out of 35<br>precision=36.5",
-          "random selected 13 positives out of 36<br>precision=36.5",
-          "random selected 14 positives out of 37<br>precision=36.5",
-          "random selected 14 positives out of 38<br>precision=36.5",
-          "random selected 14 positives out of 39<br>precision=36.5",
-          "random selected 15 positives out of 40<br>precision=36.5",
-          "random selected 15 positives out of 41<br>precision=36.5",
-          "random selected 15 positives out of 42<br>precision=36.5",
-          "random selected 16 positives out of 43<br>precision=36.5",
-          "random selected 16 positives out of 44<br>precision=36.5",
-          "random selected 16 positives out of 45<br>precision=36.5",
-          "random selected 17 positives out of 46<br>precision=36.5",
-          "random selected 17 positives out of 47<br>precision=36.5",
-          "random selected 18 positives out of 48<br>precision=36.5",
-          "random selected 18 positives out of 49<br>precision=36.5",
-          "random selected 18 positives out of 50<br>precision=36.5",
-          "random selected 19 positives out of 51<br>precision=36.5",
-          "random selected 19 positives out of 52<br>precision=36.5",
-          "random selected 19 positives out of 53<br>precision=36.5",
-          "random selected 20 positives out of 54<br>precision=36.5",
-          "random selected 20 positives out of 55<br>precision=36.5",
-          "random selected 20 positives out of 56<br>precision=36.5",
-          "random selected 21 positives out of 57<br>precision=36.5",
-          "random selected 21 positives out of 58<br>precision=36.5",
-          "random selected 22 positives out of 59<br>precision=36.5",
-          "random selected 22 positives out of 60<br>precision=36.5",
-          "random selected 22 positives out of 61<br>precision=36.5",
-          "random selected 23 positives out of 62<br>precision=36.5",
-          "random selected 23 positives out of 63<br>precision=36.5",
-          "random selected 23 positives out of 64<br>precision=36.5",
-          "random selected 24 positives out of 65<br>precision=36.5",
-          "random selected 24 positives out of 66<br>precision=36.5",
-          "random selected 24 positives out of 67<br>precision=36.5",
-          "random selected 25 positives out of 68<br>precision=36.5",
-          "random selected 25 positives out of 69<br>precision=36.5",
-          "random selected 26 positives out of 70<br>precision=36.5",
-          "random selected 26 positives out of 71<br>precision=36.5",
-          "random selected 26 positives out of 72<br>precision=36.5",
-          "random selected 27 positives out of 73<br>precision=36.5",
-          "random selected 27 positives out of 74<br>precision=36.5",
-          "random selected 27 positives out of 75<br>precision=36.5",
-          "random selected 28 positives out of 76<br>precision=36.5",
-          "random selected 28 positives out of 77<br>precision=36.5",
-          "random selected 28 positives out of 78<br>precision=36.5",
-          "random selected 29 positives out of 79<br>precision=36.5",
-          "random selected 29 positives out of 80<br>precision=36.5",
-          "random selected 30 positives out of 81<br>precision=36.5",
-          "random selected 30 positives out of 82<br>precision=36.5",
-          "random selected 30 positives out of 83<br>precision=36.5",
-          "random selected 31 positives out of 84<br>precision=36.5",
-          "random selected 31 positives out of 85<br>precision=36.5",
-          "random selected 31 positives out of 86<br>precision=36.5",
-          "random selected 32 positives out of 87<br>precision=36.5",
-          "random selected 32 positives out of 88<br>precision=36.5",
-          "random selected 32 positives out of 89<br>precision=36.5",
-          "random selected 33 positives out of 90<br>precision=36.5",
-          "random selected 33 positives out of 91<br>precision=36.5",
-          "random selected 34 positives out of 92<br>precision=36.5",
-          "random selected 34 positives out of 93<br>precision=36.5",
-          "random selected 34 positives out of 94<br>precision=36.5",
-          "random selected 35 positives out of 95<br>precision=36.5",
-          "random selected 35 positives out of 96<br>precision=36.5",
-          "random selected 35 positives out of 97<br>precision=36.5",
-          "random selected 36 positives out of 98<br>precision=36.5",
-          "random selected 36 positives out of 99<br>precision=36.5",
-          "random selected 36 positives out of 100<br>precision=36.5",
-          "random selected 37 positives out of 101<br>precision=36.5",
-          "random selected 37 positives out of 102<br>precision=36.5",
-          "random selected 38 positives out of 103<br>precision=36.5",
-          "random selected 38 positives out of 104<br>precision=36.5",
-          "random selected 38 positives out of 105<br>precision=36.5",
-          "random selected 39 positives out of 106<br>precision=36.5",
-          "random selected 39 positives out of 107<br>precision=36.5",
-          "random selected 39 positives out of 108<br>precision=36.5",
-          "random selected 40 positives out of 109<br>precision=36.5",
-          "random selected 40 positives out of 110<br>precision=36.5",
-          "random selected 41 positives out of 111<br>precision=36.5",
-          "random selected 41 positives out of 112<br>precision=36.5",
-          "random selected 41 positives out of 113<br>precision=36.5",
-          "random selected 42 positives out of 114<br>precision=36.5",
-          "random selected 42 positives out of 115<br>precision=36.5",
-          "random selected 42 positives out of 116<br>precision=36.5",
-          "random selected 43 positives out of 117<br>precision=36.5",
-          "random selected 43 positives out of 118<br>precision=36.5",
-          "random selected 43 positives out of 119<br>precision=36.5",
-          "random selected 44 positives out of 120<br>precision=36.5",
-          "random selected 44 positives out of 121<br>precision=36.5",
-          "random selected 45 positives out of 122<br>precision=36.5",
-          "random selected 45 positives out of 123<br>precision=36.5",
-          "random selected 45 positives out of 124<br>precision=36.5",
-          "random selected 46 positives out of 125<br>precision=36.5",
-          "random selected 46 positives out of 126<br>precision=36.5",
-          "random selected 46 positives out of 127<br>precision=36.5",
-          "random selected 47 positives out of 128<br>precision=36.5",
-          "random selected 47 positives out of 129<br>precision=36.5",
-          "random selected 47 positives out of 130<br>precision=36.5",
-          "random selected 48 positives out of 131<br>precision=36.5",
-          "random selected 48 positives out of 132<br>precision=36.5",
-          "random selected 49 positives out of 133<br>precision=36.5",
-          "random selected 49 positives out of 134<br>precision=36.5",
-          "random selected 49 positives out of 135<br>precision=36.5",
-          "random selected 50 positives out of 136<br>precision=36.5",
-          "random selected 50 positives out of 137<br>precision=36.5",
-          "random selected 50 positives out of 138<br>precision=36.5",
-          "random selected 51 positives out of 139<br>precision=36.5",
-          "random selected 51 positives out of 140<br>precision=36.5",
-          "random selected 51 positives out of 141<br>precision=36.5",
-          "random selected 52 positives out of 142<br>precision=36.5",
-          "random selected 52 positives out of 143<br>precision=36.5",
-          "random selected 53 positives out of 144<br>precision=36.5",
-          "random selected 53 positives out of 145<br>precision=36.5",
-          "random selected 53 positives out of 146<br>precision=36.5",
-          "random selected 54 positives out of 147<br>precision=36.5",
-          "random selected 54 positives out of 148<br>precision=36.5",
-          "random selected 54 positives out of 149<br>precision=36.5",
-          "random selected 55 positives out of 150<br>precision=36.5",
-          "random selected 55 positives out of 151<br>precision=36.5",
-          "random selected 55 positives out of 152<br>precision=36.5",
-          "random selected 56 positives out of 153<br>precision=36.5",
-          "random selected 56 positives out of 154<br>precision=36.5",
-          "random selected 57 positives out of 155<br>precision=36.5",
-          "random selected 57 positives out of 156<br>precision=36.5",
-          "random selected 57 positives out of 157<br>precision=36.5",
-          "random selected 58 positives out of 158<br>precision=36.5",
-          "random selected 58 positives out of 159<br>precision=36.5",
-          "random selected 58 positives out of 160<br>precision=36.5",
-          "random selected 59 positives out of 161<br>precision=36.5",
-          "random selected 59 positives out of 162<br>precision=36.5",
-          "random selected 59 positives out of 163<br>precision=36.5",
-          "random selected 60 positives out of 164<br>precision=36.5",
-          "random selected 60 positives out of 165<br>precision=36.5",
-          "random selected 61 positives out of 166<br>precision=36.5",
-          "random selected 61 positives out of 167<br>precision=36.5",
-          "random selected 61 positives out of 168<br>precision=36.5",
-          "random selected 62 positives out of 169<br>precision=36.5",
-          "random selected 62 positives out of 170<br>precision=36.5",
-          "random selected 62 positives out of 171<br>precision=36.5",
-          "random selected 63 positives out of 172<br>precision=36.5",
-          "random selected 63 positives out of 173<br>precision=36.5",
-          "random selected 64 positives out of 174<br>precision=36.5",
-          "random selected 64 positives out of 175<br>precision=36.5",
-          "random selected 64 positives out of 176<br>precision=36.5",
-          "random selected 65 positives out of 177<br>precision=36.5",
-          "random selected 65 positives out of 178<br>precision=36.5",
-          "random selected 65 positives out of 179<br>precision=36.5",
-          "random selected 66 positives out of 180<br>precision=36.5",
-          "random selected 66 positives out of 181<br>precision=36.5",
-          "random selected 66 positives out of 182<br>precision=36.5",
-          "random selected 67 positives out of 183<br>precision=36.5",
-          "random selected 67 positives out of 184<br>precision=36.5",
-          "random selected 68 positives out of 185<br>precision=36.5",
-          "random selected 68 positives out of 186<br>precision=36.5",
-          "random selected 68 positives out of 187<br>precision=36.5",
-          "random selected 69 positives out of 188<br>precision=36.5",
-          "random selected 69 positives out of 189<br>precision=36.5",
-          "random selected 69 positives out of 190<br>precision=36.5",
-          "random selected 70 positives out of 191<br>precision=36.5",
-          "random selected 70 positives out of 192<br>precision=36.5",
-          "random selected 70 positives out of 193<br>precision=36.5",
-          "random selected 71 positives out of 194<br>precision=36.5",
-          "random selected 71 positives out of 195<br>precision=36.5",
-          "random selected 72 positives out of 196<br>precision=36.5",
-          "random selected 72 positives out of 197<br>precision=36.5",
-          "random selected 72 positives out of 198<br>precision=36.5",
-          "random selected 73 positives out of 199<br>precision=36.5",
-          "random selected 73 positives out of 200<br>precision=36.5"
+          "model selected 1 positives out of 1<br>precision=100.00<br>lift=2.74",
+          "model selected 2 positives out of 2<br>precision=100.00<br>lift=2.74",
+          "model selected 3 positives out of 3<br>precision=100.00<br>lift=2.74",
+          "model selected 4 positives out of 4<br>precision=100.00<br>lift=2.74",
+          "model selected 5 positives out of 5<br>precision=100.00<br>lift=2.74",
+          "model selected 6 positives out of 6<br>precision=100.00<br>lift=2.74",
+          "model selected 7 positives out of 7<br>precision=100.00<br>lift=2.74",
+          "model selected 8 positives out of 8<br>precision=100.00<br>lift=2.74",
+          "model selected 9 positives out of 9<br>precision=100.00<br>lift=2.74",
+          "model selected 10 positives out of 10<br>precision=100.00<br>lift=2.74",
+          "model selected 11 positives out of 11<br>precision=100.00<br>lift=2.74",
+          "model selected 12 positives out of 12<br>precision=100.00<br>lift=2.74",
+          "model selected 13 positives out of 13<br>precision=100.00<br>lift=2.74",
+          "model selected 14 positives out of 14<br>precision=100.00<br>lift=2.74",
+          "model selected 15 positives out of 15<br>precision=100.00<br>lift=2.74",
+          "model selected 16 positives out of 16<br>precision=100.00<br>lift=2.74",
+          "model selected 17 positives out of 17<br>precision=100.00<br>lift=2.74",
+          "model selected 18 positives out of 18<br>precision=100.00<br>lift=2.74",
+          "model selected 19 positives out of 19<br>precision=100.00<br>lift=2.74",
+          "model selected 20 positives out of 20<br>precision=100.00<br>lift=2.74",
+          "model selected 21 positives out of 21<br>precision=100.00<br>lift=2.74",
+          "model selected 22 positives out of 22<br>precision=100.00<br>lift=2.74",
+          "model selected 23 positives out of 23<br>precision=100.00<br>lift=2.74",
+          "model selected 24 positives out of 24<br>precision=100.00<br>lift=2.74",
+          "model selected 25 positives out of 25<br>precision=100.00<br>lift=2.74",
+          "model selected 26 positives out of 26<br>precision=100.00<br>lift=2.74",
+          "model selected 27 positives out of 27<br>precision=100.00<br>lift=2.74",
+          "model selected 28 positives out of 28<br>precision=100.00<br>lift=2.74",
+          "model selected 29 positives out of 29<br>precision=100.00<br>lift=2.74",
+          "model selected 30 positives out of 30<br>precision=100.00<br>lift=2.74",
+          "model selected 30 positives out of 31<br>precision=96.77<br>lift=2.65",
+          "model selected 31 positives out of 32<br>precision=96.88<br>lift=2.65",
+          "model selected 32 positives out of 33<br>precision=96.97<br>lift=2.66",
+          "model selected 33 positives out of 34<br>precision=97.06<br>lift=2.66",
+          "model selected 34 positives out of 35<br>precision=97.14<br>lift=2.66",
+          "model selected 34 positives out of 36<br>precision=94.44<br>lift=2.59",
+          "model selected 35 positives out of 37<br>precision=94.59<br>lift=2.59",
+          "model selected 36 positives out of 38<br>precision=94.74<br>lift=2.60",
+          "model selected 37 positives out of 39<br>precision=94.87<br>lift=2.60",
+          "model selected 38 positives out of 40<br>precision=95.00<br>lift=2.60",
+          "model selected 39 positives out of 41<br>precision=95.12<br>lift=2.61",
+          "model selected 40 positives out of 42<br>precision=95.24<br>lift=2.61",
+          "model selected 41 positives out of 43<br>precision=95.35<br>lift=2.61",
+          "model selected 41 positives out of 44<br>precision=93.18<br>lift=2.55",
+          "model selected 41 positives out of 45<br>precision=91.11<br>lift=2.50",
+          "model selected 41 positives out of 46<br>precision=89.13<br>lift=2.44",
+          "model selected 41 positives out of 47<br>precision=87.23<br>lift=2.39",
+          "model selected 42 positives out of 48<br>precision=87.50<br>lift=2.40",
+          "model selected 42 positives out of 49<br>precision=85.71<br>lift=2.35",
+          "model selected 42 positives out of 50<br>precision=84.00<br>lift=2.30",
+          "model selected 42 positives out of 51<br>precision=82.35<br>lift=2.26",
+          "model selected 43 positives out of 52<br>precision=82.69<br>lift=2.27",
+          "model selected 44 positives out of 53<br>precision=83.02<br>lift=2.27",
+          "model selected 45 positives out of 54<br>precision=83.33<br>lift=2.28",
+          "model selected 45 positives out of 55<br>precision=81.82<br>lift=2.24",
+          "model selected 46 positives out of 56<br>precision=82.14<br>lift=2.25",
+          "model selected 46 positives out of 57<br>precision=80.70<br>lift=2.21",
+          "model selected 47 positives out of 58<br>precision=81.03<br>lift=2.22",
+          "model selected 47 positives out of 59<br>precision=79.66<br>lift=2.18",
+          "model selected 47 positives out of 60<br>precision=78.33<br>lift=2.15",
+          "model selected 48 positives out of 61<br>precision=78.69<br>lift=2.16",
+          "model selected 49 positives out of 62<br>precision=79.03<br>lift=2.17",
+          "model selected 50 positives out of 63<br>precision=79.37<br>lift=2.17",
+          "model selected 51 positives out of 64<br>precision=79.69<br>lift=2.18",
+          "model selected 51 positives out of 65<br>precision=78.46<br>lift=2.15",
+          "model selected 51 positives out of 66<br>precision=77.27<br>lift=2.12",
+          "model selected 52 positives out of 67<br>precision=77.61<br>lift=2.13",
+          "model selected 52 positives out of 68<br>precision=76.47<br>lift=2.10",
+          "model selected 52 positives out of 69<br>precision=75.36<br>lift=2.06",
+          "model selected 53 positives out of 70<br>precision=75.71<br>lift=2.07",
+          "model selected 53 positives out of 71<br>precision=74.65<br>lift=2.05",
+          "model selected 54 positives out of 72<br>precision=75.00<br>lift=2.05",
+          "model selected 54 positives out of 73<br>precision=73.97<br>lift=2.03",
+          "model selected 54 positives out of 74<br>precision=72.97<br>lift=2.00",
+          "model selected 55 positives out of 75<br>precision=73.33<br>lift=2.01",
+          "model selected 55 positives out of 76<br>precision=72.37<br>lift=1.98",
+          "model selected 55 positives out of 77<br>precision=71.43<br>lift=1.96",
+          "model selected 55 positives out of 78<br>precision=70.51<br>lift=1.93",
+          "model selected 55 positives out of 79<br>precision=69.62<br>lift=1.91",
+          "model selected 56 positives out of 80<br>precision=70.00<br>lift=1.92",
+          "model selected 56 positives out of 81<br>precision=69.14<br>lift=1.89",
+          "model selected 57 positives out of 82<br>precision=69.51<br>lift=1.90",
+          "model selected 57 positives out of 83<br>precision=68.67<br>lift=1.88",
+          "model selected 57 positives out of 84<br>precision=67.86<br>lift=1.86",
+          "model selected 58 positives out of 85<br>precision=68.24<br>lift=1.87",
+          "model selected 59 positives out of 86<br>precision=68.60<br>lift=1.88",
+          "model selected 59 positives out of 87<br>precision=67.82<br>lift=1.86",
+          "model selected 59 positives out of 88<br>precision=67.05<br>lift=1.84",
+          "model selected 60 positives out of 89<br>precision=67.42<br>lift=1.85",
+          "model selected 61 positives out of 90<br>precision=67.78<br>lift=1.86",
+          "model selected 62 positives out of 91<br>precision=68.13<br>lift=1.87",
+          "model selected 62 positives out of 92<br>precision=67.39<br>lift=1.85",
+          "model selected 62 positives out of 93<br>precision=66.67<br>lift=1.83",
+          "model selected 62 positives out of 94<br>precision=65.96<br>lift=1.81",
+          "model selected 63 positives out of 95<br>precision=66.32<br>lift=1.82",
+          "model selected 64 positives out of 96<br>precision=66.67<br>lift=1.83",
+          "model selected 64 positives out of 97<br>precision=65.98<br>lift=1.81",
+          "model selected 65 positives out of 98<br>precision=66.33<br>lift=1.82",
+          "model selected 65 positives out of 99<br>precision=65.66<br>lift=1.80",
+          "model selected 66 positives out of 100<br>precision=66.00<br>lift=1.81",
+          "model selected 66 positives out of 101<br>precision=65.35<br>lift=1.79",
+          "model selected 67 positives out of 102<br>precision=65.69<br>lift=1.80",
+          "model selected 67 positives out of 103<br>precision=65.05<br>lift=1.78",
+          "model selected 67 positives out of 104<br>precision=64.42<br>lift=1.77",
+          "model selected 67 positives out of 105<br>precision=63.81<br>lift=1.75",
+          "model selected 68 positives out of 106<br>precision=64.15<br>lift=1.76",
+          "model selected 68 positives out of 107<br>precision=63.55<br>lift=1.74",
+          "model selected 68 positives out of 108<br>precision=62.96<br>lift=1.73",
+          "model selected 68 positives out of 109<br>precision=62.39<br>lift=1.71",
+          "model selected 68 positives out of 110<br>precision=61.82<br>lift=1.69",
+          "model selected 68 positives out of 111<br>precision=61.26<br>lift=1.68",
+          "model selected 68 positives out of 112<br>precision=60.71<br>lift=1.66",
+          "model selected 68 positives out of 113<br>precision=60.18<br>lift=1.65",
+          "model selected 68 positives out of 114<br>precision=59.65<br>lift=1.63",
+          "model selected 68 positives out of 115<br>precision=59.13<br>lift=1.62",
+          "model selected 68 positives out of 116<br>precision=58.62<br>lift=1.61",
+          "model selected 68 positives out of 117<br>precision=58.12<br>lift=1.59",
+          "model selected 68 positives out of 118<br>precision=57.63<br>lift=1.58",
+          "model selected 69 positives out of 119<br>precision=57.98<br>lift=1.59",
+          "model selected 69 positives out of 120<br>precision=57.50<br>lift=1.58",
+          "model selected 69 positives out of 121<br>precision=57.02<br>lift=1.56",
+          "model selected 69 positives out of 122<br>precision=56.56<br>lift=1.55",
+          "model selected 69 positives out of 123<br>precision=56.10<br>lift=1.54",
+          "model selected 69 positives out of 124<br>precision=55.65<br>lift=1.52",
+          "model selected 69 positives out of 125<br>precision=55.20<br>lift=1.51",
+          "model selected 69 positives out of 126<br>precision=54.76<br>lift=1.50",
+          "model selected 69 positives out of 127<br>precision=54.33<br>lift=1.49",
+          "model selected 69 positives out of 128<br>precision=53.91<br>lift=1.48",
+          "model selected 69 positives out of 129<br>precision=53.49<br>lift=1.47",
+          "model selected 69 positives out of 130<br>precision=53.08<br>lift=1.45",
+          "model selected 69 positives out of 131<br>precision=52.67<br>lift=1.44",
+          "model selected 69 positives out of 132<br>precision=52.27<br>lift=1.43",
+          "model selected 69 positives out of 133<br>precision=51.88<br>lift=1.42",
+          "model selected 69 positives out of 134<br>precision=51.49<br>lift=1.41",
+          "model selected 69 positives out of 135<br>precision=51.11<br>lift=1.40",
+          "model selected 69 positives out of 136<br>precision=50.74<br>lift=1.39",
+          "model selected 69 positives out of 137<br>precision=50.36<br>lift=1.38",
+          "model selected 69 positives out of 138<br>precision=50.00<br>lift=1.37",
+          "model selected 69 positives out of 139<br>precision=49.64<br>lift=1.36",
+          "model selected 69 positives out of 140<br>precision=49.29<br>lift=1.35",
+          "model selected 69 positives out of 141<br>precision=48.94<br>lift=1.34",
+          "model selected 69 positives out of 142<br>precision=48.59<br>lift=1.33",
+          "model selected 69 positives out of 143<br>precision=48.25<br>lift=1.32",
+          "model selected 69 positives out of 144<br>precision=47.92<br>lift=1.31",
+          "model selected 70 positives out of 145<br>precision=48.28<br>lift=1.32",
+          "model selected 70 positives out of 146<br>precision=47.95<br>lift=1.31",
+          "model selected 70 positives out of 147<br>precision=47.62<br>lift=1.30",
+          "model selected 70 positives out of 148<br>precision=47.30<br>lift=1.30",
+          "model selected 70 positives out of 149<br>precision=46.98<br>lift=1.29",
+          "model selected 70 positives out of 150<br>precision=46.67<br>lift=1.28",
+          "model selected 70 positives out of 151<br>precision=46.36<br>lift=1.27",
+          "model selected 70 positives out of 152<br>precision=46.05<br>lift=1.26",
+          "model selected 70 positives out of 153<br>precision=45.75<br>lift=1.25",
+          "model selected 70 positives out of 154<br>precision=45.45<br>lift=1.25",
+          "model selected 71 positives out of 155<br>precision=45.81<br>lift=1.25",
+          "model selected 71 positives out of 156<br>precision=45.51<br>lift=1.25",
+          "model selected 71 positives out of 157<br>precision=45.22<br>lift=1.24",
+          "model selected 71 positives out of 158<br>precision=44.94<br>lift=1.23",
+          "model selected 71 positives out of 159<br>precision=44.65<br>lift=1.22",
+          "model selected 71 positives out of 160<br>precision=44.38<br>lift=1.22",
+          "model selected 71 positives out of 161<br>precision=44.10<br>lift=1.21",
+          "model selected 71 positives out of 162<br>precision=43.83<br>lift=1.20",
+          "model selected 71 positives out of 163<br>precision=43.56<br>lift=1.19",
+          "model selected 71 positives out of 164<br>precision=43.29<br>lift=1.19",
+          "model selected 71 positives out of 165<br>precision=43.03<br>lift=1.18",
+          "model selected 71 positives out of 166<br>precision=42.77<br>lift=1.17",
+          "model selected 71 positives out of 167<br>precision=42.51<br>lift=1.16",
+          "model selected 71 positives out of 168<br>precision=42.26<br>lift=1.16",
+          "model selected 71 positives out of 169<br>precision=42.01<br>lift=1.15",
+          "model selected 71 positives out of 170<br>precision=41.76<br>lift=1.14",
+          "model selected 71 positives out of 171<br>precision=41.52<br>lift=1.14",
+          "model selected 71 positives out of 172<br>precision=41.28<br>lift=1.13",
+          "model selected 71 positives out of 173<br>precision=41.04<br>lift=1.12",
+          "model selected 71 positives out of 174<br>precision=40.80<br>lift=1.12",
+          "model selected 71 positives out of 175<br>precision=40.57<br>lift=1.11",
+          "model selected 71 positives out of 176<br>precision=40.34<br>lift=1.11",
+          "model selected 71 positives out of 177<br>precision=40.11<br>lift=1.10",
+          "model selected 71 positives out of 178<br>precision=39.89<br>lift=1.09",
+          "model selected 71 positives out of 179<br>precision=39.66<br>lift=1.09",
+          "model selected 71 positives out of 180<br>precision=39.44<br>lift=1.08",
+          "model selected 72 positives out of 181<br>precision=39.78<br>lift=1.09",
+          "model selected 72 positives out of 182<br>precision=39.56<br>lift=1.08",
+          "model selected 72 positives out of 183<br>precision=39.34<br>lift=1.08",
+          "model selected 72 positives out of 184<br>precision=39.13<br>lift=1.07",
+          "model selected 72 positives out of 185<br>precision=38.92<br>lift=1.07",
+          "model selected 72 positives out of 186<br>precision=38.71<br>lift=1.06",
+          "model selected 72 positives out of 187<br>precision=38.50<br>lift=1.05",
+          "model selected 72 positives out of 188<br>precision=38.30<br>lift=1.05",
+          "model selected 72 positives out of 189<br>precision=38.10<br>lift=1.04",
+          "model selected 72 positives out of 190<br>precision=37.89<br>lift=1.04",
+          "model selected 72 positives out of 191<br>precision=37.70<br>lift=1.03",
+          "model selected 72 positives out of 192<br>precision=37.50<br>lift=1.03",
+          "model selected 72 positives out of 193<br>precision=37.31<br>lift=1.02",
+          "model selected 72 positives out of 194<br>precision=37.11<br>lift=1.02",
+          "model selected 72 positives out of 195<br>precision=36.92<br>lift=1.01",
+          "model selected 73 positives out of 196<br>precision=37.24<br>lift=1.02",
+          "model selected 73 positives out of 197<br>precision=37.06<br>lift=1.02",
+          "model selected 73 positives out of 198<br>precision=36.87<br>lift=1.01",
+          "model selected 73 positives out of 199<br>precision=36.68<br>lift=1.01",
+          "model selected 73 positives out of 200<br>precision=36.50<br>lift=1.00"
          ],
          "type": "scatter",
          "x": [
@@ -61438,73 +44479,684 @@
           200
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+         "text": [
+          "random selected 0 positives out of 1<br>precision=36.50",
+          "random selected 0 positives out of 2<br>precision=36.50",
+          "random selected 1 positives out of 3<br>precision=36.50",
+          "random selected 1 positives out of 4<br>precision=36.50",
+          "random selected 1 positives out of 5<br>precision=36.50",
+          "random selected 2 positives out of 6<br>precision=36.50",
+          "random selected 2 positives out of 7<br>precision=36.50",
+          "random selected 2 positives out of 8<br>precision=36.50",
+          "random selected 3 positives out of 9<br>precision=36.50",
+          "random selected 3 positives out of 10<br>precision=36.50",
+          "random selected 4 positives out of 11<br>precision=36.50",
+          "random selected 4 positives out of 12<br>precision=36.50",
+          "random selected 4 positives out of 13<br>precision=36.50",
+          "random selected 5 positives out of 14<br>precision=36.50",
+          "random selected 5 positives out of 15<br>precision=36.50",
+          "random selected 5 positives out of 16<br>precision=36.50",
+          "random selected 6 positives out of 17<br>precision=36.50",
+          "random selected 6 positives out of 18<br>precision=36.50",
+          "random selected 6 positives out of 19<br>precision=36.50",
+          "random selected 7 positives out of 20<br>precision=36.50",
+          "random selected 7 positives out of 21<br>precision=36.50",
+          "random selected 8 positives out of 22<br>precision=36.50",
+          "random selected 8 positives out of 23<br>precision=36.50",
+          "random selected 8 positives out of 24<br>precision=36.50",
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+          "random selected 9 positives out of 26<br>precision=36.50",
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+          "random selected 10 positives out of 28<br>precision=36.50",
+          "random selected 10 positives out of 29<br>precision=36.50",
+          "random selected 10 positives out of 30<br>precision=36.50",
+          "random selected 11 positives out of 31<br>precision=36.50",
+          "random selected 11 positives out of 32<br>precision=36.50",
+          "random selected 12 positives out of 33<br>precision=36.50",
+          "random selected 12 positives out of 34<br>precision=36.50",
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+          "random selected 19 positives out of 54<br>precision=36.50",
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+          "random selected 62 positives out of 171<br>precision=36.50",
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+          "random selected 64 positives out of 178<br>precision=36.50",
+          "random selected 65 positives out of 179<br>precision=36.50",
+          "random selected 65 positives out of 180<br>precision=36.50",
+          "random selected 66 positives out of 181<br>precision=36.50",
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@@ -61666,6 +45318,10 @@
          "x": 0.5
         },
         "xaxis": {
+         "range": [
+          0,
+          200
+         ],
          "spikemode": "across",
          "title": {
           "text": "Number sampled"
@@ -61679,9 +45335,9 @@
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       },
       "text/html": [
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19<br>precision=100.0<br>lift=2.74\", \"model selected 20 positives out of 20<br>precision=100.0<br>lift=2.74\", \"model selected 21 positives out of 21<br>precision=100.0<br>lift=2.74\", \"model selected 22 positives out of 22<br>precision=100.0<br>lift=2.74\", \"model selected 23 positives out of 23<br>precision=100.0<br>lift=2.74\", \"model selected 24 positives out of 24<br>precision=100.0<br>lift=2.74\", \"model selected 25 positives out of 25<br>precision=100.0<br>lift=2.74\", \"model selected 26 positives out of 26<br>precision=100.0<br>lift=2.74\", \"model selected 27 positives out of 27<br>precision=100.0<br>lift=2.74\", \"model selected 28 positives out of 28<br>precision=100.0<br>lift=2.74\", \"model selected 29 positives out of 29<br>precision=100.0<br>lift=2.74\", \"model selected 30 positives out of 30<br>precision=100.0<br>lift=2.74\", \"model selected 31 positives out of 31<br>precision=100.0<br>lift=2.74\", \"model selected 32 positives out of 32<br>precision=100.0<br>lift=2.74\", \"model selected 33 positives out of 33<br>precision=100.0<br>lift=2.74\", \"model selected 34 positives out of 34<br>precision=100.0<br>lift=2.74\", \"model selected 34 positives out of 35<br>precision=97.14<br>lift=2.66\", \"model selected 34 positives out of 36<br>precision=94.44<br>lift=2.59\", \"model selected 35 positives out of 37<br>precision=94.59<br>lift=2.59\", \"model selected 35 positives out of 38<br>precision=92.11<br>lift=2.52\", \"model selected 36 positives out of 39<br>precision=92.31<br>lift=2.53\", \"model selected 37 positives out of 40<br>precision=92.5<br>lift=2.53\", \"model selected 38 positives out of 41<br>precision=92.68<br>lift=2.54\", \"model selected 39 positives out of 42<br>precision=92.86<br>lift=2.54\", \"model selected 40 positives out of 43<br>precision=93.02<br>lift=2.55\", \"model selected 40 positives out of 44<br>precision=90.91<br>lift=2.49\", \"model selected 40 positives out of 45<br>precision=88.89<br>lift=2.44\", \"model selected 41 positives out of 46<br>precision=89.13<br>lift=2.44\", \"model selected 41 positives out of 47<br>precision=87.23<br>lift=2.39\", \"model selected 42 positives out of 48<br>precision=87.5<br>lift=2.4\", \"model selected 43 positives out of 49<br>precision=87.76<br>lift=2.4\", \"model selected 44 positives out of 50<br>precision=88.0<br>lift=2.41\", \"model selected 44 positives out of 51<br>precision=86.27<br>lift=2.36\", \"model selected 44 positives out of 52<br>precision=84.62<br>lift=2.32\", \"model selected 45 positives out of 53<br>precision=84.91<br>lift=2.33\", \"model selected 46 positives out of 54<br>precision=85.19<br>lift=2.33\", \"model selected 47 positives out of 55<br>precision=85.45<br>lift=2.34\", \"model selected 47 positives out of 56<br>precision=83.93<br>lift=2.3\", \"model selected 48 positives out of 57<br>precision=84.21<br>lift=2.31\", \"model selected 48 positives out of 58<br>precision=82.76<br>lift=2.27\", \"model selected 49 positives out of 59<br>precision=83.05<br>lift=2.28\", \"model selected 50 positives out of 60<br>precision=83.33<br>lift=2.28\", \"model selected 50 positives out of 61<br>precision=81.97<br>lift=2.25\", \"model selected 50 positives out of 62<br>precision=80.65<br>lift=2.21\", \"model selected 51 positives out of 63<br>precision=80.95<br>lift=2.22\", \"model selected 51 positives out of 64<br>precision=79.69<br>lift=2.18\", \"model selected 51 positives out of 65<br>precision=78.46<br>lift=2.15\", \"model selected 52 positives out of 66<br>precision=78.79<br>lift=2.16\", \"model selected 53 positives out of 67<br>precision=79.1<br>lift=2.17\", \"model selected 53 positives out of 68<br>precision=77.94<br>lift=2.14\", \"model selected 53 positives out of 69<br>precision=76.81<br>lift=2.1\", \"model selected 53 positives out of 70<br>precision=75.71<br>lift=2.07\", \"model selected 53 positives out of 71<br>precision=74.65<br>lift=2.05\", \"model selected 53 positives out of 72<br>precision=73.61<br>lift=2.02\", \"model selected 54 positives out of 73<br>precision=73.97<br>lift=2.03\", \"model selected 54 positives out of 74<br>precision=72.97<br>lift=2.0\", \"model selected 54 positives out of 75<br>precision=72.0<br>lift=1.97\", \"model selected 54 positives out of 76<br>precision=71.05<br>lift=1.95\", \"model selected 55 positives out of 77<br>precision=71.43<br>lift=1.96\", \"model selected 55 positives out of 78<br>precision=70.51<br>lift=1.93\", \"model selected 55 positives out of 79<br>precision=69.62<br>lift=1.91\", \"model selected 56 positives out of 80<br>precision=70.0<br>lift=1.92\", \"model selected 57 positives out of 81<br>precision=70.37<br>lift=1.93\", \"model selected 58 positives out of 82<br>precision=70.73<br>lift=1.94\", \"model selected 58 positives out of 83<br>precision=69.88<br>lift=1.91\", \"model selected 58 positives out of 84<br>precision=69.05<br>lift=1.89\", \"model selected 58 positives out of 85<br>precision=68.24<br>lift=1.87\", \"model selected 59 positives out of 86<br>precision=68.6<br>lift=1.88\", \"model selected 60 positives out of 87<br>precision=68.97<br>lift=1.89\", \"model selected 61 positives out of 88<br>precision=69.32<br>lift=1.9\", \"model selected 61 positives out of 89<br>precision=68.54<br>lift=1.88\", \"model selected 61 positives out of 90<br>precision=67.78<br>lift=1.86\", \"model selected 61 positives out of 91<br>precision=67.03<br>lift=1.84\", \"model selected 62 positives out of 92<br>precision=67.39<br>lift=1.85\", \"model selected 62 positives out of 93<br>precision=66.67<br>lift=1.83\", \"model selected 62 positives out of 94<br>precision=65.96<br>lift=1.81\", \"model selected 62 positives out of 95<br>precision=65.26<br>lift=1.79\", \"model selected 62 positives out of 96<br>precision=64.58<br>lift=1.77\", \"model selected 62 positives out of 97<br>precision=63.92<br>lift=1.75\", \"model selected 62 positives out of 98<br>precision=63.27<br>lift=1.73\", \"model selected 62 positives out of 99<br>precision=62.63<br>lift=1.72\", \"model selected 62 positives out of 100<br>precision=62.0<br>lift=1.7\", \"model selected 62 positives out of 101<br>precision=61.39<br>lift=1.68\", \"model selected 63 positives out of 102<br>precision=61.76<br>lift=1.69\", \"model selected 64 positives out of 103<br>precision=62.14<br>lift=1.7\", \"model selected 65 positives out of 104<br>precision=62.5<br>lift=1.71\", \"model selected 65 positives out of 105<br>precision=61.9<br>lift=1.7\", \"model selected 65 positives out of 106<br>precision=61.32<br>lift=1.68\", \"model selected 65 positives out of 107<br>precision=60.75<br>lift=1.66\", \"model selected 65 positives out of 108<br>precision=60.19<br>lift=1.65\", \"model selected 65 positives out of 109<br>precision=59.63<br>lift=1.63\", \"model selected 65 positives out of 110<br>precision=59.09<br>lift=1.62\", \"model selected 66 positives out of 111<br>precision=59.46<br>lift=1.63\", \"model selected 67 positives out of 112<br>precision=59.82<br>lift=1.64\", \"model selected 67 positives out of 113<br>precision=59.29<br>lift=1.62\", \"model selected 67 positives out of 114<br>precision=58.77<br>lift=1.61\", \"model selected 67 positives out of 115<br>precision=58.26<br>lift=1.6\", \"model selected 67 positives out of 116<br>precision=57.76<br>lift=1.58\", \"model selected 68 positives out of 117<br>precision=58.12<br>lift=1.59\", \"model selected 68 positives out of 118<br>precision=57.63<br>lift=1.58\", \"model selected 68 positives out of 119<br>precision=57.14<br>lift=1.57\", \"model selected 68 positives out of 120<br>precision=56.67<br>lift=1.55\", \"model selected 68 positives out of 121<br>precision=56.2<br>lift=1.54\", \"model selected 68 positives out of 122<br>precision=55.74<br>lift=1.53\", \"model selected 68 positives out of 123<br>precision=55.28<br>lift=1.51\", \"model selected 68 positives out of 124<br>precision=54.84<br>lift=1.5\", \"model selected 69 positives out of 125<br>precision=55.2<br>lift=1.51\", \"model selected 69 positives out of 126<br>precision=54.76<br>lift=1.5\", \"model selected 69 positives out of 127<br>precision=54.33<br>lift=1.49\", \"model selected 69 positives out of 128<br>precision=53.91<br>lift=1.48\", \"model selected 69 positives out of 129<br>precision=53.49<br>lift=1.47\", \"model selected 69 positives out of 130<br>precision=53.08<br>lift=1.45\", \"model selected 69 positives out of 131<br>precision=52.67<br>lift=1.44\", \"model selected 69 positives out of 132<br>precision=52.27<br>lift=1.43\", \"model selected 69 positives out of 133<br>precision=51.88<br>lift=1.42\", \"model selected 69 positives out of 134<br>precision=51.49<br>lift=1.41\", \"model selected 69 positives out of 135<br>precision=51.11<br>lift=1.4\", \"model selected 69 positives out of 136<br>precision=50.74<br>lift=1.39\", \"model selected 69 positives out of 137<br>precision=50.36<br>lift=1.38\", \"model selected 69 positives out of 138<br>precision=50.0<br>lift=1.37\", \"model selected 69 positives out of 139<br>precision=49.64<br>lift=1.36\", \"model selected 69 positives out of 140<br>precision=49.29<br>lift=1.35\", \"model selected 69 positives out of 141<br>precision=48.94<br>lift=1.34\", \"model selected 69 positives out of 142<br>precision=48.59<br>lift=1.33\", \"model selected 69 positives out of 143<br>precision=48.25<br>lift=1.32\", \"model selected 69 positives out of 144<br>precision=47.92<br>lift=1.31\", \"model selected 69 positives out of 145<br>precision=47.59<br>lift=1.3\", \"model selected 69 positives out of 146<br>precision=47.26<br>lift=1.29\", \"model selected 69 positives out of 147<br>precision=46.94<br>lift=1.29\", \"model selected 69 positives out of 148<br>precision=46.62<br>lift=1.28\", \"model selected 69 positives out of 149<br>precision=46.31<br>lift=1.27\", \"model selected 69 positives out of 150<br>precision=46.0<br>lift=1.26\", \"model selected 69 positives out of 151<br>precision=45.7<br>lift=1.25\", \"model selected 69 positives out of 152<br>precision=45.39<br>lift=1.24\", \"model selected 69 positives out of 153<br>precision=45.1<br>lift=1.24\", \"model selected 69 positives out of 154<br>precision=44.81<br>lift=1.23\", \"model selected 69 positives out of 155<br>precision=44.52<br>lift=1.22\", \"model selected 69 positives out of 156<br>precision=44.23<br>lift=1.21\", \"model selected 69 positives out of 157<br>precision=43.95<br>lift=1.2\", \"model selected 69 positives out of 158<br>precision=43.67<br>lift=1.2\", \"model selected 69 positives out of 159<br>precision=43.4<br>lift=1.19\", \"model selected 69 positives out of 160<br>precision=43.12<br>lift=1.18\", \"model selected 69 positives out of 161<br>precision=42.86<br>lift=1.17\", \"model selected 69 positives out of 162<br>precision=42.59<br>lift=1.17\", \"model selected 69 positives out of 163<br>precision=42.33<br>lift=1.16\", \"model selected 70 positives out of 164<br>precision=42.68<br>lift=1.17\", \"model selected 70 positives out of 165<br>precision=42.42<br>lift=1.16\", \"model selected 70 positives out of 166<br>precision=42.17<br>lift=1.16\", \"model selected 70 positives out of 167<br>precision=41.92<br>lift=1.15\", \"model selected 70 positives out of 168<br>precision=41.67<br>lift=1.14\", \"model selected 70 positives out of 169<br>precision=41.42<br>lift=1.13\", \"model selected 70 positives out of 170<br>precision=41.18<br>lift=1.13\", \"model selected 70 positives out of 171<br>precision=40.94<br>lift=1.12\", \"model selected 70 positives out of 172<br>precision=40.7<br>lift=1.12\", \"model selected 70 positives out of 173<br>precision=40.46<br>lift=1.11\", \"model selected 70 positives out of 174<br>precision=40.23<br>lift=1.1\", \"model selected 70 positives out of 175<br>precision=40.0<br>lift=1.1\", \"model selected 70 positives out of 176<br>precision=39.77<br>lift=1.09\", \"model selected 70 positives out of 177<br>precision=39.55<br>lift=1.08\", \"model selected 70 positives out of 178<br>precision=39.33<br>lift=1.08\", \"model selected 71 positives out of 179<br>precision=39.66<br>lift=1.09\", \"model selected 71 positives out of 180<br>precision=39.44<br>lift=1.08\", \"model selected 71 positives out of 181<br>precision=39.23<br>lift=1.07\", \"model selected 71 positives out of 182<br>precision=39.01<br>lift=1.07\", \"model selected 71 positives out of 183<br>precision=38.8<br>lift=1.06\", \"model selected 71 positives out of 184<br>precision=38.59<br>lift=1.06\", \"model selected 71 positives out of 185<br>precision=38.38<br>lift=1.05\", \"model selected 72 positives out of 186<br>precision=38.71<br>lift=1.06\", \"model selected 72 positives out of 187<br>precision=38.5<br>lift=1.05\", \"model selected 72 positives out of 188<br>precision=38.3<br>lift=1.05\", \"model selected 72 positives out of 189<br>precision=38.1<br>lift=1.04\", \"model selected 72 positives out of 190<br>precision=37.89<br>lift=1.04\", \"model selected 73 positives out of 191<br>precision=38.22<br>lift=1.05\", \"model selected 73 positives out of 192<br>precision=38.02<br>lift=1.04\", \"model selected 73 positives out of 193<br>precision=37.82<br>lift=1.04\", \"model selected 73 positives out of 194<br>precision=37.63<br>lift=1.03\", \"model selected 73 positives out of 195<br>precision=37.44<br>lift=1.03\", \"model selected 73 positives out of 196<br>precision=37.24<br>lift=1.02\", \"model selected 73 positives out of 197<br>precision=37.06<br>lift=1.02\", \"model selected 73 positives out of 198<br>precision=36.87<br>lift=1.01\", \"model selected 73 positives out of 199<br>precision=36.68<br>lift=1.01\", \"model selected 73 positives out of 200<br>precision=36.5<br>lift=1.0\"], \"type\": \"scatter\", \"x\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200], \"y\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 34, 34, 35, 35, 36, 37, 38, 39, 40, 40, 40, 41, 41, 42, 43, 44, 44, 44, 45, 46, 47, 47, 48, 48, 49, 50, 50, 50, 51, 51, 51, 52, 53, 53, 53, 53, 53, 53, 54, 54, 54, 54, 55, 55, 55, 56, 57, 58, 58, 58, 58, 59, 60, 61, 61, 61, 61, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 63, 64, 65, 65, 65, 65, 65, 65, 65, 66, 67, 67, 67, 67, 67, 68, 68, 68, 68, 68, 68, 68, 68, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 71, 71, 71, 71, 71, 71, 71, 72, 72, 72, 72, 72, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73]}, {\"hoverinfo\": \"text\", \"name\": \"random\", \"text\": [\"random selected 0 positives out of 1<br>precision=36.5\", \"random selected 1 positives out of 2<br>precision=36.5\", \"random selected 1 positives out of 3<br>precision=36.5\", \"random selected 1 positives out of 4<br>precision=36.5\", \"random selected 2 positives out of 5<br>precision=36.5\", \"random selected 2 positives out of 6<br>precision=36.5\", \"random selected 3 positives out of 7<br>precision=36.5\", \"random selected 3 positives out of 8<br>precision=36.5\", \"random selected 3 positives out of 9<br>precision=36.5\", \"random selected 4 positives out of 10<br>precision=36.5\", \"random selected 4 positives out of 11<br>precision=36.5\", \"random selected 4 positives out of 12<br>precision=36.5\", \"random selected 5 positives out of 13<br>precision=36.5\", \"random selected 5 positives out of 14<br>precision=36.5\", \"random selected 5 positives out of 15<br>precision=36.5\", \"random selected 6 positives out of 16<br>precision=36.5\", \"random selected 6 positives out of 17<br>precision=36.5\", \"random selected 7 positives out of 18<br>precision=36.5\", \"random selected 7 positives out of 19<br>precision=36.5\", \"random selected 7 positives out of 20<br>precision=36.5\", \"random selected 8 positives out of 21<br>precision=36.5\", \"random selected 8 positives out of 22<br>precision=36.5\", \"random selected 8 positives out of 23<br>precision=36.5\", \"random selected 9 positives out of 24<br>precision=36.5\", \"random selected 9 positives out of 25<br>precision=36.5\", \"random selected 9 positives out of 26<br>precision=36.5\", \"random selected 10 positives out of 27<br>precision=36.5\", \"random selected 10 positives out of 28<br>precision=36.5\", \"random selected 11 positives out of 29<br>precision=36.5\", \"random selected 11 positives out of 30<br>precision=36.5\", \"random selected 11 positives out of 31<br>precision=36.5\", \"random selected 12 positives out of 32<br>precision=36.5\", \"random selected 12 positives out of 33<br>precision=36.5\", \"random selected 12 positives out of 34<br>precision=36.5\", \"random selected 13 positives out of 35<br>precision=36.5\", \"random selected 13 positives out of 36<br>precision=36.5\", \"random selected 14 positives out of 37<br>precision=36.5\", \"random selected 14 positives out of 38<br>precision=36.5\", \"random selected 14 positives out of 39<br>precision=36.5\", \"random selected 15 positives out of 40<br>precision=36.5\", \"random selected 15 positives out of 41<br>precision=36.5\", \"random selected 15 positives out of 42<br>precision=36.5\", \"random selected 16 positives out of 43<br>precision=36.5\", \"random selected 16 positives out of 44<br>precision=36.5\", \"random selected 16 positives out of 45<br>precision=36.5\", \"random selected 17 positives out of 46<br>precision=36.5\", \"random selected 17 positives out of 47<br>precision=36.5\", \"random selected 18 positives out of 48<br>precision=36.5\", \"random selected 18 positives out of 49<br>precision=36.5\", \"random selected 18 positives out of 50<br>precision=36.5\", \"random selected 19 positives out of 51<br>precision=36.5\", \"random selected 19 positives out of 52<br>precision=36.5\", \"random selected 19 positives out of 53<br>precision=36.5\", \"random selected 20 positives out of 54<br>precision=36.5\", \"random selected 20 positives out of 55<br>precision=36.5\", \"random selected 20 positives out of 56<br>precision=36.5\", \"random selected 21 positives out of 57<br>precision=36.5\", \"random selected 21 positives out of 58<br>precision=36.5\", \"random selected 22 positives out of 59<br>precision=36.5\", \"random selected 22 positives out of 60<br>precision=36.5\", \"random selected 22 positives out of 61<br>precision=36.5\", \"random selected 23 positives out of 62<br>precision=36.5\", \"random selected 23 positives out of 63<br>precision=36.5\", \"random selected 23 positives out of 64<br>precision=36.5\", \"random selected 24 positives out of 65<br>precision=36.5\", \"random selected 24 positives out of 66<br>precision=36.5\", \"random selected 24 positives out of 67<br>precision=36.5\", \"random selected 25 positives out of 68<br>precision=36.5\", \"random selected 25 positives out of 69<br>precision=36.5\", \"random selected 26 positives out of 70<br>precision=36.5\", \"random selected 26 positives out of 71<br>precision=36.5\", \"random selected 26 positives out of 72<br>precision=36.5\", \"random selected 27 positives out of 73<br>precision=36.5\", \"random selected 27 positives out of 74<br>precision=36.5\", \"random selected 27 positives out of 75<br>precision=36.5\", \"random selected 28 positives out of 76<br>precision=36.5\", \"random selected 28 positives out of 77<br>precision=36.5\", \"random selected 28 positives out of 78<br>precision=36.5\", \"random selected 29 positives out of 79<br>precision=36.5\", \"random selected 29 positives out of 80<br>precision=36.5\", \"random selected 30 positives out of 81<br>precision=36.5\", \"random selected 30 positives out of 82<br>precision=36.5\", \"random selected 30 positives out of 83<br>precision=36.5\", \"random selected 31 positives out of 84<br>precision=36.5\", \"random selected 31 positives out of 85<br>precision=36.5\", \"random selected 31 positives out of 86<br>precision=36.5\", \"random selected 32 positives out of 87<br>precision=36.5\", \"random selected 32 positives out of 88<br>precision=36.5\", \"random selected 32 positives out of 89<br>precision=36.5\", \"random selected 33 positives out of 90<br>precision=36.5\", \"random selected 33 positives out of 91<br>precision=36.5\", \"random selected 34 positives out of 92<br>precision=36.5\", \"random selected 34 positives out of 93<br>precision=36.5\", \"random selected 34 positives out of 94<br>precision=36.5\", \"random selected 35 positives out of 95<br>precision=36.5\", \"random selected 35 positives out of 96<br>precision=36.5\", \"random selected 35 positives out of 97<br>precision=36.5\", \"random selected 36 positives out of 98<br>precision=36.5\", \"random selected 36 positives out of 99<br>precision=36.5\", \"random selected 36 positives out of 100<br>precision=36.5\", \"random selected 37 positives out of 101<br>precision=36.5\", \"random selected 37 positives out of 102<br>precision=36.5\", \"random selected 38 positives out of 103<br>precision=36.5\", \"random selected 38 positives out of 104<br>precision=36.5\", \"random selected 38 positives out of 105<br>precision=36.5\", \"random selected 39 positives out of 106<br>precision=36.5\", \"random selected 39 positives out of 107<br>precision=36.5\", \"random selected 39 positives out of 108<br>precision=36.5\", \"random selected 40 positives out of 109<br>precision=36.5\", \"random selected 40 positives out of 110<br>precision=36.5\", \"random selected 41 positives out of 111<br>precision=36.5\", \"random selected 41 positives out of 112<br>precision=36.5\", \"random selected 41 positives out of 113<br>precision=36.5\", \"random selected 42 positives out of 114<br>precision=36.5\", \"random selected 42 positives out of 115<br>precision=36.5\", \"random selected 42 positives out of 116<br>precision=36.5\", \"random selected 43 positives out of 117<br>precision=36.5\", \"random selected 43 positives out of 118<br>precision=36.5\", \"random selected 43 positives out of 119<br>precision=36.5\", \"random selected 44 positives out of 120<br>precision=36.5\", \"random selected 44 positives out of 121<br>precision=36.5\", \"random selected 45 positives out of 122<br>precision=36.5\", \"random selected 45 positives out of 123<br>precision=36.5\", \"random selected 45 positives out of 124<br>precision=36.5\", \"random selected 46 positives out of 125<br>precision=36.5\", \"random selected 46 positives out of 126<br>precision=36.5\", \"random selected 46 positives out of 127<br>precision=36.5\", \"random selected 47 positives out of 128<br>precision=36.5\", \"random selected 47 positives out of 129<br>precision=36.5\", \"random selected 47 positives out of 130<br>precision=36.5\", \"random selected 48 positives out of 131<br>precision=36.5\", \"random selected 48 positives out of 132<br>precision=36.5\", \"random selected 49 positives out of 133<br>precision=36.5\", \"random selected 49 positives out of 134<br>precision=36.5\", \"random selected 49 positives out of 135<br>precision=36.5\", \"random selected 50 positives out of 136<br>precision=36.5\", \"random selected 50 positives out of 137<br>precision=36.5\", \"random selected 50 positives out of 138<br>precision=36.5\", \"random selected 51 positives out of 139<br>precision=36.5\", \"random selected 51 positives out of 140<br>precision=36.5\", \"random selected 51 positives out of 141<br>precision=36.5\", \"random selected 52 positives out of 142<br>precision=36.5\", \"random selected 52 positives out of 143<br>precision=36.5\", \"random selected 53 positives out of 144<br>precision=36.5\", \"random selected 53 positives out of 145<br>precision=36.5\", \"random selected 53 positives out of 146<br>precision=36.5\", \"random selected 54 positives out of 147<br>precision=36.5\", \"random selected 54 positives out of 148<br>precision=36.5\", \"random selected 54 positives out of 149<br>precision=36.5\", \"random selected 55 positives out of 150<br>precision=36.5\", \"random selected 55 positives out of 151<br>precision=36.5\", \"random selected 55 positives out of 152<br>precision=36.5\", \"random selected 56 positives out of 153<br>precision=36.5\", \"random selected 56 positives out of 154<br>precision=36.5\", \"random selected 57 positives out of 155<br>precision=36.5\", \"random selected 57 positives out of 156<br>precision=36.5\", \"random selected 57 positives out of 157<br>precision=36.5\", \"random selected 58 positives out of 158<br>precision=36.5\", \"random selected 58 positives out of 159<br>precision=36.5\", \"random selected 58 positives out of 160<br>precision=36.5\", \"random selected 59 positives out of 161<br>precision=36.5\", \"random selected 59 positives out of 162<br>precision=36.5\", \"random selected 59 positives out of 163<br>precision=36.5\", \"random selected 60 positives out of 164<br>precision=36.5\", \"random selected 60 positives out of 165<br>precision=36.5\", \"random selected 61 positives out of 166<br>precision=36.5\", \"random selected 61 positives out of 167<br>precision=36.5\", \"random selected 61 positives out of 168<br>precision=36.5\", \"random selected 62 positives out of 169<br>precision=36.5\", \"random selected 62 positives out of 170<br>precision=36.5\", \"random selected 62 positives out of 171<br>precision=36.5\", \"random selected 63 positives out of 172<br>precision=36.5\", \"random selected 63 positives out of 173<br>precision=36.5\", \"random selected 64 positives out of 174<br>precision=36.5\", \"random selected 64 positives out of 175<br>precision=36.5\", \"random selected 64 positives out of 176<br>precision=36.5\", \"random selected 65 positives out of 177<br>precision=36.5\", \"random selected 65 positives out of 178<br>precision=36.5\", \"random selected 65 positives out of 179<br>precision=36.5\", \"random selected 66 positives out of 180<br>precision=36.5\", \"random selected 66 positives out of 181<br>precision=36.5\", \"random selected 66 positives out of 182<br>precision=36.5\", \"random selected 67 positives out of 183<br>precision=36.5\", \"random selected 67 positives out of 184<br>precision=36.5\", \"random selected 68 positives out of 185<br>precision=36.5\", \"random selected 68 positives out of 186<br>precision=36.5\", \"random selected 68 positives out of 187<br>precision=36.5\", \"random selected 69 positives out of 188<br>precision=36.5\", \"random selected 69 positives out of 189<br>precision=36.5\", \"random selected 69 positives out of 190<br>precision=36.5\", \"random selected 70 positives out of 191<br>precision=36.5\", \"random selected 70 positives out of 192<br>precision=36.5\", \"random selected 70 positives out of 193<br>precision=36.5\", \"random selected 71 positives out of 194<br>precision=36.5\", \"random selected 71 positives out of 195<br>precision=36.5\", \"random selected 72 positives out of 196<br>precision=36.5\", \"random selected 72 positives out of 197<br>precision=36.5\", \"random selected 72 positives out of 198<br>precision=36.5\", \"random selected 73 positives out of 199<br>precision=36.5\", \"random selected 73 positives out of 200<br>precision=36.5\"], \"type\": \"scatter\", \"x\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200], \"y\": [0.36, 0.73, 1.1, 1.46, 1.82, 2.19, 2.55, 2.92, 3.28, 3.65, 4.01, 4.38, 4.74, 5.11, 5.48, 5.84, 6.2, 6.57, 6.94, 7.3, 7.66, 8.03, 8.4, 8.76, 9.12, 9.49, 9.86, 10.22, 10.58, 10.95, 11.32, 11.68, 12.04, 12.41, 12.78, 13.14, 13.5, 13.87, 14.24, 14.6, 14.96, 15.33, 15.7, 16.06, 16.42, 16.79, 17.16, 17.52, 17.88, 18.25, 18.61, 18.98, 19.34, 19.71, 20.08, 20.44, 20.8, 21.17, 21.54, 21.9, 22.26, 22.63, 23.0, 23.36, 23.72, 24.09, 24.46, 24.82, 25.18, 25.55, 25.92, 26.28, 26.64, 27.01, 27.38, 27.74, 28.1, 28.47, 28.84, 29.2, 29.56, 29.93, 30.3, 30.66, 31.02, 31.39, 31.76, 32.12, 32.48, 32.85, 33.21, 33.58, 33.94, 34.31, 34.67, 35.04, 35.4, 35.77, 36.14, 36.5, 36.86, 37.23, 37.6, 37.96, 38.32, 38.69, 39.06, 39.42, 39.78, 40.15, 40.52, 40.88, 41.24, 41.61, 41.98, 42.34, 42.7, 43.07, 43.44, 43.8, 44.16, 44.53, 44.9, 45.26, 45.62, 45.99, 46.36, 46.72, 47.08, 47.45, 47.82, 48.18, 48.54, 48.91, 49.28, 49.64, 50.0, 50.37, 50.74, 51.1, 51.46, 51.83, 52.2, 52.56, 52.92, 53.29, 53.66, 54.02, 54.38, 54.75, 55.12, 55.48, 55.84, 56.21, 56.58, 56.94, 57.3, 57.67, 58.04, 58.4, 58.76, 59.13, 59.5, 59.86, 60.22, 60.59, 60.96, 61.32, 61.68, 62.05, 62.42, 62.78, 63.14, 63.51, 63.88, 64.24, 64.6, 64.97, 65.33, 65.7, 66.06, 66.43, 66.8, 67.16, 67.52, 67.89, 68.26, 68.62, 68.98, 69.35, 69.72, 70.08, 70.44, 70.81, 71.18, 71.54, 71.9, 72.27, 72.64, 73.0]}],                        {\"hovermode\": \"x\", \"legend\": {\"x\": 0.1, \"xanchor\": \"center\", \"y\": 0.9}, \"plot_bgcolor\": \"#fff\", \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"font\": {\"size\": 18}, \"text\": \"Lift curve\", \"x\": 0.5}, \"xaxis\": {\"spikemode\": \"across\", \"title\": {\"text\": \"Number sampled\"}}, \"yaxis\": {\"title\": {\"text\": \"Number of positives\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "<div>                            <div id=\"5c0b2f4e-2024-46b4-8d1c-941a043886df\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"5c0b2f4e-2024-46b4-8d1c-941a043886df\")) {                    Plotly.newPlot(                        \"5c0b2f4e-2024-46b4-8d1c-941a043886df\",                        [{\"name\": \"perfect\", \"type\": \"scatter\", \"x\": [0.0, 73.0, 200], \"y\": [0.0, 73.0, 73.0]}, {\"hoverinfo\": \"text\", \"name\": \"model\", \"text\": [\"model selected 1 positives out of 1<br>precision=100.00<br>lift=2.74\", \"model selected 2 positives out of 2<br>precision=100.00<br>lift=2.74\", \"model selected 3 positives out of 3<br>precision=100.00<br>lift=2.74\", \"model selected 4 positives out of 4<br>precision=100.00<br>lift=2.74\", \"model selected 5 positives out of 5<br>precision=100.00<br>lift=2.74\", \"model selected 6 positives out of 6<br>precision=100.00<br>lift=2.74\", \"model selected 7 positives out of 7<br>precision=100.00<br>lift=2.74\", \"model selected 8 positives out of 8<br>precision=100.00<br>lift=2.74\", \"model selected 9 positives out of 9<br>precision=100.00<br>lift=2.74\", \"model selected 10 positives out of 10<br>precision=100.00<br>lift=2.74\", \"model selected 11 positives out of 11<br>precision=100.00<br>lift=2.74\", \"model selected 12 positives out of 12<br>precision=100.00<br>lift=2.74\", \"model selected 13 positives out of 13<br>precision=100.00<br>lift=2.74\", \"model selected 14 positives out of 14<br>precision=100.00<br>lift=2.74\", \"model selected 15 positives out of 15<br>precision=100.00<br>lift=2.74\", \"model selected 16 positives out of 16<br>precision=100.00<br>lift=2.74\", \"model selected 17 positives out of 17<br>precision=100.00<br>lift=2.74\", \"model selected 18 positives out of 18<br>precision=100.00<br>lift=2.74\", \"model selected 19 positives out of 19<br>precision=100.00<br>lift=2.74\", \"model selected 20 positives out of 20<br>precision=100.00<br>lift=2.74\", \"model selected 21 positives out of 21<br>precision=100.00<br>lift=2.74\", \"model selected 22 positives out of 22<br>precision=100.00<br>lift=2.74\", \"model selected 23 positives out of 23<br>precision=100.00<br>lift=2.74\", \"model selected 24 positives out of 24<br>precision=100.00<br>lift=2.74\", \"model selected 25 positives out of 25<br>precision=100.00<br>lift=2.74\", \"model selected 26 positives out of 26<br>precision=100.00<br>lift=2.74\", \"model selected 27 positives out of 27<br>precision=100.00<br>lift=2.74\", \"model selected 28 positives out of 28<br>precision=100.00<br>lift=2.74\", \"model selected 29 positives out of 29<br>precision=100.00<br>lift=2.74\", \"model selected 30 positives out of 30<br>precision=100.00<br>lift=2.74\", \"model selected 30 positives out of 31<br>precision=96.77<br>lift=2.65\", \"model selected 31 positives out of 32<br>precision=96.88<br>lift=2.65\", \"model selected 32 positives out of 33<br>precision=96.97<br>lift=2.66\", \"model selected 33 positives out of 34<br>precision=97.06<br>lift=2.66\", \"model selected 34 positives out of 35<br>precision=97.14<br>lift=2.66\", \"model selected 34 positives out of 36<br>precision=94.44<br>lift=2.59\", \"model selected 35 positives out of 37<br>precision=94.59<br>lift=2.59\", \"model selected 36 positives out of 38<br>precision=94.74<br>lift=2.60\", \"model selected 37 positives out of 39<br>precision=94.87<br>lift=2.60\", \"model selected 38 positives out of 40<br>precision=95.00<br>lift=2.60\", \"model selected 39 positives out of 41<br>precision=95.12<br>lift=2.61\", \"model selected 40 positives out of 42<br>precision=95.24<br>lift=2.61\", \"model selected 41 positives out of 43<br>precision=95.35<br>lift=2.61\", \"model selected 41 positives out of 44<br>precision=93.18<br>lift=2.55\", \"model selected 41 positives out of 45<br>precision=91.11<br>lift=2.50\", \"model selected 41 positives out of 46<br>precision=89.13<br>lift=2.44\", \"model selected 41 positives out of 47<br>precision=87.23<br>lift=2.39\", \"model selected 42 positives out of 48<br>precision=87.50<br>lift=2.40\", \"model selected 42 positives out of 49<br>precision=85.71<br>lift=2.35\", \"model selected 42 positives out of 50<br>precision=84.00<br>lift=2.30\", \"model selected 42 positives out of 51<br>precision=82.35<br>lift=2.26\", \"model selected 43 positives out of 52<br>precision=82.69<br>lift=2.27\", \"model selected 44 positives out of 53<br>precision=83.02<br>lift=2.27\", \"model selected 45 positives out of 54<br>precision=83.33<br>lift=2.28\", \"model selected 45 positives out of 55<br>precision=81.82<br>lift=2.24\", \"model selected 46 positives out of 56<br>precision=82.14<br>lift=2.25\", \"model selected 46 positives out of 57<br>precision=80.70<br>lift=2.21\", \"model selected 47 positives out of 58<br>precision=81.03<br>lift=2.22\", \"model selected 47 positives out of 59<br>precision=79.66<br>lift=2.18\", \"model selected 47 positives out of 60<br>precision=78.33<br>lift=2.15\", \"model selected 48 positives out of 61<br>precision=78.69<br>lift=2.16\", \"model selected 49 positives out of 62<br>precision=79.03<br>lift=2.17\", \"model selected 50 positives out of 63<br>precision=79.37<br>lift=2.17\", \"model selected 51 positives out of 64<br>precision=79.69<br>lift=2.18\", \"model selected 51 positives out of 65<br>precision=78.46<br>lift=2.15\", \"model selected 51 positives out of 66<br>precision=77.27<br>lift=2.12\", \"model selected 52 positives out of 67<br>precision=77.61<br>lift=2.13\", \"model selected 52 positives out of 68<br>precision=76.47<br>lift=2.10\", \"model selected 52 positives out of 69<br>precision=75.36<br>lift=2.06\", \"model selected 53 positives out of 70<br>precision=75.71<br>lift=2.07\", \"model selected 53 positives out of 71<br>precision=74.65<br>lift=2.05\", \"model selected 54 positives out of 72<br>precision=75.00<br>lift=2.05\", \"model selected 54 positives out of 73<br>precision=73.97<br>lift=2.03\", \"model selected 54 positives out of 74<br>precision=72.97<br>lift=2.00\", \"model selected 55 positives out of 75<br>precision=73.33<br>lift=2.01\", \"model selected 55 positives out of 76<br>precision=72.37<br>lift=1.98\", \"model selected 55 positives out of 77<br>precision=71.43<br>lift=1.96\", \"model selected 55 positives out of 78<br>precision=70.51<br>lift=1.93\", \"model selected 55 positives out of 79<br>precision=69.62<br>lift=1.91\", \"model selected 56 positives out of 80<br>precision=70.00<br>lift=1.92\", \"model selected 56 positives out of 81<br>precision=69.14<br>lift=1.89\", \"model selected 57 positives out of 82<br>precision=69.51<br>lift=1.90\", \"model selected 57 positives out of 83<br>precision=68.67<br>lift=1.88\", \"model selected 57 positives out of 84<br>precision=67.86<br>lift=1.86\", \"model selected 58 positives out of 85<br>precision=68.24<br>lift=1.87\", \"model selected 59 positives out of 86<br>precision=68.60<br>lift=1.88\", \"model selected 59 positives out of 87<br>precision=67.82<br>lift=1.86\", \"model selected 59 positives out of 88<br>precision=67.05<br>lift=1.84\", \"model selected 60 positives out of 89<br>precision=67.42<br>lift=1.85\", \"model selected 61 positives out of 90<br>precision=67.78<br>lift=1.86\", \"model selected 62 positives out of 91<br>precision=68.13<br>lift=1.87\", \"model selected 62 positives out of 92<br>precision=67.39<br>lift=1.85\", \"model selected 62 positives out of 93<br>precision=66.67<br>lift=1.83\", \"model selected 62 positives out of 94<br>precision=65.96<br>lift=1.81\", \"model selected 63 positives out of 95<br>precision=66.32<br>lift=1.82\", \"model selected 64 positives out of 96<br>precision=66.67<br>lift=1.83\", \"model selected 64 positives out of 97<br>precision=65.98<br>lift=1.81\", \"model selected 65 positives out of 98<br>precision=66.33<br>lift=1.82\", \"model selected 65 positives out of 99<br>precision=65.66<br>lift=1.80\", \"model selected 66 positives out of 100<br>precision=66.00<br>lift=1.81\", \"model selected 66 positives out of 101<br>precision=65.35<br>lift=1.79\", \"model selected 67 positives out of 102<br>precision=65.69<br>lift=1.80\", \"model selected 67 positives out of 103<br>precision=65.05<br>lift=1.78\", \"model selected 67 positives out of 104<br>precision=64.42<br>lift=1.77\", \"model selected 67 positives out of 105<br>precision=63.81<br>lift=1.75\", \"model selected 68 positives out of 106<br>precision=64.15<br>lift=1.76\", \"model selected 68 positives out of 107<br>precision=63.55<br>lift=1.74\", \"model selected 68 positives out of 108<br>precision=62.96<br>lift=1.73\", \"model selected 68 positives out of 109<br>precision=62.39<br>lift=1.71\", \"model selected 68 positives out of 110<br>precision=61.82<br>lift=1.69\", \"model selected 68 positives out of 111<br>precision=61.26<br>lift=1.68\", \"model selected 68 positives out of 112<br>precision=60.71<br>lift=1.66\", \"model selected 68 positives out of 113<br>precision=60.18<br>lift=1.65\", \"model selected 68 positives out of 114<br>precision=59.65<br>lift=1.63\", \"model selected 68 positives out of 115<br>precision=59.13<br>lift=1.62\", \"model selected 68 positives out of 116<br>precision=58.62<br>lift=1.61\", \"model selected 68 positives out of 117<br>precision=58.12<br>lift=1.59\", \"model selected 68 positives out of 118<br>precision=57.63<br>lift=1.58\", \"model selected 69 positives out of 119<br>precision=57.98<br>lift=1.59\", \"model selected 69 positives out of 120<br>precision=57.50<br>lift=1.58\", \"model selected 69 positives out of 121<br>precision=57.02<br>lift=1.56\", \"model selected 69 positives out of 122<br>precision=56.56<br>lift=1.55\", \"model selected 69 positives out of 123<br>precision=56.10<br>lift=1.54\", \"model selected 69 positives out of 124<br>precision=55.65<br>lift=1.52\", \"model selected 69 positives out of 125<br>precision=55.20<br>lift=1.51\", \"model selected 69 positives out of 126<br>precision=54.76<br>lift=1.50\", \"model selected 69 positives out of 127<br>precision=54.33<br>lift=1.49\", \"model selected 69 positives out of 128<br>precision=53.91<br>lift=1.48\", \"model selected 69 positives out of 129<br>precision=53.49<br>lift=1.47\", \"model selected 69 positives out of 130<br>precision=53.08<br>lift=1.45\", \"model selected 69 positives out of 131<br>precision=52.67<br>lift=1.44\", \"model selected 69 positives out of 132<br>precision=52.27<br>lift=1.43\", \"model selected 69 positives out of 133<br>precision=51.88<br>lift=1.42\", \"model selected 69 positives out of 134<br>precision=51.49<br>lift=1.41\", \"model selected 69 positives out of 135<br>precision=51.11<br>lift=1.40\", \"model selected 69 positives out of 136<br>precision=50.74<br>lift=1.39\", \"model selected 69 positives out of 137<br>precision=50.36<br>lift=1.38\", \"model selected 69 positives out of 138<br>precision=50.00<br>lift=1.37\", \"model selected 69 positives out of 139<br>precision=49.64<br>lift=1.36\", \"model selected 69 positives out of 140<br>precision=49.29<br>lift=1.35\", \"model selected 69 positives out of 141<br>precision=48.94<br>lift=1.34\", \"model selected 69 positives out of 142<br>precision=48.59<br>lift=1.33\", \"model selected 69 positives out of 143<br>precision=48.25<br>lift=1.32\", \"model selected 69 positives out of 144<br>precision=47.92<br>lift=1.31\", \"model selected 70 positives out of 145<br>precision=48.28<br>lift=1.32\", \"model selected 70 positives out of 146<br>precision=47.95<br>lift=1.31\", \"model selected 70 positives out of 147<br>precision=47.62<br>lift=1.30\", \"model selected 70 positives out of 148<br>precision=47.30<br>lift=1.30\", \"model selected 70 positives out of 149<br>precision=46.98<br>lift=1.29\", \"model selected 70 positives out of 150<br>precision=46.67<br>lift=1.28\", \"model selected 70 positives out of 151<br>precision=46.36<br>lift=1.27\", \"model selected 70 positives out of 152<br>precision=46.05<br>lift=1.26\", \"model selected 70 positives out of 153<br>precision=45.75<br>lift=1.25\", \"model selected 70 positives out of 154<br>precision=45.45<br>lift=1.25\", \"model selected 71 positives out of 155<br>precision=45.81<br>lift=1.25\", \"model selected 71 positives out of 156<br>precision=45.51<br>lift=1.25\", \"model selected 71 positives out of 157<br>precision=45.22<br>lift=1.24\", \"model selected 71 positives out of 158<br>precision=44.94<br>lift=1.23\", \"model selected 71 positives out of 159<br>precision=44.65<br>lift=1.22\", \"model selected 71 positives out of 160<br>precision=44.38<br>lift=1.22\", \"model selected 71 positives out of 161<br>precision=44.10<br>lift=1.21\", \"model selected 71 positives out of 162<br>precision=43.83<br>lift=1.20\", \"model selected 71 positives out of 163<br>precision=43.56<br>lift=1.19\", \"model selected 71 positives out of 164<br>precision=43.29<br>lift=1.19\", \"model selected 71 positives out of 165<br>precision=43.03<br>lift=1.18\", \"model selected 71 positives out of 166<br>precision=42.77<br>lift=1.17\", \"model selected 71 positives out of 167<br>precision=42.51<br>lift=1.16\", \"model selected 71 positives out of 168<br>precision=42.26<br>lift=1.16\", \"model selected 71 positives out of 169<br>precision=42.01<br>lift=1.15\", \"model selected 71 positives out of 170<br>precision=41.76<br>lift=1.14\", \"model selected 71 positives out of 171<br>precision=41.52<br>lift=1.14\", \"model selected 71 positives out of 172<br>precision=41.28<br>lift=1.13\", \"model selected 71 positives out of 173<br>precision=41.04<br>lift=1.12\", \"model selected 71 positives out of 174<br>precision=40.80<br>lift=1.12\", \"model selected 71 positives out of 175<br>precision=40.57<br>lift=1.11\", \"model selected 71 positives out of 176<br>precision=40.34<br>lift=1.11\", \"model selected 71 positives out of 177<br>precision=40.11<br>lift=1.10\", \"model selected 71 positives out of 178<br>precision=39.89<br>lift=1.09\", \"model selected 71 positives out of 179<br>precision=39.66<br>lift=1.09\", \"model selected 71 positives out of 180<br>precision=39.44<br>lift=1.08\", \"model selected 72 positives out of 181<br>precision=39.78<br>lift=1.09\", \"model selected 72 positives out of 182<br>precision=39.56<br>lift=1.08\", \"model selected 72 positives out of 183<br>precision=39.34<br>lift=1.08\", \"model selected 72 positives out of 184<br>precision=39.13<br>lift=1.07\", \"model selected 72 positives out of 185<br>precision=38.92<br>lift=1.07\", \"model selected 72 positives out of 186<br>precision=38.71<br>lift=1.06\", \"model selected 72 positives out of 187<br>precision=38.50<br>lift=1.05\", \"model selected 72 positives out of 188<br>precision=38.30<br>lift=1.05\", \"model selected 72 positives out of 189<br>precision=38.10<br>lift=1.04\", \"model selected 72 positives out of 190<br>precision=37.89<br>lift=1.04\", \"model selected 72 positives out of 191<br>precision=37.70<br>lift=1.03\", \"model selected 72 positives out of 192<br>precision=37.50<br>lift=1.03\", \"model selected 72 positives out of 193<br>precision=37.31<br>lift=1.02\", \"model selected 72 positives out of 194<br>precision=37.11<br>lift=1.02\", \"model selected 72 positives out of 195<br>precision=36.92<br>lift=1.01\", \"model selected 73 positives out of 196<br>precision=37.24<br>lift=1.02\", \"model selected 73 positives out of 197<br>precision=37.06<br>lift=1.02\", \"model selected 73 positives out of 198<br>precision=36.87<br>lift=1.01\", \"model selected 73 positives out of 199<br>precision=36.68<br>lift=1.01\", \"model selected 73 positives out of 200<br>precision=36.50<br>lift=1.00\"], \"type\": \"scatter\", \"x\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200], \"y\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 30, 31, 32, 33, 34, 34, 35, 36, 37, 38, 39, 40, 41, 41, 41, 41, 41, 42, 42, 42, 42, 43, 44, 45, 45, 46, 46, 47, 47, 47, 48, 49, 50, 51, 51, 51, 52, 52, 52, 53, 53, 54, 54, 54, 55, 55, 55, 55, 55, 56, 56, 57, 57, 57, 58, 59, 59, 59, 60, 61, 62, 62, 62, 62, 63, 64, 64, 65, 65, 66, 66, 67, 67, 67, 67, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 73, 73, 73, 73, 73]}, {\"hoverinfo\": \"text\", \"name\": \"random\", \"text\": [\"random selected 0 positives out of 1<br>precision=36.50\", \"random selected 0 positives out of 2<br>precision=36.50\", \"random selected 1 positives out of 3<br>precision=36.50\", \"random selected 1 positives out of 4<br>precision=36.50\", \"random selected 1 positives out of 5<br>precision=36.50\", \"random selected 2 positives out of 6<br>precision=36.50\", \"random selected 2 positives out of 7<br>precision=36.50\", \"random selected 2 positives out of 8<br>precision=36.50\", \"random selected 3 positives out of 9<br>precision=36.50\", \"random selected 3 positives out of 10<br>precision=36.50\", \"random selected 4 positives out of 11<br>precision=36.50\", \"random selected 4 positives out of 12<br>precision=36.50\", \"random selected 4 positives out of 13<br>precision=36.50\", \"random selected 5 positives out of 14<br>precision=36.50\", \"random selected 5 positives out of 15<br>precision=36.50\", \"random selected 5 positives out of 16<br>precision=36.50\", \"random selected 6 positives out of 17<br>precision=36.50\", \"random selected 6 positives out of 18<br>precision=36.50\", \"random selected 6 positives out of 19<br>precision=36.50\", \"random selected 7 positives out of 20<br>precision=36.50\", \"random selected 7 positives out of 21<br>precision=36.50\", \"random selected 8 positives out of 22<br>precision=36.50\", \"random selected 8 positives out of 23<br>precision=36.50\", \"random selected 8 positives out of 24<br>precision=36.50\", \"random selected 9 positives out of 25<br>precision=36.50\", \"random selected 9 positives out of 26<br>precision=36.50\", \"random selected 9 positives out of 27<br>precision=36.50\", \"random selected 10 positives out of 28<br>precision=36.50\", \"random selected 10 positives out of 29<br>precision=36.50\", \"random selected 10 positives out of 30<br>precision=36.50\", \"random selected 11 positives out of 31<br>precision=36.50\", \"random selected 11 positives out of 32<br>precision=36.50\", \"random selected 12 positives out of 33<br>precision=36.50\", \"random selected 12 positives out of 34<br>precision=36.50\", \"random selected 12 positives out of 35<br>precision=36.50\", \"random selected 13 positives out of 36<br>precision=36.50\", \"random selected 13 positives out of 37<br>precision=36.50\", \"random selected 13 positives out of 38<br>precision=36.50\", \"random selected 14 positives out of 39<br>precision=36.50\", \"random selected 14 positives out of 40<br>precision=36.50\", \"random selected 14 positives out of 41<br>precision=36.50\", \"random selected 15 positives out of 42<br>precision=36.50\", \"random selected 15 positives out of 43<br>precision=36.50\", \"random selected 16 positives out of 44<br>precision=36.50\", \"random selected 16 positives out of 45<br>precision=36.50\", \"random selected 16 positives out of 46<br>precision=36.50\", \"random selected 17 positives out of 47<br>precision=36.50\", \"random selected 17 positives out of 48<br>precision=36.50\", \"random selected 17 positives out of 49<br>precision=36.50\", \"random selected 18 positives out of 50<br>precision=36.50\", \"random selected 18 positives out of 51<br>precision=36.50\", \"random selected 18 positives out of 52<br>precision=36.50\", \"random selected 19 positives out of 53<br>precision=36.50\", \"random selected 19 positives out of 54<br>precision=36.50\", \"random selected 20 positives out of 55<br>precision=36.50\", \"random selected 20 positives out of 56<br>precision=36.50\", \"random selected 20 positives out of 57<br>precision=36.50\", \"random selected 21 positives out of 58<br>precision=36.50\", \"random selected 21 positives out of 59<br>precision=36.50\", \"random selected 21 positives out of 60<br>precision=36.50\", \"random selected 22 positives out of 61<br>precision=36.50\", \"random selected 22 positives out of 62<br>precision=36.50\", \"random selected 22 positives out of 63<br>precision=36.50\", \"random selected 23 positives out of 64<br>precision=36.50\", \"random selected 23 positives out of 65<br>precision=36.50\", \"random selected 24 positives out of 66<br>precision=36.50\", \"random selected 24 positives out of 67<br>precision=36.50\", \"random selected 24 positives out of 68<br>precision=36.50\", \"random selected 25 positives out of 69<br>precision=36.50\", \"random selected 25 positives out of 70<br>precision=36.50\", \"random selected 25 positives out of 71<br>precision=36.50\", \"random selected 26 positives out of 72<br>precision=36.50\", \"random selected 26 positives out of 73<br>precision=36.50\", \"random selected 27 positives out of 74<br>precision=36.50\", \"random selected 27 positives out of 75<br>precision=36.50\", \"random selected 27 positives out of 76<br>precision=36.50\", \"random selected 28 positives out of 77<br>precision=36.50\", \"random selected 28 positives out of 78<br>precision=36.50\", \"random selected 28 positives out of 79<br>precision=36.50\", \"random selected 29 positives out of 80<br>precision=36.50\", \"random selected 29 positives out of 81<br>precision=36.50\", \"random selected 29 positives out of 82<br>precision=36.50\", \"random selected 30 positives out of 83<br>precision=36.50\", \"random selected 30 positives out of 84<br>precision=36.50\", \"random selected 31 positives out of 85<br>precision=36.50\", \"random selected 31 positives out of 86<br>precision=36.50\", \"random selected 31 positives out of 87<br>precision=36.50\", \"random selected 32 positives out of 88<br>precision=36.50\", \"random selected 32 positives out of 89<br>precision=36.50\", \"random selected 32 positives out of 90<br>precision=36.50\", \"random selected 33 positives out of 91<br>precision=36.50\", \"random selected 33 positives out of 92<br>precision=36.50\", \"random selected 33 positives out of 93<br>precision=36.50\", \"random selected 34 positives out of 94<br>precision=36.50\", \"random selected 34 positives out of 95<br>precision=36.50\", \"random selected 35 positives out of 96<br>precision=36.50\", \"random selected 35 positives out of 97<br>precision=36.50\", \"random selected 35 positives out of 98<br>precision=36.50\", \"random selected 36 positives out of 99<br>precision=36.50\", \"random selected 36 positives out of 100<br>precision=36.50\", \"random selected 36 positives out of 101<br>precision=36.50\", \"random selected 37 positives out of 102<br>precision=36.50\", \"random selected 37 positives out of 103<br>precision=36.50\", \"random selected 37 positives out of 104<br>precision=36.50\", \"random selected 38 positives out of 105<br>precision=36.50\", \"random selected 38 positives out of 106<br>precision=36.50\", \"random selected 39 positives out of 107<br>precision=36.50\", \"random selected 39 positives out of 108<br>precision=36.50\", \"random selected 39 positives out of 109<br>precision=36.50\", \"random selected 40 positives out of 110<br>precision=36.50\", \"random selected 40 positives out of 111<br>precision=36.50\", \"random selected 40 positives out of 112<br>precision=36.50\", \"random selected 41 positives out of 113<br>precision=36.50\", \"random selected 41 positives out of 114<br>precision=36.50\", \"random selected 41 positives out of 115<br>precision=36.50\", \"random selected 42 positives out of 116<br>precision=36.50\", \"random selected 42 positives out of 117<br>precision=36.50\", \"random selected 43 positives out of 118<br>precision=36.50\", \"random selected 43 positives out of 119<br>precision=36.50\", \"random selected 43 positives out of 120<br>precision=36.50\", \"random selected 44 positives out of 121<br>precision=36.50\", \"random selected 44 positives out of 122<br>precision=36.50\", \"random selected 44 positives out of 123<br>precision=36.50\", \"random selected 45 positives out of 124<br>precision=36.50\", \"random selected 45 positives out of 125<br>precision=36.50\", \"random selected 45 positives out of 126<br>precision=36.50\", \"random selected 46 positives out of 127<br>precision=36.50\", \"random selected 46 positives out of 128<br>precision=36.50\", \"random selected 47 positives out of 129<br>precision=36.50\", \"random selected 47 positives out of 130<br>precision=36.50\", \"random selected 47 positives out of 131<br>precision=36.50\", \"random selected 48 positives out of 132<br>precision=36.50\", \"random selected 48 positives out of 133<br>precision=36.50\", \"random selected 48 positives out of 134<br>precision=36.50\", \"random selected 49 positives out of 135<br>precision=36.50\", \"random selected 49 positives out of 136<br>precision=36.50\", \"random selected 50 positives out of 137<br>precision=36.50\", \"random selected 50 positives out of 138<br>precision=36.50\", \"random selected 50 positives out of 139<br>precision=36.50\", \"random selected 51 positives out of 140<br>precision=36.50\", \"random selected 51 positives out of 141<br>precision=36.50\", \"random selected 51 positives out of 142<br>precision=36.50\", \"random selected 52 positives out of 143<br>precision=36.50\", \"random selected 52 positives out of 144<br>precision=36.50\", \"random selected 52 positives out of 145<br>precision=36.50\", \"random selected 53 positives out of 146<br>precision=36.50\", \"random selected 53 positives out of 147<br>precision=36.50\", \"random selected 54 positives out of 148<br>precision=36.50\", \"random selected 54 positives out of 149<br>precision=36.50\", \"random selected 54 positives out of 150<br>precision=36.50\", \"random selected 55 positives out of 151<br>precision=36.50\", \"random selected 55 positives out of 152<br>precision=36.50\", \"random selected 55 positives out of 153<br>precision=36.50\", \"random selected 56 positives out of 154<br>precision=36.50\", \"random selected 56 positives out of 155<br>precision=36.50\", \"random selected 56 positives out of 156<br>precision=36.50\", \"random selected 57 positives out of 157<br>precision=36.50\", \"random selected 57 positives out of 158<br>precision=36.50\", \"random selected 58 positives out of 159<br>precision=36.50\", \"random selected 58 positives out of 160<br>precision=36.50\", \"random selected 58 positives out of 161<br>precision=36.50\", \"random selected 59 positives out of 162<br>precision=36.50\", \"random selected 59 positives out of 163<br>precision=36.50\", \"random selected 59 positives out of 164<br>precision=36.50\", \"random selected 60 positives out of 165<br>precision=36.50\", \"random selected 60 positives out of 166<br>precision=36.50\", \"random selected 60 positives out of 167<br>precision=36.50\", \"random selected 61 positives out of 168<br>precision=36.50\", \"random selected 61 positives out of 169<br>precision=36.50\", \"random selected 62 positives out of 170<br>precision=36.50\", \"random selected 62 positives out of 171<br>precision=36.50\", \"random selected 62 positives out of 172<br>precision=36.50\", \"random selected 63 positives out of 173<br>precision=36.50\", \"random selected 63 positives out of 174<br>precision=36.50\", \"random selected 63 positives out of 175<br>precision=36.50\", \"random selected 64 positives out of 176<br>precision=36.50\", \"random selected 64 positives out of 177<br>precision=36.50\", \"random selected 64 positives out of 178<br>precision=36.50\", \"random selected 65 positives out of 179<br>precision=36.50\", \"random selected 65 positives out of 180<br>precision=36.50\", \"random selected 66 positives out of 181<br>precision=36.50\", \"random selected 66 positives out of 182<br>precision=36.50\", \"random selected 66 positives out of 183<br>precision=36.50\", \"random selected 67 positives out of 184<br>precision=36.50\", \"random selected 67 positives out of 185<br>precision=36.50\", \"random selected 67 positives out of 186<br>precision=36.50\", \"random selected 68 positives out of 187<br>precision=36.50\", \"random selected 68 positives out of 188<br>precision=36.50\", \"random selected 68 positives out of 189<br>precision=36.50\", \"random selected 69 positives out of 190<br>precision=36.50\", \"random selected 69 positives out of 191<br>precision=36.50\", \"random selected 70 positives out of 192<br>precision=36.50\", \"random selected 70 positives out of 193<br>precision=36.50\", \"random selected 70 positives out of 194<br>precision=36.50\", \"random selected 71 positives out of 195<br>precision=36.50\", \"random selected 71 positives out of 196<br>precision=36.50\", \"random selected 71 positives out of 197<br>precision=36.50\", \"random selected 72 positives out of 198<br>precision=36.50\", \"random selected 72 positives out of 199<br>precision=36.50\", \"random selected 73 positives out of 200<br>precision=36.50\"], \"type\": \"scatter\", \"x\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200], \"y\": [0.36, 0.73, 1.1, 1.46, 1.82, 2.19, 2.55, 2.92, 3.28, 3.65, 4.01, 4.38, 4.74, 5.11, 5.48, 5.84, 6.2, 6.57, 6.94, 7.3, 7.66, 8.03, 8.4, 8.76, 9.12, 9.49, 9.86, 10.22, 10.58, 10.95, 11.32, 11.68, 12.04, 12.41, 12.78, 13.14, 13.5, 13.87, 14.24, 14.6, 14.96, 15.33, 15.7, 16.06, 16.42, 16.79, 17.16, 17.52, 17.88, 18.25, 18.61, 18.98, 19.34, 19.71, 20.08, 20.44, 20.8, 21.17, 21.54, 21.9, 22.26, 22.63, 23.0, 23.36, 23.72, 24.09, 24.46, 24.82, 25.18, 25.55, 25.92, 26.28, 26.64, 27.01, 27.38, 27.74, 28.1, 28.47, 28.84, 29.2, 29.56, 29.93, 30.3, 30.66, 31.02, 31.39, 31.76, 32.12, 32.48, 32.85, 33.21, 33.58, 33.94, 34.31, 34.67, 35.04, 35.4, 35.77, 36.14, 36.5, 36.86, 37.23, 37.6, 37.96, 38.32, 38.69, 39.06, 39.42, 39.78, 40.15, 40.52, 40.88, 41.24, 41.61, 41.98, 42.34, 42.7, 43.07, 43.44, 43.8, 44.16, 44.53, 44.9, 45.26, 45.62, 45.99, 46.36, 46.72, 47.08, 47.45, 47.82, 48.18, 48.54, 48.91, 49.28, 49.64, 50.0, 50.37, 50.74, 51.1, 51.46, 51.83, 52.2, 52.56, 52.92, 53.29, 53.66, 54.02, 54.38, 54.75, 55.12, 55.48, 55.84, 56.21, 56.58, 56.94, 57.3, 57.67, 58.04, 58.4, 58.76, 59.13, 59.5, 59.86, 60.22, 60.59, 60.96, 61.32, 61.68, 62.05, 62.42, 62.78, 63.14, 63.51, 63.88, 64.24, 64.6, 64.97, 65.33, 65.7, 66.06, 66.43, 66.8, 67.16, 67.52, 67.89, 68.26, 68.62, 68.98, 69.35, 69.72, 70.08, 70.44, 70.81, 71.18, 71.54, 71.9, 72.27, 72.64, 73.0]}],                        {\"hovermode\": \"x\", \"legend\": {\"x\": 0.1, \"xanchor\": \"center\", \"y\": 0.9}, \"plot_bgcolor\": \"#fff\", \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"font\": {\"size\": 18}, \"text\": \"Lift curve\", \"x\": 0.5}, \"xaxis\": {\"range\": [0, 200], \"spikemode\": \"across\", \"title\": {\"text\": \"Number sampled\"}}, \"yaxis\": {\"title\": {\"text\": \"Number of positives\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('9845ef0b-b497-420e-b8df-49f7df3ca373');\n",
+       "var gd = document.getElementById('5c0b2f4e-2024-46b4-8d1c-941a043886df');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -61716,11 +45372,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 43,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:42:30.200900Z",
-     "start_time": "2020-10-12T08:42:30.158840Z"
+     "end_time": "2021-01-20T16:00:51.918637Z",
+     "start_time": "2021-01-20T16:00:51.883102Z"
     }
    },
    "outputs": [
@@ -61731,210 +45387,230 @@
         "plotlyServerURL": "https://plot.ly"
        },
        "data": [
+        {
+         "hoverinfo": "text",
+         "name": "perfect",
+         "text": [
+          "0%, 0%",
+          "36.5%, 100%",
+          "100, 100%"
+         ],
+         "type": "scatter",
+         "x": [
+          0,
+          36.5,
+          100
+         ],
+         "y": [
+          0,
+          100,
+          100
+         ]
+        },
         {
          "hoverinfo": "text",
          "name": "model",
          "text": [
-          "model selected 1.37% of all positives in first 0.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 2.74% of all positives in first 1.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 4.11% of all positives in first 1.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 5.48% of all positives in first 2.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 6.85% of all positives in first 2.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 8.22% of all positives in first 3.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 9.59% of all positives in first 3.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 10.96% of all positives in first 4.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 12.33% of all positives in first 4.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 13.7% of all positives in first 5.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 15.07% of all positives in first 5.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 16.44% of all positives in first 6.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 17.81% of all positives in first 6.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 19.18% of all positives in first 7.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 20.55% of all positives in first 7.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 21.92% of all positives in first 8.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 23.29% of all positives in first 8.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 24.66% of all positives in first 9.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 26.03% of all positives in first 9.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 27.4% of all positives in first 10.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 28.77% of all positives in first 10.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 30.14% of all positives in first 11.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 31.51% of all positives in first 11.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 32.88% of all positives in first 12.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 34.25% of all positives in first 12.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 35.62% of all positives in first 13.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 36.99% of all positives in first 13.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 38.36% of all positives in first 14.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 39.73% of all positives in first 14.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 41.1% of all positives in first 15.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 42.47% of all positives in first 15.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 43.84% of all positives in first 16.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 45.21% of all positives in first 16.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 46.58% of all positives in first 17.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74",
-          "model selected 46.58% of all positives in first 17.5% sampled<br>precision=97.14% positives in sample<br>lift=2.66",
-          "model selected 46.58% of all positives in first 18.0% sampled<br>precision=94.44% positives in sample<br>lift=2.59",
-          "model selected 47.95% of all positives in first 18.5% sampled<br>precision=94.59% positives in sample<br>lift=2.59",
-          "model selected 47.95% of all positives in first 19.0% sampled<br>precision=92.11% positives in sample<br>lift=2.52",
-          "model selected 49.32% of all positives in first 19.5% sampled<br>precision=92.31% positives in sample<br>lift=2.53",
-          "model selected 50.68% of all positives in first 20.0% sampled<br>precision=92.5% positives in sample<br>lift=2.53",
-          "model selected 52.05% of all positives in first 20.5% sampled<br>precision=92.68% positives in sample<br>lift=2.54",
-          "model selected 53.42% of all positives in first 21.0% sampled<br>precision=92.86% positives in sample<br>lift=2.54",
-          "model selected 54.79% of all positives in first 21.5% sampled<br>precision=93.02% positives in sample<br>lift=2.55",
-          "model selected 54.79% of all positives in first 22.0% sampled<br>precision=90.91% positives in sample<br>lift=2.49",
-          "model selected 54.79% of all positives in first 22.5% sampled<br>precision=88.89% positives in sample<br>lift=2.44",
-          "model selected 56.16% of all positives in first 23.0% sampled<br>precision=89.13% positives in sample<br>lift=2.44",
-          "model selected 56.16% of all positives in first 23.5% sampled<br>precision=87.23% positives in sample<br>lift=2.39",
-          "model selected 57.53% of all positives in first 24.0% sampled<br>precision=87.5% positives in sample<br>lift=2.4",
-          "model selected 58.9% of all positives in first 24.5% sampled<br>precision=87.76% positives in sample<br>lift=2.4",
-          "model selected 60.27% of all positives in first 25.0% sampled<br>precision=88.0% positives in sample<br>lift=2.41",
-          "model selected 60.27% of all positives in first 25.5% sampled<br>precision=86.27% positives in sample<br>lift=2.36",
-          "model selected 60.27% of all positives in first 26.0% sampled<br>precision=84.62% positives in sample<br>lift=2.32",
-          "model selected 61.64% of all positives in first 26.5% sampled<br>precision=84.91% positives in sample<br>lift=2.33",
-          "model selected 63.01% of all positives in first 27.0% sampled<br>precision=85.19% positives in sample<br>lift=2.33",
-          "model selected 64.38% of all positives in first 27.5% sampled<br>precision=85.45% positives in sample<br>lift=2.34",
-          "model selected 64.38% of all positives in first 28.0% sampled<br>precision=83.93% positives in sample<br>lift=2.3",
-          "model selected 65.75% of all positives in first 28.5% sampled<br>precision=84.21% positives in sample<br>lift=2.31",
-          "model selected 65.75% of all positives in first 29.0% sampled<br>precision=82.76% positives in sample<br>lift=2.27",
-          "model selected 67.12% of all positives in first 29.5% sampled<br>precision=83.05% positives in sample<br>lift=2.28",
-          "model selected 68.49% of all positives in first 30.0% sampled<br>precision=83.33% positives in sample<br>lift=2.28",
-          "model selected 68.49% of all positives in first 30.5% sampled<br>precision=81.97% positives in sample<br>lift=2.25",
-          "model selected 68.49% of all positives in first 31.0% sampled<br>precision=80.65% positives in sample<br>lift=2.21",
-          "model selected 69.86% of all positives in first 31.5% sampled<br>precision=80.95% positives in sample<br>lift=2.22",
-          "model selected 69.86% of all positives in first 32.0% sampled<br>precision=79.69% positives in sample<br>lift=2.18",
-          "model selected 69.86% of all positives in first 32.5% sampled<br>precision=78.46% positives in sample<br>lift=2.15",
-          "model selected 71.23% of all positives in first 33.0% sampled<br>precision=78.79% positives in sample<br>lift=2.16",
-          "model selected 72.6% of all positives in first 33.5% sampled<br>precision=79.1% positives in sample<br>lift=2.17",
-          "model selected 72.6% of all positives in first 34.0% sampled<br>precision=77.94% positives in sample<br>lift=2.14",
-          "model selected 72.6% of all positives in first 34.5% sampled<br>precision=76.81% positives in sample<br>lift=2.1",
-          "model selected 72.6% of all positives in first 35.0% sampled<br>precision=75.71% positives in sample<br>lift=2.07",
-          "model selected 72.6% of all positives in first 35.5% sampled<br>precision=74.65% positives in sample<br>lift=2.05",
-          "model selected 72.6% of all positives in first 36.0% sampled<br>precision=73.61% positives in sample<br>lift=2.02",
-          "model selected 73.97% of all positives in first 36.5% sampled<br>precision=73.97% positives in sample<br>lift=2.03",
-          "model selected 73.97% of all positives in first 37.0% sampled<br>precision=72.97% positives in sample<br>lift=2.0",
-          "model selected 73.97% of all positives in first 37.5% sampled<br>precision=72.0% positives in sample<br>lift=1.97",
-          "model selected 73.97% of all positives in first 38.0% sampled<br>precision=71.05% positives in sample<br>lift=1.95",
-          "model selected 75.34% of all positives in first 38.5% sampled<br>precision=71.43% positives in sample<br>lift=1.96",
-          "model selected 75.34% of all positives in first 39.0% sampled<br>precision=70.51% positives in sample<br>lift=1.93",
-          "model selected 75.34% of all positives in first 39.5% sampled<br>precision=69.62% positives in sample<br>lift=1.91",
-          "model selected 76.71% of all positives in first 40.0% sampled<br>precision=70.0% positives in sample<br>lift=1.92",
-          "model selected 78.08% of all positives in first 40.5% sampled<br>precision=70.37% positives in sample<br>lift=1.93",
-          "model selected 79.45% of all positives in first 41.0% sampled<br>precision=70.73% positives in sample<br>lift=1.94",
-          "model selected 79.45% of all positives in first 41.5% sampled<br>precision=69.88% positives in sample<br>lift=1.91",
-          "model selected 79.45% of all positives in first 42.0% sampled<br>precision=69.05% positives in sample<br>lift=1.89",
-          "model selected 79.45% of all positives in first 42.5% sampled<br>precision=68.24% positives in sample<br>lift=1.87",
-          "model selected 80.82% of all positives in first 43.0% sampled<br>precision=68.6% positives in sample<br>lift=1.88",
-          "model selected 82.19% of all positives in first 43.5% sampled<br>precision=68.97% positives in sample<br>lift=1.89",
-          "model selected 83.56% of all positives in first 44.0% sampled<br>precision=69.32% positives in sample<br>lift=1.9",
-          "model selected 83.56% of all positives in first 44.5% sampled<br>precision=68.54% positives in sample<br>lift=1.88",
-          "model selected 83.56% of all positives in first 45.0% sampled<br>precision=67.78% positives in sample<br>lift=1.86",
-          "model selected 83.56% of all positives in first 45.5% sampled<br>precision=67.03% positives in sample<br>lift=1.84",
-          "model selected 84.93% of all positives in first 46.0% sampled<br>precision=67.39% positives in sample<br>lift=1.85",
-          "model selected 84.93% of all positives in first 46.5% sampled<br>precision=66.67% positives in sample<br>lift=1.83",
-          "model selected 84.93% of all positives in first 47.0% sampled<br>precision=65.96% positives in sample<br>lift=1.81",
-          "model selected 84.93% of all positives in first 47.5% sampled<br>precision=65.26% positives in sample<br>lift=1.79",
-          "model selected 84.93% of all positives in first 48.0% sampled<br>precision=64.58% positives in sample<br>lift=1.77",
-          "model selected 84.93% of all positives in first 48.5% sampled<br>precision=63.92% positives in sample<br>lift=1.75",
-          "model selected 84.93% of all positives in first 49.0% sampled<br>precision=63.27% positives in sample<br>lift=1.73",
-          "model selected 84.93% of all positives in first 49.5% sampled<br>precision=62.63% positives in sample<br>lift=1.72",
-          "model selected 84.93% of all positives in first 50.0% sampled<br>precision=62.0% positives in sample<br>lift=1.7",
-          "model selected 84.93% of all positives in first 50.5% sampled<br>precision=61.39% positives in sample<br>lift=1.68",
-          "model selected 86.3% of all positives in first 51.0% sampled<br>precision=61.76% positives in sample<br>lift=1.69",
-          "model selected 87.67% of all positives in first 51.5% sampled<br>precision=62.14% positives in sample<br>lift=1.7",
-          "model selected 89.04% of all positives in first 52.0% sampled<br>precision=62.5% positives in sample<br>lift=1.71",
-          "model selected 89.04% of all positives in first 52.5% sampled<br>precision=61.9% positives in sample<br>lift=1.7",
-          "model selected 89.04% of all positives in first 53.0% sampled<br>precision=61.32% positives in sample<br>lift=1.68",
-          "model selected 89.04% of all positives in first 53.5% sampled<br>precision=60.75% positives in sample<br>lift=1.66",
-          "model selected 89.04% of all positives in first 54.0% sampled<br>precision=60.19% positives in sample<br>lift=1.65",
-          "model selected 89.04% of all positives in first 54.5% sampled<br>precision=59.63% positives in sample<br>lift=1.63",
-          "model selected 89.04% of all positives in first 55.0% sampled<br>precision=59.09% positives in sample<br>lift=1.62",
-          "model selected 90.41% of all positives in first 55.5% sampled<br>precision=59.46% positives in sample<br>lift=1.63",
-          "model selected 91.78% of all positives in first 56.0% sampled<br>precision=59.82% positives in sample<br>lift=1.64",
-          "model selected 91.78% of all positives in first 56.5% sampled<br>precision=59.29% positives in sample<br>lift=1.62",
-          "model selected 91.78% of all positives in first 57.0% sampled<br>precision=58.77% positives in sample<br>lift=1.61",
-          "model selected 91.78% of all positives in first 57.5% sampled<br>precision=58.26% positives in sample<br>lift=1.6",
-          "model selected 91.78% of all positives in first 58.0% sampled<br>precision=57.76% positives in sample<br>lift=1.58",
-          "model selected 93.15% of all positives in first 58.5% sampled<br>precision=58.12% positives in sample<br>lift=1.59",
-          "model selected 93.15% of all positives in first 59.0% sampled<br>precision=57.63% positives in sample<br>lift=1.58",
-          "model selected 93.15% of all positives in first 59.5% sampled<br>precision=57.14% positives in sample<br>lift=1.57",
-          "model selected 93.15% of all positives in first 60.0% sampled<br>precision=56.67% positives in sample<br>lift=1.55",
-          "model selected 93.15% of all positives in first 60.5% sampled<br>precision=56.2% positives in sample<br>lift=1.54",
-          "model selected 93.15% of all positives in first 61.0% sampled<br>precision=55.74% positives in sample<br>lift=1.53",
-          "model selected 93.15% of all positives in first 61.5% sampled<br>precision=55.28% positives in sample<br>lift=1.51",
-          "model selected 93.15% of all positives in first 62.0% sampled<br>precision=54.84% positives in sample<br>lift=1.5",
-          "model selected 94.52% of all positives in first 62.5% sampled<br>precision=55.2% positives in sample<br>lift=1.51",
-          "model selected 94.52% of all positives in first 63.0% sampled<br>precision=54.76% positives in sample<br>lift=1.5",
-          "model selected 94.52% of all positives in first 63.5% sampled<br>precision=54.33% positives in sample<br>lift=1.49",
-          "model selected 94.52% of all positives in first 64.0% sampled<br>precision=53.91% positives in sample<br>lift=1.48",
-          "model selected 94.52% of all positives in first 64.5% sampled<br>precision=53.49% positives in sample<br>lift=1.47",
-          "model selected 94.52% of all positives in first 65.0% sampled<br>precision=53.08% positives in sample<br>lift=1.45",
-          "model selected 94.52% of all positives in first 65.5% sampled<br>precision=52.67% positives in sample<br>lift=1.44",
-          "model selected 94.52% of all positives in first 66.0% sampled<br>precision=52.27% positives in sample<br>lift=1.43",
-          "model selected 94.52% of all positives in first 66.5% sampled<br>precision=51.88% positives in sample<br>lift=1.42",
-          "model selected 94.52% of all positives in first 67.0% sampled<br>precision=51.49% positives in sample<br>lift=1.41",
-          "model selected 94.52% of all positives in first 67.5% sampled<br>precision=51.11% positives in sample<br>lift=1.4",
-          "model selected 94.52% of all positives in first 68.0% sampled<br>precision=50.74% positives in sample<br>lift=1.39",
-          "model selected 94.52% of all positives in first 68.5% sampled<br>precision=50.36% positives in sample<br>lift=1.38",
-          "model selected 94.52% of all positives in first 69.0% sampled<br>precision=50.0% positives in sample<br>lift=1.37",
-          "model selected 94.52% of all positives in first 69.5% sampled<br>precision=49.64% positives in sample<br>lift=1.36",
-          "model selected 94.52% of all positives in first 70.0% sampled<br>precision=49.29% positives in sample<br>lift=1.35",
-          "model selected 94.52% of all positives in first 70.5% sampled<br>precision=48.94% positives in sample<br>lift=1.34",
-          "model selected 94.52% of all positives in first 71.0% sampled<br>precision=48.59% positives in sample<br>lift=1.33",
-          "model selected 94.52% of all positives in first 71.5% sampled<br>precision=48.25% positives in sample<br>lift=1.32",
-          "model selected 94.52% of all positives in first 72.0% sampled<br>precision=47.92% positives in sample<br>lift=1.31",
-          "model selected 94.52% of all positives in first 72.5% sampled<br>precision=47.59% positives in sample<br>lift=1.3",
-          "model selected 94.52% of all positives in first 73.0% sampled<br>precision=47.26% positives in sample<br>lift=1.29",
-          "model selected 94.52% of all positives in first 73.5% sampled<br>precision=46.94% positives in sample<br>lift=1.29",
-          "model selected 94.52% of all positives in first 74.0% sampled<br>precision=46.62% positives in sample<br>lift=1.28",
-          "model selected 94.52% of all positives in first 74.5% sampled<br>precision=46.31% positives in sample<br>lift=1.27",
-          "model selected 94.52% of all positives in first 75.0% sampled<br>precision=46.0% positives in sample<br>lift=1.26",
-          "model selected 94.52% of all positives in first 75.5% sampled<br>precision=45.7% positives in sample<br>lift=1.25",
-          "model selected 94.52% of all positives in first 76.0% sampled<br>precision=45.39% positives in sample<br>lift=1.24",
-          "model selected 94.52% of all positives in first 76.5% sampled<br>precision=45.1% positives in sample<br>lift=1.24",
-          "model selected 94.52% of all positives in first 77.0% sampled<br>precision=44.81% positives in sample<br>lift=1.23",
-          "model selected 94.52% of all positives in first 77.5% sampled<br>precision=44.52% positives in sample<br>lift=1.22",
-          "model selected 94.52% of all positives in first 78.0% sampled<br>precision=44.23% positives in sample<br>lift=1.21",
-          "model selected 94.52% of all positives in first 78.5% sampled<br>precision=43.95% positives in sample<br>lift=1.2",
-          "model selected 94.52% of all positives in first 79.0% sampled<br>precision=43.67% positives in sample<br>lift=1.2",
-          "model selected 94.52% of all positives in first 79.5% sampled<br>precision=43.4% positives in sample<br>lift=1.19",
-          "model selected 94.52% of all positives in first 80.0% sampled<br>precision=43.12% positives in sample<br>lift=1.18",
-          "model selected 94.52% of all positives in first 80.5% sampled<br>precision=42.86% positives in sample<br>lift=1.17",
-          "model selected 94.52% of all positives in first 81.0% sampled<br>precision=42.59% positives in sample<br>lift=1.17",
-          "model selected 94.52% of all positives in first 81.5% sampled<br>precision=42.33% positives in sample<br>lift=1.16",
-          "model selected 95.89% of all positives in first 82.0% sampled<br>precision=42.68% positives in sample<br>lift=1.17",
-          "model selected 95.89% of all positives in first 82.5% sampled<br>precision=42.42% positives in sample<br>lift=1.16",
-          "model selected 95.89% of all positives in first 83.0% sampled<br>precision=42.17% positives in sample<br>lift=1.16",
-          "model selected 95.89% of all positives in first 83.5% sampled<br>precision=41.92% positives in sample<br>lift=1.15",
-          "model selected 95.89% of all positives in first 84.0% sampled<br>precision=41.67% positives in sample<br>lift=1.14",
-          "model selected 95.89% of all positives in first 84.5% sampled<br>precision=41.42% positives in sample<br>lift=1.13",
-          "model selected 95.89% of all positives in first 85.0% sampled<br>precision=41.18% positives in sample<br>lift=1.13",
-          "model selected 95.89% of all positives in first 85.5% sampled<br>precision=40.94% positives in sample<br>lift=1.12",
-          "model selected 95.89% of all positives in first 86.0% sampled<br>precision=40.7% positives in sample<br>lift=1.12",
-          "model selected 95.89% of all positives in first 86.5% sampled<br>precision=40.46% positives in sample<br>lift=1.11",
-          "model selected 95.89% of all positives in first 87.0% sampled<br>precision=40.23% positives in sample<br>lift=1.1",
-          "model selected 95.89% of all positives in first 87.5% sampled<br>precision=40.0% positives in sample<br>lift=1.1",
-          "model selected 95.89% of all positives in first 88.0% sampled<br>precision=39.77% positives in sample<br>lift=1.09",
-          "model selected 95.89% of all positives in first 88.5% sampled<br>precision=39.55% positives in sample<br>lift=1.08",
-          "model selected 95.89% of all positives in first 89.0% sampled<br>precision=39.33% positives in sample<br>lift=1.08",
-          "model selected 97.26% of all positives in first 89.5% sampled<br>precision=39.66% positives in sample<br>lift=1.09",
-          "model selected 97.26% of all positives in first 90.0% sampled<br>precision=39.44% positives in sample<br>lift=1.08",
-          "model selected 97.26% of all positives in first 90.5% sampled<br>precision=39.23% positives in sample<br>lift=1.07",
-          "model selected 97.26% of all positives in first 91.0% sampled<br>precision=39.01% positives in sample<br>lift=1.07",
-          "model selected 97.26% of all positives in first 91.5% sampled<br>precision=38.8% positives in sample<br>lift=1.06",
-          "model selected 97.26% of all positives in first 92.0% sampled<br>precision=38.59% positives in sample<br>lift=1.06",
-          "model selected 97.26% of all positives in first 92.5% sampled<br>precision=38.38% positives in sample<br>lift=1.05",
-          "model selected 98.63% of all positives in first 93.0% sampled<br>precision=38.71% positives in sample<br>lift=1.06",
-          "model selected 98.63% of all positives in first 93.5% sampled<br>precision=38.5% positives in sample<br>lift=1.05",
-          "model selected 98.63% of all positives in first 94.0% sampled<br>precision=38.3% positives in sample<br>lift=1.05",
-          "model selected 98.63% of all positives in first 94.5% sampled<br>precision=38.1% positives in sample<br>lift=1.04",
-          "model selected 98.63% of all positives in first 95.0% sampled<br>precision=37.89% positives in sample<br>lift=1.04",
-          "model selected 100.0% of all positives in first 95.5% sampled<br>precision=38.22% positives in sample<br>lift=1.05",
-          "model selected 100.0% of all positives in first 96.0% sampled<br>precision=38.02% positives in sample<br>lift=1.04",
-          "model selected 100.0% of all positives in first 96.5% sampled<br>precision=37.82% positives in sample<br>lift=1.04",
-          "model selected 100.0% of all positives in first 97.0% sampled<br>precision=37.63% positives in sample<br>lift=1.03",
-          "model selected 100.0% of all positives in first 97.5% sampled<br>precision=37.44% positives in sample<br>lift=1.03",
-          "model selected 100.0% of all positives in first 98.0% sampled<br>precision=37.24% positives in sample<br>lift=1.02",
-          "model selected 100.0% of all positives in first 98.5% sampled<br>precision=37.06% positives in sample<br>lift=1.02",
-          "model selected 100.0% of all positives in first 99.0% sampled<br>precision=36.87% positives in sample<br>lift=1.01",
-          "model selected 100.0% of all positives in first 99.5% sampled<br>precision=36.68% positives in sample<br>lift=1.01",
-          "model selected 100.0% of all positives in first 100.0% sampled<br>precision=36.5% positives in sample<br>lift=1.0"
+          "model selected 1.37% of all positives in first 0.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 2.74% of all positives in first 1.00% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 4.11% of all positives in first 1.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 5.48% of all positives in first 2.00% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 6.85% of all positives in first 2.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 8.22% of all positives in first 3.00% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 9.59% of all positives in first 3.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 10.96% of all positives in first 4.00% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 12.33% of all positives in first 4.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 13.70% of all positives in first 5.00% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 15.07% of all positives in first 5.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 16.44% of all positives in first 6.00% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 17.81% of all positives in first 6.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 19.18% of all positives in first 7.00% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 20.55% of all positives in first 7.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 21.92% of all positives in first 8.00% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 23.29% of all positives in first 8.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 24.66% of all positives in first 9.00% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 26.03% of all positives in first 9.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 27.40% of all positives in first 10.00% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 28.77% of all positives in first 10.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 30.14% of all positives in first 11.00% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 31.51% of all positives in first 11.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 32.88% of all positives in first 12.00% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 34.25% of all positives in first 12.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 35.62% of all positives in first 13.00% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 36.99% of all positives in first 13.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 38.36% of all positives in first 14.00% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 39.73% of all positives in first 14.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 41.10% of all positives in first 15.00% sampled<br>precision=100.00% positives in sample<br>lift=2.74",
+          "model selected 41.10% of all positives in first 15.50% sampled<br>precision=96.77% positives in sample<br>lift=2.65",
+          "model selected 42.47% of all positives in first 16.00% sampled<br>precision=96.88% positives in sample<br>lift=2.65",
+          "model selected 43.84% of all positives in first 16.50% sampled<br>precision=96.97% positives in sample<br>lift=2.66",
+          "model selected 45.21% of all positives in first 17.00% sampled<br>precision=97.06% positives in sample<br>lift=2.66",
+          "model selected 46.58% of all positives in first 17.50% sampled<br>precision=97.14% positives in sample<br>lift=2.66",
+          "model selected 46.58% of all positives in first 18.00% sampled<br>precision=94.44% positives in sample<br>lift=2.59",
+          "model selected 47.95% of all positives in first 18.50% sampled<br>precision=94.59% positives in sample<br>lift=2.59",
+          "model selected 49.32% of all positives in first 19.00% sampled<br>precision=94.74% positives in sample<br>lift=2.60",
+          "model selected 50.68% of all positives in first 19.50% sampled<br>precision=94.87% positives in sample<br>lift=2.60",
+          "model selected 52.05% of all positives in first 20.00% sampled<br>precision=95.00% positives in sample<br>lift=2.60",
+          "model selected 53.42% of all positives in first 20.50% sampled<br>precision=95.12% positives in sample<br>lift=2.61",
+          "model selected 54.79% of all positives in first 21.00% sampled<br>precision=95.24% positives in sample<br>lift=2.61",
+          "model selected 56.16% of all positives in first 21.50% sampled<br>precision=95.35% positives in sample<br>lift=2.61",
+          "model selected 56.16% of all positives in first 22.00% sampled<br>precision=93.18% positives in sample<br>lift=2.55",
+          "model selected 56.16% of all positives in first 22.50% sampled<br>precision=91.11% positives in sample<br>lift=2.50",
+          "model selected 56.16% of all positives in first 23.00% sampled<br>precision=89.13% positives in sample<br>lift=2.44",
+          "model selected 56.16% of all positives in first 23.50% sampled<br>precision=87.23% positives in sample<br>lift=2.39",
+          "model selected 57.53% of all positives in first 24.00% sampled<br>precision=87.50% positives in sample<br>lift=2.40",
+          "model selected 57.53% of all positives in first 24.50% sampled<br>precision=85.71% positives in sample<br>lift=2.35",
+          "model selected 57.53% of all positives in first 25.00% sampled<br>precision=84.00% positives in sample<br>lift=2.30",
+          "model selected 57.53% of all positives in first 25.50% sampled<br>precision=82.35% positives in sample<br>lift=2.26",
+          "model selected 58.90% of all positives in first 26.00% sampled<br>precision=82.69% positives in sample<br>lift=2.27",
+          "model selected 60.27% of all positives in first 26.50% sampled<br>precision=83.02% positives in sample<br>lift=2.27",
+          "model selected 61.64% of all positives in first 27.00% sampled<br>precision=83.33% positives in sample<br>lift=2.28",
+          "model selected 61.64% of all positives in first 27.50% sampled<br>precision=81.82% positives in sample<br>lift=2.24",
+          "model selected 63.01% of all positives in first 28.00% sampled<br>precision=82.14% positives in sample<br>lift=2.25",
+          "model selected 63.01% of all positives in first 28.50% sampled<br>precision=80.70% positives in sample<br>lift=2.21",
+          "model selected 64.38% of all positives in first 29.00% sampled<br>precision=81.03% positives in sample<br>lift=2.22",
+          "model selected 64.38% of all positives in first 29.50% sampled<br>precision=79.66% positives in sample<br>lift=2.18",
+          "model selected 64.38% of all positives in first 30.00% sampled<br>precision=78.33% positives in sample<br>lift=2.15",
+          "model selected 65.75% of all positives in first 30.50% sampled<br>precision=78.69% positives in sample<br>lift=2.16",
+          "model selected 67.12% of all positives in first 31.00% sampled<br>precision=79.03% positives in sample<br>lift=2.17",
+          "model selected 68.49% of all positives in first 31.50% sampled<br>precision=79.37% positives in sample<br>lift=2.17",
+          "model selected 69.86% of all positives in first 32.00% sampled<br>precision=79.69% positives in sample<br>lift=2.18",
+          "model selected 69.86% of all positives in first 32.50% sampled<br>precision=78.46% positives in sample<br>lift=2.15",
+          "model selected 69.86% of all positives in first 33.00% sampled<br>precision=77.27% positives in sample<br>lift=2.12",
+          "model selected 71.23% of all positives in first 33.50% sampled<br>precision=77.61% positives in sample<br>lift=2.13",
+          "model selected 71.23% of all positives in first 34.00% sampled<br>precision=76.47% positives in sample<br>lift=2.10",
+          "model selected 71.23% of all positives in first 34.50% sampled<br>precision=75.36% positives in sample<br>lift=2.06",
+          "model selected 72.60% of all positives in first 35.00% sampled<br>precision=75.71% positives in sample<br>lift=2.07",
+          "model selected 72.60% of all positives in first 35.50% sampled<br>precision=74.65% positives in sample<br>lift=2.05",
+          "model selected 73.97% of all positives in first 36.00% sampled<br>precision=75.00% positives in sample<br>lift=2.05",
+          "model selected 73.97% of all positives in first 36.50% sampled<br>precision=73.97% positives in sample<br>lift=2.03",
+          "model selected 73.97% of all positives in first 37.00% sampled<br>precision=72.97% positives in sample<br>lift=2.00",
+          "model selected 75.34% of all positives in first 37.50% sampled<br>precision=73.33% positives in sample<br>lift=2.01",
+          "model selected 75.34% of all positives in first 38.00% sampled<br>precision=72.37% positives in sample<br>lift=1.98",
+          "model selected 75.34% of all positives in first 38.50% sampled<br>precision=71.43% positives in sample<br>lift=1.96",
+          "model selected 75.34% of all positives in first 39.00% sampled<br>precision=70.51% positives in sample<br>lift=1.93",
+          "model selected 75.34% of all positives in first 39.50% sampled<br>precision=69.62% positives in sample<br>lift=1.91",
+          "model selected 76.71% of all positives in first 40.00% sampled<br>precision=70.00% positives in sample<br>lift=1.92",
+          "model selected 76.71% of all positives in first 40.50% sampled<br>precision=69.14% positives in sample<br>lift=1.89",
+          "model selected 78.08% of all positives in first 41.00% sampled<br>precision=69.51% positives in sample<br>lift=1.90",
+          "model selected 78.08% of all positives in first 41.50% sampled<br>precision=68.67% positives in sample<br>lift=1.88",
+          "model selected 78.08% of all positives in first 42.00% sampled<br>precision=67.86% positives in sample<br>lift=1.86",
+          "model selected 79.45% of all positives in first 42.50% sampled<br>precision=68.24% positives in sample<br>lift=1.87",
+          "model selected 80.82% of all positives in first 43.00% sampled<br>precision=68.60% positives in sample<br>lift=1.88",
+          "model selected 80.82% of all positives in first 43.50% sampled<br>precision=67.82% positives in sample<br>lift=1.86",
+          "model selected 80.82% of all positives in first 44.00% sampled<br>precision=67.05% positives in sample<br>lift=1.84",
+          "model selected 82.19% of all positives in first 44.50% sampled<br>precision=67.42% positives in sample<br>lift=1.85",
+          "model selected 83.56% of all positives in first 45.00% sampled<br>precision=67.78% positives in sample<br>lift=1.86",
+          "model selected 84.93% of all positives in first 45.50% sampled<br>precision=68.13% positives in sample<br>lift=1.87",
+          "model selected 84.93% of all positives in first 46.00% sampled<br>precision=67.39% positives in sample<br>lift=1.85",
+          "model selected 84.93% of all positives in first 46.50% sampled<br>precision=66.67% positives in sample<br>lift=1.83",
+          "model selected 84.93% of all positives in first 47.00% sampled<br>precision=65.96% positives in sample<br>lift=1.81",
+          "model selected 86.30% of all positives in first 47.50% sampled<br>precision=66.32% positives in sample<br>lift=1.82",
+          "model selected 87.67% of all positives in first 48.00% sampled<br>precision=66.67% positives in sample<br>lift=1.83",
+          "model selected 87.67% of all positives in first 48.50% sampled<br>precision=65.98% positives in sample<br>lift=1.81",
+          "model selected 89.04% of all positives in first 49.00% sampled<br>precision=66.33% positives in sample<br>lift=1.82",
+          "model selected 89.04% of all positives in first 49.50% sampled<br>precision=65.66% positives in sample<br>lift=1.80",
+          "model selected 90.41% of all positives in first 50.00% sampled<br>precision=66.00% positives in sample<br>lift=1.81",
+          "model selected 90.41% of all positives in first 50.50% sampled<br>precision=65.35% positives in sample<br>lift=1.79",
+          "model selected 91.78% of all positives in first 51.00% sampled<br>precision=65.69% positives in sample<br>lift=1.80",
+          "model selected 91.78% of all positives in first 51.50% sampled<br>precision=65.05% positives in sample<br>lift=1.78",
+          "model selected 91.78% of all positives in first 52.00% sampled<br>precision=64.42% positives in sample<br>lift=1.77",
+          "model selected 91.78% of all positives in first 52.50% sampled<br>precision=63.81% positives in sample<br>lift=1.75",
+          "model selected 93.15% of all positives in first 53.00% sampled<br>precision=64.15% positives in sample<br>lift=1.76",
+          "model selected 93.15% of all positives in first 53.50% sampled<br>precision=63.55% positives in sample<br>lift=1.74",
+          "model selected 93.15% of all positives in first 54.00% sampled<br>precision=62.96% positives in sample<br>lift=1.73",
+          "model selected 93.15% of all positives in first 54.50% sampled<br>precision=62.39% positives in sample<br>lift=1.71",
+          "model selected 93.15% of all positives in first 55.00% sampled<br>precision=61.82% positives in sample<br>lift=1.69",
+          "model selected 93.15% of all positives in first 55.50% sampled<br>precision=61.26% positives in sample<br>lift=1.68",
+          "model selected 93.15% of all positives in first 56.00% sampled<br>precision=60.71% positives in sample<br>lift=1.66",
+          "model selected 93.15% of all positives in first 56.50% sampled<br>precision=60.18% positives in sample<br>lift=1.65",
+          "model selected 93.15% of all positives in first 57.00% sampled<br>precision=59.65% positives in sample<br>lift=1.63",
+          "model selected 93.15% of all positives in first 57.50% sampled<br>precision=59.13% positives in sample<br>lift=1.62",
+          "model selected 93.15% of all positives in first 58.00% sampled<br>precision=58.62% positives in sample<br>lift=1.61",
+          "model selected 93.15% of all positives in first 58.50% sampled<br>precision=58.12% positives in sample<br>lift=1.59",
+          "model selected 93.15% of all positives in first 59.00% sampled<br>precision=57.63% positives in sample<br>lift=1.58",
+          "model selected 94.52% of all positives in first 59.50% sampled<br>precision=57.98% positives in sample<br>lift=1.59",
+          "model selected 94.52% of all positives in first 60.00% sampled<br>precision=57.50% positives in sample<br>lift=1.58",
+          "model selected 94.52% of all positives in first 60.50% sampled<br>precision=57.02% positives in sample<br>lift=1.56",
+          "model selected 94.52% of all positives in first 61.00% sampled<br>precision=56.56% positives in sample<br>lift=1.55",
+          "model selected 94.52% of all positives in first 61.50% sampled<br>precision=56.10% positives in sample<br>lift=1.54",
+          "model selected 94.52% of all positives in first 62.00% sampled<br>precision=55.65% positives in sample<br>lift=1.52",
+          "model selected 94.52% of all positives in first 62.50% sampled<br>precision=55.20% positives in sample<br>lift=1.51",
+          "model selected 94.52% of all positives in first 63.00% sampled<br>precision=54.76% positives in sample<br>lift=1.50",
+          "model selected 94.52% of all positives in first 63.50% sampled<br>precision=54.33% positives in sample<br>lift=1.49",
+          "model selected 94.52% of all positives in first 64.00% sampled<br>precision=53.91% positives in sample<br>lift=1.48",
+          "model selected 94.52% of all positives in first 64.50% sampled<br>precision=53.49% positives in sample<br>lift=1.47",
+          "model selected 94.52% of all positives in first 65.00% sampled<br>precision=53.08% positives in sample<br>lift=1.45",
+          "model selected 94.52% of all positives in first 65.50% sampled<br>precision=52.67% positives in sample<br>lift=1.44",
+          "model selected 94.52% of all positives in first 66.00% sampled<br>precision=52.27% positives in sample<br>lift=1.43",
+          "model selected 94.52% of all positives in first 66.50% sampled<br>precision=51.88% positives in sample<br>lift=1.42",
+          "model selected 94.52% of all positives in first 67.00% sampled<br>precision=51.49% positives in sample<br>lift=1.41",
+          "model selected 94.52% of all positives in first 67.50% sampled<br>precision=51.11% positives in sample<br>lift=1.40",
+          "model selected 94.52% of all positives in first 68.00% sampled<br>precision=50.74% positives in sample<br>lift=1.39",
+          "model selected 94.52% of all positives in first 68.50% sampled<br>precision=50.36% positives in sample<br>lift=1.38",
+          "model selected 94.52% of all positives in first 69.00% sampled<br>precision=50.00% positives in sample<br>lift=1.37",
+          "model selected 94.52% of all positives in first 69.50% sampled<br>precision=49.64% positives in sample<br>lift=1.36",
+          "model selected 94.52% of all positives in first 70.00% sampled<br>precision=49.29% positives in sample<br>lift=1.35",
+          "model selected 94.52% of all positives in first 70.50% sampled<br>precision=48.94% positives in sample<br>lift=1.34",
+          "model selected 94.52% of all positives in first 71.00% sampled<br>precision=48.59% positives in sample<br>lift=1.33",
+          "model selected 94.52% of all positives in first 71.50% sampled<br>precision=48.25% positives in sample<br>lift=1.32",
+          "model selected 94.52% of all positives in first 72.00% sampled<br>precision=47.92% positives in sample<br>lift=1.31",
+          "model selected 95.89% of all positives in first 72.50% sampled<br>precision=48.28% positives in sample<br>lift=1.32",
+          "model selected 95.89% of all positives in first 73.00% sampled<br>precision=47.95% positives in sample<br>lift=1.31",
+          "model selected 95.89% of all positives in first 73.50% sampled<br>precision=47.62% positives in sample<br>lift=1.30",
+          "model selected 95.89% of all positives in first 74.00% sampled<br>precision=47.30% positives in sample<br>lift=1.30",
+          "model selected 95.89% of all positives in first 74.50% sampled<br>precision=46.98% positives in sample<br>lift=1.29",
+          "model selected 95.89% of all positives in first 75.00% sampled<br>precision=46.67% positives in sample<br>lift=1.28",
+          "model selected 95.89% of all positives in first 75.50% sampled<br>precision=46.36% positives in sample<br>lift=1.27",
+          "model selected 95.89% of all positives in first 76.00% sampled<br>precision=46.05% positives in sample<br>lift=1.26",
+          "model selected 95.89% of all positives in first 76.50% sampled<br>precision=45.75% positives in sample<br>lift=1.25",
+          "model selected 95.89% of all positives in first 77.00% sampled<br>precision=45.45% positives in sample<br>lift=1.25",
+          "model selected 97.26% of all positives in first 77.50% sampled<br>precision=45.81% positives in sample<br>lift=1.25",
+          "model selected 97.26% of all positives in first 78.00% sampled<br>precision=45.51% positives in sample<br>lift=1.25",
+          "model selected 97.26% of all positives in first 78.50% sampled<br>precision=45.22% positives in sample<br>lift=1.24",
+          "model selected 97.26% of all positives in first 79.00% sampled<br>precision=44.94% positives in sample<br>lift=1.23",
+          "model selected 97.26% of all positives in first 79.50% sampled<br>precision=44.65% positives in sample<br>lift=1.22",
+          "model selected 97.26% of all positives in first 80.00% sampled<br>precision=44.38% positives in sample<br>lift=1.22",
+          "model selected 97.26% of all positives in first 80.50% sampled<br>precision=44.10% positives in sample<br>lift=1.21",
+          "model selected 97.26% of all positives in first 81.00% sampled<br>precision=43.83% positives in sample<br>lift=1.20",
+          "model selected 97.26% of all positives in first 81.50% sampled<br>precision=43.56% positives in sample<br>lift=1.19",
+          "model selected 97.26% of all positives in first 82.00% sampled<br>precision=43.29% positives in sample<br>lift=1.19",
+          "model selected 97.26% of all positives in first 82.50% sampled<br>precision=43.03% positives in sample<br>lift=1.18",
+          "model selected 97.26% of all positives in first 83.00% sampled<br>precision=42.77% positives in sample<br>lift=1.17",
+          "model selected 97.26% of all positives in first 83.50% sampled<br>precision=42.51% positives in sample<br>lift=1.16",
+          "model selected 97.26% of all positives in first 84.00% sampled<br>precision=42.26% positives in sample<br>lift=1.16",
+          "model selected 97.26% of all positives in first 84.50% sampled<br>precision=42.01% positives in sample<br>lift=1.15",
+          "model selected 97.26% of all positives in first 85.00% sampled<br>precision=41.76% positives in sample<br>lift=1.14",
+          "model selected 97.26% of all positives in first 85.50% sampled<br>precision=41.52% positives in sample<br>lift=1.14",
+          "model selected 97.26% of all positives in first 86.00% sampled<br>precision=41.28% positives in sample<br>lift=1.13",
+          "model selected 97.26% of all positives in first 86.50% sampled<br>precision=41.04% positives in sample<br>lift=1.12",
+          "model selected 97.26% of all positives in first 87.00% sampled<br>precision=40.80% positives in sample<br>lift=1.12",
+          "model selected 97.26% of all positives in first 87.50% sampled<br>precision=40.57% positives in sample<br>lift=1.11",
+          "model selected 97.26% of all positives in first 88.00% sampled<br>precision=40.34% positives in sample<br>lift=1.11",
+          "model selected 97.26% of all positives in first 88.50% sampled<br>precision=40.11% positives in sample<br>lift=1.10",
+          "model selected 97.26% of all positives in first 89.00% sampled<br>precision=39.89% positives in sample<br>lift=1.09",
+          "model selected 97.26% of all positives in first 89.50% sampled<br>precision=39.66% positives in sample<br>lift=1.09",
+          "model selected 97.26% of all positives in first 90.00% sampled<br>precision=39.44% positives in sample<br>lift=1.08",
+          "model selected 98.63% of all positives in first 90.50% sampled<br>precision=39.78% positives in sample<br>lift=1.09",
+          "model selected 98.63% of all positives in first 91.00% sampled<br>precision=39.56% positives in sample<br>lift=1.08",
+          "model selected 98.63% of all positives in first 91.50% sampled<br>precision=39.34% positives in sample<br>lift=1.08",
+          "model selected 98.63% of all positives in first 92.00% sampled<br>precision=39.13% positives in sample<br>lift=1.07",
+          "model selected 98.63% of all positives in first 92.50% sampled<br>precision=38.92% positives in sample<br>lift=1.07",
+          "model selected 98.63% of all positives in first 93.00% sampled<br>precision=38.71% positives in sample<br>lift=1.06",
+          "model selected 98.63% of all positives in first 93.50% sampled<br>precision=38.50% positives in sample<br>lift=1.05",
+          "model selected 98.63% of all positives in first 94.00% sampled<br>precision=38.30% positives in sample<br>lift=1.05",
+          "model selected 98.63% of all positives in first 94.50% sampled<br>precision=38.10% positives in sample<br>lift=1.04",
+          "model selected 98.63% of all positives in first 95.00% sampled<br>precision=37.89% positives in sample<br>lift=1.04",
+          "model selected 98.63% of all positives in first 95.50% sampled<br>precision=37.70% positives in sample<br>lift=1.03",
+          "model selected 98.63% of all positives in first 96.00% sampled<br>precision=37.50% positives in sample<br>lift=1.03",
+          "model selected 98.63% of all positives in first 96.50% sampled<br>precision=37.31% positives in sample<br>lift=1.02",
+          "model selected 98.63% of all positives in first 97.00% sampled<br>precision=37.11% positives in sample<br>lift=1.02",
+          "model selected 98.63% of all positives in first 97.50% sampled<br>precision=36.92% positives in sample<br>lift=1.01",
+          "model selected 100.00% of all positives in first 98.00% sampled<br>precision=37.24% positives in sample<br>lift=1.02",
+          "model selected 100.00% of all positives in first 98.50% sampled<br>precision=37.06% positives in sample<br>lift=1.02",
+          "model selected 100.00% of all positives in first 99.00% sampled<br>precision=36.87% positives in sample<br>lift=1.01",
+          "model selected 100.00% of all positives in first 99.50% sampled<br>precision=36.68% positives in sample<br>lift=1.01",
+          "model selected 100.00% of all positives in first 100.00% sampled<br>precision=36.50% positives in sample<br>lift=1.00"
          ],
          "type": "scatter",
          "x": [
@@ -62170,88 +45846,77 @@
           38.36,
           39.73,
           41.1,
+          41.1,
           42.47,
           43.84,
           45.21,
           46.58,
           46.58,
-          46.58,
-          47.95,
           47.95,
           49.32,
           50.68,
           52.05,
           53.42,
           54.79,
-          54.79,
-          54.79,
+          56.16,
+          56.16,
+          56.16,
           56.16,
           56.16,
           57.53,
+          57.53,
+          57.53,
+          57.53,
           58.9,
           60.27,
-          60.27,
-          60.27,
           61.64,
+          61.64,
+          63.01,
           63.01,
           64.38,
           64.38,
-          65.75,
+          64.38,
           65.75,
           67.12,
           68.49,
-          68.49,
-          68.49,
           69.86,
           69.86,
           69.86,
           71.23,
-          72.6,
-          72.6,
-          72.6,
-          72.6,
+          71.23,
+          71.23,
           72.6,
           72.6,
           73.97,
           73.97,
           73.97,
-          73.97,
           75.34,
           75.34,
           75.34,
+          75.34,
+          75.34,
+          76.71,
           76.71,
           78.08,
+          78.08,
+          78.08,
           79.45,
-          79.45,
-          79.45,
-          79.45,
+          80.82,
+          80.82,
           80.82,
           82.19,
           83.56,
-          83.56,
-          83.56,
-          83.56,
-          84.93,
-          84.93,
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@@ -62264,6 +45929,11 @@
           93.15,
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@@ -62290,24 +45960,6 @@
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@@ -62325,16 +45977,40 @@
           97.26,
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           98.63,
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           98.63,
-          100,
-          100,
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-          100,
-          100,
           100,
           100,
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@@ -62346,206 +46022,206 @@
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          "text": [
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-          "random selected 1.0% of all positives in first 1.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 1.5% of all positives in first 1.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 2.0% of all positives in first 2.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 2.5% of all positives in first 2.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 3.0% of all positives in first 3.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 3.5% of all positives in first 3.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 4.0% of all positives in first 4.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 4.5% of all positives in first 4.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 5.0% of all positives in first 5.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 5.5% of all positives in first 5.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 6.0% of all positives in first 6.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 6.5% of all positives in first 6.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 7.0% of all positives in first 7.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 7.5% of all positives in first 7.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 8.0% of all positives in first 8.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 8.5% of all positives in first 8.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 9.0% of all positives in first 9.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 9.5% of all positives in first 9.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 10.0% of all positives in first 10.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 10.5% of all positives in first 10.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 11.0% of all positives in first 11.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 11.5% of all positives in first 11.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 12.0% of all positives in first 12.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 12.5% of all positives in first 12.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 13.0% of all positives in first 13.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 13.5% of all positives in first 13.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 14.0% of all positives in first 14.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 14.5% of all positives in first 14.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 15.0% of all positives in first 15.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 15.5% of all positives in first 15.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 16.0% of all positives in first 16.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 16.5% of all positives in first 16.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 17.0% of all positives in first 17.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 17.5% of all positives in first 17.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 18.0% of all positives in first 18.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 18.5% of all positives in first 18.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 19.0% of all positives in first 19.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 19.5% of all positives in first 19.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 20.0% of all positives in first 20.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 20.5% of all positives in first 20.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 21.0% of all positives in first 21.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 21.5% of all positives in first 21.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 22.0% of all positives in first 22.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 22.5% of all positives in first 22.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 23.0% of all positives in first 23.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 23.5% of all positives in first 23.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 24.0% of all positives in first 24.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 24.5% of all positives in first 24.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 25.0% of all positives in first 25.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 25.5% of all positives in first 25.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 26.0% of all positives in first 26.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 26.5% of all positives in first 26.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 27.0% of all positives in first 27.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 27.5% of all positives in first 27.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 28.0% of all positives in first 28.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 28.5% of all positives in first 28.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 29.0% of all positives in first 29.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 29.5% of all positives in first 29.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 30.0% of all positives in first 30.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 30.5% of all positives in first 30.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 31.0% of all positives in first 31.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 31.5% of all positives in first 31.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 32.0% of all positives in first 32.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 32.5% of all positives in first 32.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 33.0% of all positives in first 33.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 33.5% of all positives in first 33.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 34.0% of all positives in first 34.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 34.5% of all positives in first 34.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 35.0% of all positives in first 35.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 35.5% of all positives in first 35.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 36.0% of all positives in first 36.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 36.5% of all positives in first 36.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 37.0% of all positives in first 37.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 37.5% of all positives in first 37.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 38.0% of all positives in first 38.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 38.5% of all positives in first 38.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 39.0% of all positives in first 39.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 39.5% of all positives in first 39.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 40.0% of all positives in first 40.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 40.5% of all positives in first 40.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 41.0% of all positives in first 41.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 41.5% of all positives in first 41.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 42.0% of all positives in first 42.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 42.5% of all positives in first 42.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 43.0% of all positives in first 43.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 43.5% of all positives in first 43.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 44.0% of all positives in first 44.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 44.5% of all positives in first 44.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 45.0% of all positives in first 45.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 45.5% of all positives in first 45.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 46.0% of all positives in first 46.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 46.5% of all positives in first 46.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 47.0% of all positives in first 47.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 47.5% of all positives in first 47.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 48.0% of all positives in first 48.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 48.5% of all positives in first 48.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 49.0% of all positives in first 49.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 49.5% of all positives in first 49.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 50.0% of all positives in first 50.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 50.5% of all positives in first 50.5% sampled<br>precision=36.5% positives in sample",
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-          "random selected 51.5% of all positives in first 51.5% sampled<br>precision=36.5% positives in sample",
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-          "random selected 55.0% of all positives in first 55.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 55.5% of all positives in first 55.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 56.0% of all positives in first 56.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 56.5% of all positives in first 56.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 57.0% of all positives in first 57.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 57.5% of all positives in first 57.5% sampled<br>precision=36.5% positives in sample",
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-          "random selected 63.0% of all positives in first 63.0% sampled<br>precision=36.5% positives in sample",
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-          "random selected 64.0% of all positives in first 64.0% sampled<br>precision=36.5% positives in sample",
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-          "random selected 65.0% of all positives in first 65.0% sampled<br>precision=36.5% positives in sample",
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-          "random selected 72.0% of all positives in first 72.0% sampled<br>precision=36.5% positives in sample",
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-          "random selected 73.0% of all positives in first 73.0% sampled<br>precision=36.5% positives in sample",
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-          "random selected 80.0% of all positives in first 80.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 80.5% of all positives in first 80.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 81.0% of all positives in first 81.0% sampled<br>precision=36.5% positives in sample",
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-          "random selected 83.0% of all positives in first 83.0% sampled<br>precision=36.5% positives in sample",
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-          "random selected 91.0% of all positives in first 91.0% sampled<br>precision=36.5% positives in sample",
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-          "random selected 92.0% of all positives in first 92.0% sampled<br>precision=36.5% positives in sample",
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-          "random selected 93.0% of all positives in first 93.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 93.5% of all positives in first 93.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 94.0% of all positives in first 94.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 94.5% of all positives in first 94.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 95.0% of all positives in first 95.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 95.5% of all positives in first 95.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 96.0% of all positives in first 96.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 96.5% of all positives in first 96.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 97.0% of all positives in first 97.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 97.5% of all positives in first 97.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 98.0% of all positives in first 98.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 98.5% of all positives in first 98.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 99.0% of all positives in first 99.0% sampled<br>precision=36.5% positives in sample",
-          "random selected 99.5% of all positives in first 99.5% sampled<br>precision=36.5% positives in sample",
-          "random selected 100.0% of all positives in first 100.0% sampled<br>precision=36.5% positives in sample"
+          "random selected 0.50% of all positives in first 0.50% sampled<br>precision=36.50% positives in sample",
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          ],
          "type": "scatter",
          "x": [
@@ -62958,14 +46634,14 @@
         "annotations": [
          {
           "text": "cutoff=0.75",
-          "x": 15.5,
+          "x": 11.5,
           "y": 5,
           "yref": "y"
          },
          {
           "align": "right",
           "showarrow": false,
-          "text": "Model: 31 out 31 (100.0%)",
+          "text": "Model: 23 out 23 (100.0%)",
           "x": 0.5,
           "xanchor": "left",
           "xref": "paper",
@@ -62976,7 +46652,7 @@
          {
           "align": "right",
           "showarrow": false,
-          "text": "Random: 11 out 31 (36.5%)",
+          "text": "Random: 8 out 23 (36.5%)",
           "x": 0.5,
           "xanchor": "left",
           "xref": "paper",
@@ -63006,8 +46682,8 @@
         "shapes": [
          {
           "type": "line",
-          "x0": 15.5,
-          "x1": 15.5,
+          "x0": 11.5,
+          "x1": 11.5,
           "xref": "x",
           "y0": 0,
           "y1": 100,
@@ -63031,6 +46707,10 @@
          "x": 0.5
         },
         "xaxis": {
+         "range": [
+          0,
+          100
+         ],
          "spikemode": "across",
          "title": {
           "text": "Percentage sampled"
@@ -63044,9 +46724,9 @@
        }
       },
       "text/html": [
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positives in sample<br>lift=2.74\", \"model selected 17.81% of all positives in first 6.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 19.18% of all positives in first 7.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 20.55% of all positives in first 7.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 21.92% of all positives in first 8.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 23.29% of all positives in first 8.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 24.66% of all positives in first 9.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 26.03% of all positives in first 9.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 27.4% of all positives in first 10.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 28.77% of all positives in first 10.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 30.14% of all positives in first 11.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 31.51% of all positives in first 11.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 32.88% of all positives in first 12.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 34.25% of all positives in first 12.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 35.62% of all positives in first 13.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 36.99% of all positives in first 13.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 38.36% of all positives in first 14.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 39.73% of all positives in first 14.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 41.1% of all positives in first 15.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 42.47% of all positives in first 15.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 43.84% of all positives in first 16.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 45.21% of all positives in first 16.5% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 46.58% of all positives in first 17.0% sampled<br>precision=100.0% positives in sample<br>lift=2.74\", \"model selected 46.58% of all positives in first 17.5% sampled<br>precision=97.14% positives in sample<br>lift=2.66\", \"model selected 46.58% of all positives in first 18.0% sampled<br>precision=94.44% positives in sample<br>lift=2.59\", \"model selected 47.95% of all positives in first 18.5% sampled<br>precision=94.59% positives in sample<br>lift=2.59\", \"model selected 47.95% of all positives in first 19.0% sampled<br>precision=92.11% positives in sample<br>lift=2.52\", \"model selected 49.32% of all positives in first 19.5% sampled<br>precision=92.31% positives in sample<br>lift=2.53\", \"model selected 50.68% of all positives in first 20.0% sampled<br>precision=92.5% positives in sample<br>lift=2.53\", \"model selected 52.05% of all positives in first 20.5% sampled<br>precision=92.68% positives in sample<br>lift=2.54\", \"model selected 53.42% of all positives in first 21.0% sampled<br>precision=92.86% positives in sample<br>lift=2.54\", \"model selected 54.79% of all positives in first 21.5% sampled<br>precision=93.02% positives in sample<br>lift=2.55\", \"model selected 54.79% of all positives in first 22.0% sampled<br>precision=90.91% positives in sample<br>lift=2.49\", \"model selected 54.79% of all positives in first 22.5% sampled<br>precision=88.89% positives in sample<br>lift=2.44\", \"model selected 56.16% of all positives in first 23.0% sampled<br>precision=89.13% positives in sample<br>lift=2.44\", \"model selected 56.16% of all positives in first 23.5% sampled<br>precision=87.23% positives in sample<br>lift=2.39\", \"model selected 57.53% of all positives in first 24.0% sampled<br>precision=87.5% positives in sample<br>lift=2.4\", \"model selected 58.9% of all positives in first 24.5% sampled<br>precision=87.76% positives in sample<br>lift=2.4\", \"model selected 60.27% of all positives in first 25.0% sampled<br>precision=88.0% positives in sample<br>lift=2.41\", \"model selected 60.27% of all positives in first 25.5% sampled<br>precision=86.27% positives in sample<br>lift=2.36\", \"model selected 60.27% of all positives in first 26.0% sampled<br>precision=84.62% positives in sample<br>lift=2.32\", \"model selected 61.64% of all positives in first 26.5% sampled<br>precision=84.91% positives in sample<br>lift=2.33\", \"model selected 63.01% of all positives in first 27.0% sampled<br>precision=85.19% positives in sample<br>lift=2.33\", \"model selected 64.38% of all positives in first 27.5% sampled<br>precision=85.45% positives in sample<br>lift=2.34\", \"model selected 64.38% of all positives in first 28.0% sampled<br>precision=83.93% positives in sample<br>lift=2.3\", \"model selected 65.75% of all positives in first 28.5% sampled<br>precision=84.21% positives in sample<br>lift=2.31\", \"model selected 65.75% of all positives in first 29.0% sampled<br>precision=82.76% positives in sample<br>lift=2.27\", \"model selected 67.12% of all positives in first 29.5% sampled<br>precision=83.05% positives in sample<br>lift=2.28\", \"model selected 68.49% of all positives in first 30.0% sampled<br>precision=83.33% positives in sample<br>lift=2.28\", \"model selected 68.49% of all positives in first 30.5% sampled<br>precision=81.97% positives in sample<br>lift=2.25\", \"model selected 68.49% of all positives in first 31.0% sampled<br>precision=80.65% positives in sample<br>lift=2.21\", \"model selected 69.86% of all positives in first 31.5% sampled<br>precision=80.95% positives in sample<br>lift=2.22\", \"model selected 69.86% of all positives in first 32.0% sampled<br>precision=79.69% positives in sample<br>lift=2.18\", \"model selected 69.86% of all positives in first 32.5% sampled<br>precision=78.46% positives in sample<br>lift=2.15\", \"model selected 71.23% of all positives in first 33.0% sampled<br>precision=78.79% positives in sample<br>lift=2.16\", \"model selected 72.6% of all positives in first 33.5% sampled<br>precision=79.1% positives in sample<br>lift=2.17\", \"model selected 72.6% of all positives in first 34.0% sampled<br>precision=77.94% positives in sample<br>lift=2.14\", \"model selected 72.6% of all positives in first 34.5% sampled<br>precision=76.81% positives in sample<br>lift=2.1\", \"model selected 72.6% of all positives in first 35.0% sampled<br>precision=75.71% positives in sample<br>lift=2.07\", \"model selected 72.6% of all positives in first 35.5% sampled<br>precision=74.65% positives in sample<br>lift=2.05\", \"model selected 72.6% of all positives in first 36.0% sampled<br>precision=73.61% positives in sample<br>lift=2.02\", \"model selected 73.97% of all positives in first 36.5% sampled<br>precision=73.97% positives in sample<br>lift=2.03\", \"model selected 73.97% of all positives in first 37.0% sampled<br>precision=72.97% positives in sample<br>lift=2.0\", \"model selected 73.97% of all positives in first 37.5% sampled<br>precision=72.0% positives in sample<br>lift=1.97\", \"model selected 73.97% of all positives in first 38.0% sampled<br>precision=71.05% positives in sample<br>lift=1.95\", \"model selected 75.34% of all positives in first 38.5% sampled<br>precision=71.43% positives in sample<br>lift=1.96\", \"model selected 75.34% of all positives in first 39.0% sampled<br>precision=70.51% positives in sample<br>lift=1.93\", \"model selected 75.34% of all positives in first 39.5% sampled<br>precision=69.62% positives in sample<br>lift=1.91\", \"model selected 76.71% of all positives in first 40.0% sampled<br>precision=70.0% positives in sample<br>lift=1.92\", \"model selected 78.08% of all positives in first 40.5% sampled<br>precision=70.37% positives in sample<br>lift=1.93\", \"model selected 79.45% of all positives in first 41.0% sampled<br>precision=70.73% positives in sample<br>lift=1.94\", \"model selected 79.45% of all positives in first 41.5% sampled<br>precision=69.88% positives in sample<br>lift=1.91\", \"model selected 79.45% of all positives in first 42.0% sampled<br>precision=69.05% positives in sample<br>lift=1.89\", \"model selected 79.45% of all positives in first 42.5% sampled<br>precision=68.24% positives in sample<br>lift=1.87\", \"model selected 80.82% of all positives in first 43.0% sampled<br>precision=68.6% positives in sample<br>lift=1.88\", \"model selected 82.19% of all positives in first 43.5% sampled<br>precision=68.97% positives in sample<br>lift=1.89\", \"model selected 83.56% of all positives in first 44.0% sampled<br>precision=69.32% positives in sample<br>lift=1.9\", \"model selected 83.56% of all positives in first 44.5% sampled<br>precision=68.54% positives in sample<br>lift=1.88\", \"model selected 83.56% of all positives in first 45.0% sampled<br>precision=67.78% positives in sample<br>lift=1.86\", \"model selected 83.56% of all positives in first 45.5% sampled<br>precision=67.03% positives in sample<br>lift=1.84\", \"model selected 84.93% of all positives in first 46.0% sampled<br>precision=67.39% positives in sample<br>lift=1.85\", \"model selected 84.93% of all positives in first 46.5% sampled<br>precision=66.67% positives in sample<br>lift=1.83\", \"model selected 84.93% of all positives in first 47.0% sampled<br>precision=65.96% positives in sample<br>lift=1.81\", \"model selected 84.93% of all positives in first 47.5% sampled<br>precision=65.26% positives in sample<br>lift=1.79\", \"model selected 84.93% of all positives in first 48.0% sampled<br>precision=64.58% positives in sample<br>lift=1.77\", \"model selected 84.93% of all positives in first 48.5% sampled<br>precision=63.92% positives in sample<br>lift=1.75\", \"model selected 84.93% of all positives in first 49.0% sampled<br>precision=63.27% positives in sample<br>lift=1.73\", \"model selected 84.93% of all positives in first 49.5% sampled<br>precision=62.63% positives in sample<br>lift=1.72\", \"model selected 84.93% of all positives in first 50.0% sampled<br>precision=62.0% positives in sample<br>lift=1.7\", \"model selected 84.93% of all positives in first 50.5% sampled<br>precision=61.39% positives in sample<br>lift=1.68\", \"model selected 86.3% of all positives in first 51.0% sampled<br>precision=61.76% positives in sample<br>lift=1.69\", \"model selected 87.67% of all positives in first 51.5% sampled<br>precision=62.14% positives in sample<br>lift=1.7\", \"model selected 89.04% of all positives in first 52.0% sampled<br>precision=62.5% positives in sample<br>lift=1.71\", \"model selected 89.04% of all positives in first 52.5% sampled<br>precision=61.9% positives in sample<br>lift=1.7\", \"model selected 89.04% of all positives in first 53.0% sampled<br>precision=61.32% positives in sample<br>lift=1.68\", \"model selected 89.04% of all positives in first 53.5% sampled<br>precision=60.75% positives in sample<br>lift=1.66\", \"model selected 89.04% of all positives in first 54.0% sampled<br>precision=60.19% positives in sample<br>lift=1.65\", \"model selected 89.04% of all positives in first 54.5% sampled<br>precision=59.63% positives in sample<br>lift=1.63\", \"model selected 89.04% of all positives in first 55.0% sampled<br>precision=59.09% positives in sample<br>lift=1.62\", \"model selected 90.41% of all positives in first 55.5% sampled<br>precision=59.46% positives in sample<br>lift=1.63\", \"model selected 91.78% of all positives in first 56.0% sampled<br>precision=59.82% positives in sample<br>lift=1.64\", \"model selected 91.78% of all positives in first 56.5% sampled<br>precision=59.29% positives in sample<br>lift=1.62\", \"model selected 91.78% of all positives in first 57.0% sampled<br>precision=58.77% positives in sample<br>lift=1.61\", \"model selected 91.78% of all positives in first 57.5% sampled<br>precision=58.26% positives in sample<br>lift=1.6\", \"model selected 91.78% of all positives in first 58.0% sampled<br>precision=57.76% positives in sample<br>lift=1.58\", \"model selected 93.15% of all positives in first 58.5% sampled<br>precision=58.12% positives in sample<br>lift=1.59\", \"model selected 93.15% of all positives in first 59.0% sampled<br>precision=57.63% positives in sample<br>lift=1.58\", \"model selected 93.15% of all positives in first 59.5% sampled<br>precision=57.14% positives in sample<br>lift=1.57\", \"model selected 93.15% of all positives in first 60.0% sampled<br>precision=56.67% positives in sample<br>lift=1.55\", \"model selected 93.15% of all positives in first 60.5% sampled<br>precision=56.2% positives in sample<br>lift=1.54\", \"model selected 93.15% of all positives in first 61.0% sampled<br>precision=55.74% positives in sample<br>lift=1.53\", \"model selected 93.15% of all positives in first 61.5% sampled<br>precision=55.28% positives in sample<br>lift=1.51\", \"model selected 93.15% of all positives in first 62.0% sampled<br>precision=54.84% positives in sample<br>lift=1.5\", \"model selected 94.52% of all positives in first 62.5% sampled<br>precision=55.2% positives in sample<br>lift=1.51\", \"model selected 94.52% of all positives in first 63.0% sampled<br>precision=54.76% positives in sample<br>lift=1.5\", \"model selected 94.52% of all positives in first 63.5% sampled<br>precision=54.33% positives in sample<br>lift=1.49\", \"model selected 94.52% of all positives in first 64.0% sampled<br>precision=53.91% positives in sample<br>lift=1.48\", \"model selected 94.52% of all positives in first 64.5% sampled<br>precision=53.49% positives in sample<br>lift=1.47\", \"model selected 94.52% of all positives in first 65.0% sampled<br>precision=53.08% positives in sample<br>lift=1.45\", \"model selected 94.52% of all positives in first 65.5% sampled<br>precision=52.67% positives in sample<br>lift=1.44\", \"model selected 94.52% of all positives in first 66.0% sampled<br>precision=52.27% positives in sample<br>lift=1.43\", \"model selected 94.52% of all positives in first 66.5% sampled<br>precision=51.88% positives in sample<br>lift=1.42\", \"model selected 94.52% of all positives in first 67.0% sampled<br>precision=51.49% positives in sample<br>lift=1.41\", \"model selected 94.52% of all positives in first 67.5% sampled<br>precision=51.11% positives in sample<br>lift=1.4\", \"model selected 94.52% of all positives in first 68.0% sampled<br>precision=50.74% positives in sample<br>lift=1.39\", \"model selected 94.52% of all positives in first 68.5% sampled<br>precision=50.36% positives in sample<br>lift=1.38\", \"model selected 94.52% of all positives in first 69.0% sampled<br>precision=50.0% positives in sample<br>lift=1.37\", \"model selected 94.52% of all positives in first 69.5% sampled<br>precision=49.64% positives in sample<br>lift=1.36\", \"model selected 94.52% of all positives in first 70.0% sampled<br>precision=49.29% positives in sample<br>lift=1.35\", \"model selected 94.52% of all positives in first 70.5% sampled<br>precision=48.94% positives in sample<br>lift=1.34\", \"model selected 94.52% of all positives in first 71.0% sampled<br>precision=48.59% positives in sample<br>lift=1.33\", \"model selected 94.52% of all positives in first 71.5% sampled<br>precision=48.25% positives in sample<br>lift=1.32\", \"model selected 94.52% of all positives in first 72.0% sampled<br>precision=47.92% positives in sample<br>lift=1.31\", \"model selected 94.52% of all positives in first 72.5% sampled<br>precision=47.59% positives in sample<br>lift=1.3\", \"model selected 94.52% of all positives in first 73.0% sampled<br>precision=47.26% positives in sample<br>lift=1.29\", \"model selected 94.52% of all positives in first 73.5% sampled<br>precision=46.94% positives in sample<br>lift=1.29\", \"model selected 94.52% of all positives in first 74.0% sampled<br>precision=46.62% positives in sample<br>lift=1.28\", \"model selected 94.52% of all positives in first 74.5% sampled<br>precision=46.31% positives in sample<br>lift=1.27\", \"model selected 94.52% of all positives in first 75.0% sampled<br>precision=46.0% positives in sample<br>lift=1.26\", \"model selected 94.52% of all positives in first 75.5% sampled<br>precision=45.7% positives in sample<br>lift=1.25\", \"model selected 94.52% of all positives in first 76.0% sampled<br>precision=45.39% positives in sample<br>lift=1.24\", \"model selected 94.52% of all positives in first 76.5% sampled<br>precision=45.1% positives in sample<br>lift=1.24\", \"model selected 94.52% of all positives in first 77.0% sampled<br>precision=44.81% positives in sample<br>lift=1.23\", \"model selected 94.52% of all positives in first 77.5% sampled<br>precision=44.52% positives in sample<br>lift=1.22\", \"model selected 94.52% of all positives in first 78.0% sampled<br>precision=44.23% positives in sample<br>lift=1.21\", \"model selected 94.52% of all positives in first 78.5% sampled<br>precision=43.95% positives in sample<br>lift=1.2\", \"model selected 94.52% of all positives in first 79.0% sampled<br>precision=43.67% positives in sample<br>lift=1.2\", \"model selected 94.52% of all positives in first 79.5% sampled<br>precision=43.4% positives in sample<br>lift=1.19\", \"model selected 94.52% of all positives in first 80.0% sampled<br>precision=43.12% positives in sample<br>lift=1.18\", \"model selected 94.52% of all positives in first 80.5% sampled<br>precision=42.86% positives in sample<br>lift=1.17\", \"model selected 94.52% of all positives in first 81.0% sampled<br>precision=42.59% positives in sample<br>lift=1.17\", \"model selected 94.52% of all positives in first 81.5% sampled<br>precision=42.33% positives in sample<br>lift=1.16\", \"model selected 95.89% of all positives in first 82.0% sampled<br>precision=42.68% positives in sample<br>lift=1.17\", \"model selected 95.89% of all positives in first 82.5% sampled<br>precision=42.42% positives in sample<br>lift=1.16\", \"model selected 95.89% of all positives in first 83.0% sampled<br>precision=42.17% positives in sample<br>lift=1.16\", \"model selected 95.89% of all positives in first 83.5% sampled<br>precision=41.92% positives in sample<br>lift=1.15\", \"model selected 95.89% of all positives in first 84.0% sampled<br>precision=41.67% positives in sample<br>lift=1.14\", \"model selected 95.89% of all positives in first 84.5% sampled<br>precision=41.42% positives in sample<br>lift=1.13\", \"model selected 95.89% of all positives in first 85.0% sampled<br>precision=41.18% positives in sample<br>lift=1.13\", \"model selected 95.89% of all positives in first 85.5% sampled<br>precision=40.94% positives in sample<br>lift=1.12\", \"model selected 95.89% of all positives in first 86.0% sampled<br>precision=40.7% positives in sample<br>lift=1.12\", \"model selected 95.89% of all positives in first 86.5% sampled<br>precision=40.46% positives in sample<br>lift=1.11\", \"model selected 95.89% of all positives in first 87.0% sampled<br>precision=40.23% positives in sample<br>lift=1.1\", \"model selected 95.89% of all positives in first 87.5% sampled<br>precision=40.0% positives in sample<br>lift=1.1\", \"model selected 95.89% of all positives in first 88.0% sampled<br>precision=39.77% positives in sample<br>lift=1.09\", \"model selected 95.89% of all positives in first 88.5% sampled<br>precision=39.55% positives in sample<br>lift=1.08\", \"model selected 95.89% of all positives in first 89.0% sampled<br>precision=39.33% positives in sample<br>lift=1.08\", \"model selected 97.26% of all positives in first 89.5% sampled<br>precision=39.66% positives in sample<br>lift=1.09\", \"model selected 97.26% of all positives in first 90.0% sampled<br>precision=39.44% positives in sample<br>lift=1.08\", \"model selected 97.26% of all positives in first 90.5% sampled<br>precision=39.23% positives in sample<br>lift=1.07\", \"model selected 97.26% of all positives in first 91.0% sampled<br>precision=39.01% positives in sample<br>lift=1.07\", \"model selected 97.26% of all positives in first 91.5% sampled<br>precision=38.8% positives in sample<br>lift=1.06\", \"model selected 97.26% of all positives in first 92.0% sampled<br>precision=38.59% positives in sample<br>lift=1.06\", \"model selected 97.26% of all positives in first 92.5% sampled<br>precision=38.38% positives in sample<br>lift=1.05\", \"model selected 98.63% of all positives in first 93.0% sampled<br>precision=38.71% positives in sample<br>lift=1.06\", \"model selected 98.63% of all positives in first 93.5% sampled<br>precision=38.5% positives in sample<br>lift=1.05\", \"model selected 98.63% of all positives in first 94.0% sampled<br>precision=38.3% positives in sample<br>lift=1.05\", \"model selected 98.63% of all positives in first 94.5% sampled<br>precision=38.1% positives in sample<br>lift=1.04\", \"model selected 98.63% of all positives in first 95.0% sampled<br>precision=37.89% positives in sample<br>lift=1.04\", \"model selected 100.0% of all positives in first 95.5% sampled<br>precision=38.22% positives in sample<br>lift=1.05\", \"model selected 100.0% of all positives in first 96.0% sampled<br>precision=38.02% positives in sample<br>lift=1.04\", \"model selected 100.0% of all positives in first 96.5% sampled<br>precision=37.82% positives in sample<br>lift=1.04\", \"model selected 100.0% of all positives in first 97.0% sampled<br>precision=37.63% positives in sample<br>lift=1.03\", \"model selected 100.0% of all positives in first 97.5% sampled<br>precision=37.44% positives in sample<br>lift=1.03\", \"model selected 100.0% of all positives in first 98.0% sampled<br>precision=37.24% positives in sample<br>lift=1.02\", \"model selected 100.0% of all positives in first 98.5% sampled<br>precision=37.06% positives in sample<br>lift=1.02\", \"model selected 100.0% of all positives in first 99.0% sampled<br>precision=36.87% positives in sample<br>lift=1.01\", \"model selected 100.0% of all positives in first 99.5% sampled<br>precision=36.68% positives in sample<br>lift=1.01\", \"model selected 100.0% of all positives in first 100.0% sampled<br>precision=36.5% positives in sample<br>lift=1.0\"], \"type\": \"scatter\", \"x\": [0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 6.0, 6.5, 7.0, 7.5, 8.0, 8.5, 9.0, 9.5, 10.0, 10.5, 11.0, 11.5, 12.0, 12.5, 13.0, 13.5, 14.0, 14.5, 15.0, 15.5, 16.0, 16.5, 17.0, 17.5, 18.0, 18.5, 19.0, 19.5, 20.0, 20.5, 21.0, 21.5, 22.0, 22.5, 23.0, 23.5, 24.0, 24.5, 25.0, 25.5, 26.0, 26.5, 27.0, 27.5, 28.0, 28.5, 29.0, 29.5, 30.0, 30.5, 31.0, 31.5, 32.0, 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99.0, 99.5, 100.0]}],                        {\"annotations\": [{\"text\": \"cutoff=0.75\", \"x\": 15.5, \"y\": 5, \"yref\": \"y\"}, {\"align\": \"right\", \"showarrow\": false, \"text\": \"Model: 31 out 31 (100.0%)\", \"x\": 0.5, \"xanchor\": \"left\", \"xref\": \"paper\", \"y\": 0.4, \"yanchor\": \"top\", \"yref\": \"paper\"}, {\"align\": \"right\", \"showarrow\": false, \"text\": \"Random: 11 out 31 (36.5%)\", \"x\": 0.5, \"xanchor\": \"left\", \"xref\": \"paper\", \"y\": 0.33, \"yanchor\": \"top\", \"yref\": \"paper\"}, {\"align\": \"right\", \"showarrow\": false, \"text\": \"Lift: 2.7\", \"x\": 0.5, \"xanchor\": \"left\", \"xref\": \"paper\", \"y\": 0.26, \"yanchor\": \"top\", \"yref\": \"paper\"}], \"hovermode\": \"x\", \"legend\": {\"x\": 0.1, \"xanchor\": \"center\", \"y\": 0.9}, \"plot_bgcolor\": \"#fff\", \"shapes\": [{\"type\": \"line\", \"x0\": 15.5, \"x1\": 15.5, \"xref\": \"x\", \"y0\": 0, \"y1\": 100.0, \"yref\": \"y\"}], \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"font\": {\"size\": 18}, \"text\": \"Lift curve\", \"x\": 0.5}, \"xaxis\": {\"spikemode\": \"across\", \"title\": {\"text\": \"Percentage sampled\"}}, \"yaxis\": {\"title\": {\"text\": \"Percentage of positive\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "<div>                            <div id=\"44fe4d80-ecb6-45ce-9693-5b7b031f23d3\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"44fe4d80-ecb6-45ce-9693-5b7b031f23d3\")) {                    Plotly.newPlot(                        \"44fe4d80-ecb6-45ce-9693-5b7b031f23d3\",                        [{\"hoverinfo\": \"text\", \"name\": \"perfect\", \"text\": [\"0%, 0%\", \"36.5%, 100%\", \"100, 100%\"], \"type\": \"scatter\", \"x\": [0.0, 36.5, 100], \"y\": [0.0, 100, 100]}, {\"hoverinfo\": \"text\", \"name\": \"model\", \"text\": [\"model selected 1.37% of all positives in first 0.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74\", \"model selected 2.74% of all positives in first 1.00% sampled<br>precision=100.00% 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\"model selected 15.07% of all positives in first 5.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74\", \"model selected 16.44% of all positives in first 6.00% sampled<br>precision=100.00% positives in sample<br>lift=2.74\", \"model selected 17.81% of all positives in first 6.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74\", \"model selected 19.18% of all positives in first 7.00% sampled<br>precision=100.00% positives in sample<br>lift=2.74\", \"model selected 20.55% of all positives in first 7.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74\", \"model selected 21.92% of all positives in first 8.00% sampled<br>precision=100.00% positives in sample<br>lift=2.74\", \"model selected 23.29% of all positives in first 8.50% sampled<br>precision=100.00% positives in sample<br>lift=2.74\", \"model selected 24.66% of all positives in first 9.00% sampled<br>precision=100.00% positives in sample<br>lift=2.74\", \"model selected 26.03% of all 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positives in sample<br>lift=2.66\", \"model selected 46.58% of all positives in first 18.00% sampled<br>precision=94.44% positives in sample<br>lift=2.59\", \"model selected 47.95% of all positives in first 18.50% sampled<br>precision=94.59% positives in sample<br>lift=2.59\", \"model selected 49.32% of all positives in first 19.00% sampled<br>precision=94.74% positives in sample<br>lift=2.60\", \"model selected 50.68% of all positives in first 19.50% sampled<br>precision=94.87% positives in sample<br>lift=2.60\", \"model selected 52.05% of all positives in first 20.00% sampled<br>precision=95.00% positives in sample<br>lift=2.60\", \"model selected 53.42% of all positives in first 20.50% sampled<br>precision=95.12% positives in sample<br>lift=2.61\", \"model selected 54.79% of all positives in first 21.00% sampled<br>precision=95.24% positives in sample<br>lift=2.61\", \"model selected 56.16% of all positives in first 21.50% sampled<br>precision=95.35% positives in sample<br>lift=2.61\", \"model selected 56.16% of all positives in first 22.00% sampled<br>precision=93.18% positives in sample<br>lift=2.55\", \"model selected 56.16% of all positives in first 22.50% sampled<br>precision=91.11% positives in sample<br>lift=2.50\", \"model selected 56.16% of all positives in first 23.00% sampled<br>precision=89.13% positives in sample<br>lift=2.44\", \"model selected 56.16% of all positives in first 23.50% sampled<br>precision=87.23% positives in sample<br>lift=2.39\", \"model selected 57.53% of all positives in first 24.00% sampled<br>precision=87.50% positives in sample<br>lift=2.40\", \"model selected 57.53% of all positives in first 24.50% sampled<br>precision=85.71% positives in sample<br>lift=2.35\", \"model selected 57.53% of all positives in first 25.00% sampled<br>precision=84.00% positives in sample<br>lift=2.30\", \"model selected 57.53% of all positives in first 25.50% sampled<br>precision=82.35% positives in sample<br>lift=2.26\", \"model 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sampled<br>precision=76.47% positives in sample<br>lift=2.10\", \"model selected 71.23% of all positives in first 34.50% sampled<br>precision=75.36% positives in sample<br>lift=2.06\", \"model selected 72.60% of all positives in first 35.00% sampled<br>precision=75.71% positives in sample<br>lift=2.07\", \"model selected 72.60% of all positives in first 35.50% sampled<br>precision=74.65% positives in sample<br>lift=2.05\", \"model selected 73.97% of all positives in first 36.00% sampled<br>precision=75.00% positives in sample<br>lift=2.05\", \"model selected 73.97% of all positives in first 36.50% sampled<br>precision=73.97% positives in sample<br>lift=2.03\", \"model selected 73.97% of all positives in first 37.00% sampled<br>precision=72.97% positives in sample<br>lift=2.00\", \"model selected 75.34% of all positives in first 37.50% sampled<br>precision=73.33% positives in sample<br>lift=2.01\", \"model selected 75.34% of all positives in first 38.00% sampled<br>precision=72.37% positives in sample<br>lift=1.98\", \"model selected 75.34% of all positives in first 38.50% sampled<br>precision=71.43% positives in sample<br>lift=1.96\", \"model selected 75.34% of all positives in first 39.00% sampled<br>precision=70.51% positives in sample<br>lift=1.93\", \"model selected 75.34% of all positives in first 39.50% sampled<br>precision=69.62% positives in sample<br>lift=1.91\", \"model selected 76.71% of all positives in first 40.00% sampled<br>precision=70.00% positives in sample<br>lift=1.92\", \"model selected 76.71% of all positives in first 40.50% sampled<br>precision=69.14% positives in sample<br>lift=1.89\", \"model selected 78.08% of all positives in first 41.00% sampled<br>precision=69.51% positives in sample<br>lift=1.90\", \"model selected 78.08% of all positives in first 41.50% sampled<br>precision=68.67% positives in sample<br>lift=1.88\", \"model selected 78.08% of all positives in first 42.00% sampled<br>precision=67.86% positives in sample<br>lift=1.86\", \"model selected 79.45% of all positives in first 42.50% sampled<br>precision=68.24% positives in sample<br>lift=1.87\", \"model selected 80.82% of all positives in first 43.00% sampled<br>precision=68.60% positives in sample<br>lift=1.88\", \"model selected 80.82% of all positives in first 43.50% sampled<br>precision=67.82% positives in sample<br>lift=1.86\", \"model selected 80.82% of all positives in first 44.00% sampled<br>precision=67.05% positives in sample<br>lift=1.84\", \"model selected 82.19% of all positives in first 44.50% sampled<br>precision=67.42% positives in sample<br>lift=1.85\", \"model selected 83.56% of all positives in first 45.00% sampled<br>precision=67.78% positives in sample<br>lift=1.86\", \"model selected 84.93% of all positives in first 45.50% sampled<br>precision=68.13% positives in sample<br>lift=1.87\", \"model selected 84.93% of all positives in first 46.00% sampled<br>precision=67.39% positives in sample<br>lift=1.85\", \"model selected 84.93% of all positives in first 46.50% sampled<br>precision=66.67% positives in sample<br>lift=1.83\", \"model selected 84.93% of all positives in first 47.00% sampled<br>precision=65.96% positives in sample<br>lift=1.81\", \"model selected 86.30% of all positives in first 47.50% sampled<br>precision=66.32% positives in sample<br>lift=1.82\", \"model selected 87.67% of all positives in first 48.00% sampled<br>precision=66.67% positives in sample<br>lift=1.83\", \"model selected 87.67% of all positives in first 48.50% sampled<br>precision=65.98% positives in sample<br>lift=1.81\", \"model selected 89.04% of all positives in first 49.00% sampled<br>precision=66.33% positives in sample<br>lift=1.82\", \"model selected 89.04% of all positives in first 49.50% sampled<br>precision=65.66% positives in sample<br>lift=1.80\", \"model selected 90.41% of all positives in first 50.00% sampled<br>precision=66.00% positives in sample<br>lift=1.81\", \"model selected 90.41% of all positives in first 50.50% sampled<br>precision=65.35% positives in sample<br>lift=1.79\", \"model selected 91.78% of all positives in first 51.00% sampled<br>precision=65.69% positives in sample<br>lift=1.80\", \"model selected 91.78% of all positives in first 51.50% sampled<br>precision=65.05% positives in sample<br>lift=1.78\", \"model selected 91.78% of all positives in first 52.00% sampled<br>precision=64.42% positives in sample<br>lift=1.77\", \"model selected 91.78% of all positives in first 52.50% sampled<br>precision=63.81% positives in sample<br>lift=1.75\", \"model selected 93.15% of all positives in first 53.00% sampled<br>precision=64.15% positives in sample<br>lift=1.76\", \"model selected 93.15% of all positives in first 53.50% sampled<br>precision=63.55% positives in sample<br>lift=1.74\", \"model selected 93.15% of all positives in first 54.00% sampled<br>precision=62.96% positives in sample<br>lift=1.73\", \"model selected 93.15% of all positives in first 54.50% sampled<br>precision=62.39% positives in sample<br>lift=1.71\", \"model selected 93.15% of all positives in first 55.00% sampled<br>precision=61.82% positives in sample<br>lift=1.69\", \"model selected 93.15% of all positives in first 55.50% sampled<br>precision=61.26% positives in sample<br>lift=1.68\", \"model selected 93.15% of all positives in first 56.00% sampled<br>precision=60.71% positives in sample<br>lift=1.66\", \"model selected 93.15% of all positives in first 56.50% sampled<br>precision=60.18% positives in sample<br>lift=1.65\", \"model selected 93.15% of all positives in first 57.00% sampled<br>precision=59.65% positives in sample<br>lift=1.63\", \"model selected 93.15% of all positives in first 57.50% sampled<br>precision=59.13% positives in sample<br>lift=1.62\", \"model selected 93.15% of all positives in first 58.00% sampled<br>precision=58.62% positives in sample<br>lift=1.61\", \"model selected 93.15% of all positives in first 58.50% sampled<br>precision=58.12% positives in sample<br>lift=1.59\", \"model selected 93.15% of all positives in first 59.00% sampled<br>precision=57.63% positives in sample<br>lift=1.58\", \"model selected 94.52% of all positives in first 59.50% sampled<br>precision=57.98% positives in sample<br>lift=1.59\", \"model selected 94.52% of all positives in first 60.00% sampled<br>precision=57.50% positives in sample<br>lift=1.58\", \"model selected 94.52% of all positives in first 60.50% sampled<br>precision=57.02% positives in sample<br>lift=1.56\", \"model selected 94.52% of all positives in first 61.00% sampled<br>precision=56.56% positives in sample<br>lift=1.55\", \"model selected 94.52% of all positives in first 61.50% sampled<br>precision=56.10% positives in sample<br>lift=1.54\", \"model selected 94.52% of all positives in first 62.00% sampled<br>precision=55.65% positives in sample<br>lift=1.52\", \"model selected 94.52% of all positives in first 62.50% sampled<br>precision=55.20% positives in 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sampled<br>precision=37.70% positives in sample<br>lift=1.03\", \"model selected 98.63% of all positives in first 96.00% sampled<br>precision=37.50% positives in sample<br>lift=1.03\", \"model selected 98.63% of all positives in first 96.50% sampled<br>precision=37.31% positives in sample<br>lift=1.02\", \"model selected 98.63% of all positives in first 97.00% sampled<br>precision=37.11% positives in sample<br>lift=1.02\", \"model selected 98.63% of all positives in first 97.50% sampled<br>precision=36.92% positives in sample<br>lift=1.01\", \"model selected 100.00% of all positives in first 98.00% sampled<br>precision=37.24% positives in sample<br>lift=1.02\", \"model selected 100.00% of all positives in first 98.50% sampled<br>precision=37.06% positives in sample<br>lift=1.02\", \"model selected 100.00% of all positives in first 99.00% sampled<br>precision=36.87% positives in sample<br>lift=1.01\", \"model selected 100.00% of all positives in first 99.50% sampled<br>precision=36.68% positives in sample<br>lift=1.01\", \"model selected 100.00% of all positives in first 100.00% sampled<br>precision=36.50% positives in sample<br>lift=1.00\"], \"type\": \"scatter\", \"x\": [0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 6.0, 6.5, 7.0, 7.5, 8.0, 8.5, 9.0, 9.5, 10.0, 10.5, 11.0, 11.5, 12.0, 12.5, 13.0, 13.5, 14.0, 14.5, 15.0, 15.5, 16.0, 16.5, 17.0, 17.5, 18.0, 18.5, 19.0, 19.5, 20.0, 20.5, 21.0, 21.5, 22.0, 22.5, 23.0, 23.5, 24.0, 24.5, 25.0, 25.5, 26.0, 26.5, 27.0, 27.5, 28.0, 28.5, 29.0, 29.5, 30.0, 30.5, 31.0, 31.5, 32.0, 32.5, 33.0, 33.5, 34.0, 34.5, 35.0, 35.5, 36.0, 36.5, 37.0, 37.5, 38.0, 38.5, 39.0, 39.5, 40.0, 40.5, 41.0, 41.5, 42.0, 42.5, 43.0, 43.5, 44.0, 44.5, 45.0, 45.5, 46.0, 46.5, 47.0, 47.5, 48.0, 48.5, 49.0, 49.5, 50.0, 50.5, 51.0, 51.5, 52.0, 52.5, 53.0, 53.5, 54.0, 54.5, 55.0, 55.5, 56.0, 56.5, 57.0, 57.5, 58.0, 58.5, 59.0, 59.5, 60.0, 60.5, 61.0, 61.5, 62.0, 62.5, 63.0, 63.5, 64.0, 64.5, 65.0, 65.5, 66.0, 66.5, 67.0, 67.5, 68.0, 68.5, 69.0, 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10.50% of all positives in first 10.50% sampled<br>precision=36.50% positives in sample\", \"random selected 11.00% of all positives in first 11.00% sampled<br>precision=36.50% positives in sample\", \"random selected 11.50% of all positives in first 11.50% sampled<br>precision=36.50% positives in sample\", \"random selected 12.00% of all positives in first 12.00% sampled<br>precision=36.50% positives in sample\", \"random selected 12.50% of all positives in first 12.50% sampled<br>precision=36.50% positives in sample\", \"random selected 13.00% of all positives in first 13.00% sampled<br>precision=36.50% positives in sample\", \"random selected 13.50% of all positives in first 13.50% sampled<br>precision=36.50% positives in sample\", \"random selected 14.00% of all positives in first 14.00% sampled<br>precision=36.50% positives in sample\", \"random selected 14.50% of all positives in first 14.50% sampled<br>precision=36.50% positives in sample\", \"random selected 15.00% of all 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19.50% sampled<br>precision=36.50% positives in sample\", \"random selected 20.00% of all positives in first 20.00% sampled<br>precision=36.50% positives in sample\", \"random selected 20.50% of all positives in first 20.50% sampled<br>precision=36.50% positives in sample\", \"random selected 21.00% of all positives in first 21.00% sampled<br>precision=36.50% positives in sample\", \"random selected 21.50% of all positives in first 21.50% sampled<br>precision=36.50% positives in sample\", \"random selected 22.00% of all positives in first 22.00% sampled<br>precision=36.50% positives in sample\", \"random selected 22.50% of all positives in first 22.50% sampled<br>precision=36.50% positives in sample\", \"random selected 23.00% of all positives in first 23.00% sampled<br>precision=36.50% positives in sample\", \"random selected 23.50% of all positives in first 23.50% sampled<br>precision=36.50% positives in sample\", \"random selected 24.00% of all positives in first 24.00% sampled<br>precision=36.50% positives in sample\", \"random selected 24.50% of all positives in first 24.50% sampled<br>precision=36.50% positives in sample\", \"random selected 25.00% of all positives in first 25.00% sampled<br>precision=36.50% positives in sample\", \"random selected 25.50% of all positives in first 25.50% sampled<br>precision=36.50% positives in sample\", \"random selected 26.00% of all positives in first 26.00% sampled<br>precision=36.50% positives in sample\", \"random selected 26.50% of all positives in first 26.50% sampled<br>precision=36.50% positives in sample\", \"random selected 27.00% of all positives in first 27.00% sampled<br>precision=36.50% positives in sample\", \"random selected 27.50% of all positives in first 27.50% sampled<br>precision=36.50% positives in sample\", \"random selected 28.00% of all positives in first 28.00% sampled<br>precision=36.50% positives in sample\", \"random selected 28.50% of all positives in first 28.50% sampled<br>precision=36.50% positives in sample\", \"random selected 29.00% of all positives in first 29.00% sampled<br>precision=36.50% positives in sample\", \"random selected 29.50% of all positives in first 29.50% sampled<br>precision=36.50% positives in sample\", \"random selected 30.00% of all positives in first 30.00% sampled<br>precision=36.50% positives in sample\", \"random selected 30.50% of all positives in first 30.50% sampled<br>precision=36.50% positives in sample\", \"random selected 31.00% of all positives in first 31.00% sampled<br>precision=36.50% positives in sample\", \"random selected 31.50% of all positives in first 31.50% sampled<br>precision=36.50% positives in sample\", \"random selected 32.00% of all positives in first 32.00% sampled<br>precision=36.50% positives in sample\", \"random selected 32.50% of all positives in first 32.50% sampled<br>precision=36.50% positives in sample\", \"random selected 33.00% of all positives in first 33.00% sampled<br>precision=36.50% positives in sample\", \"random selected 33.50% of all positives in first 33.50% sampled<br>precision=36.50% positives in sample\", \"random selected 34.00% of all positives in first 34.00% sampled<br>precision=36.50% positives in sample\", \"random selected 34.50% of all positives in first 34.50% sampled<br>precision=36.50% positives in sample\", \"random selected 35.00% of all positives in first 35.00% sampled<br>precision=36.50% positives in sample\", \"random selected 35.50% of all positives in first 35.50% sampled<br>precision=36.50% positives in sample\", \"random selected 36.00% of all positives in first 36.00% sampled<br>precision=36.50% positives in sample\", \"random selected 36.50% of all positives in first 36.50% sampled<br>precision=36.50% positives in sample\", \"random selected 37.00% of all positives in first 37.00% sampled<br>precision=36.50% positives in sample\", \"random selected 37.50% of all positives in first 37.50% 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        "                            \n",
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@@ -63088,11 +46768,11 @@
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   {
    "cell_type": "code",
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+   "execution_count": 44,
    "metadata": {
     "ExecuteTime": {
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-     "start_time": "2020-10-12T08:42:31.617240Z"
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    },
    "outputs": [
@@ -63107,9 +46787,9 @@
          "hoverinfo": "text",
          "name": "Not survived",
          "text": [
-          "<b>115</b><br>(83.9%)",
-          "<b>12</b><br>(19.0%)",
-          "<b>127</b><br>(63.5%)"
+          "<b>114</b><br>(83.82%)",
+          "<b>13</b><br>(20.31%)",
+          "<b>127</b><br>(63.50%)"
          ],
          "textposition": "auto",
          "type": "bar",
@@ -63119,8 +46799,8 @@
           "all"
          ],
          "y": [
-          83.94160583941606,
-          19.047619047619047,
+          83.82352941176471,
+          20.3125,
           63.5
          ]
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@@ -63128,9 +46808,9 @@
          "hoverinfo": "text",
          "name": "Survived",
          "text": [
-          "<b>22</b><br>(16.1%)",
-          "<b>51</b><br>(81.0%)",
-          "<b>73</b><br>(36.5%)"
+          "<b>22</b><br>(16.18%)",
+          "<b>51</b><br>(79.69%)",
+          "<b>73</b><br>(36.50%)"
          ],
          "textposition": "auto",
          "type": "bar",
@@ -63140,8 +46820,8 @@
           "all"
          ],
          "y": [
-          16.05839416058394,
-          80.95238095238095,
+          16.176470588235293,
+          79.6875,
           36.5
          ]
         }
@@ -63169,9 +46849,9 @@
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       },
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+       "<div>                            <div id=\"97e52f0c-7c4b-4dde-a254-c9e31a339bc3\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"97e52f0c-7c4b-4dde-a254-c9e31a339bc3\")) {                    Plotly.newPlot(                        \"97e52f0c-7c4b-4dde-a254-c9e31a339bc3\",                        [{\"hoverinfo\": \"text\", \"name\": \"Not survived\", \"text\": [\"<b>114</b><br>(83.82%)\", \"<b>13</b><br>(20.31%)\", \"<b>127</b><br>(63.50%)\"], \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [\"below cutoff\", \"above cutoff\", \"all\"], \"y\": [83.82352941176471, 20.3125, 63.5]}, {\"hoverinfo\": \"text\", \"name\": \"Survived\", \"text\": [\"<b>22</b><br>(16.18%)\", \"<b>51</b><br>(79.69%)\", \"<b>73</b><br>(36.50%)\"], \"textposition\": \"auto\", \"type\": \"bar\", \"x\": [\"below cutoff\", \"above cutoff\", \"all\"], \"y\": [16.176470588235293, 79.6875, 36.5]}],                        {\"barmode\": \"stack\", \"legend\": {\"orientation\": \"h\", \"x\": 0.5, \"xanchor\": \"center\", \"y\": -0.2}, \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Percentage above and below cutoff\"}},                        {\"responsive\": true}                    ).then(function(){\n",
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@@ -63206,11 +46886,11 @@
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-          "<b>0</b><br>(0.0%)",
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-          "<b>31</b><br>(100.0%)",
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   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 47,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:42:35.828625Z",
-     "start_time": "2020-10-12T08:42:35.804806Z"
+     "end_time": "2021-01-20T16:01:02.862243Z",
+     "start_time": "2021-01-20T16:01:02.839955Z"
     }
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    "outputs": [
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        "                            \n",
-       "var gd = document.getElementById('d0713f00-f9a9-458b-81da-b7b7bd353690');\n",
+       "var gd = document.getElementById('7d6f3f4c-f1b5-4931-b3ff-256ad46d483d');\n",
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@@ -64426,11 +48130,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 48,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:46:38.205000Z",
-     "start_time": "2020-10-12T08:46:38.123799Z"
+     "end_time": "2021-01-20T16:01:08.619730Z",
+     "start_time": "2021-01-20T16:01:08.536379Z"
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    "outputs": [
@@ -64440,7 +48144,7 @@
        "RandomForestRegressor(max_depth=5, n_estimators=50)"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -64459,11 +48163,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 49,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:46:39.272636Z",
-     "start_time": "2020-10-12T08:46:39.264559Z"
+     "end_time": "2021-01-20T16:01:09.557390Z",
+     "start_time": "2021-01-20T16:01:09.537285Z"
     }
    },
    "outputs": [
@@ -64472,8 +48176,8 @@
      "output_type": "stream",
      "text": [
       "Note: shap=='guess' so guessing for RandomForestRegressor shap='tree'...\n",
-      "Generating self.shap_explainer = shap.TreeExplainer(model)\n",
-      "Changing class type to RandomForestRegressionExplainer...\n"
+      "Changing class type to RandomForestRegressionExplainer...\n",
+      "Generating self.shap_explainer = shap.TreeExplainer(model)\n"
      ]
     }
    ],
@@ -64502,26 +48206,19 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Mean absolute shap importances, grouping onehotencoded:"
+    "### Mean absolute shap importances:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 51,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:46:41.640168Z",
-     "start_time": "2020-10-12T08:46:41.602052Z"
+     "end_time": "2021-01-20T16:01:24.030940Z",
+     "start_time": "2021-01-20T16:01:24.017082Z"
     }
    },
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Calculating shap values...\n"
-     ]
-    },
     {
      "data": {
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           "Gender of passenger",
           "the port where the passenger boarded the Titanic. Either Southampton, Cherbourg or Queenstown",
-          "number of siblings, spouses, parents plus children on board",
+          "The sum of the number of siblings plus the number of spouses on board",
+          "The sum of the number of parents plus the number of children on board",
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+          2.2412610628589236,
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          "y": [
-          "5. Deck",
-          "4. Sex",
-          "3. Embarked",
-          "2. No_of_relatives_on_board",
+          "5. Sex",
+          "4. Embarked",
+          "3. No_of_siblings_plus_spouses_on_board",
+          "2. No_of_parents_plus_children_on_board",
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         "margin": {
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@@ -64591,9 +48288,9 @@
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        "                            \n",
-       "var gd = document.getElementById('f2a3b244-bcc8-4a25-884a-aa18eba2d8d0');\n",
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@@ -64623,23 +48320,23 @@
     }
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    "source": [
-    "explainer.plot_importances(kind='shap', topx=5, cats=True, round=3)"
+    "explainer.plot_importances(kind='shap', topx=5, round=3)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Permutation importances, not grouping categorical vars, showing top 10"
+    "### Permutation importances,  showing top 4"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 52,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:46:47.641080Z",
-     "start_time": "2020-10-12T08:46:47.457550Z"
+     "end_time": "2021-01-20T16:01:43.256861Z",
+     "start_time": "2021-01-20T16:01:43.151020Z"
     }
    },
    "outputs": [
@@ -64662,45 +48359,27 @@
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-          "Gender of passenger",
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-          "Age of the passenger",
-          "number of siblings, spouses, parents plus children on board",
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+          0.10143254178255212,
+          0.10959786515502223,
+          0.26710972411289924,
+          1.063501802140896
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          "y": [
-          "10. Age",
-          "9. Survived",
-          "8. Sex_nan",
-          "7. Deck_A",
-          "6. Sex_male",
-          "5. No_of_siblings_plus_spouses_on_board",
-          "4. Sex_female",
-          "3. No_of_parents_plus_children_on_board",
-          "2. No_of_relatives_on_board",
+          "4. Deck",
+          "3. No_of_siblings_plus_spouses_on_board",
+          "2. No_of_parents_plus_children_on_board",
           "1. PassengerClass"
          ]
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        ],
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+        "height": 280,
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@@ -64734,9 +48413,9 @@
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@@ -64766,7 +48445,7 @@
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    "source": [
-    "explainer.plot_importances(kind='permutation', topx=10, cats=False, round=3)"
+    "explainer.plot_importances(kind='permutation', topx=4, round=3)"
    ]
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@@ -64778,11 +48457,11 @@
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+   "execution_count": 53,
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     "ExecuteTime": {
-     "end_time": "2020-10-12T08:46:51.292129Z",
-     "start_time": "2020-10-12T08:46:51.123269Z"
+     "end_time": "2021-01-20T16:01:52.823858Z",
+     "start_time": "2021-01-20T16:01:52.676240Z"
     }
    },
    "outputs": [
@@ -64911,23356 +48590,726 @@
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-           "title": {
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-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>PassengerClass=1<br>shap=56.782",
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-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>PassengerClass=3<br>shap=-21.443",
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-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>No_of_relatives_on_board=2<br>shap=8.648",
-          "index=Bateman, Rev. Robert James<br>No_of_relatives_on_board=0<br>shap=-8.301",
-          "index=Meo, Mr. Alfonzo<br>No_of_relatives_on_board=0<br>shap=-5.66",
-          "index=Cribb, Mr. John Hatfield<br>No_of_relatives_on_board=1<br>shap=-0.276",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>No_of_relatives_on_board=1<br>shap=-1.452",
-          "index=Van der hoef, Mr. Wyckoff<br>No_of_relatives_on_board=0<br>shap=-9.993",
-          "index=Sivola, Mr. Antti Wilhelm<br>No_of_relatives_on_board=0<br>shap=-5.506",
-          "index=Klasen, Mr. Klas Albin<br>No_of_relatives_on_board=2<br>shap=5.674",
-          "index=Rood, Mr. Hugh Roscoe<br>No_of_relatives_on_board=0<br>shap=-10.428",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>No_of_relatives_on_board=1<br>shap=-1.268",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>No_of_relatives_on_board=0<br>shap=-5.485",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>No_of_relatives_on_board=0<br>shap=-5.483",
-          "index=Backstrom, Mr. Karl Alfred<br>No_of_relatives_on_board=1<br>shap=-0.392",
-          "index=Blank, Mr. Henry<br>No_of_relatives_on_board=0<br>shap=-8.08",
-          "index=Ali, Mr. Ahmed<br>No_of_relatives_on_board=0<br>shap=-5.502",
-          "index=Green, Mr. George Henry<br>No_of_relatives_on_board=0<br>shap=-5.663",
-          "index=Nenkoff, Mr. Christo<br>No_of_relatives_on_board=0<br>shap=-5.643",
-          "index=Asplund, Miss. Lillian Gertrud<br>No_of_relatives_on_board=6<br>shap=29.077",
-          "index=Harknett, Miss. Alice Phoebe<br>No_of_relatives_on_board=0<br>shap=-5.388",
-          "index=Hunt, Mr. George Henry<br>No_of_relatives_on_board=0<br>shap=-8.124",
-          "index=Reed, Mr. James George<br>No_of_relatives_on_board=0<br>shap=-5.643",
-          "index=Stead, Mr. William Thomas<br>No_of_relatives_on_board=0<br>shap=-10.746",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>No_of_relatives_on_board=0<br>shap=-6.129",
-          "index=Parrish, Mrs. (Lutie Davis)<br>No_of_relatives_on_board=1<br>shap=1.594",
-          "index=Smith, Mr. Thomas<br>No_of_relatives_on_board=0<br>shap=-5.64",
-          "index=Asplund, Master. Edvin Rojj Felix<br>No_of_relatives_on_board=6<br>shap=29.396",
-          "index=Healy, Miss. Hanora \"Nora\"<br>No_of_relatives_on_board=0<br>shap=-5.029",
-          "index=Andrews, Miss. Kornelia Theodosia<br>No_of_relatives_on_board=1<br>shap=-2.93",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_relatives_on_board=2<br>shap=4.369",
-          "index=Smith, Mr. Richard William<br>No_of_relatives_on_board=0<br>shap=-10.428",
-          "index=Connolly, Miss. Kate<br>No_of_relatives_on_board=0<br>shap=-4.872",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_relatives_on_board=1<br>shap=-1.453",
-          "index=Levy, Mr. Rene Jacques<br>No_of_relatives_on_board=0<br>shap=-7.818",
-          "index=Lewy, Mr. Ervin G<br>No_of_relatives_on_board=0<br>shap=-9.003",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_relatives_on_board=0<br>shap=-5.643",
-          "index=Sage, Mr. George John Jr<br>No_of_relatives_on_board=10<br>shap=57.667",
-          "index=Nysveen, Mr. Johan Hansen<br>No_of_relatives_on_board=0<br>shap=-5.66",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_relatives_on_board=1<br>shap=-2.65",
-          "index=Denkoff, Mr. Mitto<br>No_of_relatives_on_board=0<br>shap=-5.643",
-          "index=Burns, Miss. Elizabeth Margaret<br>No_of_relatives_on_board=0<br>shap=-5.843",
-          "index=Dimic, Mr. Jovan<br>No_of_relatives_on_board=0<br>shap=-5.507",
-          "index=del Carlo, Mr. Sebastiano<br>No_of_relatives_on_board=1<br>shap=0.79",
-          "index=Beavan, Mr. William Thomas<br>No_of_relatives_on_board=0<br>shap=-5.506",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_relatives_on_board=1<br>shap=-2.162",
-          "index=Widener, Mr. Harry Elkins<br>No_of_relatives_on_board=2<br>shap=3.313",
-          "index=Gustafsson, Mr. Karl Gideon<br>No_of_relatives_on_board=0<br>shap=-5.506",
-          "index=Plotcharsky, Mr. Vasil<br>No_of_relatives_on_board=0<br>shap=-5.643",
-          "index=Goodwin, Master. Sidney Leonard<br>No_of_relatives_on_board=7<br>shap=45.231",
-          "index=Sadlier, Mr. Matthew<br>No_of_relatives_on_board=0<br>shap=-5.64",
-          "index=Gustafsson, Mr. Johan Birger<br>No_of_relatives_on_board=2<br>shap=7.274",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_relatives_on_board=2<br>shap=4.855",
-          "index=Niskanen, Mr. Juha<br>No_of_relatives_on_board=0<br>shap=-4.852",
-          "index=Minahan, Miss. Daisy E<br>No_of_relatives_on_board=1<br>shap=-2.547",
-          "index=Matthews, Mr. William John<br>No_of_relatives_on_board=0<br>shap=-8.077",
-          "index=Charters, Mr. David<br>No_of_relatives_on_board=0<br>shap=-5.456",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_relatives_on_board=0<br>shap=-7.533",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_relatives_on_board=2<br>shap=8.116",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>No_of_relatives_on_board=0<br>shap=-5.129",
-          "index=Peuchen, Major. Arthur Godfrey<br>No_of_relatives_on_board=0<br>shap=-10.329",
-          "index=Anderson, Mr. Harry<br>No_of_relatives_on_board=0<br>shap=-10.353",
-          "index=Milling, Mr. Jacob Christian<br>No_of_relatives_on_board=0<br>shap=-8.292",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_relatives_on_board=3<br>shap=10.435",
-          "index=Karlsson, Mr. Nils August<br>No_of_relatives_on_board=0<br>shap=-5.508",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_relatives_on_board=0<br>shap=-8.523",
-          "index=Bishop, Mr. Dickinson H<br>No_of_relatives_on_board=1<br>shap=0.74",
-          "index=Windelov, Mr. Einar<br>No_of_relatives_on_board=0<br>shap=-5.506",
-          "index=Shellard, Mr. Frederick William<br>No_of_relatives_on_board=0<br>shap=-5.643",
-          "index=Svensson, Mr. Olof<br>No_of_relatives_on_board=0<br>shap=-5.502",
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-          "index=Penasco y Castellana, Mr. Victor de Satode<br>No_of_relatives_on_board=1<br>shap=0.663",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_relatives_on_board=0<br>shap=-10.427",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_relatives_on_board=1<br>shap=0.297",
-          "index=Kassem, Mr. Fared<br>No_of_relatives_on_board=0<br>shap=-5.49",
-          "index=Cacic, Miss. Marija<br>No_of_relatives_on_board=0<br>shap=-5.236",
-          "index=Hart, Miss. Eva Miriam<br>No_of_relatives_on_board=2<br>shap=7.425",
-          "index=Butt, Major. Archibald Willingham<br>No_of_relatives_on_board=0<br>shap=-9.768",
-          "index=Beane, Mr. Edward<br>No_of_relatives_on_board=1<br>shap=0.52",
-          "index=Goldsmith, Mr. Frank John<br>No_of_relatives_on_board=2<br>shap=5.664",
-          "index=Ohman, Miss. Velin<br>No_of_relatives_on_board=0<br>shap=-4.877",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_relatives_on_board=2<br>shap=1.937",
-          "index=Morrow, Mr. Thomas Rowan<br>No_of_relatives_on_board=0<br>shap=-5.64",
-          "index=Harris, Mr. George<br>No_of_relatives_on_board=0<br>shap=-8.041",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_relatives_on_board=2<br>shap=6.057",
-          "index=Patchett, Mr. George<br>No_of_relatives_on_board=0<br>shap=-5.506",
-          "index=Ross, Mr. John Hugo<br>No_of_relatives_on_board=0<br>shap=-8.472",
-          "index=Murdlin, Mr. Joseph<br>No_of_relatives_on_board=0<br>shap=-5.643",
-          "index=Bourke, Miss. Mary<br>No_of_relatives_on_board=2<br>shap=5.323",
-          "index=Boulos, Mr. Hanna<br>No_of_relatives_on_board=0<br>shap=-5.49",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_relatives_on_board=1<br>shap=-0.301",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_relatives_on_board=0<br>shap=-7.68",
-          "index=Lindell, Mr. Edvard Bengtsson<br>No_of_relatives_on_board=1<br>shap=-0.367",
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-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_relatives_on_board=1<br>shap=-0.839",
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-          "index=Bostandyeff, Mr. Guentcho<br>No_of_relatives_on_board=0<br>shap=-5.422",
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-          "index=Vande Walle, Mr. Nestor Cyriel<br>Embarked=Southampton<br>shap=-1.059",
-          "index=Backstrom, Mr. Karl Alfred<br>Embarked=Southampton<br>shap=-1.062",
-          "index=Ali, Mr. Ahmed<br>Embarked=Southampton<br>shap=-1.081",
-          "index=Green, Mr. George Henry<br>Embarked=Southampton<br>shap=-1.052",
-          "index=Nenkoff, Mr. Christo<br>Embarked=Southampton<br>shap=-0.926",
-          "index=Asplund, Miss. Lillian Gertrud<br>Embarked=Southampton<br>shap=-0.488",
-          "index=Harknett, Miss. Alice Phoebe<br>Embarked=Southampton<br>shap=-0.75",
-          "index=Hunt, Mr. George Henry<br>Embarked=Southampton<br>shap=-1.164",
-          "index=Reed, Mr. James George<br>Embarked=Southampton<br>shap=-0.926",
-          "index=Stead, Mr. William Thomas<br>Embarked=Southampton<br>shap=-4.258",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Embarked=Southampton<br>shap=-0.825",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Embarked=Southampton<br>shap=-0.569",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Embarked=Southampton<br>shap=-4.859",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Embarked=Southampton<br>shap=-1.35",
-          "index=Smith, Mr. Richard William<br>Embarked=Southampton<br>shap=-5.355",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Embarked=Southampton<br>shap=-0.926",
-          "index=Sage, Mr. George John Jr<br>Embarked=Southampton<br>shap=-0.573",
-          "index=Nysveen, Mr. Johan Hansen<br>Embarked=Southampton<br>shap=-1.037",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Embarked=Southampton<br>shap=-4.316",
-          "index=Denkoff, Mr. Mitto<br>Embarked=Southampton<br>shap=-0.926",
-          "index=Dimic, Mr. Jovan<br>Embarked=Southampton<br>shap=-1.309",
-          "index=Beavan, Mr. William Thomas<br>Embarked=Southampton<br>shap=-1.079",
-          "index=Gustafsson, Mr. Karl Gideon<br>Embarked=Southampton<br>shap=-1.079",
-          "index=Plotcharsky, Mr. Vasil<br>Embarked=Southampton<br>shap=-0.926",
-          "index=Goodwin, Master. Sidney Leonard<br>Embarked=Southampton<br>shap=-0.565",
-          "index=Gustafsson, Mr. Johan Birger<br>Embarked=Southampton<br>shap=-0.829",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Embarked=Southampton<br>shap=-0.64",
-          "index=Niskanen, Mr. Juha<br>Embarked=Southampton<br>shap=-1.381",
-          "index=Matthews, Mr. William John<br>Embarked=Southampton<br>shap=-1.109",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Embarked=Southampton<br>shap=-0.953",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Embarked=Southampton<br>shap=-0.771",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Embarked=Southampton<br>shap=-0.972",
-          "index=Peuchen, Major. Arthur Godfrey<br>Embarked=Southampton<br>shap=-6.428",
-          "index=Anderson, Mr. Harry<br>Embarked=Southampton<br>shap=-7.02",
-          "index=Milling, Mr. Jacob Christian<br>Embarked=Southampton<br>shap=-1.078",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Embarked=Southampton<br>shap=-0.684",
-          "index=Karlsson, Mr. Nils August<br>Embarked=Southampton<br>shap=-1.079",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Embarked=Southampton<br>shap=-1.109",
-          "index=Windelov, Mr. Einar<br>Embarked=Southampton<br>shap=-1.079",
-          "index=Shellard, Mr. Frederick William<br>Embarked=Southampton<br>shap=-0.926",
-          "index=Svensson, Mr. Olof<br>Embarked=Southampton<br>shap=-1.081",
-          "index=Laitinen, Miss. Kristina Sofia<br>Embarked=Southampton<br>shap=-1.23",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Embarked=Southampton<br>shap=-7.03",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Embarked=Southampton<br>shap=-1.619",
-          "index=Cacic, Miss. Marija<br>Embarked=Southampton<br>shap=-0.904",
-          "index=Hart, Miss. Eva Miriam<br>Embarked=Southampton<br>shap=-0.674",
-          "index=Butt, Major. Archibald Willingham<br>Embarked=Southampton<br>shap=-13.012",
-          "index=Beane, Mr. Edward<br>Embarked=Southampton<br>shap=-1.121",
-          "index=Goldsmith, Mr. Frank John<br>Embarked=Southampton<br>shap=-0.776",
-          "index=Ohman, Miss. Velin<br>Embarked=Southampton<br>shap=-0.905",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Embarked=Southampton<br>shap=-3.838",
-          "index=Harris, Mr. George<br>Embarked=Southampton<br>shap=-1.183",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Embarked=Southampton<br>shap=-3.038",
-          "index=Patchett, Mr. George<br>Embarked=Southampton<br>shap=-1.079",
-          "index=Murdlin, Mr. Joseph<br>Embarked=Southampton<br>shap=-0.926",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Embarked=Southampton<br>shap=-1.697",
-          "index=Daniel, Mr. Robert Williams<br>Embarked=Southampton<br>shap=-6.822",
-          "index=Shutes, Miss. Elizabeth W<br>Embarked=Southampton<br>shap=-6.323",
-          "index=Jardin, Mr. Jose Neto<br>Embarked=Southampton<br>shap=-0.926",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Embarked=Southampton<br>shap=-0.879",
-          "index=Bostandyeff, Mr. Guentcho<br>Embarked=Southampton<br>shap=-1.059",
-          "index=Lundahl, Mr. Johan Svensson<br>Embarked=Southampton<br>shap=-1.052",
-          "index=Willey, Mr. Edward<br>Embarked=Southampton<br>shap=-0.926",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Embarked=Southampton<br>shap=-0.907",
-          "index=Eitemiller, Mr. George Floyd<br>Embarked=Southampton<br>shap=-1.109",
-          "index=Colley, Mr. Edward Pomeroy<br>Embarked=Southampton<br>shap=-5.145",
-          "index=Coleff, Mr. Peju<br>Embarked=Southampton<br>shap=-1.766",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Embarked=Southampton<br>shap=-0.884",
-          "index=Davidson, Mr. Thornton<br>Embarked=Southampton<br>shap=-13.481",
-          "index=Turja, Miss. Anna Sofia<br>Embarked=Southampton<br>shap=-0.905",
-          "index=Goodwin, Mr. Charles Edward<br>Embarked=Southampton<br>shap=-0.565",
-          "index=Panula, Mr. Jaako Arnold<br>Embarked=Southampton<br>shap=-0.547",
-          "index=Fischer, Mr. Eberhard Thelander<br>Embarked=Southampton<br>shap=-1.079",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Embarked=Southampton<br>shap=-1.281",
-          "index=Hansen, Mr. Henrik Juul<br>Embarked=Southampton<br>shap=-1.001",
-          "index=Calderhead, Mr. Edward Pennington<br>Embarked=Southampton<br>shap=-9.406",
-          "index=Klaber, Mr. Herman<br>Embarked=Southampton<br>shap=-4.621",
-          "index=Taylor, Mr. Elmer Zebley<br>Embarked=Southampton<br>shap=-5.386",
-          "index=Larsson, Mr. August Viktor<br>Embarked=Southampton<br>shap=-1.059",
-          "index=Greenberg, Mr. Samuel<br>Embarked=Southampton<br>shap=-1.08",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Embarked=Southampton<br>shap=-0.909",
-          "index=Johnson, Mr. Malkolm Joackim<br>Embarked=Southampton<br>shap=-1.136",
-          "index=Gillespie, Mr. William Henry<br>Embarked=Southampton<br>shap=-1.733",
-          "index=Allen, Miss. Elisabeth Walton<br>Embarked=Southampton<br>shap=-7.394",
-          "index=Berriman, Mr. William John<br>Embarked=Southampton<br>shap=-1.109",
-          "index=Troupiansky, Mr. Moses Aaron<br>Embarked=Southampton<br>shap=-1.109",
-          "index=Williams, Mr. Leslie<br>Embarked=Southampton<br>shap=-1.059",
-          "index=Ivanoff, Mr. Kanio<br>Embarked=Southampton<br>shap=-0.926",
-          "index=McNamee, Mr. Neal<br>Embarked=Southampton<br>shap=-1.008",
-          "index=Carlsson, Mr. August Sigfrid<br>Embarked=Southampton<br>shap=-1.059",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Embarked=Southampton<br>shap=-9.375",
-          "index=Eklund, Mr. Hans Linus<br>Embarked=Southampton<br>shap=-1.079",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Embarked=Southampton<br>shap=-5.019",
-          "index=Lievens, Mr. Rene Aime<br>Embarked=Southampton<br>shap=-1.081",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Embarked=Southampton<br>shap=-8.297",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Embarked=Southampton<br>shap=-7.205",
-          "index=Johnston, Mr. Andrew G<br>Embarked=Southampton<br>shap=-0.632",
-          "index=Ali, Mr. William<br>Embarked=Southampton<br>shap=-1.081",
-          "index=Sjoblom, Miss. Anna Sofia<br>Embarked=Southampton<br>shap=-0.905",
-          "index=Leader, Dr. Alice (Farnham)<br>Embarked=Southampton<br>shap=-5.171",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Embarked=Southampton<br>shap=-0.71",
-          "index=Carter, Master. William Thornton II<br>Embarked=Southampton<br>shap=-7.037",
-          "index=Johansson, Mr. Karl Johan<br>Embarked=Southampton<br>shap=-1.126",
-          "index=Slemen, Mr. Richard James<br>Embarked=Southampton<br>shap=-1.836",
-          "index=Tomlin, Mr. Ernest Portage<br>Embarked=Southampton<br>shap=-1.08",
-          "index=Richards, Master. George Sibley<br>Embarked=Southampton<br>shap=-0.766",
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-          "index=Sage, Mr. Douglas Bullen<br>Embarked=Southampton<br>shap=-0.573",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Embarked=Southampton<br>shap=-0.792",
-          "index=Johnson, Master. Harold Theodor<br>Embarked=Southampton<br>shap=-0.711",
-          "index=Carlsson, Mr. Frans Olof<br>Embarked=Southampton<br>shap=-13.958",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Embarked=Southampton<br>shap=-1.079",
-          "index=Montvila, Rev. Juozas<br>Embarked=Southampton<br>shap=-1.087"
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-          "index=Andreasson, Mr. Paul Edvin<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Chaffee, Mr. Herbert Fuller<br>No_of_parents_plus_children_on_board=0<br>shap=-3.739",
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-          "index=Moore, Mr. Leonard Charles<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Osen, Mr. Olaf Elon<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>No_of_parents_plus_children_on_board=2<br>shap=2.028",
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-          "index=Smith, Mr. Richard William<br>No_of_parents_plus_children_on_board=0<br>shap=-4.379",
-          "index=Connolly, Miss. Kate<br>No_of_parents_plus_children_on_board=0<br>shap=-0.311",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_parents_plus_children_on_board=0<br>shap=-3.213",
-          "index=Levy, Mr. Rene Jacques<br>No_of_parents_plus_children_on_board=0<br>shap=0.264",
-          "index=Lewy, Mr. Ervin G<br>No_of_parents_plus_children_on_board=0<br>shap=-3.585",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Sage, Mr. George John Jr<br>No_of_parents_plus_children_on_board=2<br>shap=2.808",
-          "index=Nysveen, Mr. Johan Hansen<br>No_of_parents_plus_children_on_board=0<br>shap=-0.488",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_parents_plus_children_on_board=0<br>shap=-2.467",
-          "index=Denkoff, Mr. Mitto<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Burns, Miss. Elizabeth Margaret<br>No_of_parents_plus_children_on_board=0<br>shap=-1.274",
-          "index=Dimic, Mr. Jovan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.473",
-          "index=del Carlo, Mr. Sebastiano<br>No_of_parents_plus_children_on_board=0<br>shap=0.186",
-          "index=Beavan, Mr. William Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_parents_plus_children_on_board=0<br>shap=-1.958",
-          "index=Widener, Mr. Harry Elkins<br>No_of_parents_plus_children_on_board=2<br>shap=11.769",
-          "index=Gustafsson, Mr. Karl Gideon<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Plotcharsky, Mr. Vasil<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Goodwin, Master. Sidney Leonard<br>No_of_parents_plus_children_on_board=2<br>shap=2.689",
-          "index=Sadlier, Mr. Matthew<br>No_of_parents_plus_children_on_board=0<br>shap=-0.479",
-          "index=Gustafsson, Mr. Johan Birger<br>No_of_parents_plus_children_on_board=0<br>shap=0.313",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_parents_plus_children_on_board=2<br>shap=1.659",
-          "index=Niskanen, Mr. Juha<br>No_of_parents_plus_children_on_board=0<br>shap=-0.436",
-          "index=Minahan, Miss. Daisy E<br>No_of_parents_plus_children_on_board=0<br>shap=-3.452",
-          "index=Matthews, Mr. William John<br>No_of_parents_plus_children_on_board=0<br>shap=0.05",
-          "index=Charters, Mr. David<br>No_of_parents_plus_children_on_board=0<br>shap=-0.478",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_parents_plus_children_on_board=0<br>shap=0.312",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_parents_plus_children_on_board=1<br>shap=0.548",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>No_of_parents_plus_children_on_board=0<br>shap=-0.477",
-          "index=Peuchen, Major. Arthur Godfrey<br>No_of_parents_plus_children_on_board=0<br>shap=-4.03",
-          "index=Anderson, Mr. Harry<br>No_of_parents_plus_children_on_board=0<br>shap=-3.868",
-          "index=Milling, Mr. Jacob Christian<br>No_of_parents_plus_children_on_board=0<br>shap=0.154",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_parents_plus_children_on_board=2<br>shap=1.126",
-          "index=Karlsson, Mr. Nils August<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.132",
-          "index=Bishop, Mr. Dickinson H<br>No_of_parents_plus_children_on_board=0<br>shap=-4.326",
-          "index=Windelov, Mr. Einar<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Shellard, Mr. Frederick William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Svensson, Mr. Olof<br>No_of_parents_plus_children_on_board=0<br>shap=-0.572",
-          "index=O'Sullivan, Miss. Bridget Mary<br>No_of_parents_plus_children_on_board=0<br>shap=-0.346",
-          "index=Laitinen, Miss. Kristina Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=-0.367",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>No_of_parents_plus_children_on_board=0<br>shap=-3.593",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_parents_plus_children_on_board=0<br>shap=-4.107",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_parents_plus_children_on_board=0<br>shap=0.304",
-          "index=Kassem, Mr. Fared<br>No_of_parents_plus_children_on_board=0<br>shap=-0.427",
-          "index=Cacic, Miss. Marija<br>No_of_parents_plus_children_on_board=0<br>shap=-0.441",
-          "index=Hart, Miss. Eva Miriam<br>No_of_parents_plus_children_on_board=2<br>shap=0.751",
-          "index=Butt, Major. Archibald Willingham<br>No_of_parents_plus_children_on_board=0<br>shap=-5.61",
-          "index=Beane, Mr. Edward<br>No_of_parents_plus_children_on_board=0<br>shap=0.156",
-          "index=Goldsmith, Mr. Frank John<br>No_of_parents_plus_children_on_board=1<br>shap=1.912",
-          "index=Ohman, Miss. Velin<br>No_of_parents_plus_children_on_board=0<br>shap=-0.326",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_parents_plus_children_on_board=1<br>shap=5.445",
-          "index=Morrow, Mr. Thomas Rowan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.479",
-          "index=Harris, Mr. George<br>No_of_parents_plus_children_on_board=0<br>shap=0.194",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_parents_plus_children_on_board=0<br>shap=-2.118",
-          "index=Patchett, Mr. George<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Ross, Mr. John Hugo<br>No_of_parents_plus_children_on_board=0<br>shap=-3.916",
-          "index=Murdlin, Mr. Joseph<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Bourke, Miss. Mary<br>No_of_parents_plus_children_on_board=2<br>shap=1.567",
-          "index=Boulos, Mr. Hanna<br>No_of_parents_plus_children_on_board=0<br>shap=-0.427",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_parents_plus_children_on_board=0<br>shap=-2.28",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_parents_plus_children_on_board=0<br>shap=-2.695",
-          "index=Lindell, Mr. Edvard Bengtsson<br>No_of_parents_plus_children_on_board=0<br>shap=-0.503",
-          "index=Daniel, Mr. Robert Williams<br>No_of_parents_plus_children_on_board=0<br>shap=-4.864",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_parents_plus_children_on_board=2<br>shap=0.814",
-          "index=Shutes, Miss. Elizabeth W<br>No_of_parents_plus_children_on_board=0<br>shap=-2.68",
-          "index=Jardin, Mr. Jose Neto<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Horgan, Mr. John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.479",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_parents_plus_children_on_board=0<br>shap=-0.419",
-          "index=Yasbeck, Mr. Antoni<br>No_of_parents_plus_children_on_board=0<br>shap=-0.462",
-          "index=Bostandyeff, Mr. Guentcho<br>No_of_parents_plus_children_on_board=0<br>shap=-0.574",
-          "index=Lundahl, Mr. Johan Svensson<br>No_of_parents_plus_children_on_board=0<br>shap=-0.485",
-          "index=Stahelin-Maeglin, Dr. Max<br>No_of_parents_plus_children_on_board=0<br>shap=-4.699",
-          "index=Willey, Mr. Edward<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>No_of_parents_plus_children_on_board=0<br>shap=-0.357",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>No_of_parents_plus_children_on_board=0<br>shap=-0.346",
-          "index=Eitemiller, Mr. George Floyd<br>No_of_parents_plus_children_on_board=0<br>shap=0.114",
-          "index=Colley, Mr. Edward Pomeroy<br>No_of_parents_plus_children_on_board=0<br>shap=-4.157",
-          "index=Coleff, Mr. Peju<br>No_of_parents_plus_children_on_board=0<br>shap=-0.541",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_parents_plus_children_on_board=1<br>shap=0.518",
-          "index=Davidson, Mr. Thornton<br>No_of_parents_plus_children_on_board=0<br>shap=-6.419",
-          "index=Turja, Miss. Anna Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=-0.325",
-          "index=Hassab, Mr. Hammad<br>No_of_parents_plus_children_on_board=0<br>shap=-3.222",
-          "index=Goodwin, Mr. Charles Edward<br>No_of_parents_plus_children_on_board=2<br>shap=2.689",
-          "index=Panula, Mr. Jaako Arnold<br>No_of_parents_plus_children_on_board=1<br>shap=2.251",
-          "index=Fischer, Mr. Eberhard Thelander<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_parents_plus_children_on_board=0<br>shap=-0.48",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_parents_plus_children_on_board=0<br>shap=-2.38",
-          "index=Hansen, Mr. Henrik Juul<br>No_of_parents_plus_children_on_board=0<br>shap=-0.535",
-          "index=Calderhead, Mr. Edward Pennington<br>No_of_parents_plus_children_on_board=0<br>shap=-3.738",
-          "index=Klaber, Mr. Herman<br>No_of_parents_plus_children_on_board=0<br>shap=-4.605",
-          "index=Taylor, Mr. Elmer Zebley<br>No_of_parents_plus_children_on_board=0<br>shap=-3.744",
-          "index=Larsson, Mr. August Viktor<br>No_of_parents_plus_children_on_board=0<br>shap=-0.601",
-          "index=Greenberg, Mr. Samuel<br>No_of_parents_plus_children_on_board=0<br>shap=0.16",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.24",
-          "index=McEvoy, Mr. Michael<br>No_of_parents_plus_children_on_board=0<br>shap=-0.479",
-          "index=Johnson, Mr. Malkolm Joackim<br>No_of_parents_plus_children_on_board=0<br>shap=-0.585",
-          "index=Gillespie, Mr. William Henry<br>No_of_parents_plus_children_on_board=0<br>shap=0.079",
-          "index=Allen, Miss. Elisabeth Walton<br>No_of_parents_plus_children_on_board=0<br>shap=-4.648",
-          "index=Berriman, Mr. William John<br>No_of_parents_plus_children_on_board=0<br>shap=0.114",
-          "index=Troupiansky, Mr. Moses Aaron<br>No_of_parents_plus_children_on_board=0<br>shap=0.114",
-          "index=Williams, Mr. Leslie<br>No_of_parents_plus_children_on_board=0<br>shap=-0.601",
-          "index=Ivanoff, Mr. Kanio<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=McNamee, Mr. Neal<br>No_of_parents_plus_children_on_board=0<br>shap=-0.53",
-          "index=Connaghton, Mr. Michael<br>No_of_parents_plus_children_on_board=0<br>shap=-0.539",
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-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>No_of_parents_plus_children_on_board=0<br>shap=-4.574",
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-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>No_of_parents_plus_children_on_board=0<br>shap=-1.977",
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-          "index=Lievens, Mr. Rene Aime<br>No_of_parents_plus_children_on_board=0<br>shap=-0.572",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>No_of_parents_plus_children_on_board=1<br>shap=9.099",
-          "index=Ayoub, Miss. Banoura<br>No_of_parents_plus_children_on_board=0<br>shap=-0.269",
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-          "index=Ali, Mr. William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.578",
-          "index=Sjoblom, Miss. Anna Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=-0.325",
-          "index=Guggenheim, Mr. Benjamin<br>No_of_parents_plus_children_on_board=0<br>shap=-4.497",
-          "index=Leader, Dr. Alice (Farnham)<br>No_of_parents_plus_children_on_board=0<br>shap=-1.734",
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-          "index=Carter, Master. William Thornton II<br>No_of_parents_plus_children_on_board=2<br>shap=8.856",
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-          "index=Lemberopolous, Mr. Peter L<br>No_of_parents_plus_children_on_board=0<br>shap=-0.447",
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-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Survived=1<br>shap=0.643",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Survived=1<br>shap=0.501",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Survived=1<br>shap=1.786",
-          "index=Peuchen, Major. Arthur Godfrey<br>Survived=1<br>shap=1.808",
-          "index=Anderson, Mr. Harry<br>Survived=1<br>shap=2.164",
-          "index=Milling, Mr. Jacob Christian<br>Survived=0<br>shap=-0.721",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Survived=1<br>shap=0.416",
-          "index=Karlsson, Mr. Nils August<br>Survived=0<br>shap=-0.855",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Survived=0<br>shap=-0.587",
-          "index=Bishop, Mr. Dickinson H<br>Survived=1<br>shap=4.639",
-          "index=Windelov, Mr. Einar<br>Survived=0<br>shap=-0.855",
-          "index=Shellard, Mr. Frederick William<br>Survived=0<br>shap=-0.868",
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-          "index=O'Sullivan, Miss. Bridget Mary<br>Survived=0<br>shap=-0.714",
-          "index=Laitinen, Miss. Kristina Sofia<br>Survived=0<br>shap=-1.024",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Survived=0<br>shap=-2.065",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Survived=1<br>shap=1.675",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Survived=1<br>shap=0.646",
-          "index=Kassem, Mr. Fared<br>Survived=0<br>shap=-0.994",
-          "index=Cacic, Miss. Marija<br>Survived=0<br>shap=-0.719",
-          "index=Hart, Miss. Eva Miriam<br>Survived=1<br>shap=0.359",
-          "index=Butt, Major. Archibald Willingham<br>Survived=0<br>shap=-6.803",
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-          "index=Harris, Mr. George<br>Survived=1<br>shap=1.112",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Survived=1<br>shap=1.193",
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-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Survived=1<br>shap=0.97",
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-          "index=Lievens, Mr. Rene Aime<br>Survived=0<br>shap=-0.855",
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-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Survived=1<br>shap=1.916",
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-          "index=Ali, Mr. William<br>Survived=0<br>shap=-0.855",
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-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=38.0<br>shap=7.557",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=35.0<br>shap=6.126",
-          "index=Palsson, Master. Gosta Leonard<br>Age=2.0<br>shap=0.107",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=27.0<br>shap=-0.651",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>shap=-0.912",
-          "index=Saundercock, Mr. William Henry<br>Age=20.0<br>shap=-0.403",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=14.0<br>shap=0.089",
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-          "index=Glynn, Miss. Mary Agatha<br>Age=nan<br>shap=-0.345",
-          "index=Meyer, Mr. Edgar Joseph<br>Age=28.0<br>shap=-2.672",
-          "index=Kraeff, Mr. Theodor<br>Age=nan<br>shap=-0.078",
-          "index=Devaney, Miss. Margaret Delia<br>Age=19.0<br>shap=-0.885",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=18.0<br>shap=-0.842",
-          "index=Rugg, Miss. Emily<br>Age=21.0<br>shap=-0.788",
-          "index=Harris, Mr. Henry Birkhardt<br>Age=45.0<br>shap=-1.123",
-          "index=Skoog, Master. Harald<br>Age=4.0<br>shap=0.093",
-          "index=Kink, Mr. Vincenz<br>Age=26.0<br>shap=-0.379",
-          "index=Hood, Mr. Ambrose Jr<br>Age=21.0<br>shap=-0.298",
-          "index=Ilett, Miss. Bertha<br>Age=17.0<br>shap=-0.157",
-          "index=Ford, Mr. William Neal<br>Age=16.0<br>shap=-0.214",
-          "index=Christmann, Mr. Emil<br>Age=29.0<br>shap=-0.403",
-          "index=Andreasson, Mr. Paul Edvin<br>Age=20.0<br>shap=-0.403",
-          "index=Chaffee, Mr. Herbert Fuller<br>Age=46.0<br>shap=-0.515",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=nan<br>shap=0.267",
-          "index=White, Mr. Richard Frasar<br>Age=21.0<br>shap=2.438",
-          "index=Rekic, Mr. Tido<br>Age=38.0<br>shap=0.508",
-          "index=Moran, Miss. Bertha<br>Age=nan<br>shap=0.384",
-          "index=Barton, Mr. David John<br>Age=22.0<br>shap=-0.398",
-          "index=Jussila, Miss. Katriina<br>Age=20.0<br>shap=-0.975",
-          "index=Pekoniemi, Mr. Edvard<br>Age=21.0<br>shap=-0.403",
-          "index=Turpin, Mr. William John Robert<br>Age=29.0<br>shap=-0.248",
-          "index=Moore, Mr. Leonard Charles<br>Age=nan<br>shap=0.267",
-          "index=Osen, Mr. Olaf Elon<br>Age=16.0<br>shap=-0.19",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=9.0<br>shap=-0.033",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=36.5<br>shap=1.944",
-          "index=Bateman, Rev. Robert James<br>Age=51.0<br>shap=0.219",
-          "index=Meo, Mr. Alfonzo<br>Age=55.5<br>shap=-0.157",
-          "index=Cribb, Mr. John Hatfield<br>Age=44.0<br>shap=-0.29",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=nan<br>shap=0.78",
-          "index=Van der hoef, Mr. Wyckoff<br>Age=61.0<br>shap=-2.168",
-          "index=Sivola, Mr. Antti Wilhelm<br>Age=21.0<br>shap=-0.403",
-          "index=Klasen, Mr. Klas Albin<br>Age=18.0<br>shap=-0.185",
-          "index=Rood, Mr. Hugh Roscoe<br>Age=nan<br>shap=1.516",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=19.0<br>shap=-1.135",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>shap=6.35",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>shap=-0.342",
-          "index=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>shap=-0.436",
-          "index=Blank, Mr. Henry<br>Age=40.0<br>shap=4.296",
-          "index=Ali, Mr. Ahmed<br>Age=24.0<br>shap=-0.349",
-          "index=Green, Mr. George Henry<br>Age=51.0<br>shap=-0.083",
-          "index=Nenkoff, Mr. Christo<br>Age=nan<br>shap=0.267",
-          "index=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>shap=-0.126",
-          "index=Harknett, Miss. Alice Phoebe<br>Age=nan<br>shap=-0.016",
-          "index=Hunt, Mr. George Henry<br>Age=33.0<br>shap=0.373",
-          "index=Reed, Mr. James George<br>Age=nan<br>shap=0.267",
-          "index=Stead, Mr. William Thomas<br>Age=62.0<br>shap=-3.208",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Age=nan<br>shap=-6.203",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>shap=0.725",
-          "index=Smith, Mr. Thomas<br>Age=nan<br>shap=0.087",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>shap=-0.009",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Age=nan<br>shap=-0.345",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>shap=-1.48",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>shap=2.215",
-          "index=Smith, Mr. Richard William<br>Age=nan<br>shap=1.516",
-          "index=Connolly, Miss. Kate<br>Age=22.0<br>shap=-0.88",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>shap=-3.599",
-          "index=Levy, Mr. Rene Jacques<br>Age=36.0<br>shap=3.355",
-          "index=Lewy, Mr. Ervin G<br>Age=nan<br>shap=-0.526",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Age=nan<br>shap=0.267",
-          "index=Sage, Mr. George John Jr<br>Age=nan<br>shap=1.442",
-          "index=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>shap=-0.152",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=nan<br>shap=-2.005",
-          "index=Denkoff, Mr. Mitto<br>Age=nan<br>shap=0.267",
-          "index=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>shap=6.319",
-          "index=Dimic, Mr. Jovan<br>Age=42.0<br>shap=0.405",
-          "index=del Carlo, Mr. Sebastiano<br>Age=29.0<br>shap=-0.438",
-          "index=Beavan, Mr. William Thomas<br>Age=19.0<br>shap=-0.403",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=nan<br>shap=-4.52",
-          "index=Widener, Mr. Harry Elkins<br>Age=27.0<br>shap=-0.104",
-          "index=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>shap=-0.403",
-          "index=Plotcharsky, Mr. Vasil<br>Age=nan<br>shap=0.267",
-          "index=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>shap=-1.575",
-          "index=Sadlier, Mr. Matthew<br>Age=nan<br>shap=0.087",
-          "index=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>shap=-0.412",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>shap=-0.277",
-          "index=Niskanen, Mr. Juha<br>Age=39.0<br>shap=1.206",
-          "index=Minahan, Miss. Daisy E<br>Age=33.0<br>shap=1.669",
-          "index=Matthews, Mr. William John<br>Age=30.0<br>shap=-0.178",
-          "index=Charters, Mr. David<br>Age=21.0<br>shap=-0.316",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=19.0<br>shap=-0.788",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>shap=0.918",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>shap=0.129",
-          "index=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>shap=-1.641",
-          "index=Anderson, Mr. Harry<br>Age=48.0<br>shap=-0.42",
-          "index=Milling, Mr. Jacob Christian<br>Age=48.0<br>shap=0.308",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>shap=0.727",
-          "index=Karlsson, Mr. Nils August<br>Age=22.0<br>shap=-0.398",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Age=nan<br>shap=-1.07",
-          "index=Bishop, Mr. Dickinson H<br>Age=25.0<br>shap=-4.355",
-          "index=Windelov, Mr. Einar<br>Age=21.0<br>shap=-0.403",
-          "index=Shellard, Mr. Frederick William<br>Age=nan<br>shap=0.267",
-          "index=Svensson, Mr. Olof<br>Age=24.0<br>shap=-0.349",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>shap=-0.2",
-          "index=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>shap=1.111",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>shap=-1.153",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=nan<br>shap=0.023",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=36.0<br>shap=2.15",
-          "index=Kassem, Mr. Fared<br>Age=nan<br>shap=-0.078",
-          "index=Cacic, Miss. Marija<br>Age=30.0<br>shap=-0.619",
-          "index=Hart, Miss. Eva Miriam<br>Age=7.0<br>shap=-0.326",
-          "index=Butt, Major. Archibald Willingham<br>Age=45.0<br>shap=0.969",
-          "index=Beane, Mr. Edward<br>Age=32.0<br>shap=0.057",
-          "index=Goldsmith, Mr. Frank John<br>Age=33.0<br>shap=0.448",
-          "index=Ohman, Miss. Velin<br>Age=22.0<br>shap=-0.953",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>shap=1.823",
-          "index=Morrow, Mr. Thomas Rowan<br>Age=nan<br>shap=0.087",
-          "index=Harris, Mr. George<br>Age=62.0<br>shap=0.512",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>shap=-1.274",
-          "index=Patchett, Mr. George<br>Age=19.0<br>shap=-0.403",
-          "index=Ross, Mr. John Hugo<br>Age=36.0<br>shap=20.242",
-          "index=Murdlin, Mr. Joseph<br>Age=nan<br>shap=0.267",
-          "index=Bourke, Miss. Mary<br>Age=nan<br>shap=-0.141",
-          "index=Boulos, Mr. Hanna<br>Age=nan<br>shap=-0.078",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Age=49.0<br>shap=-1.775",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=35.0<br>shap=24.245",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>shap=1.251",
-          "index=Daniel, Mr. Robert Williams<br>Age=27.0<br>shap=-1.967",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>shap=-1.06",
-          "index=Shutes, Miss. Elizabeth W<br>Age=40.0<br>shap=3.344",
-          "index=Jardin, Mr. Jose Neto<br>Age=nan<br>shap=0.267",
-          "index=Horgan, Mr. John<br>Age=nan<br>shap=0.087",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>shap=-0.884",
-          "index=Yasbeck, Mr. Antoni<br>Age=27.0<br>shap=-0.901",
-          "index=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>shap=-0.146",
-          "index=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>shap=-0.083",
-          "index=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>shap=1.364",
-          "index=Willey, Mr. Edward<br>Age=nan<br>shap=0.267",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>shap=-0.936",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Age=18.0<br>shap=-0.472",
-          "index=Eitemiller, Mr. George Floyd<br>Age=23.0<br>shap=-0.292",
-          "index=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>shap=-1.065",
-          "index=Coleff, Mr. Peju<br>Age=36.0<br>shap=1.618",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>shap=1.099",
-          "index=Davidson, Mr. Thornton<br>Age=31.0<br>shap=-0.876",
-          "index=Turja, Miss. Anna Sofia<br>Age=18.0<br>shap=-0.75",
-          "index=Hassab, Mr. Hammad<br>Age=27.0<br>shap=-4.145",
-          "index=Goodwin, Mr. Charles Edward<br>Age=14.0<br>shap=-1.644",
-          "index=Panula, Mr. Jaako Arnold<br>Age=14.0<br>shap=0.036",
-          "index=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>shap=-0.195",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>shap=0.296",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>shap=-3.472",
-          "index=Hansen, Mr. Henrik Juul<br>Age=26.0<br>shap=-0.693",
-          "index=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>shap=1.155",
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-           1,
-           1,
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-           5,
-           4,
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-           1,
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-          ],
-          "colorbar": {
-           "showticklabels": false,
-           "title": {
-            "text": "feature value <br> (red is high)"
-           }
-          },
-          "colorscale": [
-           [
-            0,
-            "rgb(0,0,255)"
-           ],
-           [
-            1,
-            "rgb(255,0,0)"
-           ]
-          ],
-          "opacity": 0.3,
-          "showscale": true,
-          "size": 5
-         },
-         "mode": "markers",
-         "name": "No_of_siblings_plus_spouses_on_board",
-         "opacity": 0.8,
-         "showlegend": false,
-         "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.556",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.526",
-          "index=Palsson, Master. Gosta Leonard<br>No_of_siblings_plus_spouses_on_board=3<br>shap=0.324",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.436",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.073",
-          "index=Saundercock, Mr. William Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.093",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.463",
-          "index=Glynn, Miss. Mary Agatha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.102",
-          "index=Meyer, Mr. Edgar Joseph<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.55",
-          "index=Kraeff, Mr. Theodor<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.127",
-          "index=Devaney, Miss. Margaret Delia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.093",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.033",
-          "index=Rugg, Miss. Emily<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.086",
-          "index=Harris, Mr. Henry Birkhardt<br>No_of_siblings_plus_spouses_on_board=1<br>shap=1.084",
-          "index=Skoog, Master. Harald<br>No_of_siblings_plus_spouses_on_board=3<br>shap=0.34",
-          "index=Kink, Mr. Vincenz<br>No_of_siblings_plus_spouses_on_board=2<br>shap=0.629",
-          "index=Hood, Mr. Ambrose Jr<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.126",
-          "index=Ilett, Miss. Bertha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.086",
-          "index=Ford, Mr. William Neal<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.363",
-          "index=Christmann, Mr. Emil<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.132",
-          "index=Andreasson, Mr. Paul Edvin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Chaffee, Mr. Herbert Fuller<br>No_of_siblings_plus_spouses_on_board=1<br>shap=1.216",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=White, Mr. Richard Frasar<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Rekic, Mr. Tido<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.108",
-          "index=Moran, Miss. Bertha<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.048",
-          "index=Barton, Mr. David John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Jussila, Miss. Katriina<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.033",
-          "index=Pekoniemi, Mr. Edvard<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Turpin, Mr. William John Robert<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.107",
-          "index=Moore, Mr. Leonard Charles<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Osen, Mr. Olaf Elon<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>No_of_siblings_plus_spouses_on_board=2<br>shap=-0.012",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.47",
-          "index=Bateman, Rev. Robert James<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.121",
-          "index=Meo, Mr. Alfonzo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.112",
-          "index=Cribb, Mr. John Hatfield<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.083",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.129",
-          "index=Van der hoef, Mr. Wyckoff<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.39",
-          "index=Sivola, Mr. Antti Wilhelm<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Klasen, Mr. Klas Albin<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.337",
-          "index=Rood, Mr. Hugh Roscoe<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.382",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.018",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.156",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.132",
-          "index=Backstrom, Mr. Karl Alfred<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.127",
-          "index=Blank, Mr. Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.221",
-          "index=Ali, Mr. Ahmed<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Green, Mr. George Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.112",
-          "index=Nenkoff, Mr. Christo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Asplund, Miss. Lillian Gertrud<br>No_of_siblings_plus_spouses_on_board=4<br>shap=0.363",
-          "index=Harknett, Miss. Alice Phoebe<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.102",
-          "index=Hunt, Mr. George Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.125",
-          "index=Reed, Mr. James George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Stead, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.39",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.027",
-          "index=Parrish, Mrs. (Lutie Davis)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.074",
-          "index=Smith, Mr. Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.133",
-          "index=Asplund, Master. Edvin Rojj Felix<br>No_of_siblings_plus_spouses_on_board=4<br>shap=0.332",
-          "index=Healy, Miss. Hanora \"Nora\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.102",
-          "index=Andrews, Miss. Kornelia Theodosia<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.485",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.46",
-          "index=Smith, Mr. Richard William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.382",
-          "index=Connolly, Miss. Kate<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.093",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.082",
-          "index=Levy, Mr. Rene Jacques<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.124",
-          "index=Lewy, Mr. Ervin G<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.206",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Sage, Mr. George John Jr<br>No_of_siblings_plus_spouses_on_board=8<br>shap=6.01",
-          "index=Nysveen, Mr. Johan Hansen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.112",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.055",
-          "index=Denkoff, Mr. Mitto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Burns, Miss. Elizabeth Margaret<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.255",
-          "index=Dimic, Mr. Jovan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.108",
-          "index=del Carlo, Mr. Sebastiano<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.054",
-          "index=Beavan, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.085",
-          "index=Widener, Mr. Harry Elkins<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.156",
-          "index=Gustafsson, Mr. Karl Gideon<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Plotcharsky, Mr. Vasil<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Goodwin, Master. Sidney Leonard<br>No_of_siblings_plus_spouses_on_board=5<br>shap=0.446",
-          "index=Sadlier, Mr. Matthew<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.133",
-          "index=Gustafsson, Mr. Johan Birger<br>No_of_siblings_plus_spouses_on_board=2<br>shap=0.642",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.447",
-          "index=Niskanen, Mr. Juha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.105",
-          "index=Minahan, Miss. Daisy E<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.004",
-          "index=Matthews, Mr. William John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.141",
-          "index=Charters, Mr. David<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.124",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.086",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.484",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.136",
-          "index=Peuchen, Major. Arthur Godfrey<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.39",
-          "index=Anderson, Mr. Harry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.412",
-          "index=Milling, Mr. Jacob Christian<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.121",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.495",
-          "index=Karlsson, Mr. Nils August<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.141",
-          "index=Bishop, Mr. Dickinson H<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.391",
-          "index=Windelov, Mr. Einar<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Shellard, Mr. Frederick William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Svensson, Mr. Olof<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=O'Sullivan, Miss. Bridget Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.105",
-          "index=Laitinen, Miss. Kristina Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.334",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.343",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.119",
-          "index=Kassem, Mr. Fared<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.127",
-          "index=Cacic, Miss. Marija<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.093",
-          "index=Hart, Miss. Eva Miriam<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.479",
-          "index=Butt, Major. Archibald Willingham<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.393",
-          "index=Beane, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.105",
-          "index=Goldsmith, Mr. Frank John<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.352",
-          "index=Ohman, Miss. Velin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.09",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.462",
-          "index=Morrow, Mr. Thomas Rowan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.133",
-          "index=Harris, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.12",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_siblings_plus_spouses_on_board=2<br>shap=1.346",
-          "index=Patchett, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Ross, Mr. John Hugo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.221",
-          "index=Murdlin, Mr. Joseph<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Bourke, Miss. Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.462",
-          "index=Boulos, Mr. Hanna<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.127",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.634",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.095",
-          "index=Lindell, Mr. Edvard Bengtsson<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.098",
-          "index=Daniel, Mr. Robert Williams<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.38",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.445",
-          "index=Shutes, Miss. Elizabeth W<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.312",
-          "index=Jardin, Mr. Jose Neto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Horgan, Mr. John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.133",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.02",
-          "index=Yasbeck, Mr. Antoni<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.069",
-          "index=Bostandyeff, Mr. Guentcho<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.127",
-          "index=Lundahl, Mr. Johan Svensson<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.112",
-          "index=Stahelin-Maeglin, Dr. Max<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.263",
-          "index=Willey, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.09",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.096",
-          "index=Eitemiller, Mr. George Floyd<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.126",
-          "index=Colley, Mr. Edward Pomeroy<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.413",
-          "index=Coleff, Mr. Peju<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.108",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.491",
-          "index=Davidson, Mr. Thornton<br>No_of_siblings_plus_spouses_on_board=1<br>shap=1.082",
-          "index=Turja, Miss. Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.09",
-          "index=Hassab, Mr. Hammad<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.281",
-          "index=Goodwin, Mr. Charles Edward<br>No_of_siblings_plus_spouses_on_board=5<br>shap=0.446",
-          "index=Panula, Mr. Jaako Arnold<br>No_of_siblings_plus_spouses_on_board=4<br>shap=0.344",
-          "index=Fischer, Mr. Eberhard Thelander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.128",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.012",
-          "index=Hansen, Mr. Henrik Juul<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.114",
-          "index=Calderhead, Mr. Edward Pennington<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.358",
-          "index=Klaber, Mr. Herman<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.36",
-          "index=Taylor, Mr. Elmer Zebley<br>No_of_siblings_plus_spouses_on_board=1<br>shap=1.081",
-          "index=Larsson, Mr. August Viktor<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.132",
-          "index=Greenberg, Mr. Samuel<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.121",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.11",
-          "index=McEvoy, Mr. Michael<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.133",
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Bertha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.086\", \"index=Ford, Mr. William Neal<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.363\", \"index=Christmann, Mr. Emil<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.132\", \"index=Andreasson, Mr. Paul Edvin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13\", \"index=Chaffee, Mr. Herbert Fuller<br>No_of_siblings_plus_spouses_on_board=1<br>shap=1.216\", \"index=Petroff, Mr. Pastcho (\\\"Pentcho\\\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139\", \"index=White, Mr. Richard Frasar<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016\", \"index=Rekic, Mr. Tido<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.108\", \"index=Moran, Miss. Bertha<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.048\", \"index=Barton, Mr. David John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13\", \"index=Jussila, Miss. Katriina<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.033\", \"index=Pekoniemi, Mr. Edvard<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13\", \"index=Turpin, Mr. William John Robert<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.107\", \"index=Moore, Mr. Leonard Charles<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139\", \"index=Osen, Mr. Olaf Elon<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13\", \"index=Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>No_of_siblings_plus_spouses_on_board=2<br>shap=-0.012\", \"index=Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.47\", \"index=Bateman, Rev. Robert James<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.121\", \"index=Meo, Mr. Alfonzo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.112\", \"index=Cribb, Mr. John Hatfield<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.083\", \"index=Chibnall, Mrs. (Edith Martha Bowerman)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.129\", \"index=Van der hoef, Mr. Wyckoff<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.39\", \"index=Sivola, Mr. Antti Wilhelm<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13\", \"index=Klasen, Mr. Klas Albin<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.337\", \"index=Rood, Mr. Hugh Roscoe<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.382\", \"index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.018\", \"index=Brown, Mrs. James Joseph (Margaret Tobin)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.156\", \"index=Vande Walle, Mr. Nestor Cyriel<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.132\", \"index=Backstrom, Mr. Karl Alfred<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.127\", \"index=Blank, Mr. Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.221\", \"index=Ali, Mr. Ahmed<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13\", \"index=Green, Mr. George Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.112\", \"index=Nenkoff, Mr. Christo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139\", \"index=Asplund, Miss. Lillian Gertrud<br>No_of_siblings_plus_spouses_on_board=4<br>shap=0.363\", \"index=Harknett, Miss. Alice Phoebe<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.102\", \"index=Hunt, Mr. George Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.125\", \"index=Reed, Mr. James George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139\", \"index=Stead, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.39\", \"index=Thorne, Mrs. Gertrude Maybelle<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.027\", \"index=Parrish, Mrs. (Lutie Davis)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.074\", \"index=Smith, Mr. Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.133\", \"index=Asplund, Master. Edvin Rojj Felix<br>No_of_siblings_plus_spouses_on_board=4<br>shap=0.332\", \"index=Healy, Miss. Hanora \\\"Nora\\\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.102\", \"index=Andrews, Miss. Kornelia Theodosia<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.485\", \"index=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.46\", \"index=Smith, Mr. Richard William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.382\", \"index=Connolly, Miss. Kate<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.093\", \"index=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.082\", \"index=Levy, Mr. Rene Jacques<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.124\", \"index=Lewy, Mr. Ervin G<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.206\", \"index=Williams, Mr. Howard Hugh \\\"Harry\\\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139\", \"index=Sage, Mr. George John Jr<br>No_of_siblings_plus_spouses_on_board=8<br>shap=6.01\", \"index=Nysveen, Mr. Johan Hansen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.112\", \"index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.055\", \"index=Denkoff, Mr. Mitto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139\", \"index=Burns, Miss. Elizabeth Margaret<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.255\", \"index=Dimic, Mr. Jovan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.108\", \"index=del Carlo, Mr. Sebastiano<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.054\", \"index=Beavan, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13\", \"index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.085\", \"index=Widener, Mr. Harry Elkins<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.156\", \"index=Gustafsson, Mr. Karl Gideon<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13\", \"index=Plotcharsky, Mr. Vasil<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139\", \"index=Goodwin, Master. Sidney Leonard<br>No_of_siblings_plus_spouses_on_board=5<br>shap=0.446\", \"index=Sadlier, Mr. Matthew<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.133\", \"index=Gustafsson, Mr. Johan Birger<br>No_of_siblings_plus_spouses_on_board=2<br>shap=0.642\", \"index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.447\", \"index=Niskanen, Mr. Juha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.105\", \"index=Minahan, Miss. Daisy E<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.004\", \"index=Matthews, Mr. William John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.141\", \"index=Charters, Mr. David<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.124\", \"index=Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.086\", \"index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.484\", \"index=Johannesen-Bratthammer, Mr. Bernt<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.136\", \"index=Peuchen, Major. Arthur Godfrey<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.39\", \"index=Anderson, Mr. Harry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.412\", \"index=Milling, Mr. Jacob Christian<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.121\", \"index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.495\", \"index=Karlsson, Mr. Nils August<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13\", \"index=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.141\", \"index=Bishop, Mr. Dickinson H<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.391\", \"index=Windelov, Mr. Einar<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13\", \"index=Shellard, Mr. Frederick William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139\", \"index=Svensson, Mr. Olof<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13\", \"index=O'Sullivan, Miss. Bridget Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.105\", \"index=Laitinen, Miss. Kristina Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002\", \"index=Penasco y Castellana, Mr. Victor de Satode<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.334\", \"index=Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.343\", \"index=Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.119\", \"index=Kassem, Mr. Fared<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.127\", \"index=Cacic, Miss. Marija<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.093\", \"index=Hart, Miss. Eva Miriam<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.479\", \"index=Butt, Major. Archibald Willingham<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.393\", \"index=Beane, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.105\", \"index=Goldsmith, Mr. Frank John<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.352\", \"index=Ohman, Miss. Velin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.09\", \"index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.462\", \"index=Morrow, Mr. Thomas Rowan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.133\", \"index=Harris, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.12\", \"index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_siblings_plus_spouses_on_board=2<br>shap=1.346\", \"index=Patchett, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13\", \"index=Ross, Mr. John Hugo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.221\", \"index=Murdlin, Mr. Joseph<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139\", \"index=Bourke, Miss. Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.462\", \"index=Boulos, Mr. Hanna<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.127\", \"index=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.634\", \"index=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.095\", \"index=Lindell, Mr. Edvard Bengtsson<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.098\", \"index=Daniel, Mr. Robert Williams<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.38\", \"index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.445\", \"index=Shutes, Miss. Elizabeth W<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.312\", \"index=Jardin, Mr. Jose Neto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139\", \"index=Horgan, Mr. John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.133\", \"index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.02\", \"index=Yasbeck, Mr. Antoni<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.069\", \"index=Bostandyeff, Mr. Guentcho<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.127\", \"index=Lundahl, Mr. Johan Svensson<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.112\", \"index=Stahelin-Maeglin, Dr. Max<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.263\", \"index=Willey, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139\", \"index=Stanley, Miss. Amy Zillah Elsie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.09\", \"index=Hegarty, Miss. Hanora \\\"Nora\\\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.096\", \"index=Eitemiller, Mr. George Floyd<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.126\", \"index=Colley, Mr. Edward Pomeroy<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.413\", \"index=Coleff, Mr. Peju<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.108\", \"index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.491\", \"index=Davidson, Mr. Thornton<br>No_of_siblings_plus_spouses_on_board=1<br>shap=1.082\", \"index=Turja, Miss. Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.09\", \"index=Hassab, Mr. Hammad<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.281\", \"index=Goodwin, Mr. Charles Edward<br>No_of_siblings_plus_spouses_on_board=5<br>shap=0.446\", \"index=Panula, Mr. Jaako Arnold<br>No_of_siblings_plus_spouses_on_board=4<br>shap=0.344\", \"index=Fischer, Mr. Eberhard Thelander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13\", \"index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.128\", \"index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.012\", \"index=Hansen, Mr. Henrik Juul<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.114\", \"index=Calderhead, Mr. Edward Pennington<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.358\", \"index=Klaber, Mr. Herman<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.36\", \"index=Taylor, Mr. Elmer Zebley<br>No_of_siblings_plus_spouses_on_board=1<br>shap=1.081\", \"index=Larsson, Mr. August Viktor<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.132\", \"index=Greenberg, Mr. Samuel<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.121\", \"index=Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.11\", \"index=McEvoy, Mr. Michael<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.133\", \"index=Johnson, Mr. Malkolm Joackim<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.116\", \"index=Gillespie, Mr. William Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.116\", \"index=Allen, Miss. 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-   "source": [
-    "explainer.plot_shap_detailed(topx=10, cats=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-10-12T08:46:52.738094Z",
-     "start_time": "2020-10-12T08:46:52.447471Z"
-    }
-   },
-   "outputs": [
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-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>PassengerClass=1<br>shap=65.34",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>PassengerClass=1<br>shap=56.782",
-          "index=Palsson, Master. Gosta Leonard<br>PassengerClass=3<br>shap=-33.127",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>PassengerClass=3<br>shap=-21.443",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>PassengerClass=2<br>shap=-12.11",
-          "index=Saundercock, Mr. William Henry<br>PassengerClass=3<br>shap=-14.039",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>PassengerClass=3<br>shap=-18.185",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>PassengerClass=3<br>shap=-35.824",
-          "index=Glynn, Miss. Mary Agatha<br>PassengerClass=3<br>shap=-19.078",
-          "index=Meyer, Mr. Edgar Joseph<br>PassengerClass=1<br>shap=51.303",
-          "index=Kraeff, Mr. Theodor<br>PassengerClass=3<br>shap=-16.6",
-          "index=Devaney, Miss. Margaret Delia<br>PassengerClass=3<br>shap=-19.17",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>PassengerClass=3<br>shap=-19.201",
-          "index=Rugg, Miss. Emily<br>PassengerClass=2<br>shap=-12.651",
-          "index=Harris, Mr. Henry Birkhardt<br>PassengerClass=1<br>shap=46.0",
-          "index=Skoog, Master. Harald<br>PassengerClass=3<br>shap=-34.505",
-          "index=Kink, Mr. Vincenz<br>PassengerClass=3<br>shap=-19.364",
-          "index=Hood, Mr. Ambrose Jr<br>PassengerClass=2<br>shap=-7.542",
-          "index=Ilett, Miss. Bertha<br>PassengerClass=2<br>shap=-12.27",
-          "index=Ford, Mr. William Neal<br>PassengerClass=3<br>shap=-32.559",
-          "index=Christmann, Mr. Emil<br>PassengerClass=3<br>shap=-13.751",
-          "index=Andreasson, Mr. Paul Edvin<br>PassengerClass=3<br>shap=-14.039",
-          "index=Chaffee, Mr. Herbert Fuller<br>PassengerClass=1<br>shap=42.444",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>PassengerClass=3<br>shap=-13.717",
-          "index=White, Mr. Richard Frasar<br>PassengerClass=1<br>shap=52.097",
-          "index=Rekic, Mr. Tido<br>PassengerClass=3<br>shap=-14.112",
-          "index=Moran, Miss. Bertha<br>PassengerClass=3<br>shap=-20.392",
-          "index=Barton, Mr. David John<br>PassengerClass=3<br>shap=-14.041",
-          "index=Jussila, Miss. Katriina<br>PassengerClass=3<br>shap=-19.104",
-          "index=Pekoniemi, Mr. Edvard<br>PassengerClass=3<br>shap=-14.039",
-          "index=Turpin, Mr. William John Robert<br>PassengerClass=2<br>shap=-6.18",
-          "index=Moore, Mr. Leonard Charles<br>PassengerClass=3<br>shap=-13.717",
-          "index=Osen, Mr. Olaf Elon<br>PassengerClass=3<br>shap=-14.159",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>PassengerClass=3<br>shap=-33.916",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>PassengerClass=2<br>shap=-10.282",
-          "index=Bateman, Rev. Robert James<br>PassengerClass=2<br>shap=-7.037",
-          "index=Meo, Mr. Alfonzo<br>PassengerClass=3<br>shap=-13.708",
-          "index=Cribb, Mr. John Hatfield<br>PassengerClass=3<br>shap=-19.028",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>PassengerClass=1<br>shap=57.787",
-          "index=Van der hoef, Mr. Wyckoff<br>PassengerClass=1<br>shap=42.442",
-          "index=Sivola, Mr. Antti Wilhelm<br>PassengerClass=3<br>shap=-14.039",
-          "index=Klasen, Mr. Klas Albin<br>PassengerClass=3<br>shap=-19.458",
-          "index=Rood, Mr. Hugh Roscoe<br>PassengerClass=1<br>shap=39.262",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>PassengerClass=3<br>shap=-19.501",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>PassengerClass=1<br>shap=72.547",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>PassengerClass=3<br>shap=-13.733",
-          "index=Backstrom, Mr. Karl Alfred<br>PassengerClass=3<br>shap=-16.573",
-          "index=Blank, Mr. Henry<br>PassengerClass=1<br>shap=53.289",
-          "index=Ali, Mr. Ahmed<br>PassengerClass=3<br>shap=-14.03",
-          "index=Green, Mr. George Henry<br>PassengerClass=3<br>shap=-13.731",
-          "index=Nenkoff, Mr. Christo<br>PassengerClass=3<br>shap=-13.717",
-          "index=Asplund, Miss. Lillian Gertrud<br>PassengerClass=3<br>shap=-35.645",
-          "index=Harknett, Miss. Alice Phoebe<br>PassengerClass=3<br>shap=-17.834",
-          "index=Hunt, Mr. George Henry<br>PassengerClass=2<br>shap=-7.528",
-          "index=Reed, Mr. James George<br>PassengerClass=3<br>shap=-13.717",
-          "index=Stead, Mr. William Thomas<br>PassengerClass=1<br>shap=40.189",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>PassengerClass=1<br>shap=62.322",
-          "index=Parrish, Mrs. (Lutie Davis)<br>PassengerClass=2<br>shap=-13.947",
-          "index=Smith, Mr. Thomas<br>PassengerClass=3<br>shap=-15.195",
-          "index=Asplund, Master. Edvin Rojj Felix<br>PassengerClass=3<br>shap=-34.549",
-          "index=Healy, Miss. Hanora \"Nora\"<br>PassengerClass=3<br>shap=-19.078",
-          "index=Andrews, Miss. Kornelia Theodosia<br>PassengerClass=1<br>shap=48.521",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>PassengerClass=3<br>shap=-23.707",
-          "index=Smith, Mr. Richard William<br>PassengerClass=1<br>shap=39.262",
-          "index=Connolly, Miss. Kate<br>PassengerClass=3<br>shap=-19.173",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>PassengerClass=1<br>shap=66.183",
-          "index=Levy, Mr. Rene Jacques<br>PassengerClass=2<br>shap=-13.706",
-          "index=Lewy, Mr. Ervin G<br>PassengerClass=1<br>shap=49.157",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>PassengerClass=3<br>shap=-13.717",
-          "index=Sage, Mr. George John Jr<br>PassengerClass=3<br>shap=-29.987",
-          "index=Nysveen, Mr. Johan Hansen<br>PassengerClass=3<br>shap=-13.71",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>PassengerClass=1<br>shap=54.27",
-          "index=Denkoff, Mr. Mitto<br>PassengerClass=3<br>shap=-13.717",
-          "index=Burns, Miss. Elizabeth Margaret<br>PassengerClass=1<br>shap=63.731",
-          "index=Dimic, Mr. Jovan<br>PassengerClass=3<br>shap=-14.062",
-          "index=del Carlo, Mr. Sebastiano<br>PassengerClass=2<br>shap=-8.499",
-          "index=Beavan, Mr. William Thomas<br>PassengerClass=3<br>shap=-14.039",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>PassengerClass=1<br>shap=60.839",
-          "index=Widener, Mr. Harry Elkins<br>PassengerClass=1<br>shap=60.111",
-          "index=Gustafsson, Mr. Karl Gideon<br>PassengerClass=3<br>shap=-14.039",
-          "index=Plotcharsky, Mr. Vasil<br>PassengerClass=3<br>shap=-13.717",
-          "index=Goodwin, Master. Sidney Leonard<br>PassengerClass=3<br>shap=-32.253",
-          "index=Sadlier, Mr. Matthew<br>PassengerClass=3<br>shap=-15.195",
-          "index=Gustafsson, Mr. Johan Birger<br>PassengerClass=3<br>shap=-19.403",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>PassengerClass=3<br>shap=-20.483",
-          "index=Niskanen, Mr. Juha<br>PassengerClass=3<br>shap=-14.123",
-          "index=Minahan, Miss. Daisy E<br>PassengerClass=1<br>shap=56.978",
-          "index=Matthews, Mr. William John<br>PassengerClass=2<br>shap=-7.216",
-          "index=Charters, Mr. David<br>PassengerClass=3<br>shap=-15.401",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>PassengerClass=2<br>shap=-12.651",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>PassengerClass=2<br>shap=-13.117",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>PassengerClass=3<br>shap=-13.681",
-          "index=Peuchen, Major. Arthur Godfrey<br>PassengerClass=1<br>shap=41.069",
-          "index=Anderson, Mr. Harry<br>PassengerClass=1<br>shap=38.334",
-          "index=Milling, Mr. Jacob Christian<br>PassengerClass=2<br>shap=-7.087",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>PassengerClass=2<br>shap=-14.852",
-          "index=Karlsson, Mr. Nils August<br>PassengerClass=3<br>shap=-14.041",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>PassengerClass=2<br>shap=-8.662",
-          "index=Bishop, Mr. Dickinson H<br>PassengerClass=1<br>shap=72.136",
-          "index=Windelov, Mr. Einar<br>PassengerClass=3<br>shap=-14.039",
-          "index=Shellard, Mr. Frederick William<br>PassengerClass=3<br>shap=-13.717",
-          "index=Svensson, Mr. Olof<br>PassengerClass=3<br>shap=-14.03",
-          "index=O'Sullivan, Miss. Bridget Mary<br>PassengerClass=3<br>shap=-18.871",
-          "index=Laitinen, Miss. Kristina Sofia<br>PassengerClass=3<br>shap=-20.214",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>PassengerClass=1<br>shap=52.812",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>PassengerClass=1<br>shap=40.954",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>PassengerClass=2<br>shap=-12.148",
-          "index=Kassem, Mr. Fared<br>PassengerClass=3<br>shap=-16.6",
-          "index=Cacic, Miss. Marija<br>PassengerClass=3<br>shap=-17.928",
-          "index=Hart, Miss. Eva Miriam<br>PassengerClass=2<br>shap=-12.119",
-          "index=Butt, Major. Archibald Willingham<br>PassengerClass=1<br>shap=44.527",
-          "index=Beane, Mr. Edward<br>PassengerClass=2<br>shap=-7.271",
-          "index=Goldsmith, Mr. Frank John<br>PassengerClass=3<br>shap=-19.999",
-          "index=Ohman, Miss. Velin<br>PassengerClass=3<br>shap=-18.208",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>PassengerClass=1<br>shap=57.213",
-          "index=Morrow, Mr. Thomas Rowan<br>PassengerClass=3<br>shap=-15.195",
-          "index=Harris, Mr. George<br>PassengerClass=2<br>shap=-8.761",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>PassengerClass=1<br>shap=51.444",
-          "index=Patchett, Mr. George<br>PassengerClass=3<br>shap=-14.039",
-          "index=Ross, Mr. John Hugo<br>PassengerClass=1<br>shap=60.111",
-          "index=Murdlin, Mr. Joseph<br>PassengerClass=3<br>shap=-13.717",
-          "index=Bourke, Miss. Mary<br>PassengerClass=3<br>shap=-21.57",
-          "index=Boulos, Mr. Hanna<br>PassengerClass=3<br>shap=-16.6",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>PassengerClass=1<br>shap=52.02",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>PassengerClass=1<br>shap=68.814",
-          "index=Lindell, Mr. Edvard Bengtsson<br>PassengerClass=3<br>shap=-17.551",
-          "index=Daniel, Mr. Robert Williams<br>PassengerClass=1<br>shap=39.707",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>PassengerClass=2<br>shap=-13.914",
-          "index=Shutes, Miss. Elizabeth W<br>PassengerClass=1<br>shap=55.893",
-          "index=Jardin, Mr. Jose Neto<br>PassengerClass=3<br>shap=-13.717",
-          "index=Horgan, Mr. John<br>PassengerClass=3<br>shap=-15.195",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>PassengerClass=3<br>shap=-18.951",
-          "index=Yasbeck, Mr. Antoni<br>PassengerClass=3<br>shap=-18.672",
-          "index=Bostandyeff, Mr. Guentcho<br>PassengerClass=3<br>shap=-13.711",
-          "index=Lundahl, Mr. Johan Svensson<br>PassengerClass=3<br>shap=-13.731",
-          "index=Stahelin-Maeglin, Dr. Max<br>PassengerClass=1<br>shap=72.918",
-          "index=Willey, Mr. Edward<br>PassengerClass=3<br>shap=-13.717",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>PassengerClass=3<br>shap=-18.215",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>PassengerClass=3<br>shap=-19.137",
-          "index=Eitemiller, Mr. George Floyd<br>PassengerClass=2<br>shap=-7.49",
-          "index=Colley, Mr. Edward Pomeroy<br>PassengerClass=1<br>shap=37.318",
-          "index=Coleff, Mr. Peju<br>PassengerClass=3<br>shap=-14.825",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>PassengerClass=2<br>shap=-13.393",
-          "index=Davidson, Mr. Thornton<br>PassengerClass=1<br>shap=47.489",
-          "index=Turja, Miss. Anna Sofia<br>PassengerClass=3<br>shap=-18.393",
-          "index=Hassab, Mr. Hammad<br>PassengerClass=1<br>shap=48.65",
-          "index=Goodwin, Mr. Charles Edward<br>PassengerClass=3<br>shap=-32.236",
-          "index=Panula, Mr. Jaako Arnold<br>PassengerClass=3<br>shap=-34.382",
-          "index=Fischer, Mr. Eberhard Thelander<br>PassengerClass=3<br>shap=-14.226",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>PassengerClass=3<br>shap=-13.592",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>PassengerClass=1<br>shap=58.752",
-          "index=Hansen, Mr. Henrik Juul<br>PassengerClass=3<br>shap=-16.418",
-          "index=Calderhead, Mr. Edward Pennington<br>PassengerClass=1<br>shap=39.258",
-          "index=Klaber, Mr. Herman<br>PassengerClass=1<br>shap=44.188",
-          "index=Taylor, Mr. Elmer Zebley<br>PassengerClass=1<br>shap=45.972",
-          "index=Larsson, Mr. August Viktor<br>PassengerClass=3<br>shap=-13.751",
-          "index=Greenberg, Mr. Samuel<br>PassengerClass=2<br>shap=-7.037",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>PassengerClass=2<br>shap=-11.565",
-          "index=McEvoy, Mr. Michael<br>PassengerClass=3<br>shap=-15.195",
-          "index=Johnson, Mr. Malkolm Joackim<br>PassengerClass=3<br>shap=-14.042",
-          "index=Gillespie, Mr. William Henry<br>PassengerClass=2<br>shap=-8.119",
-          "index=Allen, Miss. Elisabeth Walton<br>PassengerClass=1<br>shap=54.511",
-          "index=Berriman, Mr. William John<br>PassengerClass=2<br>shap=-7.49",
-          "index=Troupiansky, Mr. Moses Aaron<br>PassengerClass=2<br>shap=-7.49",
-          "index=Williams, Mr. Leslie<br>PassengerClass=3<br>shap=-13.733",
-          "index=Ivanoff, Mr. Kanio<br>PassengerClass=3<br>shap=-13.717",
-          "index=McNamee, Mr. Neal<br>PassengerClass=3<br>shap=-16.694",
-          "index=Connaghton, Mr. Michael<br>PassengerClass=3<br>shap=-15.477",
-          "index=Carlsson, Mr. August Sigfrid<br>PassengerClass=3<br>shap=-13.733",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>PassengerClass=1<br>shap=56.632",
-          "index=Eklund, Mr. Hans Linus<br>PassengerClass=3<br>shap=-14.159",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>PassengerClass=1<br>shap=48.673",
-          "index=Moran, Mr. Daniel J<br>PassengerClass=3<br>shap=-17.704",
-          "index=Lievens, Mr. Rene Aime<br>PassengerClass=3<br>shap=-14.03",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>PassengerClass=1<br>shap=66.615",
-          "index=Ayoub, Miss. Banoura<br>PassengerClass=3<br>shap=-20.68",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>PassengerClass=1<br>shap=55.096",
-          "index=Johnston, Mr. Andrew G<br>PassengerClass=3<br>shap=-20.701",
-          "index=Ali, Mr. William<br>PassengerClass=3<br>shap=-13.937",
-          "index=Sjoblom, Miss. Anna Sofia<br>PassengerClass=3<br>shap=-18.393",
-          "index=Guggenheim, Mr. Benjamin<br>PassengerClass=1<br>shap=64.026",
-          "index=Leader, Dr. Alice (Farnham)<br>PassengerClass=1<br>shap=50.542",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>PassengerClass=2<br>shap=-12.246",
-          "index=Carter, Master. William Thornton II<br>PassengerClass=1<br>shap=65.178",
-          "index=Thomas, Master. Assad Alexander<br>PassengerClass=3<br>shap=-21.743",
-          "index=Johansson, Mr. Karl Johan<br>PassengerClass=3<br>shap=-13.819",
-          "index=Slemen, Mr. Richard James<br>PassengerClass=2<br>shap=-8.302",
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-          "index=Harris, Mr. Henry Birkhardt<br>No_of_relatives_on_board=1<br>shap=0.755",
-          "index=Skoog, Master. Harald<br>No_of_relatives_on_board=5<br>shap=30.691",
-          "index=Kink, Mr. Vincenz<br>No_of_relatives_on_board=2<br>shap=7.189",
-          "index=Hood, Mr. Ambrose Jr<br>No_of_relatives_on_board=0<br>shap=-8.02",
-          "index=Ilett, Miss. Bertha<br>No_of_relatives_on_board=0<br>shap=-7.32",
-          "index=Ford, Mr. William Neal<br>No_of_relatives_on_board=4<br>shap=27.414",
-          "index=Christmann, Mr. Emil<br>No_of_relatives_on_board=0<br>shap=-5.498",
-          "index=Andreasson, Mr. Paul Edvin<br>No_of_relatives_on_board=0<br>shap=-5.506",
-          "index=Chaffee, Mr. Herbert Fuller<br>No_of_relatives_on_board=1<br>shap=0.66",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>No_of_relatives_on_board=0<br>shap=-5.643",
-          "index=White, Mr. Richard Frasar<br>No_of_relatives_on_board=1<br>shap=1.692",
-          "index=Rekic, Mr. Tido<br>No_of_relatives_on_board=0<br>shap=-5.503",
-          "index=Moran, Miss. Bertha<br>No_of_relatives_on_board=1<br>shap=-0.472",
-          "index=Barton, Mr. David John<br>No_of_relatives_on_board=0<br>shap=-5.508",
-          "index=Jussila, Miss. Katriina<br>No_of_relatives_on_board=1<br>shap=-0.699",
-          "index=Pekoniemi, Mr. Edvard<br>No_of_relatives_on_board=0<br>shap=-5.506",
-          "index=Turpin, Mr. William John Robert<br>No_of_relatives_on_board=1<br>shap=0.811",
-          "index=Moore, Mr. Leonard Charles<br>No_of_relatives_on_board=0<br>shap=-5.643",
-          "index=Osen, Mr. Olaf Elon<br>No_of_relatives_on_board=0<br>shap=-5.485",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>No_of_relatives_on_board=4<br>shap=26.61",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>No_of_relatives_on_board=2<br>shap=8.648",
-          "index=Bateman, Rev. Robert James<br>No_of_relatives_on_board=0<br>shap=-8.301",
-          "index=Meo, Mr. Alfonzo<br>No_of_relatives_on_board=0<br>shap=-5.66",
-          "index=Cribb, Mr. John Hatfield<br>No_of_relatives_on_board=1<br>shap=-0.276",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>No_of_relatives_on_board=1<br>shap=-1.452",
-          "index=Van der hoef, Mr. Wyckoff<br>No_of_relatives_on_board=0<br>shap=-9.993",
-          "index=Sivola, Mr. Antti Wilhelm<br>No_of_relatives_on_board=0<br>shap=-5.506",
-          "index=Klasen, Mr. Klas Albin<br>No_of_relatives_on_board=2<br>shap=5.674",
-          "index=Rood, Mr. Hugh Roscoe<br>No_of_relatives_on_board=0<br>shap=-10.428",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>No_of_relatives_on_board=1<br>shap=-1.268",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>No_of_relatives_on_board=0<br>shap=-5.485",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>No_of_relatives_on_board=0<br>shap=-5.483",
-          "index=Backstrom, Mr. Karl Alfred<br>No_of_relatives_on_board=1<br>shap=-0.392",
-          "index=Blank, Mr. Henry<br>No_of_relatives_on_board=0<br>shap=-8.08",
-          "index=Ali, Mr. Ahmed<br>No_of_relatives_on_board=0<br>shap=-5.502",
-          "index=Green, Mr. George Henry<br>No_of_relatives_on_board=0<br>shap=-5.663",
-          "index=Nenkoff, Mr. Christo<br>No_of_relatives_on_board=0<br>shap=-5.643",
-          "index=Asplund, Miss. Lillian Gertrud<br>No_of_relatives_on_board=6<br>shap=29.077",
-          "index=Harknett, Miss. Alice Phoebe<br>No_of_relatives_on_board=0<br>shap=-5.388",
-          "index=Hunt, Mr. George Henry<br>No_of_relatives_on_board=0<br>shap=-8.124",
-          "index=Reed, Mr. James George<br>No_of_relatives_on_board=0<br>shap=-5.643",
-          "index=Stead, Mr. William Thomas<br>No_of_relatives_on_board=0<br>shap=-10.746",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>No_of_relatives_on_board=0<br>shap=-6.129",
-          "index=Parrish, Mrs. (Lutie Davis)<br>No_of_relatives_on_board=1<br>shap=1.594",
-          "index=Smith, Mr. Thomas<br>No_of_relatives_on_board=0<br>shap=-5.64",
-          "index=Asplund, Master. Edvin Rojj Felix<br>No_of_relatives_on_board=6<br>shap=29.396",
-          "index=Healy, Miss. Hanora \"Nora\"<br>No_of_relatives_on_board=0<br>shap=-5.029",
-          "index=Andrews, Miss. Kornelia Theodosia<br>No_of_relatives_on_board=1<br>shap=-2.93",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_relatives_on_board=2<br>shap=4.369",
-          "index=Smith, Mr. Richard William<br>No_of_relatives_on_board=0<br>shap=-10.428",
-          "index=Connolly, Miss. Kate<br>No_of_relatives_on_board=0<br>shap=-4.872",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_relatives_on_board=1<br>shap=-1.453",
-          "index=Levy, Mr. Rene Jacques<br>No_of_relatives_on_board=0<br>shap=-7.818",
-          "index=Lewy, Mr. Ervin G<br>No_of_relatives_on_board=0<br>shap=-9.003",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_relatives_on_board=0<br>shap=-5.643",
-          "index=Sage, Mr. George John Jr<br>No_of_relatives_on_board=10<br>shap=57.667",
-          "index=Nysveen, Mr. Johan Hansen<br>No_of_relatives_on_board=0<br>shap=-5.66",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_relatives_on_board=1<br>shap=-2.65",
-          "index=Denkoff, Mr. Mitto<br>No_of_relatives_on_board=0<br>shap=-5.643",
-          "index=Burns, Miss. Elizabeth Margaret<br>No_of_relatives_on_board=0<br>shap=-5.843",
-          "index=Dimic, Mr. Jovan<br>No_of_relatives_on_board=0<br>shap=-5.507",
-          "index=del Carlo, Mr. Sebastiano<br>No_of_relatives_on_board=1<br>shap=0.79",
-          "index=Beavan, Mr. William Thomas<br>No_of_relatives_on_board=0<br>shap=-5.506",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_relatives_on_board=1<br>shap=-2.162",
-          "index=Widener, Mr. Harry Elkins<br>No_of_relatives_on_board=2<br>shap=3.313",
-          "index=Gustafsson, Mr. Karl Gideon<br>No_of_relatives_on_board=0<br>shap=-5.506",
-          "index=Plotcharsky, Mr. Vasil<br>No_of_relatives_on_board=0<br>shap=-5.643",
-          "index=Goodwin, Master. Sidney Leonard<br>No_of_relatives_on_board=7<br>shap=45.231",
-          "index=Sadlier, Mr. Matthew<br>No_of_relatives_on_board=0<br>shap=-5.64",
-          "index=Gustafsson, Mr. Johan Birger<br>No_of_relatives_on_board=2<br>shap=7.274",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_relatives_on_board=2<br>shap=4.855",
-          "index=Niskanen, Mr. Juha<br>No_of_relatives_on_board=0<br>shap=-4.852",
-          "index=Minahan, Miss. Daisy E<br>No_of_relatives_on_board=1<br>shap=-2.547",
-          "index=Matthews, Mr. William John<br>No_of_relatives_on_board=0<br>shap=-8.077",
-          "index=Charters, Mr. David<br>No_of_relatives_on_board=0<br>shap=-5.456",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_relatives_on_board=0<br>shap=-7.533",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_relatives_on_board=2<br>shap=8.116",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>No_of_relatives_on_board=0<br>shap=-5.129",
-          "index=Peuchen, Major. Arthur Godfrey<br>No_of_relatives_on_board=0<br>shap=-10.329",
-          "index=Anderson, Mr. Harry<br>No_of_relatives_on_board=0<br>shap=-10.353",
-          "index=Milling, Mr. Jacob Christian<br>No_of_relatives_on_board=0<br>shap=-8.292",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_relatives_on_board=3<br>shap=10.435",
-          "index=Karlsson, Mr. Nils August<br>No_of_relatives_on_board=0<br>shap=-5.508",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_relatives_on_board=0<br>shap=-8.523",
-          "index=Bishop, Mr. Dickinson H<br>No_of_relatives_on_board=1<br>shap=0.74",
-          "index=Windelov, Mr. Einar<br>No_of_relatives_on_board=0<br>shap=-5.506",
-          "index=Shellard, Mr. Frederick William<br>No_of_relatives_on_board=0<br>shap=-5.643",
-          "index=Svensson, Mr. Olof<br>No_of_relatives_on_board=0<br>shap=-5.502",
-          "index=O'Sullivan, Miss. Bridget Mary<br>No_of_relatives_on_board=0<br>shap=-5.401",
-          "index=Laitinen, Miss. Kristina Sofia<br>No_of_relatives_on_board=0<br>shap=-5.185",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>No_of_relatives_on_board=1<br>shap=0.663",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_relatives_on_board=0<br>shap=-10.427",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_relatives_on_board=1<br>shap=0.297",
-          "index=Kassem, Mr. Fared<br>No_of_relatives_on_board=0<br>shap=-5.49",
-          "index=Cacic, Miss. Marija<br>No_of_relatives_on_board=0<br>shap=-5.236",
-          "index=Hart, Miss. Eva Miriam<br>No_of_relatives_on_board=2<br>shap=7.425",
-          "index=Butt, Major. Archibald Willingham<br>No_of_relatives_on_board=0<br>shap=-9.768",
-          "index=Beane, Mr. Edward<br>No_of_relatives_on_board=1<br>shap=0.52",
-          "index=Goldsmith, Mr. Frank John<br>No_of_relatives_on_board=2<br>shap=5.664",
-          "index=Ohman, Miss. Velin<br>No_of_relatives_on_board=0<br>shap=-4.877",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_relatives_on_board=2<br>shap=1.937",
-          "index=Morrow, Mr. Thomas Rowan<br>No_of_relatives_on_board=0<br>shap=-5.64",
-          "index=Harris, Mr. George<br>No_of_relatives_on_board=0<br>shap=-8.041",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_relatives_on_board=2<br>shap=6.057",
-          "index=Patchett, Mr. George<br>No_of_relatives_on_board=0<br>shap=-5.506",
-          "index=Ross, Mr. John Hugo<br>No_of_relatives_on_board=0<br>shap=-8.472",
-          "index=Murdlin, Mr. Joseph<br>No_of_relatives_on_board=0<br>shap=-5.643",
-          "index=Bourke, Miss. Mary<br>No_of_relatives_on_board=2<br>shap=5.323",
-          "index=Boulos, Mr. Hanna<br>No_of_relatives_on_board=0<br>shap=-5.49",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_relatives_on_board=1<br>shap=-0.301",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_relatives_on_board=0<br>shap=-7.68",
-          "index=Lindell, Mr. Edvard Bengtsson<br>No_of_relatives_on_board=1<br>shap=-0.367",
-          "index=Daniel, Mr. Robert Williams<br>No_of_relatives_on_board=0<br>shap=-10.426",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_relatives_on_board=3<br>shap=10.001",
-          "index=Shutes, Miss. Elizabeth W<br>No_of_relatives_on_board=0<br>shap=-7.43",
-          "index=Jardin, Mr. Jose Neto<br>No_of_relatives_on_board=0<br>shap=-5.643",
-          "index=Horgan, Mr. John<br>No_of_relatives_on_board=0<br>shap=-5.64",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_relatives_on_board=1<br>shap=-0.839",
-          "index=Yasbeck, Mr. Antoni<br>No_of_relatives_on_board=1<br>shap=-0.351",
-          "index=Bostandyeff, Mr. Guentcho<br>No_of_relatives_on_board=0<br>shap=-5.422",
-          "index=Lundahl, Mr. Johan Svensson<br>No_of_relatives_on_board=0<br>shap=-5.663",
-          "index=Stahelin-Maeglin, Dr. Max<br>No_of_relatives_on_board=0<br>shap=-6.771",
-          "index=Willey, Mr. Edward<br>No_of_relatives_on_board=0<br>shap=-5.643",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>No_of_relatives_on_board=0<br>shap=-4.878",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>No_of_relatives_on_board=0<br>shap=-5.18",
-          "index=Eitemiller, Mr. George Floyd<br>No_of_relatives_on_board=0<br>shap=-8.04",
-          "index=Colley, Mr. Edward Pomeroy<br>No_of_relatives_on_board=0<br>shap=-10.785",
-          "index=Coleff, Mr. Peju<br>No_of_relatives_on_board=0<br>shap=-5.467",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_relatives_on_board=2<br>shap=8.087",
-          "index=Davidson, Mr. Thornton<br>No_of_relatives_on_board=1<br>shap=-0.021",
-          "index=Turja, Miss. Anna Sofia<br>No_of_relatives_on_board=0<br>shap=-4.837",
-          "index=Hassab, Mr. Hammad<br>No_of_relatives_on_board=0<br>shap=-8.05",
-          "index=Goodwin, Mr. Charles Edward<br>No_of_relatives_on_board=7<br>shap=45.284",
-          "index=Panula, Mr. Jaako Arnold<br>No_of_relatives_on_board=5<br>shap=30.819",
-          "index=Fischer, Mr. Eberhard Thelander<br>No_of_relatives_on_board=0<br>shap=-5.468",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_relatives_on_board=0<br>shap=-5.491",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_relatives_on_board=1<br>shap=-2.6",
-          "index=Hansen, Mr. Henrik Juul<br>No_of_relatives_on_board=1<br>shap=-0.538",
-          "index=Calderhead, Mr. Edward Pennington<br>No_of_relatives_on_board=0<br>shap=-10.272",
-          "index=Klaber, Mr. Herman<br>No_of_relatives_on_board=0<br>shap=-10.088",
-          "index=Taylor, Mr. Elmer Zebley<br>No_of_relatives_on_board=1<br>shap=0.0",
-          "index=Larsson, Mr. August Viktor<br>No_of_relatives_on_board=0<br>shap=-5.498",
-          "index=Greenberg, Mr. Samuel<br>No_of_relatives_on_board=0<br>shap=-8.301",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_relatives_on_board=0<br>shap=-7.536",
-          "index=McEvoy, Mr. Michael<br>No_of_relatives_on_board=0<br>shap=-5.64",
-          "index=Johnson, Mr. Malkolm Joackim<br>No_of_relatives_on_board=0<br>shap=-5.47",
-          "index=Gillespie, Mr. William Henry<br>No_of_relatives_on_board=0<br>shap=-8.116",
-          "index=Allen, Miss. Elisabeth Walton<br>No_of_relatives_on_board=0<br>shap=-7.705",
-          "index=Berriman, Mr. William John<br>No_of_relatives_on_board=0<br>shap=-8.04",
-          "index=Troupiansky, Mr. Moses Aaron<br>No_of_relatives_on_board=0<br>shap=-8.04",
-          "index=Williams, Mr. Leslie<br>No_of_relatives_on_board=0<br>shap=-5.483",
-          "index=Ivanoff, Mr. Kanio<br>No_of_relatives_on_board=0<br>shap=-5.643",
-          "index=McNamee, Mr. Neal<br>No_of_relatives_on_board=1<br>shap=-0.39",
-          "index=Connaghton, Mr. Michael<br>No_of_relatives_on_board=0<br>shap=-5.45",
-          "index=Carlsson, Mr. August Sigfrid<br>No_of_relatives_on_board=0<br>shap=-5.483",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>No_of_relatives_on_board=0<br>shap=-7.177",
-          "index=Eklund, Mr. Hans Linus<br>No_of_relatives_on_board=0<br>shap=-5.485",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>No_of_relatives_on_board=1<br>shap=-2.916",
-          "index=Moran, Mr. Daniel J<br>No_of_relatives_on_board=1<br>shap=0.437",
-          "index=Lievens, Mr. Rene Aime<br>No_of_relatives_on_board=0<br>shap=-5.502",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>No_of_relatives_on_board=1<br>shap=-0.51",
-          "index=Ayoub, Miss. Banoura<br>No_of_relatives_on_board=0<br>shap=-4.659",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>No_of_relatives_on_board=1<br>shap=-2.516",
-          "index=Johnston, Mr. Andrew G<br>No_of_relatives_on_board=3<br>shap=8.295",
-          "index=Ali, Mr. William<br>No_of_relatives_on_board=0<br>shap=-5.491",
-          "index=Sjoblom, Miss. Anna Sofia<br>No_of_relatives_on_board=0<br>shap=-4.837",
-          "index=Guggenheim, Mr. Benjamin<br>No_of_relatives_on_board=0<br>shap=-7.862",
-          "index=Leader, Dr. Alice (Farnham)<br>No_of_relatives_on_board=0<br>shap=-7.174",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>No_of_relatives_on_board=2<br>shap=8.079",
-          "index=Carter, Master. William Thornton II<br>No_of_relatives_on_board=3<br>shap=8.644",
-          "index=Thomas, Master. Assad Alexander<br>No_of_relatives_on_board=1<br>shap=-0.789",
-          "index=Johansson, Mr. Karl Johan<br>No_of_relatives_on_board=0<br>shap=-5.496",
-          "index=Slemen, Mr. Richard James<br>No_of_relatives_on_board=0<br>shap=-8.082",
-          "index=Tomlin, Mr. Ernest Portage<br>No_of_relatives_on_board=0<br>shap=-5.495",
-          "index=McCormack, Mr. Thomas Joseph<br>No_of_relatives_on_board=0<br>shap=-5.155",
-          "index=Richards, Master. George Sibley<br>No_of_relatives_on_board=2<br>shap=7.459",
-          "index=Mudd, Mr. Thomas Charles<br>No_of_relatives_on_board=0<br>shap=-7.792",
-          "index=Lemberopolous, Mr. Peter L<br>No_of_relatives_on_board=0<br>shap=-5.252",
-          "index=Sage, Mr. Douglas Bullen<br>No_of_relatives_on_board=10<br>shap=57.667",
-          "index=Boulos, Miss. Nourelain<br>No_of_relatives_on_board=2<br>shap=5.04",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>No_of_relatives_on_board=1<br>shap=-1.127",
-          "index=Razi, Mr. Raihed<br>No_of_relatives_on_board=0<br>shap=-5.49",
-          "index=Johnson, Master. Harold Theodor<br>No_of_relatives_on_board=2<br>shap=4.584",
-          "index=Carlsson, Mr. Frans Olof<br>No_of_relatives_on_board=0<br>shap=-9.444",
-          "index=Gustafsson, Mr. Alfred Ossian<br>No_of_relatives_on_board=0<br>shap=-5.506",
-          "index=Montvila, Rev. Juozas<br>No_of_relatives_on_board=0<br>shap=-8.028"
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-          "index=Cribb, Mr. John Hatfield<br>Embarked_Cherbourg=0<br>shap=-0.556",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Embarked_Cherbourg=0<br>shap=-1.859",
-          "index=Van der hoef, Mr. Wyckoff<br>Embarked_Cherbourg=0<br>shap=-8.091",
-          "index=Sivola, Mr. Antti Wilhelm<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Klasen, Mr. Klas Albin<br>Embarked_Cherbourg=0<br>shap=-0.46",
-          "index=Rood, Mr. Hugh Roscoe<br>Embarked_Cherbourg=0<br>shap=-2.853",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Embarked_Cherbourg=0<br>shap=-0.552",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Embarked_Cherbourg=1<br>shap=8.633",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Embarked_Cherbourg=0<br>shap=-0.634",
-          "index=Backstrom, Mr. Karl Alfred<br>Embarked_Cherbourg=0<br>shap=-0.6",
-          "index=Blank, Mr. Henry<br>Embarked_Cherbourg=1<br>shap=7.818",
-          "index=Ali, Mr. Ahmed<br>Embarked_Cherbourg=0<br>shap=-0.64",
-          "index=Green, Mr. George Henry<br>Embarked_Cherbourg=0<br>shap=-0.658",
-          "index=Nenkoff, Mr. Christo<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Asplund, Miss. Lillian Gertrud<br>Embarked_Cherbourg=0<br>shap=-0.312",
-          "index=Harknett, Miss. Alice Phoebe<br>Embarked_Cherbourg=0<br>shap=-0.558",
-          "index=Hunt, Mr. George Henry<br>Embarked_Cherbourg=0<br>shap=-0.661",
-          "index=Reed, Mr. James George<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Stead, Mr. William Thomas<br>Embarked_Cherbourg=0<br>shap=-2.621",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Embarked_Cherbourg=1<br>shap=4.281",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Embarked_Cherbourg=0<br>shap=-0.529",
-          "index=Smith, Mr. Thomas<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Embarked_Cherbourg=0<br>shap=-0.344",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Embarked_Cherbourg=0<br>shap=-0.604",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Embarked_Cherbourg=0<br>shap=-3.167",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Embarked_Cherbourg=0<br>shap=-1.023",
-          "index=Smith, Mr. Richard William<br>Embarked_Cherbourg=0<br>shap=-2.853",
-          "index=Connolly, Miss. Kate<br>Embarked_Cherbourg=0<br>shap=-0.604",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Embarked_Cherbourg=1<br>shap=6.958",
-          "index=Levy, Mr. Rene Jacques<br>Embarked_Cherbourg=1<br>shap=1.982",
-          "index=Lewy, Mr. Ervin G<br>Embarked_Cherbourg=1<br>shap=4.723",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Sage, Mr. George John Jr<br>Embarked_Cherbourg=0<br>shap=-0.351",
-          "index=Nysveen, Mr. Johan Hansen<br>Embarked_Cherbourg=0<br>shap=-0.652",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Embarked_Cherbourg=0<br>shap=-2.251",
-          "index=Denkoff, Mr. Mitto<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Burns, Miss. Elizabeth Margaret<br>Embarked_Cherbourg=1<br>shap=6.553",
-          "index=Dimic, Mr. Jovan<br>Embarked_Cherbourg=0<br>shap=-0.731",
-          "index=del Carlo, Mr. Sebastiano<br>Embarked_Cherbourg=1<br>shap=0.85",
-          "index=Beavan, Mr. William Thomas<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Embarked_Cherbourg=1<br>shap=3.533",
-          "index=Widener, Mr. Harry Elkins<br>Embarked_Cherbourg=1<br>shap=1.399",
-          "index=Gustafsson, Mr. Karl Gideon<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Plotcharsky, Mr. Vasil<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Goodwin, Master. Sidney Leonard<br>Embarked_Cherbourg=0<br>shap=-0.344",
-          "index=Sadlier, Mr. Matthew<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Gustafsson, Mr. Johan Birger<br>Embarked_Cherbourg=0<br>shap=-0.516",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Embarked_Cherbourg=0<br>shap=-0.435",
-          "index=Niskanen, Mr. Juha<br>Embarked_Cherbourg=0<br>shap=-0.836",
-          "index=Minahan, Miss. Daisy E<br>Embarked_Cherbourg=0<br>shap=-2.683",
-          "index=Matthews, Mr. William John<br>Embarked_Cherbourg=0<br>shap=-0.651",
-          "index=Charters, Mr. David<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Embarked_Cherbourg=0<br>shap=-0.605",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Embarked_Cherbourg=0<br>shap=-0.476",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Embarked_Cherbourg=0<br>shap=-0.691",
-          "index=Peuchen, Major. Arthur Godfrey<br>Embarked_Cherbourg=0<br>shap=-3.855",
-          "index=Anderson, Mr. Harry<br>Embarked_Cherbourg=0<br>shap=-4.125",
-          "index=Milling, Mr. Jacob Christian<br>Embarked_Cherbourg=0<br>shap=-0.658",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Embarked_Cherbourg=0<br>shap=-0.458",
-          "index=Karlsson, Mr. Nils August<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Embarked_Cherbourg=0<br>shap=-0.649",
-          "index=Bishop, Mr. Dickinson H<br>Embarked_Cherbourg=1<br>shap=11.199",
-          "index=Windelov, Mr. Einar<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Shellard, Mr. Frederick William<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Svensson, Mr. Olof<br>Embarked_Cherbourg=0<br>shap=-0.64",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Embarked_Cherbourg=0<br>shap=-0.558",
-          "index=Laitinen, Miss. Kristina Sofia<br>Embarked_Cherbourg=0<br>shap=-0.776",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Embarked_Cherbourg=1<br>shap=3.084",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Embarked_Cherbourg=0<br>shap=-3.392",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Embarked_Cherbourg=0<br>shap=-1.152",
-          "index=Kassem, Mr. Fared<br>Embarked_Cherbourg=1<br>shap=1.014",
-          "index=Cacic, Miss. Marija<br>Embarked_Cherbourg=0<br>shap=-0.57",
-          "index=Hart, Miss. Eva Miriam<br>Embarked_Cherbourg=0<br>shap=-0.44",
-          "index=Butt, Major. Archibald Willingham<br>Embarked_Cherbourg=0<br>shap=-8.958",
-          "index=Beane, Mr. Edward<br>Embarked_Cherbourg=0<br>shap=-0.614",
-          "index=Goldsmith, Mr. Frank John<br>Embarked_Cherbourg=0<br>shap=-0.487",
-          "index=Ohman, Miss. Velin<br>Embarked_Cherbourg=0<br>shap=-0.604",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Embarked_Cherbourg=0<br>shap=-2.503",
-          "index=Morrow, Mr. Thomas Rowan<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Harris, Mr. George<br>Embarked_Cherbourg=0<br>shap=-0.745",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Embarked_Cherbourg=0<br>shap=-2.282",
-          "index=Patchett, Mr. George<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Ross, Mr. John Hugo<br>Embarked_Cherbourg=1<br>shap=13.473",
-          "index=Murdlin, Mr. Joseph<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Bourke, Miss. Mary<br>Embarked_Cherbourg=0<br>shap=-0.418",
-          "index=Boulos, Mr. Hanna<br>Embarked_Cherbourg=1<br>shap=1.014",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Embarked_Cherbourg=1<br>shap=5.11",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Embarked_Cherbourg=1<br>shap=15.616",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Embarked_Cherbourg=0<br>shap=-1.16",
-          "index=Daniel, Mr. Robert Williams<br>Embarked_Cherbourg=0<br>shap=-3.329",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Embarked_Cherbourg=1<br>shap=0.511",
-          "index=Shutes, Miss. Elizabeth W<br>Embarked_Cherbourg=0<br>shap=-3.879",
-          "index=Jardin, Mr. Jose Neto<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Horgan, Mr. John<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Embarked_Cherbourg=0<br>shap=-0.537",
-          "index=Yasbeck, Mr. Antoni<br>Embarked_Cherbourg=1<br>shap=0.898",
-          "index=Bostandyeff, Mr. Guentcho<br>Embarked_Cherbourg=0<br>shap=-0.634",
-          "index=Lundahl, Mr. Johan Svensson<br>Embarked_Cherbourg=0<br>shap=-0.658",
-          "index=Stahelin-Maeglin, Dr. Max<br>Embarked_Cherbourg=1<br>shap=15.03",
-          "index=Willey, Mr. Edward<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Embarked_Cherbourg=0<br>shap=-0.606",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Embarked_Cherbourg=0<br>shap=-0.559",
-          "index=Eitemiller, Mr. George Floyd<br>Embarked_Cherbourg=0<br>shap=-0.641",
-          "index=Colley, Mr. Edward Pomeroy<br>Embarked_Cherbourg=0<br>shap=-3.012",
-          "index=Coleff, Mr. Peju<br>Embarked_Cherbourg=0<br>shap=-1.216",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Embarked_Cherbourg=0<br>shap=-0.559",
-          "index=Davidson, Mr. Thornton<br>Embarked_Cherbourg=0<br>shap=-9.701",
-          "index=Turja, Miss. Anna Sofia<br>Embarked_Cherbourg=0<br>shap=-0.604",
-          "index=Hassab, Mr. Hammad<br>Embarked_Cherbourg=1<br>shap=5.565",
-          "index=Goodwin, Mr. Charles Edward<br>Embarked_Cherbourg=0<br>shap=-0.344",
-          "index=Panula, Mr. Jaako Arnold<br>Embarked_Cherbourg=0<br>shap=-0.328",
-          "index=Fischer, Mr. Eberhard Thelander<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Embarked_Cherbourg=0<br>shap=-0.731",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Embarked_Cherbourg=1<br>shap=3.175",
-          "index=Hansen, Mr. Henrik Juul<br>Embarked_Cherbourg=0<br>shap=-0.583",
-          "index=Calderhead, Mr. Edward Pennington<br>Embarked_Cherbourg=0<br>shap=-4.809",
-          "index=Klaber, Mr. Herman<br>Embarked_Cherbourg=0<br>shap=-2.48",
-          "index=Taylor, Mr. Elmer Zebley<br>Embarked_Cherbourg=0<br>shap=-2.954",
-          "index=Larsson, Mr. August Viktor<br>Embarked_Cherbourg=0<br>shap=-0.634",
-          "index=Greenberg, Mr. Samuel<br>Embarked_Cherbourg=0<br>shap=-0.658",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Embarked_Cherbourg=0<br>shap=-0.605",
-          "index=McEvoy, Mr. Michael<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Johnson, Mr. Malkolm Joackim<br>Embarked_Cherbourg=0<br>shap=-0.66",
-          "index=Gillespie, Mr. William Henry<br>Embarked_Cherbourg=0<br>shap=-1.113",
-          "index=Allen, Miss. Elisabeth Walton<br>Embarked_Cherbourg=0<br>shap=-5.374",
-          "index=Berriman, Mr. William John<br>Embarked_Cherbourg=0<br>shap=-0.641",
-          "index=Troupiansky, Mr. Moses Aaron<br>Embarked_Cherbourg=0<br>shap=-0.641",
-          "index=Williams, Mr. Leslie<br>Embarked_Cherbourg=0<br>shap=-0.634",
-          "index=Ivanoff, Mr. Kanio<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=McNamee, Mr. Neal<br>Embarked_Cherbourg=0<br>shap=-0.585",
-          "index=Connaghton, Mr. Michael<br>Embarked_Cherbourg=0<br>shap=-0.65",
-          "index=Carlsson, Mr. August Sigfrid<br>Embarked_Cherbourg=0<br>shap=-0.634",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Embarked_Cherbourg=0<br>shap=-6.577",
-          "index=Eklund, Mr. Hans Linus<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Embarked_Cherbourg=0<br>shap=-3.302",
-          "index=Moran, Mr. Daniel J<br>Embarked_Cherbourg=0<br>shap=-0.584",
-          "index=Lievens, Mr. Rene Aime<br>Embarked_Cherbourg=0<br>shap=-0.64",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Embarked_Cherbourg=0<br>shap=-4.947",
-          "index=Ayoub, Miss. Banoura<br>Embarked_Cherbourg=1<br>shap=0.948",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Embarked_Cherbourg=0<br>shap=-4.806",
-          "index=Johnston, Mr. Andrew G<br>Embarked_Cherbourg=0<br>shap=-0.426",
-          "index=Ali, Mr. William<br>Embarked_Cherbourg=0<br>shap=-0.64",
-          "index=Sjoblom, Miss. Anna Sofia<br>Embarked_Cherbourg=0<br>shap=-0.604",
-          "index=Guggenheim, Mr. Benjamin<br>Embarked_Cherbourg=1<br>shap=13.08",
-          "index=Leader, Dr. Alice (Farnham)<br>Embarked_Cherbourg=0<br>shap=-3.6",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Embarked_Cherbourg=0<br>shap=-0.45",
-          "index=Carter, Master. William Thornton II<br>Embarked_Cherbourg=0<br>shap=-6.22",
-          "index=Thomas, Master. Assad Alexander<br>Embarked_Cherbourg=1<br>shap=0.854",
-          "index=Johansson, Mr. Karl Johan<br>Embarked_Cherbourg=0<br>shap=-0.65",
-          "index=Slemen, Mr. Richard James<br>Embarked_Cherbourg=0<br>shap=-1.216",
-          "index=Tomlin, Mr. Ernest Portage<br>Embarked_Cherbourg=0<br>shap=-0.65",
-          "index=McCormack, Mr. Thomas Joseph<br>Embarked_Cherbourg=0<br>shap=-0.691",
-          "index=Richards, Master. George Sibley<br>Embarked_Cherbourg=0<br>shap=-0.488",
-          "index=Mudd, Mr. Thomas Charles<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Lemberopolous, Mr. Peter L<br>Embarked_Cherbourg=1<br>shap=1.73",
-          "index=Sage, Mr. Douglas Bullen<br>Embarked_Cherbourg=0<br>shap=-0.351",
-          "index=Boulos, Miss. Nourelain<br>Embarked_Cherbourg=1<br>shap=0.587",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Embarked_Cherbourg=0<br>shap=-0.503",
-          "index=Razi, Mr. Raihed<br>Embarked_Cherbourg=1<br>shap=1.014",
-          "index=Johnson, Master. Harold Theodor<br>Embarked_Cherbourg=0<br>shap=-0.479",
-          "index=Carlsson, Mr. Frans Olof<br>Embarked_Cherbourg=0<br>shap=-10.173",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Embarked_Cherbourg=0<br>shap=-0.639",
-          "index=Montvila, Rev. Juozas<br>Embarked_Cherbourg=0<br>shap=-0.634"
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-          "index=Plotcharsky, Mr. Vasil<br>Deck_B=0<br>shap=-0.49",
-          "index=Goodwin, Master. Sidney Leonard<br>Deck_B=0<br>shap=-0.347",
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-          "index=Matthews, Mr. William John<br>Deck_B=0<br>shap=-0.487",
-          "index=Charters, Mr. David<br>Deck_B=0<br>shap=-0.472",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Deck_B=0<br>shap=-0.37",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Deck_B=0<br>shap=-0.456",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Deck_B=0<br>shap=-0.585",
-          "index=Peuchen, Major. Arthur Godfrey<br>Deck_B=0<br>shap=-3.543",
-          "index=Anderson, Mr. Harry<br>Deck_B=0<br>shap=-3.628",
-          "index=Milling, Mr. Jacob Christian<br>Deck_B=0<br>shap=-0.5",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Deck_B=0<br>shap=-0.383",
-          "index=Karlsson, Mr. Nils August<br>Deck_B=0<br>shap=-0.47",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Deck_B=0<br>shap=-0.49",
-          "index=Bishop, Mr. Dickinson H<br>Deck_B=1<br>shap=24.095",
-          "index=Windelov, Mr. Einar<br>Deck_B=0<br>shap=-0.47",
-          "index=Shellard, Mr. Frederick William<br>Deck_B=0<br>shap=-0.49",
-          "index=Svensson, Mr. Olof<br>Deck_B=0<br>shap=-0.466",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Deck_B=0<br>shap=-0.361",
-          "index=Laitinen, Miss. Kristina Sofia<br>Deck_B=0<br>shap=-0.378",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Deck_B=0<br>shap=-5.051",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Deck_B=0<br>shap=-3.074",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Deck_B=0<br>shap=-0.417",
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-          "index=Cacic, Miss. Marija<br>Deck_B=0<br>shap=-0.346",
-          "index=Hart, Miss. Eva Miriam<br>Deck_B=0<br>shap=-0.439",
-          "index=Butt, Major. Archibald Willingham<br>Deck_B=1<br>shap=9.202",
-          "index=Beane, Mr. Edward<br>Deck_B=0<br>shap=-0.561",
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-          "index=Ohman, Miss. Velin<br>Deck_B=0<br>shap=-0.37",
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-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>No_of_parents_plus_children_on_board=0<br>shap=-3.571",
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-          "index=Levy, Mr. Rene Jacques<br>No_of_parents_plus_children_on_board=0<br>shap=0.264",
-          "index=Lewy, Mr. Ervin G<br>No_of_parents_plus_children_on_board=0<br>shap=-3.585",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Sage, Mr. George John Jr<br>No_of_parents_plus_children_on_board=2<br>shap=2.808",
-          "index=Nysveen, Mr. Johan Hansen<br>No_of_parents_plus_children_on_board=0<br>shap=-0.488",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_parents_plus_children_on_board=0<br>shap=-2.467",
-          "index=Denkoff, Mr. Mitto<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Burns, Miss. Elizabeth Margaret<br>No_of_parents_plus_children_on_board=0<br>shap=-1.274",
-          "index=Dimic, Mr. Jovan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.473",
-          "index=del Carlo, Mr. Sebastiano<br>No_of_parents_plus_children_on_board=0<br>shap=0.186",
-          "index=Beavan, Mr. William Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_parents_plus_children_on_board=0<br>shap=-1.958",
-          "index=Widener, Mr. Harry Elkins<br>No_of_parents_plus_children_on_board=2<br>shap=11.769",
-          "index=Gustafsson, Mr. Karl Gideon<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Plotcharsky, Mr. Vasil<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Goodwin, Master. Sidney Leonard<br>No_of_parents_plus_children_on_board=2<br>shap=2.689",
-          "index=Sadlier, Mr. Matthew<br>No_of_parents_plus_children_on_board=0<br>shap=-0.479",
-          "index=Gustafsson, Mr. Johan Birger<br>No_of_parents_plus_children_on_board=0<br>shap=0.313",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_parents_plus_children_on_board=2<br>shap=1.659",
-          "index=Niskanen, Mr. Juha<br>No_of_parents_plus_children_on_board=0<br>shap=-0.436",
-          "index=Minahan, Miss. Daisy E<br>No_of_parents_plus_children_on_board=0<br>shap=-3.452",
-          "index=Matthews, Mr. William John<br>No_of_parents_plus_children_on_board=0<br>shap=0.05",
-          "index=Charters, Mr. David<br>No_of_parents_plus_children_on_board=0<br>shap=-0.478",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_parents_plus_children_on_board=0<br>shap=0.312",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_parents_plus_children_on_board=1<br>shap=0.548",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>No_of_parents_plus_children_on_board=0<br>shap=-0.477",
-          "index=Peuchen, Major. Arthur Godfrey<br>No_of_parents_plus_children_on_board=0<br>shap=-4.03",
-          "index=Anderson, Mr. Harry<br>No_of_parents_plus_children_on_board=0<br>shap=-3.868",
-          "index=Milling, Mr. Jacob Christian<br>No_of_parents_plus_children_on_board=0<br>shap=0.154",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_parents_plus_children_on_board=2<br>shap=1.126",
-          "index=Karlsson, Mr. Nils August<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.132",
-          "index=Bishop, Mr. Dickinson H<br>No_of_parents_plus_children_on_board=0<br>shap=-4.326",
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-          "index=Shellard, Mr. Frederick William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.509",
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-         "name": "Survived",
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-         "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Survived=1<br>shap=2.166",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Survived=1<br>shap=1.06",
-          "index=Palsson, Master. Gosta Leonard<br>Survived=0<br>shap=-0.334",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Survived=1<br>shap=0.575",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Survived=1<br>shap=0.464",
-          "index=Saundercock, Mr. William Henry<br>Survived=0<br>shap=-0.855",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Survived=0<br>shap=-0.711",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Survived=1<br>shap=0.379",
-          "index=Glynn, Miss. Mary Agatha<br>Survived=1<br>shap=1.322",
-          "index=Meyer, Mr. Edgar Joseph<br>Survived=0<br>shap=-2.659",
-          "index=Kraeff, Mr. Theodor<br>Survived=0<br>shap=-0.994",
-          "index=Devaney, Miss. Margaret Delia<br>Survived=1<br>shap=1.275",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Survived=0<br>shap=-0.461",
-          "index=Rugg, Miss. Emily<br>Survived=1<br>shap=0.643",
-          "index=Harris, Mr. Henry Birkhardt<br>Survived=0<br>shap=-1.154",
-          "index=Skoog, Master. Harald<br>Survived=0<br>shap=-0.311",
-          "index=Kink, Mr. Vincenz<br>Survived=0<br>shap=-0.482",
-          "index=Hood, Mr. Ambrose Jr<br>Survived=0<br>shap=-0.567",
-          "index=Ilett, Miss. Bertha<br>Survived=1<br>shap=0.643",
-          "index=Ford, Mr. William Neal<br>Survived=0<br>shap=-0.327",
-          "index=Christmann, Mr. Emil<br>Survived=0<br>shap=-0.855",
-          "index=Andreasson, Mr. Paul Edvin<br>Survived=0<br>shap=-0.855",
-          "index=Chaffee, Mr. Herbert Fuller<br>Survived=0<br>shap=-1.657",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Survived=0<br>shap=-0.868",
-          "index=White, Mr. Richard Frasar<br>Survived=0<br>shap=-0.331",
-          "index=Rekic, Mr. Tido<br>Survived=0<br>shap=-1.162",
-          "index=Moran, Miss. Bertha<br>Survived=1<br>shap=0.596",
-          "index=Barton, Mr. David John<br>Survived=0<br>shap=-0.855",
-          "index=Jussila, Miss. Katriina<br>Survived=0<br>shap=-0.461",
-          "index=Pekoniemi, Mr. Edvard<br>Survived=0<br>shap=-0.855",
-          "index=Turpin, Mr. William John Robert<br>Survived=0<br>shap=-0.427",
-          "index=Moore, Mr. Leonard Charles<br>Survived=0<br>shap=-0.868",
-          "index=Osen, Mr. Olaf Elon<br>Survived=0<br>shap=-0.855",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Survived=0<br>shap=-0.281",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Survived=0<br>shap=-0.266",
-          "index=Bateman, Rev. Robert James<br>Survived=0<br>shap=-0.721",
-          "index=Meo, Mr. Alfonzo<br>Survived=0<br>shap=-1.173",
-          "index=Cribb, Mr. John Hatfield<br>Survived=0<br>shap=-0.763",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Survived=1<br>shap=0.715",
-          "index=Van der hoef, Mr. Wyckoff<br>Survived=0<br>shap=-6.842",
-          "index=Sivola, Mr. Antti Wilhelm<br>Survived=0<br>shap=-0.855",
-          "index=Klasen, Mr. Klas Albin<br>Survived=0<br>shap=-0.393",
-          "index=Rood, Mr. Hugh Roscoe<br>Survived=0<br>shap=-1.597",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Survived=1<br>shap=0.658",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Survived=1<br>shap=4.415",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Survived=0<br>shap=-0.855",
-          "index=Backstrom, Mr. Karl Alfred<br>Survived=0<br>shap=-0.751",
-          "index=Blank, Mr. Henry<br>Survived=1<br>shap=3.881",
-          "index=Ali, Mr. Ahmed<br>Survived=0<br>shap=-0.855",
-          "index=Green, Mr. George Henry<br>Survived=0<br>shap=-1.171",
-          "index=Nenkoff, Mr. Christo<br>Survived=0<br>shap=-0.868",
-          "index=Asplund, Miss. Lillian Gertrud<br>Survived=1<br>shap=0.179",
-          "index=Harknett, Miss. Alice Phoebe<br>Survived=0<br>shap=-0.732",
-          "index=Hunt, Mr. George Henry<br>Survived=0<br>shap=-0.637",
-          "index=Reed, Mr. James George<br>Survived=0<br>shap=-0.868",
-          "index=Stead, Mr. William Thomas<br>Survived=0<br>shap=-1.735",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Survived=1<br>shap=2.104",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Survived=1<br>shap=0.626",
-          "index=Smith, Mr. Thomas<br>Survived=0<br>shap=-0.902",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Survived=1<br>shap=0.277",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Survived=1<br>shap=1.322",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Survived=1<br>shap=1.613",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Survived=1<br>shap=0.797",
-          "index=Smith, Mr. Richard William<br>Survived=0<br>shap=-1.597",
-          "index=Connolly, Miss. Kate<br>Survived=1<br>shap=1.275",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Survived=1<br>shap=1.564",
-          "index=Levy, Mr. Rene Jacques<br>Survived=0<br>shap=-0.849",
-          "index=Lewy, Mr. Ervin G<br>Survived=0<br>shap=-3.613",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Survived=0<br>shap=-0.868",
-          "index=Sage, Mr. George John Jr<br>Survived=0<br>shap=-0.363",
-          "index=Nysveen, Mr. Johan Hansen<br>Survived=0<br>shap=-1.173",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Survived=1<br>shap=1.352",
-          "index=Denkoff, Mr. Mitto<br>Survived=0<br>shap=-0.868",
-          "index=Burns, Miss. Elizabeth Margaret<br>Survived=1<br>shap=3.294",
-          "index=Dimic, Mr. Jovan<br>Survived=0<br>shap=-1.162",
-          "index=del Carlo, Mr. Sebastiano<br>Survived=0<br>shap=-0.525",
-          "index=Beavan, Mr. William Thomas<br>Survived=0<br>shap=-0.855",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Survived=1<br>shap=1.397",
-          "index=Widener, Mr. Harry Elkins<br>Survived=0<br>shap=-0.415",
-          "index=Gustafsson, Mr. Karl Gideon<br>Survived=0<br>shap=-0.855",
-          "index=Plotcharsky, Mr. Vasil<br>Survived=0<br>shap=-0.868",
-          "index=Goodwin, Master. Sidney Leonard<br>Survived=0<br>shap=-0.358",
-          "index=Sadlier, Mr. Matthew<br>Survived=0<br>shap=-0.902",
-          "index=Gustafsson, Mr. Johan Birger<br>Survived=0<br>shap=-0.482",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Survived=1<br>shap=0.557",
-          "index=Niskanen, Mr. Juha<br>Survived=1<br>shap=2.428",
-          "index=Minahan, Miss. Daisy E<br>Survived=1<br>shap=1.077",
-          "index=Matthews, Mr. William John<br>Survived=0<br>shap=-0.567",
-          "index=Charters, Mr. David<br>Survived=0<br>shap=-0.89",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Survived=1<br>shap=0.643",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Survived=1<br>shap=0.501",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Survived=1<br>shap=1.786",
-          "index=Peuchen, Major. Arthur Godfrey<br>Survived=1<br>shap=1.808",
-          "index=Anderson, Mr. Harry<br>Survived=1<br>shap=2.164",
-          "index=Milling, Mr. Jacob Christian<br>Survived=0<br>shap=-0.721",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Survived=1<br>shap=0.416",
-          "index=Karlsson, Mr. Nils August<br>Survived=0<br>shap=-0.855",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Survived=0<br>shap=-0.587",
-          "index=Bishop, Mr. Dickinson H<br>Survived=1<br>shap=4.639",
-          "index=Windelov, Mr. Einar<br>Survived=0<br>shap=-0.855",
-          "index=Shellard, Mr. Frederick William<br>Survived=0<br>shap=-0.868",
-          "index=Svensson, Mr. Olof<br>Survived=0<br>shap=-0.855",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Survived=0<br>shap=-0.714",
-          "index=Laitinen, Miss. Kristina Sofia<br>Survived=0<br>shap=-1.024",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Survived=0<br>shap=-2.065",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Survived=1<br>shap=1.675",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Survived=1<br>shap=0.646",
-          "index=Kassem, Mr. Fared<br>Survived=0<br>shap=-0.994",
-          "index=Cacic, Miss. Marija<br>Survived=0<br>shap=-0.719",
-          "index=Hart, Miss. Eva Miriam<br>Survived=1<br>shap=0.359",
-          "index=Butt, Major. Archibald Willingham<br>Survived=0<br>shap=-6.803",
-          "index=Beane, Mr. Edward<br>Survived=1<br>shap=0.684",
-          "index=Goldsmith, Mr. Frank John<br>Survived=0<br>shap=-0.492",
-          "index=Ohman, Miss. Velin<br>Survived=1<br>shap=1.361",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Survived=1<br>shap=1.104",
-          "index=Morrow, Mr. Thomas Rowan<br>Survived=0<br>shap=-0.902",
-          "index=Harris, Mr. George<br>Survived=1<br>shap=1.112",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Survived=1<br>shap=1.193",
-          "index=Patchett, Mr. George<br>Survived=0<br>shap=-0.855",
-          "index=Ross, Mr. John Hugo<br>Survived=0<br>shap=-4.986",
-          "index=Murdlin, Mr. Joseph<br>Survived=0<br>shap=-0.868",
-          "index=Bourke, Miss. Mary<br>Survived=0<br>shap=-0.332",
-          "index=Boulos, Mr. Hanna<br>Survived=0<br>shap=-0.994",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Survived=1<br>shap=3.017",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Survived=1<br>shap=4.122",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Survived=0<br>shap=-0.822",
-          "index=Daniel, Mr. Robert Williams<br>Survived=1<br>shap=1.678",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Survived=1<br>shap=0.333",
-          "index=Shutes, Miss. Elizabeth W<br>Survived=1<br>shap=1.791",
-          "index=Jardin, Mr. Jose Neto<br>Survived=0<br>shap=-0.868",
-          "index=Horgan, Mr. John<br>Survived=0<br>shap=-0.902",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Survived=0<br>shap=-0.462",
-          "index=Yasbeck, Mr. Antoni<br>Survived=0<br>shap=-0.631",
-          "index=Bostandyeff, Mr. Guentcho<br>Survived=0<br>shap=-0.855",
-          "index=Lundahl, Mr. Johan Svensson<br>Survived=0<br>shap=-1.171",
-          "index=Stahelin-Maeglin, Dr. Max<br>Survived=1<br>shap=5.499",
-          "index=Willey, Mr. Edward<br>Survived=0<br>shap=-0.868",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Survived=1<br>shap=1.361",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Survived=0<br>shap=-0.701",
-          "index=Eitemiller, Mr. George Floyd<br>Survived=0<br>shap=-0.567",
-          "index=Colley, Mr. Edward Pomeroy<br>Survived=0<br>shap=-2.22",
-          "index=Coleff, Mr. Peju<br>Survived=0<br>shap=-1.144",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Survived=1<br>shap=0.501",
-          "index=Davidson, Mr. Thornton<br>Survived=0<br>shap=-5.119",
-          "index=Turja, Miss. Anna Sofia<br>Survived=1<br>shap=1.361",
-          "index=Hassab, Mr. Hammad<br>Survived=1<br>shap=2.532",
-          "index=Goodwin, Mr. Charles Edward<br>Survived=0<br>shap=-0.359",
-          "index=Panula, Mr. Jaako Arnold<br>Survived=0<br>shap=-0.323",
-          "index=Fischer, Mr. Eberhard Thelander<br>Survived=0<br>shap=-0.855",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Survived=0<br>shap=-1.109",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Survived=1<br>shap=0.97",
-          "index=Hansen, Mr. Henrik Juul<br>Survived=0<br>shap=-0.543",
-          "index=Calderhead, Mr. Edward Pennington<br>Survived=1<br>shap=2.146",
-          "index=Klaber, Mr. Herman<br>Survived=0<br>shap=-0.796",
-          "index=Taylor, Mr. Elmer Zebley<br>Survived=1<br>shap=1.22",
-          "index=Larsson, Mr. August Viktor<br>Survived=0<br>shap=-0.855",
-          "index=Greenberg, Mr. Samuel<br>Survived=0<br>shap=-0.721",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Survived=1<br>shap=0.625",
-          "index=McEvoy, Mr. Michael<br>Survived=0<br>shap=-0.902",
-          "index=Johnson, Mr. Malkolm Joackim<br>Survived=0<br>shap=-1.087",
-          "index=Gillespie, Mr. William Henry<br>Survived=0<br>shap=-0.659",
-          "index=Allen, Miss. Elisabeth Walton<br>Survived=1<br>shap=2.237",
-          "index=Berriman, Mr. William John<br>Survived=0<br>shap=-0.567",
-          "index=Troupiansky, Mr. Moses Aaron<br>Survived=0<br>shap=-0.567",
-          "index=Williams, Mr. Leslie<br>Survived=0<br>shap=-0.855",
-          "index=Ivanoff, Mr. Kanio<br>Survived=0<br>shap=-0.868",
-          "index=McNamee, Mr. Neal<br>Survived=0<br>shap=-0.543",
-          "index=Connaghton, Mr. Michael<br>Survived=0<br>shap=-0.89",
-          "index=Carlsson, Mr. August Sigfrid<br>Survived=0<br>shap=-0.855",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Survived=1<br>shap=2.491",
-          "index=Eklund, Mr. Hans Linus<br>Survived=0<br>shap=-0.855",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Survived=1<br>shap=1.602",
-          "index=Moran, Mr. Daniel J<br>Survived=0<br>shap=-0.582",
-          "index=Lievens, Mr. Rene Aime<br>Survived=0<br>shap=-0.855",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Survived=1<br>shap=2.024",
-          "index=Ayoub, Miss. Banoura<br>Survived=1<br>shap=1.304",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Survived=1<br>shap=1.916",
-          "index=Johnston, Mr. Andrew G<br>Survived=0<br>shap=-0.327",
-          "index=Ali, Mr. William<br>Survived=0<br>shap=-0.855",
-          "index=Sjoblom, Miss. Anna Sofia<br>Survived=1<br>shap=1.361",
-          "index=Guggenheim, Mr. Benjamin<br>Survived=0<br>shap=-9.086",
-          "index=Leader, Dr. Alice (Farnham)<br>Survived=1<br>shap=2.159",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Survived=1<br>shap=0.378",
-          "index=Carter, Master. William Thornton II<br>Survived=1<br>shap=2.581",
-          "index=Thomas, Master. Assad Alexander<br>Survived=1<br>shap=0.795",
-          "index=Johansson, Mr. Karl Johan<br>Survived=0<br>shap=-0.855",
-          "index=Slemen, Mr. Richard James<br>Survived=0<br>shap=-0.694",
-          "index=Tomlin, Mr. Ernest Portage<br>Survived=0<br>shap=-0.855",
-          "index=McCormack, Mr. Thomas Joseph<br>Survived=1<br>shap=1.731",
-          "index=Richards, Master. George Sibley<br>Survived=1<br>shap=0.442",
-          "index=Mudd, Mr. Thomas Charles<br>Survived=0<br>shap=-0.567",
-          "index=Lemberopolous, Mr. Peter L<br>Survived=0<br>shap=-1.309",
-          "index=Sage, Mr. Douglas Bullen<br>Survived=0<br>shap=-0.363",
-          "index=Boulos, Miss. Nourelain<br>Survived=0<br>shap=-0.367",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Survived=1<br>shap=0.618",
-          "index=Razi, Mr. Raihed<br>Survived=0<br>shap=-0.994",
-          "index=Johnson, Master. Harold Theodor<br>Survived=1<br>shap=0.673",
-          "index=Carlsson, Mr. Frans Olof<br>Survived=0<br>shap=-5.845",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Survived=0<br>shap=-0.855",
-          "index=Montvila, Rev. Juozas<br>Survived=0<br>shap=-0.567"
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-          "index=Osen, Mr. Olaf Elon<br>Age=16.0<br>shap=-0.19",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=9.0<br>shap=-0.033",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=36.5<br>shap=1.944",
-          "index=Bateman, Rev. Robert James<br>Age=51.0<br>shap=0.219",
-          "index=Meo, Mr. Alfonzo<br>Age=55.5<br>shap=-0.157",
-          "index=Cribb, Mr. John Hatfield<br>Age=44.0<br>shap=-0.29",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=nan<br>shap=0.78",
-          "index=Van der hoef, Mr. Wyckoff<br>Age=61.0<br>shap=-2.168",
-          "index=Sivola, Mr. Antti Wilhelm<br>Age=21.0<br>shap=-0.403",
-          "index=Klasen, Mr. Klas Albin<br>Age=18.0<br>shap=-0.185",
-          "index=Rood, Mr. Hugh Roscoe<br>Age=nan<br>shap=1.516",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=19.0<br>shap=-1.135",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>shap=6.35",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>shap=-0.342",
-          "index=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>shap=-0.436",
-          "index=Blank, Mr. Henry<br>Age=40.0<br>shap=4.296",
-          "index=Ali, Mr. Ahmed<br>Age=24.0<br>shap=-0.349",
-          "index=Green, Mr. George Henry<br>Age=51.0<br>shap=-0.083",
-          "index=Nenkoff, Mr. Christo<br>Age=nan<br>shap=0.267",
-          "index=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>shap=-0.126",
-          "index=Harknett, Miss. Alice Phoebe<br>Age=nan<br>shap=-0.016",
-          "index=Hunt, Mr. George Henry<br>Age=33.0<br>shap=0.373",
-          "index=Reed, Mr. James George<br>Age=nan<br>shap=0.267",
-          "index=Stead, Mr. William Thomas<br>Age=62.0<br>shap=-3.208",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Age=nan<br>shap=-6.203",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>shap=0.725",
-          "index=Smith, Mr. Thomas<br>Age=nan<br>shap=0.087",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>shap=-0.009",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Age=nan<br>shap=-0.345",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>shap=-1.48",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>shap=2.215",
-          "index=Smith, Mr. Richard William<br>Age=nan<br>shap=1.516",
-          "index=Connolly, Miss. Kate<br>Age=22.0<br>shap=-0.88",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>shap=-3.599",
-          "index=Levy, Mr. Rene Jacques<br>Age=36.0<br>shap=3.355",
-          "index=Lewy, Mr. Ervin G<br>Age=nan<br>shap=-0.526",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Age=nan<br>shap=0.267",
-          "index=Sage, Mr. George John Jr<br>Age=nan<br>shap=1.442",
-          "index=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>shap=-0.152",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=nan<br>shap=-2.005",
-          "index=Denkoff, Mr. Mitto<br>Age=nan<br>shap=0.267",
-          "index=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>shap=6.319",
-          "index=Dimic, Mr. Jovan<br>Age=42.0<br>shap=0.405",
-          "index=del Carlo, Mr. Sebastiano<br>Age=29.0<br>shap=-0.438",
-          "index=Beavan, Mr. William Thomas<br>Age=19.0<br>shap=-0.403",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=nan<br>shap=-4.52",
-          "index=Widener, Mr. Harry Elkins<br>Age=27.0<br>shap=-0.104",
-          "index=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>shap=-0.403",
-          "index=Plotcharsky, Mr. Vasil<br>Age=nan<br>shap=0.267",
-          "index=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>shap=-1.575",
-          "index=Sadlier, Mr. Matthew<br>Age=nan<br>shap=0.087",
-          "index=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>shap=-0.412",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>shap=-0.277",
-          "index=Niskanen, Mr. Juha<br>Age=39.0<br>shap=1.206",
-          "index=Minahan, Miss. Daisy E<br>Age=33.0<br>shap=1.669",
-          "index=Matthews, Mr. William John<br>Age=30.0<br>shap=-0.178",
-          "index=Charters, Mr. David<br>Age=21.0<br>shap=-0.316",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=19.0<br>shap=-0.788",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>shap=0.918",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>shap=0.129",
-          "index=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>shap=-1.641",
-          "index=Anderson, Mr. Harry<br>Age=48.0<br>shap=-0.42",
-          "index=Milling, Mr. Jacob Christian<br>Age=48.0<br>shap=0.308",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>shap=0.727",
-          "index=Karlsson, Mr. Nils August<br>Age=22.0<br>shap=-0.398",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Age=nan<br>shap=-1.07",
-          "index=Bishop, Mr. Dickinson H<br>Age=25.0<br>shap=-4.355",
-          "index=Windelov, Mr. Einar<br>Age=21.0<br>shap=-0.403",
-          "index=Shellard, Mr. Frederick William<br>Age=nan<br>shap=0.267",
-          "index=Svensson, Mr. Olof<br>Age=24.0<br>shap=-0.349",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>shap=-0.2",
-          "index=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>shap=1.111",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>shap=-1.153",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=nan<br>shap=0.023",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=36.0<br>shap=2.15",
-          "index=Kassem, Mr. Fared<br>Age=nan<br>shap=-0.078",
-          "index=Cacic, Miss. Marija<br>Age=30.0<br>shap=-0.619",
-          "index=Hart, Miss. Eva Miriam<br>Age=7.0<br>shap=-0.326",
-          "index=Butt, Major. Archibald Willingham<br>Age=45.0<br>shap=0.969",
-          "index=Beane, Mr. Edward<br>Age=32.0<br>shap=0.057",
-          "index=Goldsmith, Mr. Frank John<br>Age=33.0<br>shap=0.448",
-          "index=Ohman, Miss. Velin<br>Age=22.0<br>shap=-0.953",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>shap=1.823",
-          "index=Morrow, Mr. Thomas Rowan<br>Age=nan<br>shap=0.087",
-          "index=Harris, Mr. George<br>Age=62.0<br>shap=0.512",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>shap=-1.274",
-          "index=Patchett, Mr. George<br>Age=19.0<br>shap=-0.403",
-          "index=Ross, Mr. John Hugo<br>Age=36.0<br>shap=20.242",
-          "index=Murdlin, Mr. Joseph<br>Age=nan<br>shap=0.267",
-          "index=Bourke, Miss. Mary<br>Age=nan<br>shap=-0.141",
-          "index=Boulos, Mr. Hanna<br>Age=nan<br>shap=-0.078",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Age=49.0<br>shap=-1.775",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=35.0<br>shap=24.245",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>shap=1.251",
-          "index=Daniel, Mr. Robert Williams<br>Age=27.0<br>shap=-1.967",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>shap=-1.06",
-          "index=Shutes, Miss. Elizabeth W<br>Age=40.0<br>shap=3.344",
-          "index=Jardin, Mr. Jose Neto<br>Age=nan<br>shap=0.267",
-          "index=Horgan, Mr. John<br>Age=nan<br>shap=0.087",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>shap=-0.884",
-          "index=Yasbeck, Mr. Antoni<br>Age=27.0<br>shap=-0.901",
-          "index=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>shap=-0.146",
-          "index=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>shap=-0.083",
-          "index=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>shap=1.364",
-          "index=Willey, Mr. Edward<br>Age=nan<br>shap=0.267",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>shap=-0.936",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Age=18.0<br>shap=-0.472",
-          "index=Eitemiller, Mr. George Floyd<br>Age=23.0<br>shap=-0.292",
-          "index=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>shap=-1.065",
-          "index=Coleff, Mr. Peju<br>Age=36.0<br>shap=1.618",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>shap=1.099",
-          "index=Davidson, Mr. Thornton<br>Age=31.0<br>shap=-0.876",
-          "index=Turja, Miss. Anna Sofia<br>Age=18.0<br>shap=-0.75",
-          "index=Hassab, Mr. Hammad<br>Age=27.0<br>shap=-4.145",
-          "index=Goodwin, Mr. Charles Edward<br>Age=14.0<br>shap=-1.644",
-          "index=Panula, Mr. Jaako Arnold<br>Age=14.0<br>shap=0.036",
-          "index=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>shap=-0.195",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>shap=0.296",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>shap=-3.472",
-          "index=Hansen, Mr. Henrik Juul<br>Age=26.0<br>shap=-0.693",
-          "index=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>shap=1.155",
-          "index=Klaber, Mr. Herman<br>Age=nan<br>shap=2.345",
-          "index=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>shap=-1.003",
-          "index=Larsson, Mr. August Viktor<br>Age=29.0<br>shap=-0.403",
-          "index=Greenberg, Mr. Samuel<br>Age=52.0<br>shap=0.219",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Age=27.0<br>shap=-0.355",
-          "index=McEvoy, Mr. Michael<br>Age=nan<br>shap=0.087",
-          "index=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>shap=0.25",
-          "index=Gillespie, Mr. William Henry<br>Age=34.0<br>shap=1.611",
-          "index=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>shap=-2.88",
-          "index=Berriman, Mr. William John<br>Age=23.0<br>shap=-0.292",
-          "index=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>shap=-0.292",
-          "index=Williams, Mr. Leslie<br>Age=28.5<br>shap=-0.342",
-          "index=Ivanoff, Mr. Kanio<br>Age=nan<br>shap=0.267",
-          "index=McNamee, Mr. Neal<br>Age=24.0<br>shap=-0.655",
-          "index=Connaghton, Mr. Michael<br>Age=31.0<br>shap=-0.031",
-          "index=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>shap=-0.342",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>shap=1.34",
-          "index=Eklund, Mr. Hans Linus<br>Age=16.0<br>shap=-0.19",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>shap=-1.202",
-          "index=Moran, Mr. Daniel J<br>Age=nan<br>shap=0.766",
-          "index=Lievens, Mr. Rene Aime<br>Age=24.0<br>shap=-0.349",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>shap=2.682",
-          "index=Ayoub, Miss. Banoura<br>Age=13.0<br>shap=-0.542",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>shap=-2.063",
-          "index=Johnston, Mr. Andrew G<br>Age=nan<br>shap=0.139",
-          "index=Ali, Mr. William<br>Age=25.0<br>shap=-0.442",
-          "index=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>shap=-0.75",
-          "index=Guggenheim, Mr. Benjamin<br>Age=46.0<br>shap=0.541",
-          "index=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>shap=0.472",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>shap=-0.095",
-          "index=Carter, Master. William Thornton II<br>Age=11.0<br>shap=1.792",
-          "index=Thomas, Master. Assad Alexander<br>Age=0.42<br>shap=-0.32",
-          "index=Johansson, Mr. Karl Johan<br>Age=31.0<br>shap=-0.261",
-          "index=Slemen, Mr. Richard James<br>Age=35.0<br>shap=2.033",
-          "index=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>shap=-0.35",
-          "index=McCormack, Mr. Thomas Joseph<br>Age=nan<br>shap=-0.06",
-          "index=Richards, Master. George Sibley<br>Age=0.83<br>shap=-0.116",
-          "index=Mudd, Mr. Thomas Charles<br>Age=16.0<br>shap=0.441",
-          "index=Lemberopolous, Mr. Peter L<br>Age=34.5<br>shap=3.031",
-          "index=Sage, Mr. Douglas Bullen<br>Age=nan<br>shap=1.442",
-          "index=Boulos, Miss. Nourelain<br>Age=9.0<br>shap=-0.289",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>shap=-1.037",
-          "index=Razi, Mr. Raihed<br>Age=nan<br>shap=-0.078",
-          "index=Johnson, Master. Harold Theodor<br>Age=4.0<br>shap=0.049",
-          "index=Carlsson, Mr. Frans Olof<br>Age=33.0<br>shap=1.765",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>shap=-0.403",
-          "index=Montvila, Rev. Juozas<br>Age=27.0<br>shap=-0.31"
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-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Embarked_Southampton=0<br>shap=0.453",
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-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Deck_Unkown=0<br>shap=-1.873",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Deck_Unkown=0<br>shap=-1.676",
-          "index=Palsson, Master. Gosta Leonard<br>Deck_Unkown=1<br>shap=0.346",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Deck_Unkown=1<br>shap=0.84",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Deck_Unkown=1<br>shap=0.826",
-          "index=Saundercock, Mr. William Henry<br>Deck_Unkown=1<br>shap=0.464",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Deck_Unkown=1<br>shap=0.756",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Deck_Unkown=1<br>shap=0.797",
-          "index=Glynn, Miss. Mary Agatha<br>Deck_Unkown=1<br>shap=0.831",
-          "index=Meyer, Mr. Edgar Joseph<br>Deck_Unkown=1<br>shap=2.398",
-          "index=Kraeff, Mr. Theodor<br>Deck_Unkown=1<br>shap=0.49",
-          "index=Devaney, Miss. Margaret Delia<br>Deck_Unkown=1<br>shap=0.882",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Deck_Unkown=1<br>shap=0.802",
-          "index=Rugg, Miss. Emily<br>Deck_Unkown=1<br>shap=0.841",
-          "index=Harris, Mr. Henry Birkhardt<br>Deck_Unkown=0<br>shap=-0.457",
-          "index=Skoog, Master. Harald<br>Deck_Unkown=1<br>shap=0.34",
-          "index=Kink, Mr. Vincenz<br>Deck_Unkown=1<br>shap=0.53",
-          "index=Hood, Mr. Ambrose Jr<br>Deck_Unkown=1<br>shap=0.464",
-          "index=Ilett, Miss. Bertha<br>Deck_Unkown=1<br>shap=0.841",
-          "index=Ford, Mr. William Neal<br>Deck_Unkown=1<br>shap=0.409",
-          "index=Christmann, Mr. Emil<br>Deck_Unkown=1<br>shap=0.453",
-          "index=Andreasson, Mr. Paul Edvin<br>Deck_Unkown=1<br>shap=0.464",
-          "index=Chaffee, Mr. Herbert Fuller<br>Deck_Unkown=0<br>shap=-0.471",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Deck_Unkown=1<br>shap=0.45",
-          "index=White, Mr. Richard Frasar<br>Deck_Unkown=0<br>shap=-0.299",
-          "index=Rekic, Mr. Tido<br>Deck_Unkown=1<br>shap=0.627",
-          "index=Moran, Miss. Bertha<br>Deck_Unkown=1<br>shap=0.826",
-          "index=Barton, Mr. David John<br>Deck_Unkown=1<br>shap=0.464",
-          "index=Jussila, Miss. Katriina<br>Deck_Unkown=1<br>shap=0.802",
-          "index=Pekoniemi, Mr. Edvard<br>Deck_Unkown=1<br>shap=0.464",
-          "index=Turpin, Mr. William John Robert<br>Deck_Unkown=1<br>shap=0.501",
-          "index=Moore, Mr. Leonard Charles<br>Deck_Unkown=1<br>shap=0.45",
-          "index=Osen, Mr. Olaf Elon<br>Deck_Unkown=1<br>shap=0.464",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Deck_Unkown=1<br>shap=0.46",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Deck_Unkown=0<br>shap=-0.146",
-          "index=Bateman, Rev. Robert James<br>Deck_Unkown=1<br>shap=0.627",
-          "index=Meo, Mr. Alfonzo<br>Deck_Unkown=1<br>shap=0.627",
-          "index=Cribb, Mr. John Hatfield<br>Deck_Unkown=1<br>shap=0.622",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Deck_Unkown=0<br>shap=-0.797",
-          "index=Van der hoef, Mr. Wyckoff<br>Deck_Unkown=0<br>shap=-0.437",
-          "index=Sivola, Mr. Antti Wilhelm<br>Deck_Unkown=1<br>shap=0.464",
-          "index=Klasen, Mr. Klas Albin<br>Deck_Unkown=1<br>shap=0.517",
-          "index=Rood, Mr. Hugh Roscoe<br>Deck_Unkown=0<br>shap=-0.287",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Deck_Unkown=1<br>shap=0.836",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Deck_Unkown=0<br>shap=-2.15",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Deck_Unkown=1<br>shap=0.453",
-          "index=Backstrom, Mr. Karl Alfred<br>Deck_Unkown=1<br>shap=0.501",
-          "index=Blank, Mr. Henry<br>Deck_Unkown=0<br>shap=-0.878",
-          "index=Ali, Mr. Ahmed<br>Deck_Unkown=1<br>shap=0.464",
-          "index=Green, Mr. George Henry<br>Deck_Unkown=1<br>shap=0.627",
-          "index=Nenkoff, Mr. Christo<br>Deck_Unkown=1<br>shap=0.45",
-          "index=Asplund, Miss. Lillian Gertrud<br>Deck_Unkown=1<br>shap=0.44",
-          "index=Harknett, Miss. Alice Phoebe<br>Deck_Unkown=1<br>shap=0.756",
-          "index=Hunt, Mr. George Henry<br>Deck_Unkown=1<br>shap=0.602",
-          "index=Reed, Mr. James George<br>Deck_Unkown=1<br>shap=0.45",
-          "index=Stead, Mr. William Thomas<br>Deck_Unkown=0<br>shap=-0.489",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Deck_Unkown=1<br>shap=4.293",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Deck_Unkown=1<br>shap=1.337",
-          "index=Smith, Mr. Thomas<br>Deck_Unkown=1<br>shap=0.49",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Deck_Unkown=1<br>shap=0.358",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Deck_Unkown=1<br>shap=0.831",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Deck_Unkown=0<br>shap=-1.75",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Deck_Unkown=1<br>shap=1.31",
-          "index=Smith, Mr. Richard William<br>Deck_Unkown=0<br>shap=-0.287",
-          "index=Connolly, Miss. Kate<br>Deck_Unkown=1<br>shap=0.882",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Deck_Unkown=0<br>shap=-0.57",
-          "index=Levy, Mr. Rene Jacques<br>Deck_Unkown=0<br>shap=-0.156",
-          "index=Lewy, Mr. Ervin G<br>Deck_Unkown=1<br>shap=1.728",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Deck_Unkown=1<br>shap=0.45",
-          "index=Sage, Mr. George John Jr<br>Deck_Unkown=1<br>shap=0.34",
-          "index=Nysveen, Mr. Johan Hansen<br>Deck_Unkown=1<br>shap=0.627",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Deck_Unkown=1<br>shap=3.927",
-          "index=Denkoff, Mr. Mitto<br>Deck_Unkown=1<br>shap=0.45",
-          "index=Burns, Miss. Elizabeth Margaret<br>Deck_Unkown=0<br>shap=-2.608",
-          "index=Dimic, Mr. Jovan<br>Deck_Unkown=1<br>shap=0.627",
-          "index=del Carlo, Mr. Sebastiano<br>Deck_Unkown=1<br>shap=0.542",
-          "index=Beavan, Mr. William Thomas<br>Deck_Unkown=1<br>shap=0.464",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Deck_Unkown=1<br>shap=4.357",
-          "index=Widener, Mr. Harry Elkins<br>Deck_Unkown=0<br>shap=-0.472",
-          "index=Gustafsson, Mr. Karl Gideon<br>Deck_Unkown=1<br>shap=0.464",
-          "index=Plotcharsky, Mr. Vasil<br>Deck_Unkown=1<br>shap=0.45",
-          "index=Goodwin, Master. Sidney Leonard<br>Deck_Unkown=1<br>shap=0.34",
-          "index=Sadlier, Mr. Matthew<br>Deck_Unkown=1<br>shap=0.49",
-          "index=Gustafsson, Mr. Johan Birger<br>Deck_Unkown=1<br>shap=0.53",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Deck_Unkown=0<br>shap=-0.187",
-          "index=Niskanen, Mr. Juha<br>Deck_Unkown=1<br>shap=0.706",
-          "index=Minahan, Miss. Daisy E<br>Deck_Unkown=0<br>shap=-1.724",
-          "index=Matthews, Mr. William John<br>Deck_Unkown=1<br>shap=0.453",
-          "index=Charters, Mr. David<br>Deck_Unkown=1<br>shap=0.505",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Deck_Unkown=1<br>shap=0.841",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Deck_Unkown=1<br>shap=1.31",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Deck_Unkown=1<br>shap=0.483",
-          "index=Peuchen, Major. Arthur Godfrey<br>Deck_Unkown=0<br>shap=-0.666",
-          "index=Anderson, Mr. Harry<br>Deck_Unkown=0<br>shap=-0.681",
-          "index=Milling, Mr. Jacob Christian<br>Deck_Unkown=1<br>shap=0.627",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Deck_Unkown=1<br>shap=1.204",
-          "index=Karlsson, Mr. Nils August<br>Deck_Unkown=1<br>shap=0.464",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Deck_Unkown=1<br>shap=0.45",
-          "index=Bishop, Mr. Dickinson H<br>Deck_Unkown=0<br>shap=-0.282",
-          "index=Windelov, Mr. Einar<br>Deck_Unkown=1<br>shap=0.464",
-          "index=Shellard, Mr. Frederick William<br>Deck_Unkown=1<br>shap=0.45",
-          "index=Svensson, Mr. Olof<br>Deck_Unkown=1<br>shap=0.464",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Deck_Unkown=1<br>shap=0.797",
-          "index=Laitinen, Miss. Kristina Sofia<br>Deck_Unkown=1<br>shap=1.308",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Deck_Unkown=0<br>shap=-0.511",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Deck_Unkown=1<br>shap=1.563",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Deck_Unkown=1<br>shap=1.267",
-          "index=Kassem, Mr. Fared<br>Deck_Unkown=1<br>shap=0.49",
-          "index=Cacic, Miss. Marija<br>Deck_Unkown=1<br>shap=0.77",
-          "index=Hart, Miss. Eva Miriam<br>Deck_Unkown=1<br>shap=0.826",
-          "index=Butt, Major. Archibald Willingham<br>Deck_Unkown=0<br>shap=-0.437",
-          "index=Beane, Mr. Edward<br>Deck_Unkown=1<br>shap=0.535",
-          "index=Goldsmith, Mr. Frank John<br>Deck_Unkown=1<br>shap=0.629",
-          "index=Ohman, Miss. Velin<br>Deck_Unkown=1<br>shap=0.841",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Deck_Unkown=0<br>shap=-2.022",
-          "index=Morrow, Mr. Thomas Rowan<br>Deck_Unkown=1<br>shap=0.49",
-          "index=Harris, Mr. George<br>Deck_Unkown=1<br>shap=0.706",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Deck_Unkown=0<br>shap=-1.629",
-          "index=Patchett, Mr. George<br>Deck_Unkown=1<br>shap=0.464",
-          "index=Ross, Mr. John Hugo<br>Deck_Unkown=0<br>shap=-0.701",
-          "index=Murdlin, Mr. Joseph<br>Deck_Unkown=1<br>shap=0.45",
-          "index=Bourke, Miss. Mary<br>Deck_Unkown=1<br>shap=0.823",
-          "index=Boulos, Mr. Hanna<br>Deck_Unkown=1<br>shap=0.49",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Deck_Unkown=0<br>shap=-0.845",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Deck_Unkown=1<br>shap=3.589",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Deck_Unkown=1<br>shap=0.649",
-          "index=Daniel, Mr. Robert Williams<br>Deck_Unkown=1<br>shap=1.587",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Deck_Unkown=1<br>shap=0.873",
-          "index=Shutes, Miss. Elizabeth W<br>Deck_Unkown=0<br>shap=-2.336",
-          "index=Jardin, Mr. Jose Neto<br>Deck_Unkown=1<br>shap=0.45",
-          "index=Horgan, Mr. John<br>Deck_Unkown=1<br>shap=0.49",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Deck_Unkown=1<br>shap=0.765",
-          "index=Yasbeck, Mr. Antoni<br>Deck_Unkown=1<br>shap=0.542",
-          "index=Bostandyeff, Mr. Guentcho<br>Deck_Unkown=1<br>shap=0.453",
-          "index=Lundahl, Mr. Johan Svensson<br>Deck_Unkown=1<br>shap=0.627",
-          "index=Stahelin-Maeglin, Dr. Max<br>Deck_Unkown=0<br>shap=-0.254",
-          "index=Willey, Mr. Edward<br>Deck_Unkown=1<br>shap=0.45",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Deck_Unkown=1<br>shap=0.841",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Deck_Unkown=1<br>shap=0.848",
-          "index=Eitemiller, Mr. George Floyd<br>Deck_Unkown=1<br>shap=0.464",
-          "index=Colley, Mr. Edward Pomeroy<br>Deck_Unkown=0<br>shap=-0.504",
-          "index=Coleff, Mr. Peju<br>Deck_Unkown=1<br>shap=0.627",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Deck_Unkown=1<br>shap=1.31",
-          "index=Davidson, Mr. Thornton<br>Deck_Unkown=0<br>shap=-0.247",
-          "index=Turja, Miss. Anna Sofia<br>Deck_Unkown=1<br>shap=0.841",
-          "index=Hassab, Mr. Hammad<br>Deck_Unkown=0<br>shap=-0.536",
-          "index=Goodwin, Mr. Charles Edward<br>Deck_Unkown=1<br>shap=0.34",
-          "index=Panula, Mr. Jaako Arnold<br>Deck_Unkown=1<br>shap=0.343",
-          "index=Fischer, Mr. Eberhard Thelander<br>Deck_Unkown=1<br>shap=0.464",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Deck_Unkown=0<br>shap=-0.137",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Deck_Unkown=0<br>shap=-0.954",
-          "index=Hansen, Mr. Henrik Juul<br>Deck_Unkown=1<br>shap=0.501",
-          "index=Calderhead, Mr. Edward Pennington<br>Deck_Unkown=0<br>shap=-0.681",
-          "index=Klaber, Mr. Herman<br>Deck_Unkown=0<br>shap=-0.273",
-          "index=Taylor, Mr. Elmer Zebley<br>Deck_Unkown=0<br>shap=-0.634",
-          "index=Larsson, Mr. August Viktor<br>Deck_Unkown=1<br>shap=0.453",
-          "index=Greenberg, Mr. Samuel<br>Deck_Unkown=1<br>shap=0.627",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Deck_Unkown=0<br>shap=-0.169",
-          "index=McEvoy, Mr. Michael<br>Deck_Unkown=1<br>shap=0.49",
-          "index=Johnson, Mr. Malkolm Joackim<br>Deck_Unkown=1<br>shap=0.602",
-          "index=Gillespie, Mr. William Henry<br>Deck_Unkown=1<br>shap=0.602",
-          "index=Allen, Miss. Elisabeth Walton<br>Deck_Unkown=0<br>shap=-0.511",
-          "index=Berriman, Mr. William John<br>Deck_Unkown=1<br>shap=0.464",
-          "index=Troupiansky, Mr. Moses Aaron<br>Deck_Unkown=1<br>shap=0.464",
-          "index=Williams, Mr. Leslie<br>Deck_Unkown=1<br>shap=0.453",
-          "index=Ivanoff, Mr. Kanio<br>Deck_Unkown=1<br>shap=0.45",
-          "index=McNamee, Mr. Neal<br>Deck_Unkown=1<br>shap=0.512",
-          "index=Connaghton, Mr. Michael<br>Deck_Unkown=1<br>shap=0.494",
-          "index=Carlsson, Mr. August Sigfrid<br>Deck_Unkown=1<br>shap=0.453",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Deck_Unkown=0<br>shap=-1.959",
-          "index=Eklund, Mr. Hans Linus<br>Deck_Unkown=1<br>shap=0.464",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Deck_Unkown=0<br>shap=-1.75",
-          "index=Moran, Mr. Daniel J<br>Deck_Unkown=1<br>shap=0.539",
-          "index=Lievens, Mr. Rene Aime<br>Deck_Unkown=1<br>shap=0.464",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Deck_Unkown=0<br>shap=-1.929",
-          "index=Ayoub, Miss. Banoura<br>Deck_Unkown=1<br>shap=0.831",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Deck_Unkown=0<br>shap=-0.528",
-          "index=Johnston, Mr. Andrew G<br>Deck_Unkown=1<br>shap=0.485",
-          "index=Ali, Mr. William<br>Deck_Unkown=1<br>shap=0.453",
-          "index=Sjoblom, Miss. Anna Sofia<br>Deck_Unkown=1<br>shap=0.841",
-          "index=Guggenheim, Mr. Benjamin<br>Deck_Unkown=0<br>shap=-0.479",
-          "index=Leader, Dr. Alice (Farnham)<br>Deck_Unkown=0<br>shap=-2.41",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Deck_Unkown=1<br>shap=0.842",
-          "index=Carter, Master. William Thornton II<br>Deck_Unkown=0<br>shap=-0.328",
-          "index=Thomas, Master. Assad Alexander<br>Deck_Unkown=1<br>shap=0.528",
-          "index=Johansson, Mr. Karl Johan<br>Deck_Unkown=1<br>shap=0.453",
-          "index=Slemen, Mr. Richard James<br>Deck_Unkown=1<br>shap=0.627",
-          "index=Tomlin, Mr. Ernest Portage<br>Deck_Unkown=1<br>shap=0.453",
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-          "index=Kink, Mr. Vincenz<br>Deck_C=0<br>shap=-0.29",
-          "index=Hood, Mr. Ambrose Jr<br>Deck_C=0<br>shap=-0.289",
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-          "index=Ford, Mr. William Neal<br>Deck_C=0<br>shap=-0.224",
-          "index=Christmann, Mr. Emil<br>Deck_C=0<br>shap=-0.288",
-          "index=Andreasson, Mr. Paul Edvin<br>Deck_C=0<br>shap=-0.289",
-          "index=Chaffee, Mr. Herbert Fuller<br>Deck_C=0<br>shap=-1.522",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Deck_C=0<br>shap=-0.307",
-          "index=White, Mr. Richard Frasar<br>Deck_C=0<br>shap=-2.095",
-          "index=Rekic, Mr. Tido<br>Deck_C=0<br>shap=-0.285",
-          "index=Moran, Miss. Bertha<br>Deck_C=0<br>shap=-0.216",
-          "index=Barton, Mr. David John<br>Deck_C=0<br>shap=-0.289",
-          "index=Jussila, Miss. Katriina<br>Deck_C=0<br>shap=-0.267",
-          "index=Pekoniemi, Mr. Edvard<br>Deck_C=0<br>shap=-0.289",
-          "index=Turpin, Mr. William John Robert<br>Deck_C=0<br>shap=-0.291",
-          "index=Moore, Mr. Leonard Charles<br>Deck_C=0<br>shap=-0.307",
-          "index=Osen, Mr. Olaf Elon<br>Deck_C=0<br>shap=-0.286",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Deck_C=0<br>shap=-0.213",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Deck_C=0<br>shap=-0.327",
-          "index=Bateman, Rev. Robert James<br>Deck_C=0<br>shap=-0.269",
-          "index=Meo, Mr. Alfonzo<br>Deck_C=0<br>shap=-0.258",
-          "index=Cribb, Mr. John Hatfield<br>Deck_C=0<br>shap=-0.31",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Deck_C=0<br>shap=-1.809",
-          "index=Van der hoef, Mr. Wyckoff<br>Deck_C=0<br>shap=-1.225",
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-          "index=Klasen, Mr. Klas Albin<br>Deck_C=0<br>shap=-0.323",
-          "index=Rood, Mr. Hugh Roscoe<br>Deck_C=0<br>shap=-1.946",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Deck_C=0<br>shap=-0.237",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Deck_C=0<br>shap=-0.838",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Deck_C=0<br>shap=-0.288",
-          "index=Backstrom, Mr. Karl Alfred<br>Deck_C=0<br>shap=-0.291",
-          "index=Blank, Mr. Henry<br>Deck_C=0<br>shap=-0.929",
-          "index=Ali, Mr. Ahmed<br>Deck_C=0<br>shap=-0.289",
-          "index=Green, Mr. George Henry<br>Deck_C=0<br>shap=-0.269",
-          "index=Nenkoff, Mr. Christo<br>Deck_C=0<br>shap=-0.307",
-          "index=Asplund, Miss. Lillian Gertrud<br>Deck_C=0<br>shap=-0.196",
-          "index=Harknett, Miss. Alice Phoebe<br>Deck_C=0<br>shap=-0.271",
-          "index=Hunt, Mr. George Henry<br>Deck_C=0<br>shap=-0.288",
-          "index=Reed, Mr. James George<br>Deck_C=0<br>shap=-0.307",
-          "index=Stead, Mr. William Thomas<br>Deck_C=1<br>shap=3.809",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Deck_C=0<br>shap=-0.744",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Deck_C=0<br>shap=-0.279",
-          "index=Smith, Mr. Thomas<br>Deck_C=0<br>shap=-0.279",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Deck_C=0<br>shap=-0.211",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Deck_C=0<br>shap=-0.217",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Deck_C=0<br>shap=-1.072",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Deck_C=0<br>shap=-0.293",
-          "index=Smith, Mr. Richard William<br>Deck_C=0<br>shap=-1.946",
-          "index=Connolly, Miss. Kate<br>Deck_C=0<br>shap=-0.219",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Deck_C=0<br>shap=-0.729",
-          "index=Levy, Mr. Rene Jacques<br>Deck_C=0<br>shap=-0.233",
-          "index=Lewy, Mr. Ervin G<br>Deck_C=0<br>shap=-1.337",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Deck_C=0<br>shap=-0.307",
-          "index=Sage, Mr. George John Jr<br>Deck_C=0<br>shap=-0.23",
-          "index=Nysveen, Mr. Johan Hansen<br>Deck_C=0<br>shap=-0.258",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Deck_C=0<br>shap=-1.03",
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-          "index=Burns, Miss. Elizabeth Margaret<br>Deck_C=0<br>shap=-1.075",
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-          "index=Beavan, Mr. William Thomas<br>Deck_C=0<br>shap=-0.289",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Deck_C=0<br>shap=-0.742",
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-          "index=Plotcharsky, Mr. Vasil<br>Deck_C=0<br>shap=-0.307",
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-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Deck_C=0<br>shap=-0.315",
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-          "index=Matthews, Mr. William John<br>Deck_C=0<br>shap=-0.288",
-          "index=Charters, Mr. David<br>Deck_C=0<br>shap=-0.26",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Deck_C=0<br>shap=-0.236",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Deck_C=0<br>shap=-0.29",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Deck_C=0<br>shap=-0.269",
-          "index=Peuchen, Major. Arthur Godfrey<br>Deck_C=1<br>shap=3.437",
-          "index=Anderson, Mr. Harry<br>Deck_C=0<br>shap=-1.239",
-          "index=Milling, Mr. Jacob Christian<br>Deck_C=0<br>shap=-0.269",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Deck_C=0<br>shap=-0.298",
-          "index=Karlsson, Mr. Nils August<br>Deck_C=0<br>shap=-0.289",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Deck_C=0<br>shap=-0.307",
-          "index=Bishop, Mr. Dickinson H<br>Deck_C=0<br>shap=-0.758",
-          "index=Windelov, Mr. Einar<br>Deck_C=0<br>shap=-0.289",
-          "index=Shellard, Mr. Frederick William<br>Deck_C=0<br>shap=-0.307",
-          "index=Svensson, Mr. Olof<br>Deck_C=0<br>shap=-0.289",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Deck_C=0<br>shap=-0.251",
-          "index=Laitinen, Miss. Kristina Sofia<br>Deck_C=0<br>shap=-0.259",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Deck_C=1<br>shap=2.735",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Deck_C=0<br>shap=-1.525",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Deck_C=0<br>shap=-0.236",
-          "index=Kassem, Mr. Fared<br>Deck_C=0<br>shap=-0.249",
-          "index=Cacic, Miss. Marija<br>Deck_C=0<br>shap=-0.265",
-          "index=Hart, Miss. Eva Miriam<br>Deck_C=0<br>shap=-0.293",
-          "index=Butt, Major. Archibald Willingham<br>Deck_C=0<br>shap=-1.338",
-          "index=Beane, Mr. Edward<br>Deck_C=0<br>shap=-0.261",
-          "index=Goldsmith, Mr. Frank John<br>Deck_C=0<br>shap=-0.317",
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-          "index=Murdlin, Mr. Joseph<br>Deck_C=0<br>shap=-0.307",
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-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Deck_C=0<br>shap=-0.241",
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-          "index=Stahelin-Maeglin, Dr. Max<br>Deck_C=0<br>shap=-0.762",
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-          "index=Nenkoff, Mr. Christo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Asplund, Miss. Lillian Gertrud<br>No_of_siblings_plus_spouses_on_board=4<br>shap=0.363",
-          "index=Harknett, Miss. Alice Phoebe<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.102",
-          "index=Hunt, Mr. George Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.125",
-          "index=Reed, Mr. James George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Stead, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.39",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.027",
-          "index=Parrish, Mrs. (Lutie Davis)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.074",
-          "index=Smith, Mr. Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.133",
-          "index=Asplund, Master. Edvin Rojj Felix<br>No_of_siblings_plus_spouses_on_board=4<br>shap=0.332",
-          "index=Healy, Miss. Hanora \"Nora\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.102",
-          "index=Andrews, Miss. Kornelia Theodosia<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.485",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.46",
-          "index=Smith, Mr. Richard William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.382",
-          "index=Connolly, Miss. Kate<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.093",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.082",
-          "index=Levy, Mr. Rene Jacques<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.124",
-          "index=Lewy, Mr. Ervin G<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.206",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Sage, Mr. George John Jr<br>No_of_siblings_plus_spouses_on_board=8<br>shap=6.01",
-          "index=Nysveen, Mr. Johan Hansen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.112",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.055",
-          "index=Denkoff, Mr. Mitto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Burns, Miss. Elizabeth Margaret<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.255",
-          "index=Dimic, Mr. Jovan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.108",
-          "index=del Carlo, Mr. Sebastiano<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.054",
-          "index=Beavan, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.085",
-          "index=Widener, Mr. Harry Elkins<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.156",
-          "index=Gustafsson, Mr. Karl Gideon<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Plotcharsky, Mr. Vasil<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Goodwin, Master. Sidney Leonard<br>No_of_siblings_plus_spouses_on_board=5<br>shap=0.446",
-          "index=Sadlier, Mr. Matthew<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.133",
-          "index=Gustafsson, Mr. Johan Birger<br>No_of_siblings_plus_spouses_on_board=2<br>shap=0.642",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.447",
-          "index=Niskanen, Mr. Juha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.105",
-          "index=Minahan, Miss. Daisy E<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.004",
-          "index=Matthews, Mr. William John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.141",
-          "index=Charters, Mr. David<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.124",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.086",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.484",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.136",
-          "index=Peuchen, Major. Arthur Godfrey<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.39",
-          "index=Anderson, Mr. Harry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.412",
-          "index=Milling, Mr. Jacob Christian<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.121",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.495",
-          "index=Karlsson, Mr. Nils August<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.141",
-          "index=Bishop, Mr. Dickinson H<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.391",
-          "index=Windelov, Mr. Einar<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Shellard, Mr. Frederick William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Svensson, Mr. Olof<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=O'Sullivan, Miss. Bridget Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.105",
-          "index=Laitinen, Miss. Kristina Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.334",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.343",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.119",
-          "index=Kassem, Mr. Fared<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.127",
-          "index=Cacic, Miss. Marija<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.093",
-          "index=Hart, Miss. Eva Miriam<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.479",
-          "index=Butt, Major. Archibald Willingham<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.393",
-          "index=Beane, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.105",
-          "index=Goldsmith, Mr. Frank John<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.352",
-          "index=Ohman, Miss. Velin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.09",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.462",
-          "index=Morrow, Mr. Thomas Rowan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.133",
-          "index=Harris, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.12",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_siblings_plus_spouses_on_board=2<br>shap=1.346",
-          "index=Patchett, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Ross, Mr. John Hugo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.221",
-          "index=Murdlin, Mr. Joseph<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Bourke, Miss. Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.462",
-          "index=Boulos, Mr. Hanna<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.127",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.634",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.095",
-          "index=Lindell, Mr. Edvard Bengtsson<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.098",
-          "index=Daniel, Mr. Robert Williams<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.38",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.445",
-          "index=Shutes, Miss. Elizabeth W<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.312",
-          "index=Jardin, Mr. Jose Neto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Horgan, Mr. John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.133",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.02",
-          "index=Yasbeck, Mr. Antoni<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.069",
-          "index=Bostandyeff, Mr. Guentcho<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.127",
-          "index=Lundahl, Mr. Johan Svensson<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.112",
-          "index=Stahelin-Maeglin, Dr. Max<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.263",
-          "index=Willey, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.09",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.096",
-          "index=Eitemiller, Mr. George Floyd<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.126",
-          "index=Colley, Mr. Edward Pomeroy<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.413",
-          "index=Coleff, Mr. Peju<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.108",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.491",
-          "index=Davidson, Mr. Thornton<br>No_of_siblings_plus_spouses_on_board=1<br>shap=1.082",
-          "index=Turja, Miss. Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.09",
-          "index=Hassab, Mr. Hammad<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.281",
-          "index=Goodwin, Mr. Charles Edward<br>No_of_siblings_plus_spouses_on_board=5<br>shap=0.446",
-          "index=Panula, Mr. Jaako Arnold<br>No_of_siblings_plus_spouses_on_board=4<br>shap=0.344",
-          "index=Fischer, Mr. Eberhard Thelander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.128",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.012",
-          "index=Hansen, Mr. Henrik Juul<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.114",
-          "index=Calderhead, Mr. Edward Pennington<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.358",
-          "index=Klaber, Mr. Herman<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.36",
-          "index=Taylor, Mr. Elmer Zebley<br>No_of_siblings_plus_spouses_on_board=1<br>shap=1.081",
-          "index=Larsson, Mr. August Viktor<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.132",
-          "index=Greenberg, Mr. Samuel<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.121",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.11",
-          "index=McEvoy, Mr. Michael<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.133",
-          "index=Johnson, Mr. Malkolm Joackim<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.116",
-          "index=Gillespie, Mr. William Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.116",
-          "index=Allen, Miss. Elisabeth Walton<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.218",
-          "index=Berriman, Mr. William John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.126",
-          "index=Troupiansky, Mr. Moses Aaron<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.126",
-          "index=Williams, Mr. Leslie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.132",
-          "index=Ivanoff, Mr. Kanio<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=McNamee, Mr. Neal<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.128",
-          "index=Connaghton, Mr. Michael<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.126",
-          "index=Carlsson, Mr. August Sigfrid<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.132",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.153",
-          "index=Eklund, Mr. Hans Linus<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.487",
-          "index=Moran, Mr. Daniel J<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.129",
-          "index=Lievens, Mr. Rene Aime<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.178",
-          "index=Ayoub, Miss. Banoura<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.091",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.052",
-          "index=Johnston, Mr. Andrew G<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.437",
-          "index=Ali, Mr. William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Sjoblom, Miss. Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.09",
-          "index=Guggenheim, Mr. Benjamin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.256",
-          "index=Leader, Dr. Alice (Farnham)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.291",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.414",
-          "index=Carter, Master. William Thornton II<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.787",
-          "index=Thomas, Master. Assad Alexander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.09",
-          "index=Johansson, Mr. Karl Johan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.132",
-          "index=Slemen, Mr. Richard James<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.116",
-          "index=Tomlin, Mr. Ernest Portage<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.132",
-          "index=McCormack, Mr. Thomas Joseph<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Richards, Master. George Sibley<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.387",
-          "index=Mudd, Mr. Thomas Charles<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.126",
-          "index=Lemberopolous, Mr. Peter L<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.096",
-          "index=Sage, Mr. Douglas Bullen<br>No_of_siblings_plus_spouses_on_board=8<br>shap=6.01",
-          "index=Boulos, Miss. Nourelain<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.385",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.094",
-          "index=Razi, Mr. Raihed<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.127",
-          "index=Johnson, Master. Harold Theodor<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.341",
-          "index=Carlsson, Mr. Frans Olof<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.384",
-          "index=Gustafsson, Mr. Alfred Ossian<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13",
-          "index=Montvila, Rev. Juozas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.129"
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-         "type": "scatter",
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+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>PassengerClass=1<br>shap=53.566",
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+          "None=Sadlier, Mr. Matthew<br>PassengerClass=3<br>shap=-15.908",
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+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>PassengerClass=3<br>shap=-20.439",
+          "None=Niskanen, Mr. Juha<br>PassengerClass=3<br>shap=-14.281",
+          "None=Minahan, Miss. Daisy E<br>PassengerClass=1<br>shap=57.359",
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+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>PassengerClass=2<br>shap=-13.982",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>PassengerClass=2<br>shap=-13.851",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>PassengerClass=3<br>shap=-14.110",
+          "None=Peuchen, Major. Arthur Godfrey<br>PassengerClass=1<br>shap=39.858",
+          "None=Anderson, Mr. Harry<br>PassengerClass=1<br>shap=37.251",
+          "None=Milling, Mr. Jacob Christian<br>PassengerClass=2<br>shap=-7.673",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>PassengerClass=2<br>shap=-14.914",
+          "None=Karlsson, Mr. Nils August<br>PassengerClass=3<br>shap=-14.060",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>PassengerClass=2<br>shap=-8.599",
+          "None=Bishop, Mr. Dickinson H<br>PassengerClass=1<br>shap=68.612",
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+          "None=Svensson, Mr. Olof<br>PassengerClass=3<br>shap=-14.043",
+          "None=O'Sullivan, Miss. Bridget Mary<br>PassengerClass=3<br>shap=-19.554",
+          "None=Laitinen, Miss. Kristina Sofia<br>PassengerClass=3<br>shap=-19.784",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>PassengerClass=1<br>shap=50.264",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>PassengerClass=1<br>shap=41.467",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>PassengerClass=2<br>shap=-12.394",
+          "None=Kassem, Mr. Fared<br>PassengerClass=3<br>shap=-16.879",
+          "None=Cacic, Miss. Marija<br>PassengerClass=3<br>shap=-18.263",
+          "None=Hart, Miss. Eva Miriam<br>PassengerClass=2<br>shap=-16.341",
+          "None=Butt, Major. Archibald Willingham<br>PassengerClass=1<br>shap=41.406",
+          "None=Beane, Mr. Edward<br>PassengerClass=2<br>shap=-7.553",
+          "None=Goldsmith, Mr. Frank John<br>PassengerClass=3<br>shap=-19.935",
+          "None=Ohman, Miss. Velin<br>PassengerClass=3<br>shap=-18.594",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>PassengerClass=1<br>shap=56.879",
+          "None=Morrow, Mr. Thomas Rowan<br>PassengerClass=3<br>shap=-15.908",
+          "None=Harris, Mr. George<br>PassengerClass=2<br>shap=-9.206",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>PassengerClass=1<br>shap=63.660",
+          "None=Patchett, Mr. George<br>PassengerClass=3<br>shap=-14.069",
+          "None=Ross, Mr. John Hugo<br>PassengerClass=1<br>shap=54.283",
+          "None=Murdlin, Mr. Joseph<br>PassengerClass=3<br>shap=-13.869",
+          "None=Bourke, Miss. Mary<br>PassengerClass=3<br>shap=-22.538",
+          "None=Boulos, Mr. Hanna<br>PassengerClass=3<br>shap=-16.879",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>PassengerClass=1<br>shap=48.192",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>PassengerClass=1<br>shap=68.282",
+          "None=Lindell, Mr. Edvard Bengtsson<br>PassengerClass=3<br>shap=-15.797",
+          "None=Daniel, Mr. Robert Williams<br>PassengerClass=1<br>shap=40.395",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>PassengerClass=2<br>shap=-16.300",
+          "None=Shutes, Miss. Elizabeth W<br>PassengerClass=1<br>shap=52.014",
+          "None=Jardin, Mr. Jose Neto<br>PassengerClass=3<br>shap=-13.869",
+          "None=Horgan, Mr. John<br>PassengerClass=3<br>shap=-15.908",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>PassengerClass=3<br>shap=-18.260",
+          "None=Yasbeck, Mr. Antoni<br>PassengerClass=3<br>shap=-17.784",
+          "None=Bostandyeff, Mr. Guentcho<br>PassengerClass=3<br>shap=-13.699",
+          "None=Lundahl, Mr. Johan Svensson<br>PassengerClass=3<br>shap=-13.519",
+          "None=Stahelin-Maeglin, Dr. Max<br>PassengerClass=1<br>shap=74.262",
+          "None=Willey, Mr. Edward<br>PassengerClass=3<br>shap=-13.869",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>PassengerClass=3<br>shap=-18.598",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>PassengerClass=3<br>shap=-19.726",
+          "None=Eitemiller, Mr. George Floyd<br>PassengerClass=2<br>shap=-8.200",
+          "None=Colley, Mr. Edward Pomeroy<br>PassengerClass=1<br>shap=36.492",
+          "None=Coleff, Mr. Peju<br>PassengerClass=3<br>shap=-14.298",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>PassengerClass=2<br>shap=-14.116",
+          "None=Davidson, Mr. Thornton<br>PassengerClass=1<br>shap=42.684",
+          "None=Turja, Miss. Anna Sofia<br>PassengerClass=3<br>shap=-18.722",
+          "None=Hassab, Mr. Hammad<br>PassengerClass=1<br>shap=46.640",
+          "None=Goodwin, Mr. Charles Edward<br>PassengerClass=3<br>shap=-31.534",
+          "None=Panula, Mr. Jaako Arnold<br>PassengerClass=3<br>shap=-31.770",
+          "None=Fischer, Mr. Eberhard Thelander<br>PassengerClass=3<br>shap=-14.192",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>PassengerClass=3<br>shap=-13.231",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>PassengerClass=1<br>shap=56.547",
+          "None=Hansen, Mr. Henrik Juul<br>PassengerClass=3<br>shap=-15.186",
+          "None=Calderhead, Mr. Edward Pennington<br>PassengerClass=1<br>shap=37.997",
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+          "None=Taylor, Mr. Elmer Zebley<br>PassengerClass=1<br>shap=42.089",
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+          "None=Greenberg, Mr. Samuel<br>PassengerClass=2<br>shap=-7.599",
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+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>PassengerClass=1<br>shap=53.504",
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+          "None=Lievens, Mr. Rene Aime<br>PassengerClass=3<br>shap=-14.043",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>PassengerClass=1<br>shap=61.955",
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+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>PassengerClass=1<br>shap=50.976",
+          "None=Johnston, Mr. Andrew G<br>PassengerClass=3<br>shap=-21.466",
+          "None=Ali, Mr. William<br>PassengerClass=3<br>shap=-13.877",
+          "None=Sjoblom, Miss. Anna Sofia<br>PassengerClass=3<br>shap=-18.722",
+          "None=Guggenheim, Mr. Benjamin<br>PassengerClass=1<br>shap=64.117",
+          "None=Leader, Dr. Alice (Farnham)<br>PassengerClass=1<br>shap=44.909",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>PassengerClass=2<br>shap=-13.912",
+          "None=Carter, Master. William Thornton II<br>PassengerClass=1<br>shap=71.258",
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+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>No_of_parents_plus_children_on_board=0<br>shap=-3.116",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>No_of_parents_plus_children_on_board=0<br>shap=-3.106",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>No_of_parents_plus_children_on_board=0<br>shap=-3.628",
+          "None=Backstrom, Mr. Karl Alfred<br>No_of_parents_plus_children_on_board=0<br>shap=-3.659",
+          "None=Blank, Mr. Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-6.747",
+          "None=Ali, Mr. Ahmed<br>No_of_parents_plus_children_on_board=0<br>shap=-3.661",
+          "None=Green, Mr. George Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-3.984",
+          "None=Nenkoff, Mr. Christo<br>No_of_parents_plus_children_on_board=0<br>shap=-3.663",
+          "None=Asplund, Miss. Lillian Gertrud<br>No_of_parents_plus_children_on_board=2<br>shap=10.609",
+          "None=Harknett, Miss. Alice Phoebe<br>No_of_parents_plus_children_on_board=0<br>shap=-3.313",
+          "None=Hunt, Mr. George Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-3.578",
+          "None=Reed, Mr. James George<br>No_of_parents_plus_children_on_board=0<br>shap=-3.663",
+          "None=Stead, Mr. William Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-10.944",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>No_of_parents_plus_children_on_board=0<br>shap=-5.265",
+          "None=Parrish, Mrs. (Lutie Davis)<br>No_of_parents_plus_children_on_board=1<br>shap=11.604",
+          "None=Smith, Mr. Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-3.507",
+          "None=Asplund, Master. Edvin Rojj Felix<br>No_of_parents_plus_children_on_board=2<br>shap=11.288",
+          "None=Healy, Miss. Hanora \"Nora\"<br>No_of_parents_plus_children_on_board=0<br>shap=-2.927",
+          "None=Andrews, Miss. Kornelia Theodosia<br>No_of_parents_plus_children_on_board=0<br>shap=-6.610",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_parents_plus_children_on_board=1<br>shap=6.615",
+          "None=Smith, Mr. Richard William<br>No_of_parents_plus_children_on_board=0<br>shap=-11.038",
+          "None=Connolly, Miss. Kate<br>No_of_parents_plus_children_on_board=0<br>shap=-2.912",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_parents_plus_children_on_board=0<br>shap=-5.288",
+          "None=Levy, Mr. Rene Jacques<br>No_of_parents_plus_children_on_board=0<br>shap=-3.372",
+          "None=Lewy, Mr. Ervin G<br>No_of_parents_plus_children_on_board=0<br>shap=-8.483",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_parents_plus_children_on_board=0<br>shap=-3.663",
+          "None=Sage, Mr. George John Jr<br>No_of_parents_plus_children_on_board=2<br>shap=16.816",
+          "None=Nysveen, Mr. Johan Hansen<br>No_of_parents_plus_children_on_board=0<br>shap=-3.867",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_parents_plus_children_on_board=0<br>shap=-6.882",
+          "None=Denkoff, Mr. Mitto<br>No_of_parents_plus_children_on_board=0<br>shap=-3.663",
+          "None=Burns, Miss. Elizabeth Margaret<br>No_of_parents_plus_children_on_board=0<br>shap=-4.862",
+          "None=Dimic, Mr. Jovan<br>No_of_parents_plus_children_on_board=0<br>shap=-3.523",
+          "None=del Carlo, Mr. Sebastiano<br>No_of_parents_plus_children_on_board=0<br>shap=-3.055",
+          "None=Beavan, Mr. William Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-3.653",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_parents_plus_children_on_board=0<br>shap=-5.203",
+          "None=Widener, Mr. Harry Elkins<br>No_of_parents_plus_children_on_board=2<br>shap=30.245",
+          "None=Gustafsson, Mr. Karl Gideon<br>No_of_parents_plus_children_on_board=0<br>shap=-3.653",
+          "None=Plotcharsky, Mr. Vasil<br>No_of_parents_plus_children_on_board=0<br>shap=-3.663",
+          "None=Goodwin, Master. Sidney Leonard<br>No_of_parents_plus_children_on_board=2<br>shap=14.351",
+          "None=Sadlier, Mr. Matthew<br>No_of_parents_plus_children_on_board=0<br>shap=-3.507",
+          "None=Gustafsson, Mr. Johan Birger<br>No_of_parents_plus_children_on_board=0<br>shap=-3.918",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_parents_plus_children_on_board=2<br>shap=10.741",
+          "None=Niskanen, Mr. Juha<br>No_of_parents_plus_children_on_board=0<br>shap=-3.127",
+          "None=Minahan, Miss. Daisy E<br>No_of_parents_plus_children_on_board=0<br>shap=-6.205",
+          "None=Matthews, Mr. William John<br>No_of_parents_plus_children_on_board=0<br>shap=-3.659",
+          "None=Charters, Mr. David<br>No_of_parents_plus_children_on_board=0<br>shap=-3.502",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_parents_plus_children_on_board=0<br>shap=-3.078",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_parents_plus_children_on_board=1<br>shap=6.659",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>No_of_parents_plus_children_on_board=0<br>shap=-3.329",
+          "None=Peuchen, Major. Arthur Godfrey<br>No_of_parents_plus_children_on_board=0<br>shap=-10.127",
+          "None=Anderson, Mr. Harry<br>No_of_parents_plus_children_on_board=0<br>shap=-9.436",
+          "None=Milling, Mr. Jacob Christian<br>No_of_parents_plus_children_on_board=0<br>shap=-4.011",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_parents_plus_children_on_board=2<br>shap=9.737",
+          "None=Karlsson, Mr. Nils August<br>No_of_parents_plus_children_on_board=0<br>shap=-3.654",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_parents_plus_children_on_board=0<br>shap=-3.725",
+          "None=Bishop, Mr. Dickinson H<br>No_of_parents_plus_children_on_board=0<br>shap=-6.993",
+          "None=Windelov, Mr. Einar<br>No_of_parents_plus_children_on_board=0<br>shap=-3.653",
+          "None=Shellard, Mr. Frederick William<br>No_of_parents_plus_children_on_board=0<br>shap=-3.663",
+          "None=Svensson, Mr. Olof<br>No_of_parents_plus_children_on_board=0<br>shap=-3.661",
+          "None=O'Sullivan, Miss. Bridget Mary<br>No_of_parents_plus_children_on_board=0<br>shap=-3.205",
+          "None=Laitinen, Miss. Kristina Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=-3.174",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>No_of_parents_plus_children_on_board=0<br>shap=-8.632",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_parents_plus_children_on_board=0<br>shap=-10.281",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_parents_plus_children_on_board=0<br>shap=-2.606",
+          "None=Kassem, Mr. Fared<br>No_of_parents_plus_children_on_board=0<br>shap=-3.439",
+          "None=Cacic, Miss. Marija<br>No_of_parents_plus_children_on_board=0<br>shap=-3.316",
+          "None=Hart, Miss. Eva Miriam<br>No_of_parents_plus_children_on_board=2<br>shap=11.413",
+          "None=Butt, Major. Archibald Willingham<br>No_of_parents_plus_children_on_board=0<br>shap=-11.963",
+          "None=Beane, Mr. Edward<br>No_of_parents_plus_children_on_board=0<br>shap=-2.978",
+          "None=Goldsmith, Mr. Frank John<br>No_of_parents_plus_children_on_board=1<br>shap=8.467",
+          "None=Ohman, Miss. Velin<br>No_of_parents_plus_children_on_board=0<br>shap=-2.991",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_parents_plus_children_on_board=1<br>shap=14.712",
+          "None=Morrow, Mr. Thomas Rowan<br>No_of_parents_plus_children_on_board=0<br>shap=-3.507",
+          "None=Harris, Mr. George<br>No_of_parents_plus_children_on_board=0<br>shap=-3.849",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_parents_plus_children_on_board=0<br>shap=-15.701",
+          "None=Patchett, Mr. George<br>No_of_parents_plus_children_on_board=0<br>shap=-3.653",
+          "None=Ross, Mr. John Hugo<br>No_of_parents_plus_children_on_board=0<br>shap=-8.790",
+          "None=Murdlin, Mr. Joseph<br>No_of_parents_plus_children_on_board=0<br>shap=-3.663",
+          "None=Bourke, Miss. Mary<br>No_of_parents_plus_children_on_board=2<br>shap=11.807",
+          "None=Boulos, Mr. Hanna<br>No_of_parents_plus_children_on_board=0<br>shap=-3.439",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_parents_plus_children_on_board=0<br>shap=-7.040",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_parents_plus_children_on_board=0<br>shap=-5.834",
+          "None=Lindell, Mr. Edvard Bengtsson<br>No_of_parents_plus_children_on_board=0<br>shap=-3.635",
+          "None=Daniel, Mr. Robert Williams<br>No_of_parents_plus_children_on_board=0<br>shap=-9.988",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_parents_plus_children_on_board=2<br>shap=9.924",
+          "None=Shutes, Miss. Elizabeth W<br>No_of_parents_plus_children_on_board=0<br>shap=-7.780",
+          "None=Jardin, Mr. Jose Neto<br>No_of_parents_plus_children_on_board=0<br>shap=-3.663",
+          "None=Horgan, Mr. John<br>No_of_parents_plus_children_on_board=0<br>shap=-3.507",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_parents_plus_children_on_board=0<br>shap=-3.395",
+          "None=Yasbeck, Mr. Antoni<br>No_of_parents_plus_children_on_board=0<br>shap=-3.505",
+          "None=Bostandyeff, Mr. Guentcho<br>No_of_parents_plus_children_on_board=0<br>shap=-3.671",
+          "None=Lundahl, Mr. Johan Svensson<br>No_of_parents_plus_children_on_board=0<br>shap=-3.984",
+          "None=Stahelin-Maeglin, Dr. Max<br>No_of_parents_plus_children_on_board=0<br>shap=-7.519",
+          "None=Willey, Mr. Edward<br>No_of_parents_plus_children_on_board=0<br>shap=-3.663",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>No_of_parents_plus_children_on_board=0<br>shap=-2.991",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>No_of_parents_plus_children_on_board=0<br>shap=-3.191",
+          "None=Eitemiller, Mr. George Floyd<br>No_of_parents_plus_children_on_board=0<br>shap=-3.603",
+          "None=Colley, Mr. Edward Pomeroy<br>No_of_parents_plus_children_on_board=0<br>shap=-9.897",
+          "None=Coleff, Mr. Peju<br>No_of_parents_plus_children_on_board=0<br>shap=-3.610",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_parents_plus_children_on_board=1<br>shap=6.275",
+          "None=Davidson, Mr. Thornton<br>No_of_parents_plus_children_on_board=0<br>shap=-12.340",
+          "None=Turja, Miss. Anna Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=-2.985",
+          "None=Hassab, Mr. Hammad<br>No_of_parents_plus_children_on_board=0<br>shap=-6.976",
+          "None=Goodwin, Mr. Charles Edward<br>No_of_parents_plus_children_on_board=2<br>shap=14.361",
+          "None=Panula, Mr. Jaako Arnold<br>No_of_parents_plus_children_on_board=1<br>shap=8.682",
+          "None=Fischer, Mr. Eberhard Thelander<br>No_of_parents_plus_children_on_board=0<br>shap=-3.645",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_parents_plus_children_on_board=0<br>shap=-3.567",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_parents_plus_children_on_board=0<br>shap=-6.080",
+          "None=Hansen, Mr. Henrik Juul<br>No_of_parents_plus_children_on_board=0<br>shap=-3.695",
+          "None=Calderhead, Mr. Edward Pennington<br>No_of_parents_plus_children_on_board=0<br>shap=-9.303",
+          "None=Klaber, Mr. Herman<br>No_of_parents_plus_children_on_board=0<br>shap=-11.168",
+          "None=Taylor, Mr. Elmer Zebley<br>No_of_parents_plus_children_on_board=0<br>shap=-9.722",
+          "None=Larsson, Mr. August Viktor<br>No_of_parents_plus_children_on_board=0<br>shap=-3.667",
+          "None=Greenberg, Mr. Samuel<br>No_of_parents_plus_children_on_board=0<br>shap=-3.923",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_parents_plus_children_on_board=0<br>shap=-3.209",
+          "None=McEvoy, Mr. Michael<br>No_of_parents_plus_children_on_board=0<br>shap=-3.507",
+          "None=Johnson, Mr. Malkolm Joackim<br>No_of_parents_plus_children_on_board=0<br>shap=-3.584",
+          "None=Gillespie, Mr. William Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-3.575",
+          "None=Allen, Miss. Elisabeth Walton<br>No_of_parents_plus_children_on_board=0<br>shap=-7.919",
+          "None=Berriman, Mr. William John<br>No_of_parents_plus_children_on_board=0<br>shap=-3.603",
+          "None=Troupiansky, Mr. Moses Aaron<br>No_of_parents_plus_children_on_board=0<br>shap=-3.603",
+          "None=Williams, Mr. Leslie<br>No_of_parents_plus_children_on_board=0<br>shap=-3.628",
+          "None=Ivanoff, Mr. Kanio<br>No_of_parents_plus_children_on_board=0<br>shap=-3.663",
+          "None=McNamee, Mr. Neal<br>No_of_parents_plus_children_on_board=0<br>shap=-3.677",
+          "None=Connaghton, Mr. Michael<br>No_of_parents_plus_children_on_board=0<br>shap=-3.498",
+          "None=Carlsson, Mr. August Sigfrid<br>No_of_parents_plus_children_on_board=0<br>shap=-3.628",
+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>No_of_parents_plus_children_on_board=0<br>shap=-7.741",
+          "None=Eklund, Mr. Hans Linus<br>No_of_parents_plus_children_on_board=0<br>shap=-3.651",
+          "None=Hogeboom, Mrs. John C (Anna Andrews)<br>No_of_parents_plus_children_on_board=0<br>shap=-6.002",
+          "None=Moran, Mr. Daniel J<br>No_of_parents_plus_children_on_board=0<br>shap=-3.478",
+          "None=Lievens, Mr. Rene Aime<br>No_of_parents_plus_children_on_board=0<br>shap=-3.661",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>No_of_parents_plus_children_on_board=1<br>shap=16.861",
+          "None=Ayoub, Miss. Banoura<br>No_of_parents_plus_children_on_board=0<br>shap=-2.855",
+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>No_of_parents_plus_children_on_board=0<br>shap=-8.080",
+          "None=Johnston, Mr. Andrew G<br>No_of_parents_plus_children_on_board=2<br>shap=12.097",
+          "None=Ali, Mr. William<br>No_of_parents_plus_children_on_board=0<br>shap=-3.674",
+          "None=Sjoblom, Miss. Anna Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=-2.985",
+          "None=Guggenheim, Mr. Benjamin<br>No_of_parents_plus_children_on_board=0<br>shap=-7.520",
+          "None=Leader, Dr. Alice (Farnham)<br>No_of_parents_plus_children_on_board=0<br>shap=-6.232",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>No_of_parents_plus_children_on_board=1<br>shap=6.731",
+          "None=Carter, Master. William Thornton II<br>No_of_parents_plus_children_on_board=2<br>shap=32.785",
+          "None=Thomas, Master. Assad Alexander<br>No_of_parents_plus_children_on_board=1<br>shap=8.650",
+          "None=Johansson, Mr. Karl Johan<br>No_of_parents_plus_children_on_board=0<br>shap=-3.646",
+          "None=Slemen, Mr. Richard James<br>No_of_parents_plus_children_on_board=0<br>shap=-3.574",
+          "None=Tomlin, Mr. Ernest Portage<br>No_of_parents_plus_children_on_board=0<br>shap=-3.669",
+          "None=McCormack, Mr. Thomas Joseph<br>No_of_parents_plus_children_on_board=0<br>shap=-3.197",
+          "None=Richards, Master. George Sibley<br>No_of_parents_plus_children_on_board=1<br>shap=7.657",
+          "None=Mudd, Mr. Thomas Charles<br>No_of_parents_plus_children_on_board=0<br>shap=-3.556",
+          "None=Lemberopolous, Mr. Peter L<br>No_of_parents_plus_children_on_board=0<br>shap=-3.277",
+          "None=Sage, Mr. Douglas Bullen<br>No_of_parents_plus_children_on_board=2<br>shap=16.816",
+          "None=Boulos, Miss. Nourelain<br>No_of_parents_plus_children_on_board=1<br>shap=7.453",
+          "None=Aks, Mrs. Sam (Leah Rosen)<br>No_of_parents_plus_children_on_board=1<br>shap=8.221",
+          "None=Razi, Mr. Raihed<br>No_of_parents_plus_children_on_board=0<br>shap=-3.439",
+          "None=Johnson, Master. Harold Theodor<br>No_of_parents_plus_children_on_board=1<br>shap=7.857",
+          "None=Carlsson, Mr. Frans Olof<br>No_of_parents_plus_children_on_board=0<br>shap=-13.292",
+          "None=Gustafsson, Mr. Alfred Ossian<br>No_of_parents_plus_children_on_board=0<br>shap=-3.653",
+          "None=Montvila, Rev. Juozas<br>No_of_parents_plus_children_on_board=0<br>shap=-3.658"
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+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-1.808",
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+          "None=Green, Mr. George Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.965",
+          "None=Nenkoff, Mr. Christo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.904",
+          "None=Asplund, Miss. Lillian Gertrud<br>No_of_siblings_plus_spouses_on_board=4<br>shap=18.420",
+          "None=Harknett, Miss. Alice Phoebe<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.706",
+          "None=Hunt, Mr. George Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-4.005",
+          "None=Reed, Mr. James George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.904",
+          "None=Stead, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-5.182",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.477",
+          "None=Parrish, Mrs. (Lutie Davis)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-3.253",
+          "None=Smith, Mr. Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.844",
+          "None=Asplund, Master. Edvin Rojj Felix<br>No_of_siblings_plus_spouses_on_board=4<br>shap=18.733",
+          "None=Healy, Miss. Hanora \"Nora\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.473",
+          "None=Andrews, Miss. Kornelia Theodosia<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.367",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.064",
+          "None=Smith, Mr. Richard William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-5.189",
+          "None=Connolly, Miss. Kate<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.440",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.670",
+          "None=Levy, Mr. Rene Jacques<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-3.910",
+          "None=Lewy, Mr. Ervin G<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-4.306",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.904",
+          "None=Sage, Mr. George John Jr<br>No_of_siblings_plus_spouses_on_board=8<br>shap=47.929",
+          "None=Nysveen, Mr. Johan Hansen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.969",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-1.800",
+          "None=Denkoff, Mr. Mitto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.904",
+          "None=Burns, Miss. Elizabeth Margaret<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-3.374",
+          "None=Dimic, Mr. Jovan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.826",
+          "None=del Carlo, Mr. Sebastiano<br>No_of_siblings_plus_spouses_on_board=1<br>shap=4.158",
+          "None=Beavan, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.841",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-1.471",
+          "None=Widener, Mr. Harry Elkins<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-7.422",
+          "None=Gustafsson, Mr. Karl Gideon<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.841",
+          "None=Plotcharsky, Mr. Vasil<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.904",
+          "None=Goodwin, Master. Sidney Leonard<br>No_of_siblings_plus_spouses_on_board=5<br>shap=30.033",
+          "None=Sadlier, Mr. Matthew<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.844",
+          "None=Gustafsson, Mr. Johan Birger<br>No_of_siblings_plus_spouses_on_board=2<br>shap=16.779",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-3.666",
+          "None=Niskanen, Mr. Juha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.573",
+          "None=Minahan, Miss. Daisy E<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.080",
+          "None=Matthews, Mr. William John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-4.031",
+          "None=Charters, Mr. David<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.780",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-3.499",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=1.249",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.661",
+          "None=Peuchen, Major. Arthur Godfrey<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-5.170",
+          "None=Anderson, Mr. Harry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-5.187",
+          "None=Milling, Mr. Jacob Christian<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-4.164",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=1.584",
+          "None=Karlsson, Mr. Nils August<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.841",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-4.054",
+          "None=Bishop, Mr. Dickinson H<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.137",
+          "None=Windelov, Mr. Einar<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.841",
+          "None=Shellard, Mr. Frederick William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.904",
+          "None=Svensson, Mr. Olof<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.873",
+          "None=O'Sullivan, Miss. Bridget Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.669",
+          "None=Laitinen, Miss. Kristina Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.577",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>No_of_siblings_plus_spouses_on_board=1<br>shap=2.357",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-4.853",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=3.870",
+          "None=Kassem, Mr. Fared<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.848",
+          "None=Cacic, Miss. Marija<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.649",
+          "None=Hart, Miss. Eva Miriam<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-3.558",
+          "None=Butt, Major. Archibald Willingham<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-4.578",
+          "None=Beane, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=1<br>shap=4.084",
+          "None=Goldsmith, Mr. Frank John<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.395",
+          "None=Ohman, Miss. Velin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.461",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-2.906",
+          "None=Morrow, Mr. Thomas Rowan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.844",
+          "None=Harris, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-3.949",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_siblings_plus_spouses_on_board=2<br>shap=35.224",
+          "None=Patchett, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.841",
+          "None=Ross, Mr. John Hugo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-3.709",
+          "None=Murdlin, Mr. Joseph<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.904",
+          "None=Bourke, Miss. Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-3.529",
+          "None=Boulos, Mr. Hanna<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.848",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_siblings_plus_spouses_on_board=1<br>shap=2.880",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-3.164",
+          "None=Lindell, Mr. Edvard Bengtsson<br>No_of_siblings_plus_spouses_on_board=1<br>shap=2.372",
+          "None=Daniel, Mr. Robert Williams<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-4.956",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=1.520",
+          "None=Shutes, Miss. Elizabeth W<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-3.722",
+          "None=Jardin, Mr. Jose Neto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.904",
+          "None=Horgan, Mr. John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.844",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=1.982",
+          "None=Yasbeck, Mr. Antoni<br>No_of_siblings_plus_spouses_on_board=1<br>shap=2.295",
+          "None=Bostandyeff, Mr. Guentcho<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.869",
+          "None=Lundahl, Mr. Johan Svensson<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.965",
+          "None=Stahelin-Maeglin, Dr. Max<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.914",
+          "None=Willey, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.904",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.465",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.590",
+          "None=Eitemiller, Mr. George Floyd<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-4.011",
+          "None=Colley, Mr. Edward Pomeroy<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-5.187",
+          "None=Coleff, Mr. Peju<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.810",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=1.160",
+          "None=Davidson, Mr. Thornton<br>No_of_siblings_plus_spouses_on_board=1<br>shap=2.248",
+          "None=Turja, Miss. Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.443",
+          "None=Hassab, Mr. Hammad<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-4.634",
+          "None=Goodwin, Mr. Charles Edward<br>No_of_siblings_plus_spouses_on_board=5<br>shap=30.032",
+          "None=Panula, Mr. Jaako Arnold<br>No_of_siblings_plus_spouses_on_board=4<br>shap=18.928",
+          "None=Fischer, Mr. Eberhard Thelander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.823",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.869",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.076",
+          "None=Hansen, Mr. Henrik Juul<br>No_of_siblings_plus_spouses_on_board=1<br>shap=2.354",
+          "None=Calderhead, Mr. Edward Pennington<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-5.017",
+          "None=Klaber, Mr. Herman<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-5.087",
+          "None=Taylor, Mr. Elmer Zebley<br>No_of_siblings_plus_spouses_on_board=1<br>shap=3.859",
+          "None=Larsson, Mr. August Viktor<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.874",
+          "None=Greenberg, Mr. Samuel<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-4.173",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-3.629",
+          "None=McEvoy, Mr. Michael<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.844",
+          "None=Johnson, Mr. Malkolm Joackim<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.841",
+          "None=Gillespie, Mr. William Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-3.980",
+          "None=Allen, Miss. Elisabeth Walton<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-4.003",
+          "None=Berriman, Mr. William John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-4.011",
+          "None=Troupiansky, Mr. Moses Aaron<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-4.011",
+          "None=Williams, Mr. Leslie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.860",
+          "None=Ivanoff, Mr. Kanio<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.904",
+          "None=McNamee, Mr. Neal<br>No_of_siblings_plus_spouses_on_board=1<br>shap=2.387",
+          "None=Connaghton, Mr. Michael<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.813",
+          "None=Carlsson, Mr. August Sigfrid<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.860",
+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-3.925",
+          "None=Eklund, Mr. Hans Linus<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.825",
+          "None=Hogeboom, Mrs. John C (Anna Andrews)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.358",
+          "None=Moran, Mr. Daniel J<br>No_of_siblings_plus_spouses_on_board=1<br>shap=2.426",
+          "None=Lievens, Mr. Rene Aime<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.873",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-5.016",
+          "None=Ayoub, Miss. Banoura<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.429",
+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.537",
+          "None=Johnston, Mr. Andrew G<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.558",
+          "None=Ali, Mr. William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.875",
+          "None=Sjoblom, Miss. Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.443",
+          "None=Guggenheim, Mr. Benjamin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-3.870",
+          "None=Leader, Dr. Alice (Farnham)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-4.056",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=1.117",
+          "None=Carter, Master. William Thornton II<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-4.552",
+          "None=Thomas, Master. Assad Alexander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-3.106",
+          "None=Johansson, Mr. Karl Johan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.875",
+          "None=Slemen, Mr. Richard James<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-3.961",
+          "None=Tomlin, Mr. Ernest Portage<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.875",
+          "None=McCormack, Mr. Thomas Joseph<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.618",
+          "None=Richards, Master. George Sibley<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.951",
+          "None=Mudd, Mr. Thomas Charles<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-3.800",
+          "None=Lemberopolous, Mr. Peter L<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.704",
+          "None=Sage, Mr. Douglas Bullen<br>No_of_siblings_plus_spouses_on_board=8<br>shap=47.929",
+          "None=Boulos, Miss. Nourelain<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.110",
+          "None=Aks, Mrs. Sam (Leah Rosen)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-3.005",
+          "None=Razi, Mr. Raihed<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.848",
+          "None=Johnson, Master. Harold Theodor<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.153",
+          "None=Carlsson, Mr. Frans Olof<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-4.652",
+          "None=Gustafsson, Mr. Alfred Ossian<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-2.841",
+          "None=Montvila, Rev. Juozas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-4.028"
+         ],
+         "type": "scattergl",
+         "x": [
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+          "None=Butt, Major. Archibald Willingham<br>Embarked=Embarked_Southampton<br>shap=-14.649",
+          "None=Beane, Mr. Edward<br>Embarked=Embarked_Southampton<br>shap=-1.193",
+          "None=Goldsmith, Mr. Frank John<br>Embarked=Embarked_Southampton<br>shap=-1.008",
+          "None=Ohman, Miss. Velin<br>Embarked=Embarked_Southampton<br>shap=-1.080",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Embarked=Embarked_Southampton<br>shap=-4.449",
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+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Embarked=Embarked_Southampton<br>shap=-3.260",
+          "None=Patchett, Mr. George<br>Embarked=Embarked_Southampton<br>shap=-1.151",
+          "None=Murdlin, Mr. Joseph<br>Embarked=Embarked_Southampton<br>shap=-1.100",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Embarked=Embarked_Southampton<br>shap=-1.636",
+          "None=Daniel, Mr. Robert Williams<br>Embarked=Embarked_Southampton<br>shap=-6.627",
+          "None=Shutes, Miss. Elizabeth W<br>Embarked=Embarked_Southampton<br>shap=-6.628",
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+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Embarked=Embarked_Southampton<br>shap=-1.049",
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+          "None=Willey, Mr. Edward<br>Embarked=Embarked_Southampton<br>shap=-1.100",
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+          "None=Fischer, Mr. Eberhard Thelander<br>Embarked=Embarked_Southampton<br>shap=-1.151",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Embarked=Embarked_Southampton<br>shap=-1.238",
+          "None=Hansen, Mr. Henrik Juul<br>Embarked=Embarked_Southampton<br>shap=-1.073",
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+          "None=Johnson, Mr. Malkolm Joackim<br>Embarked=Embarked_Southampton<br>shap=-1.427",
+          "None=Gillespie, Mr. William Henry<br>Embarked=Embarked_Southampton<br>shap=-1.883",
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+          "None=Berriman, Mr. William John<br>Embarked=Embarked_Southampton<br>shap=-1.156",
+          "None=Troupiansky, Mr. Moses Aaron<br>Embarked=Embarked_Southampton<br>shap=-1.156",
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+          "None=Palsson, Master. Gosta Leonard<br>Deck=Deck_Unkown<br>shap=-0.552",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Deck=Deck_Unkown<br>shap=0.390",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>Deck=Deck_Unkown<br>shap=0.863",
+          "None=Saundercock, Mr. William Henry<br>Deck=Deck_Unkown<br>shap=-0.077",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>Deck=Deck_Unkown<br>shap=0.663",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Deck=Deck_Unkown<br>shap=0.523",
+          "None=Glynn, Miss. Mary Agatha<br>Deck=Deck_Unkown<br>shap=0.738",
+          "None=Meyer, Mr. Edgar Joseph<br>Deck=Deck_Unkown<br>shap=-1.644",
+          "None=Kraeff, Mr. Theodor<br>Deck=Deck_Unkown<br>shap=-0.058",
+          "None=Devaney, Miss. Margaret Delia<br>Deck=Deck_Unkown<br>shap=0.771",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Deck=Deck_Unkown<br>shap=0.485",
+          "None=Rugg, Miss. Emily<br>Deck=Deck_Unkown<br>shap=0.805",
+          "None=Skoog, Master. Harald<br>Deck=Deck_Unkown<br>shap=-0.512",
+          "None=Kink, Mr. Vincenz<br>Deck=Deck_Unkown<br>shap=-0.291",
+          "None=Hood, Mr. Ambrose Jr<br>Deck=Deck_Unkown<br>shap=-0.080",
+          "None=Ilett, Miss. Bertha<br>Deck=Deck_Unkown<br>shap=0.805",
+          "None=Ford, Mr. William Neal<br>Deck=Deck_Unkown<br>shap=-0.452",
+          "None=Christmann, Mr. Emil<br>Deck=Deck_Unkown<br>shap=-0.060",
+          "None=Andreasson, Mr. Paul Edvin<br>Deck=Deck_Unkown<br>shap=-0.077",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Deck=Deck_Unkown<br>shap=-0.115",
+          "None=Rekic, Mr. Tido<br>Deck=Deck_Unkown<br>shap=0.048",
+          "None=Moran, Miss. Bertha<br>Deck=Deck_Unkown<br>shap=0.545",
+          "None=Barton, Mr. David John<br>Deck=Deck_Unkown<br>shap=-0.079",
+          "None=Jussila, Miss. Katriina<br>Deck=Deck_Unkown<br>shap=0.486",
+          "None=Pekoniemi, Mr. Edvard<br>Deck=Deck_Unkown<br>shap=-0.078",
+          "None=Turpin, Mr. William John Robert<br>Deck=Deck_Unkown<br>shap=-0.089",
+          "None=Moore, Mr. Leonard Charles<br>Deck=Deck_Unkown<br>shap=-0.115",
+          "None=Osen, Mr. Olaf Elon<br>Deck=Deck_Unkown<br>shap=-0.073",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Deck=Deck_Unkown<br>shap=-0.139",
+          "None=Bateman, Rev. Robert James<br>Deck=Deck_Unkown<br>shap=0.112",
+          "None=Meo, Mr. Alfonzo<br>Deck=Deck_Unkown<br>shap=0.134",
+          "None=Cribb, Mr. John Hatfield<br>Deck=Deck_Unkown<br>shap=-0.349",
+          "None=Sivola, Mr. Antti Wilhelm<br>Deck=Deck_Unkown<br>shap=-0.078",
+          "None=Klasen, Mr. Klas Albin<br>Deck=Deck_Unkown<br>shap=-0.532",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Deck=Deck_Unkown<br>shap=0.613",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Deck=Deck_Unkown<br>shap=-0.060",
+          "None=Backstrom, Mr. Karl Alfred<br>Deck=Deck_Unkown<br>shap=-0.127",
+          "None=Ali, Mr. Ahmed<br>Deck=Deck_Unkown<br>shap=-0.084",
+          "None=Green, Mr. George Henry<br>Deck=Deck_Unkown<br>shap=0.113",
+          "None=Nenkoff, Mr. Christo<br>Deck=Deck_Unkown<br>shap=-0.115",
+          "None=Asplund, Miss. Lillian Gertrud<br>Deck=Deck_Unkown<br>shap=-0.086",
+          "None=Harknett, Miss. Alice Phoebe<br>Deck=Deck_Unkown<br>shap=0.651",
+          "None=Hunt, Mr. George Henry<br>Deck=Deck_Unkown<br>shap=0.039",
+          "None=Reed, Mr. James George<br>Deck=Deck_Unkown<br>shap=-0.115",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Deck=Deck_Unkown<br>shap=9.146",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Deck=Deck_Unkown<br>shap=0.592",
+          "None=Smith, Mr. Thomas<br>Deck=Deck_Unkown<br>shap=-0.090",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Deck=Deck_Unkown<br>shap=-0.486",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Deck=Deck_Unkown<br>shap=0.738",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Deck=Deck_Unkown<br>shap=0.294",
+          "None=Connolly, Miss. Kate<br>Deck=Deck_Unkown<br>shap=0.769",
+          "None=Lewy, Mr. Ervin G<br>Deck=Deck_Unkown<br>shap=-2.035",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Deck=Deck_Unkown<br>shap=-0.115",
+          "None=Sage, Mr. George John Jr<br>Deck=Deck_Unkown<br>shap=-0.517",
+          "None=Nysveen, Mr. Johan Hansen<br>Deck=Deck_Unkown<br>shap=0.133",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Deck=Deck_Unkown<br>shap=3.845",
+          "None=Denkoff, Mr. Mitto<br>Deck=Deck_Unkown<br>shap=-0.115",
+          "None=Dimic, Mr. Jovan<br>Deck=Deck_Unkown<br>shap=0.108",
+          "None=del Carlo, Mr. Sebastiano<br>Deck=Deck_Unkown<br>shap=-0.046",
+          "None=Beavan, Mr. William Thomas<br>Deck=Deck_Unkown<br>shap=-0.077",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Deck=Deck_Unkown<br>shap=6.834",
+          "None=Gustafsson, Mr. Karl Gideon<br>Deck=Deck_Unkown<br>shap=-0.077",
+          "None=Plotcharsky, Mr. Vasil<br>Deck=Deck_Unkown<br>shap=-0.115",
+          "None=Goodwin, Master. Sidney Leonard<br>Deck=Deck_Unkown<br>shap=-0.510",
+          "None=Sadlier, Mr. Matthew<br>Deck=Deck_Unkown<br>shap=-0.090",
+          "None=Gustafsson, Mr. Johan Birger<br>Deck=Deck_Unkown<br>shap=-0.281",
+          "None=Niskanen, Mr. Juha<br>Deck=Deck_Unkown<br>shap=0.097",
+          "None=Matthews, Mr. William John<br>Deck=Deck_Unkown<br>shap=-0.103",
+          "None=Charters, Mr. David<br>Deck=Deck_Unkown<br>shap=-0.056",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Deck=Deck_Unkown<br>shap=0.806",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Deck=Deck_Unkown<br>shap=0.409",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Deck=Deck_Unkown<br>shap=-0.056",
+          "None=Milling, Mr. Jacob Christian<br>Deck=Deck_Unkown<br>shap=0.113",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Deck=Deck_Unkown<br>shap=0.310",
+          "None=Karlsson, Mr. Nils August<br>Deck=Deck_Unkown<br>shap=-0.079",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Deck=Deck_Unkown<br>shap=-0.116",
+          "None=Windelov, Mr. Einar<br>Deck=Deck_Unkown<br>shap=-0.078",
+          "None=Shellard, Mr. Frederick William<br>Deck=Deck_Unkown<br>shap=-0.115",
+          "None=Svensson, Mr. Olof<br>Deck=Deck_Unkown<br>shap=-0.084",
+          "None=O'Sullivan, Miss. Bridget Mary<br>Deck=Deck_Unkown<br>shap=0.639",
+          "None=Laitinen, Miss. Kristina Sofia<br>Deck=Deck_Unkown<br>shap=0.991",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Deck=Deck_Unkown<br>shap=-1.412",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Deck=Deck_Unkown<br>shap=0.886",
+          "None=Kassem, Mr. Fared<br>Deck=Deck_Unkown<br>shap=-0.058",
+          "None=Cacic, Miss. Marija<br>Deck=Deck_Unkown<br>shap=0.634",
+          "None=Hart, Miss. Eva Miriam<br>Deck=Deck_Unkown<br>shap=0.382",
+          "None=Beane, Mr. Edward<br>Deck=Deck_Unkown<br>shap=-0.068",
+          "None=Goldsmith, Mr. Frank John<br>Deck=Deck_Unkown<br>shap=-0.452",
+          "None=Ohman, Miss. Velin<br>Deck=Deck_Unkown<br>shap=0.806",
+          "None=Morrow, Mr. Thomas Rowan<br>Deck=Deck_Unkown<br>shap=-0.090",
+          "None=Harris, Mr. George<br>Deck=Deck_Unkown<br>shap=0.160",
+          "None=Patchett, Mr. George<br>Deck=Deck_Unkown<br>shap=-0.077",
+          "None=Murdlin, Mr. Joseph<br>Deck=Deck_Unkown<br>shap=-0.115",
+          "None=Bourke, Miss. Mary<br>Deck=Deck_Unkown<br>shap=0.289",
+          "None=Boulos, Mr. Hanna<br>Deck=Deck_Unkown<br>shap=-0.058",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>Deck=Deck_Unkown<br>shap=0.435",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Deck=Deck_Unkown<br>shap=0.017",
+          "None=Daniel, Mr. Robert Williams<br>Deck=Deck_Unkown<br>shap=-1.049",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Deck=Deck_Unkown<br>shap=0.565",
+          "None=Jardin, Mr. Jose Neto<br>Deck=Deck_Unkown<br>shap=-0.115",
+          "None=Horgan, Mr. John<br>Deck=Deck_Unkown<br>shap=-0.090",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Deck=Deck_Unkown<br>shap=0.455",
+          "None=Yasbeck, Mr. Antoni<br>Deck=Deck_Unkown<br>shap=-0.068",
+          "None=Bostandyeff, Mr. Guentcho<br>Deck=Deck_Unkown<br>shap=-0.083",
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+          "None=Willey, Mr. Edward<br>Deck=Deck_Unkown<br>shap=-0.115",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>Deck=Deck_Unkown<br>shap=0.806",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>Deck=Deck_Unkown<br>shap=0.672",
+          "None=Eitemiller, Mr. George Floyd<br>Deck=Deck_Unkown<br>shap=-0.081",
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+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Deck=Deck_Unkown<br>shap=0.345",
+          "None=Turja, Miss. Anna Sofia<br>Deck=Deck_Unkown<br>shap=0.807",
+          "None=Goodwin, Mr. Charles Edward<br>Deck=Deck_Unkown<br>shap=-0.510",
+          "None=Panula, Mr. Jaako Arnold<br>Deck=Deck_Unkown<br>shap=-0.552",
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-          "index=Larsson, Mr. August Viktor<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Greenberg, Mr. Samuel<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=McEvoy, Mr. Michael<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Johnson, Mr. Malkolm Joackim<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Gillespie, Mr. William Henry<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Allen, Miss. Elisabeth Walton<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Berriman, Mr. William John<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Troupiansky, Mr. Moses Aaron<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Williams, Mr. Leslie<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Ivanoff, Mr. Kanio<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=McNamee, Mr. Neal<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Connaghton, Mr. Michael<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Carlsson, Mr. August Sigfrid<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Eklund, Mr. Hans Linus<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Moran, Mr. Daniel J<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Lievens, Mr. Rene Aime<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Ayoub, Miss. Banoura<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Johnston, Mr. Andrew G<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Ali, Mr. William<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Sjoblom, Miss. Anna Sofia<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Guggenheim, Mr. Benjamin<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Leader, Dr. Alice (Farnham)<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Carter, Master. William Thornton II<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Thomas, Master. Assad Alexander<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Johansson, Mr. Karl Johan<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Slemen, Mr. Richard James<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Tomlin, Mr. Ernest Portage<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=McCormack, Mr. Thomas Joseph<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Richards, Master. George Sibley<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Mudd, Mr. Thomas Charles<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Lemberopolous, Mr. Peter L<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Sage, Mr. Douglas Bullen<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Boulos, Miss. Nourelain<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Razi, Mr. Raihed<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Johnson, Master. Harold Theodor<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Carlsson, Mr. Frans Olof<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Embarked_Unknown=0<br>shap=0.0",
-          "index=Montvila, Rev. Juozas<br>Embarked_Unknown=0<br>shap=0.0"
+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Survival=1<br>shap=1.957",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Survival=1<br>shap=0.993",
+          "None=Palsson, Master. Gosta Leonard<br>Survival=0<br>shap=-0.189",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Survival=1<br>shap=0.478",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>Survival=1<br>shap=0.573",
+          "None=Saundercock, Mr. William Henry<br>Survival=0<br>shap=-0.918",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>Survival=0<br>shap=-0.836",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Survival=1<br>shap=0.334",
+          "None=Glynn, Miss. Mary Agatha<br>Survival=1<br>shap=1.446",
+          "None=Meyer, Mr. Edgar Joseph<br>Survival=0<br>shap=-3.469",
+          "None=Kraeff, Mr. Theodor<br>Survival=0<br>shap=-1.028",
+          "None=Devaney, Miss. Margaret Delia<br>Survival=1<br>shap=1.386",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Survival=0<br>shap=-0.687",
+          "None=Rugg, Miss. Emily<br>Survival=1<br>shap=0.679",
+          "None=Harris, Mr. Henry Birkhardt<br>Survival=0<br>shap=-1.296",
+          "None=Skoog, Master. Harald<br>Survival=0<br>shap=-0.149",
+          "None=Kink, Mr. Vincenz<br>Survival=0<br>shap=-0.441",
+          "None=Hood, Mr. Ambrose Jr<br>Survival=0<br>shap=-0.599",
+          "None=Ilett, Miss. Bertha<br>Survival=1<br>shap=0.679",
+          "None=Ford, Mr. William Neal<br>Survival=0<br>shap=-0.224",
+          "None=Christmann, Mr. Emil<br>Survival=0<br>shap=-0.928",
+          "None=Andreasson, Mr. Paul Edvin<br>Survival=0<br>shap=-0.918",
+          "None=Chaffee, Mr. Herbert Fuller<br>Survival=0<br>shap=-1.905",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Survival=0<br>shap=-0.948",
+          "None=White, Mr. Richard Frasar<br>Survival=0<br>shap=0.715",
+          "None=Rekic, Mr. Tido<br>Survival=0<br>shap=-1.087",
+          "None=Moran, Miss. Bertha<br>Survival=1<br>shap=0.996",
+          "None=Barton, Mr. David John<br>Survival=0<br>shap=-0.918",
+          "None=Jussila, Miss. Katriina<br>Survival=0<br>shap=-0.687",
+          "None=Pekoniemi, Mr. Edvard<br>Survival=0<br>shap=-0.918",
+          "None=Turpin, Mr. William John Robert<br>Survival=0<br>shap=-0.530",
+          "None=Moore, Mr. Leonard Charles<br>Survival=0<br>shap=-0.948",
+          "None=Osen, Mr. Olaf Elon<br>Survival=0<br>shap=-0.918",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Survival=0<br>shap=-0.092",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Survival=0<br>shap=-0.290",
+          "None=Bateman, Rev. Robert James<br>Survival=0<br>shap=-0.780",
+          "None=Meo, Mr. Alfonzo<br>Survival=0<br>shap=-1.127",
+          "None=Cribb, Mr. John Hatfield<br>Survival=0<br>shap=-0.529",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Survival=1<br>shap=0.561",
+          "None=Van der hoef, Mr. Wyckoff<br>Survival=0<br>shap=-8.147",
+          "None=Sivola, Mr. Antti Wilhelm<br>Survival=0<br>shap=-0.918",
+          "None=Klasen, Mr. Klas Albin<br>Survival=0<br>shap=-0.297",
+          "None=Rood, Mr. Hugh Roscoe<br>Survival=0<br>shap=-1.654",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Survival=1<br>shap=1.121",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Survival=1<br>shap=4.472",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Survival=0<br>shap=-0.928",
+          "None=Backstrom, Mr. Karl Alfred<br>Survival=0<br>shap=-0.856",
+          "None=Blank, Mr. Henry<br>Survival=1<br>shap=2.813",
+          "None=Ali, Mr. Ahmed<br>Survival=0<br>shap=-0.918",
+          "None=Green, Mr. George Henry<br>Survival=0<br>shap=-1.127",
+          "None=Nenkoff, Mr. Christo<br>Survival=0<br>shap=-0.948",
+          "None=Asplund, Miss. Lillian Gertrud<br>Survival=1<br>shap=0.125",
+          "None=Harknett, Miss. Alice Phoebe<br>Survival=0<br>shap=-0.861",
+          "None=Hunt, Mr. George Henry<br>Survival=0<br>shap=-0.732",
+          "None=Reed, Mr. James George<br>Survival=0<br>shap=-0.948",
+          "None=Stead, Mr. William Thomas<br>Survival=0<br>shap=-1.433",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Survival=1<br>shap=2.425",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Survival=1<br>shap=0.873",
+          "None=Smith, Mr. Thomas<br>Survival=0<br>shap=-0.945",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Survival=1<br>shap=0.135",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Survival=1<br>shap=1.446",
+          "None=Andrews, Miss. Kornelia Theodosia<br>Survival=1<br>shap=1.330",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Survival=1<br>shap=0.561",
+          "None=Smith, Mr. Richard William<br>Survival=0<br>shap=-1.654",
+          "None=Connolly, Miss. Kate<br>Survival=1<br>shap=1.386",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Survival=1<br>shap=2.837",
+          "None=Levy, Mr. Rene Jacques<br>Survival=0<br>shap=-0.902",
+          "None=Lewy, Mr. Ervin G<br>Survival=0<br>shap=-3.690",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Survival=0<br>shap=-0.948",
+          "None=Sage, Mr. George John Jr<br>Survival=0<br>shap=-0.292",
+          "None=Nysveen, Mr. Johan Hansen<br>Survival=0<br>shap=-1.120",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Survival=1<br>shap=1.661",
+          "None=Denkoff, Mr. Mitto<br>Survival=0<br>shap=-0.948",
+          "None=Burns, Miss. Elizabeth Margaret<br>Survival=1<br>shap=2.642",
+          "None=Dimic, Mr. Jovan<br>Survival=0<br>shap=-1.097",
+          "None=del Carlo, Mr. Sebastiano<br>Survival=0<br>shap=-0.643",
+          "None=Beavan, Mr. William Thomas<br>Survival=0<br>shap=-0.918",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Survival=1<br>shap=2.243",
+          "None=Widener, Mr. Harry Elkins<br>Survival=0<br>shap=0.695",
+          "None=Gustafsson, Mr. Karl Gideon<br>Survival=0<br>shap=-0.918",
+          "None=Plotcharsky, Mr. Vasil<br>Survival=0<br>shap=-0.948",
+          "None=Goodwin, Master. Sidney Leonard<br>Survival=0<br>shap=-0.241",
+          "None=Sadlier, Mr. Matthew<br>Survival=0<br>shap=-0.945",
+          "None=Gustafsson, Mr. Johan Birger<br>Survival=0<br>shap=-0.447",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Survival=1<br>shap=0.428",
+          "None=Niskanen, Mr. Juha<br>Survival=1<br>shap=1.991",
+          "None=Minahan, Miss. Daisy E<br>Survival=1<br>shap=1.063",
+          "None=Matthews, Mr. William John<br>Survival=0<br>shap=-0.610",
+          "None=Charters, Mr. David<br>Survival=0<br>shap=-0.914",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Survival=1<br>shap=0.679",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Survival=1<br>shap=0.392",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Survival=1<br>shap=1.721",
+          "None=Peuchen, Major. Arthur Godfrey<br>Survival=1<br>shap=1.294",
+          "None=Anderson, Mr. Harry<br>Survival=1<br>shap=1.673",
+          "None=Milling, Mr. Jacob Christian<br>Survival=0<br>shap=-0.780",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Survival=1<br>shap=0.337",
+          "None=Karlsson, Mr. Nils August<br>Survival=0<br>shap=-0.918",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Survival=0<br>shap=-0.630",
+          "None=Bishop, Mr. Dickinson H<br>Survival=1<br>shap=4.746",
+          "None=Windelov, Mr. Einar<br>Survival=0<br>shap=-0.918",
+          "None=Shellard, Mr. Frederick William<br>Survival=0<br>shap=-0.948",
+          "None=Svensson, Mr. Olof<br>Survival=0<br>shap=-0.918",
+          "None=O'Sullivan, Miss. Bridget Mary<br>Survival=0<br>shap=-0.885",
+          "None=Laitinen, Miss. Kristina Sofia<br>Survival=0<br>shap=-0.994",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>Survival=0<br>shap=-1.284",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Survival=1<br>shap=1.937",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Survival=1<br>shap=0.729",
+          "None=Kassem, Mr. Fared<br>Survival=0<br>shap=-1.028",
+          "None=Cacic, Miss. Marija<br>Survival=0<br>shap=-0.842",
+          "None=Hart, Miss. Eva Miriam<br>Survival=1<br>shap=0.326",
+          "None=Butt, Major. Archibald Willingham<br>Survival=0<br>shap=-8.158",
+          "None=Beane, Mr. Edward<br>Survival=1<br>shap=0.794",
+          "None=Goldsmith, Mr. Frank John<br>Survival=0<br>shap=-0.430",
+          "None=Ohman, Miss. Velin<br>Survival=1<br>shap=1.546",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Survival=1<br>shap=0.696",
+          "None=Morrow, Mr. Thomas Rowan<br>Survival=0<br>shap=-0.945",
+          "None=Harris, Mr. George<br>Survival=1<br>shap=1.080",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Survival=1<br>shap=0.814",
+          "None=Patchett, Mr. George<br>Survival=0<br>shap=-0.918",
+          "None=Ross, Mr. John Hugo<br>Survival=0<br>shap=-5.165",
+          "None=Murdlin, Mr. Joseph<br>Survival=0<br>shap=-0.948",
+          "None=Bourke, Miss. Mary<br>Survival=0<br>shap=-0.343",
+          "None=Boulos, Mr. Hanna<br>Survival=0<br>shap=-1.028",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Survival=1<br>shap=2.555",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>Survival=1<br>shap=4.398",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Survival=0<br>shap=-0.916",
+          "None=Daniel, Mr. Robert Williams<br>Survival=1<br>shap=1.909",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Survival=1<br>shap=0.284",
+          "None=Shutes, Miss. Elizabeth W<br>Survival=1<br>shap=1.104",
+          "None=Jardin, Mr. Jose Neto<br>Survival=0<br>shap=-0.948",
+          "None=Horgan, Mr. John<br>Survival=0<br>shap=-0.945",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Survival=0<br>shap=-0.687",
+          "None=Yasbeck, Mr. Antoni<br>Survival=0<br>shap=-0.826",
+          "None=Bostandyeff, Mr. Guentcho<br>Survival=0<br>shap=-0.918",
+          "None=Lundahl, Mr. Johan Svensson<br>Survival=0<br>shap=-1.127",
+          "None=Stahelin-Maeglin, Dr. Max<br>Survival=1<br>shap=5.662",
+          "None=Willey, Mr. Edward<br>Survival=0<br>shap=-0.948",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>Survival=1<br>shap=1.546",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>Survival=0<br>shap=-0.855",
+          "None=Eitemiller, Mr. George Floyd<br>Survival=0<br>shap=-0.599",
+          "None=Colley, Mr. Edward Pomeroy<br>Survival=0<br>shap=-2.061",
+          "None=Coleff, Mr. Peju<br>Survival=0<br>shap=-1.113",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Survival=1<br>shap=0.392",
+          "None=Davidson, Mr. Thornton<br>Survival=0<br>shap=-5.889",
+          "None=Turja, Miss. Anna Sofia<br>Survival=1<br>shap=1.546",
+          "None=Hassab, Mr. Hammad<br>Survival=1<br>shap=1.760",
+          "None=Goodwin, Mr. Charles Edward<br>Survival=0<br>shap=-0.241",
+          "None=Panula, Mr. Jaako Arnold<br>Survival=0<br>shap=-0.189",
+          "None=Fischer, Mr. Eberhard Thelander<br>Survival=0<br>shap=-0.918",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Survival=0<br>shap=-1.002",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Survival=1<br>shap=0.894",
+          "None=Hansen, Mr. Henrik Juul<br>Survival=0<br>shap=-0.738",
+          "None=Calderhead, Mr. Edward Pennington<br>Survival=1<br>shap=1.650",
+          "None=Klaber, Mr. Herman<br>Survival=0<br>shap=-0.275",
+          "None=Taylor, Mr. Elmer Zebley<br>Survival=1<br>shap=1.119",
+          "None=Larsson, Mr. August Viktor<br>Survival=0<br>shap=-0.928",
+          "None=Greenberg, Mr. Samuel<br>Survival=0<br>shap=-0.780",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>Survival=1<br>shap=0.618",
+          "None=McEvoy, Mr. Michael<br>Survival=0<br>shap=-0.945",
+          "None=Johnson, Mr. Malkolm Joackim<br>Survival=0<br>shap=-1.079",
+          "None=Gillespie, Mr. William Henry<br>Survival=0<br>shap=-0.766",
+          "None=Allen, Miss. Elisabeth Walton<br>Survival=1<br>shap=2.269",
+          "None=Berriman, Mr. William John<br>Survival=0<br>shap=-0.599",
+          "None=Troupiansky, Mr. Moses Aaron<br>Survival=0<br>shap=-0.599",
+          "None=Williams, Mr. Leslie<br>Survival=0<br>shap=-0.928",
+          "None=Ivanoff, Mr. Kanio<br>Survival=0<br>shap=-0.948",
+          "None=McNamee, Mr. Neal<br>Survival=0<br>shap=-0.738",
+          "None=Connaghton, Mr. Michael<br>Survival=0<br>shap=-0.931",
+          "None=Carlsson, Mr. August Sigfrid<br>Survival=0<br>shap=-0.928",
+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Survival=1<br>shap=2.454",
+          "None=Eklund, Mr. Hans Linus<br>Survival=0<br>shap=-0.918",
+          "None=Hogeboom, Mrs. John C (Anna Andrews)<br>Survival=1<br>shap=1.355",
+          "None=Moran, Mr. Daniel J<br>Survival=0<br>shap=-0.745",
+          "None=Lievens, Mr. Rene Aime<br>Survival=0<br>shap=-0.918",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Survival=1<br>shap=1.176",
+          "None=Ayoub, Miss. Banoura<br>Survival=1<br>shap=1.423",
+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Survival=1<br>shap=2.069",
+          "None=Johnston, Mr. Andrew G<br>Survival=0<br>shap=-0.260",
+          "None=Ali, Mr. William<br>Survival=0<br>shap=-0.918",
+          "None=Sjoblom, Miss. Anna Sofia<br>Survival=1<br>shap=1.546",
+          "None=Guggenheim, Mr. Benjamin<br>Survival=0<br>shap=-11.527",
+          "None=Leader, Dr. Alice (Farnham)<br>Survival=1<br>shap=1.490",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Survival=1<br>shap=0.316",
+          "None=Carter, Master. William Thornton II<br>Survival=1<br>shap=1.097",
+          "None=Thomas, Master. Assad Alexander<br>Survival=1<br>shap=0.674",
+          "None=Johansson, Mr. Karl Johan<br>Survival=0<br>shap=-0.935",
+          "None=Slemen, Mr. Richard James<br>Survival=0<br>shap=-0.766",
+          "None=Tomlin, Mr. Ernest Portage<br>Survival=0<br>shap=-0.928",
+          "None=McCormack, Mr. Thomas Joseph<br>Survival=1<br>shap=1.557",
+          "None=Richards, Master. George Sibley<br>Survival=1<br>shap=0.309",
+          "None=Mudd, Mr. Thomas Charles<br>Survival=0<br>shap=-0.599",
+          "None=Lemberopolous, Mr. Peter L<br>Survival=0<br>shap=-1.351",
+          "None=Sage, Mr. Douglas Bullen<br>Survival=0<br>shap=-0.292",
+          "None=Boulos, Miss. Nourelain<br>Survival=0<br>shap=-0.439",
+          "None=Aks, Mrs. Sam (Leah Rosen)<br>Survival=1<br>shap=0.653",
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+           52,
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+           33,
+           34,
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+           25,
+           18,
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+           49,
+           31,
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+           0.42,
+           31,
+           35,
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+           0.83,
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+           4,
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+           20,
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+          "colorbar": {
+           "showticklabels": false,
+           "title": {
+            "text": "feature value <br> (red is high)"
+           }
+          },
+          "colorscale": [
+           [
+            0,
+            "rgb(0,0,255)"
+           ],
+           [
+            1,
+            "rgb(255,0,0)"
+           ]
+          ],
+          "opacity": 0.3,
+          "showscale": true,
+          "size": 5
+         },
+         "mode": "markers",
+         "name": "Age",
+         "opacity": 0.8,
+         "showlegend": false,
+         "text": [
+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=38.0<br>shap=7.294",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=35.0<br>shap=5.299",
+          "None=Palsson, Master. Gosta Leonard<br>Age=2.0<br>shap=0.491",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=27.0<br>shap=-0.329",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>shap=-0.299",
+          "None=Saundercock, Mr. William Henry<br>Age=20.0<br>shap=-0.011",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=14.0<br>shap=0.184",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=38.0<br>shap=0.435",
+          "None=Glynn, Miss. Mary Agatha<br>Age=nan<br>shap=-0.108",
+          "None=Meyer, Mr. Edgar Joseph<br>Age=28.0<br>shap=-2.582",
+          "None=Kraeff, Mr. Theodor<br>Age=nan<br>shap=0.121",
+          "None=Devaney, Miss. Margaret Delia<br>Age=19.0<br>shap=-0.555",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=18.0<br>shap=-0.280",
+          "None=Rugg, Miss. Emily<br>Age=21.0<br>shap=-0.366",
+          "None=Harris, Mr. Henry Birkhardt<br>Age=45.0<br>shap=-1.571",
+          "None=Skoog, Master. Harald<br>Age=4.0<br>shap=0.357",
+          "None=Kink, Mr. Vincenz<br>Age=26.0<br>shap=-0.062",
+          "None=Hood, Mr. Ambrose Jr<br>Age=21.0<br>shap=0.018",
+          "None=Ilett, Miss. Bertha<br>Age=17.0<br>shap=0.464",
+          "None=Ford, Mr. William Neal<br>Age=16.0<br>shap=0.135",
+          "None=Christmann, Mr. Emil<br>Age=29.0<br>shap=-0.252",
+          "None=Andreasson, Mr. Paul Edvin<br>Age=20.0<br>shap=-0.011",
+          "None=Chaffee, Mr. Herbert Fuller<br>Age=46.0<br>shap=-0.616",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=nan<br>shap=0.343",
+          "None=White, Mr. Richard Frasar<br>Age=21.0<br>shap=2.686",
+          "None=Rekic, Mr. Tido<br>Age=38.0<br>shap=0.540",
+          "None=Moran, Miss. Bertha<br>Age=nan<br>shap=-0.107",
+          "None=Barton, Mr. David John<br>Age=22.0<br>shap=-0.023",
+          "None=Jussila, Miss. Katriina<br>Age=20.0<br>shap=-0.337",
+          "None=Pekoniemi, Mr. Edvard<br>Age=21.0<br>shap=-0.026",
+          "None=Turpin, Mr. William John Robert<br>Age=29.0<br>shap=-0.271",
+          "None=Moore, Mr. Leonard Charles<br>Age=nan<br>shap=0.343",
+          "None=Osen, Mr. Olaf Elon<br>Age=16.0<br>shap=0.131",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=9.0<br>shap=0.286",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=36.5<br>shap=1.011",
+          "None=Bateman, Rev. Robert James<br>Age=51.0<br>shap=0.320",
+          "None=Meo, Mr. Alfonzo<br>Age=55.5<br>shap=0.012",
+          "None=Cribb, Mr. John Hatfield<br>Age=44.0<br>shap=0.058",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=nan<br>shap=3.755",
+          "None=Van der hoef, Mr. Wyckoff<br>Age=61.0<br>shap=-2.261",
+          "None=Sivola, Mr. Antti Wilhelm<br>Age=21.0<br>shap=-0.026",
+          "None=Klasen, Mr. Klas Albin<br>Age=18.0<br>shap=0.107",
+          "None=Rood, Mr. Hugh Roscoe<br>Age=nan<br>shap=1.759",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=19.0<br>shap=-0.452",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>shap=5.828",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>shap=0.069",
+          "None=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>shap=-0.179",
+          "None=Blank, Mr. Henry<br>Age=40.0<br>shap=3.683",
+          "None=Ali, Mr. Ahmed<br>Age=24.0<br>shap=-0.024",
+          "None=Green, Mr. George Henry<br>Age=51.0<br>shap=0.236",
+          "None=Nenkoff, Mr. Christo<br>Age=nan<br>shap=0.343",
+          "None=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>shap=0.194",
+          "None=Harknett, Miss. Alice Phoebe<br>Age=nan<br>shap=0.170",
+          "None=Hunt, Mr. George Henry<br>Age=33.0<br>shap=0.481",
+          "None=Reed, Mr. James George<br>Age=nan<br>shap=0.343",
+          "None=Stead, Mr. William Thomas<br>Age=62.0<br>shap=-2.660",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Age=nan<br>shap=-4.277",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>shap=3.662",
+          "None=Smith, Mr. Thomas<br>Age=nan<br>shap=0.215",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>shap=0.229",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Age=nan<br>shap=-0.108",
+          "None=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>shap=-1.548",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>shap=1.210",
+          "None=Smith, Mr. Richard William<br>Age=nan<br>shap=1.759",
+          "None=Connolly, Miss. Kate<br>Age=22.0<br>shap=-0.568",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>shap=-4.351",
+          "None=Levy, Mr. Rene Jacques<br>Age=36.0<br>shap=2.132",
+          "None=Lewy, Mr. Ervin G<br>Age=nan<br>shap=0.136",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Age=nan<br>shap=0.343",
+          "None=Sage, Mr. George John Jr<br>Age=nan<br>shap=1.872",
+          "None=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>shap=0.026",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=nan<br>shap=-0.920",
+          "None=Denkoff, Mr. Mitto<br>Age=nan<br>shap=0.343",
+          "None=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>shap=4.131",
+          "None=Dimic, Mr. Jovan<br>Age=42.0<br>shap=0.076",
+          "None=del Carlo, Mr. Sebastiano<br>Age=29.0<br>shap=-0.477",
+          "None=Beavan, Mr. William Thomas<br>Age=19.0<br>shap=-0.011",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=nan<br>shap=-4.179",
+          "None=Widener, Mr. Harry Elkins<br>Age=27.0<br>shap=2.836",
+          "None=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>shap=-0.011",
+          "None=Plotcharsky, Mr. Vasil<br>Age=nan<br>shap=0.343",
+          "None=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>shap=-1.452",
+          "None=Sadlier, Mr. Matthew<br>Age=nan<br>shap=0.215",
+          "None=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>shap=0.147",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>shap=-0.267",
+          "None=Niskanen, Mr. Juha<br>Age=39.0<br>shap=0.830",
+          "None=Minahan, Miss. Daisy E<br>Age=33.0<br>shap=3.678",
+          "None=Matthews, Mr. William John<br>Age=30.0<br>shap=-0.116",
+          "None=Charters, Mr. David<br>Age=21.0<br>shap=-0.107",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=19.0<br>shap=-0.358",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>shap=0.331",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>shap=0.254",
+          "None=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>shap=-2.205",
+          "None=Anderson, Mr. Harry<br>Age=48.0<br>shap=-0.813",
+          "None=Milling, Mr. Jacob Christian<br>Age=48.0<br>shap=0.396",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>shap=0.430",
+          "None=Karlsson, Mr. Nils August<br>Age=22.0<br>shap=-0.023",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Age=nan<br>shap=-0.193",
+          "None=Bishop, Mr. Dickinson H<br>Age=25.0<br>shap=-2.557",
+          "None=Windelov, Mr. Einar<br>Age=21.0<br>shap=-0.026",
+          "None=Shellard, Mr. Frederick William<br>Age=nan<br>shap=0.343",
+          "None=Svensson, Mr. Olof<br>Age=24.0<br>shap=-0.024",
+          "None=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>shap=-0.003",
+          "None=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>shap=1.184",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>shap=0.933",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=nan<br>shap=1.073",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=36.0<br>shap=1.419",
+          "None=Kassem, Mr. Fared<br>Age=nan<br>shap=0.121",
+          "None=Cacic, Miss. Marija<br>Age=30.0<br>shap=-0.285",
+          "None=Hart, Miss. Eva Miriam<br>Age=7.0<br>shap=0.476",
+          "None=Butt, Major. Archibald Willingham<br>Age=45.0<br>shap=-0.120",
+          "None=Beane, Mr. Edward<br>Age=32.0<br>shap=0.055",
+          "None=Goldsmith, Mr. Frank John<br>Age=33.0<br>shap=0.282",
+          "None=Ohman, Miss. Velin<br>Age=22.0<br>shap=-0.414",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>shap=0.603",
+          "None=Morrow, Mr. Thomas Rowan<br>Age=nan<br>shap=0.215",
+          "None=Harris, Mr. George<br>Age=62.0<br>shap=0.498",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>shap=-7.076",
+          "None=Patchett, Mr. George<br>Age=19.0<br>shap=-0.011",
+          "None=Ross, Mr. John Hugo<br>Age=36.0<br>shap=13.178",
+          "None=Murdlin, Mr. Joseph<br>Age=nan<br>shap=0.343",
+          "None=Bourke, Miss. Mary<br>Age=nan<br>shap=0.079",
+          "None=Boulos, Mr. Hanna<br>Age=nan<br>shap=0.121",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Age=49.0<br>shap=-0.670",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=35.0<br>shap=22.702",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>shap=0.910",
+          "None=Daniel, Mr. Robert Williams<br>Age=27.0<br>shap=-0.792",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>shap=-0.617",
+          "None=Shutes, Miss. Elizabeth W<br>Age=40.0<br>shap=0.712",
+          "None=Jardin, Mr. Jose Neto<br>Age=nan<br>shap=0.343",
+          "None=Horgan, Mr. John<br>Age=nan<br>shap=0.215",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>shap=-0.443",
+          "None=Yasbeck, Mr. Antoni<br>Age=27.0<br>shap=-0.505",
+          "None=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>shap=-0.188",
+          "None=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>shap=0.236",
+          "None=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>shap=3.866",
+          "None=Willey, Mr. Edward<br>Age=nan<br>shap=0.343",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>shap=-0.408",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>Age=18.0<br>shap=-0.259",
+          "None=Eitemiller, Mr. George Floyd<br>Age=23.0<br>shap=0.041",
+          "None=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>shap=-1.201",
+          "None=Coleff, Mr. Peju<br>Age=36.0<br>shap=1.077",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>shap=0.164",
+          "None=Davidson, Mr. Thornton<br>Age=31.0<br>shap=0.473",
+          "None=Turja, Miss. Anna Sofia<br>Age=18.0<br>shap=-0.308",
+          "None=Hassab, Mr. Hammad<br>Age=27.0<br>shap=-3.491",
+          "None=Goodwin, Mr. Charles Edward<br>Age=14.0<br>shap=-1.434",
+          "None=Panula, Mr. Jaako Arnold<br>Age=14.0<br>shap=0.340",
+          "None=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>shap=0.088",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>shap=-0.052",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>shap=-2.559",
+          "None=Hansen, Mr. Henrik Juul<br>Age=26.0<br>shap=-0.314",
+          "None=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>shap=-0.149",
+          "None=Klaber, Mr. Herman<br>Age=nan<br>shap=3.608",
+          "None=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>shap=-1.314",
+          "None=Larsson, Mr. August Viktor<br>Age=29.0<br>shap=-0.252",
+          "None=Greenberg, Mr. Samuel<br>Age=52.0<br>shap=0.200",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>Age=27.0<br>shap=-0.273",
+          "None=McEvoy, Mr. Michael<br>Age=nan<br>shap=0.215",
+          "None=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>shap=0.492",
+          "None=Gillespie, Mr. William Henry<br>Age=34.0<br>shap=1.392",
+          "None=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>shap=-1.294",
+          "None=Berriman, Mr. William John<br>Age=23.0<br>shap=0.041",
+          "None=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>shap=0.041",
+          "None=Williams, Mr. Leslie<br>Age=28.5<br>shap=0.069",
+          "None=Ivanoff, Mr. Kanio<br>Age=nan<br>shap=0.343",
+          "None=McNamee, Mr. Neal<br>Age=24.0<br>shap=-0.114",
+          "None=Connaghton, Mr. Michael<br>Age=31.0<br>shap=-0.223",
+          "None=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>shap=0.069",
+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>shap=1.497",
+          "None=Eklund, Mr. Hans Linus<br>Age=16.0<br>shap=0.131",
+          "None=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>shap=-1.553",
+          "None=Moran, Mr. Daniel J<br>Age=nan<br>shap=0.241",
+          "None=Lievens, Mr. Rene Aime<br>Age=24.0<br>shap=-0.024",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>shap=-1.454",
+          "None=Ayoub, Miss. Banoura<br>Age=13.0<br>shap=-0.333",
+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>shap=-1.061",
+          "None=Johnston, Mr. Andrew G<br>Age=nan<br>shap=0.307",
+          "None=Ali, Mr. William<br>Age=25.0<br>shap=-0.145",
+          "None=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>shap=-0.308",
+          "None=Guggenheim, Mr. Benjamin<br>Age=46.0<br>shap=4.066",
+          "None=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>shap=-1.754",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>shap=-0.216",
+          "None=Carter, Master. William Thornton II<br>Age=11.0<br>shap=7.176",
+          "None=Thomas, Master. Assad Alexander<br>Age=0.42<br>shap=0.047",
+          "None=Johansson, Mr. Karl Johan<br>Age=31.0<br>shap=-0.157",
+          "None=Slemen, Mr. Richard James<br>Age=35.0<br>shap=1.354",
+          "None=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>shap=-0.146",
+          "None=McCormack, Mr. Thomas Joseph<br>Age=nan<br>shap=0.084",
+          "None=Richards, Master. George Sibley<br>Age=0.83<br>shap=0.241",
+          "None=Mudd, Mr. Thomas Charles<br>Age=16.0<br>shap=0.887",
+          "None=Lemberopolous, Mr. Peter L<br>Age=34.5<br>shap=2.974",
+          "None=Sage, Mr. Douglas Bullen<br>Age=nan<br>shap=1.872",
+          "None=Boulos, Miss. Nourelain<br>Age=9.0<br>shap=-0.080",
+          "None=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>shap=-0.250",
+          "None=Razi, Mr. Raihed<br>Age=nan<br>shap=0.121",
+          "None=Johnson, Master. Harold Theodor<br>Age=4.0<br>shap=0.310",
+          "None=Carlsson, Mr. Frans Olof<br>Age=33.0<br>shap=1.967",
+          "None=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>shap=-0.011",
+          "None=Montvila, Rev. Juozas<br>Age=27.0<br>shap=-0.177"
+         ],
+         "type": "scattergl",
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Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.086\", \"index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.484\", \"index=Johannesen-Bratthammer, Mr. Bernt<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.136\", \"index=Peuchen, Major. Arthur Godfrey<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.39\", \"index=Anderson, Mr. Harry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.412\", \"index=Milling, Mr. Jacob Christian<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.121\", \"index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.495\", \"index=Karlsson, Mr. Nils August<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13\", \"index=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.141\", \"index=Bishop, Mr. Dickinson H<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.391\", \"index=Windelov, Mr. Einar<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13\", \"index=Shellard, Mr. Frederick William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139\", \"index=Svensson, Mr. Olof<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13\", \"index=O'Sullivan, Miss. Bridget Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.105\", \"index=Laitinen, Miss. Kristina Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.002\", \"index=Penasco y Castellana, Mr. Victor de Satode<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.334\", \"index=Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.343\", \"index=Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.119\", \"index=Kassem, Mr. Fared<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.127\", \"index=Cacic, Miss. Marija<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.093\", \"index=Hart, Miss. Eva Miriam<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.479\", \"index=Butt, Major. 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Velin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.09\", \"index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.462\", \"index=Morrow, Mr. Thomas Rowan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.133\", \"index=Harris, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.12\", \"index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_siblings_plus_spouses_on_board=2<br>shap=1.346\", \"index=Patchett, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13\", \"index=Ross, Mr. John Hugo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.221\", \"index=Murdlin, Mr. Joseph<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139\", \"index=Bourke, Miss. Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.462\", \"index=Boulos, Mr. Hanna<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.127\", \"index=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.634\", \"index=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.095\", \"index=Lindell, Mr. Edvard Bengtsson<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.098\", \"index=Daniel, Mr. Robert Williams<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.38\", \"index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.445\", \"index=Shutes, Miss. Elizabeth W<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.312\", \"index=Jardin, Mr. Jose Neto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139\", \"index=Horgan, Mr. John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.133\", \"index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.02\", \"index=Yasbeck, Mr. Antoni<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.069\", \"index=Bostandyeff, Mr. Guentcho<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.127\", \"index=Lundahl, Mr. Johan Svensson<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.112\", \"index=Stahelin-Maeglin, Dr. Max<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.263\", \"index=Willey, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139\", \"index=Stanley, Miss. Amy Zillah Elsie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.09\", \"index=Hegarty, Miss. 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Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.09\", \"index=Hassab, Mr. Hammad<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.281\", \"index=Goodwin, Mr. Charles Edward<br>No_of_siblings_plus_spouses_on_board=5<br>shap=0.446\", \"index=Panula, Mr. Jaako Arnold<br>No_of_siblings_plus_spouses_on_board=4<br>shap=0.344\", \"index=Fischer, Mr. Eberhard Thelander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.13\", \"index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.128\", \"index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.012\", \"index=Hansen, Mr. Henrik Juul<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.114\", \"index=Calderhead, Mr. Edward Pennington<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.358\", \"index=Klaber, Mr. Herman<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.36\", \"index=Taylor, Mr. Elmer Zebley<br>No_of_siblings_plus_spouses_on_board=1<br>shap=1.081\", \"index=Larsson, Mr. August Viktor<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.132\", \"index=Greenberg, Mr. Samuel<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.121\", \"index=Troutt, Miss. 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Katriina<br>Survival=0<br>shap=-0.687\", \"None=Pekoniemi, Mr. Edvard<br>Survival=0<br>shap=-0.918\", \"None=Turpin, Mr. William John Robert<br>Survival=0<br>shap=-0.530\", \"None=Moore, Mr. Leonard Charles<br>Survival=0<br>shap=-0.948\", \"None=Osen, Mr. Olaf Elon<br>Survival=0<br>shap=-0.918\", \"None=Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Survival=0<br>shap=-0.092\", \"None=Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Survival=0<br>shap=-0.290\", \"None=Bateman, Rev. Robert James<br>Survival=0<br>shap=-0.780\", \"None=Meo, Mr. Alfonzo<br>Survival=0<br>shap=-1.127\", \"None=Cribb, Mr. John Hatfield<br>Survival=0<br>shap=-0.529\", \"None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Survival=1<br>shap=0.561\", \"None=Van der hoef, Mr. Wyckoff<br>Survival=0<br>shap=-8.147\", \"None=Sivola, Mr. Antti Wilhelm<br>Survival=0<br>shap=-0.918\", \"None=Klasen, Mr. Klas Albin<br>Survival=0<br>shap=-0.297\", \"None=Rood, Mr. Hugh Roscoe<br>Survival=0<br>shap=-1.654\", \"None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Survival=1<br>shap=1.121\", \"None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Survival=1<br>shap=4.472\", \"None=Vande Walle, Mr. Nestor Cyriel<br>Survival=0<br>shap=-0.928\", \"None=Backstrom, Mr. Karl Alfred<br>Survival=0<br>shap=-0.856\", \"None=Blank, Mr. Henry<br>Survival=1<br>shap=2.813\", \"None=Ali, Mr. Ahmed<br>Survival=0<br>shap=-0.918\", \"None=Green, Mr. George Henry<br>Survival=0<br>shap=-1.127\", \"None=Nenkoff, Mr. Christo<br>Survival=0<br>shap=-0.948\", \"None=Asplund, Miss. Lillian Gertrud<br>Survival=1<br>shap=0.125\", \"None=Harknett, Miss. Alice Phoebe<br>Survival=0<br>shap=-0.861\", \"None=Hunt, Mr. George Henry<br>Survival=0<br>shap=-0.732\", \"None=Reed, Mr. James George<br>Survival=0<br>shap=-0.948\", \"None=Stead, Mr. William Thomas<br>Survival=0<br>shap=-1.433\", \"None=Thorne, Mrs. Gertrude Maybelle<br>Survival=1<br>shap=2.425\", \"None=Parrish, Mrs. (Lutie Davis)<br>Survival=1<br>shap=0.873\", \"None=Smith, Mr. Thomas<br>Survival=0<br>shap=-0.945\", \"None=Asplund, Master. Edvin Rojj Felix<br>Survival=1<br>shap=0.135\", \"None=Healy, Miss. Hanora \\\"Nora\\\"<br>Survival=1<br>shap=1.446\", \"None=Andrews, Miss. Kornelia Theodosia<br>Survival=1<br>shap=1.330\", \"None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Survival=1<br>shap=0.561\", \"None=Smith, Mr. Richard William<br>Survival=0<br>shap=-1.654\", \"None=Connolly, Miss. Kate<br>Survival=1<br>shap=1.386\", \"None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Survival=1<br>shap=2.837\", \"None=Levy, Mr. Rene Jacques<br>Survival=0<br>shap=-0.902\", \"None=Lewy, Mr. Ervin G<br>Survival=0<br>shap=-3.690\", \"None=Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Survival=0<br>shap=-0.948\", \"None=Sage, Mr. George John Jr<br>Survival=0<br>shap=-0.292\", \"None=Nysveen, Mr. Johan Hansen<br>Survival=0<br>shap=-1.120\", \"None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Survival=1<br>shap=1.661\", \"None=Denkoff, Mr. Mitto<br>Survival=0<br>shap=-0.948\", \"None=Burns, Miss. Elizabeth Margaret<br>Survival=1<br>shap=2.642\", \"None=Dimic, Mr. Jovan<br>Survival=0<br>shap=-1.097\", \"None=del Carlo, Mr. Sebastiano<br>Survival=0<br>shap=-0.643\", \"None=Beavan, Mr. William Thomas<br>Survival=0<br>shap=-0.918\", \"None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Survival=1<br>shap=2.243\", \"None=Widener, Mr. Harry Elkins<br>Survival=0<br>shap=0.695\", \"None=Gustafsson, Mr. Karl Gideon<br>Survival=0<br>shap=-0.918\", \"None=Plotcharsky, Mr. Vasil<br>Survival=0<br>shap=-0.948\", \"None=Goodwin, Master. Sidney Leonard<br>Survival=0<br>shap=-0.241\", \"None=Sadlier, Mr. Matthew<br>Survival=0<br>shap=-0.945\", \"None=Gustafsson, Mr. Johan Birger<br>Survival=0<br>shap=-0.447\", \"None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Survival=1<br>shap=0.428\", \"None=Niskanen, Mr. Juha<br>Survival=1<br>shap=1.991\", \"None=Minahan, Miss. Daisy E<br>Survival=1<br>shap=1.063\", \"None=Matthews, Mr. William John<br>Survival=0<br>shap=-0.610\", \"None=Charters, Mr. David<br>Survival=0<br>shap=-0.914\", \"None=Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Survival=1<br>shap=0.679\", \"None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Survival=1<br>shap=0.392\", \"None=Johannesen-Bratthammer, Mr. Bernt<br>Survival=1<br>shap=1.721\", \"None=Peuchen, Major. Arthur Godfrey<br>Survival=1<br>shap=1.294\", \"None=Anderson, Mr. Harry<br>Survival=1<br>shap=1.673\", \"None=Milling, Mr. Jacob Christian<br>Survival=0<br>shap=-0.780\", \"None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Survival=1<br>shap=0.337\", \"None=Karlsson, Mr. Nils August<br>Survival=0<br>shap=-0.918\", \"None=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Survival=0<br>shap=-0.630\", \"None=Bishop, Mr. Dickinson H<br>Survival=1<br>shap=4.746\", \"None=Windelov, Mr. Einar<br>Survival=0<br>shap=-0.918\", \"None=Shellard, Mr. Frederick William<br>Survival=0<br>shap=-0.948\", \"None=Svensson, Mr. Olof<br>Survival=0<br>shap=-0.918\", \"None=O'Sullivan, Miss. Bridget Mary<br>Survival=0<br>shap=-0.885\", \"None=Laitinen, Miss. Kristina Sofia<br>Survival=0<br>shap=-0.994\", \"None=Penasco y Castellana, Mr. Victor de Satode<br>Survival=0<br>shap=-1.284\", \"None=Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Survival=1<br>shap=1.937\", \"None=Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Survival=1<br>shap=0.729\", \"None=Kassem, Mr. Fared<br>Survival=0<br>shap=-1.028\", \"None=Cacic, Miss. Marija<br>Survival=0<br>shap=-0.842\", \"None=Hart, Miss. Eva Miriam<br>Survival=1<br>shap=0.326\", \"None=Butt, Major. Archibald Willingham<br>Survival=0<br>shap=-8.158\", \"None=Beane, Mr. Edward<br>Survival=1<br>shap=0.794\", \"None=Goldsmith, Mr. Frank John<br>Survival=0<br>shap=-0.430\", \"None=Ohman, Miss. Velin<br>Survival=1<br>shap=1.546\", \"None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Survival=1<br>shap=0.696\", \"None=Morrow, Mr. Thomas Rowan<br>Survival=0<br>shap=-0.945\", \"None=Harris, Mr. George<br>Survival=1<br>shap=1.080\", \"None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Survival=1<br>shap=0.814\", \"None=Patchett, Mr. George<br>Survival=0<br>shap=-0.918\", \"None=Ross, Mr. John Hugo<br>Survival=0<br>shap=-5.165\", \"None=Murdlin, Mr. Joseph<br>Survival=0<br>shap=-0.948\", \"None=Bourke, Miss. Mary<br>Survival=0<br>shap=-0.343\", \"None=Boulos, Mr. Hanna<br>Survival=0<br>shap=-1.028\", \"None=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Survival=1<br>shap=2.555\", \"None=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Survival=1<br>shap=4.398\", \"None=Lindell, Mr. Edvard Bengtsson<br>Survival=0<br>shap=-0.916\", \"None=Daniel, Mr. Robert Williams<br>Survival=1<br>shap=1.909\", \"None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Survival=1<br>shap=0.284\", \"None=Shutes, Miss. Elizabeth W<br>Survival=1<br>shap=1.104\", \"None=Jardin, Mr. Jose Neto<br>Survival=0<br>shap=-0.948\", \"None=Horgan, Mr. John<br>Survival=0<br>shap=-0.945\", \"None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Survival=0<br>shap=-0.687\", \"None=Yasbeck, Mr. Antoni<br>Survival=0<br>shap=-0.826\", \"None=Bostandyeff, Mr. Guentcho<br>Survival=0<br>shap=-0.918\", \"None=Lundahl, Mr. Johan Svensson<br>Survival=0<br>shap=-1.127\", \"None=Stahelin-Maeglin, Dr. Max<br>Survival=1<br>shap=5.662\", \"None=Willey, Mr. Edward<br>Survival=0<br>shap=-0.948\", \"None=Stanley, Miss. Amy Zillah Elsie<br>Survival=1<br>shap=1.546\", \"None=Hegarty, Miss. Hanora \\\"Nora\\\"<br>Survival=0<br>shap=-0.855\", \"None=Eitemiller, Mr. George Floyd<br>Survival=0<br>shap=-0.599\", \"None=Colley, Mr. Edward Pomeroy<br>Survival=0<br>shap=-2.061\", \"None=Coleff, Mr. Peju<br>Survival=0<br>shap=-1.113\", \"None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Survival=1<br>shap=0.392\", \"None=Davidson, Mr. Thornton<br>Survival=0<br>shap=-5.889\", \"None=Turja, Miss. Anna Sofia<br>Survival=1<br>shap=1.546\", \"None=Hassab, Mr. Hammad<br>Survival=1<br>shap=1.760\", \"None=Goodwin, Mr. Charles Edward<br>Survival=0<br>shap=-0.241\", \"None=Panula, Mr. Jaako Arnold<br>Survival=0<br>shap=-0.189\", \"None=Fischer, Mr. Eberhard Thelander<br>Survival=0<br>shap=-0.918\", \"None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Survival=0<br>shap=-1.002\", \"None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Survival=1<br>shap=0.894\", \"None=Hansen, Mr. Henrik Juul<br>Survival=0<br>shap=-0.738\", \"None=Calderhead, Mr. Edward Pennington<br>Survival=1<br>shap=1.650\", \"None=Klaber, Mr. Herman<br>Survival=0<br>shap=-0.275\", \"None=Taylor, Mr. Elmer Zebley<br>Survival=1<br>shap=1.119\", \"None=Larsson, Mr. August Viktor<br>Survival=0<br>shap=-0.928\", \"None=Greenberg, Mr. Samuel<br>Survival=0<br>shap=-0.780\", \"None=Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Survival=1<br>shap=0.618\", \"None=McEvoy, Mr. Michael<br>Survival=0<br>shap=-0.945\", \"None=Johnson, Mr. Malkolm Joackim<br>Survival=0<br>shap=-1.079\", \"None=Gillespie, Mr. William Henry<br>Survival=0<br>shap=-0.766\", \"None=Allen, Miss. Elisabeth Walton<br>Survival=1<br>shap=2.269\", \"None=Berriman, Mr. William John<br>Survival=0<br>shap=-0.599\", \"None=Troupiansky, Mr. Moses Aaron<br>Survival=0<br>shap=-0.599\", \"None=Williams, Mr. Leslie<br>Survival=0<br>shap=-0.928\", \"None=Ivanoff, Mr. Kanio<br>Survival=0<br>shap=-0.948\", \"None=McNamee, Mr. Neal<br>Survival=0<br>shap=-0.738\", \"None=Connaghton, Mr. Michael<br>Survival=0<br>shap=-0.931\", \"None=Carlsson, Mr. August Sigfrid<br>Survival=0<br>shap=-0.928\", \"None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Survival=1<br>shap=2.454\", \"None=Eklund, Mr. Hans Linus<br>Survival=0<br>shap=-0.918\", \"None=Hogeboom, Mrs. John C (Anna Andrews)<br>Survival=1<br>shap=1.355\", \"None=Moran, Mr. Daniel J<br>Survival=0<br>shap=-0.745\", \"None=Lievens, Mr. Rene Aime<br>Survival=0<br>shap=-0.918\", \"None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Survival=1<br>shap=1.176\", \"None=Ayoub, Miss. Banoura<br>Survival=1<br>shap=1.423\", \"None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Survival=1<br>shap=2.069\", \"None=Johnston, Mr. Andrew G<br>Survival=0<br>shap=-0.260\", \"None=Ali, Mr. William<br>Survival=0<br>shap=-0.918\", \"None=Sjoblom, Miss. Anna Sofia<br>Survival=1<br>shap=1.546\", \"None=Guggenheim, Mr. Benjamin<br>Survival=0<br>shap=-11.527\", \"None=Leader, Dr. Alice (Farnham)<br>Survival=1<br>shap=1.490\", \"None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Survival=1<br>shap=0.316\", \"None=Carter, Master. William Thornton II<br>Survival=1<br>shap=1.097\", \"None=Thomas, Master. Assad Alexander<br>Survival=1<br>shap=0.674\", \"None=Johansson, Mr. Karl Johan<br>Survival=0<br>shap=-0.935\", \"None=Slemen, Mr. Richard James<br>Survival=0<br>shap=-0.766\", \"None=Tomlin, Mr. Ernest Portage<br>Survival=0<br>shap=-0.928\", \"None=McCormack, Mr. Thomas Joseph<br>Survival=1<br>shap=1.557\", \"None=Richards, Master. George Sibley<br>Survival=1<br>shap=0.309\", \"None=Mudd, Mr. Thomas Charles<br>Survival=0<br>shap=-0.599\", \"None=Lemberopolous, Mr. Peter L<br>Survival=0<br>shap=-1.351\", \"None=Sage, Mr. Douglas Bullen<br>Survival=0<br>shap=-0.292\", \"None=Boulos, Miss. Nourelain<br>Survival=0<br>shap=-0.439\", \"None=Aks, Mrs. Sam (Leah Rosen)<br>Survival=1<br>shap=0.653\", \"None=Razi, Mr. Raihed<br>Survival=0<br>shap=-1.028\", \"None=Johnson, Master. Harold Theodor<br>Survival=1<br>shap=0.472\", \"None=Carlsson, Mr. Frans Olof<br>Survival=0<br>shap=-7.378\", \"None=Gustafsson, Mr. Alfred Ossian<br>Survival=0<br>shap=-0.918\", \"None=Montvila, Rev. 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        "                            \n",
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@@ -91674,7 +55072,7 @@
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    ],
    "source": [
-    "explainer.plot_shap_detailed(topx=None, cats=False)"
+    "explainer.plot_shap_detailed(topx=10)"
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   {
@@ -91695,11 +55093,11 @@
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-     "start_time": "2020-10-12T08:47:03.108599Z"
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+     "start_time": "2021-01-20T16:02:07.627264Z"
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    "outputs": [
@@ -91707,7 +55105,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Calculating shap interaction values...\n"
+      "Calculating shap interaction values...\n",
+      "Reminder: TreeShap computational complexity is O(TLD^2), where T is the number of trees, L is the maximum number of leaves in any tree and D the maximal depth of any tree. So reducing these will speed up the calculation.\n"
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@@ -91911,7 +55310,7 @@
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+    "explainer.plot_interactions_importance('Age', topx=5)"
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@@ -91923,11 +55322,11 @@
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@@ -91941,642 +55340,644 @@
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-         "name": "female",
+         "name": "Sex_male",
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-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Sex=female<br>shap=3.481",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Sex=female<br>shap=2.669",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Sex=female<br>shap=2.782",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Sex=female<br>shap=3.504",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Sex=female<br>shap=2.596",
-          "index=Glynn, Miss. Mary Agatha<br>Sex=female<br>shap=3.416",
-          "index=Devaney, Miss. Margaret Delia<br>Sex=female<br>shap=3.371",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Sex=female<br>shap=2.979",
-          "index=Rugg, Miss. Emily<br>Sex=female<br>shap=3.451",
-          "index=Ilett, Miss. Bertha<br>Sex=female<br>shap=3.451",
-          "index=Moran, Miss. Bertha<br>Sex=female<br>shap=2.928",
-          "index=Jussila, Miss. Katriina<br>Sex=female<br>shap=2.979",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Sex=female<br>shap=2.598",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Sex=female<br>shap=4.613",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Sex=female<br>shap=2.985",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Sex=female<br>shap=6.711",
-          "index=Asplund, Miss. Lillian Gertrud<br>Sex=female<br>shap=2.502",
-          "index=Harknett, Miss. Alice Phoebe<br>Sex=female<br>shap=3.5",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Sex=female<br>shap=2.788",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Sex=female<br>shap=3.161",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Sex=female<br>shap=3.416",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Sex=female<br>shap=3.877",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Sex=female<br>shap=2.948",
-          "index=Connolly, Miss. Kate<br>Sex=female<br>shap=3.371",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Sex=female<br>shap=6.683",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Sex=female<br>shap=3.224",
-          "index=Burns, Miss. Elizabeth Margaret<br>Sex=female<br>shap=2.05",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Sex=female<br>shap=3.382",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Sex=female<br>shap=2.425",
-          "index=Minahan, Miss. Daisy E<br>Sex=female<br>shap=3.549",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Sex=female<br>shap=3.451",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Sex=female<br>shap=3.018",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Sex=female<br>shap=2.876",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Sex=female<br>shap=3.366",
-          "index=Laitinen, Miss. Kristina Sofia<br>Sex=female<br>shap=3.92",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Sex=female<br>shap=3.26",
-          "index=Cacic, Miss. Marija<br>Sex=female<br>shap=3.512",
-          "index=Hart, Miss. Eva Miriam<br>Sex=female<br>shap=2.693",
-          "index=Ohman, Miss. Velin<br>Sex=female<br>shap=3.514",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Sex=female<br>shap=4.123",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Sex=female<br>shap=3.783",
-          "index=Bourke, Miss. Mary<br>Sex=female<br>shap=2.672",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Sex=female<br>shap=2.492",
-          "index=Shutes, Miss. Elizabeth W<br>Sex=female<br>shap=0.914",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Sex=female<br>shap=3.026",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Sex=female<br>shap=3.531",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Sex=female<br>shap=3.321",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Sex=female<br>shap=3.044",
-          "index=Turja, Miss. Anna Sofia<br>Sex=female<br>shap=3.514",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Sex=female<br>shap=3.226",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Sex=female<br>shap=3.29",
-          "index=Allen, Miss. Elisabeth Walton<br>Sex=female<br>shap=2.872",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Sex=female<br>shap=3.118",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Sex=female<br>shap=3.867",
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-          "index=Ayoub, Miss. Banoura<br>Sex=female<br>shap=3.245",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Sex=female<br>shap=4.67",
-          "index=Sjoblom, Miss. Anna Sofia<br>Sex=female<br>shap=3.514",
-          "index=Leader, Dr. Alice (Farnham)<br>Sex=female<br>shap=1.268",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Sex=female<br>shap=2.704",
-          "index=Boulos, Miss. Nourelain<br>Sex=female<br>shap=2.63",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Sex=female<br>shap=2.74"
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+          "None=Saundercock, Mr. William Henry<br>Sex=Sex_male<br>shap=-1.643",
+          "None=Meyer, Mr. Edgar Joseph<br>Sex=Sex_male<br>shap=-0.597",
+          "None=Kraeff, Mr. Theodor<br>Sex=Sex_male<br>shap=-1.657",
+          "None=Harris, Mr. Henry Birkhardt<br>Sex=Sex_male<br>shap=-1.675",
+          "None=Skoog, Master. Harald<br>Sex=Sex_male<br>shap=-0.945",
+          "None=Kink, Mr. Vincenz<br>Sex=Sex_male<br>shap=-1.396",
+          "None=Hood, Mr. Ambrose Jr<br>Sex=Sex_male<br>shap=-1.607",
+          "None=Ford, Mr. William Neal<br>Sex=Sex_male<br>shap=-0.892",
+          "None=Christmann, Mr. Emil<br>Sex=Sex_male<br>shap=-1.691",
+          "None=Andreasson, Mr. Paul Edvin<br>Sex=Sex_male<br>shap=-1.643",
+          "None=Chaffee, Mr. Herbert Fuller<br>Sex=Sex_male<br>shap=-1.652",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Sex=Sex_male<br>shap=-1.679",
+          "None=White, Mr. Richard Frasar<br>Sex=Sex_male<br>shap=-2.625",
+          "None=Rekic, Mr. Tido<br>Sex=Sex_male<br>shap=-1.850",
+          "None=Barton, Mr. David John<br>Sex=Sex_male<br>shap=-1.647",
+          "None=Pekoniemi, Mr. Edvard<br>Sex=Sex_male<br>shap=-1.647",
+          "None=Turpin, Mr. William John Robert<br>Sex=Sex_male<br>shap=-1.470",
+          "None=Moore, Mr. Leonard Charles<br>Sex=Sex_male<br>shap=-1.679",
+          "None=Osen, Mr. Olaf Elon<br>Sex=Sex_male<br>shap=-1.659",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Sex=Sex_male<br>shap=-1.043",
+          "None=Bateman, Rev. Robert James<br>Sex=Sex_male<br>shap=-1.774",
+          "None=Meo, Mr. Alfonzo<br>Sex=Sex_male<br>shap=-1.815",
+          "None=Cribb, Mr. John Hatfield<br>Sex=Sex_male<br>shap=-1.326",
+          "None=Van der hoef, Mr. Wyckoff<br>Sex=Sex_male<br>shap=0.611",
+          "None=Sivola, Mr. Antti Wilhelm<br>Sex=Sex_male<br>shap=-1.647",
+          "None=Klasen, Mr. Klas Albin<br>Sex=Sex_male<br>shap=-0.968",
+          "None=Rood, Mr. Hugh Roscoe<br>Sex=Sex_male<br>shap=-0.467",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Sex=Sex_male<br>shap=-1.691",
+          "None=Backstrom, Mr. Karl Alfred<br>Sex=Sex_male<br>shap=-1.483",
+          "None=Blank, Mr. Henry<br>Sex=Sex_male<br>shap=-0.257",
+          "None=Ali, Mr. Ahmed<br>Sex=Sex_male<br>shap=-1.618",
+          "None=Green, Mr. George Henry<br>Sex=Sex_male<br>shap=-1.814",
+          "None=Nenkoff, Mr. Christo<br>Sex=Sex_male<br>shap=-1.679",
+          "None=Hunt, Mr. George Henry<br>Sex=Sex_male<br>shap=-1.763",
+          "None=Reed, Mr. James George<br>Sex=Sex_male<br>shap=-1.679",
+          "None=Stead, Mr. William Thomas<br>Sex=Sex_male<br>shap=-0.975",
+          "None=Smith, Mr. Thomas<br>Sex=Sex_male<br>shap=-1.606",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Sex=Sex_male<br>shap=-0.931",
+          "None=Smith, Mr. Richard William<br>Sex=Sex_male<br>shap=-0.467",
+          "None=Levy, Mr. Rene Jacques<br>Sex=Sex_male<br>shap=-1.335",
+          "None=Lewy, Mr. Ervin G<br>Sex=Sex_male<br>shap=0.404",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Sex=Sex_male<br>shap=-1.679",
+          "None=Sage, Mr. George John Jr<br>Sex=Sex_male<br>shap=-0.979",
+          "None=Nysveen, Mr. Johan Hansen<br>Sex=Sex_male<br>shap=-1.824",
+          "None=Denkoff, Mr. Mitto<br>Sex=Sex_male<br>shap=-1.679",
+          "None=Dimic, Mr. Jovan<br>Sex=Sex_male<br>shap=-1.837",
+          "None=del Carlo, Mr. Sebastiano<br>Sex=Sex_male<br>shap=-1.482",
+          "None=Beavan, Mr. William Thomas<br>Sex=Sex_male<br>shap=-1.643",
+          "None=Widener, Mr. Harry Elkins<br>Sex=Sex_male<br>shap=-2.199",
+          "None=Gustafsson, Mr. Karl Gideon<br>Sex=Sex_male<br>shap=-1.643",
+          "None=Plotcharsky, Mr. Vasil<br>Sex=Sex_male<br>shap=-1.679",
+          "None=Goodwin, Master. Sidney Leonard<br>Sex=Sex_male<br>shap=-0.944",
+          "None=Sadlier, Mr. Matthew<br>Sex=Sex_male<br>shap=-1.606",
+          "None=Gustafsson, Mr. Johan Birger<br>Sex=Sex_male<br>shap=-1.396",
+          "None=Niskanen, Mr. Juha<br>Sex=Sex_male<br>shap=-1.858",
+          "None=Matthews, Mr. William John<br>Sex=Sex_male<br>shap=-1.655",
+          "None=Charters, Mr. David<br>Sex=Sex_male<br>shap=-1.582",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Sex=Sex_male<br>shap=-1.647",
+          "None=Peuchen, Major. Arthur Godfrey<br>Sex=Sex_male<br>shap=-0.837",
+          "None=Anderson, Mr. Harry<br>Sex=Sex_male<br>shap=-0.759",
+          "None=Milling, Mr. Jacob Christian<br>Sex=Sex_male<br>shap=-1.768",
+          "None=Karlsson, Mr. Nils August<br>Sex=Sex_male<br>shap=-1.647",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Sex=Sex_male<br>shap=-1.640",
+          "None=Bishop, Mr. Dickinson H<br>Sex=Sex_male<br>shap=-6.958",
+          "None=Windelov, Mr. Einar<br>Sex=Sex_male<br>shap=-1.647",
+          "None=Shellard, Mr. Frederick William<br>Sex=Sex_male<br>shap=-1.679",
+          "None=Svensson, Mr. Olof<br>Sex=Sex_male<br>shap=-1.618",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>Sex=Sex_male<br>shap=-1.062",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Sex=Sex_male<br>shap=0.247",
+          "None=Kassem, Mr. Fared<br>Sex=Sex_male<br>shap=-1.657",
+          "None=Butt, Major. Archibald Willingham<br>Sex=Sex_male<br>shap=0.802",
+          "None=Beane, Mr. Edward<br>Sex=Sex_male<br>shap=-1.440",
+          "None=Goldsmith, Mr. Frank John<br>Sex=Sex_male<br>shap=-1.084",
+          "None=Morrow, Mr. Thomas Rowan<br>Sex=Sex_male<br>shap=-1.606",
+          "None=Harris, Mr. George<br>Sex=Sex_male<br>shap=-1.783",
+          "None=Patchett, Mr. George<br>Sex=Sex_male<br>shap=-1.643",
+          "None=Ross, Mr. John Hugo<br>Sex=Sex_male<br>shap=-0.464",
+          "None=Murdlin, Mr. Joseph<br>Sex=Sex_male<br>shap=-1.679",
+          "None=Boulos, Mr. Hanna<br>Sex=Sex_male<br>shap=-1.657",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Sex=Sex_male<br>shap=-0.967",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>Sex=Sex_male<br>shap=2.394",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Sex=Sex_male<br>shap=-1.627",
+          "None=Daniel, Mr. Robert Williams<br>Sex=Sex_male<br>shap=0.191",
+          "None=Jardin, Mr. Jose Neto<br>Sex=Sex_male<br>shap=-1.679",
+          "None=Horgan, Mr. John<br>Sex=Sex_male<br>shap=-1.606",
+          "None=Yasbeck, Mr. Antoni<br>Sex=Sex_male<br>shap=-1.496",
+          "None=Bostandyeff, Mr. Guentcho<br>Sex=Sex_male<br>shap=-1.691",
+          "None=Lundahl, Mr. Johan Svensson<br>Sex=Sex_male<br>shap=-1.814",
+          "None=Stahelin-Maeglin, Dr. Max<br>Sex=Sex_male<br>shap=-8.042",
+          "None=Willey, Mr. Edward<br>Sex=Sex_male<br>shap=-1.679",
+          "None=Eitemiller, Mr. George Floyd<br>Sex=Sex_male<br>shap=-1.607",
+          "None=Colley, Mr. Edward Pomeroy<br>Sex=Sex_male<br>shap=-0.991",
+          "None=Coleff, Mr. Peju<br>Sex=Sex_male<br>shap=-1.836",
+          "None=Davidson, Mr. Thornton<br>Sex=Sex_male<br>shap=0.494",
+          "None=Hassab, Mr. Hammad<br>Sex=Sex_male<br>shap=-0.311",
+          "None=Goodwin, Mr. Charles Edward<br>Sex=Sex_male<br>shap=-0.935",
+          "None=Panula, Mr. Jaako Arnold<br>Sex=Sex_male<br>shap=-1.005",
+          "None=Fischer, Mr. Eberhard Thelander<br>Sex=Sex_male<br>shap=-1.644",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Sex=Sex_male<br>shap=-1.483",
+          "None=Hansen, Mr. Henrik Juul<br>Sex=Sex_male<br>shap=-1.483",
+          "None=Calderhead, Mr. Edward Pennington<br>Sex=Sex_male<br>shap=-0.661",
+          "None=Klaber, Mr. Herman<br>Sex=Sex_male<br>shap=-0.636",
+          "None=Taylor, Mr. Elmer Zebley<br>Sex=Sex_male<br>shap=-1.622",
+          "None=Larsson, Mr. August Viktor<br>Sex=Sex_male<br>shap=-1.691",
+          "None=Greenberg, Mr. Samuel<br>Sex=Sex_male<br>shap=-1.774",
+          "None=McEvoy, Mr. Michael<br>Sex=Sex_male<br>shap=-1.606",
+          "None=Johnson, Mr. Malkolm Joackim<br>Sex=Sex_male<br>shap=-1.802",
+          "None=Gillespie, Mr. William Henry<br>Sex=Sex_male<br>shap=-1.781",
+          "None=Berriman, Mr. William John<br>Sex=Sex_male<br>shap=-1.607",
+          "None=Troupiansky, Mr. Moses Aaron<br>Sex=Sex_male<br>shap=-1.607",
+          "None=Williams, Mr. Leslie<br>Sex=Sex_male<br>shap=-1.691",
+          "None=Ivanoff, Mr. Kanio<br>Sex=Sex_male<br>shap=-1.679",
+          "None=McNamee, Mr. Neal<br>Sex=Sex_male<br>shap=-1.413",
+          "None=Connaghton, Mr. Michael<br>Sex=Sex_male<br>shap=-1.636",
+          "None=Carlsson, Mr. August Sigfrid<br>Sex=Sex_male<br>shap=-1.691",
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-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>No_of_relatives_on_board=1<br>shap=-1.552",
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-          "index=Ilett, Miss. Bertha<br>No_of_relatives_on_board=0<br>shap=0.264",
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-          "index=Andreasson, Mr. Paul Edvin<br>No_of_relatives_on_board=0<br>shap=-0.11",
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-          "index=Rekic, Mr. Tido<br>No_of_relatives_on_board=0<br>shap=-0.131",
-          "index=Moran, Miss. Bertha<br>No_of_relatives_on_board=1<br>shap=-0.259",
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-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>No_of_relatives_on_board=1<br>shap=-0.259",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>No_of_relatives_on_board=0<br>shap=0.788",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>No_of_relatives_on_board=0<br>shap=-0.111",
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-          "index=Blank, Mr. Henry<br>No_of_relatives_on_board=0<br>shap=-0.6",
-          "index=Ali, Mr. Ahmed<br>No_of_relatives_on_board=0<br>shap=-0.11",
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-          "index=Hunt, Mr. George Henry<br>No_of_relatives_on_board=0<br>shap=-0.14",
-          "index=Reed, Mr. James George<br>No_of_relatives_on_board=0<br>shap=-0.11",
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-          "index=Thorne, Mrs. Gertrude Maybelle<br>No_of_relatives_on_board=0<br>shap=1.096",
-          "index=Parrish, Mrs. (Lutie Davis)<br>No_of_relatives_on_board=1<br>shap=-0.27",
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-          "index=Andrews, Miss. Kornelia Theodosia<br>No_of_relatives_on_board=1<br>shap=-1.381",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_relatives_on_board=2<br>shap=-0.209",
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-          "index=Dimic, Mr. Jovan<br>No_of_relatives_on_board=0<br>shap=-0.129",
-          "index=del Carlo, Mr. Sebastiano<br>No_of_relatives_on_board=1<br>shap=0.161",
-          "index=Beavan, Mr. William Thomas<br>No_of_relatives_on_board=0<br>shap=-0.11",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_relatives_on_board=1<br>shap=-1.395",
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-          "index=Gustafsson, Mr. Karl Gideon<br>No_of_relatives_on_board=0<br>shap=-0.11",
-          "index=Plotcharsky, Mr. Vasil<br>No_of_relatives_on_board=0<br>shap=-0.11",
-          "index=Goodwin, Master. Sidney Leonard<br>No_of_relatives_on_board=7<br>shap=0.176",
-          "index=Sadlier, Mr. Matthew<br>No_of_relatives_on_board=0<br>shap=-0.107",
-          "index=Gustafsson, Mr. Johan Birger<br>No_of_relatives_on_board=2<br>shap=0.135",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_relatives_on_board=2<br>shap=-0.211",
-          "index=Niskanen, Mr. Juha<br>No_of_relatives_on_board=0<br>shap=-0.085",
-          "index=Minahan, Miss. Daisy E<br>No_of_relatives_on_board=1<br>shap=-1.548",
-          "index=Matthews, Mr. William John<br>No_of_relatives_on_board=0<br>shap=-0.13",
-          "index=Charters, Mr. David<br>No_of_relatives_on_board=0<br>shap=-0.107",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_relatives_on_board=0<br>shap=0.264",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_relatives_on_board=2<br>shap=-0.286",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>No_of_relatives_on_board=0<br>shap=-0.063",
-          "index=Peuchen, Major. Arthur Godfrey<br>No_of_relatives_on_board=0<br>shap=-0.577",
-          "index=Anderson, Mr. Harry<br>No_of_relatives_on_board=0<br>shap=-0.681",
-          "index=Milling, Mr. Jacob Christian<br>No_of_relatives_on_board=0<br>shap=-0.147",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_relatives_on_board=3<br>shap=-0.247",
-          "index=Karlsson, Mr. Nils August<br>No_of_relatives_on_board=0<br>shap=-0.11",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_relatives_on_board=0<br>shap=-0.128",
-          "index=Bishop, Mr. Dickinson H<br>No_of_relatives_on_board=1<br>shap=0.793",
-          "index=Windelov, Mr. Einar<br>No_of_relatives_on_board=0<br>shap=-0.11",
-          "index=Shellard, Mr. Frederick William<br>No_of_relatives_on_board=0<br>shap=-0.11",
-          "index=Svensson, Mr. Olof<br>No_of_relatives_on_board=0<br>shap=-0.11",
-          "index=O'Sullivan, Miss. Bridget Mary<br>No_of_relatives_on_board=0<br>shap=0.236",
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-          "index=Penasco y Castellana, Mr. Victor de Satode<br>No_of_relatives_on_board=1<br>shap=0.762",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_relatives_on_board=0<br>shap=-0.682",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_relatives_on_board=1<br>shap=-0.246",
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-          "index=Ohman, Miss. Velin<br>No_of_relatives_on_board=0<br>shap=0.212",
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-          "index=Harris, Mr. George<br>No_of_relatives_on_board=0<br>shap=-0.104",
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-          "index=Ross, Mr. John Hugo<br>No_of_relatives_on_board=0<br>shap=-0.555",
-          "index=Murdlin, Mr. Joseph<br>No_of_relatives_on_board=0<br>shap=-0.11",
-          "index=Bourke, Miss. Mary<br>No_of_relatives_on_board=2<br>shap=-0.271",
-          "index=Boulos, Mr. Hanna<br>No_of_relatives_on_board=0<br>shap=-0.099",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_relatives_on_board=1<br>shap=0.785",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_relatives_on_board=0<br>shap=-0.748",
-          "index=Lindell, Mr. Edvard Bengtsson<br>No_of_relatives_on_board=1<br>shap=0.163",
-          "index=Daniel, Mr. Robert Williams<br>No_of_relatives_on_board=0<br>shap=-0.695",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_relatives_on_board=3<br>shap=-0.179",
-          "index=Shutes, Miss. Elizabeth W<br>No_of_relatives_on_board=0<br>shap=1.483",
-          "index=Jardin, Mr. Jose Neto<br>No_of_relatives_on_board=0<br>shap=-0.11",
-          "index=Horgan, Mr. John<br>No_of_relatives_on_board=0<br>shap=-0.107",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_relatives_on_board=1<br>shap=-0.286",
-          "index=Yasbeck, Mr. Antoni<br>No_of_relatives_on_board=1<br>shap=0.145",
-          "index=Bostandyeff, Mr. Guentcho<br>No_of_relatives_on_board=0<br>shap=-0.111",
-          "index=Lundahl, Mr. Johan Svensson<br>No_of_relatives_on_board=0<br>shap=-0.12",
-          "index=Stahelin-Maeglin, Dr. Max<br>No_of_relatives_on_board=0<br>shap=-0.179",
-          "index=Willey, Mr. Edward<br>No_of_relatives_on_board=0<br>shap=-0.11",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>No_of_relatives_on_board=0<br>shap=0.213",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>No_of_relatives_on_board=0<br>shap=0.236",
-          "index=Eitemiller, Mr. George Floyd<br>No_of_relatives_on_board=0<br>shap=-0.128",
-          "index=Colley, Mr. Edward Pomeroy<br>No_of_relatives_on_board=0<br>shap=-0.687",
-          "index=Coleff, Mr. Peju<br>No_of_relatives_on_board=0<br>shap=-0.122",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_relatives_on_board=2<br>shap=-0.286",
-          "index=Davidson, Mr. Thornton<br>No_of_relatives_on_board=1<br>shap=0.734",
-          "index=Turja, Miss. Anna Sofia<br>No_of_relatives_on_board=0<br>shap=0.212",
-          "index=Hassab, Mr. Hammad<br>No_of_relatives_on_board=0<br>shap=-0.535",
-          "index=Goodwin, Mr. Charles Edward<br>No_of_relatives_on_board=7<br>shap=0.176",
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-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_relatives_on_board=0<br>shap=-0.11",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_relatives_on_board=1<br>shap=-1.268",
-          "index=Hansen, Mr. Henrik Juul<br>No_of_relatives_on_board=1<br>shap=0.16",
-          "index=Calderhead, Mr. Edward Pennington<br>No_of_relatives_on_board=0<br>shap=-0.686",
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+          "None=Plotcharsky, Mr. Vasil<br>Deck=Deck_Unkown<br>shap=-0.497",
+          "None=Goodwin, Master. Sidney Leonard<br>Deck=Deck_Unkown<br>shap=-0.350",
+          "None=Sadlier, Mr. Matthew<br>Deck=Deck_Unkown<br>shap=-0.503",
+          "None=Gustafsson, Mr. Johan Birger<br>Deck=Deck_Unkown<br>shap=-0.367",
+          "None=Niskanen, Mr. Juha<br>Deck=Deck_Unkown<br>shap=-0.635",
+          "None=Matthews, Mr. William John<br>Deck=Deck_Unkown<br>shap=-0.488",
+          "None=Charters, Mr. David<br>Deck=Deck_Unkown<br>shap=-0.503",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Deck=Deck_Unkown<br>shap=0.707",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Deck=Deck_Unkown<br>shap=0.618",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Deck=Deck_Unkown<br>shap=-0.546",
+          "None=Milling, Mr. Jacob Christian<br>Deck=Deck_Unkown<br>shap=-0.578",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Deck=Deck_Unkown<br>shap=0.586",
+          "None=Karlsson, Mr. Nils August<br>Deck=Deck_Unkown<br>shap=-0.497",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Deck=Deck_Unkown<br>shap=-0.497",
+          "None=Windelov, Mr. Einar<br>Deck=Deck_Unkown<br>shap=-0.497",
+          "None=Shellard, Mr. Frederick William<br>Deck=Deck_Unkown<br>shap=-0.497",
+          "None=Svensson, Mr. Olof<br>Deck=Deck_Unkown<br>shap=-0.492",
+          "None=O'Sullivan, Miss. Bridget Mary<br>Deck=Deck_Unkown<br>shap=0.651",
+          "None=Laitinen, Miss. Kristina Sofia<br>Deck=Deck_Unkown<br>shap=0.797",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Deck=Deck_Unkown<br>shap=-2.714",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Deck=Deck_Unkown<br>shap=0.710",
+          "None=Kassem, Mr. Fared<br>Deck=Deck_Unkown<br>shap=-0.602",
+          "None=Cacic, Miss. Marija<br>Deck=Deck_Unkown<br>shap=0.673",
+          "None=Hart, Miss. Eva Miriam<br>Deck=Deck_Unkown<br>shap=0.654",
+          "None=Beane, Mr. Edward<br>Deck=Deck_Unkown<br>shap=-0.457",
+          "None=Goldsmith, Mr. Frank John<br>Deck=Deck_Unkown<br>shap=-0.477",
+          "None=Ohman, Miss. Velin<br>Deck=Deck_Unkown<br>shap=0.707",
+          "None=Morrow, Mr. Thomas Rowan<br>Deck=Deck_Unkown<br>shap=-0.503",
+          "None=Harris, Mr. George<br>Deck=Deck_Unkown<br>shap=-0.622",
+          "None=Patchett, Mr. George<br>Deck=Deck_Unkown<br>shap=-0.496",
+          "None=Murdlin, Mr. Joseph<br>Deck=Deck_Unkown<br>shap=-0.497",
+          "None=Bourke, Miss. Mary<br>Deck=Deck_Unkown<br>shap=0.624",
+          "None=Boulos, Mr. Hanna<br>Deck=Deck_Unkown<br>shap=-0.602",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>Deck=Deck_Unkown<br>shap=-4.568",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Deck=Deck_Unkown<br>shap=-0.495",
+          "None=Daniel, Mr. Robert Williams<br>Deck=Deck_Unkown<br>shap=-2.613",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Deck=Deck_Unkown<br>shap=0.664",
+          "None=Jardin, Mr. Jose Neto<br>Deck=Deck_Unkown<br>shap=-0.497",
+          "None=Horgan, Mr. John<br>Deck=Deck_Unkown<br>shap=-0.503",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Deck=Deck_Unkown<br>shap=0.574",
+          "None=Yasbeck, Mr. Antoni<br>Deck=Deck_Unkown<br>shap=-0.522",
+          "None=Bostandyeff, Mr. Guentcho<br>Deck=Deck_Unkown<br>shap=-0.488",
+          "None=Lundahl, Mr. Johan Svensson<br>Deck=Deck_Unkown<br>shap=-0.574",
+          "None=Willey, Mr. Edward<br>Deck=Deck_Unkown<br>shap=-0.497",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>Deck=Deck_Unkown<br>shap=0.707",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>Deck=Deck_Unkown<br>shap=0.648",
+          "None=Eitemiller, Mr. George Floyd<br>Deck=Deck_Unkown<br>shap=-0.497",
+          "None=Coleff, Mr. Peju<br>Deck=Deck_Unkown<br>shap=-0.565",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Deck=Deck_Unkown<br>shap=0.632",
+          "None=Turja, Miss. Anna Sofia<br>Deck=Deck_Unkown<br>shap=0.707",
+          "None=Goodwin, Mr. Charles Edward<br>Deck=Deck_Unkown<br>shap=-0.350",
+          "None=Panula, Mr. Jaako Arnold<br>Deck=Deck_Unkown<br>shap=-0.359",
+          "None=Fischer, Mr. Eberhard Thelander<br>Deck=Deck_Unkown<br>shap=-0.496",
+          "None=Hansen, Mr. Henrik Juul<br>Deck=Deck_Unkown<br>shap=-0.417",
+          "None=Larsson, Mr. August Viktor<br>Deck=Deck_Unkown<br>shap=-0.488",
+          "None=Greenberg, Mr. Samuel<br>Deck=Deck_Unkown<br>shap=-0.574",
+          "None=McEvoy, Mr. Michael<br>Deck=Deck_Unkown<br>shap=-0.503",
+          "None=Johnson, Mr. Malkolm Joackim<br>Deck=Deck_Unkown<br>shap=-0.566",
+          "None=Gillespie, Mr. William Henry<br>Deck=Deck_Unkown<br>shap=-0.567",
+          "None=Berriman, Mr. William John<br>Deck=Deck_Unkown<br>shap=-0.497",
+          "None=Troupiansky, Mr. Moses Aaron<br>Deck=Deck_Unkown<br>shap=-0.497",
+          "None=Williams, Mr. Leslie<br>Deck=Deck_Unkown<br>shap=-0.488",
+          "None=Ivanoff, Mr. Kanio<br>Deck=Deck_Unkown<br>shap=-0.497",
+          "None=McNamee, Mr. Neal<br>Deck=Deck_Unkown<br>shap=-0.421",
+          "None=Connaghton, Mr. Michael<br>Deck=Deck_Unkown<br>shap=-0.494",
+          "None=Carlsson, Mr. August Sigfrid<br>Deck=Deck_Unkown<br>shap=-0.488",
+          "None=Eklund, Mr. Hans Linus<br>Deck=Deck_Unkown<br>shap=-0.498",
+          "None=Moran, Mr. Daniel J<br>Deck=Deck_Unkown<br>shap=-0.432",
+          "None=Lievens, Mr. Rene Aime<br>Deck=Deck_Unkown<br>shap=-0.492",
+          "None=Ayoub, Miss. Banoura<br>Deck=Deck_Unkown<br>shap=0.806",
+          "None=Johnston, Mr. Andrew G<br>Deck=Deck_Unkown<br>shap=-0.436",
+          "None=Ali, Mr. William<br>Deck=Deck_Unkown<br>shap=-0.488",
+          "None=Sjoblom, Miss. Anna Sofia<br>Deck=Deck_Unkown<br>shap=0.707",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Deck=Deck_Unkown<br>shap=0.554",
+          "None=Thomas, Master. Assad Alexander<br>Deck=Deck_Unkown<br>shap=-0.692",
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+          "None=Slemen, Mr. Richard James<br>Deck=Deck_Unkown<br>shap=-0.564",
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-         "name": "Southampton",
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-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Embarked=Southampton<br>shap=0.556",
-          "index=Palsson, Master. Gosta Leonard<br>Embarked=Southampton<br>shap=-0.075",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Embarked=Southampton<br>shap=0.115",
-          "index=Saundercock, Mr. William Henry<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Embarked=Southampton<br>shap=0.173",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Embarked=Southampton<br>shap=0.099",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Embarked=Southampton<br>shap=0.137",
-          "index=Rugg, Miss. Emily<br>Embarked=Southampton<br>shap=0.179",
-          "index=Harris, Mr. Henry Birkhardt<br>Embarked=Southampton<br>shap=-0.227",
-          "index=Skoog, Master. Harald<br>Embarked=Southampton<br>shap=-0.07",
-          "index=Kink, Mr. Vincenz<br>Embarked=Southampton<br>shap=-0.094",
-          "index=Hood, Mr. Ambrose Jr<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Ilett, Miss. Bertha<br>Embarked=Southampton<br>shap=0.179",
-          "index=Ford, Mr. William Neal<br>Embarked=Southampton<br>shap=-0.075",
-          "index=Christmann, Mr. Emil<br>Embarked=Southampton<br>shap=-0.106",
-          "index=Andreasson, Mr. Paul Edvin<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Chaffee, Mr. Herbert Fuller<br>Embarked=Southampton<br>shap=-0.283",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Embarked=Southampton<br>shap=-0.108",
-          "index=White, Mr. Richard Frasar<br>Embarked=Southampton<br>shap=-0.11",
-          "index=Rekic, Mr. Tido<br>Embarked=Southampton<br>shap=-0.112",
-          "index=Barton, Mr. David John<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Jussila, Miss. Katriina<br>Embarked=Southampton<br>shap=0.137",
-          "index=Pekoniemi, Mr. Edvard<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Turpin, Mr. William John Robert<br>Embarked=Southampton<br>shap=-0.092",
-          "index=Moore, Mr. Leonard Charles<br>Embarked=Southampton<br>shap=-0.108",
-          "index=Osen, Mr. Olaf Elon<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Embarked=Southampton<br>shap=0.098",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Embarked=Southampton<br>shap=-0.088",
-          "index=Bateman, Rev. Robert James<br>Embarked=Southampton<br>shap=-0.109",
-          "index=Meo, Mr. Alfonzo<br>Embarked=Southampton<br>shap=-0.109",
-          "index=Cribb, Mr. John Hatfield<br>Embarked=Southampton<br>shap=-0.085",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Embarked=Southampton<br>shap=0.562",
-          "index=Van der hoef, Mr. Wyckoff<br>Embarked=Southampton<br>shap=-1.778",
-          "index=Sivola, Mr. Antti Wilhelm<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Klasen, Mr. Klas Albin<br>Embarked=Southampton<br>shap=-0.078",
-          "index=Rood, Mr. Hugh Roscoe<br>Embarked=Southampton<br>shap=-0.39",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Embarked=Southampton<br>shap=0.144",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Embarked=Southampton<br>shap=-0.106",
-          "index=Backstrom, Mr. Karl Alfred<br>Embarked=Southampton<br>shap=-0.096",
-          "index=Ali, Mr. Ahmed<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Green, Mr. George Henry<br>Embarked=Southampton<br>shap=-0.109",
-          "index=Nenkoff, Mr. Christo<br>Embarked=Southampton<br>shap=-0.108",
-          "index=Asplund, Miss. Lillian Gertrud<br>Embarked=Southampton<br>shap=0.097",
-          "index=Harknett, Miss. Alice Phoebe<br>Embarked=Southampton<br>shap=0.173",
-          "index=Hunt, Mr. George Henry<br>Embarked=Southampton<br>shap=-0.11",
-          "index=Reed, Mr. James George<br>Embarked=Southampton<br>shap=-0.108",
-          "index=Stead, Mr. William Thomas<br>Embarked=Southampton<br>shap=-0.328",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Embarked=Southampton<br>shap=0.135",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Embarked=Southampton<br>shap=-0.086",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Embarked=Southampton<br>shap=0.536",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Embarked=Southampton<br>shap=0.113",
-          "index=Smith, Mr. Richard William<br>Embarked=Southampton<br>shap=-0.39",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Embarked=Southampton<br>shap=-0.108",
-          "index=Sage, Mr. George John Jr<br>Embarked=Southampton<br>shap=-0.07",
-          "index=Nysveen, Mr. Johan Hansen<br>Embarked=Southampton<br>shap=-0.109",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Embarked=Southampton<br>shap=0.664",
-          "index=Denkoff, Mr. Mitto<br>Embarked=Southampton<br>shap=-0.108",
-          "index=Dimic, Mr. Jovan<br>Embarked=Southampton<br>shap=-0.112",
-          "index=Beavan, Mr. William Thomas<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Gustafsson, Mr. Karl Gideon<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Plotcharsky, Mr. Vasil<br>Embarked=Southampton<br>shap=-0.108",
-          "index=Goodwin, Master. Sidney Leonard<br>Embarked=Southampton<br>shap=-0.07",
-          "index=Gustafsson, Mr. Johan Birger<br>Embarked=Southampton<br>shap=-0.094",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Embarked=Southampton<br>shap=0.116",
-          "index=Niskanen, Mr. Juha<br>Embarked=Southampton<br>shap=-0.149",
-          "index=Matthews, Mr. William John<br>Embarked=Southampton<br>shap=-0.11",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Embarked=Southampton<br>shap=0.179",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Embarked=Southampton<br>shap=0.112",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Embarked=Southampton<br>shap=-0.145",
-          "index=Peuchen, Major. Arthur Godfrey<br>Embarked=Southampton<br>shap=-0.752",
-          "index=Anderson, Mr. Harry<br>Embarked=Southampton<br>shap=-0.837",
-          "index=Milling, Mr. Jacob Christian<br>Embarked=Southampton<br>shap=-0.112",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Embarked=Southampton<br>shap=0.107",
-          "index=Karlsson, Mr. Nils August<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Embarked=Southampton<br>shap=-0.108",
-          "index=Windelov, Mr. Einar<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Shellard, Mr. Frederick William<br>Embarked=Southampton<br>shap=-0.108",
-          "index=Svensson, Mr. Olof<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Laitinen, Miss. Kristina Sofia<br>Embarked=Southampton<br>shap=0.175",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Embarked=Southampton<br>shap=-0.81",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Embarked=Southampton<br>shap=0.148",
-          "index=Cacic, Miss. Marija<br>Embarked=Southampton<br>shap=0.173",
-          "index=Hart, Miss. Eva Miriam<br>Embarked=Southampton<br>shap=0.117",
-          "index=Butt, Major. Archibald Willingham<br>Embarked=Southampton<br>shap=-1.861",
-          "index=Beane, Mr. Edward<br>Embarked=Southampton<br>shap=-0.133",
-          "index=Goldsmith, Mr. Frank John<br>Embarked=Southampton<br>shap=-0.081",
-          "index=Ohman, Miss. Velin<br>Embarked=Southampton<br>shap=0.179",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Embarked=Southampton<br>shap=0.365",
-          "index=Harris, Mr. George<br>Embarked=Southampton<br>shap=-0.146",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Embarked=Southampton<br>shap=0.373",
-          "index=Patchett, Mr. George<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Murdlin, Mr. Joseph<br>Embarked=Southampton<br>shap=-0.108",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Embarked=Southampton<br>shap=-0.099",
-          "index=Daniel, Mr. Robert Williams<br>Embarked=Southampton<br>shap=-0.795",
-          "index=Shutes, Miss. Elizabeth W<br>Embarked=Southampton<br>shap=0.85",
-          "index=Jardin, Mr. Jose Neto<br>Embarked=Southampton<br>shap=-0.108",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Embarked=Southampton<br>shap=0.136",
-          "index=Bostandyeff, Mr. Guentcho<br>Embarked=Southampton<br>shap=-0.106",
-          "index=Lundahl, Mr. Johan Svensson<br>Embarked=Southampton<br>shap=-0.109",
-          "index=Willey, Mr. Edward<br>Embarked=Southampton<br>shap=-0.108",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Embarked=Southampton<br>shap=0.179",
-          "index=Eitemiller, Mr. George Floyd<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Colley, Mr. Edward Pomeroy<br>Embarked=Southampton<br>shap=-0.417",
-          "index=Coleff, Mr. Peju<br>Embarked=Southampton<br>shap=-0.113",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Embarked=Southampton<br>shap=0.112",
-          "index=Davidson, Mr. Thornton<br>Embarked=Southampton<br>shap=-1.726",
-          "index=Turja, Miss. Anna Sofia<br>Embarked=Southampton<br>shap=0.179",
-          "index=Goodwin, Mr. Charles Edward<br>Embarked=Southampton<br>shap=-0.07",
-          "index=Panula, Mr. Jaako Arnold<br>Embarked=Southampton<br>shap=-0.07",
-          "index=Fischer, Mr. Eberhard Thelander<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Embarked=Southampton<br>shap=-0.112",
-          "index=Hansen, Mr. Henrik Juul<br>Embarked=Southampton<br>shap=-0.092",
-          "index=Calderhead, Mr. Edward Pennington<br>Embarked=Southampton<br>shap=-0.837",
-          "index=Klaber, Mr. Herman<br>Embarked=Southampton<br>shap=-0.334",
-          "index=Taylor, Mr. Elmer Zebley<br>Embarked=Southampton<br>shap=-0.647",
-          "index=Larsson, Mr. August Viktor<br>Embarked=Southampton<br>shap=-0.106",
-          "index=Greenberg, Mr. Samuel<br>Embarked=Southampton<br>shap=-0.109",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Embarked=Southampton<br>shap=0.177",
-          "index=Johnson, Mr. Malkolm Joackim<br>Embarked=Southampton<br>shap=-0.11",
-          "index=Gillespie, Mr. William Henry<br>Embarked=Southampton<br>shap=-0.113",
-          "index=Allen, Miss. Elisabeth Walton<br>Embarked=Southampton<br>shap=1.721",
-          "index=Berriman, Mr. William John<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Troupiansky, Mr. Moses Aaron<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Williams, Mr. Leslie<br>Embarked=Southampton<br>shap=-0.106",
-          "index=Ivanoff, Mr. Kanio<br>Embarked=Southampton<br>shap=-0.108",
-          "index=McNamee, Mr. Neal<br>Embarked=Southampton<br>shap=-0.093",
-          "index=Carlsson, Mr. August Sigfrid<br>Embarked=Southampton<br>shap=-0.106",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Embarked=Southampton<br>shap=1.912",
-          "index=Eklund, Mr. Hans Linus<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Embarked=Southampton<br>shap=0.537",
-          "index=Lievens, Mr. Rene Aime<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Embarked=Southampton<br>shap=1.463",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Embarked=Southampton<br>shap=1.381",
-          "index=Johnston, Mr. Andrew G<br>Embarked=Southampton<br>shap=-0.076",
-          "index=Ali, Mr. William<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Sjoblom, Miss. Anna Sofia<br>Embarked=Southampton<br>shap=0.179",
-          "index=Leader, Dr. Alice (Farnham)<br>Embarked=Southampton<br>shap=0.866",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Embarked=Southampton<br>shap=0.111",
-          "index=Carter, Master. William Thornton II<br>Embarked=Southampton<br>shap=-1.404",
-          "index=Johansson, Mr. Karl Johan<br>Embarked=Southampton<br>shap=-0.11",
-          "index=Slemen, Mr. Richard James<br>Embarked=Southampton<br>shap=-0.113",
-          "index=Tomlin, Mr. Ernest Portage<br>Embarked=Southampton<br>shap=-0.11",
-          "index=Richards, Master. George Sibley<br>Embarked=Southampton<br>shap=-0.097",
-          "index=Mudd, Mr. Thomas Charles<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Sage, Mr. Douglas Bullen<br>Embarked=Southampton<br>shap=-0.07",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Embarked=Southampton<br>shap=0.134",
-          "index=Johnson, Master. Harold Theodor<br>Embarked=Southampton<br>shap=-0.097",
-          "index=Carlsson, Mr. Frans Olof<br>Embarked=Southampton<br>shap=-1.867",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Embarked=Southampton<br>shap=-0.107",
-          "index=Montvila, Rev. Juozas<br>Embarked=Southampton<br>shap=-0.106"
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-          "index=Green, Mr. George Henry<br>Age=51.0<br>shap=-0.114",
-          "index=Nenkoff, Mr. Christo<br>Age=nan<br>shap=0.124",
-          "index=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>shap=-0.106",
-          "index=Harknett, Miss. Alice Phoebe<br>Age=nan<br>shap=-0.193",
-          "index=Hunt, Mr. George Henry<br>Age=33.0<br>shap=-0.121",
-          "index=Reed, Mr. James George<br>Age=nan<br>shap=0.124",
-          "index=Stead, Mr. William Thomas<br>Age=62.0<br>shap=-0.18",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Age=nan<br>shap=-1.582",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>shap=0.242",
-          "index=Smith, Mr. Thomas<br>Age=nan<br>shap=0.125",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>shap=0.064",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Age=nan<br>shap=-0.195",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>shap=-0.193",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>shap=0.132",
-          "index=Smith, Mr. Richard William<br>Age=nan<br>shap=0.079",
-          "index=Connolly, Miss. Kate<br>Age=22.0<br>shap=-0.27",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>shap=-0.321",
-          "index=Levy, Mr. Rene Jacques<br>Age=36.0<br>shap=-0.067",
-          "index=Lewy, Mr. Ervin G<br>Age=nan<br>shap=1.04",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Age=nan<br>shap=0.124",
-          "index=Sage, Mr. George John Jr<br>Age=nan<br>shap=0.068",
-          "index=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>shap=-0.112",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=nan<br>shap=-0.966",
-          "index=Denkoff, Mr. Mitto<br>Age=nan<br>shap=0.124",
-          "index=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>shap=1.19",
-          "index=Dimic, Mr. Jovan<br>Age=42.0<br>shap=-0.204",
-          "index=del Carlo, Mr. Sebastiano<br>Age=29.0<br>shap=0.083",
-          "index=Beavan, Mr. William Thomas<br>Age=19.0<br>shap=0.178",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=nan<br>shap=-0.944",
-          "index=Widener, Mr. Harry Elkins<br>Age=27.0<br>shap=0.358",
-          "index=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>shap=0.178",
-          "index=Plotcharsky, Mr. Vasil<br>Age=nan<br>shap=0.124",
-          "index=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>shap=0.065",
-          "index=Sadlier, Mr. Matthew<br>Age=nan<br>shap=0.125",
-          "index=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>shap=0.092",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>shap=-0.164",
-          "index=Niskanen, Mr. Juha<br>Age=39.0<br>shap=-0.211",
-          "index=Minahan, Miss. Daisy E<br>Age=33.0<br>shap=0.131",
-          "index=Matthews, Mr. William John<br>Age=30.0<br>shap=0.138",
-          "index=Charters, Mr. David<br>Age=21.0<br>shap=0.179",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=19.0<br>shap=-0.267",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>shap=0.209",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>shap=0.123",
-          "index=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>shap=-0.183",
-          "index=Anderson, Mr. Harry<br>Age=48.0<br>shap=-0.364",
-          "index=Milling, Mr. Jacob Christian<br>Age=48.0<br>shap=-0.17",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>shap=0.082",
-          "index=Karlsson, Mr. Nils August<br>Age=22.0<br>shap=0.178",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Age=nan<br>shap=0.124",
-          "index=Bishop, Mr. Dickinson H<br>Age=25.0<br>shap=-0.329",
-          "index=Windelov, Mr. Einar<br>Age=21.0<br>shap=0.178",
-          "index=Shellard, Mr. Frederick William<br>Age=nan<br>shap=0.124",
-          "index=Svensson, Mr. Olof<br>Age=24.0<br>shap=0.166",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>shap=-0.196",
-          "index=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>shap=0.306",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>shap=0.3",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=nan<br>shap=1.083",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=36.0<br>shap=0.192",
-          "index=Kassem, Mr. Fared<br>Age=nan<br>shap=0.117",
-          "index=Cacic, Miss. Marija<br>Age=30.0<br>shap=-0.184",
-          "index=Hart, Miss. Eva Miriam<br>Age=7.0<br>shap=-0.201",
-          "index=Butt, Major. Archibald Willingham<br>Age=45.0<br>shap=-0.519",
-          "index=Beane, Mr. Edward<br>Age=32.0<br>shap=0.1",
-          "index=Goldsmith, Mr. Frank John<br>Age=33.0<br>shap=-0.065",
-          "index=Ohman, Miss. Velin<br>Age=22.0<br>shap=-0.267",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>shap=0.635",
-          "index=Morrow, Mr. Thomas Rowan<br>Age=nan<br>shap=0.125",
-          "index=Harris, Mr. George<br>Age=62.0<br>shap=-0.111",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>shap=-0.016",
-          "index=Patchett, Mr. George<br>Age=19.0<br>shap=0.178",
-          "index=Ross, Mr. John Hugo<br>Age=36.0<br>shap=-0.366",
-          "index=Murdlin, Mr. Joseph<br>Age=nan<br>shap=0.124",
-          "index=Bourke, Miss. Mary<br>Age=nan<br>shap=-0.208",
-          "index=Boulos, Mr. Hanna<br>Age=nan<br>shap=0.117",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Age=49.0<br>shap=-0.011",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=35.0<br>shap=-1.338",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>shap=-0.126",
-          "index=Daniel, Mr. Robert Williams<br>Age=27.0<br>shap=1.07",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>shap=-0.247",
-          "index=Shutes, Miss. Elizabeth W<br>Age=40.0<br>shap=1.358",
-          "index=Jardin, Mr. Jose Neto<br>Age=nan<br>shap=0.124",
-          "index=Horgan, Mr. John<br>Age=nan<br>shap=0.125",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>shap=-0.141",
-          "index=Yasbeck, Mr. Antoni<br>Age=27.0<br>shap=0.083",
-          "index=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>shap=0.134",
-          "index=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>shap=-0.114",
-          "index=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>shap=0.338",
-          "index=Willey, Mr. Edward<br>Age=nan<br>shap=0.124",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>shap=-0.242",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Age=18.0<br>shap=-0.271",
-          "index=Eitemiller, Mr. George Floyd<br>Age=23.0<br>shap=0.166",
-          "index=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>shap=-0.367",
-          "index=Coleff, Mr. Peju<br>Age=36.0<br>shap=-0.166",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>shap=0.25",
-          "index=Davidson, Mr. Thornton<br>Age=31.0<br>shap=0.096",
-          "index=Turja, Miss. Anna Sofia<br>Age=18.0<br>shap=-0.267",
-          "index=Hassab, Mr. Hammad<br>Age=27.0<br>shap=0.008",
-          "index=Goodwin, Mr. Charles Edward<br>Age=14.0<br>shap=0.065",
-          "index=Panula, Mr. Jaako Arnold<br>Age=14.0<br>shap=0.066",
-          "index=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>shap=0.178",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>shap=-0.11",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>shap=-0.59",
-          "index=Hansen, Mr. Henrik Juul<br>Age=26.0<br>shap=0.099",
-          "index=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>shap=-0.561",
-          "index=Klaber, Mr. Herman<br>Age=nan<br>shap=0.314",
-          "index=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>shap=-0.18",
-          "index=Larsson, Mr. August Viktor<br>Age=29.0<br>shap=0.127",
-          "index=Greenberg, Mr. Samuel<br>Age=52.0<br>shap=-0.114",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Age=27.0<br>shap=-0.051",
-          "index=McEvoy, Mr. Michael<br>Age=nan<br>shap=0.125",
-          "index=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>shap=-0.121",
-          "index=Gillespie, Mr. William Henry<br>Age=34.0<br>shap=-0.149",
-          "index=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>shap=-0.227",
-          "index=Berriman, Mr. William John<br>Age=23.0<br>shap=0.166",
-          "index=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>shap=0.166",
-          "index=Williams, Mr. Leslie<br>Age=28.5<br>shap=0.127",
-          "index=Ivanoff, Mr. Kanio<br>Age=nan<br>shap=0.124",
-          "index=McNamee, Mr. Neal<br>Age=24.0<br>shap=0.132",
-          "index=Connaghton, Mr. Michael<br>Age=31.0<br>shap=0.137",
-          "index=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>shap=0.127",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>shap=0.052",
-          "index=Eklund, Mr. Hans Linus<br>Age=16.0<br>shap=0.154",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>shap=-0.204",
-          "index=Moran, Mr. Daniel J<br>Age=nan<br>shap=0.09",
-          "index=Lievens, Mr. Rene Aime<br>Age=24.0<br>shap=0.166",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>shap=0.836",
-          "index=Ayoub, Miss. Banoura<br>Age=13.0<br>shap=-0.184",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>shap=-0.704",
-          "index=Johnston, Mr. Andrew G<br>Age=nan<br>shap=0.116",
-          "index=Ali, Mr. William<br>Age=25.0<br>shap=0.167",
-          "index=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>shap=-0.267",
-          "index=Guggenheim, Mr. Benjamin<br>Age=46.0<br>shap=-0.408",
-          "index=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>shap=0.638",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>shap=-0.188",
-          "index=Carter, Master. William Thornton II<br>Age=11.0<br>shap=0.075",
-          "index=Thomas, Master. Assad Alexander<br>Age=0.42<br>shap=0.143",
-          "index=Johansson, Mr. Karl Johan<br>Age=31.0<br>shap=0.135",
-          "index=Slemen, Mr. Richard James<br>Age=35.0<br>shap=-0.166",
-          "index=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>shap=0.135",
-          "index=McCormack, Mr. Thomas Joseph<br>Age=nan<br>shap=0.125",
-          "index=Richards, Master. George Sibley<br>Age=0.83<br>shap=0.115",
-          "index=Mudd, Mr. Thomas Charles<br>Age=16.0<br>shap=0.154",
-          "index=Lemberopolous, Mr. Peter L<br>Age=34.5<br>shap=-0.173",
-          "index=Sage, Mr. Douglas Bullen<br>Age=nan<br>shap=0.068",
-          "index=Boulos, Miss. Nourelain<br>Age=9.0<br>shap=-0.172",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>shap=-0.305",
-          "index=Razi, Mr. Raihed<br>Age=nan<br>shap=0.117",
-          "index=Johnson, Master. Harold Theodor<br>Age=4.0<br>shap=0.115",
-          "index=Carlsson, Mr. Frans Olof<br>Age=33.0<br>shap=-0.112",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>shap=0.178",
-          "index=Montvila, Rev. Juozas<br>Age=27.0<br>shap=0.127"
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-          "index=Harknett, Miss. Alice Phoebe<br>No_of_parents_plus_children_on_board=0<br>shap=0.128",
-          "index=Hunt, Mr. George Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.075",
-          "index=Reed, Mr. James George<br>No_of_parents_plus_children_on_board=0<br>shap=-0.077",
-          "index=Stead, Mr. William Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.337",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>No_of_parents_plus_children_on_board=0<br>shap=0.601",
-          "index=Parrish, Mrs. (Lutie Davis)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.296",
-          "index=Smith, Mr. Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.067",
-          "index=Asplund, Master. Edvin Rojj Felix<br>No_of_parents_plus_children_on_board=2<br>shap=0.143",
-          "index=Healy, Miss. Hanora \"Nora\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.115",
-          "index=Andrews, Miss. Kornelia Theodosia<br>No_of_parents_plus_children_on_board=0<br>shap=0.404",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.311",
-          "index=Smith, Mr. Richard William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.492",
-          "index=Connolly, Miss. Kate<br>No_of_parents_plus_children_on_board=0<br>shap=0.115",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_parents_plus_children_on_board=0<br>shap=0.392",
-          "index=Levy, Mr. Rene Jacques<br>No_of_parents_plus_children_on_board=0<br>shap=-0.067",
-          "index=Lewy, Mr. Ervin G<br>No_of_parents_plus_children_on_board=0<br>shap=-0.385",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_parents_plus_children_on_board=0<br>shap=-0.077",
-          "index=Sage, Mr. George John Jr<br>No_of_parents_plus_children_on_board=2<br>shap=0.155",
-          "index=Nysveen, Mr. Johan Hansen<br>No_of_parents_plus_children_on_board=0<br>shap=-0.067",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_parents_plus_children_on_board=0<br>shap=0.587",
-          "index=Denkoff, Mr. Mitto<br>No_of_parents_plus_children_on_board=0<br>shap=-0.077",
-          "index=Burns, Miss. Elizabeth Margaret<br>No_of_parents_plus_children_on_board=0<br>shap=0.547",
-          "index=Dimic, Mr. Jovan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.07",
-          "index=del Carlo, Mr. Sebastiano<br>No_of_parents_plus_children_on_board=0<br>shap=-0.049",
-          "index=Beavan, Mr. William Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.077",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_parents_plus_children_on_board=0<br>shap=0.471",
-          "index=Widener, Mr. Harry Elkins<br>No_of_parents_plus_children_on_board=2<br>shap=1.18",
-          "index=Gustafsson, Mr. Karl Gideon<br>No_of_parents_plus_children_on_board=0<br>shap=-0.077",
-          "index=Plotcharsky, Mr. Vasil<br>No_of_parents_plus_children_on_board=0<br>shap=-0.077",
-          "index=Goodwin, Master. Sidney Leonard<br>No_of_parents_plus_children_on_board=2<br>shap=0.156",
-          "index=Sadlier, Mr. Matthew<br>No_of_parents_plus_children_on_board=0<br>shap=-0.067",
-          "index=Gustafsson, Mr. Johan Birger<br>No_of_parents_plus_children_on_board=0<br>shap=-0.05",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_parents_plus_children_on_board=2<br>shap=-0.412",
-          "index=Niskanen, Mr. Juha<br>No_of_parents_plus_children_on_board=0<br>shap=-0.067",
-          "index=Minahan, Miss. Daisy E<br>No_of_parents_plus_children_on_board=0<br>shap=0.532",
-          "index=Matthews, Mr. William John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.075",
-          "index=Charters, Mr. David<br>No_of_parents_plus_children_on_board=0<br>shap=-0.067",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_parents_plus_children_on_board=0<br>shap=0.115",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.224",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>No_of_parents_plus_children_on_board=0<br>shap=-0.074",
-          "index=Peuchen, Major. Arthur Godfrey<br>No_of_parents_plus_children_on_board=0<br>shap=-0.332",
-          "index=Anderson, Mr. Harry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.399",
-          "index=Milling, Mr. Jacob Christian<br>No_of_parents_plus_children_on_board=0<br>shap=-0.064",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_parents_plus_children_on_board=2<br>shap=-0.362",
-          "index=Karlsson, Mr. Nils August<br>No_of_parents_plus_children_on_board=0<br>shap=-0.077",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_parents_plus_children_on_board=0<br>shap=-0.072",
-          "index=Bishop, Mr. Dickinson H<br>No_of_parents_plus_children_on_board=0<br>shap=-0.048",
-          "index=Windelov, Mr. Einar<br>No_of_parents_plus_children_on_board=0<br>shap=-0.077",
-          "index=Shellard, Mr. Frederick William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.077",
-          "index=Svensson, Mr. Olof<br>No_of_parents_plus_children_on_board=0<br>shap=-0.077",
-          "index=O'Sullivan, Miss. Bridget Mary<br>No_of_parents_plus_children_on_board=0<br>shap=0.116",
-          "index=Laitinen, Miss. Kristina Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=0.127",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>No_of_parents_plus_children_on_board=0<br>shap=-0.278",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.49",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_parents_plus_children_on_board=0<br>shap=0.095",
-          "index=Kassem, Mr. Fared<br>No_of_parents_plus_children_on_board=0<br>shap=-0.064",
-          "index=Cacic, Miss. Marija<br>No_of_parents_plus_children_on_board=0<br>shap=0.132",
-          "index=Hart, Miss. Eva Miriam<br>No_of_parents_plus_children_on_board=2<br>shap=-0.386",
-          "index=Butt, Major. Archibald Willingham<br>No_of_parents_plus_children_on_board=0<br>shap=-0.539",
-          "index=Beane, Mr. Edward<br>No_of_parents_plus_children_on_board=0<br>shap=-0.056",
-          "index=Goldsmith, Mr. Frank John<br>No_of_parents_plus_children_on_board=1<br>shap=0.176",
-          "index=Ohman, Miss. Velin<br>No_of_parents_plus_children_on_board=0<br>shap=0.128",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_parents_plus_children_on_board=1<br>shap=-1.206",
-          "index=Morrow, Mr. Thomas Rowan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.067",
-          "index=Harris, Mr. George<br>No_of_parents_plus_children_on_board=0<br>shap=-0.06",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_parents_plus_children_on_board=0<br>shap=0.273",
-          "index=Patchett, Mr. George<br>No_of_parents_plus_children_on_board=0<br>shap=-0.077",
-          "index=Ross, Mr. John Hugo<br>No_of_parents_plus_children_on_board=0<br>shap=-0.455",
-          "index=Murdlin, Mr. Joseph<br>No_of_parents_plus_children_on_board=0<br>shap=-0.077",
-          "index=Bourke, Miss. Mary<br>No_of_parents_plus_children_on_board=2<br>shap=-0.378",
-          "index=Boulos, Mr. Hanna<br>No_of_parents_plus_children_on_board=0<br>shap=-0.064",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.006",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.299",
-          "index=Lindell, Mr. Edvard Bengtsson<br>No_of_parents_plus_children_on_board=0<br>shap=-0.065",
-          "index=Daniel, Mr. Robert Williams<br>No_of_parents_plus_children_on_board=0<br>shap=-0.515",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_parents_plus_children_on_board=2<br>shap=-0.314",
-          "index=Shutes, Miss. Elizabeth W<br>No_of_parents_plus_children_on_board=0<br>shap=0.659",
-          "index=Jardin, Mr. Jose Neto<br>No_of_parents_plus_children_on_board=0<br>shap=-0.077",
-          "index=Horgan, Mr. John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.067",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_parents_plus_children_on_board=0<br>shap=0.105",
-          "index=Yasbeck, Mr. Antoni<br>No_of_parents_plus_children_on_board=0<br>shap=-0.053",
-          "index=Bostandyeff, Mr. Guentcho<br>No_of_parents_plus_children_on_board=0<br>shap=-0.079",
-          "index=Lundahl, Mr. Johan Svensson<br>No_of_parents_plus_children_on_board=0<br>shap=-0.067",
-          "index=Stahelin-Maeglin, Dr. Max<br>No_of_parents_plus_children_on_board=0<br>shap=-0.247",
-          "index=Willey, Mr. Edward<br>No_of_parents_plus_children_on_board=0<br>shap=-0.077",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>No_of_parents_plus_children_on_board=0<br>shap=0.128",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.116",
-          "index=Eitemiller, Mr. George Floyd<br>No_of_parents_plus_children_on_board=0<br>shap=-0.073",
-          "index=Colley, Mr. Edward Pomeroy<br>No_of_parents_plus_children_on_board=0<br>shap=-0.405",
-          "index=Coleff, Mr. Peju<br>No_of_parents_plus_children_on_board=0<br>shap=-0.084",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.233",
-          "index=Davidson, Mr. Thornton<br>No_of_parents_plus_children_on_board=0<br>shap=-0.39",
-          "index=Turja, Miss. Anna Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=0.128",
-          "index=Hassab, Mr. Hammad<br>No_of_parents_plus_children_on_board=0<br>shap=-0.258",
-          "index=Goodwin, Mr. Charles Edward<br>No_of_parents_plus_children_on_board=2<br>shap=0.156",
-          "index=Panula, Mr. Jaako Arnold<br>No_of_parents_plus_children_on_board=1<br>shap=0.128",
-          "index=Fischer, Mr. Eberhard Thelander<br>No_of_parents_plus_children_on_board=0<br>shap=-0.077",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_parents_plus_children_on_board=0<br>shap=-0.071",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_parents_plus_children_on_board=0<br>shap=0.46",
-          "index=Hansen, Mr. Henrik Juul<br>No_of_parents_plus_children_on_board=0<br>shap=-0.063",
-          "index=Calderhead, Mr. Edward Pennington<br>No_of_parents_plus_children_on_board=0<br>shap=-0.42",
-          "index=Klaber, Mr. Herman<br>No_of_parents_plus_children_on_board=0<br>shap=-0.434",
-          "index=Taylor, Mr. Elmer Zebley<br>No_of_parents_plus_children_on_board=0<br>shap=-0.18",
-          "index=Larsson, Mr. August Viktor<br>No_of_parents_plus_children_on_board=0<br>shap=-0.08",
-          "index=Greenberg, Mr. Samuel<br>No_of_parents_plus_children_on_board=0<br>shap=-0.063",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.119",
-          "index=McEvoy, Mr. Michael<br>No_of_parents_plus_children_on_board=0<br>shap=-0.067",
-          "index=Johnson, Mr. Malkolm Joackim<br>No_of_parents_plus_children_on_board=0<br>shap=-0.08",
-          "index=Gillespie, Mr. William Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.079",
-          "index=Allen, Miss. Elisabeth Walton<br>No_of_parents_plus_children_on_board=0<br>shap=0.804",
-          "index=Berriman, Mr. William John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.073",
-          "index=Troupiansky, Mr. Moses Aaron<br>No_of_parents_plus_children_on_board=0<br>shap=-0.073",
-          "index=Williams, Mr. Leslie<br>No_of_parents_plus_children_on_board=0<br>shap=-0.08",
-          "index=Ivanoff, Mr. Kanio<br>No_of_parents_plus_children_on_board=0<br>shap=-0.077",
-          "index=McNamee, Mr. Neal<br>No_of_parents_plus_children_on_board=0<br>shap=-0.061",
-          "index=Connaghton, Mr. Michael<br>No_of_parents_plus_children_on_board=0<br>shap=-0.07",
-          "index=Carlsson, Mr. August Sigfrid<br>No_of_parents_plus_children_on_board=0<br>shap=-0.08",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>No_of_parents_plus_children_on_board=0<br>shap=0.804",
-          "index=Eklund, Mr. Hans Linus<br>No_of_parents_plus_children_on_board=0<br>shap=-0.077",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>No_of_parents_plus_children_on_board=0<br>shap=0.421",
-          "index=Moran, Mr. Daniel J<br>No_of_parents_plus_children_on_board=0<br>shap=-0.053",
-          "index=Lievens, Mr. Rene Aime<br>No_of_parents_plus_children_on_board=0<br>shap=-0.077",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>No_of_parents_plus_children_on_board=1<br>shap=-2.115",
-          "index=Ayoub, Miss. Banoura<br>No_of_parents_plus_children_on_board=0<br>shap=0.106",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>No_of_parents_plus_children_on_board=0<br>shap=0.508",
-          "index=Johnston, Mr. Andrew G<br>No_of_parents_plus_children_on_board=2<br>shap=0.22",
-          "index=Ali, Mr. William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.078",
-          "index=Sjoblom, Miss. Anna Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=0.128",
-          "index=Guggenheim, Mr. Benjamin<br>No_of_parents_plus_children_on_board=0<br>shap=-0.437",
-          "index=Leader, Dr. Alice (Farnham)<br>No_of_parents_plus_children_on_board=0<br>shap=0.716",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.287",
-          "index=Carter, Master. William Thornton II<br>No_of_parents_plus_children_on_board=2<br>shap=0.597",
-          "index=Thomas, Master. Assad Alexander<br>No_of_parents_plus_children_on_board=1<br>shap=0.146",
-          "index=Johansson, Mr. Karl Johan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.08",
-          "index=Slemen, Mr. Richard James<br>No_of_parents_plus_children_on_board=0<br>shap=-0.08",
-          "index=Tomlin, Mr. Ernest Portage<br>No_of_parents_plus_children_on_board=0<br>shap=-0.08",
-          "index=McCormack, Mr. Thomas Joseph<br>No_of_parents_plus_children_on_board=0<br>shap=-0.054",
-          "index=Richards, Master. George Sibley<br>No_of_parents_plus_children_on_board=1<br>shap=0.16",
-          "index=Mudd, Mr. Thomas Charles<br>No_of_parents_plus_children_on_board=0<br>shap=-0.073",
-          "index=Lemberopolous, Mr. Peter L<br>No_of_parents_plus_children_on_board=0<br>shap=-0.072",
-          "index=Sage, Mr. Douglas Bullen<br>No_of_parents_plus_children_on_board=2<br>shap=0.155",
-          "index=Boulos, Miss. Nourelain<br>No_of_parents_plus_children_on_board=1<br>shap=-0.263",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.362",
-          "index=Razi, Mr. Raihed<br>No_of_parents_plus_children_on_board=0<br>shap=-0.064",
-          "index=Johnson, Master. Harold Theodor<br>No_of_parents_plus_children_on_board=1<br>shap=0.166",
-          "index=Carlsson, Mr. Frans Olof<br>No_of_parents_plus_children_on_board=0<br>shap=-0.626",
-          "index=Gustafsson, Mr. Alfred Ossian<br>No_of_parents_plus_children_on_board=0<br>shap=-0.077",
-          "index=Montvila, Rev. Juozas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.075"
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-          "index=Beavan, Mr. William Thomas<br>Survived=0<br>shap=-0.104",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Survived=1<br>shap=-0.077",
-          "index=Widener, Mr. Harry Elkins<br>Survived=0<br>shap=-0.199",
-          "index=Gustafsson, Mr. Karl Gideon<br>Survived=0<br>shap=-0.104",
-          "index=Plotcharsky, Mr. Vasil<br>Survived=0<br>shap=-0.104",
-          "index=Goodwin, Master. Sidney Leonard<br>Survived=0<br>shap=-0.056",
-          "index=Sadlier, Mr. Matthew<br>Survived=0<br>shap=-0.15",
-          "index=Gustafsson, Mr. Johan Birger<br>Survived=0<br>shap=-0.064",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Survived=1<br>shap=-0.06",
-          "index=Niskanen, Mr. Juha<br>Survived=1<br>shap=0.213",
-          "index=Minahan, Miss. Daisy E<br>Survived=1<br>shap=-0.056",
-          "index=Matthews, Mr. William John<br>Survived=0<br>shap=-0.086",
-          "index=Charters, Mr. David<br>Survived=0<br>shap=-0.15",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Survived=1<br>shap=-0.105",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Survived=1<br>shap=-0.051",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Survived=1<br>shap=0.213",
-          "index=Peuchen, Major. Arthur Godfrey<br>Survived=1<br>shap=0.101",
-          "index=Anderson, Mr. Harry<br>Survived=1<br>shap=0.101",
-          "index=Milling, Mr. Jacob Christian<br>Survived=0<br>shap=-0.087",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Survived=1<br>shap=-0.048",
-          "index=Karlsson, Mr. Nils August<br>Survived=0<br>shap=-0.104",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Survived=0<br>shap=-0.086",
-          "index=Bishop, Mr. Dickinson H<br>Survived=1<br>shap=1.399",
-          "index=Windelov, Mr. Einar<br>Survived=0<br>shap=-0.104",
-          "index=Shellard, Mr. Frederick William<br>Survived=0<br>shap=-0.104",
-          "index=Svensson, Mr. Olof<br>Survived=0<br>shap=-0.104",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Survived=0<br>shap=0.056",
-          "index=Laitinen, Miss. Kristina Sofia<br>Survived=0<br>shap=0.052",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Survived=0<br>shap=-0.652",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Survived=1<br>shap=0.097",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Survived=1<br>shap=-0.059",
-          "index=Kassem, Mr. Fared<br>Survived=0<br>shap=-0.156",
-          "index=Cacic, Miss. Marija<br>Survived=0<br>shap=0.051",
-          "index=Hart, Miss. Eva Miriam<br>Survived=1<br>shap=-0.047",
-          "index=Butt, Major. Archibald Willingham<br>Survived=0<br>shap=-1.254",
-          "index=Beane, Mr. Edward<br>Survived=1<br>shap=0.094",
-          "index=Goldsmith, Mr. Frank John<br>Survived=0<br>shap=-0.057",
-          "index=Ohman, Miss. Velin<br>Survived=1<br>shap=-0.151",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Survived=1<br>shap=-0.035",
-          "index=Morrow, Mr. Thomas Rowan<br>Survived=0<br>shap=-0.15",
-          "index=Harris, Mr. George<br>Survived=1<br>shap=0.158",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Survived=1<br>shap=-0.013",
-          "index=Patchett, Mr. George<br>Survived=0<br>shap=-0.104",
-          "index=Ross, Mr. John Hugo<br>Survived=0<br>shap=-0.662",
-          "index=Murdlin, Mr. Joseph<br>Survived=0<br>shap=-0.104",
-          "index=Bourke, Miss. Mary<br>Survived=0<br>shap=0.02",
-          "index=Boulos, Mr. Hanna<br>Survived=0<br>shap=-0.156",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Survived=1<br>shap=0.425",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Survived=1<br>shap=0.442",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Survived=0<br>shap=-0.081",
-          "index=Daniel, Mr. Robert Williams<br>Survived=1<br>shap=0.097",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Survived=1<br>shap=-0.051",
-          "index=Shutes, Miss. Elizabeth W<br>Survived=1<br>shap=-0.036",
-          "index=Jardin, Mr. Jose Neto<br>Survived=0<br>shap=-0.104",
-          "index=Horgan, Mr. John<br>Survived=0<br>shap=-0.15",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Survived=0<br>shap=0.034",
-          "index=Yasbeck, Mr. Antoni<br>Survived=0<br>shap=-0.133",
-          "index=Bostandyeff, Mr. Guentcho<br>Survived=0<br>shap=-0.104",
-          "index=Lundahl, Mr. Johan Svensson<br>Survived=0<br>shap=-0.104",
-          "index=Stahelin-Maeglin, Dr. Max<br>Survived=1<br>shap=1.416",
-          "index=Willey, Mr. Edward<br>Survived=0<br>shap=-0.104",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Survived=1<br>shap=-0.151",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Survived=0<br>shap=0.056",
-          "index=Eitemiller, Mr. George Floyd<br>Survived=0<br>shap=-0.086",
-          "index=Colley, Mr. Edward Pomeroy<br>Survived=0<br>shap=-0.07",
-          "index=Coleff, Mr. Peju<br>Survived=0<br>shap=-0.104",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Survived=1<br>shap=-0.051",
-          "index=Davidson, Mr. Thornton<br>Survived=0<br>shap=-1.184",
-          "index=Turja, Miss. Anna Sofia<br>Survived=1<br>shap=-0.151",
-          "index=Hassab, Mr. Hammad<br>Survived=1<br>shap=0.438",
-          "index=Goodwin, Mr. Charles Edward<br>Survived=0<br>shap=-0.056",
-          "index=Panula, Mr. Jaako Arnold<br>Survived=0<br>shap=-0.059",
-          "index=Fischer, Mr. Eberhard Thelander<br>Survived=0<br>shap=-0.104",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Survived=0<br>shap=-0.104",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Survived=1<br>shap=-0.077",
-          "index=Hansen, Mr. Henrik Juul<br>Survived=0<br>shap=-0.08",
-          "index=Calderhead, Mr. Edward Pennington<br>Survived=1<br>shap=0.101",
-          "index=Klaber, Mr. Herman<br>Survived=0<br>shap=-0.066",
-          "index=Taylor, Mr. Elmer Zebley<br>Survived=1<br>shap=0.084",
-          "index=Larsson, Mr. August Viktor<br>Survived=0<br>shap=-0.104",
-          "index=Greenberg, Mr. Samuel<br>Survived=0<br>shap=-0.087",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Survived=1<br>shap=-0.105",
-          "index=McEvoy, Mr. Michael<br>Survived=0<br>shap=-0.15",
-          "index=Johnson, Mr. Malkolm Joackim<br>Survived=0<br>shap=-0.104",
-          "index=Gillespie, Mr. William Henry<br>Survived=0<br>shap=-0.087",
-          "index=Allen, Miss. Elisabeth Walton<br>Survived=1<br>shap=-0.794",
-          "index=Berriman, Mr. William John<br>Survived=0<br>shap=-0.086",
-          "index=Troupiansky, Mr. Moses Aaron<br>Survived=0<br>shap=-0.086",
-          "index=Williams, Mr. Leslie<br>Survived=0<br>shap=-0.104",
-          "index=Ivanoff, Mr. Kanio<br>Survived=0<br>shap=-0.104",
-          "index=McNamee, Mr. Neal<br>Survived=0<br>shap=-0.08",
-          "index=Connaghton, Mr. Michael<br>Survived=0<br>shap=-0.15",
-          "index=Carlsson, Mr. August Sigfrid<br>Survived=0<br>shap=-0.104",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Survived=1<br>shap=-0.868",
-          "index=Eklund, Mr. Hans Linus<br>Survived=0<br>shap=-0.104",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Survived=1<br>shap=-0.023",
-          "index=Moran, Mr. Daniel J<br>Survived=0<br>shap=-0.127",
-          "index=Lievens, Mr. Rene Aime<br>Survived=0<br>shap=-0.104",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Survived=1<br>shap=-0.857",
-          "index=Ayoub, Miss. Banoura<br>Survived=1<br>shap=-0.157",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Survived=1<br>shap=-0.781",
-          "index=Johnston, Mr. Andrew G<br>Survived=0<br>shap=-0.054",
-          "index=Ali, Mr. William<br>Survived=0<br>shap=-0.104",
-          "index=Sjoblom, Miss. Anna Sofia<br>Survived=1<br>shap=-0.151",
-          "index=Guggenheim, Mr. Benjamin<br>Survived=0<br>shap=-1.847",
-          "index=Leader, Dr. Alice (Farnham)<br>Survived=1<br>shap=-0.036",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Survived=1<br>shap=-0.051",
-          "index=Carter, Master. William Thornton II<br>Survived=1<br>shap=0.715",
-          "index=Thomas, Master. Assad Alexander<br>Survived=1<br>shap=0.162",
-          "index=Johansson, Mr. Karl Johan<br>Survived=0<br>shap=-0.104",
-          "index=Slemen, Mr. Richard James<br>Survived=0<br>shap=-0.087",
-          "index=Tomlin, Mr. Ernest Portage<br>Survived=0<br>shap=-0.104",
-          "index=McCormack, Mr. Thomas Joseph<br>Survived=1<br>shap=0.239",
-          "index=Richards, Master. George Sibley<br>Survived=1<br>shap=0.08",
-          "index=Mudd, Mr. Thomas Charles<br>Survived=0<br>shap=-0.086",
-          "index=Lemberopolous, Mr. Peter L<br>Survived=0<br>shap=-0.157",
-          "index=Sage, Mr. Douglas Bullen<br>Survived=0<br>shap=-0.056",
-          "index=Boulos, Miss. Nourelain<br>Survived=0<br>shap=0.029",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Survived=1<br>shap=-0.107",
-          "index=Razi, Mr. Raihed<br>Survived=0<br>shap=-0.156",
-          "index=Johnson, Master. Harold Theodor<br>Survived=1<br>shap=0.096",
-          "index=Carlsson, Mr. Frans Olof<br>Survived=0<br>shap=-1.254",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Survived=0<br>shap=-0.104",
-          "index=Montvila, Rev. Juozas<br>Survived=0<br>shap=-0.086"
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+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>No_of_parents_plus_children_on_board=5<br>shap=-1.093",
+          "None=Glynn, Miss. Mary Agatha<br>No_of_parents_plus_children_on_board=0<br>shap=0.244",
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+          "None=Kink, Mr. Vincenz<br>No_of_parents_plus_children_on_board=0<br>shap=-0.143",
+          "None=Hood, Mr. Ambrose Jr<br>No_of_parents_plus_children_on_board=0<br>shap=-0.223",
+          "None=Ilett, Miss. Bertha<br>No_of_parents_plus_children_on_board=0<br>shap=0.290",
+          "None=Ford, Mr. William Neal<br>No_of_parents_plus_children_on_board=3<br>shap=0.659",
+          "None=Christmann, Mr. Emil<br>No_of_parents_plus_children_on_board=0<br>shap=-0.203",
+          "None=Andreasson, Mr. Paul Edvin<br>No_of_parents_plus_children_on_board=0<br>shap=-0.203",
+          "None=Chaffee, Mr. Herbert Fuller<br>No_of_parents_plus_children_on_board=0<br>shap=-0.546",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.201",
+          "None=White, Mr. Richard Frasar<br>No_of_parents_plus_children_on_board=1<br>shap=2.772",
+          "None=Rekic, Mr. Tido<br>No_of_parents_plus_children_on_board=0<br>shap=-0.201",
+          "None=Moran, Miss. Bertha<br>No_of_parents_plus_children_on_board=0<br>shap=0.225",
+          "None=Barton, Mr. David John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.203",
+          "None=Jussila, Miss. Katriina<br>No_of_parents_plus_children_on_board=0<br>shap=0.259",
+          "None=Pekoniemi, Mr. Edvard<br>No_of_parents_plus_children_on_board=0<br>shap=-0.203",
+          "None=Turpin, Mr. William John Robert<br>No_of_parents_plus_children_on_board=0<br>shap=-0.197",
+          "None=Moore, Mr. Leonard Charles<br>No_of_parents_plus_children_on_board=0<br>shap=-0.201",
+          "None=Osen, Mr. Olaf Elon<br>No_of_parents_plus_children_on_board=0<br>shap=-0.202",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>No_of_parents_plus_children_on_board=2<br>shap=-0.700",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>No_of_parents_plus_children_on_board=2<br>shap=0.843",
+          "None=Bateman, Rev. Robert James<br>No_of_parents_plus_children_on_board=0<br>shap=-0.208",
+          "None=Meo, Mr. Alfonzo<br>No_of_parents_plus_children_on_board=0<br>shap=-0.188",
+          "None=Cribb, Mr. John Hatfield<br>No_of_parents_plus_children_on_board=1<br>shap=0.531",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>No_of_parents_plus_children_on_board=1<br>shap=-3.619",
+          "None=Van der hoef, Mr. Wyckoff<br>No_of_parents_plus_children_on_board=0<br>shap=-1.205",
+          "None=Sivola, Mr. Antti Wilhelm<br>No_of_parents_plus_children_on_board=0<br>shap=-0.203",
+          "None=Klasen, Mr. Klas Albin<br>No_of_parents_plus_children_on_board=1<br>shap=0.519",
+          "None=Rood, Mr. Hugh Roscoe<br>No_of_parents_plus_children_on_board=0<br>shap=-0.960",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>No_of_parents_plus_children_on_board=0<br>shap=0.254",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>No_of_parents_plus_children_on_board=0<br>shap=0.910",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>No_of_parents_plus_children_on_board=0<br>shap=-0.203",
+          "None=Backstrom, Mr. Karl Alfred<br>No_of_parents_plus_children_on_board=0<br>shap=-0.176",
+          "None=Blank, Mr. Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.683",
+          "None=Ali, Mr. Ahmed<br>No_of_parents_plus_children_on_board=0<br>shap=-0.199",
+          "None=Green, Mr. George Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.188",
+          "None=Nenkoff, Mr. Christo<br>No_of_parents_plus_children_on_board=0<br>shap=-0.201",
+          "None=Asplund, Miss. Lillian Gertrud<br>No_of_parents_plus_children_on_board=2<br>shap=-0.682",
+          "None=Harknett, Miss. Alice Phoebe<br>No_of_parents_plus_children_on_board=0<br>shap=0.289",
+          "None=Hunt, Mr. George Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.232",
+          "None=Reed, Mr. James George<br>No_of_parents_plus_children_on_board=0<br>shap=-0.201",
+          "None=Stead, Mr. William Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.752",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>No_of_parents_plus_children_on_board=0<br>shap=1.187",
+          "None=Parrish, Mrs. (Lutie Davis)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.792",
+          "None=Smith, Mr. Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.191",
+          "None=Asplund, Master. Edvin Rojj Felix<br>No_of_parents_plus_children_on_board=2<br>shap=0.487",
+          "None=Healy, Miss. Hanora \"Nora\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.244",
+          "None=Andrews, Miss. Kornelia Theodosia<br>No_of_parents_plus_children_on_board=0<br>shap=0.748",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.745",
+          "None=Smith, Mr. Richard William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.960",
+          "None=Connolly, Miss. Kate<br>No_of_parents_plus_children_on_board=0<br>shap=0.246",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_parents_plus_children_on_board=0<br>shap=0.804",
+          "None=Levy, Mr. Rene Jacques<br>No_of_parents_plus_children_on_board=0<br>shap=-0.200",
+          "None=Lewy, Mr. Ervin G<br>No_of_parents_plus_children_on_board=0<br>shap=-0.936",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_parents_plus_children_on_board=0<br>shap=-0.201",
+          "None=Sage, Mr. George John Jr<br>No_of_parents_plus_children_on_board=2<br>shap=0.509",
+          "None=Nysveen, Mr. Johan Hansen<br>No_of_parents_plus_children_on_board=0<br>shap=-0.188",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_parents_plus_children_on_board=0<br>shap=1.340",
+          "None=Denkoff, Mr. Mitto<br>No_of_parents_plus_children_on_board=0<br>shap=-0.201",
+          "None=Burns, Miss. Elizabeth Margaret<br>No_of_parents_plus_children_on_board=0<br>shap=0.870",
+          "None=Dimic, Mr. Jovan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.192",
+          "None=del Carlo, Mr. Sebastiano<br>No_of_parents_plus_children_on_board=0<br>shap=-0.186",
+          "None=Beavan, Mr. William Thomas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.203",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_parents_plus_children_on_board=0<br>shap=1.017",
+          "None=Widener, Mr. Harry Elkins<br>No_of_parents_plus_children_on_board=2<br>shap=3.183",
+          "None=Gustafsson, Mr. Karl Gideon<br>No_of_parents_plus_children_on_board=0<br>shap=-0.203",
+          "None=Plotcharsky, Mr. Vasil<br>No_of_parents_plus_children_on_board=0<br>shap=-0.201",
+          "None=Goodwin, Master. Sidney Leonard<br>No_of_parents_plus_children_on_board=2<br>shap=0.510",
+          "None=Sadlier, Mr. Matthew<br>No_of_parents_plus_children_on_board=0<br>shap=-0.191",
+          "None=Gustafsson, Mr. Johan Birger<br>No_of_parents_plus_children_on_board=0<br>shap=-0.143",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_parents_plus_children_on_board=2<br>shap=-0.849",
+          "None=Niskanen, Mr. Juha<br>No_of_parents_plus_children_on_board=0<br>shap=-0.177",
+          "None=Minahan, Miss. Daisy E<br>No_of_parents_plus_children_on_board=0<br>shap=0.946",
+          "None=Matthews, Mr. William John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.224",
+          "None=Charters, Mr. David<br>No_of_parents_plus_children_on_board=0<br>shap=-0.193",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_parents_plus_children_on_board=0<br>shap=0.291",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.695",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>No_of_parents_plus_children_on_board=0<br>shap=-0.186",
+          "None=Peuchen, Major. Arthur Godfrey<br>No_of_parents_plus_children_on_board=0<br>shap=-0.736",
+          "None=Anderson, Mr. Harry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.702",
+          "None=Milling, Mr. Jacob Christian<br>No_of_parents_plus_children_on_board=0<br>shap=-0.210",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_parents_plus_children_on_board=2<br>shap=-0.932",
+          "None=Karlsson, Mr. Nils August<br>No_of_parents_plus_children_on_board=0<br>shap=-0.203",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_parents_plus_children_on_board=0<br>shap=-0.221",
+          "None=Bishop, Mr. Dickinson H<br>No_of_parents_plus_children_on_board=0<br>shap=-0.683",
+          "None=Windelov, Mr. Einar<br>No_of_parents_plus_children_on_board=0<br>shap=-0.203",
+          "None=Shellard, Mr. Frederick William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.201",
+          "None=Svensson, Mr. Olof<br>No_of_parents_plus_children_on_board=0<br>shap=-0.199",
+          "None=O'Sullivan, Miss. Bridget Mary<br>No_of_parents_plus_children_on_board=0<br>shap=0.254",
+          "None=Laitinen, Miss. Kristina Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=0.304",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>No_of_parents_plus_children_on_board=0<br>shap=-0.776",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_parents_plus_children_on_board=0<br>shap=-1.020",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_parents_plus_children_on_board=0<br>shap=0.280",
+          "None=Kassem, Mr. Fared<br>No_of_parents_plus_children_on_board=0<br>shap=-0.187",
+          "None=Cacic, Miss. Marija<br>No_of_parents_plus_children_on_board=0<br>shap=0.290",
+          "None=Hart, Miss. Eva Miriam<br>No_of_parents_plus_children_on_board=2<br>shap=-1.004",
+          "None=Butt, Major. Archibald Willingham<br>No_of_parents_plus_children_on_board=0<br>shap=-1.215",
+          "None=Beane, Mr. Edward<br>No_of_parents_plus_children_on_board=0<br>shap=-0.177",
+          "None=Goldsmith, Mr. Frank John<br>No_of_parents_plus_children_on_board=1<br>shap=0.542",
+          "None=Ohman, Miss. Velin<br>No_of_parents_plus_children_on_board=0<br>shap=0.281",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_parents_plus_children_on_board=1<br>shap=-2.383",
+          "None=Morrow, Mr. Thomas Rowan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.191",
+          "None=Harris, Mr. George<br>No_of_parents_plus_children_on_board=0<br>shap=-0.188",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_parents_plus_children_on_board=0<br>shap=0.347",
+          "None=Patchett, Mr. George<br>No_of_parents_plus_children_on_board=0<br>shap=-0.203",
+          "None=Ross, Mr. John Hugo<br>No_of_parents_plus_children_on_board=0<br>shap=-0.858",
+          "None=Murdlin, Mr. Joseph<br>No_of_parents_plus_children_on_board=0<br>shap=-0.201",
+          "None=Bourke, Miss. Mary<br>No_of_parents_plus_children_on_board=2<br>shap=-0.868",
+          "None=Boulos, Mr. Hanna<br>No_of_parents_plus_children_on_board=0<br>shap=-0.187",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_parents_plus_children_on_board=0<br>shap=-0.455",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_parents_plus_children_on_board=0<br>shap=-1.097",
+          "None=Lindell, Mr. Edvard Bengtsson<br>No_of_parents_plus_children_on_board=0<br>shap=-0.195",
+          "None=Daniel, Mr. Robert Williams<br>No_of_parents_plus_children_on_board=0<br>shap=-1.034",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_parents_plus_children_on_board=2<br>shap=-0.775",
+          "None=Shutes, Miss. Elizabeth W<br>No_of_parents_plus_children_on_board=0<br>shap=1.253",
+          "None=Jardin, Mr. Jose Neto<br>No_of_parents_plus_children_on_board=0<br>shap=-0.201",
+          "None=Horgan, Mr. John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.191",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_parents_plus_children_on_board=0<br>shap=0.257",
+          "None=Yasbeck, Mr. Antoni<br>No_of_parents_plus_children_on_board=0<br>shap=-0.173",
+          "None=Bostandyeff, Mr. Guentcho<br>No_of_parents_plus_children_on_board=0<br>shap=-0.203",
+          "None=Lundahl, Mr. Johan Svensson<br>No_of_parents_plus_children_on_board=0<br>shap=-0.188",
+          "None=Stahelin-Maeglin, Dr. Max<br>No_of_parents_plus_children_on_board=0<br>shap=-0.964",
+          "None=Willey, Mr. Edward<br>No_of_parents_plus_children_on_board=0<br>shap=-0.201",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>No_of_parents_plus_children_on_board=0<br>shap=0.281",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.255",
+          "None=Eitemiller, Mr. George Floyd<br>No_of_parents_plus_children_on_board=0<br>shap=-0.223",
+          "None=Colley, Mr. Edward Pomeroy<br>No_of_parents_plus_children_on_board=0<br>shap=-0.713",
+          "None=Coleff, Mr. Peju<br>No_of_parents_plus_children_on_board=0<br>shap=-0.215",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.727",
+          "None=Davidson, Mr. Thornton<br>No_of_parents_plus_children_on_board=0<br>shap=-1.129",
+          "None=Turja, Miss. Anna Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=0.280",
+          "None=Hassab, Mr. Hammad<br>No_of_parents_plus_children_on_board=0<br>shap=-0.876",
+          "None=Goodwin, Mr. Charles Edward<br>No_of_parents_plus_children_on_board=2<br>shap=0.510",
+          "None=Panula, Mr. Jaako Arnold<br>No_of_parents_plus_children_on_board=1<br>shap=0.396",
+          "None=Fischer, Mr. Eberhard Thelander<br>No_of_parents_plus_children_on_board=0<br>shap=-0.202",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_parents_plus_children_on_board=0<br>shap=-0.164",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_parents_plus_children_on_board=0<br>shap=0.907",
+          "None=Hansen, Mr. Henrik Juul<br>No_of_parents_plus_children_on_board=0<br>shap=-0.184",
+          "None=Calderhead, Mr. Edward Pennington<br>No_of_parents_plus_children_on_board=0<br>shap=-0.713",
+          "None=Klaber, Mr. Herman<br>No_of_parents_plus_children_on_board=0<br>shap=-0.979",
+          "None=Taylor, Mr. Elmer Zebley<br>No_of_parents_plus_children_on_board=0<br>shap=-0.573",
+          "None=Larsson, Mr. August Viktor<br>No_of_parents_plus_children_on_board=0<br>shap=-0.203",
+          "None=Greenberg, Mr. Samuel<br>No_of_parents_plus_children_on_board=0<br>shap=-0.208",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_parents_plus_children_on_board=0<br>shap=0.257",
+          "None=McEvoy, Mr. Michael<br>No_of_parents_plus_children_on_board=0<br>shap=-0.191",
+          "None=Johnson, Mr. Malkolm Joackim<br>No_of_parents_plus_children_on_board=0<br>shap=-0.212",
+          "None=Gillespie, Mr. William Henry<br>No_of_parents_plus_children_on_board=0<br>shap=-0.234",
+          "None=Allen, Miss. Elisabeth Walton<br>No_of_parents_plus_children_on_board=0<br>shap=1.788",
+          "None=Berriman, Mr. William John<br>No_of_parents_plus_children_on_board=0<br>shap=-0.223",
+          "None=Troupiansky, Mr. Moses Aaron<br>No_of_parents_plus_children_on_board=0<br>shap=-0.223",
+          "None=Williams, Mr. Leslie<br>No_of_parents_plus_children_on_board=0<br>shap=-0.203",
+          "None=Ivanoff, Mr. Kanio<br>No_of_parents_plus_children_on_board=0<br>shap=-0.201",
+          "None=McNamee, Mr. Neal<br>No_of_parents_plus_children_on_board=0<br>shap=-0.180",
+          "None=Connaghton, Mr. Michael<br>No_of_parents_plus_children_on_board=0<br>shap=-0.187",
+          "None=Carlsson, Mr. August Sigfrid<br>No_of_parents_plus_children_on_board=0<br>shap=-0.203",
+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>No_of_parents_plus_children_on_board=0<br>shap=1.754",
+          "None=Eklund, Mr. Hans Linus<br>No_of_parents_plus_children_on_board=0<br>shap=-0.202",
+          "None=Hogeboom, Mrs. John C (Anna Andrews)<br>No_of_parents_plus_children_on_board=0<br>shap=0.748",
+          "None=Moran, Mr. Daniel J<br>No_of_parents_plus_children_on_board=0<br>shap=-0.175",
+          "None=Lievens, Mr. Rene Aime<br>No_of_parents_plus_children_on_board=0<br>shap=-0.199",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>No_of_parents_plus_children_on_board=1<br>shap=-4.048",
+          "None=Ayoub, Miss. Banoura<br>No_of_parents_plus_children_on_board=0<br>shap=0.237",
+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>No_of_parents_plus_children_on_board=0<br>shap=1.334",
+          "None=Johnston, Mr. Andrew G<br>No_of_parents_plus_children_on_board=2<br>shap=0.649",
+          "None=Ali, Mr. William<br>No_of_parents_plus_children_on_board=0<br>shap=-0.200",
+          "None=Sjoblom, Miss. Anna Sofia<br>No_of_parents_plus_children_on_board=0<br>shap=0.280",
+          "None=Guggenheim, Mr. Benjamin<br>No_of_parents_plus_children_on_board=0<br>shap=-0.887",
+          "None=Leader, Dr. Alice (Farnham)<br>No_of_parents_plus_children_on_board=0<br>shap=1.096",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.708",
+          "None=Carter, Master. William Thornton II<br>No_of_parents_plus_children_on_board=2<br>shap=3.297",
+          "None=Thomas, Master. Assad Alexander<br>No_of_parents_plus_children_on_board=1<br>shap=0.482",
+          "None=Johansson, Mr. Karl Johan<br>No_of_parents_plus_children_on_board=0<br>shap=-0.197",
+          "None=Slemen, Mr. Richard James<br>No_of_parents_plus_children_on_board=0<br>shap=-0.235",
+          "None=Tomlin, Mr. Ernest Portage<br>No_of_parents_plus_children_on_board=0<br>shap=-0.204",
+          "None=McCormack, Mr. Thomas Joseph<br>No_of_parents_plus_children_on_board=0<br>shap=-0.176",
+          "None=Richards, Master. George Sibley<br>No_of_parents_plus_children_on_board=1<br>shap=0.548",
+          "None=Mudd, Mr. Thomas Charles<br>No_of_parents_plus_children_on_board=0<br>shap=-0.222",
+          "None=Lemberopolous, Mr. Peter L<br>No_of_parents_plus_children_on_board=0<br>shap=-0.201",
+          "None=Sage, Mr. Douglas Bullen<br>No_of_parents_plus_children_on_board=2<br>shap=0.509",
+          "None=Boulos, Miss. Nourelain<br>No_of_parents_plus_children_on_board=1<br>shap=-0.626",
+          "None=Aks, Mrs. Sam (Leah Rosen)<br>No_of_parents_plus_children_on_board=1<br>shap=-0.758",
+          "None=Razi, Mr. Raihed<br>No_of_parents_plus_children_on_board=0<br>shap=-0.187",
+          "None=Johnson, Master. Harold Theodor<br>No_of_parents_plus_children_on_board=1<br>shap=0.488",
+          "None=Carlsson, Mr. Frans Olof<br>No_of_parents_plus_children_on_board=0<br>shap=-1.468",
+          "None=Gustafsson, Mr. Alfred Ossian<br>No_of_parents_plus_children_on_board=0<br>shap=-0.203",
+          "None=Montvila, Rev. Juozas<br>No_of_parents_plus_children_on_board=0<br>shap=-0.223"
+         ],
+         "type": "scattergl",
+         "x": [
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-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.481",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.746",
-          "index=Palsson, Master. Gosta Leonard<br>No_of_siblings_plus_spouses_on_board=3<br>shap=-0.037",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.01",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.076",
-          "index=Saundercock, Mr. William Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.035",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.089",
-          "index=Glynn, Miss. Mary Agatha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.029",
-          "index=Meyer, Mr. Edgar Joseph<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.214",
-          "index=Kraeff, Mr. Theodor<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.012",
-          "index=Devaney, Miss. Margaret Delia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.029",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.1",
-          "index=Rugg, Miss. Emily<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.036",
-          "index=Harris, Mr. Henry Birkhardt<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.426",
-          "index=Skoog, Master. Harald<br>No_of_siblings_plus_spouses_on_board=3<br>shap=-0.041",
-          "index=Kink, Mr. Vincenz<br>No_of_siblings_plus_spouses_on_board=2<br>shap=-0.008",
-          "index=Hood, Mr. Ambrose Jr<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.017",
-          "index=Ilett, Miss. Bertha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.036",
-          "index=Ford, Mr. William Neal<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.022",
-          "index=Christmann, Mr. Emil<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Andreasson, Mr. Paul Edvin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Chaffee, Mr. Herbert Fuller<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.462",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=White, Mr. Richard Frasar<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.05",
-          "index=Rekic, Mr. Tido<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.043",
-          "index=Moran, Miss. Bertha<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.079",
-          "index=Barton, Mr. David John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Jussila, Miss. Katriina<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.1",
-          "index=Pekoniemi, Mr. Edvard<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Turpin, Mr. William John Robert<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.053",
-          "index=Moore, Mr. Leonard Charles<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Osen, Mr. Olaf Elon<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>No_of_siblings_plus_spouses_on_board=2<br>shap=0.005",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.0",
-          "index=Bateman, Rev. Robert James<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.045",
-          "index=Meo, Mr. Alfonzo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.044",
-          "index=Cribb, Mr. John Hatfield<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.022",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.011",
-          "index=Van der hoef, Mr. Wyckoff<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.146",
-          "index=Sivola, Mr. Antti Wilhelm<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Klasen, Mr. Klas Albin<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.021",
-          "index=Rood, Mr. Hugh Roscoe<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.062",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.1",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.215",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Backstrom, Mr. Karl Alfred<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.048",
-          "index=Blank, Mr. Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.135",
-          "index=Ali, Mr. Ahmed<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Green, Mr. George Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.044",
-          "index=Nenkoff, Mr. Christo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Asplund, Miss. Lillian Gertrud<br>No_of_siblings_plus_spouses_on_board=4<br>shap=0.009",
-          "index=Harknett, Miss. Alice Phoebe<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.035",
-          "index=Hunt, Mr. George Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.035",
-          "index=Reed, Mr. James George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Stead, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.184",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.129",
-          "index=Parrish, Mrs. (Lutie Davis)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.045",
-          "index=Smith, Mr. Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.013",
-          "index=Asplund, Master. Edvin Rojj Felix<br>No_of_siblings_plus_spouses_on_board=4<br>shap=-0.041",
-          "index=Healy, Miss. Hanora \"Nora\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.029",
-          "index=Andrews, Miss. Kornelia Theodosia<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.838",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.094",
-          "index=Smith, Mr. Richard William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.062",
-          "index=Connolly, Miss. Kate<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.029",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.291",
-          "index=Levy, Mr. Rene Jacques<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.018",
-          "index=Lewy, Mr. Ervin G<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.076",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Sage, Mr. George John Jr<br>No_of_siblings_plus_spouses_on_board=8<br>shap=-0.041",
-          "index=Nysveen, Mr. Johan Hansen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.044",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.586",
-          "index=Denkoff, Mr. Mitto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Burns, Miss. Elizabeth Margaret<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.232",
-          "index=Dimic, Mr. Jovan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.043",
-          "index=del Carlo, Mr. Sebastiano<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.042",
-          "index=Beavan, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.32",
-          "index=Widener, Mr. Harry Elkins<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.073",
-          "index=Gustafsson, Mr. Karl Gideon<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Plotcharsky, Mr. Vasil<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Goodwin, Master. Sidney Leonard<br>No_of_siblings_plus_spouses_on_board=5<br>shap=-0.041",
-          "index=Sadlier, Mr. Matthew<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.013",
-          "index=Gustafsson, Mr. Johan Birger<br>No_of_siblings_plus_spouses_on_board=2<br>shap=-0.005",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.006",
-          "index=Niskanen, Mr. Juha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.043",
-          "index=Minahan, Miss. Daisy E<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.362",
-          "index=Matthews, Mr. William John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.018",
-          "index=Charters, Mr. David<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.013",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.036",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.097",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Peuchen, Major. Arthur Godfrey<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.183",
-          "index=Anderson, Mr. Harry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.187",
-          "index=Milling, Mr. Jacob Christian<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.045",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.087",
-          "index=Karlsson, Mr. Nils August<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.017",
-          "index=Bishop, Mr. Dickinson H<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.157",
-          "index=Windelov, Mr. Einar<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Shellard, Mr. Frederick William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Svensson, Mr. Olof<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=O'Sullivan, Miss. Bridget Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.029",
-          "index=Laitinen, Miss. Kristina Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.072",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.118",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.116",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.15",
-          "index=Kassem, Mr. Fared<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.012",
-          "index=Cacic, Miss. Marija<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.036",
-          "index=Hart, Miss. Eva Miriam<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.01",
-          "index=Butt, Major. Archibald Willingham<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.139",
-          "index=Beane, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.053",
-          "index=Goldsmith, Mr. Frank John<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.042",
-          "index=Ohman, Miss. Velin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.035",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.292",
-          "index=Morrow, Mr. Thomas Rowan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.013",
-          "index=Harris, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.045",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_siblings_plus_spouses_on_board=2<br>shap=-0.366",
-          "index=Patchett, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Ross, Mr. John Hugo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.135",
-          "index=Murdlin, Mr. Joseph<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Bourke, Miss. Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.007",
-          "index=Boulos, Mr. Hanna<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.012",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.353",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.392",
-          "index=Lindell, Mr. Edvard Bengtsson<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.08",
-          "index=Daniel, Mr. Robert Williams<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.125",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.046",
-          "index=Shutes, Miss. Elizabeth W<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.314",
-          "index=Jardin, Mr. Jose Neto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Horgan, Mr. John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.013",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.1",
-          "index=Yasbeck, Mr. Antoni<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.037",
-          "index=Bostandyeff, Mr. Guentcho<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Lundahl, Mr. Johan Svensson<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.044",
-          "index=Stahelin-Maeglin, Dr. Max<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.015",
-          "index=Willey, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.035",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.029",
-          "index=Eitemiller, Mr. George Floyd<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.017",
-          "index=Colley, Mr. Edward Pomeroy<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.187",
-          "index=Coleff, Mr. Peju<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.043",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.095",
-          "index=Davidson, Mr. Thornton<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.29",
-          "index=Turja, Miss. Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.035",
-          "index=Hassab, Mr. Hammad<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.032",
-          "index=Goodwin, Mr. Charles Edward<br>No_of_siblings_plus_spouses_on_board=5<br>shap=-0.041",
-          "index=Panula, Mr. Jaako Arnold<br>No_of_siblings_plus_spouses_on_board=4<br>shap=-0.041",
-          "index=Fischer, Mr. Eberhard Thelander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.021",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.232",
-          "index=Hansen, Mr. Henrik Juul<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.045",
-          "index=Calderhead, Mr. Edward Pennington<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.174",
-          "index=Klaber, Mr. Herman<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.058",
-          "index=Taylor, Mr. Elmer Zebley<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.426",
-          "index=Larsson, Mr. August Viktor<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Greenberg, Mr. Samuel<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.045",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.028",
-          "index=McEvoy, Mr. Michael<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.013",
-          "index=Johnson, Mr. Malkolm Joackim<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.034",
-          "index=Gillespie, Mr. William Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.044",
-          "index=Allen, Miss. Elisabeth Walton<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.127",
-          "index=Berriman, Mr. William John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.017",
-          "index=Troupiansky, Mr. Moses Aaron<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.017",
-          "index=Williams, Mr. Leslie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Ivanoff, Mr. Kanio<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=McNamee, Mr. Neal<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.045",
-          "index=Connaghton, Mr. Michael<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.014",
-          "index=Carlsson, Mr. August Sigfrid<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.15",
-          "index=Eklund, Mr. Hans Linus<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.838",
-          "index=Moran, Mr. Daniel J<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.038",
-          "index=Lievens, Mr. Rene Aime<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.081",
-          "index=Ayoub, Miss. Banoura<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.026",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.556",
-          "index=Johnston, Mr. Andrew G<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.021",
-          "index=Ali, Mr. William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Sjoblom, Miss. Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.035",
-          "index=Guggenheim, Mr. Benjamin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.1",
-          "index=Leader, Dr. Alice (Farnham)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.336",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.062",
-          "index=Carter, Master. William Thornton II<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.111",
-          "index=Thomas, Master. Assad Alexander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.003",
-          "index=Johansson, Mr. Karl Johan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Slemen, Mr. Richard James<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.044",
-          "index=Tomlin, Mr. Ernest Portage<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=McCormack, Mr. Thomas Joseph<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.013",
-          "index=Richards, Master. George Sibley<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.023",
-          "index=Mudd, Mr. Thomas Charles<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.017",
-          "index=Lemberopolous, Mr. Peter L<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.039",
-          "index=Sage, Mr. Douglas Bullen<br>No_of_siblings_plus_spouses_on_board=8<br>shap=-0.041",
-          "index=Boulos, Miss. Nourelain<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.045",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.016",
-          "index=Razi, Mr. Raihed<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.012",
-          "index=Johnson, Master. Harold Theodor<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.021",
-          "index=Carlsson, Mr. Frans Olof<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.043",
-          "index=Gustafsson, Mr. Alfred Ossian<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.016",
-          "index=Montvila, Rev. Juozas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.018"
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-         "type": "scatter",
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+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-1.137",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-1.640",
+          "None=Palsson, Master. Gosta Leonard<br>No_of_siblings_plus_spouses_on_board=3<br>shap=0.227",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.117",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.260",
+          "None=Saundercock, Mr. William Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.083",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.159",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.237",
+          "None=Glynn, Miss. Mary Agatha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.135",
+          "None=Meyer, Mr. Edgar Joseph<br>No_of_siblings_plus_spouses_on_board=1<br>shap=1.014",
+          "None=Kraeff, Mr. Theodor<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.077",
+          "None=Devaney, Miss. Margaret Delia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.134",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.346",
+          "None=Rugg, Miss. Emily<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.196",
+          "None=Harris, Mr. Henry Birkhardt<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.891",
+          "None=Skoog, Master. Harald<br>No_of_siblings_plus_spouses_on_board=3<br>shap=0.161",
+          "None=Kink, Mr. Vincenz<br>No_of_siblings_plus_spouses_on_board=2<br>shap=0.572",
+          "None=Hood, Mr. Ambrose Jr<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.121",
+          "None=Ilett, Miss. Bertha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.196",
+          "None=Ford, Mr. William Neal<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.084",
+          "None=Christmann, Mr. Emil<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.096",
+          "None=Andreasson, Mr. Paul Edvin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.083",
+          "None=Chaffee, Mr. Herbert Fuller<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.868",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.084",
+          "None=White, Mr. Richard Frasar<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.068",
+          "None=Rekic, Mr. Tido<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.097",
+          "None=Moran, Miss. Bertha<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.279",
+          "None=Barton, Mr. David John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.083",
+          "None=Jussila, Miss. Katriina<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.346",
+          "None=Pekoniemi, Mr. Edvard<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.083",
+          "None=Turpin, Mr. William John Robert<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.158",
+          "None=Moore, Mr. Leonard Charles<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.084",
+          "None=Osen, Mr. Olaf Elon<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.084",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>No_of_siblings_plus_spouses_on_board=2<br>shap=-0.507",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.033",
+          "None=Bateman, Rev. Robert James<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.140",
+          "None=Meo, Mr. Alfonzo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.102",
+          "None=Cribb, Mr. John Hatfield<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.075",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.270",
+          "None=Van der hoef, Mr. Wyckoff<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.112",
+          "None=Sivola, Mr. Antti Wilhelm<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.083",
+          "None=Klasen, Mr. Klas Albin<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.134",
+          "None=Rood, Mr. Hugh Roscoe<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.306",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.325",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.012",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.096",
+          "None=Backstrom, Mr. Karl Alfred<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.168",
+          "None=Blank, Mr. Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.219",
+          "None=Ali, Mr. Ahmed<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.093",
+          "None=Green, Mr. George Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.102",
+          "None=Nenkoff, Mr. Christo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.084",
+          "None=Asplund, Miss. Lillian Gertrud<br>No_of_siblings_plus_spouses_on_board=4<br>shap=-0.430",
+          "None=Harknett, Miss. Alice Phoebe<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.160",
+          "None=Hunt, Mr. George Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.134",
+          "None=Reed, Mr. James George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.084",
+          "None=Stead, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.386",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.819",
+          "None=Parrish, Mrs. (Lutie Davis)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.169",
+          "None=Smith, Mr. Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.078",
+          "None=Asplund, Master. Edvin Rojj Felix<br>No_of_siblings_plus_spouses_on_board=4<br>shap=0.129",
+          "None=Healy, Miss. Hanora \"Nora\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.135",
+          "None=Andrews, Miss. Kornelia Theodosia<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-1.817",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.252",
+          "None=Smith, Mr. Richard William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.306",
+          "None=Connolly, Miss. Kate<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.134",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.705",
+          "None=Levy, Mr. Rene Jacques<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.097",
+          "None=Lewy, Mr. Ervin G<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.492",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.084",
+          "None=Sage, Mr. George John Jr<br>No_of_siblings_plus_spouses_on_board=8<br>shap=0.028",
+          "None=Nysveen, Mr. Johan Hansen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.102",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-2.203",
+          "None=Denkoff, Mr. Mitto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.084",
+          "None=Burns, Miss. Elizabeth Margaret<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.443",
+          "None=Dimic, Mr. Jovan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.098",
+          "None=del Carlo, Mr. Sebastiano<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.139",
+          "None=Beavan, Mr. William Thomas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.083",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-1.674",
+          "None=Widener, Mr. Harry Elkins<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.048",
+          "None=Gustafsson, Mr. Karl Gideon<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.083",
+          "None=Plotcharsky, Mr. Vasil<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.084",
+          "None=Goodwin, Master. Sidney Leonard<br>No_of_siblings_plus_spouses_on_board=5<br>shap=-0.005",
+          "None=Sadlier, Mr. Matthew<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.078",
+          "None=Gustafsson, Mr. Johan Birger<br>No_of_siblings_plus_spouses_on_board=2<br>shap=0.572",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.075",
+          "None=Niskanen, Mr. Juha<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.081",
+          "None=Minahan, Miss. Daisy E<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-1.183",
+          "None=Matthews, Mr. William John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.134",
+          "None=Charters, Mr. David<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.077",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.196",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.230",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.068",
+          "None=Peuchen, Major. Arthur Godfrey<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.352",
+          "None=Anderson, Mr. Harry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.321",
+          "None=Milling, Mr. Jacob Christian<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.138",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.204",
+          "None=Karlsson, Mr. Nils August<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.083",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.123",
+          "None=Bishop, Mr. Dickinson H<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.178",
+          "None=Windelov, Mr. Einar<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.083",
+          "None=Shellard, Mr. Frederick William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.084",
+          "None=Svensson, Mr. Olof<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.093",
+          "None=O'Sullivan, Miss. Bridget Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.144",
+          "None=Laitinen, Miss. Kristina Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.171",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.648",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.517",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.307",
+          "None=Kassem, Mr. Fared<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.077",
+          "None=Cacic, Miss. Marija<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.170",
+          "None=Hart, Miss. Eva Miriam<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.143",
+          "None=Butt, Major. Archibald Willingham<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.089",
+          "None=Beane, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.123",
+          "None=Goldsmith, Mr. Frank John<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.124",
+          "None=Ohman, Miss. Velin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.150",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.822",
+          "None=Morrow, Mr. Thomas Rowan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.078",
+          "None=Harris, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.124",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>No_of_siblings_plus_spouses_on_board=2<br>shap=-4.073",
+          "None=Patchett, Mr. George<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.083",
+          "None=Ross, Mr. John Hugo<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.244",
+          "None=Murdlin, Mr. Joseph<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.084",
+          "None=Bourke, Miss. Mary<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.106",
+          "None=Boulos, Mr. Hanna<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.077",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.704",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.481",
+          "None=Lindell, Mr. Edvard Bengtsson<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.168",
+          "None=Daniel, Mr. Robert Williams<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.530",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.185",
+          "None=Shutes, Miss. Elizabeth W<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.633",
+          "None=Jardin, Mr. Jose Neto<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.084",
+          "None=Horgan, Mr. John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.078",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.340",
+          "None=Yasbeck, Mr. Antoni<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.148",
+          "None=Bostandyeff, Mr. Guentcho<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.096",
+          "None=Lundahl, Mr. Johan Svensson<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.102",
+          "None=Stahelin-Maeglin, Dr. Max<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.554",
+          "None=Willey, Mr. Edward<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.084",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.150",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.143",
+          "None=Eitemiller, Mr. George Floyd<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.121",
+          "None=Colley, Mr. Edward Pomeroy<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.350",
+          "None=Coleff, Mr. Peju<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.096",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.225",
+          "None=Davidson, Mr. Thornton<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.627",
+          "None=Turja, Miss. Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.150",
+          "None=Hassab, Mr. Hammad<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.192",
+          "None=Goodwin, Mr. Charles Edward<br>No_of_siblings_plus_spouses_on_board=5<br>shap=-0.014",
+          "None=Panula, Mr. Jaako Arnold<br>No_of_siblings_plus_spouses_on_board=4<br>shap=0.218",
+          "None=Fischer, Mr. Eberhard Thelander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.083",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.068",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-1.114",
+          "None=Hansen, Mr. Henrik Juul<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.167",
+          "None=Calderhead, Mr. Edward Pennington<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.298",
+          "None=Klaber, Mr. Herman<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.318",
+          "None=Taylor, Mr. Elmer Zebley<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.863",
+          "None=Larsson, Mr. August Viktor<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.096",
+          "None=Greenberg, Mr. Samuel<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.140",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.166",
+          "None=McEvoy, Mr. Michael<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.078",
+          "None=Johnson, Mr. Malkolm Joackim<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.096",
+          "None=Gillespie, Mr. William Henry<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.134",
+          "None=Allen, Miss. Elisabeth Walton<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.240",
+          "None=Berriman, Mr. William John<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.121",
+          "None=Troupiansky, Mr. Moses Aaron<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.121",
+          "None=Williams, Mr. Leslie<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.096",
+          "None=Ivanoff, Mr. Kanio<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.084",
+          "None=McNamee, Mr. Neal<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.167",
+          "None=Connaghton, Mr. Michael<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.089",
+          "None=Carlsson, Mr. August Sigfrid<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.096",
+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.247",
+          "None=Eklund, Mr. Hans Linus<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.084",
+          "None=Hogeboom, Mrs. John C (Anna Andrews)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-1.817",
+          "None=Moran, Mr. Daniel J<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.160",
+          "None=Lievens, Mr. Rene Aime<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.093",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.246",
+          "None=Ayoub, Miss. Banoura<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.134",
+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-1.129",
+          "None=Johnston, Mr. Andrew G<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.083",
+          "None=Ali, Mr. William<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.095",
+          "None=Sjoblom, Miss. Anna Sofia<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.150",
+          "None=Guggenheim, Mr. Benjamin<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.167",
+          "None=Leader, Dr. Alice (Farnham)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.658",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.228",
+          "None=Carter, Master. William Thornton II<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.627",
+          "None=Thomas, Master. Assad Alexander<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.047",
+          "None=Johansson, Mr. Karl Johan<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.096",
+          "None=Slemen, Mr. Richard James<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.134",
+          "None=Tomlin, Mr. Ernest Portage<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.096",
+          "None=McCormack, Mr. Thomas Joseph<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.062",
+          "None=Richards, Master. George Sibley<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.077",
+          "None=Mudd, Mr. Thomas Charles<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.122",
+          "None=Lemberopolous, Mr. Peter L<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.089",
+          "None=Sage, Mr. Douglas Bullen<br>No_of_siblings_plus_spouses_on_board=8<br>shap=0.028",
+          "None=Boulos, Miss. Nourelain<br>No_of_siblings_plus_spouses_on_board=1<br>shap=-0.238",
+          "None=Aks, Mrs. Sam (Leah Rosen)<br>No_of_siblings_plus_spouses_on_board=0<br>shap=0.118",
+          "None=Razi, Mr. Raihed<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.077",
+          "None=Johnson, Master. Harold Theodor<br>No_of_siblings_plus_spouses_on_board=1<br>shap=0.121",
+          "None=Carlsson, Mr. Frans Olof<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.064",
+          "None=Gustafsson, Mr. Alfred Ossian<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.083",
+          "None=Montvila, Rev. Juozas<br>No_of_siblings_plus_spouses_on_board=0<br>shap=-0.134"
+         ],
+         "type": "scattergl",
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-    "## Contributions"
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+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>Embarked=Embarked_Southampton<br>shap=0.103",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Embarked=Embarked_Southampton<br>shap=0.001",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Embarked=Embarked_Southampton<br>shap=0.075",
+          "None=Rugg, Miss. Emily<br>Embarked=Embarked_Southampton<br>shap=0.096",
+          "None=Harris, Mr. Henry Birkhardt<br>Embarked=Embarked_Southampton<br>shap=0.079",
+          "None=Skoog, Master. Harald<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Kink, Mr. Vincenz<br>Embarked=Embarked_Southampton<br>shap=-0.002",
+          "None=Hood, Mr. Ambrose Jr<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Ilett, Miss. Bertha<br>Embarked=Embarked_Southampton<br>shap=0.099",
+          "None=Ford, Mr. William Neal<br>Embarked=Embarked_Southampton<br>shap=0.017",
+          "None=Christmann, Mr. Emil<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Andreasson, Mr. Paul Edvin<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Chaffee, Mr. Herbert Fuller<br>Embarked=Embarked_Southampton<br>shap=0.016",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=White, Mr. Richard Frasar<br>Embarked=Embarked_Southampton<br>shap=-0.067",
+          "None=Rekic, Mr. Tido<br>Embarked=Embarked_Southampton<br>shap=-0.002",
+          "None=Barton, Mr. David John<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Jussila, Miss. Katriina<br>Embarked=Embarked_Southampton<br>shap=0.075",
+          "None=Pekoniemi, Mr. Edvard<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Turpin, Mr. William John Robert<br>Embarked=Embarked_Southampton<br>shap=0.000",
+          "None=Moore, Mr. Leonard Charles<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Osen, Mr. Olaf Elon<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Embarked=Embarked_Southampton<br>shap=0.023",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Embarked=Embarked_Southampton<br>shap=-0.015",
+          "None=Bateman, Rev. Robert James<br>Embarked=Embarked_Southampton<br>shap=0.019",
+          "None=Meo, Mr. Alfonzo<br>Embarked=Embarked_Southampton<br>shap=0.020",
+          "None=Cribb, Mr. John Hatfield<br>Embarked=Embarked_Southampton<br>shap=0.020",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Embarked=Embarked_Southampton<br>shap=0.382",
+          "None=Van der hoef, Mr. Wyckoff<br>Embarked=Embarked_Southampton<br>shap=-0.694",
+          "None=Sivola, Mr. Antti Wilhelm<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Klasen, Mr. Klas Albin<br>Embarked=Embarked_Southampton<br>shap=0.012",
+          "None=Rood, Mr. Hugh Roscoe<br>Embarked=Embarked_Southampton<br>shap=-0.297",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Embarked=Embarked_Southampton<br>shap=0.072",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Backstrom, Mr. Karl Alfred<br>Embarked=Embarked_Southampton<br>shap=0.000",
+          "None=Ali, Mr. Ahmed<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Green, Mr. George Henry<br>Embarked=Embarked_Southampton<br>shap=0.019",
+          "None=Nenkoff, Mr. Christo<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Asplund, Miss. Lillian Gertrud<br>Embarked=Embarked_Southampton<br>shap=0.023",
+          "None=Harknett, Miss. Alice Phoebe<br>Embarked=Embarked_Southampton<br>shap=0.103",
+          "None=Hunt, Mr. George Henry<br>Embarked=Embarked_Southampton<br>shap=-0.009",
+          "None=Reed, Mr. James George<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Stead, Mr. William Thomas<br>Embarked=Embarked_Southampton<br>shap=0.046",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Embarked=Embarked_Southampton<br>shap=0.005",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Embarked=Embarked_Southampton<br>shap=0.005",
+          "None=Andrews, Miss. Kornelia Theodosia<br>Embarked=Embarked_Southampton<br>shap=0.080",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Embarked=Embarked_Southampton<br>shap=0.014",
+          "None=Smith, Mr. Richard William<br>Embarked=Embarked_Southampton<br>shap=-0.297",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Sage, Mr. George John Jr<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Nysveen, Mr. Johan Hansen<br>Embarked=Embarked_Southampton<br>shap=0.020",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Embarked=Embarked_Southampton<br>shap=0.232",
+          "None=Denkoff, Mr. Mitto<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Dimic, Mr. Jovan<br>Embarked=Embarked_Southampton<br>shap=0.002",
+          "None=Beavan, Mr. William Thomas<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Gustafsson, Mr. Karl Gideon<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Plotcharsky, Mr. Vasil<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Goodwin, Master. Sidney Leonard<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Gustafsson, Mr. Johan Birger<br>Embarked=Embarked_Southampton<br>shap=-0.002",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Embarked=Embarked_Southampton<br>shap=0.075",
+          "None=Niskanen, Mr. Juha<br>Embarked=Embarked_Southampton<br>shap=-0.003",
+          "None=Matthews, Mr. William John<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Embarked=Embarked_Southampton<br>shap=0.099",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Embarked=Embarked_Southampton<br>shap=0.008",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Embarked=Embarked_Southampton<br>shap=-0.014",
+          "None=Peuchen, Major. Arthur Godfrey<br>Embarked=Embarked_Southampton<br>shap=0.060",
+          "None=Anderson, Mr. Harry<br>Embarked=Embarked_Southampton<br>shap=-0.041",
+          "None=Milling, Mr. Jacob Christian<br>Embarked=Embarked_Southampton<br>shap=0.011",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Embarked=Embarked_Southampton<br>shap=0.012",
+          "None=Karlsson, Mr. Nils August<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Windelov, Mr. Einar<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Shellard, Mr. Frederick William<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Svensson, Mr. Olof<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Laitinen, Miss. Kristina Sofia<br>Embarked=Embarked_Southampton<br>shap=0.089",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Embarked=Embarked_Southampton<br>shap=0.025",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Embarked=Embarked_Southampton<br>shap=0.058",
+          "None=Cacic, Miss. Marija<br>Embarked=Embarked_Southampton<br>shap=0.100",
+          "None=Hart, Miss. Eva Miriam<br>Embarked=Embarked_Southampton<br>shap=0.029",
+          "None=Butt, Major. Archibald Willingham<br>Embarked=Embarked_Southampton<br>shap=-1.423",
+          "None=Beane, Mr. Edward<br>Embarked=Embarked_Southampton<br>shap=-0.000",
+          "None=Goldsmith, Mr. Frank John<br>Embarked=Embarked_Southampton<br>shap=0.015",
+          "None=Ohman, Miss. Velin<br>Embarked=Embarked_Southampton<br>shap=0.096",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Embarked=Embarked_Southampton<br>shap=0.176",
+          "None=Harris, Mr. George<br>Embarked=Embarked_Southampton<br>shap=0.019",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Embarked=Embarked_Southampton<br>shap=-0.110",
+          "None=Patchett, Mr. George<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Murdlin, Mr. Joseph<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Daniel, Mr. Robert Williams<br>Embarked=Embarked_Southampton<br>shap=0.060",
+          "None=Shutes, Miss. Elizabeth W<br>Embarked=Embarked_Southampton<br>shap=0.557",
+          "None=Jardin, Mr. Jose Neto<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Embarked=Embarked_Southampton<br>shap=0.072",
+          "None=Bostandyeff, Mr. Guentcho<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Lundahl, Mr. Johan Svensson<br>Embarked=Embarked_Southampton<br>shap=0.019",
+          "None=Willey, Mr. Edward<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>Embarked=Embarked_Southampton<br>shap=0.096",
+          "None=Eitemiller, Mr. George Floyd<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Colley, Mr. Edward Pomeroy<br>Embarked=Embarked_Southampton<br>shap=-0.062",
+          "None=Coleff, Mr. Peju<br>Embarked=Embarked_Southampton<br>shap=-0.002",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Embarked=Embarked_Southampton<br>shap=0.014",
+          "None=Davidson, Mr. Thornton<br>Embarked=Embarked_Southampton<br>shap=-1.404",
+          "None=Turja, Miss. Anna Sofia<br>Embarked=Embarked_Southampton<br>shap=0.099",
+          "None=Goodwin, Mr. Charles Edward<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Panula, Mr. Jaako Arnold<br>Embarked=Embarked_Southampton<br>shap=0.005",
+          "None=Fischer, Mr. Eberhard Thelander<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Embarked=Embarked_Southampton<br>shap=-0.031",
+          "None=Hansen, Mr. Henrik Juul<br>Embarked=Embarked_Southampton<br>shap=0.000",
+          "None=Calderhead, Mr. Edward Pennington<br>Embarked=Embarked_Southampton<br>shap=-0.114",
+          "None=Klaber, Mr. Herman<br>Embarked=Embarked_Southampton<br>shap=-0.234",
+          "None=Taylor, Mr. Elmer Zebley<br>Embarked=Embarked_Southampton<br>shap=0.125",
+          "None=Larsson, Mr. August Viktor<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Greenberg, Mr. Samuel<br>Embarked=Embarked_Southampton<br>shap=0.019",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>Embarked=Embarked_Southampton<br>shap=0.131",
+          "None=Johnson, Mr. Malkolm Joackim<br>Embarked=Embarked_Southampton<br>shap=-0.009",
+          "None=Gillespie, Mr. William Henry<br>Embarked=Embarked_Southampton<br>shap=-0.002",
+          "None=Allen, Miss. Elisabeth Walton<br>Embarked=Embarked_Southampton<br>shap=2.061",
+          "None=Berriman, Mr. William John<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Troupiansky, Mr. Moses Aaron<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Williams, Mr. Leslie<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Ivanoff, Mr. Kanio<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=McNamee, Mr. Neal<br>Embarked=Embarked_Southampton<br>shap=0.000",
+          "None=Carlsson, Mr. August Sigfrid<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Embarked=Embarked_Southampton<br>shap=2.021",
+          "None=Eklund, Mr. Hans Linus<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Hogeboom, Mrs. John C (Anna Andrews)<br>Embarked=Embarked_Southampton<br>shap=0.085",
+          "None=Lievens, Mr. Rene Aime<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Embarked=Embarked_Southampton<br>shap=1.276",
+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Embarked=Embarked_Southampton<br>shap=1.777",
+          "None=Johnston, Mr. Andrew G<br>Embarked=Embarked_Southampton<br>shap=0.017",
+          "None=Ali, Mr. William<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Sjoblom, Miss. Anna Sofia<br>Embarked=Embarked_Southampton<br>shap=0.099",
+          "None=Leader, Dr. Alice (Farnham)<br>Embarked=Embarked_Southampton<br>shap=0.361",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Embarked=Embarked_Southampton<br>shap=0.022",
+          "None=Carter, Master. William Thornton II<br>Embarked=Embarked_Southampton<br>shap=-1.305",
+          "None=Johansson, Mr. Karl Johan<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Slemen, Mr. Richard James<br>Embarked=Embarked_Southampton<br>shap=-0.002",
+          "None=Tomlin, Mr. Ernest Portage<br>Embarked=Embarked_Southampton<br>shap=-0.010",
+          "None=Richards, Master. George Sibley<br>Embarked=Embarked_Southampton<br>shap=0.011",
+          "None=Mudd, Mr. Thomas Charles<br>Embarked=Embarked_Southampton<br>shap=-0.013",
+          "None=Sage, Mr. Douglas Bullen<br>Embarked=Embarked_Southampton<br>shap=0.009",
+          "None=Aks, Mrs. Sam (Leah Rosen)<br>Embarked=Embarked_Southampton<br>shap=0.039",
+          "None=Johnson, Master. Harold Theodor<br>Embarked=Embarked_Southampton<br>shap=0.011",
+          "None=Carlsson, Mr. Frans Olof<br>Embarked=Embarked_Southampton<br>shap=-1.528",
+          "None=Gustafsson, Mr. Alfred Ossian<br>Embarked=Embarked_Southampton<br>shap=-0.013",
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+          "color": "#00CC96",
+          "opacity": 0.3,
+          "showscale": false,
+          "size": 5
          },
-         "name": "contribution",
-         "orientation": "h",
+         "mode": "markers",
+         "name": "Embarked_Queenstown",
+         "opacity": 0.8,
+         "showlegend": false,
          "text": [
-          "Population<br>average=<BR>+32.59 $",
-          "Deck_B=0.0<BR>-3.79 $",
-          "No_of_relatives_on_board=1.0<BR>-2.95 $",
-          "Deck_Unkown=0.0<BR>-1.87 $",
-          "No_of_parents_plus_children_on_board=0.0<BR>-1.63 $",
-          "No_of_siblings_plus_spouses_on_board=1.0<BR>-0.56 $",
-          "Other features combined=<BR>0.0 $",
-          "Embarked_Unknown=0.0<BR>0.0 $",
-          "Embarked_Queenstown=0.0<BR>0.0 $",
-          "Deck_T=0.0<BR>0.0 $",
-          "Deck_G=0.0<BR>0.0 $",
-          "Deck_F=0.0<BR>0.0 $",
-          "Sex_nan=0.0<BR>0.0 $",
-          "Deck_E=0.0<BR>0.0 $",
-          "Deck_A=0.0<BR>+0.11 $",
-          "Deck_D=0.0<BR>+0.2 $",
-          "Survived=1.0<BR>+2.17 $",
-          "Deck_C=1.0<BR>+2.44 $",
-          "Sex_male=0.0<BR>+2.69 $",
-          "Embarked_Southampton=0.0<BR>+3.55 $",
-          "Sex_female=1.0<BR>+3.92 $",
-          "Embarked_Cherbourg=1.0<BR>+5.99 $",
-          "Age=38.0<BR>+7.56 $",
-          "PassengerClass=1.0<BR>+65.34 $",
-          "Final Prediction=<BR>+115.74 $"
-         ],
-         "type": "bar",
-         "x": [
-          115.74,
-          65.34,
-          7.56,
-          5.99,
-          3.92,
-          3.55,
-          2.69,
-          2.44,
-          2.17,
-          0.2,
-          0.11,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          -0.56,
-          -1.63,
-          -1.87,
-          -2.95,
-          -3.79,
-          32.59
+          "None=Glynn, Miss. Mary Agatha<br>Embarked=Embarked_Queenstown<br>shap=-0.216",
+          "None=Devaney, Miss. Margaret Delia<br>Embarked=Embarked_Queenstown<br>shap=-0.216",
+          "None=Moran, Miss. Bertha<br>Embarked=Embarked_Queenstown<br>shap=-0.183",
+          "None=Smith, Mr. Thomas<br>Embarked=Embarked_Queenstown<br>shap=0.074",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Embarked=Embarked_Queenstown<br>shap=-0.216",
+          "None=Connolly, Miss. Kate<br>Embarked=Embarked_Queenstown<br>shap=-0.212",
+          "None=Sadlier, Mr. Matthew<br>Embarked=Embarked_Queenstown<br>shap=0.074",
+          "None=Minahan, Miss. Daisy E<br>Embarked=Embarked_Queenstown<br>shap=-0.075",
+          "None=Charters, Mr. David<br>Embarked=Embarked_Queenstown<br>shap=0.069",
+          "None=O'Sullivan, Miss. Bridget Mary<br>Embarked=Embarked_Queenstown<br>shap=-0.231",
+          "None=Morrow, Mr. Thomas Rowan<br>Embarked=Embarked_Queenstown<br>shap=0.074",
+          "None=Bourke, Miss. Mary<br>Embarked=Embarked_Queenstown<br>shap=-0.156",
+          "None=Horgan, Mr. John<br>Embarked=Embarked_Queenstown<br>shap=0.074",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>Embarked=Embarked_Queenstown<br>shap=-0.231",
+          "None=McEvoy, Mr. Michael<br>Embarked=Embarked_Queenstown<br>shap=0.074",
+          "None=Connaghton, Mr. Michael<br>Embarked=Embarked_Queenstown<br>shap=0.069",
+          "None=Moran, Mr. Daniel J<br>Embarked=Embarked_Queenstown<br>shap=0.062",
+          "None=McCormack, Mr. Thomas Joseph<br>Embarked=Embarked_Queenstown<br>shap=0.062"
+         ],
+         "type": "scattergl",
+         "x": [
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+          -0.21596241666364357,
+          -0.18270521074878987,
+          0.07385227987078577,
+          -0.21596241666364357,
+          -0.2116147564397708,
+          0.07385227987078577,
+          -0.07532309923846459,
+          0.06914231462825687,
+          -0.23051193661277308,
+          0.07385227987078577,
+          -0.1564796009919533,
+          0.07385227987078577,
+          -0.2305119366127731,
+          0.07385227987078577,
+          0.06914231462825687,
+          0.06174701462108635,
+          0.06156682818550369
          ],
+         "xaxis": "x6",
          "y": [
-          "Final Prediction",
-          "PassengerClass",
-          "Age",
-          "Embarked_Cherbourg",
-          "Sex_female",
-          "Embarked_Southampton",
-          "Sex_male",
-          "Deck_C",
-          "Survived",
-          "Deck_D",
-          "Deck_A",
-          "Deck_E",
-          "Sex_nan",
-          "Deck_F",
-          "Deck_G",
-          "Deck_T",
-          "Embarked_Queenstown",
-          "Embarked_Unknown",
-          "Other features combined",
-          "No_of_siblings_plus_spouses_on_board",
-          "No_of_parents_plus_children_on_board",
-          "Deck_Unkown",
-          "No_of_relatives_on_board",
-          "Deck_B",
-          "Population<br>average"
-         ]
-        }
-       ],
-       "layout": {
-        "barmode": "stack",
-        "height": 975,
-        "margin": {
-         "b": 50,
-         "l": 252,
-         "pad": 4,
-         "r": 100,
-         "t": 50
-        },
-        "plot_bgcolor": "#fff",
-        "showlegend": false,
-        "template": {
-         "data": {
-          "scatter": [
-           {
-            "type": "scatter"
-           }
-          ]
-         }
-        },
-        "title": {
-         "text": "Contribution to prediction Fare = 115.74 $",
-         "x": 0.5
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+          0.37611301268232555,
+          0.7977428871111882
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+         "yaxis": "y6"
+        },
+        {
+         "hoverinfo": "text",
+         "marker": {
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+          "colorbar": {
+           "showticklabels": false,
+           "title": {
+            "text": "feature value <br> (red is high)"
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+          },
+          "colorscale": [
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+            "rgb(0,0,255)"
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+           [
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+          "opacity": 0.3,
+          "showscale": true,
+          "size": 5
+         },
+         "mode": "markers",
+         "name": "Age",
+         "opacity": 0.8,
+         "showlegend": false,
+         "text": [
+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=38.0<br>shap=0.956",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=35.0<br>shap=0.718",
+          "None=Palsson, Master. Gosta Leonard<br>Age=2.0<br>shap=0.078",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=27.0<br>shap=-0.107",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>shap=-0.159",
+          "None=Saundercock, Mr. William Henry<br>Age=20.0<br>shap=0.167",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=14.0<br>shap=-0.155",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=38.0<br>shap=0.116",
+          "None=Glynn, Miss. Mary Agatha<br>Age=nan<br>shap=-0.141",
+          "None=Meyer, Mr. Edgar Joseph<br>Age=28.0<br>shap=0.625",
+          "None=Kraeff, Mr. Theodor<br>Age=nan<br>shap=0.140",
+          "None=Devaney, Miss. Margaret Delia<br>Age=19.0<br>shap=-0.193",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=18.0<br>shap=-0.160",
+          "None=Rugg, Miss. Emily<br>Age=21.0<br>shap=-0.164",
+          "None=Harris, Mr. Henry Birkhardt<br>Age=45.0<br>shap=0.081",
+          "None=Skoog, Master. Harald<br>Age=4.0<br>shap=0.075",
+          "None=Kink, Mr. Vincenz<br>Age=26.0<br>shap=0.160",
+          "None=Hood, Mr. Ambrose Jr<br>Age=21.0<br>shap=0.160",
+          "None=Ilett, Miss. Bertha<br>Age=17.0<br>shap=-0.168",
+          "None=Ford, Mr. William Neal<br>Age=16.0<br>shap=0.165",
+          "None=Christmann, Mr. Emil<br>Age=29.0<br>shap=0.090",
+          "None=Andreasson, Mr. Paul Edvin<br>Age=20.0<br>shap=0.167",
+          "None=Chaffee, Mr. Herbert Fuller<br>Age=46.0<br>shap=0.083",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=nan<br>shap=0.113",
+          "None=White, Mr. Richard Frasar<br>Age=21.0<br>shap=0.982",
+          "None=Rekic, Mr. Tido<br>Age=38.0<br>shap=-0.115",
+          "None=Moran, Miss. Bertha<br>Age=nan<br>shap=-0.126",
+          "None=Barton, Mr. David John<br>Age=22.0<br>shap=0.160",
+          "None=Jussila, Miss. Katriina<br>Age=20.0<br>shap=-0.162",
+          "None=Pekoniemi, Mr. Edvard<br>Age=21.0<br>shap=0.160",
+          "None=Turpin, Mr. William John Robert<br>Age=29.0<br>shap=0.083",
+          "None=Moore, Mr. Leonard Charles<br>Age=nan<br>shap=0.113",
+          "None=Osen, Mr. Olaf Elon<br>Age=16.0<br>shap=0.143",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=9.0<br>shap=-0.083",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=36.5<br>shap=0.007",
+          "None=Bateman, Rev. Robert James<br>Age=51.0<br>shap=-0.073",
+          "None=Meo, Mr. Alfonzo<br>Age=55.5<br>shap=-0.077",
+          "None=Cribb, Mr. John Hatfield<br>Age=44.0<br>shap=-0.082",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=nan<br>shap=-0.501",
+          "None=Van der hoef, Mr. Wyckoff<br>Age=61.0<br>shap=-0.209",
+          "None=Sivola, Mr. Antti Wilhelm<br>Age=21.0<br>shap=0.160",
+          "None=Klasen, Mr. Klas Albin<br>Age=18.0<br>shap=0.194",
+          "None=Rood, Mr. Hugh Roscoe<br>Age=nan<br>shap=0.249",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=19.0<br>shap=-0.154",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>shap=-0.283",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>shap=0.090",
+          "None=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>shap=0.080",
+          "None=Blank, Mr. Henry<br>Age=40.0<br>shap=-0.279",
+          "None=Ali, Mr. Ahmed<br>Age=24.0<br>shap=0.198",
+          "None=Green, Mr. George Henry<br>Age=51.0<br>shap=-0.073",
+          "None=Nenkoff, Mr. Christo<br>Age=nan<br>shap=0.113",
+          "None=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>shap=-0.061",
+          "None=Harknett, Miss. Alice Phoebe<br>Age=nan<br>shap=-0.126",
+          "None=Hunt, Mr. George Henry<br>Age=33.0<br>shap=-0.034",
+          "None=Reed, Mr. James George<br>Age=nan<br>shap=0.113",
+          "None=Stead, Mr. William Thomas<br>Age=62.0<br>shap=0.039",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Age=nan<br>shap=-1.009",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>shap=0.074",
+          "None=Smith, Mr. Thomas<br>Age=nan<br>shap=0.136",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>shap=0.060",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Age=nan<br>shap=-0.141",
+          "None=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>shap=-0.548",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>shap=0.055",
+          "None=Smith, Mr. Richard William<br>Age=nan<br>shap=0.249",
+          "None=Connolly, Miss. Kate<br>Age=22.0<br>shap=-0.180",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>shap=-1.072",
+          "None=Levy, Mr. Rene Jacques<br>Age=36.0<br>shap=-0.044",
+          "None=Lewy, Mr. Ervin G<br>Age=nan<br>shap=0.878",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Age=nan<br>shap=0.113",
+          "None=Sage, Mr. George John Jr<br>Age=nan<br>shap=0.099",
+          "None=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>shap=-0.087",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=nan<br>shap=-0.601",
+          "None=Denkoff, Mr. Mitto<br>Age=nan<br>shap=0.113",
+          "None=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>shap=0.313",
+          "None=Dimic, Mr. Jovan<br>Age=42.0<br>shap=-0.093",
+          "None=del Carlo, Mr. Sebastiano<br>Age=29.0<br>shap=0.102",
+          "None=Beavan, Mr. William Thomas<br>Age=19.0<br>shap=0.167",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=nan<br>shap=-0.858",
+          "None=Widener, Mr. Harry Elkins<br>Age=27.0<br>shap=0.864",
+          "None=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>shap=0.167",
+          "None=Plotcharsky, Mr. Vasil<br>Age=nan<br>shap=0.113",
+          "None=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>shap=0.075",
+          "None=Sadlier, Mr. Matthew<br>Age=nan<br>shap=0.136",
+          "None=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>shap=0.160",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>shap=-0.185",
+          "None=Niskanen, Mr. Juha<br>Age=39.0<br>shap=-0.076",
+          "None=Minahan, Miss. Daisy E<br>Age=33.0<br>shap=0.266",
+          "None=Matthews, Mr. William John<br>Age=30.0<br>shap=0.086",
+          "None=Charters, Mr. David<br>Age=21.0<br>shap=0.175",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=19.0<br>shap=-0.170",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>shap=0.083",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>shap=0.099",
+          "None=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>shap=0.139",
+          "None=Anderson, Mr. Harry<br>Age=48.0<br>shap=0.116",
+          "None=Milling, Mr. Jacob Christian<br>Age=48.0<br>shap=-0.057",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>shap=0.008",
+          "None=Karlsson, Mr. Nils August<br>Age=22.0<br>shap=0.160",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Age=nan<br>shap=0.113",
+          "None=Bishop, Mr. Dickinson H<br>Age=25.0<br>shap=1.084",
+          "None=Windelov, Mr. Einar<br>Age=21.0<br>shap=0.160",
+          "None=Shellard, Mr. Frederick William<br>Age=nan<br>shap=0.113",
+          "None=Svensson, Mr. Olof<br>Age=24.0<br>shap=0.198",
+          "None=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>shap=-0.149",
+          "None=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>shap=0.185",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>shap=0.654",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=nan<br>shap=0.620",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=36.0<br>shap=0.164",
+          "None=Kassem, Mr. Fared<br>Age=nan<br>shap=0.140",
+          "None=Cacic, Miss. Marija<br>Age=30.0<br>shap=-0.087",
+          "None=Hart, Miss. Eva Miriam<br>Age=7.0<br>shap=-0.118",
+          "None=Butt, Major. Archibald Willingham<br>Age=45.0<br>shap=0.159",
+          "None=Beane, Mr. Edward<br>Age=32.0<br>shap=0.113",
+          "None=Goldsmith, Mr. Frank John<br>Age=33.0<br>shap=0.031",
+          "None=Ohman, Miss. Velin<br>Age=22.0<br>shap=-0.164",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>shap=0.470",
+          "None=Morrow, Mr. Thomas Rowan<br>Age=nan<br>shap=0.136",
+          "None=Harris, Mr. George<br>Age=62.0<br>shap=-0.045",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>shap=-0.732",
+          "None=Patchett, Mr. George<br>Age=19.0<br>shap=0.167",
+          "None=Ross, Mr. John Hugo<br>Age=36.0<br>shap=-0.411",
+          "None=Murdlin, Mr. Joseph<br>Age=nan<br>shap=0.113",
+          "None=Bourke, Miss. Mary<br>Age=nan<br>shap=-0.157",
+          "None=Boulos, Mr. Hanna<br>Age=nan<br>shap=0.140",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Age=49.0<br>shap=-0.177",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=35.0<br>shap=-0.731",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>shap=-0.094",
+          "None=Daniel, Mr. Robert Williams<br>Age=27.0<br>shap=0.525",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>shap=-0.191",
+          "None=Shutes, Miss. Elizabeth W<br>Age=40.0<br>shap=0.391",
+          "None=Jardin, Mr. Jose Neto<br>Age=nan<br>shap=0.113",
+          "None=Horgan, Mr. John<br>Age=nan<br>shap=0.136",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>shap=-0.083",
+          "None=Yasbeck, Mr. Antoni<br>Age=27.0<br>shap=0.102",
+          "None=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>shap=0.090",
+          "None=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>shap=-0.073",
+          "None=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>shap=0.962",
+          "None=Willey, Mr. Edward<br>Age=nan<br>shap=0.113",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>shap=-0.164",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>Age=18.0<br>shap=-0.199",
+          "None=Eitemiller, Mr. George Floyd<br>Age=23.0<br>shap=0.160",
+          "None=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>shap=0.107",
+          "None=Coleff, Mr. Peju<br>Age=36.0<br>shap=-0.088",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>shap=0.126",
+          "None=Davidson, Mr. Thornton<br>Age=31.0<br>shap=0.119",
+          "None=Turja, Miss. Anna Sofia<br>Age=18.0<br>shap=-0.168",
+          "None=Hassab, Mr. Hammad<br>Age=27.0<br>shap=0.126",
+          "None=Goodwin, Mr. Charles Edward<br>Age=14.0<br>shap=0.093",
+          "None=Panula, Mr. Jaako Arnold<br>Age=14.0<br>shap=0.097",
+          "None=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>shap=0.165",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>shap=-0.025",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>shap=-0.512",
+          "None=Hansen, Mr. Henrik Juul<br>Age=26.0<br>shap=0.083",
+          "None=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>shap=-0.077",
+          "None=Klaber, Mr. Herman<br>Age=nan<br>shap=0.328",
+          "None=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>shap=0.198",
+          "None=Larsson, Mr. August Viktor<br>Age=29.0<br>shap=0.090",
+          "None=Greenberg, Mr. Samuel<br>Age=52.0<br>shap=-0.073",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>Age=27.0<br>shap=-0.006",
+          "None=McEvoy, Mr. Michael<br>Age=nan<br>shap=0.136",
+          "None=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>shap=-0.034",
+          "None=Gillespie, Mr. William Henry<br>Age=34.0<br>shap=-0.064",
+          "None=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>shap=-0.049",
+          "None=Berriman, Mr. William John<br>Age=23.0<br>shap=0.160",
+          "None=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>shap=0.160",
+          "None=Williams, Mr. Leslie<br>Age=28.5<br>shap=0.090",
+          "None=Ivanoff, Mr. Kanio<br>Age=nan<br>shap=0.113",
+          "None=McNamee, Mr. Neal<br>Age=24.0<br>shap=0.188",
+          "None=Connaghton, Mr. Michael<br>Age=31.0<br>shap=0.089",
+          "None=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>shap=0.090",
+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>shap=0.027",
+          "None=Eklund, Mr. Hans Linus<br>Age=16.0<br>shap=0.143",
+          "None=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>shap=-0.562",
+          "None=Moran, Mr. Daniel J<br>Age=nan<br>shap=0.125",
+          "None=Lievens, Mr. Rene Aime<br>Age=24.0<br>shap=0.198",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>shap=0.569",
+          "None=Ayoub, Miss. Banoura<br>Age=13.0<br>shap=-0.138",
+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>shap=-0.523",
+          "None=Johnston, Mr. Andrew G<br>Age=nan<br>shap=0.138",
+          "None=Ali, Mr. William<br>Age=25.0<br>shap=0.123",
+          "None=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>shap=-0.168",
+          "None=Guggenheim, Mr. Benjamin<br>Age=46.0<br>shap=0.679",
+          "None=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>shap=-0.426",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>shap=-0.063",
+          "None=Carter, Master. William Thornton II<br>Age=11.0<br>shap=0.715",
+          "None=Thomas, Master. Assad Alexander<br>Age=0.42<br>shap=0.158",
+          "None=Johansson, Mr. Karl Johan<br>Age=31.0<br>shap=0.074",
+          "None=Slemen, Mr. Richard James<br>Age=35.0<br>shap=-0.073",
+          "None=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>shap=0.086",
+          "None=McCormack, Mr. Thomas Joseph<br>Age=nan<br>shap=0.122",
+          "None=Richards, Master. George Sibley<br>Age=0.83<br>shap=0.123",
+          "None=Mudd, Mr. Thomas Charles<br>Age=16.0<br>shap=0.143",
+          "None=Lemberopolous, Mr. Peter L<br>Age=34.5<br>shap=-0.073",
+          "None=Sage, Mr. Douglas Bullen<br>Age=nan<br>shap=0.099",
+          "None=Boulos, Miss. Nourelain<br>Age=9.0<br>shap=-0.151",
+          "None=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>shap=-0.179",
+          "None=Razi, Mr. Raihed<br>Age=nan<br>shap=0.140",
+          "None=Johnson, Master. Harold Theodor<br>Age=4.0<br>shap=0.123",
+          "None=Carlsson, Mr. Frans Olof<br>Age=33.0<br>shap=0.116",
+          "None=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>shap=0.167",
+          "None=Montvila, Rev. Juozas<br>Age=27.0<br>shap=0.090"
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+          0.5182120086124873,
+          0.29976791532954017,
+          0.3449541299673822,
+          0.5192718015163491
+         ],
+         "yaxis": "y7"
         },
-        "xaxis": {
-         "title": {
-          "text": "Predicted $"
-         }
-        }
-       }
-      },
-      "text/html": [
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-       "                            \n",
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-     "metadata": {},
-     "output_type": "display_data"
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-   ],
-   "source": [
-    "name = test_names[0] # explainer prediction for name\n",
-    "print(name)\n",
-    "explainer.plot_contributions(name, cats=False, sort='low-to-high', orientation='horizontal')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Shap dependence plots"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-10-12T08:47:20.477164Z",
-     "start_time": "2020-10-12T08:47:20.466137Z"
-    }
-   },
-   "outputs": [
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          "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=38.0<br>SHAP=7.56",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=35.0<br>SHAP=6.13",
-          "index=Palsson, Master. Gosta Leonard<br>Age=2.0<br>SHAP=0.11",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=27.0<br>SHAP=-0.65",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>SHAP=-0.91",
-          "index=Saundercock, Mr. William Henry<br>Age=20.0<br>SHAP=-0.4",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=14.0<br>SHAP=0.09",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=38.0<br>SHAP=0.75",
-          "index=Glynn, Miss. Mary Agatha<br>Age=nan<br>SHAP=-0.35",
-          "index=Meyer, Mr. Edgar Joseph<br>Age=28.0<br>SHAP=-2.67",
-          "index=Kraeff, Mr. Theodor<br>Age=nan<br>SHAP=-0.08",
-          "index=Devaney, Miss. Margaret Delia<br>Age=19.0<br>SHAP=-0.89",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=18.0<br>SHAP=-0.84",
-          "index=Rugg, Miss. Emily<br>Age=21.0<br>SHAP=-0.79",
-          "index=Harris, Mr. Henry Birkhardt<br>Age=45.0<br>SHAP=-1.12",
-          "index=Skoog, Master. Harald<br>Age=4.0<br>SHAP=0.09",
-          "index=Kink, Mr. Vincenz<br>Age=26.0<br>SHAP=-0.38",
-          "index=Hood, Mr. Ambrose Jr<br>Age=21.0<br>SHAP=-0.3",
-          "index=Ilett, Miss. Bertha<br>Age=17.0<br>SHAP=-0.16",
-          "index=Ford, Mr. William Neal<br>Age=16.0<br>SHAP=-0.21",
-          "index=Christmann, Mr. Emil<br>Age=29.0<br>SHAP=-0.4",
-          "index=Andreasson, Mr. Paul Edvin<br>Age=20.0<br>SHAP=-0.4",
-          "index=Chaffee, Mr. Herbert Fuller<br>Age=46.0<br>SHAP=-0.51",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=nan<br>SHAP=0.27",
-          "index=White, Mr. Richard Frasar<br>Age=21.0<br>SHAP=2.44",
-          "index=Rekic, Mr. Tido<br>Age=38.0<br>SHAP=0.51",
-          "index=Moran, Miss. Bertha<br>Age=nan<br>SHAP=0.38",
-          "index=Barton, Mr. David John<br>Age=22.0<br>SHAP=-0.4",
-          "index=Jussila, Miss. Katriina<br>Age=20.0<br>SHAP=-0.98",
-          "index=Pekoniemi, Mr. Edvard<br>Age=21.0<br>SHAP=-0.4",
-          "index=Turpin, Mr. William John Robert<br>Age=29.0<br>SHAP=-0.25",
-          "index=Moore, Mr. Leonard Charles<br>Age=nan<br>SHAP=0.27",
-          "index=Osen, Mr. Olaf Elon<br>Age=16.0<br>SHAP=-0.19",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=9.0<br>SHAP=-0.03",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=36.5<br>SHAP=1.94",
-          "index=Bateman, Rev. Robert James<br>Age=51.0<br>SHAP=0.22",
-          "index=Meo, Mr. Alfonzo<br>Age=55.5<br>SHAP=-0.16",
-          "index=Cribb, Mr. John Hatfield<br>Age=44.0<br>SHAP=-0.29",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=nan<br>SHAP=0.78",
-          "index=Van der hoef, Mr. Wyckoff<br>Age=61.0<br>SHAP=-2.17",
-          "index=Sivola, Mr. Antti Wilhelm<br>Age=21.0<br>SHAP=-0.4",
-          "index=Klasen, Mr. Klas Albin<br>Age=18.0<br>SHAP=-0.19",
-          "index=Rood, Mr. Hugh Roscoe<br>Age=nan<br>SHAP=1.52",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=19.0<br>SHAP=-1.14",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>SHAP=6.35",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>SHAP=-0.34",
-          "index=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>SHAP=-0.44",
-          "index=Blank, Mr. Henry<br>Age=40.0<br>SHAP=4.3",
-          "index=Ali, Mr. Ahmed<br>Age=24.0<br>SHAP=-0.35",
-          "index=Green, Mr. George Henry<br>Age=51.0<br>SHAP=-0.08",
-          "index=Nenkoff, Mr. Christo<br>Age=nan<br>SHAP=0.27",
-          "index=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>SHAP=-0.13",
-          "index=Harknett, Miss. Alice Phoebe<br>Age=nan<br>SHAP=-0.02",
-          "index=Hunt, Mr. George Henry<br>Age=33.0<br>SHAP=0.37",
-          "index=Reed, Mr. James George<br>Age=nan<br>SHAP=0.27",
-          "index=Stead, Mr. William Thomas<br>Age=62.0<br>SHAP=-3.21",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Age=nan<br>SHAP=-6.2",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>SHAP=0.73",
-          "index=Smith, Mr. Thomas<br>Age=nan<br>SHAP=0.09",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>SHAP=-0.01",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Age=nan<br>SHAP=-0.35",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>SHAP=-1.48",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>SHAP=2.22",
-          "index=Smith, Mr. Richard William<br>Age=nan<br>SHAP=1.52",
-          "index=Connolly, Miss. Kate<br>Age=22.0<br>SHAP=-0.88",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>SHAP=-3.6",
-          "index=Levy, Mr. Rene Jacques<br>Age=36.0<br>SHAP=3.36",
-          "index=Lewy, Mr. Ervin G<br>Age=nan<br>SHAP=-0.53",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Age=nan<br>SHAP=0.27",
-          "index=Sage, Mr. George John Jr<br>Age=nan<br>SHAP=1.44",
-          "index=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>SHAP=-0.15",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=nan<br>SHAP=-2.0",
-          "index=Denkoff, Mr. Mitto<br>Age=nan<br>SHAP=0.27",
-          "index=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>SHAP=6.32",
-          "index=Dimic, Mr. Jovan<br>Age=42.0<br>SHAP=0.41",
-          "index=del Carlo, Mr. Sebastiano<br>Age=29.0<br>SHAP=-0.44",
-          "index=Beavan, Mr. William Thomas<br>Age=19.0<br>SHAP=-0.4",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=nan<br>SHAP=-4.52",
-          "index=Widener, Mr. Harry Elkins<br>Age=27.0<br>SHAP=-0.1",
-          "index=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>SHAP=-0.4",
-          "index=Plotcharsky, Mr. Vasil<br>Age=nan<br>SHAP=0.27",
-          "index=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>SHAP=-1.58",
-          "index=Sadlier, Mr. Matthew<br>Age=nan<br>SHAP=0.09",
-          "index=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>SHAP=-0.41",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>SHAP=-0.28",
-          "index=Niskanen, Mr. Juha<br>Age=39.0<br>SHAP=1.21",
-          "index=Minahan, Miss. Daisy E<br>Age=33.0<br>SHAP=1.67",
-          "index=Matthews, Mr. William John<br>Age=30.0<br>SHAP=-0.18",
-          "index=Charters, Mr. David<br>Age=21.0<br>SHAP=-0.32",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=19.0<br>SHAP=-0.79",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>SHAP=0.92",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>SHAP=0.13",
-          "index=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>SHAP=-1.64",
-          "index=Anderson, Mr. Harry<br>Age=48.0<br>SHAP=-0.42",
-          "index=Milling, Mr. Jacob Christian<br>Age=48.0<br>SHAP=0.31",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>SHAP=0.73",
-          "index=Karlsson, Mr. Nils August<br>Age=22.0<br>SHAP=-0.4",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Age=nan<br>SHAP=-1.07",
-          "index=Bishop, Mr. Dickinson H<br>Age=25.0<br>SHAP=-4.35",
-          "index=Windelov, Mr. Einar<br>Age=21.0<br>SHAP=-0.4",
-          "index=Shellard, Mr. Frederick William<br>Age=nan<br>SHAP=0.27",
-          "index=Svensson, Mr. Olof<br>Age=24.0<br>SHAP=-0.35",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>SHAP=-0.2",
-          "index=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>SHAP=1.11",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>SHAP=-1.15",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=nan<br>SHAP=0.02",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=36.0<br>SHAP=2.15",
-          "index=Kassem, Mr. Fared<br>Age=nan<br>SHAP=-0.08",
-          "index=Cacic, Miss. Marija<br>Age=30.0<br>SHAP=-0.62",
-          "index=Hart, Miss. Eva Miriam<br>Age=7.0<br>SHAP=-0.33",
-          "index=Butt, Major. Archibald Willingham<br>Age=45.0<br>SHAP=0.97",
-          "index=Beane, Mr. Edward<br>Age=32.0<br>SHAP=0.06",
-          "index=Goldsmith, Mr. Frank John<br>Age=33.0<br>SHAP=0.45",
-          "index=Ohman, Miss. Velin<br>Age=22.0<br>SHAP=-0.95",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>SHAP=1.82",
-          "index=Morrow, Mr. Thomas Rowan<br>Age=nan<br>SHAP=0.09",
-          "index=Harris, Mr. George<br>Age=62.0<br>SHAP=0.51",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>SHAP=-1.27",
-          "index=Patchett, Mr. George<br>Age=19.0<br>SHAP=-0.4",
-          "index=Ross, Mr. John Hugo<br>Age=36.0<br>SHAP=20.24",
-          "index=Murdlin, Mr. Joseph<br>Age=nan<br>SHAP=0.27",
-          "index=Bourke, Miss. Mary<br>Age=nan<br>SHAP=-0.14",
-          "index=Boulos, Mr. Hanna<br>Age=nan<br>SHAP=-0.08",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Age=49.0<br>SHAP=-1.78",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=35.0<br>SHAP=24.24",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>SHAP=1.25",
-          "index=Daniel, Mr. Robert Williams<br>Age=27.0<br>SHAP=-1.97",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>SHAP=-1.06",
-          "index=Shutes, Miss. Elizabeth W<br>Age=40.0<br>SHAP=3.34",
-          "index=Jardin, Mr. Jose Neto<br>Age=nan<br>SHAP=0.27",
-          "index=Horgan, Mr. John<br>Age=nan<br>SHAP=0.09",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>SHAP=-0.88",
-          "index=Yasbeck, Mr. Antoni<br>Age=27.0<br>SHAP=-0.9",
-          "index=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>SHAP=-0.15",
-          "index=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>SHAP=-0.08",
-          "index=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>SHAP=1.36",
-          "index=Willey, Mr. Edward<br>Age=nan<br>SHAP=0.27",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>SHAP=-0.94",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Age=18.0<br>SHAP=-0.47",
-          "index=Eitemiller, Mr. George Floyd<br>Age=23.0<br>SHAP=-0.29",
-          "index=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>SHAP=-1.06",
-          "index=Coleff, Mr. Peju<br>Age=36.0<br>SHAP=1.62",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>SHAP=1.1",
-          "index=Davidson, Mr. Thornton<br>Age=31.0<br>SHAP=-0.88",
-          "index=Turja, Miss. Anna Sofia<br>Age=18.0<br>SHAP=-0.75",
-          "index=Hassab, Mr. Hammad<br>Age=27.0<br>SHAP=-4.14",
-          "index=Goodwin, Mr. Charles Edward<br>Age=14.0<br>SHAP=-1.64",
-          "index=Panula, Mr. Jaako Arnold<br>Age=14.0<br>SHAP=0.04",
-          "index=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>SHAP=-0.19",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>SHAP=0.3",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>SHAP=-3.47",
-          "index=Hansen, Mr. Henrik Juul<br>Age=26.0<br>SHAP=-0.69",
-          "index=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>SHAP=1.15",
-          "index=Klaber, Mr. Herman<br>Age=nan<br>SHAP=2.34",
-          "index=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>SHAP=-1.0",
-          "index=Larsson, Mr. August Viktor<br>Age=29.0<br>SHAP=-0.4",
-          "index=Greenberg, Mr. Samuel<br>Age=52.0<br>SHAP=0.22",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Age=27.0<br>SHAP=-0.35",
-          "index=McEvoy, Mr. Michael<br>Age=nan<br>SHAP=0.09",
-          "index=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>SHAP=0.25",
-          "index=Gillespie, Mr. William Henry<br>Age=34.0<br>SHAP=1.61",
-          "index=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>SHAP=-2.88",
-          "index=Berriman, Mr. William John<br>Age=23.0<br>SHAP=-0.29",
-          "index=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>SHAP=-0.29",
-          "index=Williams, Mr. Leslie<br>Age=28.5<br>SHAP=-0.34",
-          "index=Ivanoff, Mr. Kanio<br>Age=nan<br>SHAP=0.27",
-          "index=McNamee, Mr. Neal<br>Age=24.0<br>SHAP=-0.66",
-          "index=Connaghton, Mr. Michael<br>Age=31.0<br>SHAP=-0.03",
-          "index=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>SHAP=-0.34",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>SHAP=1.34",
-          "index=Eklund, Mr. Hans Linus<br>Age=16.0<br>SHAP=-0.19",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>SHAP=-1.2",
-          "index=Moran, Mr. Daniel J<br>Age=nan<br>SHAP=0.77",
-          "index=Lievens, Mr. Rene Aime<br>Age=24.0<br>SHAP=-0.35",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>SHAP=2.68",
-          "index=Ayoub, Miss. Banoura<br>Age=13.0<br>SHAP=-0.54",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>SHAP=-2.06",
-          "index=Johnston, Mr. Andrew G<br>Age=nan<br>SHAP=0.14",
-          "index=Ali, Mr. William<br>Age=25.0<br>SHAP=-0.44",
-          "index=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>SHAP=-0.75",
-          "index=Guggenheim, Mr. Benjamin<br>Age=46.0<br>SHAP=0.54",
-          "index=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>SHAP=0.47",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>SHAP=-0.1",
-          "index=Carter, Master. William Thornton II<br>Age=11.0<br>SHAP=1.79",
-          "index=Thomas, Master. Assad Alexander<br>Age=0.42<br>SHAP=-0.32",
-          "index=Johansson, Mr. Karl Johan<br>Age=31.0<br>SHAP=-0.26",
-          "index=Slemen, Mr. Richard James<br>Age=35.0<br>SHAP=2.03",
-          "index=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>SHAP=-0.35",
-          "index=McCormack, Mr. Thomas Joseph<br>Age=nan<br>SHAP=-0.06",
-          "index=Richards, Master. George Sibley<br>Age=0.83<br>SHAP=-0.12",
-          "index=Mudd, Mr. Thomas Charles<br>Age=16.0<br>SHAP=0.44",
-          "index=Lemberopolous, Mr. Peter L<br>Age=34.5<br>SHAP=3.03",
-          "index=Sage, Mr. Douglas Bullen<br>Age=nan<br>SHAP=1.44",
-          "index=Boulos, Miss. Nourelain<br>Age=9.0<br>SHAP=-0.29",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>SHAP=-1.04",
-          "index=Razi, Mr. Raihed<br>Age=nan<br>SHAP=-0.08",
-          "index=Johnson, Master. Harold Theodor<br>Age=4.0<br>SHAP=0.05",
-          "index=Carlsson, Mr. Frans Olof<br>Age=33.0<br>SHAP=1.76",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>SHAP=-0.4",
-          "index=Montvila, Rev. Juozas<br>Age=27.0<br>SHAP=-0.31"
-         ],
-         "type": "scatter",
-         "x": [
-          38,
-          35,
-          2,
-          27,
-          14,
-          20,
-          14,
-          38,
-          null,
-          28,
-          null,
-          19,
-          18,
-          21,
-          45,
-          4,
-          26,
-          21,
-          17,
-          16,
-          29,
-          20,
-          46,
-          null,
-          21,
-          38,
-          null,
-          22,
-          20,
-          21,
-          29,
-          null,
-          16,
-          9,
-          36.5,
-          51,
-          55.5,
-          44,
-          null,
-          61,
-          21,
-          18,
-          null,
-          19,
-          44,
-          28,
-          32,
-          40,
-          24,
-          51,
-          null,
-          5,
-          null,
-          33,
-          null,
-          62,
-          null,
-          50,
-          null,
-          3,
-          null,
-          63,
-          35,
-          null,
-          22,
-          19,
-          36,
-          null,
-          null,
-          null,
-          61,
-          null,
-          null,
-          41,
-          42,
-          29,
-          19,
-          null,
-          27,
-          19,
-          null,
-          1,
-          null,
-          28,
-          24,
-          39,
-          33,
-          30,
-          21,
-          19,
-          45,
-          null,
-          52,
-          48,
-          48,
-          33,
-          22,
-          null,
-          25,
-          21,
-          null,
-          24,
-          null,
-          37,
-          18,
-          null,
-          36,
-          null,
-          30,
-          7,
-          45,
-          32,
-          33,
-          22,
-          39,
-          null,
-          62,
-          53,
-          19,
-          36,
-          null,
-          null,
-          null,
-          49,
-          35,
-          36,
-          27,
-          22,
-          40,
-          null,
-          null,
-          26,
-          27,
-          26,
-          51,
-          32,
-          null,
-          23,
-          18,
-          23,
-          47,
-          36,
-          40,
-          31,
-          18,
-          27,
-          14,
-          14,
-          18,
-          42,
-          18,
-          26,
-          42,
-          null,
-          48,
-          29,
-          52,
-          27,
-          null,
-          33,
-          34,
-          29,
-          23,
-          23,
-          28.5,
-          null,
-          24,
-          31,
-          28,
-          33,
-          16,
-          51,
-          null,
-          24,
-          43,
-          13,
-          17,
-          null,
-          25,
-          18,
-          46,
-          49,
-          31,
-          11,
-          0.42,
-          31,
-          35,
-          30.5,
-          null,
-          0.83,
-          16,
-          34.5,
-          null,
-          9,
-          18,
-          null,
-          4,
-          33,
-          20,
-          27
+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Survival=1<br>shap=-0.048",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Survival=1<br>shap=-0.049",
+          "None=Palsson, Master. Gosta Leonard<br>Survival=0<br>shap=-0.027",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Survival=1<br>shap=-0.020",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>Survival=1<br>shap=-0.025",
+          "None=Saundercock, Mr. William Henry<br>Survival=0<br>shap=-0.084",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>Survival=0<br>shap=0.040",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Survival=1<br>shap=-0.022",
+          "None=Glynn, Miss. Mary Agatha<br>Survival=1<br>shap=-0.042",
+          "None=Meyer, Mr. Edgar Joseph<br>Survival=0<br>shap=-0.115",
+          "None=Kraeff, Mr. Theodor<br>Survival=0<br>shap=-0.080",
+          "None=Devaney, Miss. Margaret Delia<br>Survival=1<br>shap=-0.042",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Survival=0<br>shap=0.029",
+          "None=Rugg, Miss. Emily<br>Survival=1<br>shap=-0.044",
+          "None=Harris, Mr. Henry Birkhardt<br>Survival=0<br>shap=-0.205",
+          "None=Skoog, Master. Harald<br>Survival=0<br>shap=-0.034",
+          "None=Kink, Mr. Vincenz<br>Survival=0<br>shap=-0.049",
+          "None=Hood, Mr. Ambrose Jr<br>Survival=0<br>shap=-0.084",
+          "None=Ilett, Miss. Bertha<br>Survival=1<br>shap=-0.044",
+          "None=Ford, Mr. William Neal<br>Survival=0<br>shap=-0.050",
+          "None=Christmann, Mr. Emil<br>Survival=0<br>shap=-0.084",
+          "None=Andreasson, Mr. Paul Edvin<br>Survival=0<br>shap=-0.084",
+          "None=Chaffee, Mr. Herbert Fuller<br>Survival=0<br>shap=-0.205",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Survival=0<br>shap=-0.084",
+          "None=White, Mr. Richard Frasar<br>Survival=0<br>shap=-0.039",
+          "None=Rekic, Mr. Tido<br>Survival=0<br>shap=-0.100",
+          "None=Moran, Miss. Bertha<br>Survival=1<br>shap=-0.022",
+          "None=Barton, Mr. David John<br>Survival=0<br>shap=-0.084",
+          "None=Jussila, Miss. Katriina<br>Survival=0<br>shap=0.029",
+          "None=Pekoniemi, Mr. Edvard<br>Survival=0<br>shap=-0.084",
+          "None=Turpin, Mr. William John Robert<br>Survival=0<br>shap=-0.065",
+          "None=Moore, Mr. Leonard Charles<br>Survival=0<br>shap=-0.084",
+          "None=Osen, Mr. Olaf Elon<br>Survival=0<br>shap=-0.084",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Survival=0<br>shap=0.006",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Survival=0<br>shap=-0.076",
+          "None=Bateman, Rev. Robert James<br>Survival=0<br>shap=-0.100",
+          "None=Meo, Mr. Alfonzo<br>Survival=0<br>shap=-0.100",
+          "None=Cribb, Mr. John Hatfield<br>Survival=0<br>shap=-0.069",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Survival=1<br>shap=0.017",
+          "None=Van der hoef, Mr. Wyckoff<br>Survival=0<br>shap=-1.905",
+          "None=Sivola, Mr. Antti Wilhelm<br>Survival=0<br>shap=-0.084",
+          "None=Klasen, Mr. Klas Albin<br>Survival=0<br>shap=-0.043",
+          "None=Rood, Mr. Hugh Roscoe<br>Survival=0<br>shap=-0.224",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Survival=1<br>shap=-0.024",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Survival=1<br>shap=-0.548",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Survival=0<br>shap=-0.084",
+          "None=Backstrom, Mr. Karl Alfred<br>Survival=0<br>shap=-0.081",
+          "None=Blank, Mr. Henry<br>Survival=1<br>shap=0.144",
+          "None=Ali, Mr. Ahmed<br>Survival=0<br>shap=-0.084",
+          "None=Green, Mr. George Henry<br>Survival=0<br>shap=-0.100",
+          "None=Nenkoff, Mr. Christo<br>Survival=0<br>shap=-0.084",
+          "None=Asplund, Miss. Lillian Gertrud<br>Survival=1<br>shap=-0.011",
+          "None=Harknett, Miss. Alice Phoebe<br>Survival=0<br>shap=0.040",
+          "None=Hunt, Mr. George Henry<br>Survival=0<br>shap=-0.100",
+          "None=Reed, Mr. James George<br>Survival=0<br>shap=-0.084",
+          "None=Stead, Mr. William Thomas<br>Survival=0<br>shap=-0.311",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Survival=1<br>shap=-0.053",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Survival=1<br>shap=-0.028",
+          "None=Smith, Mr. Thomas<br>Survival=0<br>shap=-0.073",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Survival=1<br>shap=0.031",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Survival=1<br>shap=-0.042",
+          "None=Andrews, Miss. Kornelia Theodosia<br>Survival=1<br>shap=-0.057",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Survival=1<br>shap=-0.021",
+          "None=Smith, Mr. Richard William<br>Survival=0<br>shap=-0.224",
+          "None=Connolly, Miss. Kate<br>Survival=1<br>shap=-0.042",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Survival=1<br>shap=-0.408",
+          "None=Levy, Mr. Rene Jacques<br>Survival=0<br>shap=-0.096",
+          "None=Lewy, Mr. Ervin G<br>Survival=0<br>shap=-0.149",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Survival=0<br>shap=-0.084",
+          "None=Sage, Mr. George John Jr<br>Survival=0<br>shap=-0.034",
+          "None=Nysveen, Mr. Johan Hansen<br>Survival=0<br>shap=-0.107",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Survival=1<br>shap=-0.041",
+          "None=Denkoff, Mr. Mitto<br>Survival=0<br>shap=-0.084",
+          "None=Burns, Miss. Elizabeth Margaret<br>Survival=1<br>shap=-0.061",
+          "None=Dimic, Mr. Jovan<br>Survival=0<br>shap=-0.100",
+          "None=del Carlo, Mr. Sebastiano<br>Survival=0<br>shap=-0.061",
+          "None=Beavan, Mr. William Thomas<br>Survival=0<br>shap=-0.084",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Survival=1<br>shap=-0.040",
+          "None=Widener, Mr. Harry Elkins<br>Survival=0<br>shap=-0.035",
+          "None=Gustafsson, Mr. Karl Gideon<br>Survival=0<br>shap=-0.084",
+          "None=Plotcharsky, Mr. Vasil<br>Survival=0<br>shap=-0.084",
+          "None=Goodwin, Master. Sidney Leonard<br>Survival=0<br>shap=-0.034",
+          "None=Sadlier, Mr. Matthew<br>Survival=0<br>shap=-0.073",
+          "None=Gustafsson, Mr. Johan Birger<br>Survival=0<br>shap=-0.049",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Survival=1<br>shap=-0.020",
+          "None=Niskanen, Mr. Juha<br>Survival=1<br>shap=0.115",
+          "None=Minahan, Miss. Daisy E<br>Survival=1<br>shap=-0.032",
+          "None=Matthews, Mr. William John<br>Survival=0<br>shap=-0.084",
+          "None=Charters, Mr. David<br>Survival=0<br>shap=-0.073",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Survival=1<br>shap=-0.044",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Survival=1<br>shap=-0.021",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Survival=1<br>shap=0.085",
+          "None=Peuchen, Major. Arthur Godfrey<br>Survival=1<br>shap=0.132",
+          "None=Anderson, Mr. Harry<br>Survival=1<br>shap=0.132",
+          "None=Milling, Mr. Jacob Christian<br>Survival=0<br>shap=-0.100",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Survival=1<br>shap=-0.022",
+          "None=Karlsson, Mr. Nils August<br>Survival=0<br>shap=-0.084",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Survival=0<br>shap=-0.084",
+          "None=Bishop, Mr. Dickinson H<br>Survival=1<br>shap=0.975",
+          "None=Windelov, Mr. Einar<br>Survival=0<br>shap=-0.084",
+          "None=Shellard, Mr. Frederick William<br>Survival=0<br>shap=-0.084",
+          "None=Svensson, Mr. Olof<br>Survival=0<br>shap=-0.084",
+          "None=O'Sullivan, Miss. Bridget Mary<br>Survival=0<br>shap=0.024",
+          "None=Laitinen, Miss. Kristina Sofia<br>Survival=0<br>shap=0.049",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>Survival=0<br>shap=-0.115",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Survival=1<br>shap=0.120",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Survival=1<br>shap=-0.039",
+          "None=Kassem, Mr. Fared<br>Survival=0<br>shap=-0.080",
+          "None=Cacic, Miss. Marija<br>Survival=0<br>shap=0.040",
+          "None=Hart, Miss. Eva Miriam<br>Survival=1<br>shap=-0.020",
+          "None=Butt, Major. Archibald Willingham<br>Survival=0<br>shap=-1.833",
+          "None=Beane, Mr. Edward<br>Survival=1<br>shap=0.082",
+          "None=Goldsmith, Mr. Frank John<br>Survival=0<br>shap=-0.059",
+          "None=Ohman, Miss. Velin<br>Survival=1<br>shap=-0.044",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Survival=1<br>shap=-0.035",
+          "None=Morrow, Mr. Thomas Rowan<br>Survival=0<br>shap=-0.073",
+          "None=Harris, Mr. George<br>Survival=1<br>shap=0.116",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Survival=1<br>shap=-0.030",
+          "None=Patchett, Mr. George<br>Survival=0<br>shap=-0.084",
+          "None=Ross, Mr. John Hugo<br>Survival=0<br>shap=-0.164",
+          "None=Murdlin, Mr. Joseph<br>Survival=0<br>shap=-0.084",
+          "None=Bourke, Miss. Mary<br>Survival=0<br>shap=0.010",
+          "None=Boulos, Mr. Hanna<br>Survival=0<br>shap=-0.080",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Survival=1<br>shap=0.121",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>Survival=1<br>shap=0.144",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Survival=0<br>shap=-0.081",
+          "None=Daniel, Mr. Robert Williams<br>Survival=1<br>shap=0.120",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Survival=1<br>shap=-0.015",
+          "None=Shutes, Miss. Elizabeth W<br>Survival=1<br>shap=-0.062",
+          "None=Jardin, Mr. Jose Neto<br>Survival=0<br>shap=-0.084",
+          "None=Horgan, Mr. John<br>Survival=0<br>shap=-0.073",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Survival=0<br>shap=0.029",
+          "None=Yasbeck, Mr. Antoni<br>Survival=0<br>shap=-0.061",
+          "None=Bostandyeff, Mr. Guentcho<br>Survival=0<br>shap=-0.084",
+          "None=Lundahl, Mr. Johan Svensson<br>Survival=0<br>shap=-0.100",
+          "None=Stahelin-Maeglin, Dr. Max<br>Survival=1<br>shap=1.228",
+          "None=Willey, Mr. Edward<br>Survival=0<br>shap=-0.084",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>Survival=1<br>shap=-0.044",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>Survival=0<br>shap=0.024",
+          "None=Eitemiller, Mr. George Floyd<br>Survival=0<br>shap=-0.084",
+          "None=Colley, Mr. Edward Pomeroy<br>Survival=0<br>shap=-0.239",
+          "None=Coleff, Mr. Peju<br>Survival=0<br>shap=-0.100",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Survival=1<br>shap=-0.021",
+          "None=Davidson, Mr. Thornton<br>Survival=0<br>shap=-1.361",
+          "None=Turja, Miss. Anna Sofia<br>Survival=1<br>shap=-0.044",
+          "None=Hassab, Mr. Hammad<br>Survival=1<br>shap=0.132",
+          "None=Goodwin, Mr. Charles Edward<br>Survival=0<br>shap=-0.034",
+          "None=Panula, Mr. Jaako Arnold<br>Survival=0<br>shap=-0.027",
+          "None=Fischer, Mr. Eberhard Thelander<br>Survival=0<br>shap=-0.084",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Survival=0<br>shap=-0.100",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Survival=1<br>shap=-0.040",
+          "None=Hansen, Mr. Henrik Juul<br>Survival=0<br>shap=-0.065",
+          "None=Calderhead, Mr. Edward Pennington<br>Survival=1<br>shap=0.132",
+          "None=Klaber, Mr. Herman<br>Survival=0<br>shap=-0.224",
+          "None=Taylor, Mr. Elmer Zebley<br>Survival=1<br>shap=0.109",
+          "None=Larsson, Mr. August Viktor<br>Survival=0<br>shap=-0.084",
+          "None=Greenberg, Mr. Samuel<br>Survival=0<br>shap=-0.100",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>Survival=1<br>shap=-0.044",
+          "None=McEvoy, Mr. Michael<br>Survival=0<br>shap=-0.073",
+          "None=Johnson, Mr. Malkolm Joackim<br>Survival=0<br>shap=-0.100",
+          "None=Gillespie, Mr. William Henry<br>Survival=0<br>shap=-0.100",
+          "None=Allen, Miss. Elisabeth Walton<br>Survival=1<br>shap=-0.323",
+          "None=Berriman, Mr. William John<br>Survival=0<br>shap=-0.084",
+          "None=Troupiansky, Mr. Moses Aaron<br>Survival=0<br>shap=-0.084",
+          "None=Williams, Mr. Leslie<br>Survival=0<br>shap=-0.084",
+          "None=Ivanoff, Mr. Kanio<br>Survival=0<br>shap=-0.084",
+          "None=McNamee, Mr. Neal<br>Survival=0<br>shap=-0.065",
+          "None=Connaghton, Mr. Michael<br>Survival=0<br>shap=-0.076",
+          "None=Carlsson, Mr. August Sigfrid<br>Survival=0<br>shap=-0.084",
+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Survival=1<br>shap=-0.331",
+          "None=Eklund, Mr. Hans Linus<br>Survival=0<br>shap=-0.084",
+          "None=Hogeboom, Mrs. John C (Anna Andrews)<br>Survival=1<br>shap=-0.049",
+          "None=Moran, Mr. Daniel J<br>Survival=0<br>shap=-0.054",
+          "None=Lievens, Mr. Rene Aime<br>Survival=0<br>shap=-0.084",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Survival=1<br>shap=-0.285",
+          "None=Ayoub, Miss. Banoura<br>Survival=1<br>shap=-0.045",
+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Survival=1<br>shap=-0.190",
+          "None=Johnston, Mr. Andrew G<br>Survival=0<br>shap=-0.050",
+          "None=Ali, Mr. William<br>Survival=0<br>shap=-0.084",
+          "None=Sjoblom, Miss. Anna Sofia<br>Survival=1<br>shap=-0.044",
+          "None=Guggenheim, Mr. Benjamin<br>Survival=0<br>shap=-2.174",
+          "None=Leader, Dr. Alice (Farnham)<br>Survival=1<br>shap=-0.062",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Survival=1<br>shap=-0.018",
+          "None=Carter, Master. William Thornton II<br>Survival=1<br>shap=0.422",
+          "None=Thomas, Master. Assad Alexander<br>Survival=1<br>shap=0.049",
+          "None=Johansson, Mr. Karl Johan<br>Survival=0<br>shap=-0.086",
+          "None=Slemen, Mr. Richard James<br>Survival=0<br>shap=-0.100",
+          "None=Tomlin, Mr. Ernest Portage<br>Survival=0<br>shap=-0.084",
+          "None=McCormack, Mr. Thomas Joseph<br>Survival=1<br>shap=0.084",
+          "None=Richards, Master. George Sibley<br>Survival=1<br>shap=0.034",
+          "None=Mudd, Mr. Thomas Charles<br>Survival=0<br>shap=-0.084",
+          "None=Lemberopolous, Mr. Peter L<br>Survival=0<br>shap=-0.096",
+          "None=Sage, Mr. Douglas Bullen<br>Survival=0<br>shap=-0.034",
+          "None=Boulos, Miss. Nourelain<br>Survival=0<br>shap=-0.000",
+          "None=Aks, Mrs. Sam (Leah Rosen)<br>Survival=1<br>shap=-0.019",
+          "None=Razi, Mr. Raihed<br>Survival=0<br>shap=-0.080",
+          "None=Johnson, Master. Harold Theodor<br>Survival=1<br>shap=0.034",
+          "None=Carlsson, Mr. Frans Olof<br>Survival=0<br>shap=-1.833",
+          "None=Gustafsson, Mr. Alfred Ossian<br>Survival=0<br>shap=-0.084",
+          "None=Montvila, Rev. Juozas<br>Survival=0<br>shap=-0.084"
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Alice Phoebe<br>Age=nan<br>SHAP=-0.02\", \"index=Hunt, Mr. George Henry<br>Age=33.0<br>SHAP=0.37\", \"index=Reed, Mr. James George<br>Age=nan<br>SHAP=0.27\", \"index=Stead, Mr. William Thomas<br>Age=62.0<br>SHAP=-3.21\", \"index=Thorne, Mrs. Gertrude Maybelle<br>Age=nan<br>SHAP=-6.2\", \"index=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>SHAP=0.73\", \"index=Smith, Mr. Thomas<br>Age=nan<br>SHAP=0.09\", \"index=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>SHAP=-0.01\", \"index=Healy, Miss. Hanora \\\"Nora\\\"<br>Age=nan<br>SHAP=-0.35\", \"index=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>SHAP=-1.48\", \"index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>SHAP=2.22\", \"index=Smith, Mr. Richard William<br>Age=nan<br>SHAP=1.52\", \"index=Connolly, Miss. Kate<br>Age=22.0<br>SHAP=-0.88\", \"index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>SHAP=-3.6\", \"index=Levy, Mr. Rene Jacques<br>Age=36.0<br>SHAP=3.36\", \"index=Lewy, Mr. Ervin G<br>Age=nan<br>SHAP=-0.53\", \"index=Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Age=nan<br>SHAP=0.27\", \"index=Sage, Mr. George John Jr<br>Age=nan<br>SHAP=1.44\", \"index=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>SHAP=-0.15\", \"index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=nan<br>SHAP=-2.0\", \"index=Denkoff, Mr. Mitto<br>Age=nan<br>SHAP=0.27\", \"index=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>SHAP=6.32\", \"index=Dimic, Mr. Jovan<br>Age=42.0<br>SHAP=0.41\", \"index=del Carlo, Mr. Sebastiano<br>Age=29.0<br>SHAP=-0.44\", \"index=Beavan, Mr. William Thomas<br>Age=19.0<br>SHAP=-0.4\", \"index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=nan<br>SHAP=-4.52\", \"index=Widener, Mr. Harry Elkins<br>Age=27.0<br>SHAP=-0.1\", \"index=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>SHAP=-0.4\", \"index=Plotcharsky, Mr. Vasil<br>Age=nan<br>SHAP=0.27\", \"index=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>SHAP=-1.58\", \"index=Sadlier, Mr. Matthew<br>Age=nan<br>SHAP=0.09\", \"index=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>SHAP=-0.41\", \"index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>SHAP=-0.28\", \"index=Niskanen, Mr. Juha<br>Age=39.0<br>SHAP=1.21\", \"index=Minahan, Miss. Daisy E<br>Age=33.0<br>SHAP=1.67\", \"index=Matthews, Mr. William John<br>Age=30.0<br>SHAP=-0.18\", \"index=Charters, Mr. David<br>Age=21.0<br>SHAP=-0.32\", \"index=Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Age=19.0<br>SHAP=-0.79\", \"index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>SHAP=0.92\", \"index=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>SHAP=0.13\", \"index=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>SHAP=-1.64\", \"index=Anderson, Mr. Harry<br>Age=48.0<br>SHAP=-0.42\", \"index=Milling, Mr. Jacob Christian<br>Age=48.0<br>SHAP=0.31\", \"index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>SHAP=0.73\", \"index=Karlsson, Mr. Nils August<br>Age=22.0<br>SHAP=-0.4\", \"index=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Age=nan<br>SHAP=-1.07\", \"index=Bishop, Mr. Dickinson H<br>Age=25.0<br>SHAP=-4.35\", \"index=Windelov, Mr. Einar<br>Age=21.0<br>SHAP=-0.4\", \"index=Shellard, Mr. Frederick William<br>Age=nan<br>SHAP=0.27\", \"index=Svensson, Mr. Olof<br>Age=24.0<br>SHAP=-0.35\", \"index=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>SHAP=-0.2\", \"index=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>SHAP=1.11\", \"index=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>SHAP=-1.15\", \"index=Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Age=nan<br>SHAP=0.02\", \"index=Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Age=36.0<br>SHAP=2.15\", \"index=Kassem, Mr. Fared<br>Age=nan<br>SHAP=-0.08\", \"index=Cacic, Miss. Marija<br>Age=30.0<br>SHAP=-0.62\", \"index=Hart, Miss. Eva Miriam<br>Age=7.0<br>SHAP=-0.33\", \"index=Butt, Major. Archibald Willingham<br>Age=45.0<br>SHAP=0.97\", \"index=Beane, Mr. Edward<br>Age=32.0<br>SHAP=0.06\", \"index=Goldsmith, Mr. Frank John<br>Age=33.0<br>SHAP=0.45\", \"index=Ohman, Miss. Velin<br>Age=22.0<br>SHAP=-0.95\", \"index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>SHAP=1.82\", \"index=Morrow, Mr. Thomas Rowan<br>Age=nan<br>SHAP=0.09\", \"index=Harris, Mr. George<br>Age=62.0<br>SHAP=0.51\", \"index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>SHAP=-1.27\", \"index=Patchett, Mr. George<br>Age=19.0<br>SHAP=-0.4\", \"index=Ross, Mr. John Hugo<br>Age=36.0<br>SHAP=20.24\", \"index=Murdlin, Mr. Joseph<br>Age=nan<br>SHAP=0.27\", \"index=Bourke, Miss. Mary<br>Age=nan<br>SHAP=-0.14\", \"index=Boulos, Mr. Hanna<br>Age=nan<br>SHAP=-0.08\", \"index=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Age=49.0<br>SHAP=-1.78\", \"index=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Age=35.0<br>SHAP=24.24\", \"index=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>SHAP=1.25\", \"index=Daniel, Mr. Robert Williams<br>Age=27.0<br>SHAP=-1.97\", \"index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>SHAP=-1.06\", \"index=Shutes, Miss. Elizabeth W<br>Age=40.0<br>SHAP=3.34\", \"index=Jardin, Mr. Jose Neto<br>Age=nan<br>SHAP=0.27\", \"index=Horgan, Mr. John<br>Age=nan<br>SHAP=0.09\", \"index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>SHAP=-0.88\", \"index=Yasbeck, Mr. Antoni<br>Age=27.0<br>SHAP=-0.9\", \"index=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>SHAP=-0.15\", \"index=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>SHAP=-0.08\", \"index=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>SHAP=1.36\", \"index=Willey, Mr. Edward<br>Age=nan<br>SHAP=0.27\", \"index=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>SHAP=-0.94\", \"index=Hegarty, Miss. Hanora \\\"Nora\\\"<br>Age=18.0<br>SHAP=-0.47\", \"index=Eitemiller, Mr. George Floyd<br>Age=23.0<br>SHAP=-0.29\", \"index=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>SHAP=-1.06\", \"index=Coleff, Mr. Peju<br>Age=36.0<br>SHAP=1.62\", \"index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>SHAP=1.1\", \"index=Davidson, Mr. Thornton<br>Age=31.0<br>SHAP=-0.88\", \"index=Turja, Miss. Anna Sofia<br>Age=18.0<br>SHAP=-0.75\", \"index=Hassab, Mr. Hammad<br>Age=27.0<br>SHAP=-4.14\", \"index=Goodwin, Mr. Charles Edward<br>Age=14.0<br>SHAP=-1.64\", \"index=Panula, Mr. Jaako Arnold<br>Age=14.0<br>SHAP=0.04\", \"index=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>SHAP=-0.19\", \"index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>SHAP=0.3\", \"index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>SHAP=-3.47\", \"index=Hansen, Mr. Henrik Juul<br>Age=26.0<br>SHAP=-0.69\", \"index=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>SHAP=1.15\", \"index=Klaber, Mr. Herman<br>Age=nan<br>SHAP=2.34\", \"index=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>SHAP=-1.0\", \"index=Larsson, Mr. August Viktor<br>Age=29.0<br>SHAP=-0.4\", \"index=Greenberg, Mr. Samuel<br>Age=52.0<br>SHAP=0.22\", \"index=Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Age=27.0<br>SHAP=-0.35\", \"index=McEvoy, Mr. Michael<br>Age=nan<br>SHAP=0.09\", \"index=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>SHAP=0.25\", \"index=Gillespie, Mr. William Henry<br>Age=34.0<br>SHAP=1.61\", \"index=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>SHAP=-2.88\", \"index=Berriman, Mr. William John<br>Age=23.0<br>SHAP=-0.29\", \"index=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>SHAP=-0.29\", \"index=Williams, Mr. Leslie<br>Age=28.5<br>SHAP=-0.34\", \"index=Ivanoff, Mr. Kanio<br>Age=nan<br>SHAP=0.27\", \"index=McNamee, Mr. Neal<br>Age=24.0<br>SHAP=-0.66\", \"index=Connaghton, Mr. Michael<br>Age=31.0<br>SHAP=-0.03\", \"index=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>SHAP=-0.34\", \"index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>SHAP=1.34\", \"index=Eklund, Mr. Hans Linus<br>Age=16.0<br>SHAP=-0.19\", \"index=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>SHAP=-1.2\", \"index=Moran, Mr. Daniel J<br>Age=nan<br>SHAP=0.77\", \"index=Lievens, Mr. Rene Aime<br>Age=24.0<br>SHAP=-0.35\", \"index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>SHAP=2.68\", \"index=Ayoub, Miss. Banoura<br>Age=13.0<br>SHAP=-0.54\", \"index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>SHAP=-2.06\", \"index=Johnston, Mr. Andrew G<br>Age=nan<br>SHAP=0.14\", \"index=Ali, Mr. William<br>Age=25.0<br>SHAP=-0.44\", \"index=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>SHAP=-0.75\", \"index=Guggenheim, Mr. Benjamin<br>Age=46.0<br>SHAP=0.54\", \"index=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>SHAP=0.47\", \"index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>SHAP=-0.1\", \"index=Carter, Master. William Thornton II<br>Age=11.0<br>SHAP=1.79\", \"index=Thomas, Master. Assad Alexander<br>Age=0.42<br>SHAP=-0.32\", \"index=Johansson, Mr. Karl Johan<br>Age=31.0<br>SHAP=-0.26\", \"index=Slemen, Mr. Richard James<br>Age=35.0<br>SHAP=2.03\", \"index=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>SHAP=-0.35\", \"index=McCormack, Mr. Thomas Joseph<br>Age=nan<br>SHAP=-0.06\", \"index=Richards, Master. George Sibley<br>Age=0.83<br>SHAP=-0.12\", \"index=Mudd, Mr. Thomas Charles<br>Age=16.0<br>SHAP=0.44\", \"index=Lemberopolous, Mr. Peter L<br>Age=34.5<br>SHAP=3.03\", \"index=Sage, Mr. Douglas Bullen<br>Age=nan<br>SHAP=1.44\", \"index=Boulos, Miss. Nourelain<br>Age=9.0<br>SHAP=-0.29\", \"index=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>SHAP=-1.04\", \"index=Razi, Mr. Raihed<br>Age=nan<br>SHAP=-0.08\", \"index=Johnson, Master. Harold Theodor<br>Age=4.0<br>SHAP=0.05\", \"index=Carlsson, Mr. Frans Olof<br>Age=33.0<br>SHAP=1.76\", \"index=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>SHAP=-0.4\", \"index=Montvila, Rev. Juozas<br>Age=27.0<br>SHAP=-0.31\"], \"type\": \"scatter\", \"x\": [38.0, 35.0, 2.0, 27.0, 14.0, 20.0, 14.0, 38.0, null, 28.0, null, 19.0, 18.0, 21.0, 45.0, 4.0, 26.0, 21.0, 17.0, 16.0, 29.0, 20.0, 46.0, null, 21.0, 38.0, null, 22.0, 20.0, 21.0, 29.0, null, 16.0, 9.0, 36.5, 51.0, 55.5, 44.0, null, 61.0, 21.0, 18.0, null, 19.0, 44.0, 28.0, 32.0, 40.0, 24.0, 51.0, null, 5.0, null, 33.0, null, 62.0, null, 50.0, null, 3.0, null, 63.0, 35.0, null, 22.0, 19.0, 36.0, null, null, null, 61.0, null, null, 41.0, 42.0, 29.0, 19.0, null, 27.0, 19.0, null, 1.0, null, 28.0, 24.0, 39.0, 33.0, 30.0, 21.0, 19.0, 45.0, null, 52.0, 48.0, 48.0, 33.0, 22.0, null, 25.0, 21.0, null, 24.0, null, 37.0, 18.0, null, 36.0, null, 30.0, 7.0, 45.0, 32.0, 33.0, 22.0, 39.0, null, 62.0, 53.0, 19.0, 36.0, null, null, null, 49.0, 35.0, 36.0, 27.0, 22.0, 40.0, null, null, 26.0, 27.0, 26.0, 51.0, 32.0, null, 23.0, 18.0, 23.0, 47.0, 36.0, 40.0, 31.0, 18.0, 27.0, 14.0, 14.0, 18.0, 42.0, 18.0, 26.0, 42.0, null, 48.0, 29.0, 52.0, 27.0, null, 33.0, 34.0, 29.0, 23.0, 23.0, 28.5, null, 24.0, 31.0, 28.0, 33.0, 16.0, 51.0, null, 24.0, 43.0, 13.0, 17.0, null, 25.0, 18.0, 46.0, 49.0, 31.0, 11.0, 0.42, 31.0, 35.0, 30.5, null, 0.83, 16.0, 34.5, null, 9.0, 18.0, null, 4.0, 33.0, 20.0, 27.0], \"y\": [7.5565204798659815, 6.125801497165066, 0.10676086418380337, -0.6510378001665383, -0.9119361499414768, -0.4032724829063158, 0.08898713064428877, 0.7461670815612641, -0.3454512046743985, -2.6715546532504972, -0.07811752154982794, -0.8850992607004508, -0.8418455042379255, -0.7884979448628002, -1.1231197850355985, 0.09345423012391019, -0.3792091643987693, -0.29766874702392615, -0.15693073344250047, -0.21425330472450843, -0.4026457883678799, -0.4032724829063158, -0.5148128839590438, 0.266507340470443, 2.437990581520618, 0.5084844757779529, 0.3836514212668406, -0.39835535471850414, -0.9752265001049413, -0.4032724829063158, -0.24765723111490018, 0.266507340470443, -0.19026761341941714, -0.032867086244189034, 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0.086898183779718, -0.41208030331545675, -0.2771442950755362, 1.2061397106037712, 1.6690393884529926, -0.1782632161872672, -0.31640485291462617, -0.7884979448628002, 0.9180181836935721, 0.129204624679271, -1.641302290071068, -0.42001185398620017, 0.308347118638638, 0.7271577988467455, -0.39835535471850414, -1.0699359198249114, -4.354505090038779, -0.4032724829063158, 0.266507340470443, -0.3494148800102339, -0.20042725177567577, 1.1105842612040768, -1.1533513638139201, 0.023011806977133904, 2.149648646347353, -0.07811752154982794, -0.6185746377189435, -0.32603544334966106, 0.9687828321987414, 0.05652533826818864, 0.44790957644144946, -0.9530004261676062, 1.8226684916599045, 0.086898183779718, 0.5122918336167066, -1.2741916492828387, -0.4032724829063158, 20.242012620683294, 0.266507340470443, -0.1406289187171451, -0.07811752154982794, -1.775259277016585, 24.244570816702304, 1.2514693068989795, -1.9665213578174514, -1.0601917554014602, 3.3439187185491988, 0.266507340470443, 0.086898183779718, -0.8844324055628898, -0.9014735801552007, -0.14562221175219, -0.08286550942263587, 1.3635947341260353, 0.266507340470443, -0.9358288035888571, -0.47209712495497147, -0.2920030991113654, -1.0645643153860636, 1.6184332831061568, 1.0993051777865739, -0.875608640189562, -0.7499059471662365, -4.144595303754496, -1.6441890229981209, 0.036103477161108545, -0.19496894782277882, 0.2960117633943211, -3.4716184624348037, -0.6931213579775495, 1.1548548871196083, 2.344970864127483, -1.0029075361076274, -0.4026457883678799, 0.21936994208140426, -0.3545974999681788, 0.086898183779718, 0.25030288058654127, 1.610586843433766, -2.8797628264923634, -0.2920030991113654, -0.2920030991113654, -0.34228672880683764, 0.266507340470443, -0.6554961512576867, -0.030916511292118275, -0.34228672880683764, 1.339909350097108, -0.19026761341941714, -1.201770235651871, 0.7660460124401851, -0.3494148800102339, 2.6824449316011956, -0.5415313930160067, -2.062611724034082, 0.13886120414521502, 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-       "                            \n",
-       "var gd = document.getElementById('a1a71cc5-7271-49b3-a843-27028a74485e');\n",
-       "var x = new MutationObserver(function (mutations, observer) {{\n",
-       "        var display = window.getComputedStyle(gd).display;\n",
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-       "            console.log([gd, 'removed!']);\n",
-       "            Plotly.purge(gd);\n",
-       "            observer.disconnect();\n",
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-       "}});\n",
-       "\n",
-       "// Listen for the removal of the full notebook cells\n",
-       "var notebookContainer = gd.closest('#notebook-container');\n",
-       "if (notebookContainer) {{\n",
-       "    x.observe(notebookContainer, {childList: true});\n",
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-       "\n",
-       "// Listen for the clearing of the current output cell\n",
-       "var outputEl = gd.closest('.output');\n",
-       "if (outputEl) {{\n",
-       "    x.observe(outputEl, {childList: true});\n",
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-       "\n",
-       "                        })                };                });            </script>        </div>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "explainer.plot_dependence(\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### color by sex"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2020-10-12T08:47:22.438729Z",
-     "start_time": "2020-10-12T08:47:22.419701Z"
-    }
-   },
-   "outputs": [
-    {
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-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=14.0<br>Sex=female<br>SHAP=-0.91",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>Sex=female<br>SHAP=0.09",
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-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=-999.0<br>Sex=female<br>SHAP=-0.35",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=19.0<br>Sex=female<br>SHAP=-0.89",
-          "index=Glynn, Miss. Mary Agatha<br>Age=18.0<br>Sex=female<br>SHAP=-0.84",
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-          "index=Kraeff, Mr. Theodor<br>Age=17.0<br>Sex=female<br>SHAP=-0.16",
-          "index=Devaney, Miss. Margaret Delia<br>Age=-999.0<br>Sex=female<br>SHAP=0.38",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=20.0<br>Sex=female<br>SHAP=-0.98",
-          "index=Rugg, Miss. Emily<br>Age=9.0<br>Sex=female<br>SHAP=-0.03",
-          "index=Harris, Mr. Henry Birkhardt<br>Age=-999.0<br>Sex=female<br>SHAP=0.78",
-          "index=Skoog, Master. Harald<br>Age=19.0<br>Sex=female<br>SHAP=-1.14",
-          "index=Kink, Mr. Vincenz<br>Age=44.0<br>Sex=female<br>SHAP=6.35",
-          "index=Hood, Mr. Ambrose Jr<br>Age=5.0<br>Sex=female<br>SHAP=-0.13",
-          "index=Ilett, Miss. Bertha<br>Age=-999.0<br>Sex=female<br>SHAP=-0.02",
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-          "index=Moran, Miss. Bertha<br>Age=-999.0<br>Sex=female<br>SHAP=-2.0",
-          "index=Barton, Mr. David John<br>Age=41.0<br>Sex=female<br>SHAP=6.32",
-          "index=Jussila, Miss. Katriina<br>Age=-999.0<br>Sex=female<br>SHAP=-4.52",
-          "index=Pekoniemi, Mr. Edvard<br>Age=24.0<br>Sex=female<br>SHAP=-0.28",
-          "index=Turpin, Mr. William John Robert<br>Age=33.0<br>Sex=female<br>SHAP=1.67",
-          "index=Moore, Mr. Leonard Charles<br>Age=19.0<br>Sex=female<br>SHAP=-0.79",
-          "index=Osen, Mr. Olaf Elon<br>Age=45.0<br>Sex=female<br>SHAP=0.92",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=33.0<br>Sex=female<br>SHAP=0.73",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=-999.0<br>Sex=female<br>SHAP=-0.2",
-          "index=Bateman, Rev. Robert James<br>Age=37.0<br>Sex=female<br>SHAP=1.11",
-          "index=Meo, Mr. Alfonzo<br>Age=36.0<br>Sex=female<br>SHAP=2.15",
-          "index=Cribb, Mr. John Hatfield<br>Age=30.0<br>Sex=female<br>SHAP=-0.62",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=7.0<br>Sex=female<br>SHAP=-0.33",
-          "index=Van der hoef, Mr. Wyckoff<br>Age=22.0<br>Sex=female<br>SHAP=-0.95",
-          "index=Sivola, Mr. Antti Wilhelm<br>Age=39.0<br>Sex=female<br>SHAP=1.82",
-          "index=Klasen, Mr. Klas Albin<br>Age=53.0<br>Sex=female<br>SHAP=-1.27",
-          "index=Rood, Mr. Hugh Roscoe<br>Age=-999.0<br>Sex=female<br>SHAP=-0.14",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=22.0<br>Sex=female<br>SHAP=-1.06",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=40.0<br>Sex=female<br>SHAP=3.34",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Age=26.0<br>Sex=female<br>SHAP=-0.88",
-          "index=Backstrom, Mr. Karl Alfred<br>Age=23.0<br>Sex=female<br>SHAP=-0.94",
-          "index=Blank, Mr. Henry<br>Age=18.0<br>Sex=female<br>SHAP=-0.47",
-          "index=Ali, Mr. Ahmed<br>Age=40.0<br>Sex=female<br>SHAP=1.1",
-          "index=Green, Mr. George Henry<br>Age=18.0<br>Sex=female<br>SHAP=-0.75",
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-          "index=Reed, Mr. James George<br>Age=51.0<br>Sex=female<br>SHAP=-1.2",
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-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=18.0<br>Sex=female<br>SHAP=-1.04"
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-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=20.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Palsson, Master. Gosta Leonard<br>Age=28.0<br>Sex=male<br>SHAP=-2.67",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=-999.0<br>Sex=male<br>SHAP=-0.08",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=45.0<br>Sex=male<br>SHAP=-1.12",
-          "index=Saundercock, Mr. William Henry<br>Age=4.0<br>Sex=male<br>SHAP=0.09",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=26.0<br>Sex=male<br>SHAP=-0.38",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=21.0<br>Sex=male<br>SHAP=-0.3",
-          "index=Glynn, Miss. Mary Agatha<br>Age=16.0<br>Sex=male<br>SHAP=-0.21",
-          "index=Meyer, Mr. Edgar Joseph<br>Age=29.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Kraeff, Mr. Theodor<br>Age=20.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Devaney, Miss. Margaret Delia<br>Age=46.0<br>Sex=male<br>SHAP=-0.51",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Rugg, Miss. Emily<br>Age=21.0<br>Sex=male<br>SHAP=2.44",
-          "index=Harris, Mr. Henry Birkhardt<br>Age=38.0<br>Sex=male<br>SHAP=0.51",
-          "index=Skoog, Master. Harald<br>Age=22.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Kink, Mr. Vincenz<br>Age=21.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Hood, Mr. Ambrose Jr<br>Age=29.0<br>Sex=male<br>SHAP=-0.25",
-          "index=Ilett, Miss. Bertha<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Ford, Mr. William Neal<br>Age=16.0<br>Sex=male<br>SHAP=-0.19",
-          "index=Christmann, Mr. Emil<br>Age=36.5<br>Sex=male<br>SHAP=1.94",
-          "index=Andreasson, Mr. Paul Edvin<br>Age=51.0<br>Sex=male<br>SHAP=0.22",
-          "index=Chaffee, Mr. Herbert Fuller<br>Age=55.5<br>Sex=male<br>SHAP=-0.16",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=44.0<br>Sex=male<br>SHAP=-0.29",
-          "index=White, Mr. Richard Frasar<br>Age=61.0<br>Sex=male<br>SHAP=-2.17",
-          "index=Rekic, Mr. Tido<br>Age=21.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Moran, Miss. Bertha<br>Age=18.0<br>Sex=male<br>SHAP=-0.19",
-          "index=Barton, Mr. David John<br>Age=-999.0<br>Sex=male<br>SHAP=1.52",
-          "index=Jussila, Miss. Katriina<br>Age=28.0<br>Sex=male<br>SHAP=-0.34",
-          "index=Pekoniemi, Mr. Edvard<br>Age=32.0<br>Sex=male<br>SHAP=-0.44",
-          "index=Turpin, Mr. William John Robert<br>Age=40.0<br>Sex=male<br>SHAP=4.3",
-          "index=Moore, Mr. Leonard Charles<br>Age=24.0<br>Sex=male<br>SHAP=-0.35",
-          "index=Osen, Mr. Olaf Elon<br>Age=51.0<br>Sex=male<br>SHAP=-0.08",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=33.0<br>Sex=male<br>SHAP=0.37",
-          "index=Bateman, Rev. Robert James<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Meo, Mr. Alfonzo<br>Age=62.0<br>Sex=male<br>SHAP=-3.21",
-          "index=Cribb, Mr. John Hatfield<br>Age=-999.0<br>Sex=male<br>SHAP=0.09",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=3.0<br>Sex=male<br>SHAP=-0.01",
-          "index=Van der hoef, Mr. Wyckoff<br>Age=-999.0<br>Sex=male<br>SHAP=1.52",
-          "index=Sivola, Mr. Antti Wilhelm<br>Age=36.0<br>Sex=male<br>SHAP=3.36",
-          "index=Klasen, Mr. Klas Albin<br>Age=-999.0<br>Sex=male<br>SHAP=-0.53",
-          "index=Rood, Mr. Hugh Roscoe<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=-999.0<br>Sex=male<br>SHAP=1.44",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=61.0<br>Sex=male<br>SHAP=-0.15",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Backstrom, Mr. Karl Alfred<br>Age=42.0<br>Sex=male<br>SHAP=0.41",
-          "index=Blank, Mr. Henry<br>Age=29.0<br>Sex=male<br>SHAP=-0.44",
-          "index=Ali, Mr. Ahmed<br>Age=19.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Green, Mr. George Henry<br>Age=27.0<br>Sex=male<br>SHAP=-0.1",
-          "index=Nenkoff, Mr. Christo<br>Age=19.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Asplund, Miss. Lillian Gertrud<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Harknett, Miss. Alice Phoebe<br>Age=1.0<br>Sex=male<br>SHAP=-1.58",
-          "index=Hunt, Mr. George Henry<br>Age=-999.0<br>Sex=male<br>SHAP=0.09",
-          "index=Reed, Mr. James George<br>Age=28.0<br>Sex=male<br>SHAP=-0.41",
-          "index=Stead, Mr. William Thomas<br>Age=39.0<br>Sex=male<br>SHAP=1.21",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Age=30.0<br>Sex=male<br>SHAP=-0.18",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Age=21.0<br>Sex=male<br>SHAP=-0.32",
-          "index=Smith, Mr. Thomas<br>Age=-999.0<br>Sex=male<br>SHAP=0.13",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Age=52.0<br>Sex=male<br>SHAP=-1.64",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Age=48.0<br>Sex=male<br>SHAP=-0.42",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Age=48.0<br>Sex=male<br>SHAP=0.31",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=22.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Smith, Mr. Richard William<br>Age=-999.0<br>Sex=male<br>SHAP=-1.07",
-          "index=Connolly, Miss. Kate<br>Age=25.0<br>Sex=male<br>SHAP=-4.35",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=21.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Levy, Mr. Rene Jacques<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Lewy, Mr. Ervin G<br>Age=24.0<br>Sex=male<br>SHAP=-0.35",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Age=18.0<br>Sex=male<br>SHAP=-1.15",
-          "index=Sage, Mr. George John Jr<br>Age=-999.0<br>Sex=male<br>SHAP=0.02",
-          "index=Nysveen, Mr. Johan Hansen<br>Age=-999.0<br>Sex=male<br>SHAP=-0.08",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=45.0<br>Sex=male<br>SHAP=0.97",
-          "index=Denkoff, Mr. Mitto<br>Age=32.0<br>Sex=male<br>SHAP=0.06",
-          "index=Burns, Miss. Elizabeth Margaret<br>Age=33.0<br>Sex=male<br>SHAP=0.45",
-          "index=Dimic, Mr. Jovan<br>Age=-999.0<br>Sex=male<br>SHAP=0.09",
-          "index=del Carlo, Mr. Sebastiano<br>Age=62.0<br>Sex=male<br>SHAP=0.51",
-          "index=Beavan, Mr. William Thomas<br>Age=19.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=36.0<br>Sex=male<br>SHAP=20.24",
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Robert James<br>Survival=0<br>shap=-0.100\", \"None=Meo, Mr. Alfonzo<br>Survival=0<br>shap=-0.100\", \"None=Cribb, Mr. John Hatfield<br>Survival=0<br>shap=-0.069\", \"None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Survival=1<br>shap=0.017\", \"None=Van der hoef, Mr. Wyckoff<br>Survival=0<br>shap=-1.905\", \"None=Sivola, Mr. Antti Wilhelm<br>Survival=0<br>shap=-0.084\", \"None=Klasen, Mr. Klas Albin<br>Survival=0<br>shap=-0.043\", \"None=Rood, Mr. Hugh Roscoe<br>Survival=0<br>shap=-0.224\", \"None=Andersen-Jensen, Miss. 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+      ]
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+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "explainer.plot_interactions_detailed(\"Sex\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Contributions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T16:02:41.911351Z",
+     "start_time": "2021-01-20T16:02:41.856171Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
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+          "Population<br>average",
+          "PassengerClass",
+          "Embarked",
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+          "Age",
+          "No_of_parents_plus_children_on_board",
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+         "name": "contribution",
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+          "Population<br>average=<BR>+32.78 $",
+          "PassengerClass=1<BR>+62.75 $",
+          "Embarked=Cherbourg<BR>+10.35 $",
+          "Sex=female<BR>+7.46 $",
+          "Age=38.0<BR>+7.29 $",
+          "No_of_parents_plus_children_on_board=0<BR>-4.75 $",
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-          0.086898183779718,
-          -0.9014735801552007,
-          -0.14562221175219,
-          -0.08286550942263587,
-          1.3635947341260353,
-          0.266507340470443,
-          -0.2920030991113654,
-          -1.0645643153860636,
-          1.6184332831061568,
-          -0.875608640189562,
-          -4.144595303754496,
-          -1.6441890229981209,
-          0.036103477161108545,
-          -0.19496894782277882,
-          0.2960117633943211,
-          -0.6931213579775495,
-          1.1548548871196083,
-          2.344970864127483,
-          -1.0029075361076274,
-          -0.4026457883678799,
-          0.21936994208140426,
-          0.086898183779718,
-          0.25030288058654127,
-          1.610586843433766,
-          -0.2920030991113654,
-          -0.2920030991113654,
-          -0.34228672880683764,
-          0.266507340470443,
-          -0.6554961512576867,
-          -0.030916511292118275,
-          -0.34228672880683764,
-          -0.19026761341941714,
-          0.7660460124401851,
-          -0.3494148800102339,
-          0.13886120414521502,
-          -0.4419435698760028,
-          0.5412915537638153,
-          1.7918169561500523,
-          -0.32041973632125254,
-          -0.2605011525966907,
-          2.0328295443327082,
-          -0.34975893527117985,
-          -0.0595146193245965,
-          -0.11560815985466014,
-          0.441462832029592,
-          3.0306123808768706,
-          1.4423534465041423,
-          -0.07811752154982794,
-          0.048619275766900415,
-          1.7646302554730513,
-          -0.4032724829063158,
-          -0.31024862344810694
+          32.78,
+          62.75,
+          10.35,
+          7.46,
+          7.29,
+          -4.75,
+          -3.98,
+          111.9
          ]
         }
        ],
        "layout": {
-        "hovermode": "closest",
-        "paper_bgcolor": "#fff",
+        "barmode": "stack",
+        "height": 600,
+        "margin": {
+         "b": 216,
+         "l": 50,
+         "pad": 4,
+         "r": 100,
+         "t": 50
+        },
         "plot_bgcolor": "#fff",
-        "showlegend": true,
+        "showlegend": false,
         "template": {
          "data": {
           "scatter": [
@@ -101339,24 +62075,20 @@
          }
         },
         "title": {
-         "text": "Dependence plot for Age"
-        },
-        "xaxis": {
-         "title": {
-          "text": "Age"
-         }
+         "text": "Contribution to prediction Fare = 111.9 $",
+         "x": 0.5
         },
         "yaxis": {
          "title": {
-          "text": "SHAP value ($)"
+          "text": "Predicted $"
          }
         }
        }
       },
       "text/html": [
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Bertha<br>Age=18.0<br>Sex=male<br>SHAP=-0.19\", \"index=Barton, Mr. David John<br>Age=-999.0<br>Sex=male<br>SHAP=1.52\", \"index=Jussila, Miss. Katriina<br>Age=28.0<br>Sex=male<br>SHAP=-0.34\", \"index=Pekoniemi, Mr. Edvard<br>Age=32.0<br>Sex=male<br>SHAP=-0.44\", \"index=Turpin, Mr. William John Robert<br>Age=40.0<br>Sex=male<br>SHAP=4.3\", \"index=Moore, Mr. Leonard Charles<br>Age=24.0<br>Sex=male<br>SHAP=-0.35\", \"index=Osen, Mr. Olaf Elon<br>Age=51.0<br>Sex=male<br>SHAP=-0.08\", \"index=Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Age=-999.0<br>Sex=male<br>SHAP=0.27\", \"index=Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Age=33.0<br>Sex=male<br>SHAP=0.37\", \"index=Bateman, Rev. Robert James<br>Age=-999.0<br>Sex=male<br>SHAP=0.27\", \"index=Meo, Mr. Alfonzo<br>Age=62.0<br>Sex=male<br>SHAP=-3.21\", \"index=Cribb, Mr. John Hatfield<br>Age=-999.0<br>Sex=male<br>SHAP=0.09\", \"index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=3.0<br>Sex=male<br>SHAP=-0.01\", \"index=Van der hoef, Mr. Wyckoff<br>Age=-999.0<br>Sex=male<br>SHAP=1.52\", \"index=Sivola, Mr. Antti Wilhelm<br>Age=36.0<br>Sex=male<br>SHAP=3.36\", \"index=Klasen, Mr. Klas Albin<br>Age=-999.0<br>Sex=male<br>SHAP=-0.53\", \"index=Rood, Mr. Hugh Roscoe<br>Age=-999.0<br>Sex=male<br>SHAP=0.27\", \"index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=-999.0<br>Sex=male<br>SHAP=1.44\", \"index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=61.0<br>Sex=male<br>SHAP=-0.15\", \"index=Vande Walle, Mr. Nestor Cyriel<br>Age=-999.0<br>Sex=male<br>SHAP=0.27\", \"index=Backstrom, Mr. Karl Alfred<br>Age=42.0<br>Sex=male<br>SHAP=0.41\", \"index=Blank, Mr. Henry<br>Age=29.0<br>Sex=male<br>SHAP=-0.44\", \"index=Ali, Mr. Ahmed<br>Age=19.0<br>Sex=male<br>SHAP=-0.4\", \"index=Green, Mr. George Henry<br>Age=27.0<br>Sex=male<br>SHAP=-0.1\", \"index=Nenkoff, Mr. Christo<br>Age=19.0<br>Sex=male<br>SHAP=-0.4\", \"index=Asplund, Miss. Lillian Gertrud<br>Age=-999.0<br>Sex=male<br>SHAP=0.27\", \"index=Harknett, Miss. Alice Phoebe<br>Age=1.0<br>Sex=male<br>SHAP=-1.58\", \"index=Hunt, Mr. George Henry<br>Age=-999.0<br>Sex=male<br>SHAP=0.09\", \"index=Reed, Mr. James George<br>Age=28.0<br>Sex=male<br>SHAP=-0.41\", \"index=Stead, Mr. William Thomas<br>Age=39.0<br>Sex=male<br>SHAP=1.21\", \"index=Thorne, Mrs. Gertrude Maybelle<br>Age=30.0<br>Sex=male<br>SHAP=-0.18\", \"index=Parrish, Mrs. (Lutie Davis)<br>Age=21.0<br>Sex=male<br>SHAP=-0.32\", \"index=Smith, Mr. Thomas<br>Age=-999.0<br>Sex=male<br>SHAP=0.13\", \"index=Asplund, Master. Edvin Rojj Felix<br>Age=52.0<br>Sex=male<br>SHAP=-1.64\", \"index=Healy, Miss. Hanora \\\"Nora\\\"<br>Age=48.0<br>Sex=male<br>SHAP=-0.42\", \"index=Andrews, Miss. Kornelia Theodosia<br>Age=48.0<br>Sex=male<br>SHAP=0.31\", \"index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=22.0<br>Sex=male<br>SHAP=-0.4\", \"index=Smith, Mr. Richard William<br>Age=-999.0<br>Sex=male<br>SHAP=-1.07\", \"index=Connolly, Miss. Kate<br>Age=25.0<br>Sex=male<br>SHAP=-4.35\", \"index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=21.0<br>Sex=male<br>SHAP=-0.4\", \"index=Levy, Mr. Rene Jacques<br>Age=-999.0<br>Sex=male<br>SHAP=0.27\", \"index=Lewy, Mr. Ervin G<br>Age=24.0<br>Sex=male<br>SHAP=-0.35\", \"index=Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Age=18.0<br>Sex=male<br>SHAP=-1.15\", \"index=Sage, Mr. George John Jr<br>Age=-999.0<br>Sex=male<br>SHAP=0.02\", \"index=Nysveen, Mr. Johan Hansen<br>Age=-999.0<br>Sex=male<br>SHAP=-0.08\", \"index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=45.0<br>Sex=male<br>SHAP=0.97\", \"index=Denkoff, Mr. Mitto<br>Age=32.0<br>Sex=male<br>SHAP=0.06\", \"index=Burns, Miss. Elizabeth Margaret<br>Age=33.0<br>Sex=male<br>SHAP=0.45\", \"index=Dimic, Mr. Jovan<br>Age=-999.0<br>Sex=male<br>SHAP=0.09\", \"index=del Carlo, Mr. Sebastiano<br>Age=62.0<br>Sex=male<br>SHAP=0.51\", \"index=Beavan, Mr. William Thomas<br>Age=19.0<br>Sex=male<br>SHAP=-0.4\", \"index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=36.0<br>Sex=male<br>SHAP=20.24\", \"index=Widener, Mr. Harry Elkins<br>Age=-999.0<br>Sex=male<br>SHAP=0.27\", \"index=Gustafsson, Mr. Karl Gideon<br>Age=-999.0<br>Sex=male<br>SHAP=-0.08\", \"index=Plotcharsky, Mr. Vasil<br>Age=49.0<br>Sex=male<br>SHAP=-1.78\", \"index=Goodwin, Master. Sidney Leonard<br>Age=35.0<br>Sex=male<br>SHAP=24.24\", \"index=Sadlier, Mr. Matthew<br>Age=36.0<br>Sex=male<br>SHAP=1.25\", \"index=Gustafsson, Mr. Johan Birger<br>Age=27.0<br>Sex=male<br>SHAP=-1.97\", \"index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=-999.0<br>Sex=male<br>SHAP=0.27\", \"index=Niskanen, Mr. Juha<br>Age=-999.0<br>Sex=male<br>SHAP=0.09\", \"index=Minahan, Miss. Daisy E<br>Age=27.0<br>Sex=male<br>SHAP=-0.9\", \"index=Matthews, Mr. William John<br>Age=26.0<br>Sex=male<br>SHAP=-0.15\", \"index=Charters, Mr. David<br>Age=51.0<br>Sex=male<br>SHAP=-0.08\", \"index=Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Age=32.0<br>Sex=male<br>SHAP=1.36\", \"index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=-999.0<br>Sex=male<br>SHAP=0.27\", \"index=Johannesen-Bratthammer, Mr. Bernt<br>Age=23.0<br>Sex=male<br>SHAP=-0.29\", \"index=Peuchen, Major. Arthur Godfrey<br>Age=47.0<br>Sex=male<br>SHAP=-1.06\", \"index=Anderson, Mr. Harry<br>Age=36.0<br>Sex=male<br>SHAP=1.62\", \"index=Milling, Mr. Jacob Christian<br>Age=31.0<br>Sex=male<br>SHAP=-0.88\", \"index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=27.0<br>Sex=male<br>SHAP=-4.14\", \"index=Karlsson, Mr. Nils August<br>Age=14.0<br>Sex=male<br>SHAP=-1.64\", \"index=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Age=14.0<br>Sex=male<br>SHAP=0.04\", \"index=Bishop, Mr. Dickinson H<br>Age=18.0<br>Sex=male<br>SHAP=-0.19\", \"index=Windelov, Mr. Einar<br>Age=42.0<br>Sex=male<br>SHAP=0.3\", \"index=Shellard, Mr. Frederick William<br>Age=26.0<br>Sex=male<br>SHAP=-0.69\", \"index=Svensson, Mr. Olof<br>Age=42.0<br>Sex=male<br>SHAP=1.15\", \"index=O'Sullivan, Miss. Bridget Mary<br>Age=-999.0<br>Sex=male<br>SHAP=2.34\", \"index=Laitinen, Miss. Kristina Sofia<br>Age=48.0<br>Sex=male<br>SHAP=-1.0\", \"index=Penasco y Castellana, Mr. Victor de Satode<br>Age=29.0<br>Sex=male<br>SHAP=-0.4\", \"index=Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Age=52.0<br>Sex=male<br>SHAP=0.22\", \"index=Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Age=-999.0<br>Sex=male<br>SHAP=0.09\", \"index=Kassem, Mr. Fared<br>Age=33.0<br>Sex=male<br>SHAP=0.25\", \"index=Cacic, Miss. Marija<br>Age=34.0<br>Sex=male<br>SHAP=1.61\", \"index=Hart, Miss. Eva Miriam<br>Age=23.0<br>Sex=male<br>SHAP=-0.29\", \"index=Butt, Major. Archibald Willingham<br>Age=23.0<br>Sex=male<br>SHAP=-0.29\", \"index=Beane, Mr. Edward<br>Age=28.5<br>Sex=male<br>SHAP=-0.34\", \"index=Goldsmith, Mr. Frank John<br>Age=-999.0<br>Sex=male<br>SHAP=0.27\", \"index=Ohman, Miss. Velin<br>Age=24.0<br>Sex=male<br>SHAP=-0.66\", \"index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=31.0<br>Sex=male<br>SHAP=-0.03\", \"index=Morrow, Mr. Thomas Rowan<br>Age=28.0<br>Sex=male<br>SHAP=-0.34\", \"index=Harris, Mr. George<br>Age=16.0<br>Sex=male<br>SHAP=-0.19\", \"index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=-999.0<br>Sex=male<br>SHAP=0.77\", \"index=Patchett, Mr. George<br>Age=24.0<br>Sex=male<br>SHAP=-0.35\", \"index=Ross, Mr. John Hugo<br>Age=-999.0<br>Sex=male<br>SHAP=0.14\", \"index=Murdlin, Mr. Joseph<br>Age=25.0<br>Sex=male<br>SHAP=-0.44\", \"index=Bourke, Miss. Mary<br>Age=46.0<br>Sex=male<br>SHAP=0.54\", \"index=Boulos, Mr. Hanna<br>Age=11.0<br>Sex=male<br>SHAP=1.79\", \"index=Duff Gordon, Sir. 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+       "<div>                            <div id=\"39c3e2ea-1ff0-4765-8546-dabbfa0160d7\" class=\"plotly-graph-div\" style=\"height:600px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"39c3e2ea-1ff0-4765-8546-dabbfa0160d7\")) {                    Plotly.newPlot(                        \"39c3e2ea-1ff0-4765-8546-dabbfa0160d7\",                        [{\"hoverinfo\": \"skip\", \"marker\": {\"color\": \"rgba(1,1,1, 0.0)\"}, \"name\": \"\", \"type\": \"bar\", \"x\": [\"Population<br>average\", \"PassengerClass\", \"Embarked\", \"Sex\", \"Age\", \"No_of_parents_plus_children_on_board\", \"Other features combined\", \"Final Prediction\"], \"y\": [0.0, 32.78, 95.53, 105.88, 113.34, 120.63, 115.88, 0.0]}, {\"hoverinfo\": \"text\", \"marker\": {\"color\": [\"rgba(230, 230, 30, 1.0)\", \"rgba(50, 200, 50, 1.0)\", \"rgba(50, 200, 50, 1.0)\", \"rgba(50, 200, 50, 1.0)\", \"rgba(50, 200, 50, 1.0)\", \"rgba(219, 64, 82, 0.7)\", \"rgba(219, 64, 82, 0.7)\", \"rgba(55, 128, 191, 0.7)\"], \"line\": {\"color\": [\"rgba(190, 190, 30, 1.0)\", \"rgba(40, 160, 50, 1.0)\", \"rgba(40, 160, 50, 1.0)\", \"rgba(40, 160, 50, 1.0)\", \"rgba(40, 160, 50, 1.0)\", \"rgba(219, 64, 82, 1.0)\", \"rgba(219, 64, 82, 1.0)\", \"rgba(55, 128, 191, 1.0)\"], \"width\": 2}}, \"name\": \"contribution\", \"text\": [\"Population<br>average=<BR>+32.78 $\", \"PassengerClass=1<BR>+62.75 $\", \"Embarked=Cherbourg<BR>+10.35 $\", \"Sex=female<BR>+7.46 $\", \"Age=38.0<BR>+7.29 $\", \"No_of_parents_plus_children_on_board=0<BR>-4.75 $\", \"Other features combined=<BR>-3.98 $\", \"Final Prediction=<BR>+111.9 $\"], \"type\": \"bar\", \"x\": [\"Population<br>average\", \"PassengerClass\", \"Embarked\", \"Sex\", \"Age\", \"No_of_parents_plus_children_on_board\", \"Other features combined\", \"Final Prediction\"], \"y\": [32.78, 62.75, 10.35, 7.46, 7.29, -4.75, -3.98, 111.9]}],                        {\"barmode\": \"stack\", \"height\": 600, \"margin\": {\"b\": 216, \"l\": 50, \"pad\": 4, \"r\": 100, \"t\": 50}, \"plot_bgcolor\": \"#fff\", \"showlegend\": false, \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Contribution to prediction Fare = 111.9 $\", \"x\": 0.5}, \"yaxis\": {\"title\": {\"text\": \"Predicted $\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('8cf0856e-7f0a-49c8-9077-deb2f2b0d1d0');\n",
+       "var gd = document.getElementById('39c3e2ea-1ff0-4765-8546-dabbfa0160d7');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -101386,26 +62118,27 @@
     }
    ],
    "source": [
-    "explainer.plot_dependence(\", color_col=\"Sex\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### color by PassengerClass"
+    "index = 0 # explain prediction for first row of X_test\n",
+    "explainer.plot_contributions(index, topx=5, round=2)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 59,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:47:23.905665Z",
-     "start_time": "2020-10-12T08:47:23.891104Z"
+     "end_time": "2021-01-20T16:02:48.639835Z",
+     "start_time": "2021-01-20T16:02:48.575364Z"
     }
    },
    "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Cumings, Mrs. John Bradley (Florence Briggs Thayer)\n"
+     ]
+    },
     {
      "data": {
       "application/vnd.plotly.v1+json": {
@@ -101413,434 +62146,422 @@
         "plotlyServerURL": "https://plot.ly"
        },
        "data": [
+        {
+         "hoverinfo": "skip",
+         "marker": {
+          "color": "rgba(1,1,1, 0.0)"
+         },
+         "name": "",
+         "orientation": "h",
+         "type": "bar",
+         "x": [
+          0,
+          49.15,
+          38.8,
+          31.34,
+          24.05,
+          22.09,
+          22.09,
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+          32.78,
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+         ],
+         "y": [
+          "Final Prediction",
+          "PassengerClass",
+          "Embarked",
+          "Sex",
+          "Age",
+          "Survival",
+          "Other features combined",
+          "No_of_siblings_plus_spouses_on_board",
+          "Deck",
+          "No_of_parents_plus_children_on_board",
+          "Population<br>average"
+         ]
+        },
         {
          "hoverinfo": "text",
          "marker": {
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+           "rgba(50, 200, 50, 1.0)",
+           "rgba(50, 200, 50, 1.0)",
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+           "rgba(219, 64, 82, 0.7)",
+           "rgba(219, 64, 82, 0.7)",
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-           "title": {
-            "text": "PassengerClass"
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+          "line": {
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+            "rgba(55, 128, 191, 1.0)",
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+            "rgba(40, 160, 50, 1.0)",
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+            "rgba(40, 160, 50, 1.0)",
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+           "width": 2
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+         },
+         "name": "contribution",
+         "orientation": "h",
+         "text": [
+          "Population<br>average=<BR>+32.78 $",
+          "No_of_parents_plus_children_on_board=0<BR>-4.75 $",
+          "Deck=C<BR>-4.13 $",
+          "No_of_siblings_plus_spouses_on_board=1<BR>-1.81 $",
+          "Other features combined=<BR>0.0 $",
+          "Survival=1<BR>+1.96 $",
+          "Age=38.0<BR>+7.29 $",
+          "Sex=female<BR>+7.46 $",
+          "Embarked=Cherbourg<BR>+10.35 $",
+          "PassengerClass=1<BR>+62.75 $",
+          "Final Prediction=<BR>+111.9 $"
+         ],
+         "type": "bar",
+         "x": [
+          111.9,
+          62.75,
+          10.35,
+          7.46,
+          7.29,
+          1.96,
+          0,
+          -1.81,
+          -4.13,
+          -4.75,
+          32.78
+         ],
+         "y": [
+          "Final Prediction",
+          "PassengerClass",
+          "Embarked",
+          "Sex",
+          "Age",
+          "Survival",
+          "Other features combined",
+          "No_of_siblings_plus_spouses_on_board",
+          "Deck",
+          "No_of_parents_plus_children_on_board",
+          "Population<br>average"
+         ]
+        }
+       ],
+       "layout": {
+        "barmode": "stack",
+        "height": 485,
+        "margin": {
+         "b": 50,
+         "l": 252,
+         "pad": 4,
+         "r": 100,
+         "t": 50
+        },
+        "plot_bgcolor": "#fff",
+        "showlegend": false,
+        "template": {
+         "data": {
+          "scatter": [
+           {
+            "type": "scatter"
+           }
+          ]
+         }
+        },
+        "title": {
+         "text": "Contribution to prediction Fare = 111.9 $",
+         "x": 0.5
+        },
+        "xaxis": {
+         "title": {
+          "text": "Predicted $"
+         }
+        }
+       }
+      },
+      "text/html": [
+       "<div>                            <div id=\"de996ed7-6bbe-4db5-b93c-3837c59565d6\" class=\"plotly-graph-div\" style=\"height:485px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"de996ed7-6bbe-4db5-b93c-3837c59565d6\")) {                    Plotly.newPlot(                        \"de996ed7-6bbe-4db5-b93c-3837c59565d6\",                        [{\"hoverinfo\": \"skip\", \"marker\": {\"color\": \"rgba(1,1,1, 0.0)\"}, \"name\": \"\", \"orientation\": \"h\", \"type\": \"bar\", \"x\": [0.0, 49.15, 38.8, 31.34, 24.05, 22.09, 22.09, 23.9, 28.03, 32.78, 0.0], \"y\": [\"Final Prediction\", \"PassengerClass\", \"Embarked\", \"Sex\", \"Age\", \"Survival\", \"Other features combined\", \"No_of_siblings_plus_spouses_on_board\", \"Deck\", \"No_of_parents_plus_children_on_board\", \"Population<br>average\"]}, {\"hoverinfo\": \"text\", \"marker\": {\"color\": [\"rgba(55, 128, 191, 0.7)\", \"rgba(50, 200, 50, 1.0)\", \"rgba(50, 200, 50, 1.0)\", \"rgba(50, 200, 50, 1.0)\", \"rgba(50, 200, 50, 1.0)\", \"rgba(50, 200, 50, 1.0)\", \"rgba(219, 64, 82, 0.7)\", \"rgba(219, 64, 82, 0.7)\", \"rgba(219, 64, 82, 0.7)\", \"rgba(219, 64, 82, 0.7)\", \"rgba(230, 230, 30, 1.0)\"], \"line\": {\"color\": [\"rgba(55, 128, 191, 1.0)\", \"rgba(40, 160, 50, 1.0)\", \"rgba(40, 160, 50, 1.0)\", \"rgba(40, 160, 50, 1.0)\", \"rgba(40, 160, 50, 1.0)\", \"rgba(40, 160, 50, 1.0)\", \"rgba(219, 64, 82, 1.0)\", \"rgba(219, 64, 82, 1.0)\", \"rgba(219, 64, 82, 1.0)\", \"rgba(219, 64, 82, 1.0)\", \"rgba(190, 190, 30, 1.0)\"], \"width\": 2}}, \"name\": \"contribution\", \"orientation\": \"h\", \"text\": [\"Population<br>average=<BR>+32.78 $\", \"No_of_parents_plus_children_on_board=0<BR>-4.75 $\", \"Deck=C<BR>-4.13 $\", \"No_of_siblings_plus_spouses_on_board=1<BR>-1.81 $\", \"Other features combined=<BR>0.0 $\", \"Survival=1<BR>+1.96 $\", \"Age=38.0<BR>+7.29 $\", \"Sex=female<BR>+7.46 $\", \"Embarked=Cherbourg<BR>+10.35 $\", \"PassengerClass=1<BR>+62.75 $\", \"Final Prediction=<BR>+111.9 $\"], \"type\": \"bar\", \"x\": [111.9, 62.75, 10.35, 7.46, 7.29, 1.96, 0.0, -1.81, -4.13, -4.75, 32.78], \"y\": [\"Final Prediction\", \"PassengerClass\", \"Embarked\", \"Sex\", \"Age\", \"Survival\", \"Other features combined\", \"No_of_siblings_plus_spouses_on_board\", \"Deck\", \"No_of_parents_plus_children_on_board\", \"Population<br>average\"]}],                        {\"barmode\": \"stack\", \"height\": 485, \"margin\": {\"b\": 50, \"l\": 252, \"pad\": 4, \"r\": 100, \"t\": 50}, \"plot_bgcolor\": \"#fff\", \"showlegend\": false, \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Contribution to prediction Fare = 111.9 $\", \"x\": 0.5}, \"xaxis\": {\"title\": {\"text\": \"Predicted $\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('de996ed7-6bbe-4db5-b93c-3837c59565d6');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "name = test_names[0] # explainer prediction for name\n",
+    "print(name)\n",
+    "explainer.plot_contributions(name, sort='low-to-high', orientation='horizontal')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Shap dependence plots"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T16:02:53.856438Z",
+     "start_time": "2021-01-20T16:02:53.842598Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "hoverinfo": "text",
+         "marker": {
           "opacity": 0.6,
-          "showscale": true,
           "size": 7
          },
          "mode": "markers",
          "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=38.0<br>PassengerClass=1<br>SHAP=7.56",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=35.0<br>PassengerClass=1<br>SHAP=6.13",
-          "index=Palsson, Master. Gosta Leonard<br>Age=2.0<br>PassengerClass=3<br>SHAP=0.11",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=27.0<br>PassengerClass=3<br>SHAP=-0.65",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>PassengerClass=2<br>SHAP=-0.91",
-          "index=Saundercock, Mr. William Henry<br>Age=20.0<br>PassengerClass=3<br>SHAP=-0.4",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=14.0<br>PassengerClass=3<br>SHAP=0.09",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=38.0<br>PassengerClass=3<br>SHAP=0.75",
-          "index=Glynn, Miss. Mary Agatha<br>Age=nan<br>PassengerClass=3<br>SHAP=-0.35",
-          "index=Meyer, Mr. Edgar Joseph<br>Age=28.0<br>PassengerClass=1<br>SHAP=-2.67",
-          "index=Kraeff, Mr. Theodor<br>Age=nan<br>PassengerClass=3<br>SHAP=-0.08",
-          "index=Devaney, Miss. Margaret Delia<br>Age=19.0<br>PassengerClass=3<br>SHAP=-0.89",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=18.0<br>PassengerClass=3<br>SHAP=-0.84",
-          "index=Rugg, Miss. Emily<br>Age=21.0<br>PassengerClass=2<br>SHAP=-0.79",
-          "index=Harris, Mr. Henry Birkhardt<br>Age=45.0<br>PassengerClass=1<br>SHAP=-1.12",
-          "index=Skoog, Master. Harald<br>Age=4.0<br>PassengerClass=3<br>SHAP=0.09",
-          "index=Kink, Mr. Vincenz<br>Age=26.0<br>PassengerClass=3<br>SHAP=-0.38",
-          "index=Hood, Mr. Ambrose Jr<br>Age=21.0<br>PassengerClass=2<br>SHAP=-0.3",
-          "index=Ilett, Miss. Bertha<br>Age=17.0<br>PassengerClass=2<br>SHAP=-0.16",
-          "index=Ford, Mr. William Neal<br>Age=16.0<br>PassengerClass=3<br>SHAP=-0.21",
-          "index=Christmann, Mr. Emil<br>Age=29.0<br>PassengerClass=3<br>SHAP=-0.4",
-          "index=Andreasson, Mr. Paul Edvin<br>Age=20.0<br>PassengerClass=3<br>SHAP=-0.4",
-          "index=Chaffee, Mr. Herbert Fuller<br>Age=46.0<br>PassengerClass=1<br>SHAP=-0.51",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27",
-          "index=White, Mr. Richard Frasar<br>Age=21.0<br>PassengerClass=1<br>SHAP=2.44",
-          "index=Rekic, Mr. Tido<br>Age=38.0<br>PassengerClass=3<br>SHAP=0.51",
-          "index=Moran, Miss. Bertha<br>Age=nan<br>PassengerClass=3<br>SHAP=0.38",
-          "index=Barton, Mr. David John<br>Age=22.0<br>PassengerClass=3<br>SHAP=-0.4",
-          "index=Jussila, Miss. Katriina<br>Age=20.0<br>PassengerClass=3<br>SHAP=-0.98",
-          "index=Pekoniemi, Mr. Edvard<br>Age=21.0<br>PassengerClass=3<br>SHAP=-0.4",
-          "index=Turpin, Mr. William John Robert<br>Age=29.0<br>PassengerClass=2<br>SHAP=-0.25",
-          "index=Moore, Mr. Leonard Charles<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27",
-          "index=Osen, Mr. Olaf Elon<br>Age=16.0<br>PassengerClass=3<br>SHAP=-0.19",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=9.0<br>PassengerClass=3<br>SHAP=-0.03",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=36.5<br>PassengerClass=2<br>SHAP=1.94",
-          "index=Bateman, Rev. Robert James<br>Age=51.0<br>PassengerClass=2<br>SHAP=0.22",
-          "index=Meo, Mr. Alfonzo<br>Age=55.5<br>PassengerClass=3<br>SHAP=-0.16",
-          "index=Cribb, Mr. John Hatfield<br>Age=44.0<br>PassengerClass=3<br>SHAP=-0.29",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=nan<br>PassengerClass=1<br>SHAP=0.78",
-          "index=Van der hoef, Mr. Wyckoff<br>Age=61.0<br>PassengerClass=1<br>SHAP=-2.17",
-          "index=Sivola, Mr. Antti Wilhelm<br>Age=21.0<br>PassengerClass=3<br>SHAP=-0.4",
-          "index=Klasen, Mr. Klas Albin<br>Age=18.0<br>PassengerClass=3<br>SHAP=-0.19",
-          "index=Rood, Mr. Hugh Roscoe<br>Age=nan<br>PassengerClass=1<br>SHAP=1.52",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=19.0<br>PassengerClass=3<br>SHAP=-1.14",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>PassengerClass=1<br>SHAP=6.35",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>PassengerClass=3<br>SHAP=-0.34",
-          "index=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>PassengerClass=3<br>SHAP=-0.44",
-          "index=Blank, Mr. Henry<br>Age=40.0<br>PassengerClass=1<br>SHAP=4.3",
-          "index=Ali, Mr. Ahmed<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.35",
-          "index=Green, Mr. George Henry<br>Age=51.0<br>PassengerClass=3<br>SHAP=-0.08",
-          "index=Nenkoff, Mr. Christo<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27",
-          "index=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>PassengerClass=3<br>SHAP=-0.13",
-          "index=Harknett, Miss. Alice Phoebe<br>Age=nan<br>PassengerClass=3<br>SHAP=-0.02",
-          "index=Hunt, Mr. George Henry<br>Age=33.0<br>PassengerClass=2<br>SHAP=0.37",
-          "index=Reed, Mr. James George<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27",
-          "index=Stead, Mr. William Thomas<br>Age=62.0<br>PassengerClass=1<br>SHAP=-3.21",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Age=nan<br>PassengerClass=1<br>SHAP=-6.2",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>PassengerClass=2<br>SHAP=0.73",
-          "index=Smith, Mr. Thomas<br>Age=nan<br>PassengerClass=3<br>SHAP=0.09",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>PassengerClass=3<br>SHAP=-0.01",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Age=nan<br>PassengerClass=3<br>SHAP=-0.35",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>PassengerClass=1<br>SHAP=-1.48",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>PassengerClass=3<br>SHAP=2.22",
-          "index=Smith, Mr. Richard William<br>Age=nan<br>PassengerClass=1<br>SHAP=1.52",
-          "index=Connolly, Miss. Kate<br>Age=22.0<br>PassengerClass=3<br>SHAP=-0.88",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>PassengerClass=1<br>SHAP=-3.6",
-          "index=Levy, Mr. Rene Jacques<br>Age=36.0<br>PassengerClass=2<br>SHAP=3.36",
-          "index=Lewy, Mr. Ervin G<br>Age=nan<br>PassengerClass=1<br>SHAP=-0.53",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27",
-          "index=Sage, Mr. George John Jr<br>Age=nan<br>PassengerClass=3<br>SHAP=1.44",
-          "index=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>PassengerClass=3<br>SHAP=-0.15",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=nan<br>PassengerClass=1<br>SHAP=-2.0",
-          "index=Denkoff, Mr. Mitto<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27",
-          "index=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>PassengerClass=1<br>SHAP=6.32",
-          "index=Dimic, Mr. Jovan<br>Age=42.0<br>PassengerClass=3<br>SHAP=0.41",
-          "index=del Carlo, Mr. Sebastiano<br>Age=29.0<br>PassengerClass=2<br>SHAP=-0.44",
-          "index=Beavan, Mr. William Thomas<br>Age=19.0<br>PassengerClass=3<br>SHAP=-0.4",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=nan<br>PassengerClass=1<br>SHAP=-4.52",
-          "index=Widener, Mr. Harry Elkins<br>Age=27.0<br>PassengerClass=1<br>SHAP=-0.1",
-          "index=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>PassengerClass=3<br>SHAP=-0.4",
-          "index=Plotcharsky, Mr. Vasil<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27",
-          "index=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>PassengerClass=3<br>SHAP=-1.58",
-          "index=Sadlier, Mr. Matthew<br>Age=nan<br>PassengerClass=3<br>SHAP=0.09",
-          "index=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>PassengerClass=3<br>SHAP=-0.41",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.28",
-          "index=Niskanen, Mr. Juha<br>Age=39.0<br>PassengerClass=3<br>SHAP=1.21",
-          "index=Minahan, Miss. Daisy E<br>Age=33.0<br>PassengerClass=1<br>SHAP=1.67",
-          "index=Matthews, Mr. William John<br>Age=30.0<br>PassengerClass=2<br>SHAP=-0.18",
-          "index=Charters, Mr. David<br>Age=21.0<br>PassengerClass=3<br>SHAP=-0.32",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=19.0<br>PassengerClass=2<br>SHAP=-0.79",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>PassengerClass=2<br>SHAP=0.92",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>PassengerClass=3<br>SHAP=0.13",
-          "index=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>PassengerClass=1<br>SHAP=-1.64",
-          "index=Anderson, Mr. Harry<br>Age=48.0<br>PassengerClass=1<br>SHAP=-0.42",
-          "index=Milling, Mr. Jacob Christian<br>Age=48.0<br>PassengerClass=2<br>SHAP=0.31",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>PassengerClass=2<br>SHAP=0.73",
-          "index=Karlsson, Mr. Nils August<br>Age=22.0<br>PassengerClass=3<br>SHAP=-0.4",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Age=nan<br>PassengerClass=2<br>SHAP=-1.07",
-          "index=Bishop, Mr. Dickinson H<br>Age=25.0<br>PassengerClass=1<br>SHAP=-4.35",
-          "index=Windelov, Mr. Einar<br>Age=21.0<br>PassengerClass=3<br>SHAP=-0.4",
-          "index=Shellard, Mr. Frederick William<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27",
-          "index=Svensson, Mr. Olof<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.35",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>PassengerClass=3<br>SHAP=-0.2",
-          "index=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>PassengerClass=3<br>SHAP=1.11",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>PassengerClass=1<br>SHAP=-1.15",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=nan<br>PassengerClass=1<br>SHAP=0.02",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=36.0<br>PassengerClass=2<br>SHAP=2.15",
-          "index=Kassem, Mr. Fared<br>Age=nan<br>PassengerClass=3<br>SHAP=-0.08",
-          "index=Cacic, Miss. Marija<br>Age=30.0<br>PassengerClass=3<br>SHAP=-0.62",
-          "index=Hart, Miss. Eva Miriam<br>Age=7.0<br>PassengerClass=2<br>SHAP=-0.33",
-          "index=Butt, Major. Archibald Willingham<br>Age=45.0<br>PassengerClass=1<br>SHAP=0.97",
-          "index=Beane, Mr. Edward<br>Age=32.0<br>PassengerClass=2<br>SHAP=0.06",
-          "index=Goldsmith, Mr. Frank John<br>Age=33.0<br>PassengerClass=3<br>SHAP=0.45",
-          "index=Ohman, Miss. Velin<br>Age=22.0<br>PassengerClass=3<br>SHAP=-0.95",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>PassengerClass=1<br>SHAP=1.82",
-          "index=Morrow, Mr. Thomas Rowan<br>Age=nan<br>PassengerClass=3<br>SHAP=0.09",
-          "index=Harris, Mr. George<br>Age=62.0<br>PassengerClass=2<br>SHAP=0.51",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>PassengerClass=1<br>SHAP=-1.27",
-          "index=Patchett, Mr. George<br>Age=19.0<br>PassengerClass=3<br>SHAP=-0.4",
-          "index=Ross, Mr. John Hugo<br>Age=36.0<br>PassengerClass=1<br>SHAP=20.24",
-          "index=Murdlin, Mr. Joseph<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27",
-          "index=Bourke, Miss. Mary<br>Age=nan<br>PassengerClass=3<br>SHAP=-0.14",
-          "index=Boulos, Mr. Hanna<br>Age=nan<br>PassengerClass=3<br>SHAP=-0.08",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Age=49.0<br>PassengerClass=1<br>SHAP=-1.78",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=35.0<br>PassengerClass=1<br>SHAP=24.24",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>PassengerClass=3<br>SHAP=1.25",
-          "index=Daniel, Mr. Robert Williams<br>Age=27.0<br>PassengerClass=1<br>SHAP=-1.97",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>PassengerClass=2<br>SHAP=-1.06",
-          "index=Shutes, Miss. Elizabeth W<br>Age=40.0<br>PassengerClass=1<br>SHAP=3.34",
-          "index=Jardin, Mr. Jose Neto<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27",
-          "index=Horgan, Mr. John<br>Age=nan<br>PassengerClass=3<br>SHAP=0.09",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>PassengerClass=3<br>SHAP=-0.88",
-          "index=Yasbeck, Mr. Antoni<br>Age=27.0<br>PassengerClass=3<br>SHAP=-0.9",
-          "index=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>PassengerClass=3<br>SHAP=-0.15",
-          "index=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>PassengerClass=3<br>SHAP=-0.08",
-          "index=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>PassengerClass=1<br>SHAP=1.36",
-          "index=Willey, Mr. Edward<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>PassengerClass=3<br>SHAP=-0.94",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Age=18.0<br>PassengerClass=3<br>SHAP=-0.47",
-          "index=Eitemiller, Mr. George Floyd<br>Age=23.0<br>PassengerClass=2<br>SHAP=-0.29",
-          "index=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>PassengerClass=1<br>SHAP=-1.06",
-          "index=Coleff, Mr. Peju<br>Age=36.0<br>PassengerClass=3<br>SHAP=1.62",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>PassengerClass=2<br>SHAP=1.1",
-          "index=Davidson, Mr. Thornton<br>Age=31.0<br>PassengerClass=1<br>SHAP=-0.88",
-          "index=Turja, Miss. Anna Sofia<br>Age=18.0<br>PassengerClass=3<br>SHAP=-0.75",
-          "index=Hassab, Mr. Hammad<br>Age=27.0<br>PassengerClass=1<br>SHAP=-4.14",
-          "index=Goodwin, Mr. Charles Edward<br>Age=14.0<br>PassengerClass=3<br>SHAP=-1.64",
-          "index=Panula, Mr. Jaako Arnold<br>Age=14.0<br>PassengerClass=3<br>SHAP=0.04",
-          "index=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>PassengerClass=3<br>SHAP=-0.19",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>PassengerClass=3<br>SHAP=0.3",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>PassengerClass=1<br>SHAP=-3.47",
-          "index=Hansen, Mr. Henrik Juul<br>Age=26.0<br>PassengerClass=3<br>SHAP=-0.69",
-          "index=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>PassengerClass=1<br>SHAP=1.15",
-          "index=Klaber, Mr. Herman<br>Age=nan<br>PassengerClass=1<br>SHAP=2.34",
-          "index=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>PassengerClass=1<br>SHAP=-1.0",
-          "index=Larsson, Mr. August Viktor<br>Age=29.0<br>PassengerClass=3<br>SHAP=-0.4",
-          "index=Greenberg, Mr. Samuel<br>Age=52.0<br>PassengerClass=2<br>SHAP=0.22",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Age=27.0<br>PassengerClass=2<br>SHAP=-0.35",
-          "index=McEvoy, Mr. Michael<br>Age=nan<br>PassengerClass=3<br>SHAP=0.09",
-          "index=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>PassengerClass=3<br>SHAP=0.25",
-          "index=Gillespie, Mr. William Henry<br>Age=34.0<br>PassengerClass=2<br>SHAP=1.61",
-          "index=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>PassengerClass=1<br>SHAP=-2.88",
-          "index=Berriman, Mr. William John<br>Age=23.0<br>PassengerClass=2<br>SHAP=-0.29",
-          "index=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>PassengerClass=2<br>SHAP=-0.29",
-          "index=Williams, Mr. Leslie<br>Age=28.5<br>PassengerClass=3<br>SHAP=-0.34",
-          "index=Ivanoff, Mr. Kanio<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27",
-          "index=McNamee, Mr. Neal<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.66",
-          "index=Connaghton, Mr. Michael<br>Age=31.0<br>PassengerClass=3<br>SHAP=-0.03",
-          "index=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>PassengerClass=3<br>SHAP=-0.34",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>PassengerClass=1<br>SHAP=1.34",
-          "index=Eklund, Mr. Hans Linus<br>Age=16.0<br>PassengerClass=3<br>SHAP=-0.19",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>PassengerClass=1<br>SHAP=-1.2",
-          "index=Moran, Mr. Daniel J<br>Age=nan<br>PassengerClass=3<br>SHAP=0.77",
-          "index=Lievens, Mr. Rene Aime<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.35",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>PassengerClass=1<br>SHAP=2.68",
-          "index=Ayoub, Miss. Banoura<br>Age=13.0<br>PassengerClass=3<br>SHAP=-0.54",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>PassengerClass=1<br>SHAP=-2.06",
-          "index=Johnston, Mr. Andrew G<br>Age=nan<br>PassengerClass=3<br>SHAP=0.14",
-          "index=Ali, Mr. William<br>Age=25.0<br>PassengerClass=3<br>SHAP=-0.44",
-          "index=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>PassengerClass=3<br>SHAP=-0.75",
-          "index=Guggenheim, Mr. Benjamin<br>Age=46.0<br>PassengerClass=1<br>SHAP=0.54",
-          "index=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>PassengerClass=1<br>SHAP=0.47",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>PassengerClass=2<br>SHAP=-0.1",
-          "index=Carter, Master. William Thornton II<br>Age=11.0<br>PassengerClass=1<br>SHAP=1.79",
-          "index=Thomas, Master. Assad Alexander<br>Age=0.42<br>PassengerClass=3<br>SHAP=-0.32",
-          "index=Johansson, Mr. Karl Johan<br>Age=31.0<br>PassengerClass=3<br>SHAP=-0.26",
-          "index=Slemen, Mr. Richard James<br>Age=35.0<br>PassengerClass=2<br>SHAP=2.03",
-          "index=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>PassengerClass=3<br>SHAP=-0.35",
-          "index=McCormack, Mr. Thomas Joseph<br>Age=nan<br>PassengerClass=3<br>SHAP=-0.06",
-          "index=Richards, Master. George Sibley<br>Age=0.83<br>PassengerClass=2<br>SHAP=-0.12",
-          "index=Mudd, Mr. Thomas Charles<br>Age=16.0<br>PassengerClass=2<br>SHAP=0.44",
-          "index=Lemberopolous, Mr. Peter L<br>Age=34.5<br>PassengerClass=3<br>SHAP=3.03",
-          "index=Sage, Mr. Douglas Bullen<br>Age=nan<br>PassengerClass=3<br>SHAP=1.44",
-          "index=Boulos, Miss. Nourelain<br>Age=9.0<br>PassengerClass=3<br>SHAP=-0.29",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>PassengerClass=3<br>SHAP=-1.04",
-          "index=Razi, Mr. Raihed<br>Age=nan<br>PassengerClass=3<br>SHAP=-0.08",
-          "index=Johnson, Master. Harold Theodor<br>Age=4.0<br>PassengerClass=3<br>SHAP=0.05",
-          "index=Carlsson, Mr. Frans Olof<br>Age=33.0<br>PassengerClass=1<br>SHAP=1.76",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>PassengerClass=3<br>SHAP=-0.4",
-          "index=Montvila, Rev. Juozas<br>Age=27.0<br>PassengerClass=2<br>SHAP=-0.31"
-         ],
-         "type": "scatter",
+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=38.0<br>SHAP=7.294",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=35.0<br>SHAP=5.299",
+          "None=Palsson, Master. Gosta Leonard<br>Age=2.0<br>SHAP=0.491",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=27.0<br>SHAP=-0.329",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>SHAP=-0.299",
+          "None=Saundercock, Mr. William Henry<br>Age=20.0<br>SHAP=-0.011",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=14.0<br>SHAP=0.184",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=38.0<br>SHAP=0.435",
+          "None=Glynn, Miss. Mary Agatha<br>Age=-999.0<br>SHAP=-0.108",
+          "None=Meyer, Mr. Edgar Joseph<br>Age=28.0<br>SHAP=-2.582",
+          "None=Kraeff, Mr. Theodor<br>Age=-999.0<br>SHAP=0.121",
+          "None=Devaney, Miss. Margaret Delia<br>Age=19.0<br>SHAP=-0.555",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=18.0<br>SHAP=-0.280",
+          "None=Rugg, Miss. Emily<br>Age=21.0<br>SHAP=-0.366",
+          "None=Harris, Mr. Henry Birkhardt<br>Age=45.0<br>SHAP=-1.571",
+          "None=Skoog, Master. Harald<br>Age=4.0<br>SHAP=0.357",
+          "None=Kink, Mr. Vincenz<br>Age=26.0<br>SHAP=-0.062",
+          "None=Hood, Mr. Ambrose Jr<br>Age=21.0<br>SHAP=0.018",
+          "None=Ilett, Miss. Bertha<br>Age=17.0<br>SHAP=0.464",
+          "None=Ford, Mr. William Neal<br>Age=16.0<br>SHAP=0.135",
+          "None=Christmann, Mr. Emil<br>Age=29.0<br>SHAP=-0.252",
+          "None=Andreasson, Mr. Paul Edvin<br>Age=20.0<br>SHAP=-0.011",
+          "None=Chaffee, Mr. Herbert Fuller<br>Age=46.0<br>SHAP=-0.616",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=-999.0<br>SHAP=0.343",
+          "None=White, Mr. Richard Frasar<br>Age=21.0<br>SHAP=2.686",
+          "None=Rekic, Mr. Tido<br>Age=38.0<br>SHAP=0.540",
+          "None=Moran, Miss. Bertha<br>Age=-999.0<br>SHAP=-0.107",
+          "None=Barton, Mr. David John<br>Age=22.0<br>SHAP=-0.023",
+          "None=Jussila, Miss. Katriina<br>Age=20.0<br>SHAP=-0.337",
+          "None=Pekoniemi, Mr. Edvard<br>Age=21.0<br>SHAP=-0.026",
+          "None=Turpin, Mr. William John Robert<br>Age=29.0<br>SHAP=-0.271",
+          "None=Moore, Mr. Leonard Charles<br>Age=-999.0<br>SHAP=0.343",
+          "None=Osen, Mr. Olaf Elon<br>Age=16.0<br>SHAP=0.131",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=9.0<br>SHAP=0.286",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=36.5<br>SHAP=1.011",
+          "None=Bateman, Rev. Robert James<br>Age=51.0<br>SHAP=0.320",
+          "None=Meo, Mr. Alfonzo<br>Age=55.5<br>SHAP=0.012",
+          "None=Cribb, Mr. John Hatfield<br>Age=44.0<br>SHAP=0.058",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=-999.0<br>SHAP=3.755",
+          "None=Van der hoef, Mr. Wyckoff<br>Age=61.0<br>SHAP=-2.261",
+          "None=Sivola, Mr. Antti Wilhelm<br>Age=21.0<br>SHAP=-0.026",
+          "None=Klasen, Mr. Klas Albin<br>Age=18.0<br>SHAP=0.107",
+          "None=Rood, Mr. Hugh Roscoe<br>Age=-999.0<br>SHAP=1.759",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=19.0<br>SHAP=-0.452",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>SHAP=5.828",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>SHAP=0.069",
+          "None=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>SHAP=-0.179",
+          "None=Blank, Mr. Henry<br>Age=40.0<br>SHAP=3.683",
+          "None=Ali, Mr. Ahmed<br>Age=24.0<br>SHAP=-0.024",
+          "None=Green, Mr. George Henry<br>Age=51.0<br>SHAP=0.236",
+          "None=Nenkoff, Mr. Christo<br>Age=-999.0<br>SHAP=0.343",
+          "None=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>SHAP=0.194",
+          "None=Harknett, Miss. Alice Phoebe<br>Age=-999.0<br>SHAP=0.170",
+          "None=Hunt, Mr. George Henry<br>Age=33.0<br>SHAP=0.481",
+          "None=Reed, Mr. James George<br>Age=-999.0<br>SHAP=0.343",
+          "None=Stead, Mr. William Thomas<br>Age=62.0<br>SHAP=-2.660",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Age=-999.0<br>SHAP=-4.277",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>SHAP=3.662",
+          "None=Smith, Mr. Thomas<br>Age=-999.0<br>SHAP=0.215",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>SHAP=0.229",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Age=-999.0<br>SHAP=-0.108",
+          "None=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>SHAP=-1.548",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>SHAP=1.210",
+          "None=Smith, Mr. Richard William<br>Age=-999.0<br>SHAP=1.759",
+          "None=Connolly, Miss. Kate<br>Age=22.0<br>SHAP=-0.568",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>SHAP=-4.351",
+          "None=Levy, Mr. Rene Jacques<br>Age=36.0<br>SHAP=2.132",
+          "None=Lewy, Mr. Ervin G<br>Age=-999.0<br>SHAP=0.136",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Age=-999.0<br>SHAP=0.343",
+          "None=Sage, Mr. George John Jr<br>Age=-999.0<br>SHAP=1.872",
+          "None=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>SHAP=0.026",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=-999.0<br>SHAP=-0.920",
+          "None=Denkoff, Mr. Mitto<br>Age=-999.0<br>SHAP=0.343",
+          "None=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>SHAP=4.131",
+          "None=Dimic, Mr. Jovan<br>Age=42.0<br>SHAP=0.076",
+          "None=del Carlo, Mr. Sebastiano<br>Age=29.0<br>SHAP=-0.477",
+          "None=Beavan, Mr. William Thomas<br>Age=19.0<br>SHAP=-0.011",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=-999.0<br>SHAP=-4.179",
+          "None=Widener, Mr. Harry Elkins<br>Age=27.0<br>SHAP=2.836",
+          "None=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>SHAP=-0.011",
+          "None=Plotcharsky, Mr. Vasil<br>Age=-999.0<br>SHAP=0.343",
+          "None=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>SHAP=-1.452",
+          "None=Sadlier, Mr. Matthew<br>Age=-999.0<br>SHAP=0.215",
+          "None=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>SHAP=0.147",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>SHAP=-0.267",
+          "None=Niskanen, Mr. Juha<br>Age=39.0<br>SHAP=0.830",
+          "None=Minahan, Miss. Daisy E<br>Age=33.0<br>SHAP=3.678",
+          "None=Matthews, Mr. William John<br>Age=30.0<br>SHAP=-0.116",
+          "None=Charters, Mr. David<br>Age=21.0<br>SHAP=-0.107",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=19.0<br>SHAP=-0.358",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>SHAP=0.331",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Age=-999.0<br>SHAP=0.254",
+          "None=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>SHAP=-2.205",
+          "None=Anderson, Mr. Harry<br>Age=48.0<br>SHAP=-0.813",
+          "None=Milling, Mr. Jacob Christian<br>Age=48.0<br>SHAP=0.396",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>SHAP=0.430",
+          "None=Karlsson, Mr. Nils August<br>Age=22.0<br>SHAP=-0.023",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Age=-999.0<br>SHAP=-0.193",
+          "None=Bishop, Mr. Dickinson H<br>Age=25.0<br>SHAP=-2.557",
+          "None=Windelov, Mr. Einar<br>Age=21.0<br>SHAP=-0.026",
+          "None=Shellard, Mr. Frederick William<br>Age=-999.0<br>SHAP=0.343",
+          "None=Svensson, Mr. Olof<br>Age=24.0<br>SHAP=-0.024",
+          "None=O'Sullivan, Miss. Bridget Mary<br>Age=-999.0<br>SHAP=-0.003",
+          "None=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>SHAP=1.184",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>SHAP=0.933",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=-999.0<br>SHAP=1.073",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=36.0<br>SHAP=1.419",
+          "None=Kassem, Mr. Fared<br>Age=-999.0<br>SHAP=0.121",
+          "None=Cacic, Miss. Marija<br>Age=30.0<br>SHAP=-0.285",
+          "None=Hart, Miss. Eva Miriam<br>Age=7.0<br>SHAP=0.476",
+          "None=Butt, Major. Archibald Willingham<br>Age=45.0<br>SHAP=-0.120",
+          "None=Beane, Mr. Edward<br>Age=32.0<br>SHAP=0.055",
+          "None=Goldsmith, Mr. Frank John<br>Age=33.0<br>SHAP=0.282",
+          "None=Ohman, Miss. Velin<br>Age=22.0<br>SHAP=-0.414",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>SHAP=0.603",
+          "None=Morrow, Mr. Thomas Rowan<br>Age=-999.0<br>SHAP=0.215",
+          "None=Harris, Mr. George<br>Age=62.0<br>SHAP=0.498",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>SHAP=-7.076",
+          "None=Patchett, Mr. George<br>Age=19.0<br>SHAP=-0.011",
+          "None=Ross, Mr. John Hugo<br>Age=36.0<br>SHAP=13.178",
+          "None=Murdlin, Mr. Joseph<br>Age=-999.0<br>SHAP=0.343",
+          "None=Bourke, Miss. Mary<br>Age=-999.0<br>SHAP=0.079",
+          "None=Boulos, Mr. Hanna<br>Age=-999.0<br>SHAP=0.121",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Age=49.0<br>SHAP=-0.670",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=35.0<br>SHAP=22.702",
+          "None=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>SHAP=0.910",
+          "None=Daniel, Mr. Robert Williams<br>Age=27.0<br>SHAP=-0.792",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>SHAP=-0.617",
+          "None=Shutes, Miss. Elizabeth W<br>Age=40.0<br>SHAP=0.712",
+          "None=Jardin, Mr. Jose Neto<br>Age=-999.0<br>SHAP=0.343",
+          "None=Horgan, Mr. John<br>Age=-999.0<br>SHAP=0.215",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>SHAP=-0.443",
+          "None=Yasbeck, Mr. Antoni<br>Age=27.0<br>SHAP=-0.505",
+          "None=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>SHAP=-0.188",
+          "None=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>SHAP=0.236",
+          "None=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>SHAP=3.866",
+          "None=Willey, Mr. Edward<br>Age=-999.0<br>SHAP=0.343",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>SHAP=-0.408",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>Age=18.0<br>SHAP=-0.259",
+          "None=Eitemiller, Mr. George Floyd<br>Age=23.0<br>SHAP=0.041",
+          "None=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>SHAP=-1.201",
+          "None=Coleff, Mr. Peju<br>Age=36.0<br>SHAP=1.077",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>SHAP=0.164",
+          "None=Davidson, Mr. Thornton<br>Age=31.0<br>SHAP=0.473",
+          "None=Turja, Miss. Anna Sofia<br>Age=18.0<br>SHAP=-0.308",
+          "None=Hassab, Mr. Hammad<br>Age=27.0<br>SHAP=-3.491",
+          "None=Goodwin, Mr. Charles Edward<br>Age=14.0<br>SHAP=-1.434",
+          "None=Panula, Mr. Jaako Arnold<br>Age=14.0<br>SHAP=0.340",
+          "None=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>SHAP=0.088",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>SHAP=-0.052",
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Katriina<br>Age=20.0<br>PassengerClass=3<br>SHAP=-0.98\", \"index=Pekoniemi, Mr. Edvard<br>Age=21.0<br>PassengerClass=3<br>SHAP=-0.4\", \"index=Turpin, Mr. William John Robert<br>Age=29.0<br>PassengerClass=2<br>SHAP=-0.25\", \"index=Moore, Mr. Leonard Charles<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27\", \"index=Osen, Mr. Olaf Elon<br>Age=16.0<br>PassengerClass=3<br>SHAP=-0.19\", \"index=Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Age=9.0<br>PassengerClass=3<br>SHAP=-0.03\", \"index=Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Age=36.5<br>PassengerClass=2<br>SHAP=1.94\", \"index=Bateman, Rev. 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Carla Christine Nielsine<br>Age=19.0<br>PassengerClass=3<br>SHAP=-1.14\", \"index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>PassengerClass=1<br>SHAP=6.35\", \"index=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>PassengerClass=3<br>SHAP=-0.34\", \"index=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>PassengerClass=3<br>SHAP=-0.44\", \"index=Blank, Mr. Henry<br>Age=40.0<br>PassengerClass=1<br>SHAP=4.3\", \"index=Ali, Mr. Ahmed<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.35\", \"index=Green, Mr. George Henry<br>Age=51.0<br>PassengerClass=3<br>SHAP=-0.08\", \"index=Nenkoff, Mr. Christo<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27\", \"index=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>PassengerClass=3<br>SHAP=-0.13\", \"index=Harknett, Miss. Alice Phoebe<br>Age=nan<br>PassengerClass=3<br>SHAP=-0.02\", \"index=Hunt, Mr. George Henry<br>Age=33.0<br>PassengerClass=2<br>SHAP=0.37\", \"index=Reed, Mr. James George<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27\", \"index=Stead, Mr. William Thomas<br>Age=62.0<br>PassengerClass=1<br>SHAP=-3.21\", \"index=Thorne, Mrs. Gertrude Maybelle<br>Age=nan<br>PassengerClass=1<br>SHAP=-6.2\", \"index=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>PassengerClass=2<br>SHAP=0.73\", \"index=Smith, Mr. Thomas<br>Age=nan<br>PassengerClass=3<br>SHAP=0.09\", \"index=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>PassengerClass=3<br>SHAP=-0.01\", \"index=Healy, Miss. Hanora \\\"Nora\\\"<br>Age=nan<br>PassengerClass=3<br>SHAP=-0.35\", \"index=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>PassengerClass=1<br>SHAP=-1.48\", \"index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>PassengerClass=3<br>SHAP=2.22\", \"index=Smith, Mr. Richard William<br>Age=nan<br>PassengerClass=1<br>SHAP=1.52\", \"index=Connolly, Miss. 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Elizabeth Margaret<br>Age=41.0<br>PassengerClass=1<br>SHAP=6.32\", \"index=Dimic, Mr. Jovan<br>Age=42.0<br>PassengerClass=3<br>SHAP=0.41\", \"index=del Carlo, Mr. Sebastiano<br>Age=29.0<br>PassengerClass=2<br>SHAP=-0.44\", \"index=Beavan, Mr. William Thomas<br>Age=19.0<br>PassengerClass=3<br>SHAP=-0.4\", \"index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=nan<br>PassengerClass=1<br>SHAP=-4.52\", \"index=Widener, Mr. Harry Elkins<br>Age=27.0<br>PassengerClass=1<br>SHAP=-0.1\", \"index=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>PassengerClass=3<br>SHAP=-0.4\", \"index=Plotcharsky, Mr. Vasil<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27\", \"index=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>PassengerClass=3<br>SHAP=-1.58\", \"index=Sadlier, Mr. Matthew<br>Age=nan<br>PassengerClass=3<br>SHAP=0.09\", \"index=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>PassengerClass=3<br>SHAP=-0.41\", \"index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.28\", \"index=Niskanen, Mr. Juha<br>Age=39.0<br>PassengerClass=3<br>SHAP=1.21\", \"index=Minahan, Miss. Daisy E<br>Age=33.0<br>PassengerClass=1<br>SHAP=1.67\", \"index=Matthews, Mr. William John<br>Age=30.0<br>PassengerClass=2<br>SHAP=-0.18\", \"index=Charters, Mr. David<br>Age=21.0<br>PassengerClass=3<br>SHAP=-0.32\", \"index=Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Age=19.0<br>PassengerClass=2<br>SHAP=-0.79\", \"index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>PassengerClass=2<br>SHAP=0.92\", \"index=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>PassengerClass=3<br>SHAP=0.13\", \"index=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>PassengerClass=1<br>SHAP=-1.64\", \"index=Anderson, Mr. Harry<br>Age=48.0<br>PassengerClass=1<br>SHAP=-0.42\", \"index=Milling, Mr. Jacob Christian<br>Age=48.0<br>PassengerClass=2<br>SHAP=0.31\", \"index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>PassengerClass=2<br>SHAP=0.73\", \"index=Karlsson, Mr. Nils August<br>Age=22.0<br>PassengerClass=3<br>SHAP=-0.4\", \"index=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Age=nan<br>PassengerClass=2<br>SHAP=-1.07\", \"index=Bishop, Mr. Dickinson H<br>Age=25.0<br>PassengerClass=1<br>SHAP=-4.35\", \"index=Windelov, Mr. Einar<br>Age=21.0<br>PassengerClass=3<br>SHAP=-0.4\", \"index=Shellard, Mr. Frederick William<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27\", \"index=Svensson, Mr. Olof<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.35\", \"index=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>PassengerClass=3<br>SHAP=-0.2\", \"index=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>PassengerClass=3<br>SHAP=1.11\", \"index=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>PassengerClass=1<br>SHAP=-1.15\", \"index=Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Age=nan<br>PassengerClass=1<br>SHAP=0.02\", \"index=Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Age=36.0<br>PassengerClass=2<br>SHAP=2.15\", \"index=Kassem, Mr. Fared<br>Age=nan<br>PassengerClass=3<br>SHAP=-0.08\", \"index=Cacic, Miss. Marija<br>Age=30.0<br>PassengerClass=3<br>SHAP=-0.62\", \"index=Hart, Miss. Eva Miriam<br>Age=7.0<br>PassengerClass=2<br>SHAP=-0.33\", \"index=Butt, Major. Archibald Willingham<br>Age=45.0<br>PassengerClass=1<br>SHAP=0.97\", \"index=Beane, Mr. Edward<br>Age=32.0<br>PassengerClass=2<br>SHAP=0.06\", \"index=Goldsmith, Mr. Frank John<br>Age=33.0<br>PassengerClass=3<br>SHAP=0.45\", \"index=Ohman, Miss. Velin<br>Age=22.0<br>PassengerClass=3<br>SHAP=-0.95\", \"index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>PassengerClass=1<br>SHAP=1.82\", \"index=Morrow, Mr. Thomas Rowan<br>Age=nan<br>PassengerClass=3<br>SHAP=0.09\", \"index=Harris, Mr. George<br>Age=62.0<br>PassengerClass=2<br>SHAP=0.51\", \"index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>PassengerClass=1<br>SHAP=-1.27\", \"index=Patchett, Mr. George<br>Age=19.0<br>PassengerClass=3<br>SHAP=-0.4\", \"index=Ross, Mr. John Hugo<br>Age=36.0<br>PassengerClass=1<br>SHAP=20.24\", \"index=Murdlin, Mr. Joseph<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27\", \"index=Bourke, Miss. Mary<br>Age=nan<br>PassengerClass=3<br>SHAP=-0.14\", \"index=Boulos, Mr. Hanna<br>Age=nan<br>PassengerClass=3<br>SHAP=-0.08\", \"index=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Age=49.0<br>PassengerClass=1<br>SHAP=-1.78\", \"index=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Age=35.0<br>PassengerClass=1<br>SHAP=24.24\", \"index=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>PassengerClass=3<br>SHAP=1.25\", \"index=Daniel, Mr. Robert Williams<br>Age=27.0<br>PassengerClass=1<br>SHAP=-1.97\", \"index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>PassengerClass=2<br>SHAP=-1.06\", \"index=Shutes, Miss. Elizabeth W<br>Age=40.0<br>PassengerClass=1<br>SHAP=3.34\", \"index=Jardin, Mr. Jose Neto<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27\", \"index=Horgan, Mr. John<br>Age=nan<br>PassengerClass=3<br>SHAP=0.09\", \"index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>PassengerClass=3<br>SHAP=-0.88\", \"index=Yasbeck, Mr. Antoni<br>Age=27.0<br>PassengerClass=3<br>SHAP=-0.9\", \"index=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>PassengerClass=3<br>SHAP=-0.15\", \"index=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>PassengerClass=3<br>SHAP=-0.08\", \"index=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>PassengerClass=1<br>SHAP=1.36\", \"index=Willey, Mr. Edward<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27\", \"index=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>PassengerClass=3<br>SHAP=-0.94\", \"index=Hegarty, Miss. 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Anna Sofia<br>Age=18.0<br>PassengerClass=3<br>SHAP=-0.75\", \"index=Hassab, Mr. Hammad<br>Age=27.0<br>PassengerClass=1<br>SHAP=-4.14\", \"index=Goodwin, Mr. Charles Edward<br>Age=14.0<br>PassengerClass=3<br>SHAP=-1.64\", \"index=Panula, Mr. Jaako Arnold<br>Age=14.0<br>PassengerClass=3<br>SHAP=0.04\", \"index=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>PassengerClass=3<br>SHAP=-0.19\", \"index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>PassengerClass=3<br>SHAP=0.3\", \"index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>PassengerClass=1<br>SHAP=-3.47\", \"index=Hansen, Mr. Henrik Juul<br>Age=26.0<br>PassengerClass=3<br>SHAP=-0.69\", \"index=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>PassengerClass=1<br>SHAP=1.15\", \"index=Klaber, Mr. Herman<br>Age=nan<br>PassengerClass=1<br>SHAP=2.34\", \"index=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>PassengerClass=1<br>SHAP=-1.0\", \"index=Larsson, Mr. August Viktor<br>Age=29.0<br>PassengerClass=3<br>SHAP=-0.4\", \"index=Greenberg, Mr. Samuel<br>Age=52.0<br>PassengerClass=2<br>SHAP=0.22\", \"index=Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Age=27.0<br>PassengerClass=2<br>SHAP=-0.35\", \"index=McEvoy, Mr. Michael<br>Age=nan<br>PassengerClass=3<br>SHAP=0.09\", \"index=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>PassengerClass=3<br>SHAP=0.25\", \"index=Gillespie, Mr. William Henry<br>Age=34.0<br>PassengerClass=2<br>SHAP=1.61\", \"index=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>PassengerClass=1<br>SHAP=-2.88\", \"index=Berriman, Mr. William John<br>Age=23.0<br>PassengerClass=2<br>SHAP=-0.29\", \"index=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>PassengerClass=2<br>SHAP=-0.29\", \"index=Williams, Mr. Leslie<br>Age=28.5<br>PassengerClass=3<br>SHAP=-0.34\", \"index=Ivanoff, Mr. Kanio<br>Age=nan<br>PassengerClass=3<br>SHAP=0.27\", \"index=McNamee, Mr. Neal<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.66\", \"index=Connaghton, Mr. Michael<br>Age=31.0<br>PassengerClass=3<br>SHAP=-0.03\", \"index=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>PassengerClass=3<br>SHAP=-0.34\", \"index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>PassengerClass=1<br>SHAP=1.34\", \"index=Eklund, Mr. Hans Linus<br>Age=16.0<br>PassengerClass=3<br>SHAP=-0.19\", \"index=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>PassengerClass=1<br>SHAP=-1.2\", \"index=Moran, Mr. Daniel J<br>Age=nan<br>PassengerClass=3<br>SHAP=0.77\", \"index=Lievens, Mr. Rene Aime<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.35\", \"index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>PassengerClass=1<br>SHAP=2.68\", \"index=Ayoub, Miss. Banoura<br>Age=13.0<br>PassengerClass=3<br>SHAP=-0.54\", \"index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>PassengerClass=1<br>SHAP=-2.06\", \"index=Johnston, Mr. Andrew G<br>Age=nan<br>PassengerClass=3<br>SHAP=0.14\", \"index=Ali, Mr. William<br>Age=25.0<br>PassengerClass=3<br>SHAP=-0.44\", \"index=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>PassengerClass=3<br>SHAP=-0.75\", \"index=Guggenheim, Mr. Benjamin<br>Age=46.0<br>PassengerClass=1<br>SHAP=0.54\", \"index=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>PassengerClass=1<br>SHAP=0.47\", \"index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>PassengerClass=2<br>SHAP=-0.1\", \"index=Carter, Master. William Thornton II<br>Age=11.0<br>PassengerClass=1<br>SHAP=1.79\", \"index=Thomas, Master. Assad Alexander<br>Age=0.42<br>PassengerClass=3<br>SHAP=-0.32\", \"index=Johansson, Mr. Karl Johan<br>Age=31.0<br>PassengerClass=3<br>SHAP=-0.26\", \"index=Slemen, Mr. Richard James<br>Age=35.0<br>PassengerClass=2<br>SHAP=2.03\", \"index=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>PassengerClass=3<br>SHAP=-0.35\", \"index=McCormack, Mr. Thomas Joseph<br>Age=nan<br>PassengerClass=3<br>SHAP=-0.06\", \"index=Richards, Master. George Sibley<br>Age=0.83<br>PassengerClass=2<br>SHAP=-0.12\", \"index=Mudd, Mr. Thomas Charles<br>Age=16.0<br>PassengerClass=2<br>SHAP=0.44\", \"index=Lemberopolous, Mr. Peter L<br>Age=34.5<br>PassengerClass=3<br>SHAP=3.03\", \"index=Sage, Mr. Douglas Bullen<br>Age=nan<br>PassengerClass=3<br>SHAP=1.44\", \"index=Boulos, Miss. Nourelain<br>Age=9.0<br>PassengerClass=3<br>SHAP=-0.29\", \"index=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>PassengerClass=3<br>SHAP=-1.04\", \"index=Razi, Mr. Raihed<br>Age=nan<br>PassengerClass=3<br>SHAP=-0.08\", \"index=Johnson, Master. Harold Theodor<br>Age=4.0<br>PassengerClass=3<br>SHAP=0.05\", \"index=Carlsson, Mr. Frans Olof<br>Age=33.0<br>PassengerClass=1<br>SHAP=1.76\", \"index=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>PassengerClass=3<br>SHAP=-0.4\", \"index=Montvila, Rev. Juozas<br>Age=27.0<br>PassengerClass=2<br>SHAP=-0.31\"], \"type\": \"scatter\", \"x\": [38.0, 35.0, 2.0, 27.0, 14.0, 20.0, 14.0, 38.0, null, 28.0, null, 19.0, 18.0, 21.0, 45.0, 4.0, 26.0, 21.0, 17.0, 16.0, 29.0, 20.0, 46.0, null, 21.0, 38.0, null, 22.0, 20.0, 21.0, 29.0, null, 16.0, 9.0, 36.5, 51.0, 55.5, 44.0, null, 61.0, 21.0, 18.0, null, 19.0, 44.0, 28.0, 32.0, 40.0, 24.0, 51.0, null, 5.0, null, 33.0, null, 62.0, null, 50.0, null, 3.0, null, 63.0, 35.0, null, 22.0, 19.0, 36.0, null, null, null, 61.0, null, null, 41.0, 42.0, 29.0, 19.0, null, 27.0, 19.0, null, 1.0, null, 28.0, 24.0, 39.0, 33.0, 30.0, 21.0, 19.0, 45.0, null, 52.0, 48.0, 48.0, 33.0, 22.0, null, 25.0, 21.0, null, 24.0, null, 37.0, 18.0, null, 36.0, null, 30.0, 7.0, 45.0, 32.0, 33.0, 22.0, 39.0, null, 62.0, 53.0, 19.0, 36.0, null, null, null, 49.0, 35.0, 36.0, 27.0, 22.0, 40.0, null, null, 26.0, 27.0, 26.0, 51.0, 32.0, null, 23.0, 18.0, 23.0, 47.0, 36.0, 40.0, 31.0, 18.0, 27.0, 14.0, 14.0, 18.0, 42.0, 18.0, 26.0, 42.0, null, 48.0, 29.0, 52.0, 27.0, null, 33.0, 34.0, 29.0, 23.0, 23.0, 28.5, null, 24.0, 31.0, 28.0, 33.0, 16.0, 51.0, null, 24.0, 43.0, 13.0, 17.0, null, 25.0, 18.0, 46.0, 49.0, 31.0, 11.0, 0.42, 31.0, 35.0, 30.5, null, 0.83, 16.0, 34.5, null, 9.0, 18.0, null, 4.0, 33.0, 20.0, 27.0], \"y\": [7.5565204798659815, 6.125801497165066, 0.10676086418380337, -0.6510378001665383, -0.9119361499414768, -0.4032724829063158, 0.08898713064428877, 0.7461670815612641, -0.3454512046743985, -2.6715546532504972, -0.07811752154982794, -0.8850992607004508, -0.8418455042379255, -0.7884979448628002, -1.1231197850355985, 0.09345423012391019, -0.3792091643987693, -0.29766874702392615, -0.15693073344250047, -0.21425330472450843, -0.4026457883678799, -0.4032724829063158, -0.5148128839590438, 0.266507340470443, 2.437990581520618, 0.5084844757779529, 0.3836514212668406, -0.39835535471850414, -0.9752265001049413, -0.4032724829063158, -0.24765723111490018, 0.266507340470443, -0.19026761341941714, -0.032867086244189034, 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0.086898183779718, -0.41208030331545675, -0.2771442950755362, 1.2061397106037712, 1.6690393884529926, -0.1782632161872672, -0.31640485291462617, -0.7884979448628002, 0.9180181836935721, 0.129204624679271, -1.641302290071068, -0.42001185398620017, 0.308347118638638, 0.7271577988467455, -0.39835535471850414, -1.0699359198249114, -4.354505090038779, -0.4032724829063158, 0.266507340470443, -0.3494148800102339, -0.20042725177567577, 1.1105842612040768, -1.1533513638139201, 0.023011806977133904, 2.149648646347353, -0.07811752154982794, -0.6185746377189435, -0.32603544334966106, 0.9687828321987414, 0.05652533826818864, 0.44790957644144946, -0.9530004261676062, 1.8226684916599045, 0.086898183779718, 0.5122918336167066, -1.2741916492828387, -0.4032724829063158, 20.242012620683294, 0.266507340470443, -0.1406289187171451, -0.07811752154982794, -1.775259277016585, 24.244570816702304, 1.2514693068989795, -1.9665213578174514, -1.0601917554014602, 3.3439187185491988, 0.266507340470443, 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                {\"responsive\": true}                    ).then(function(){\n",
+       "<div>                            <div id=\"17a3a304-d865-4751-869f-bdf681bf6f40\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"17a3a304-d865-4751-869f-bdf681bf6f40\")) {                    Plotly.newPlot(                        \"17a3a304-d865-4751-869f-bdf681bf6f40\",                        [{\"hoverinfo\": \"text\", \"marker\": {\"opacity\": 0.6, \"size\": 7}, \"mode\": \"markers\", \"text\": [\"None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=38.0<br>SHAP=7.294\", \"None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=35.0<br>SHAP=5.299\", \"None=Palsson, Master. Gosta Leonard<br>Age=2.0<br>SHAP=0.491\", \"None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=27.0<br>SHAP=-0.329\", \"None=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>SHAP=-0.299\", \"None=Saundercock, Mr. William Henry<br>Age=20.0<br>SHAP=-0.011\", \"None=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=14.0<br>SHAP=0.184\", \"None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=38.0<br>SHAP=0.435\", \"None=Glynn, Miss. Mary Agatha<br>Age=-999.0<br>SHAP=-0.108\", \"None=Meyer, Mr. Edgar Joseph<br>Age=28.0<br>SHAP=-2.582\", \"None=Kraeff, Mr. Theodor<br>Age=-999.0<br>SHAP=0.121\", \"None=Devaney, Miss. Margaret Delia<br>Age=19.0<br>SHAP=-0.555\", \"None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=18.0<br>SHAP=-0.280\", \"None=Rugg, Miss. Emily<br>Age=21.0<br>SHAP=-0.366\", \"None=Harris, Mr. Henry Birkhardt<br>Age=45.0<br>SHAP=-1.571\", \"None=Skoog, Master. Harald<br>Age=4.0<br>SHAP=0.357\", \"None=Kink, Mr. Vincenz<br>Age=26.0<br>SHAP=-0.062\", \"None=Hood, Mr. Ambrose Jr<br>Age=21.0<br>SHAP=0.018\", \"None=Ilett, Miss. Bertha<br>Age=17.0<br>SHAP=0.464\", \"None=Ford, Mr. William Neal<br>Age=16.0<br>SHAP=0.135\", \"None=Christmann, Mr. Emil<br>Age=29.0<br>SHAP=-0.252\", \"None=Andreasson, Mr. Paul Edvin<br>Age=20.0<br>SHAP=-0.011\", \"None=Chaffee, Mr. Herbert Fuller<br>Age=46.0<br>SHAP=-0.616\", \"None=Petroff, Mr. Pastcho (\\\"Pentcho\\\")<br>Age=-999.0<br>SHAP=0.343\", \"None=White, Mr. Richard Frasar<br>Age=21.0<br>SHAP=2.686\", \"None=Rekic, Mr. Tido<br>Age=38.0<br>SHAP=0.540\", \"None=Moran, Miss. Bertha<br>Age=-999.0<br>SHAP=-0.107\", \"None=Barton, Mr. David John<br>Age=22.0<br>SHAP=-0.023\", \"None=Jussila, Miss. Katriina<br>Age=20.0<br>SHAP=-0.337\", \"None=Pekoniemi, Mr. Edvard<br>Age=21.0<br>SHAP=-0.026\", \"None=Turpin, Mr. William John Robert<br>Age=29.0<br>SHAP=-0.271\", \"None=Moore, Mr. Leonard Charles<br>Age=-999.0<br>SHAP=0.343\", \"None=Osen, Mr. Olaf Elon<br>Age=16.0<br>SHAP=0.131\", \"None=Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Age=9.0<br>SHAP=0.286\", \"None=Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Age=36.5<br>SHAP=1.011\", \"None=Bateman, Rev. Robert James<br>Age=51.0<br>SHAP=0.320\", \"None=Meo, Mr. Alfonzo<br>Age=55.5<br>SHAP=0.012\", \"None=Cribb, Mr. John Hatfield<br>Age=44.0<br>SHAP=0.058\", \"None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=-999.0<br>SHAP=3.755\", \"None=Van der hoef, Mr. Wyckoff<br>Age=61.0<br>SHAP=-2.261\", \"None=Sivola, Mr. Antti Wilhelm<br>Age=21.0<br>SHAP=-0.026\", \"None=Klasen, Mr. Klas Albin<br>Age=18.0<br>SHAP=0.107\", \"None=Rood, Mr. Hugh Roscoe<br>Age=-999.0<br>SHAP=1.759\", \"None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=19.0<br>SHAP=-0.452\", \"None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>SHAP=5.828\", \"None=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>SHAP=0.069\", \"None=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>SHAP=-0.179\", \"None=Blank, Mr. Henry<br>Age=40.0<br>SHAP=3.683\", \"None=Ali, Mr. Ahmed<br>Age=24.0<br>SHAP=-0.024\", \"None=Green, Mr. George Henry<br>Age=51.0<br>SHAP=0.236\", \"None=Nenkoff, Mr. Christo<br>Age=-999.0<br>SHAP=0.343\", \"None=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>SHAP=0.194\", \"None=Harknett, Miss. Alice Phoebe<br>Age=-999.0<br>SHAP=0.170\", \"None=Hunt, Mr. George Henry<br>Age=33.0<br>SHAP=0.481\", \"None=Reed, Mr. James George<br>Age=-999.0<br>SHAP=0.343\", \"None=Stead, Mr. William Thomas<br>Age=62.0<br>SHAP=-2.660\", \"None=Thorne, Mrs. Gertrude Maybelle<br>Age=-999.0<br>SHAP=-4.277\", \"None=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>SHAP=3.662\", \"None=Smith, Mr. Thomas<br>Age=-999.0<br>SHAP=0.215\", \"None=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>SHAP=0.229\", \"None=Healy, Miss. Hanora \\\"Nora\\\"<br>Age=-999.0<br>SHAP=-0.108\", \"None=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>SHAP=-1.548\", \"None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>SHAP=1.210\", \"None=Smith, Mr. Richard William<br>Age=-999.0<br>SHAP=1.759\", \"None=Connolly, Miss. Kate<br>Age=22.0<br>SHAP=-0.568\", \"None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>SHAP=-4.351\", \"None=Levy, Mr. Rene Jacques<br>Age=36.0<br>SHAP=2.132\", \"None=Lewy, Mr. Ervin G<br>Age=-999.0<br>SHAP=0.136\", \"None=Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Age=-999.0<br>SHAP=0.343\", \"None=Sage, Mr. George John Jr<br>Age=-999.0<br>SHAP=1.872\", \"None=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>SHAP=0.026\", \"None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=-999.0<br>SHAP=-0.920\", \"None=Denkoff, Mr. Mitto<br>Age=-999.0<br>SHAP=0.343\", \"None=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>SHAP=4.131\", \"None=Dimic, Mr. Jovan<br>Age=42.0<br>SHAP=0.076\", \"None=del Carlo, Mr. Sebastiano<br>Age=29.0<br>SHAP=-0.477\", \"None=Beavan, Mr. William Thomas<br>Age=19.0<br>SHAP=-0.011\", \"None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=-999.0<br>SHAP=-4.179\", \"None=Widener, Mr. Harry Elkins<br>Age=27.0<br>SHAP=2.836\", \"None=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>SHAP=-0.011\", \"None=Plotcharsky, Mr. Vasil<br>Age=-999.0<br>SHAP=0.343\", \"None=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>SHAP=-1.452\", \"None=Sadlier, Mr. Matthew<br>Age=-999.0<br>SHAP=0.215\", \"None=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>SHAP=0.147\", \"None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>SHAP=-0.267\", \"None=Niskanen, Mr. Juha<br>Age=39.0<br>SHAP=0.830\", \"None=Minahan, Miss. Daisy E<br>Age=33.0<br>SHAP=3.678\", \"None=Matthews, Mr. William John<br>Age=30.0<br>SHAP=-0.116\", \"None=Charters, Mr. David<br>Age=21.0<br>SHAP=-0.107\", \"None=Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Age=19.0<br>SHAP=-0.358\", \"None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>SHAP=0.331\", \"None=Johannesen-Bratthammer, Mr. Bernt<br>Age=-999.0<br>SHAP=0.254\", \"None=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>SHAP=-2.205\", \"None=Anderson, Mr. Harry<br>Age=48.0<br>SHAP=-0.813\", \"None=Milling, Mr. Jacob Christian<br>Age=48.0<br>SHAP=0.396\", \"None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>SHAP=0.430\", \"None=Karlsson, Mr. Nils August<br>Age=22.0<br>SHAP=-0.023\", \"None=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Age=-999.0<br>SHAP=-0.193\", \"None=Bishop, Mr. Dickinson H<br>Age=25.0<br>SHAP=-2.557\", \"None=Windelov, Mr. Einar<br>Age=21.0<br>SHAP=-0.026\", \"None=Shellard, Mr. Frederick William<br>Age=-999.0<br>SHAP=0.343\", \"None=Svensson, Mr. Olof<br>Age=24.0<br>SHAP=-0.024\", \"None=O'Sullivan, Miss. Bridget Mary<br>Age=-999.0<br>SHAP=-0.003\", \"None=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>SHAP=1.184\", \"None=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>SHAP=0.933\", \"None=Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Age=-999.0<br>SHAP=1.073\", \"None=Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Age=36.0<br>SHAP=1.419\", \"None=Kassem, Mr. Fared<br>Age=-999.0<br>SHAP=0.121\", \"None=Cacic, Miss. Marija<br>Age=30.0<br>SHAP=-0.285\", \"None=Hart, Miss. Eva Miriam<br>Age=7.0<br>SHAP=0.476\", \"None=Butt, Major. Archibald Willingham<br>Age=45.0<br>SHAP=-0.120\", \"None=Beane, Mr. Edward<br>Age=32.0<br>SHAP=0.055\", \"None=Goldsmith, Mr. Frank John<br>Age=33.0<br>SHAP=0.282\", \"None=Ohman, Miss. Velin<br>Age=22.0<br>SHAP=-0.414\", \"None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>SHAP=0.603\", \"None=Morrow, Mr. Thomas Rowan<br>Age=-999.0<br>SHAP=0.215\", \"None=Harris, Mr. George<br>Age=62.0<br>SHAP=0.498\", \"None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>SHAP=-7.076\", \"None=Patchett, Mr. George<br>Age=19.0<br>SHAP=-0.011\", \"None=Ross, Mr. John Hugo<br>Age=36.0<br>SHAP=13.178\", \"None=Murdlin, Mr. Joseph<br>Age=-999.0<br>SHAP=0.343\", \"None=Bourke, Miss. Mary<br>Age=-999.0<br>SHAP=0.079\", \"None=Boulos, Mr. Hanna<br>Age=-999.0<br>SHAP=0.121\", \"None=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Age=49.0<br>SHAP=-0.670\", \"None=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Age=35.0<br>SHAP=22.702\", \"None=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>SHAP=0.910\", \"None=Daniel, Mr. Robert Williams<br>Age=27.0<br>SHAP=-0.792\", \"None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>SHAP=-0.617\", \"None=Shutes, Miss. Elizabeth W<br>Age=40.0<br>SHAP=0.712\", \"None=Jardin, Mr. Jose Neto<br>Age=-999.0<br>SHAP=0.343\", \"None=Horgan, Mr. John<br>Age=-999.0<br>SHAP=0.215\", \"None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>SHAP=-0.443\", \"None=Yasbeck, Mr. Antoni<br>Age=27.0<br>SHAP=-0.505\", \"None=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>SHAP=-0.188\", \"None=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>SHAP=0.236\", \"None=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>SHAP=3.866\", \"None=Willey, Mr. Edward<br>Age=-999.0<br>SHAP=0.343\", \"None=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>SHAP=-0.408\", \"None=Hegarty, Miss. Hanora \\\"Nora\\\"<br>Age=18.0<br>SHAP=-0.259\", \"None=Eitemiller, Mr. George Floyd<br>Age=23.0<br>SHAP=0.041\", \"None=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>SHAP=-1.201\", \"None=Coleff, Mr. Peju<br>Age=36.0<br>SHAP=1.077\", \"None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>SHAP=0.164\", \"None=Davidson, Mr. Thornton<br>Age=31.0<br>SHAP=0.473\", \"None=Turja, Miss. Anna Sofia<br>Age=18.0<br>SHAP=-0.308\", \"None=Hassab, Mr. Hammad<br>Age=27.0<br>SHAP=-3.491\", \"None=Goodwin, Mr. Charles Edward<br>Age=14.0<br>SHAP=-1.434\", \"None=Panula, Mr. Jaako Arnold<br>Age=14.0<br>SHAP=0.340\", \"None=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>SHAP=0.088\", \"None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>SHAP=-0.052\", \"None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>SHAP=-2.559\", \"None=Hansen, Mr. Henrik Juul<br>Age=26.0<br>SHAP=-0.314\", \"None=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>SHAP=-0.149\", \"None=Klaber, Mr. Herman<br>Age=-999.0<br>SHAP=3.608\", \"None=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>SHAP=-1.314\", \"None=Larsson, Mr. August Viktor<br>Age=29.0<br>SHAP=-0.252\", \"None=Greenberg, Mr. Samuel<br>Age=52.0<br>SHAP=0.200\", \"None=Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Age=27.0<br>SHAP=-0.273\", \"None=McEvoy, Mr. Michael<br>Age=-999.0<br>SHAP=0.215\", \"None=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>SHAP=0.492\", \"None=Gillespie, Mr. William Henry<br>Age=34.0<br>SHAP=1.392\", \"None=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>SHAP=-1.294\", \"None=Berriman, Mr. William John<br>Age=23.0<br>SHAP=0.041\", \"None=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>SHAP=0.041\", \"None=Williams, Mr. Leslie<br>Age=28.5<br>SHAP=0.069\", \"None=Ivanoff, Mr. Kanio<br>Age=-999.0<br>SHAP=0.343\", \"None=McNamee, Mr. Neal<br>Age=24.0<br>SHAP=-0.114\", \"None=Connaghton, Mr. Michael<br>Age=31.0<br>SHAP=-0.223\", \"None=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>SHAP=0.069\", \"None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>SHAP=1.497\", \"None=Eklund, Mr. Hans Linus<br>Age=16.0<br>SHAP=0.131\", \"None=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>SHAP=-1.553\", \"None=Moran, Mr. Daniel J<br>Age=-999.0<br>SHAP=0.241\", \"None=Lievens, Mr. Rene Aime<br>Age=24.0<br>SHAP=-0.024\", \"None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>SHAP=-1.454\", \"None=Ayoub, Miss. Banoura<br>Age=13.0<br>SHAP=-0.333\", \"None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>SHAP=-1.061\", \"None=Johnston, Mr. Andrew G<br>Age=-999.0<br>SHAP=0.307\", \"None=Ali, Mr. William<br>Age=25.0<br>SHAP=-0.145\", \"None=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>SHAP=-0.308\", \"None=Guggenheim, Mr. Benjamin<br>Age=46.0<br>SHAP=4.066\", \"None=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>SHAP=-1.754\", \"None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>SHAP=-0.216\", \"None=Carter, Master. William Thornton II<br>Age=11.0<br>SHAP=7.176\", \"None=Thomas, Master. Assad Alexander<br>Age=0.42<br>SHAP=0.047\", \"None=Johansson, Mr. Karl Johan<br>Age=31.0<br>SHAP=-0.157\", \"None=Slemen, Mr. Richard James<br>Age=35.0<br>SHAP=1.354\", \"None=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>SHAP=-0.146\", \"None=McCormack, Mr. Thomas Joseph<br>Age=-999.0<br>SHAP=0.084\", \"None=Richards, Master. George Sibley<br>Age=0.83<br>SHAP=0.241\", \"None=Mudd, Mr. Thomas Charles<br>Age=16.0<br>SHAP=0.887\", \"None=Lemberopolous, Mr. Peter L<br>Age=34.5<br>SHAP=2.974\", \"None=Sage, Mr. Douglas Bullen<br>Age=-999.0<br>SHAP=1.872\", \"None=Boulos, Miss. Nourelain<br>Age=9.0<br>SHAP=-0.080\", \"None=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>SHAP=-0.250\", \"None=Razi, Mr. Raihed<br>Age=-999.0<br>SHAP=0.121\", \"None=Johnson, Master. Harold Theodor<br>Age=4.0<br>SHAP=0.310\", \"None=Carlsson, Mr. Frans Olof<br>Age=33.0<br>SHAP=1.967\", \"None=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>SHAP=-0.011\", \"None=Montvila, Rev. Juozas<br>Age=27.0<br>SHAP=-0.177\"], \"type\": \"scattergl\", \"x\": [38.0, 35.0, 2.0, 27.0, 14.0, 20.0, 14.0, 38.0, null, 28.0, null, 19.0, 18.0, 21.0, 45.0, 4.0, 26.0, 21.0, 17.0, 16.0, 29.0, 20.0, 46.0, null, 21.0, 38.0, null, 22.0, 20.0, 21.0, 29.0, null, 16.0, 9.0, 36.5, 51.0, 55.5, 44.0, null, 61.0, 21.0, 18.0, null, 19.0, 44.0, 28.0, 32.0, 40.0, 24.0, 51.0, null, 5.0, null, 33.0, null, 62.0, null, 50.0, null, 3.0, null, 63.0, 35.0, null, 22.0, 19.0, 36.0, null, null, null, 61.0, null, null, 41.0, 42.0, 29.0, 19.0, null, 27.0, 19.0, null, 1.0, null, 28.0, 24.0, 39.0, 33.0, 30.0, 21.0, 19.0, 45.0, null, 52.0, 48.0, 48.0, 33.0, 22.0, null, 25.0, 21.0, null, 24.0, null, 37.0, 18.0, null, 36.0, null, 30.0, 7.0, 45.0, 32.0, 33.0, 22.0, 39.0, null, 62.0, 53.0, 19.0, 36.0, null, null, null, 49.0, 35.0, 36.0, 27.0, 22.0, 40.0, null, null, 26.0, 27.0, 26.0, 51.0, 32.0, null, 23.0, 18.0, 23.0, 47.0, 36.0, 40.0, 31.0, 18.0, 27.0, 14.0, 14.0, 18.0, 42.0, 18.0, 26.0, 42.0, null, 48.0, 29.0, 52.0, 27.0, null, 33.0, 34.0, 29.0, 23.0, 23.0, 28.5, null, 24.0, 31.0, 28.0, 33.0, 16.0, 51.0, null, 24.0, 43.0, 13.0, 17.0, null, 25.0, 18.0, 46.0, 49.0, 31.0, 11.0, 0.42, 31.0, 35.0, 30.5, null, 0.83, 16.0, 34.5, null, 9.0, 18.0, null, 4.0, 33.0, 20.0, 27.0], \"y\": [7.293561110068257, 5.299210818746949, 0.49146947999602514, -0.3289497753688725, -0.2993422625913043, -0.010847887635784417, 0.18361189714203432, 0.4349752748826714, -0.10846875520901202, -2.5817112224149867, 0.1209166256908297, -0.555363526786045, -0.2802871501212023, -0.36601031093832925, -1.5707824363601188, 0.357457939438461, -0.06212847760804008, 0.017871878382685724, 0.4642483857199418, 0.13487100226011825, -0.25244405402655706, -0.010847887635784417, -0.6160672037217677, 0.3432846212117614, 2.6857691969929274, 0.5396406170836882, -0.10656546087931314, -0.02260474993744398, -0.33663604638183564, -0.025524497565680076, -0.27138160761253194, 0.3432846212117614, 0.13053604025766255, 0.2859002988353086, 1.0108338637996555, 0.3202254835988891, 0.011862263039156792, 0.05784977134794637, 3.7551603566552543, -2.2607947885004025, -0.025524497565680076, 0.10728326041188828, 1.7588309377839306, -0.45211483619269727, 5.828218326019894, 0.06877764227324058, -0.17873918163407615, 3.6834360545865863, -0.024116470864005705, 0.23582397512366554, 0.3432846212117614, 0.1941510277383721, 0.16975824533169923, 0.48117457920525925, 0.3432846212117614, -2.6596933976116905, -4.276577291044247, 3.6624655137567284, 0.2154455940418241, 0.22941241203144466, -0.10846875520901202, -1.5484681774737894, 1.2103837027383102, 1.7588309377839306, -0.5681640950539681, -4.350700000244729, 2.132082138270907, 0.1361033457152938, 0.3432846212117614, 1.8718706014557478, 0.026253128243196804, -0.9196891091968266, 0.3432846212117614, 4.130746755957855, 0.07558907452507205, -0.4768170380943938, -0.010847887635784417, -4.178576631962444, 2.835964436613428, -0.010847887635784417, 0.3432846212117614, -1.4518603486733395, 0.2154455940418241, 0.14695328157244458, -0.2669378451608998, 0.8297733278340897, 3.6783640765844905, -0.11639593091124148, -0.10706952693955157, -0.3575082973737318, 0.33082275127322425, 0.2540337107544315, -2.2046265475537443, -0.8129297764047908, 0.39605843609818586, 0.4297190007605634, -0.02260474993744398, -0.19312194671376368, -2.5570924386032887, -0.025524497565680076, 0.3432846212117614, -0.024116470864005705, -0.0034055061281179537, 1.183613169085186, 0.9326354999214804, 1.0727215261997967, 1.4192129390277155, 0.1209166256908297, -0.28517876015729837, 0.47573120231683513, -0.1199047615383532, 0.05517944991031064, 0.2818636636428384, -0.41439718183019913, 0.603102463159512, 0.2154455940418241, 0.49772586629912247, -7.076163199321902, -0.010847887635784417, 13.178025453661913, 0.3432846212117614, 0.07916704263608788, 0.1209166256908297, -0.6703751824071789, 22.702355620310833, 0.9096828705310643, -0.7916787003766437, -0.6168666426587055, 0.712113064244633, 0.3432846212117614, 0.2154455940418241, -0.44266967423404696, -0.5053248869219937, -0.18770031665854364, 0.23582397512366554, 3.865525785897028, 0.3432846212117614, -0.40805125871519654, -0.2591498830222993, 0.040838877444872204, -1.2010396695137937, 1.0773925019503388, 0.1643491666532003, 0.4734796895894062, -0.30801969370349974, -3.490951981848301, -1.4336322984098664, 0.340309019535249, 0.08804273794385263, -0.051755140207516946, -2.558826526750774, -0.3144048763857761, -0.1491697040983184, 3.608429150095552, -1.3135953995112193, -0.25244405402655706, 0.20017824922060407, -0.27339955286484263, 0.2154455940418241, 0.4917054192613568, 1.39222519767839, -1.294131274411247, 0.040838877444872204, 0.040838877444872204, 0.06877764227324058, 0.3432846212117614, -0.11369062995504578, -0.22263082789104732, 0.06877764227324058, 1.4972606844215075, 0.13053604025766255, -1.5530756581590988, 0.2410450566010706, -0.024116470864005705, -1.453660028111668, -0.3325009634674424, -1.061000091466146, 0.3066631261464099, -0.14508073399210775, -0.30801969370349974, 4.066088522820349, -1.7541598894670425, -0.21636875898058314, 7.175988073420611, 0.04674931565031752, -0.1568357728429055, 1.3540543523109436, -0.14563047773773347, 0.08360078993972513, 0.24115724658871793, 0.8874676309295747, 2.973642832438085, 1.8718706014557478, -0.08014679281902957, -0.2499833916954793, 0.1209166256908297, 0.3102624466755316, 1.9668027039473852, -0.010847887635784417, -0.1766273180314128]}],                        {\"hovermode\": \"closest\", \"paper_bgcolor\": \"#fff\", \"plot_bgcolor\": \"#fff\", \"showlegend\": false, \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Dependence plot for Age\"}, \"xaxis\": {\"title\": {\"text\": \"Age\"}}, \"yaxis\": {\"title\": {\"text\": \"SHAP value ($)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('88d433e3-d83e-40fb-b4e1-6255d14d3c4a');\n",
+       "var gd = document.getElementById('17a3a304-d865-4751-869f-bdf681bf6f40');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -102322,23 +63030,23 @@
     }
    ],
    "source": [
-    "explainer.plot_dependence(\", color_col=\"PassengerClass\")"
+    "explainer.plot_dependence(\"Age\")"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Highlight particular index"
+    "### color by sex"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 61,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:47:25.087719Z",
-     "start_time": "2020-10-12T08:47:25.066733Z"
+     "end_time": "2021-01-20T16:02:58.781681Z",
+     "start_time": "2021-01-20T16:02:58.766014Z"
     }
    },
    "outputs": [
@@ -102357,75 +63065,75 @@
           "size": 7
          },
          "mode": "markers",
-         "name": "female",
+         "name": "Sex_female",
          "opacity": 0.8,
          "showlegend": true,
          "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=38.0<br>Sex=female<br>SHAP=7.56",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=35.0<br>Sex=female<br>SHAP=6.13",
-          "index=Palsson, Master. Gosta Leonard<br>Age=27.0<br>Sex=female<br>SHAP=-0.65",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=14.0<br>Sex=female<br>SHAP=-0.91",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>Sex=female<br>SHAP=0.09",
-          "index=Saundercock, Mr. William Henry<br>Age=38.0<br>Sex=female<br>SHAP=0.75",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=-999.0<br>Sex=female<br>SHAP=-0.35",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=19.0<br>Sex=female<br>SHAP=-0.89",
-          "index=Glynn, Miss. Mary Agatha<br>Age=18.0<br>Sex=female<br>SHAP=-0.84",
-          "index=Meyer, Mr. Edgar Joseph<br>Age=21.0<br>Sex=female<br>SHAP=-0.79",
-          "index=Kraeff, Mr. Theodor<br>Age=17.0<br>Sex=female<br>SHAP=-0.16",
-          "index=Devaney, Miss. Margaret Delia<br>Age=-999.0<br>Sex=female<br>SHAP=0.38",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=20.0<br>Sex=female<br>SHAP=-0.98",
-          "index=Rugg, Miss. Emily<br>Age=9.0<br>Sex=female<br>SHAP=-0.03",
-          "index=Harris, Mr. Henry Birkhardt<br>Age=-999.0<br>Sex=female<br>SHAP=0.78",
-          "index=Skoog, Master. Harald<br>Age=19.0<br>Sex=female<br>SHAP=-1.14",
-          "index=Kink, Mr. Vincenz<br>Age=44.0<br>Sex=female<br>SHAP=6.35",
-          "index=Hood, Mr. Ambrose Jr<br>Age=5.0<br>Sex=female<br>SHAP=-0.13",
-          "index=Ilett, Miss. Bertha<br>Age=-999.0<br>Sex=female<br>SHAP=-0.02",
-          "index=Ford, Mr. William Neal<br>Age=-999.0<br>Sex=female<br>SHAP=-6.2",
-          "index=Christmann, Mr. Emil<br>Age=50.0<br>Sex=female<br>SHAP=0.73",
-          "index=Andreasson, Mr. Paul Edvin<br>Age=-999.0<br>Sex=female<br>SHAP=-0.35",
-          "index=Chaffee, Mr. Herbert Fuller<br>Age=63.0<br>Sex=female<br>SHAP=-1.48",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=35.0<br>Sex=female<br>SHAP=2.22",
-          "index=White, Mr. Richard Frasar<br>Age=22.0<br>Sex=female<br>SHAP=-0.88",
-          "index=Rekic, Mr. Tido<br>Age=19.0<br>Sex=female<br>SHAP=-3.6",
-          "index=Moran, Miss. Bertha<br>Age=-999.0<br>Sex=female<br>SHAP=-2.0",
-          "index=Barton, Mr. David John<br>Age=41.0<br>Sex=female<br>SHAP=6.32",
-          "index=Jussila, Miss. Katriina<br>Age=-999.0<br>Sex=female<br>SHAP=-4.52",
-          "index=Pekoniemi, Mr. Edvard<br>Age=24.0<br>Sex=female<br>SHAP=-0.28",
-          "index=Turpin, Mr. William John Robert<br>Age=33.0<br>Sex=female<br>SHAP=1.67",
-          "index=Moore, Mr. Leonard Charles<br>Age=19.0<br>Sex=female<br>SHAP=-0.79",
-          "index=Osen, Mr. Olaf Elon<br>Age=45.0<br>Sex=female<br>SHAP=0.92",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=33.0<br>Sex=female<br>SHAP=0.73",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=-999.0<br>Sex=female<br>SHAP=-0.2",
-          "index=Bateman, Rev. Robert James<br>Age=37.0<br>Sex=female<br>SHAP=1.11",
-          "index=Meo, Mr. Alfonzo<br>Age=36.0<br>Sex=female<br>SHAP=2.15",
-          "index=Cribb, Mr. John Hatfield<br>Age=30.0<br>Sex=female<br>SHAP=-0.62",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=7.0<br>Sex=female<br>SHAP=-0.33",
-          "index=Van der hoef, Mr. Wyckoff<br>Age=22.0<br>Sex=female<br>SHAP=-0.95",
-          "index=Sivola, Mr. Antti Wilhelm<br>Age=39.0<br>Sex=female<br>SHAP=1.82",
-          "index=Klasen, Mr. Klas Albin<br>Age=53.0<br>Sex=female<br>SHAP=-1.27",
-          "index=Rood, Mr. Hugh Roscoe<br>Age=-999.0<br>Sex=female<br>SHAP=-0.14",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=22.0<br>Sex=female<br>SHAP=-1.06",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=40.0<br>Sex=female<br>SHAP=3.34",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Age=26.0<br>Sex=female<br>SHAP=-0.88",
-          "index=Backstrom, Mr. Karl Alfred<br>Age=23.0<br>Sex=female<br>SHAP=-0.94",
-          "index=Blank, Mr. Henry<br>Age=18.0<br>Sex=female<br>SHAP=-0.47",
-          "index=Ali, Mr. Ahmed<br>Age=40.0<br>Sex=female<br>SHAP=1.1",
-          "index=Green, Mr. George Henry<br>Age=18.0<br>Sex=female<br>SHAP=-0.75",
-          "index=Nenkoff, Mr. Christo<br>Age=18.0<br>Sex=female<br>SHAP=-3.47",
-          "index=Asplund, Miss. Lillian Gertrud<br>Age=27.0<br>Sex=female<br>SHAP=-0.35",
-          "index=Harknett, Miss. Alice Phoebe<br>Age=29.0<br>Sex=female<br>SHAP=-2.88",
-          "index=Hunt, Mr. George Henry<br>Age=33.0<br>Sex=female<br>SHAP=1.34",
-          "index=Reed, Mr. James George<br>Age=51.0<br>Sex=female<br>SHAP=-1.2",
-          "index=Stead, Mr. William Thomas<br>Age=43.0<br>Sex=female<br>SHAP=2.68",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Age=13.0<br>Sex=female<br>SHAP=-0.54",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Age=17.0<br>Sex=female<br>SHAP=-2.06",
-          "index=Smith, Mr. Thomas<br>Age=18.0<br>Sex=female<br>SHAP=-0.75",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Age=49.0<br>Sex=female<br>SHAP=0.47",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Age=31.0<br>Sex=female<br>SHAP=-0.1",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Age=9.0<br>Sex=female<br>SHAP=-0.29",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=18.0<br>Sex=female<br>SHAP=-1.04"
-         ],
-         "type": "scatter",
+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=38.0<br>Sex=Sex_female<br>SHAP=7.294",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=35.0<br>Sex=Sex_female<br>SHAP=5.299",
+          "None=Palsson, Master. Gosta Leonard<br>Age=27.0<br>Sex=Sex_female<br>SHAP=-0.329",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=14.0<br>Sex=Sex_female<br>SHAP=-0.299",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>Sex=Sex_female<br>SHAP=0.184",
+          "None=Saundercock, Mr. William Henry<br>Age=38.0<br>Sex=Sex_female<br>SHAP=0.435",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=nan<br>Sex=Sex_female<br>SHAP=-0.108",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=19.0<br>Sex=Sex_female<br>SHAP=-0.555",
+          "None=Glynn, Miss. Mary Agatha<br>Age=18.0<br>Sex=Sex_female<br>SHAP=-0.280",
+          "None=Meyer, Mr. Edgar Joseph<br>Age=21.0<br>Sex=Sex_female<br>SHAP=-0.366",
+          "None=Kraeff, Mr. Theodor<br>Age=17.0<br>Sex=Sex_female<br>SHAP=0.464",
+          "None=Devaney, Miss. Margaret Delia<br>Age=nan<br>Sex=Sex_female<br>SHAP=-0.107",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=20.0<br>Sex=Sex_female<br>SHAP=-0.337",
+          "None=Rugg, Miss. Emily<br>Age=9.0<br>Sex=Sex_female<br>SHAP=0.286",
+          "None=Harris, Mr. Henry Birkhardt<br>Age=nan<br>Sex=Sex_female<br>SHAP=3.755",
+          "None=Skoog, Master. Harald<br>Age=19.0<br>Sex=Sex_female<br>SHAP=-0.452",
+          "None=Kink, Mr. Vincenz<br>Age=44.0<br>Sex=Sex_female<br>SHAP=5.828",
+          "None=Hood, Mr. Ambrose Jr<br>Age=5.0<br>Sex=Sex_female<br>SHAP=0.194",
+          "None=Ilett, Miss. Bertha<br>Age=nan<br>Sex=Sex_female<br>SHAP=0.170",
+          "None=Ford, Mr. William Neal<br>Age=nan<br>Sex=Sex_female<br>SHAP=-4.277",
+          "None=Christmann, Mr. Emil<br>Age=50.0<br>Sex=Sex_female<br>SHAP=3.662",
+          "None=Andreasson, Mr. Paul Edvin<br>Age=nan<br>Sex=Sex_female<br>SHAP=-0.108",
+          "None=Chaffee, Mr. Herbert Fuller<br>Age=63.0<br>Sex=Sex_female<br>SHAP=-1.548",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=35.0<br>Sex=Sex_female<br>SHAP=1.210",
+          "None=White, Mr. Richard Frasar<br>Age=22.0<br>Sex=Sex_female<br>SHAP=-0.568",
+          "None=Rekic, Mr. Tido<br>Age=19.0<br>Sex=Sex_female<br>SHAP=-4.351",
+          "None=Moran, Miss. Bertha<br>Age=nan<br>Sex=Sex_female<br>SHAP=-0.920",
+          "None=Barton, Mr. David John<br>Age=41.0<br>Sex=Sex_female<br>SHAP=4.131",
+          "None=Jussila, Miss. Katriina<br>Age=nan<br>Sex=Sex_female<br>SHAP=-4.179",
+          "None=Pekoniemi, Mr. Edvard<br>Age=24.0<br>Sex=Sex_female<br>SHAP=-0.267",
+          "None=Turpin, Mr. William John Robert<br>Age=33.0<br>Sex=Sex_female<br>SHAP=3.678",
+          "None=Moore, Mr. Leonard Charles<br>Age=19.0<br>Sex=Sex_female<br>SHAP=-0.358",
+          "None=Osen, Mr. Olaf Elon<br>Age=45.0<br>Sex=Sex_female<br>SHAP=0.331",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=33.0<br>Sex=Sex_female<br>SHAP=0.430",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=nan<br>Sex=Sex_female<br>SHAP=-0.003",
+          "None=Bateman, Rev. Robert James<br>Age=37.0<br>Sex=Sex_female<br>SHAP=1.184",
+          "None=Meo, Mr. Alfonzo<br>Age=36.0<br>Sex=Sex_female<br>SHAP=1.419",
+          "None=Cribb, Mr. John Hatfield<br>Age=30.0<br>Sex=Sex_female<br>SHAP=-0.285",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=7.0<br>Sex=Sex_female<br>SHAP=0.476",
+          "None=Van der hoef, Mr. Wyckoff<br>Age=22.0<br>Sex=Sex_female<br>SHAP=-0.414",
+          "None=Sivola, Mr. Antti Wilhelm<br>Age=39.0<br>Sex=Sex_female<br>SHAP=0.603",
+          "None=Klasen, Mr. Klas Albin<br>Age=53.0<br>Sex=Sex_female<br>SHAP=-7.076",
+          "None=Rood, Mr. Hugh Roscoe<br>Age=nan<br>Sex=Sex_female<br>SHAP=0.079",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=22.0<br>Sex=Sex_female<br>SHAP=-0.617",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=40.0<br>Sex=Sex_female<br>SHAP=0.712",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Age=26.0<br>Sex=Sex_female<br>SHAP=-0.443",
+          "None=Backstrom, Mr. Karl Alfred<br>Age=23.0<br>Sex=Sex_female<br>SHAP=-0.408",
+          "None=Blank, Mr. Henry<br>Age=18.0<br>Sex=Sex_female<br>SHAP=-0.259",
+          "None=Ali, Mr. Ahmed<br>Age=40.0<br>Sex=Sex_female<br>SHAP=0.164",
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+          "None=Nenkoff, Mr. Christo<br>Age=18.0<br>Sex=Sex_female<br>SHAP=-2.559",
+          "None=Asplund, Miss. Lillian Gertrud<br>Age=27.0<br>Sex=Sex_female<br>SHAP=-0.273",
+          "None=Harknett, Miss. Alice Phoebe<br>Age=29.0<br>Sex=Sex_female<br>SHAP=-1.294",
+          "None=Hunt, Mr. George Henry<br>Age=33.0<br>Sex=Sex_female<br>SHAP=1.497",
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+          "None=Stead, Mr. William Thomas<br>Age=43.0<br>Sex=Sex_female<br>SHAP=-1.454",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Age=13.0<br>Sex=Sex_female<br>SHAP=-0.333",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Age=17.0<br>Sex=Sex_female<br>SHAP=-1.061",
+          "None=Smith, Mr. Thomas<br>Age=18.0<br>Sex=Sex_female<br>SHAP=-0.308",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Age=49.0<br>Sex=Sex_female<br>SHAP=-1.754",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Age=31.0<br>Sex=Sex_female<br>SHAP=-0.216",
+          "None=Andrews, Miss. Kornelia Theodosia<br>Age=9.0<br>Sex=Sex_female<br>SHAP=-0.080",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=18.0<br>Sex=Sex_female<br>SHAP=-0.250"
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+         "type": "scattergl",
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@@ -102565,149 +63273,149 @@
           "size": 7
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          "mode": "markers",
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+         "name": "Sex_male",
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          "showlegend": true,
          "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=2.0<br>Sex=male<br>SHAP=0.11",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=20.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Palsson, Master. Gosta Leonard<br>Age=28.0<br>Sex=male<br>SHAP=-2.67",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=-999.0<br>Sex=male<br>SHAP=-0.08",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=45.0<br>Sex=male<br>SHAP=-1.12",
-          "index=Saundercock, Mr. William Henry<br>Age=4.0<br>Sex=male<br>SHAP=0.09",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=26.0<br>Sex=male<br>SHAP=-0.38",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=21.0<br>Sex=male<br>SHAP=-0.3",
-          "index=Glynn, Miss. Mary Agatha<br>Age=16.0<br>Sex=male<br>SHAP=-0.21",
-          "index=Meyer, Mr. Edgar Joseph<br>Age=29.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Kraeff, Mr. Theodor<br>Age=20.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Devaney, Miss. Margaret Delia<br>Age=46.0<br>Sex=male<br>SHAP=-0.51",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Rugg, Miss. Emily<br>Age=21.0<br>Sex=male<br>SHAP=2.44",
-          "index=Harris, Mr. Henry Birkhardt<br>Age=38.0<br>Sex=male<br>SHAP=0.51",
-          "index=Skoog, Master. Harald<br>Age=22.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Kink, Mr. Vincenz<br>Age=21.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Hood, Mr. Ambrose Jr<br>Age=29.0<br>Sex=male<br>SHAP=-0.25",
-          "index=Ilett, Miss. Bertha<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Ford, Mr. William Neal<br>Age=16.0<br>Sex=male<br>SHAP=-0.19",
-          "index=Christmann, Mr. Emil<br>Age=36.5<br>Sex=male<br>SHAP=1.94",
-          "index=Andreasson, Mr. Paul Edvin<br>Age=51.0<br>Sex=male<br>SHAP=0.22",
-          "index=Chaffee, Mr. Herbert Fuller<br>Age=55.5<br>Sex=male<br>SHAP=-0.16",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=44.0<br>Sex=male<br>SHAP=-0.29",
-          "index=White, Mr. Richard Frasar<br>Age=61.0<br>Sex=male<br>SHAP=-2.17",
-          "index=Rekic, Mr. Tido<br>Age=21.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Moran, Miss. Bertha<br>Age=18.0<br>Sex=male<br>SHAP=-0.19",
-          "index=Barton, Mr. David John<br>Age=-999.0<br>Sex=male<br>SHAP=1.52",
-          "index=Jussila, Miss. Katriina<br>Age=28.0<br>Sex=male<br>SHAP=-0.34",
-          "index=Pekoniemi, Mr. Edvard<br>Age=32.0<br>Sex=male<br>SHAP=-0.44",
-          "index=Turpin, Mr. William John Robert<br>Age=40.0<br>Sex=male<br>SHAP=4.3",
-          "index=Moore, Mr. Leonard Charles<br>Age=24.0<br>Sex=male<br>SHAP=-0.35",
-          "index=Osen, Mr. Olaf Elon<br>Age=51.0<br>Sex=male<br>SHAP=-0.08",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=33.0<br>Sex=male<br>SHAP=0.37",
-          "index=Bateman, Rev. Robert James<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Meo, Mr. Alfonzo<br>Age=62.0<br>Sex=male<br>SHAP=-3.21",
-          "index=Cribb, Mr. John Hatfield<br>Age=-999.0<br>Sex=male<br>SHAP=0.09",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=3.0<br>Sex=male<br>SHAP=-0.01",
-          "index=Van der hoef, Mr. Wyckoff<br>Age=-999.0<br>Sex=male<br>SHAP=1.52",
-          "index=Sivola, Mr. Antti Wilhelm<br>Age=36.0<br>Sex=male<br>SHAP=3.36",
-          "index=Klasen, Mr. Klas Albin<br>Age=-999.0<br>Sex=male<br>SHAP=-0.53",
-          "index=Rood, Mr. Hugh Roscoe<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=-999.0<br>Sex=male<br>SHAP=1.44",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=61.0<br>Sex=male<br>SHAP=-0.15",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Backstrom, Mr. Karl Alfred<br>Age=42.0<br>Sex=male<br>SHAP=0.41",
-          "index=Blank, Mr. Henry<br>Age=29.0<br>Sex=male<br>SHAP=-0.44",
-          "index=Ali, Mr. Ahmed<br>Age=19.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Green, Mr. George Henry<br>Age=27.0<br>Sex=male<br>SHAP=-0.1",
-          "index=Nenkoff, Mr. Christo<br>Age=19.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Asplund, Miss. Lillian Gertrud<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Harknett, Miss. Alice Phoebe<br>Age=1.0<br>Sex=male<br>SHAP=-1.58",
-          "index=Hunt, Mr. George Henry<br>Age=-999.0<br>Sex=male<br>SHAP=0.09",
-          "index=Reed, Mr. James George<br>Age=28.0<br>Sex=male<br>SHAP=-0.41",
-          "index=Stead, Mr. William Thomas<br>Age=39.0<br>Sex=male<br>SHAP=1.21",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Age=30.0<br>Sex=male<br>SHAP=-0.18",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Age=21.0<br>Sex=male<br>SHAP=-0.32",
-          "index=Smith, Mr. Thomas<br>Age=-999.0<br>Sex=male<br>SHAP=0.13",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Age=52.0<br>Sex=male<br>SHAP=-1.64",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Age=48.0<br>Sex=male<br>SHAP=-0.42",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Age=48.0<br>Sex=male<br>SHAP=0.31",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=22.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Smith, Mr. Richard William<br>Age=-999.0<br>Sex=male<br>SHAP=-1.07",
-          "index=Connolly, Miss. Kate<br>Age=25.0<br>Sex=male<br>SHAP=-4.35",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=21.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Levy, Mr. Rene Jacques<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Lewy, Mr. Ervin G<br>Age=24.0<br>Sex=male<br>SHAP=-0.35",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Age=18.0<br>Sex=male<br>SHAP=-1.15",
-          "index=Sage, Mr. George John Jr<br>Age=-999.0<br>Sex=male<br>SHAP=0.02",
-          "index=Nysveen, Mr. Johan Hansen<br>Age=-999.0<br>Sex=male<br>SHAP=-0.08",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=45.0<br>Sex=male<br>SHAP=0.97",
-          "index=Denkoff, Mr. Mitto<br>Age=32.0<br>Sex=male<br>SHAP=0.06",
-          "index=Burns, Miss. Elizabeth Margaret<br>Age=33.0<br>Sex=male<br>SHAP=0.45",
-          "index=Dimic, Mr. Jovan<br>Age=-999.0<br>Sex=male<br>SHAP=0.09",
-          "index=del Carlo, Mr. Sebastiano<br>Age=62.0<br>Sex=male<br>SHAP=0.51",
-          "index=Beavan, Mr. William Thomas<br>Age=19.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=36.0<br>Sex=male<br>SHAP=20.24",
-          "index=Widener, Mr. Harry Elkins<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Gustafsson, Mr. Karl Gideon<br>Age=-999.0<br>Sex=male<br>SHAP=-0.08",
-          "index=Plotcharsky, Mr. Vasil<br>Age=49.0<br>Sex=male<br>SHAP=-1.78",
-          "index=Goodwin, Master. Sidney Leonard<br>Age=35.0<br>Sex=male<br>SHAP=24.24",
-          "index=Sadlier, Mr. Matthew<br>Age=36.0<br>Sex=male<br>SHAP=1.25",
-          "index=Gustafsson, Mr. Johan Birger<br>Age=27.0<br>Sex=male<br>SHAP=-1.97",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Niskanen, Mr. Juha<br>Age=-999.0<br>Sex=male<br>SHAP=0.09",
-          "index=Minahan, Miss. Daisy E<br>Age=27.0<br>Sex=male<br>SHAP=-0.9",
-          "index=Matthews, Mr. William John<br>Age=26.0<br>Sex=male<br>SHAP=-0.15",
-          "index=Charters, Mr. David<br>Age=51.0<br>Sex=male<br>SHAP=-0.08",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=32.0<br>Sex=male<br>SHAP=1.36",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Age=23.0<br>Sex=male<br>SHAP=-0.29",
-          "index=Peuchen, Major. Arthur Godfrey<br>Age=47.0<br>Sex=male<br>SHAP=-1.06",
-          "index=Anderson, Mr. Harry<br>Age=36.0<br>Sex=male<br>SHAP=1.62",
-          "index=Milling, Mr. Jacob Christian<br>Age=31.0<br>Sex=male<br>SHAP=-0.88",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=27.0<br>Sex=male<br>SHAP=-4.14",
-          "index=Karlsson, Mr. Nils August<br>Age=14.0<br>Sex=male<br>SHAP=-1.64",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Age=14.0<br>Sex=male<br>SHAP=0.04",
-          "index=Bishop, Mr. Dickinson H<br>Age=18.0<br>Sex=male<br>SHAP=-0.19",
-          "index=Windelov, Mr. Einar<br>Age=42.0<br>Sex=male<br>SHAP=0.3",
-          "index=Shellard, Mr. Frederick William<br>Age=26.0<br>Sex=male<br>SHAP=-0.69",
-          "index=Svensson, Mr. Olof<br>Age=42.0<br>Sex=male<br>SHAP=1.15",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Age=-999.0<br>Sex=male<br>SHAP=2.34",
-          "index=Laitinen, Miss. Kristina Sofia<br>Age=48.0<br>Sex=male<br>SHAP=-1.0",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Age=29.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=52.0<br>Sex=male<br>SHAP=0.22",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=-999.0<br>Sex=male<br>SHAP=0.09",
-          "index=Kassem, Mr. Fared<br>Age=33.0<br>Sex=male<br>SHAP=0.25",
-          "index=Cacic, Miss. Marija<br>Age=34.0<br>Sex=male<br>SHAP=1.61",
-          "index=Hart, Miss. Eva Miriam<br>Age=23.0<br>Sex=male<br>SHAP=-0.29",
-          "index=Butt, Major. Archibald Willingham<br>Age=23.0<br>Sex=male<br>SHAP=-0.29",
-          "index=Beane, Mr. Edward<br>Age=28.5<br>Sex=male<br>SHAP=-0.34",
-          "index=Goldsmith, Mr. Frank John<br>Age=-999.0<br>Sex=male<br>SHAP=0.27",
-          "index=Ohman, Miss. Velin<br>Age=24.0<br>Sex=male<br>SHAP=-0.66",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=31.0<br>Sex=male<br>SHAP=-0.03",
-          "index=Morrow, Mr. Thomas Rowan<br>Age=28.0<br>Sex=male<br>SHAP=-0.34",
-          "index=Harris, Mr. George<br>Age=16.0<br>Sex=male<br>SHAP=-0.19",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=-999.0<br>Sex=male<br>SHAP=0.77",
-          "index=Patchett, Mr. George<br>Age=24.0<br>Sex=male<br>SHAP=-0.35",
-          "index=Ross, Mr. John Hugo<br>Age=-999.0<br>Sex=male<br>SHAP=0.14",
-          "index=Murdlin, Mr. Joseph<br>Age=25.0<br>Sex=male<br>SHAP=-0.44",
-          "index=Bourke, Miss. Mary<br>Age=46.0<br>Sex=male<br>SHAP=0.54",
-          "index=Boulos, Mr. Hanna<br>Age=11.0<br>Sex=male<br>SHAP=1.79",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Age=0.42<br>Sex=male<br>SHAP=-0.32",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=31.0<br>Sex=male<br>SHAP=-0.26",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Age=35.0<br>Sex=male<br>SHAP=2.03",
-          "index=Daniel, Mr. Robert Williams<br>Age=30.5<br>Sex=male<br>SHAP=-0.35",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=-999.0<br>Sex=male<br>SHAP=-0.06",
-          "index=Shutes, Miss. Elizabeth W<br>Age=0.83<br>Sex=male<br>SHAP=-0.12",
-          "index=Jardin, Mr. Jose Neto<br>Age=16.0<br>Sex=male<br>SHAP=0.44",
-          "index=Horgan, Mr. John<br>Age=34.5<br>Sex=male<br>SHAP=3.03",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=-999.0<br>Sex=male<br>SHAP=1.44",
-          "index=Yasbeck, Mr. Antoni<br>Age=-999.0<br>Sex=male<br>SHAP=-0.08",
-          "index=Bostandyeff, Mr. Guentcho<br>Age=4.0<br>Sex=male<br>SHAP=0.05",
-          "index=Lundahl, Mr. Johan Svensson<br>Age=33.0<br>Sex=male<br>SHAP=1.76",
-          "index=Stahelin-Maeglin, Dr. Max<br>Age=20.0<br>Sex=male<br>SHAP=-0.4",
-          "index=Willey, Mr. Edward<br>Age=27.0<br>Sex=male<br>SHAP=-0.31"
-         ],
-         "type": "scatter",
+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=2.0<br>Sex=Sex_male<br>SHAP=0.491",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=20.0<br>Sex=Sex_male<br>SHAP=-0.011",
+          "None=Palsson, Master. Gosta Leonard<br>Age=28.0<br>Sex=Sex_male<br>SHAP=-2.582",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.121",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=45.0<br>Sex=Sex_male<br>SHAP=-1.571",
+          "None=Saundercock, Mr. William Henry<br>Age=4.0<br>Sex=Sex_male<br>SHAP=0.357",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=26.0<br>Sex=Sex_male<br>SHAP=-0.062",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=21.0<br>Sex=Sex_male<br>SHAP=0.018",
+          "None=Glynn, Miss. Mary Agatha<br>Age=16.0<br>Sex=Sex_male<br>SHAP=0.135",
+          "None=Meyer, Mr. Edgar Joseph<br>Age=29.0<br>Sex=Sex_male<br>SHAP=-0.252",
+          "None=Kraeff, Mr. Theodor<br>Age=20.0<br>Sex=Sex_male<br>SHAP=-0.011",
+          "None=Devaney, Miss. Margaret Delia<br>Age=46.0<br>Sex=Sex_male<br>SHAP=-0.616",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.343",
+          "None=Rugg, Miss. Emily<br>Age=21.0<br>Sex=Sex_male<br>SHAP=2.686",
+          "None=Harris, Mr. Henry Birkhardt<br>Age=38.0<br>Sex=Sex_male<br>SHAP=0.540",
+          "None=Skoog, Master. Harald<br>Age=22.0<br>Sex=Sex_male<br>SHAP=-0.023",
+          "None=Kink, Mr. Vincenz<br>Age=21.0<br>Sex=Sex_male<br>SHAP=-0.026",
+          "None=Hood, Mr. Ambrose Jr<br>Age=29.0<br>Sex=Sex_male<br>SHAP=-0.271",
+          "None=Ilett, Miss. Bertha<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.343",
+          "None=Ford, Mr. William Neal<br>Age=16.0<br>Sex=Sex_male<br>SHAP=0.131",
+          "None=Christmann, Mr. Emil<br>Age=36.5<br>Sex=Sex_male<br>SHAP=1.011",
+          "None=Andreasson, Mr. Paul Edvin<br>Age=51.0<br>Sex=Sex_male<br>SHAP=0.320",
+          "None=Chaffee, Mr. Herbert Fuller<br>Age=55.5<br>Sex=Sex_male<br>SHAP=0.012",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=44.0<br>Sex=Sex_male<br>SHAP=0.058",
+          "None=White, Mr. Richard Frasar<br>Age=61.0<br>Sex=Sex_male<br>SHAP=-2.261",
+          "None=Rekic, Mr. Tido<br>Age=21.0<br>Sex=Sex_male<br>SHAP=-0.026",
+          "None=Moran, Miss. Bertha<br>Age=18.0<br>Sex=Sex_male<br>SHAP=0.107",
+          "None=Barton, Mr. David John<br>Age=nan<br>Sex=Sex_male<br>SHAP=1.759",
+          "None=Jussila, Miss. Katriina<br>Age=28.0<br>Sex=Sex_male<br>SHAP=0.069",
+          "None=Pekoniemi, Mr. Edvard<br>Age=32.0<br>Sex=Sex_male<br>SHAP=-0.179",
+          "None=Turpin, Mr. William John Robert<br>Age=40.0<br>Sex=Sex_male<br>SHAP=3.683",
+          "None=Moore, Mr. Leonard Charles<br>Age=24.0<br>Sex=Sex_male<br>SHAP=-0.024",
+          "None=Osen, Mr. Olaf Elon<br>Age=51.0<br>Sex=Sex_male<br>SHAP=0.236",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.343",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=33.0<br>Sex=Sex_male<br>SHAP=0.481",
+          "None=Bateman, Rev. Robert James<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.343",
+          "None=Meo, Mr. Alfonzo<br>Age=62.0<br>Sex=Sex_male<br>SHAP=-2.660",
+          "None=Cribb, Mr. John Hatfield<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.215",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=3.0<br>Sex=Sex_male<br>SHAP=0.229",
+          "None=Van der hoef, Mr. Wyckoff<br>Age=nan<br>Sex=Sex_male<br>SHAP=1.759",
+          "None=Sivola, Mr. Antti Wilhelm<br>Age=36.0<br>Sex=Sex_male<br>SHAP=2.132",
+          "None=Klasen, Mr. Klas Albin<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.136",
+          "None=Rood, Mr. Hugh Roscoe<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.343",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=nan<br>Sex=Sex_male<br>SHAP=1.872",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=61.0<br>Sex=Sex_male<br>SHAP=0.026",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.343",
+          "None=Backstrom, Mr. Karl Alfred<br>Age=42.0<br>Sex=Sex_male<br>SHAP=0.076",
+          "None=Blank, Mr. Henry<br>Age=29.0<br>Sex=Sex_male<br>SHAP=-0.477",
+          "None=Ali, Mr. Ahmed<br>Age=19.0<br>Sex=Sex_male<br>SHAP=-0.011",
+          "None=Green, Mr. George Henry<br>Age=27.0<br>Sex=Sex_male<br>SHAP=2.836",
+          "None=Nenkoff, Mr. Christo<br>Age=19.0<br>Sex=Sex_male<br>SHAP=-0.011",
+          "None=Asplund, Miss. Lillian Gertrud<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.343",
+          "None=Harknett, Miss. Alice Phoebe<br>Age=1.0<br>Sex=Sex_male<br>SHAP=-1.452",
+          "None=Hunt, Mr. George Henry<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.215",
+          "None=Reed, Mr. James George<br>Age=28.0<br>Sex=Sex_male<br>SHAP=0.147",
+          "None=Stead, Mr. William Thomas<br>Age=39.0<br>Sex=Sex_male<br>SHAP=0.830",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>Age=30.0<br>Sex=Sex_male<br>SHAP=-0.116",
+          "None=Parrish, Mrs. (Lutie Davis)<br>Age=21.0<br>Sex=Sex_male<br>SHAP=-0.107",
+          "None=Smith, Mr. Thomas<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.254",
+          "None=Asplund, Master. Edvin Rojj Felix<br>Age=52.0<br>Sex=Sex_male<br>SHAP=-2.205",
+          "None=Healy, Miss. Hanora \"Nora\"<br>Age=48.0<br>Sex=Sex_male<br>SHAP=-0.813",
+          "None=Andrews, Miss. Kornelia Theodosia<br>Age=48.0<br>Sex=Sex_male<br>SHAP=0.396",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=22.0<br>Sex=Sex_male<br>SHAP=-0.023",
+          "None=Smith, Mr. Richard William<br>Age=nan<br>Sex=Sex_male<br>SHAP=-0.193",
+          "None=Connolly, Miss. Kate<br>Age=25.0<br>Sex=Sex_male<br>SHAP=-2.557",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=21.0<br>Sex=Sex_male<br>SHAP=-0.026",
+          "None=Levy, Mr. Rene Jacques<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.343",
+          "None=Lewy, Mr. Ervin G<br>Age=24.0<br>Sex=Sex_male<br>SHAP=-0.024",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>Age=18.0<br>Sex=Sex_male<br>SHAP=0.933",
+          "None=Sage, Mr. George John Jr<br>Age=nan<br>Sex=Sex_male<br>SHAP=1.073",
+          "None=Nysveen, Mr. Johan Hansen<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.121",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=45.0<br>Sex=Sex_male<br>SHAP=-0.120",
+          "None=Denkoff, Mr. Mitto<br>Age=32.0<br>Sex=Sex_male<br>SHAP=0.055",
+          "None=Burns, Miss. Elizabeth Margaret<br>Age=33.0<br>Sex=Sex_male<br>SHAP=0.282",
+          "None=Dimic, Mr. Jovan<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.215",
+          "None=del Carlo, Mr. Sebastiano<br>Age=62.0<br>Sex=Sex_male<br>SHAP=0.498",
+          "None=Beavan, Mr. William Thomas<br>Age=19.0<br>Sex=Sex_male<br>SHAP=-0.011",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=36.0<br>Sex=Sex_male<br>SHAP=13.178",
+          "None=Widener, Mr. Harry Elkins<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.343",
+          "None=Gustafsson, Mr. Karl Gideon<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.121",
+          "None=Plotcharsky, Mr. Vasil<br>Age=49.0<br>Sex=Sex_male<br>SHAP=-0.670",
+          "None=Goodwin, Master. Sidney Leonard<br>Age=35.0<br>Sex=Sex_male<br>SHAP=22.702",
+          "None=Sadlier, Mr. Matthew<br>Age=36.0<br>Sex=Sex_male<br>SHAP=0.910",
+          "None=Gustafsson, Mr. Johan Birger<br>Age=27.0<br>Sex=Sex_male<br>SHAP=-0.792",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.343",
+          "None=Niskanen, Mr. Juha<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.215",
+          "None=Minahan, Miss. Daisy E<br>Age=27.0<br>Sex=Sex_male<br>SHAP=-0.505",
+          "None=Matthews, Mr. William John<br>Age=26.0<br>Sex=Sex_male<br>SHAP=-0.188",
+          "None=Charters, Mr. David<br>Age=51.0<br>Sex=Sex_male<br>SHAP=0.236",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=32.0<br>Sex=Sex_male<br>SHAP=3.866",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.343",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>Age=23.0<br>Sex=Sex_male<br>SHAP=0.041",
+          "None=Peuchen, Major. Arthur Godfrey<br>Age=47.0<br>Sex=Sex_male<br>SHAP=-1.201",
+          "None=Anderson, Mr. Harry<br>Age=36.0<br>Sex=Sex_male<br>SHAP=1.077",
+          "None=Milling, Mr. Jacob Christian<br>Age=31.0<br>Sex=Sex_male<br>SHAP=0.473",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=27.0<br>Sex=Sex_male<br>SHAP=-3.491",
+          "None=Karlsson, Mr. Nils August<br>Age=14.0<br>Sex=Sex_male<br>SHAP=-1.434",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>Age=14.0<br>Sex=Sex_male<br>SHAP=0.340",
+          "None=Bishop, Mr. Dickinson H<br>Age=18.0<br>Sex=Sex_male<br>SHAP=0.088",
+          "None=Windelov, Mr. Einar<br>Age=42.0<br>Sex=Sex_male<br>SHAP=-0.052",
+          "None=Shellard, Mr. Frederick William<br>Age=26.0<br>Sex=Sex_male<br>SHAP=-0.314",
+          "None=Svensson, Mr. Olof<br>Age=42.0<br>Sex=Sex_male<br>SHAP=-0.149",
+          "None=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>Sex=Sex_male<br>SHAP=3.608",
+          "None=Laitinen, Miss. Kristina Sofia<br>Age=48.0<br>Sex=Sex_male<br>SHAP=-1.314",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>Age=29.0<br>Sex=Sex_male<br>SHAP=-0.252",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=52.0<br>Sex=Sex_male<br>SHAP=0.200",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.215",
+          "None=Kassem, Mr. Fared<br>Age=33.0<br>Sex=Sex_male<br>SHAP=0.492",
+          "None=Cacic, Miss. Marija<br>Age=34.0<br>Sex=Sex_male<br>SHAP=1.392",
+          "None=Hart, Miss. Eva Miriam<br>Age=23.0<br>Sex=Sex_male<br>SHAP=0.041",
+          "None=Butt, Major. Archibald Willingham<br>Age=23.0<br>Sex=Sex_male<br>SHAP=0.041",
+          "None=Beane, Mr. Edward<br>Age=28.5<br>Sex=Sex_male<br>SHAP=0.069",
+          "None=Goldsmith, Mr. Frank John<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.343",
+          "None=Ohman, Miss. Velin<br>Age=24.0<br>Sex=Sex_male<br>SHAP=-0.114",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=31.0<br>Sex=Sex_male<br>SHAP=-0.223",
+          "None=Morrow, Mr. Thomas Rowan<br>Age=28.0<br>Sex=Sex_male<br>SHAP=0.069",
+          "None=Harris, Mr. George<br>Age=16.0<br>Sex=Sex_male<br>SHAP=0.131",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.241",
+          "None=Patchett, Mr. George<br>Age=24.0<br>Sex=Sex_male<br>SHAP=-0.024",
+          "None=Ross, Mr. John Hugo<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.307",
+          "None=Murdlin, Mr. Joseph<br>Age=25.0<br>Sex=Sex_male<br>SHAP=-0.145",
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Age\"}, \"xaxis\": {\"title\": {\"text\": \"Age\"}}, \"yaxis\": {\"title\": {\"text\": \"SHAP value ($)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "<div>                            <div id=\"b7a64274-0772-458a-98fa-f0dd2b3fd4b0\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"b7a64274-0772-458a-98fa-f0dd2b3fd4b0\")) {                    Plotly.newPlot(                        \"b7a64274-0772-458a-98fa-f0dd2b3fd4b0\",                        [{\"hoverinfo\": \"text\", \"marker\": {\"opacity\": 0.6, \"showscale\": false, \"size\": 7}, \"mode\": \"markers\", \"name\": \"Sex_female\", \"opacity\": 0.8, \"showlegend\": true, \"text\": [\"None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=38.0<br>Sex=Sex_female<br>SHAP=7.294\", \"None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=35.0<br>Sex=Sex_female<br>SHAP=5.299\", \"None=Palsson, Master. Gosta Leonard<br>Age=27.0<br>Sex=Sex_female<br>SHAP=-0.329\", \"None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=14.0<br>Sex=Sex_female<br>SHAP=-0.299\", \"None=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>Sex=Sex_female<br>SHAP=0.184\", \"None=Saundercock, Mr. William Henry<br>Age=38.0<br>Sex=Sex_female<br>SHAP=0.435\", \"None=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=nan<br>Sex=Sex_female<br>SHAP=-0.108\", \"None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=19.0<br>Sex=Sex_female<br>SHAP=-0.555\", \"None=Glynn, Miss. Mary Agatha<br>Age=18.0<br>Sex=Sex_female<br>SHAP=-0.280\", \"None=Meyer, Mr. Edgar Joseph<br>Age=21.0<br>Sex=Sex_female<br>SHAP=-0.366\", \"None=Kraeff, Mr. Theodor<br>Age=17.0<br>Sex=Sex_female<br>SHAP=0.464\", \"None=Devaney, Miss. Margaret Delia<br>Age=nan<br>Sex=Sex_female<br>SHAP=-0.107\", \"None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=20.0<br>Sex=Sex_female<br>SHAP=-0.337\", \"None=Rugg, Miss. Emily<br>Age=9.0<br>Sex=Sex_female<br>SHAP=0.286\", \"None=Harris, Mr. Henry Birkhardt<br>Age=nan<br>Sex=Sex_female<br>SHAP=3.755\", \"None=Skoog, Master. Harald<br>Age=19.0<br>Sex=Sex_female<br>SHAP=-0.452\", \"None=Kink, Mr. Vincenz<br>Age=44.0<br>Sex=Sex_female<br>SHAP=5.828\", \"None=Hood, Mr. Ambrose Jr<br>Age=5.0<br>Sex=Sex_female<br>SHAP=0.194\", \"None=Ilett, Miss. Bertha<br>Age=nan<br>Sex=Sex_female<br>SHAP=0.170\", \"None=Ford, Mr. William Neal<br>Age=nan<br>Sex=Sex_female<br>SHAP=-4.277\", \"None=Christmann, Mr. Emil<br>Age=50.0<br>Sex=Sex_female<br>SHAP=3.662\", \"None=Andreasson, Mr. Paul Edvin<br>Age=nan<br>Sex=Sex_female<br>SHAP=-0.108\", \"None=Chaffee, Mr. Herbert Fuller<br>Age=63.0<br>Sex=Sex_female<br>SHAP=-1.548\", \"None=Petroff, Mr. Pastcho (\\\"Pentcho\\\")<br>Age=35.0<br>Sex=Sex_female<br>SHAP=1.210\", \"None=White, Mr. Richard Frasar<br>Age=22.0<br>Sex=Sex_female<br>SHAP=-0.568\", \"None=Rekic, Mr. Tido<br>Age=19.0<br>Sex=Sex_female<br>SHAP=-4.351\", \"None=Moran, Miss. Bertha<br>Age=nan<br>Sex=Sex_female<br>SHAP=-0.920\", \"None=Barton, Mr. David John<br>Age=41.0<br>Sex=Sex_female<br>SHAP=4.131\", \"None=Jussila, Miss. Katriina<br>Age=nan<br>Sex=Sex_female<br>SHAP=-4.179\", \"None=Pekoniemi, Mr. Edvard<br>Age=24.0<br>Sex=Sex_female<br>SHAP=-0.267\", \"None=Turpin, Mr. William John Robert<br>Age=33.0<br>Sex=Sex_female<br>SHAP=3.678\", \"None=Moore, Mr. Leonard Charles<br>Age=19.0<br>Sex=Sex_female<br>SHAP=-0.358\", \"None=Osen, Mr. Olaf Elon<br>Age=45.0<br>Sex=Sex_female<br>SHAP=0.331\", \"None=Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Age=33.0<br>Sex=Sex_female<br>SHAP=0.430\", \"None=Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Age=nan<br>Sex=Sex_female<br>SHAP=-0.003\", \"None=Bateman, Rev. 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Carla Christine Nielsine<br>Age=nan<br>Sex=Sex_male<br>SHAP=1.872\", \"None=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=61.0<br>Sex=Sex_male<br>SHAP=0.026\", \"None=Vande Walle, Mr. Nestor Cyriel<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.343\", \"None=Backstrom, Mr. Karl Alfred<br>Age=42.0<br>Sex=Sex_male<br>SHAP=0.076\", \"None=Blank, Mr. Henry<br>Age=29.0<br>Sex=Sex_male<br>SHAP=-0.477\", \"None=Ali, Mr. Ahmed<br>Age=19.0<br>Sex=Sex_male<br>SHAP=-0.011\", \"None=Green, Mr. George Henry<br>Age=27.0<br>Sex=Sex_male<br>SHAP=2.836\", \"None=Nenkoff, Mr. Christo<br>Age=19.0<br>Sex=Sex_male<br>SHAP=-0.011\", \"None=Asplund, Miss. Lillian Gertrud<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.343\", \"None=Harknett, Miss. Alice Phoebe<br>Age=1.0<br>Sex=Sex_male<br>SHAP=-1.452\", \"None=Hunt, Mr. George Henry<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.215\", \"None=Reed, Mr. James George<br>Age=28.0<br>Sex=Sex_male<br>SHAP=0.147\", \"None=Stead, Mr. William Thomas<br>Age=39.0<br>Sex=Sex_male<br>SHAP=0.830\", \"None=Thorne, Mrs. Gertrude Maybelle<br>Age=30.0<br>Sex=Sex_male<br>SHAP=-0.116\", \"None=Parrish, Mrs. (Lutie Davis)<br>Age=21.0<br>Sex=Sex_male<br>SHAP=-0.107\", \"None=Smith, Mr. Thomas<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.254\", \"None=Asplund, Master. Edvin Rojj Felix<br>Age=52.0<br>Sex=Sex_male<br>SHAP=-2.205\", \"None=Healy, Miss. Hanora \\\"Nora\\\"<br>Age=48.0<br>Sex=Sex_male<br>SHAP=-0.813\", \"None=Andrews, Miss. Kornelia Theodosia<br>Age=48.0<br>Sex=Sex_male<br>SHAP=0.396\", \"None=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=22.0<br>Sex=Sex_male<br>SHAP=-0.023\", \"None=Smith, Mr. Richard William<br>Age=nan<br>Sex=Sex_male<br>SHAP=-0.193\", \"None=Connolly, Miss. Kate<br>Age=25.0<br>Sex=Sex_male<br>SHAP=-2.557\", \"None=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=21.0<br>Sex=Sex_male<br>SHAP=-0.026\", \"None=Levy, Mr. Rene Jacques<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.343\", \"None=Lewy, Mr. Ervin G<br>Age=24.0<br>Sex=Sex_male<br>SHAP=-0.024\", \"None=Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Age=18.0<br>Sex=Sex_male<br>SHAP=0.933\", \"None=Sage, Mr. George John Jr<br>Age=nan<br>Sex=Sex_male<br>SHAP=1.073\", \"None=Nysveen, Mr. Johan Hansen<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.121\", \"None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=45.0<br>Sex=Sex_male<br>SHAP=-0.120\", \"None=Denkoff, Mr. Mitto<br>Age=32.0<br>Sex=Sex_male<br>SHAP=0.055\", \"None=Burns, Miss. Elizabeth Margaret<br>Age=33.0<br>Sex=Sex_male<br>SHAP=0.282\", \"None=Dimic, Mr. Jovan<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.215\", \"None=del Carlo, Mr. Sebastiano<br>Age=62.0<br>Sex=Sex_male<br>SHAP=0.498\", \"None=Beavan, Mr. William Thomas<br>Age=19.0<br>Sex=Sex_male<br>SHAP=-0.011\", \"None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=36.0<br>Sex=Sex_male<br>SHAP=13.178\", \"None=Widener, Mr. Harry Elkins<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.343\", \"None=Gustafsson, Mr. Karl Gideon<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.121\", \"None=Plotcharsky, Mr. Vasil<br>Age=49.0<br>Sex=Sex_male<br>SHAP=-0.670\", \"None=Goodwin, Master. Sidney Leonard<br>Age=35.0<br>Sex=Sex_male<br>SHAP=22.702\", \"None=Sadlier, Mr. Matthew<br>Age=36.0<br>Sex=Sex_male<br>SHAP=0.910\", \"None=Gustafsson, Mr. Johan Birger<br>Age=27.0<br>Sex=Sex_male<br>SHAP=-0.792\", \"None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.343\", \"None=Niskanen, Mr. Juha<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.215\", \"None=Minahan, Miss. Daisy E<br>Age=27.0<br>Sex=Sex_male<br>SHAP=-0.505\", \"None=Matthews, Mr. William John<br>Age=26.0<br>Sex=Sex_male<br>SHAP=-0.188\", \"None=Charters, Mr. David<br>Age=51.0<br>Sex=Sex_male<br>SHAP=0.236\", \"None=Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Age=32.0<br>Sex=Sex_male<br>SHAP=3.866\", \"None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.343\", \"None=Johannesen-Bratthammer, Mr. Bernt<br>Age=23.0<br>Sex=Sex_male<br>SHAP=0.041\", \"None=Peuchen, Major. Arthur Godfrey<br>Age=47.0<br>Sex=Sex_male<br>SHAP=-1.201\", \"None=Anderson, Mr. Harry<br>Age=36.0<br>Sex=Sex_male<br>SHAP=1.077\", \"None=Milling, Mr. Jacob Christian<br>Age=31.0<br>Sex=Sex_male<br>SHAP=0.473\", \"None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=27.0<br>Sex=Sex_male<br>SHAP=-3.491\", \"None=Karlsson, Mr. Nils August<br>Age=14.0<br>Sex=Sex_male<br>SHAP=-1.434\", \"None=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Age=14.0<br>Sex=Sex_male<br>SHAP=0.340\", \"None=Bishop, Mr. Dickinson H<br>Age=18.0<br>Sex=Sex_male<br>SHAP=0.088\", \"None=Windelov, Mr. Einar<br>Age=42.0<br>Sex=Sex_male<br>SHAP=-0.052\", \"None=Shellard, Mr. Frederick William<br>Age=26.0<br>Sex=Sex_male<br>SHAP=-0.314\", \"None=Svensson, Mr. Olof<br>Age=42.0<br>Sex=Sex_male<br>SHAP=-0.149\", \"None=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>Sex=Sex_male<br>SHAP=3.608\", \"None=Laitinen, Miss. Kristina Sofia<br>Age=48.0<br>Sex=Sex_male<br>SHAP=-1.314\", \"None=Penasco y Castellana, Mr. Victor de Satode<br>Age=29.0<br>Sex=Sex_male<br>SHAP=-0.252\", \"None=Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Age=52.0<br>Sex=Sex_male<br>SHAP=0.200\", \"None=Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.215\", \"None=Kassem, Mr. Fared<br>Age=33.0<br>Sex=Sex_male<br>SHAP=0.492\", \"None=Cacic, Miss. Marija<br>Age=34.0<br>Sex=Sex_male<br>SHAP=1.392\", \"None=Hart, Miss. Eva Miriam<br>Age=23.0<br>Sex=Sex_male<br>SHAP=0.041\", \"None=Butt, Major. Archibald Willingham<br>Age=23.0<br>Sex=Sex_male<br>SHAP=0.041\", \"None=Beane, Mr. Edward<br>Age=28.5<br>Sex=Sex_male<br>SHAP=0.069\", \"None=Goldsmith, Mr. Frank John<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.343\", \"None=Ohman, Miss. Velin<br>Age=24.0<br>Sex=Sex_male<br>SHAP=-0.114\", \"None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=31.0<br>Sex=Sex_male<br>SHAP=-0.223\", \"None=Morrow, Mr. Thomas Rowan<br>Age=28.0<br>Sex=Sex_male<br>SHAP=0.069\", \"None=Harris, Mr. George<br>Age=16.0<br>Sex=Sex_male<br>SHAP=0.131\", \"None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.241\", \"None=Patchett, Mr. George<br>Age=24.0<br>Sex=Sex_male<br>SHAP=-0.024\", \"None=Ross, Mr. John Hugo<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.307\", \"None=Murdlin, Mr. Joseph<br>Age=25.0<br>Sex=Sex_male<br>SHAP=-0.145\", \"None=Bourke, Miss. Mary<br>Age=46.0<br>Sex=Sex_male<br>SHAP=4.066\", \"None=Boulos, Mr. Hanna<br>Age=11.0<br>Sex=Sex_male<br>SHAP=7.176\", \"None=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Age=0.42<br>Sex=Sex_male<br>SHAP=0.047\", \"None=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Age=31.0<br>Sex=Sex_male<br>SHAP=-0.157\", \"None=Lindell, Mr. Edvard Bengtsson<br>Age=35.0<br>Sex=Sex_male<br>SHAP=1.354\", \"None=Daniel, Mr. Robert Williams<br>Age=30.5<br>Sex=Sex_male<br>SHAP=-0.146\", \"None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.084\", \"None=Shutes, Miss. Elizabeth W<br>Age=0.83<br>Sex=Sex_male<br>SHAP=0.241\", \"None=Jardin, Mr. Jose Neto<br>Age=16.0<br>Sex=Sex_male<br>SHAP=0.887\", \"None=Horgan, Mr. John<br>Age=34.5<br>Sex=Sex_male<br>SHAP=2.974\", \"None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=nan<br>Sex=Sex_male<br>SHAP=1.872\", \"None=Yasbeck, Mr. Antoni<br>Age=nan<br>Sex=Sex_male<br>SHAP=0.121\", \"None=Bostandyeff, Mr. Guentcho<br>Age=4.0<br>Sex=Sex_male<br>SHAP=0.310\", \"None=Lundahl, Mr. Johan Svensson<br>Age=33.0<br>Sex=Sex_male<br>SHAP=1.967\", \"None=Stahelin-Maeglin, Dr. Max<br>Age=20.0<br>Sex=Sex_male<br>SHAP=-0.011\", \"None=Willey, Mr. Edward<br>Age=27.0<br>Sex=Sex_male<br>SHAP=-0.177\"], \"type\": \"scattergl\", \"x\": [2.0, 20.0, 28.0, null, 45.0, 4.0, 26.0, 21.0, 16.0, 29.0, 20.0, 46.0, null, 21.0, 38.0, 22.0, 21.0, 29.0, null, 16.0, 36.5, 51.0, 55.5, 44.0, 61.0, 21.0, 18.0, null, 28.0, 32.0, 40.0, 24.0, 51.0, null, 33.0, null, 62.0, null, 3.0, null, 36.0, null, null, null, 61.0, null, 42.0, 29.0, 19.0, 27.0, 19.0, null, 1.0, null, 28.0, 39.0, 30.0, 21.0, null, 52.0, 48.0, 48.0, 22.0, null, 25.0, 21.0, null, 24.0, 18.0, null, null, 45.0, 32.0, 33.0, null, 62.0, 19.0, 36.0, null, null, 49.0, 35.0, 36.0, 27.0, null, null, 27.0, 26.0, 51.0, 32.0, null, 23.0, 47.0, 36.0, 31.0, 27.0, 14.0, 14.0, 18.0, 42.0, 26.0, 42.0, null, 48.0, 29.0, 52.0, null, 33.0, 34.0, 23.0, 23.0, 28.5, null, 24.0, 31.0, 28.0, 16.0, null, 24.0, null, 25.0, 46.0, 11.0, 0.42, 31.0, 35.0, 30.5, null, 0.83, 16.0, 34.5, null, null, 4.0, 33.0, 20.0, 27.0], \"y\": [0.49146947999602514, -0.010847887635784417, -2.5817112224149867, 0.1209166256908297, -1.5707824363601188, 0.357457939438461, -0.06212847760804008, 0.017871878382685724, 0.13487100226011825, -0.25244405402655706, -0.010847887635784417, -0.6160672037217677, 0.3432846212117614, 2.6857691969929274, 0.5396406170836882, -0.02260474993744398, -0.025524497565680076, -0.27138160761253194, 0.3432846212117614, 0.13053604025766255, 1.0108338637996555, 0.3202254835988891, 0.011862263039156792, 0.05784977134794637, -2.2607947885004025, -0.025524497565680076, 0.10728326041188828, 1.7588309377839306, 0.06877764227324058, -0.17873918163407615, 3.6834360545865863, -0.024116470864005705, 0.23582397512366554, 0.3432846212117614, 0.48117457920525925, 0.3432846212117614, -2.6596933976116905, 0.2154455940418241, 0.22941241203144466, 1.7588309377839306, 2.132082138270907, 0.1361033457152938, 0.3432846212117614, 1.8718706014557478, 0.026253128243196804, 0.3432846212117614, 0.07558907452507205, -0.4768170380943938, -0.010847887635784417, 2.835964436613428, -0.010847887635784417, 0.3432846212117614, -1.4518603486733395, 0.2154455940418241, 0.14695328157244458, 0.8297733278340897, -0.11639593091124148, -0.10706952693955157, 0.2540337107544315, -2.2046265475537443, -0.8129297764047908, 0.39605843609818586, -0.02260474993744398, -0.19312194671376368, -2.5570924386032887, -0.025524497565680076, 0.3432846212117614, -0.024116470864005705, 0.9326354999214804, 1.0727215261997967, 0.1209166256908297, -0.1199047615383532, 0.05517944991031064, 0.2818636636428384, 0.2154455940418241, 0.49772586629912247, -0.010847887635784417, 13.178025453661913, 0.3432846212117614, 0.1209166256908297, -0.6703751824071789, 22.702355620310833, 0.9096828705310643, -0.7916787003766437, 0.3432846212117614, 0.2154455940418241, -0.5053248869219937, -0.18770031665854364, 0.23582397512366554, 3.865525785897028, 0.3432846212117614, 0.040838877444872204, -1.2010396695137937, 1.0773925019503388, 0.4734796895894062, -3.490951981848301, -1.4336322984098664, 0.340309019535249, 0.08804273794385263, -0.051755140207516946, -0.3144048763857761, -0.1491697040983184, 3.608429150095552, -1.3135953995112193, -0.25244405402655706, 0.20017824922060407, 0.2154455940418241, 0.4917054192613568, 1.39222519767839, 0.040838877444872204, 0.040838877444872204, 0.06877764227324058, 0.3432846212117614, -0.11369062995504578, -0.22263082789104732, 0.06877764227324058, 0.13053604025766255, 0.2410450566010706, -0.024116470864005705, 0.3066631261464099, -0.14508073399210775, 4.066088522820349, 7.175988073420611, 0.04674931565031752, -0.1568357728429055, 1.3540543523109436, -0.14563047773773347, 0.08360078993972513, 0.24115724658871793, 0.8874676309295747, 2.973642832438085, 1.8718706014557478, 0.1209166256908297, 0.3102624466755316, 1.9668027039473852, -0.010847887635784417, -0.1766273180314128]}],                        {\"hovermode\": \"closest\", \"paper_bgcolor\": \"#fff\", \"plot_bgcolor\": \"#fff\", \"showlegend\": true, \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Dependence plot for Age\"}, \"xaxis\": {\"title\": {\"text\": \"Age\"}}, \"yaxis\": {\"title\": {\"text\": \"SHAP value ($)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('4ac88d7d-34db-4b45-89a4-7f9c1bc3e6df');\n",
+       "var gd = document.getElementById('b7a64274-0772-458a-98fa-f0dd2b3fd4b0');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -103073,24 +63758,23 @@
     }
    ],
    "source": [
-    "\n",
-    "explainer.plot_dependence(\", color_col=\"Sex\", highlight_index=5)"
+    "explainer.plot_dependence(\"Age\", color_col=\"Sex\")"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Shap interactions plots"
+    "### Highlight particular index"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 63,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:47:26.996378Z",
-     "start_time": "2020-10-12T08:47:26.979955Z"
+     "end_time": "2021-01-20T16:03:19.446564Z",
+     "start_time": "2021-01-20T16:03:19.295035Z"
     }
    },
    "outputs": [
@@ -103101,650 +63785,1481 @@
         "plotlyServerURL": "https://plot.ly"
        },
        "data": [
+        {
+         "box": {
+          "visible": true
+         },
+         "meanline": {
+          "visible": true
+         },
+         "name": "A",
+         "showlegend": false,
+         "type": "violin",
+         "x": [
+          "A",
+          "A",
+          "A",
+          "A",
+          "A"
+         ],
+         "xaxis": "x",
+         "y": [
+          -4.5321713212789465,
+          -11.30244124915202,
+          -4.5321713212789465,
+          -8.683470615790911,
+          -8.939193139862388
+         ],
+         "yaxis": "y"
+        },
         {
          "hoverinfo": "text",
          "marker": {
-          "opacity": 0.6,
-          "showscale": false,
+          "color": "#636EFA",
+          "opacity": 0.3,
+          "size": 7
+         },
+         "mode": "markers",
+         "name": "male",
+         "showlegend": true,
+         "text": [
+          "None: Rood, Mr. Hugh Roscoe<br>shap: -4.532<br>Sex: male",
+          "None: Blank, Mr. Henry<br>shap: -11.302<br>Sex: male",
+          "None: Smith, Mr. Richard William<br>shap: -4.532<br>Sex: male",
+          "None: Ross, Mr. John Hugo<br>shap: -8.683<br>Sex: male",
+          "None: Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>shap: -8.939<br>Sex: male"
+         ],
+         "type": "scattergl",
+         "x": [
+          -0.7729554308989285,
+          -0.13196579663404925,
+          -1.160442700482072,
+          -0.8747621812468348,
+          0.8081509965509666
+         ],
+         "xaxis": "x2",
+         "y": [
+          -4.5321713212789465,
+          -11.30244124915202,
+          -4.5321713212789465,
+          -8.683470615790911,
+          -8.939193139862388
+         ],
+         "yaxis": "y2"
+        },
+        {
+         "hoverinfo": "text",
+         "marker": {
+          "color": "#EF553B",
+          "opacity": 0.3,
+          "size": 7
+         },
+         "mode": "markers",
+         "name": "female",
+         "showlegend": true,
+         "text": [],
+         "type": "scattergl",
+         "x": [],
+         "xaxis": "x2",
+         "y": [],
+         "yaxis": "y2"
+        },
+        {
+         "box": {
+          "visible": true
+         },
+         "meanline": {
+          "visible": true
+         },
+         "name": "B",
+         "showlegend": false,
+         "type": "violin",
+         "x": [
+          "B",
+          "B",
+          "B",
+          "B",
+          "B",
+          "B",
+          "B",
+          "B",
+          "B",
+          "B",
+          "B",
+          "B",
+          "B",
+          "B"
+         ],
+         "xaxis": "x3",
+         "y": [
+          3.5446288159573247,
+          11.587875029064568,
+          9.104177305564356,
+          23.800537131130643,
+          4.3552055498052855,
+          31.243956941528587,
+          3.347955949568892,
+          3.138008876086155,
+          3.1627785036756046,
+          4.527813599691167,
+          2.952061491925593,
+          20.1872893128926,
+          11.477073463470678,
+          4.320744351443549
+         ],
+         "yaxis": "y3"
+        },
+        {
+         "hoverinfo": "text",
+         "marker": {
+          "color": "#636EFA",
+          "opacity": 0.3,
+          "size": 7
+         },
+         "mode": "markers",
+         "name": "male",
+         "showlegend": false,
+         "text": [
+          "None: Van der hoef, Mr. Wyckoff<br>shap: 3.545<br>Sex: male",
+          "None: Bishop, Mr. Dickinson H<br>shap: 23.801<br>Sex: male",
+          "None: Butt, Major. Archibald Willingham<br>shap: 4.355<br>Sex: male",
+          "None: Stahelin-Maeglin, Dr. Max<br>shap: 31.244<br>Sex: male",
+          "None: Davidson, Mr. Thornton<br>shap: 3.348<br>Sex: male",
+          "None: Guggenheim, Mr. Benjamin<br>shap: 20.187<br>Sex: male",
+          "None: Carter, Master. William Thornton II<br>shap: 11.477<br>Sex: male",
+          "None: Carlsson, Mr. Frans Olof<br>shap: 4.321<br>Sex: male"
+         ],
+         "type": "scattergl",
+         "x": [
+          -1.4341809742292781,
+          -0.6192863401115573,
+          -0.39348425906141554,
+          0.5075412690426111,
+          0.7050677472426142,
+          -0.5872820580584268,
+          0.7447214214478336,
+          1.4133133535396836
+         ],
+         "xaxis": "x4",
+         "y": [
+          3.5446288159573247,
+          23.800537131130643,
+          4.3552055498052855,
+          31.243956941528587,
+          3.347955949568892,
+          20.1872893128926,
+          11.477073463470678,
+          4.320744351443549
+         ],
+         "yaxis": "y4"
+        },
+        {
+         "hoverinfo": "text",
+         "marker": {
+          "color": "#EF553B",
+          "opacity": 0.3,
           "size": 7
          },
          "mode": "markers",
          "name": "female",
-         "opacity": 0.8,
          "showlegend": true,
          "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>PassengerClass=1<br>Sex=female<br>SHAP=4.34",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>PassengerClass=1<br>Sex=female<br>SHAP=4.73",
-          "index=Palsson, Master. Gosta Leonard<br>PassengerClass=3<br>Sex=female<br>SHAP=-1.11",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>PassengerClass=2<br>Sex=female<br>SHAP=-1.33",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>PassengerClass=3<br>Sex=female<br>SHAP=-2.35",
-          "index=Saundercock, Mr. William Henry<br>PassengerClass=3<br>Sex=female<br>SHAP=-0.98",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>PassengerClass=3<br>Sex=female<br>SHAP=-2.18",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>PassengerClass=3<br>Sex=female<br>SHAP=-2.12",
-          "index=Glynn, Miss. Mary Agatha<br>PassengerClass=3<br>Sex=female<br>SHAP=-1.53",
-          "index=Meyer, Mr. Edgar Joseph<br>PassengerClass=2<br>Sex=female<br>SHAP=-2.29",
-          "index=Kraeff, Mr. Theodor<br>PassengerClass=2<br>Sex=female<br>SHAP=-2.29",
-          "index=Devaney, Miss. Margaret Delia<br>PassengerClass=3<br>Sex=female<br>SHAP=-1.49",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>PassengerClass=3<br>Sex=female<br>SHAP=-1.53",
-          "index=Rugg, Miss. Emily<br>PassengerClass=3<br>Sex=female<br>SHAP=-0.95",
-          "index=Harris, Mr. Henry Birkhardt<br>PassengerClass=1<br>Sex=female<br>SHAP=3.25",
-          "index=Skoog, Master. Harald<br>PassengerClass=3<br>Sex=female<br>SHAP=-1.58",
-          "index=Kink, Mr. Vincenz<br>PassengerClass=1<br>Sex=female<br>SHAP=2.35",
-          "index=Hood, Mr. Ambrose Jr<br>PassengerClass=3<br>Sex=female<br>SHAP=-0.9",
-          "index=Ilett, Miss. Bertha<br>PassengerClass=3<br>Sex=female<br>SHAP=-2.35",
-          "index=Ford, Mr. William Neal<br>PassengerClass=1<br>Sex=female<br>SHAP=6.3",
-          "index=Christmann, Mr. Emil<br>PassengerClass=2<br>Sex=female<br>SHAP=-1.93",
-          "index=Andreasson, Mr. Paul Edvin<br>PassengerClass=3<br>Sex=female<br>SHAP=-2.18",
-          "index=Chaffee, Mr. Herbert Fuller<br>PassengerClass=1<br>Sex=female<br>SHAP=4.43",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>PassengerClass=3<br>Sex=female<br>SHAP=-1.63",
-          "index=White, Mr. Richard Frasar<br>PassengerClass=3<br>Sex=female<br>SHAP=-2.12",
-          "index=Rekic, Mr. Tido<br>PassengerClass=1<br>Sex=female<br>SHAP=0.17",
-          "index=Moran, Miss. Bertha<br>PassengerClass=1<br>Sex=female<br>SHAP=5.48",
-          "index=Barton, Mr. David John<br>PassengerClass=1<br>Sex=female<br>SHAP=6.3",
-          "index=Jussila, Miss. Katriina<br>PassengerClass=1<br>Sex=female<br>SHAP=4.5",
-          "index=Pekoniemi, Mr. Edvard<br>PassengerClass=3<br>Sex=female<br>SHAP=-0.8",
-          "index=Turpin, Mr. William John Robert<br>PassengerClass=1<br>Sex=female<br>SHAP=4.18",
-          "index=Moore, Mr. Leonard Charles<br>PassengerClass=2<br>Sex=female<br>SHAP=-2.29",
-          "index=Osen, Mr. Olaf Elon<br>PassengerClass=2<br>Sex=female<br>SHAP=-1.71",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>PassengerClass=2<br>Sex=female<br>SHAP=-1.48",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>PassengerClass=3<br>Sex=female<br>SHAP=-2.13",
-          "index=Bateman, Rev. Robert James<br>PassengerClass=3<br>Sex=female<br>SHAP=-3.12",
-          "index=Meo, Mr. Alfonzo<br>PassengerClass=2<br>Sex=female<br>SHAP=-2.07",
-          "index=Cribb, Mr. John Hatfield<br>PassengerClass=3<br>Sex=female<br>SHAP=-2.37",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>PassengerClass=2<br>Sex=female<br>SHAP=-1.12",
-          "index=Van der hoef, Mr. Wyckoff<br>PassengerClass=3<br>Sex=female<br>SHAP=-2.35",
-          "index=Sivola, Mr. Antti Wilhelm<br>PassengerClass=1<br>Sex=female<br>SHAP=3.74",
-          "index=Klasen, Mr. Klas Albin<br>PassengerClass=1<br>Sex=female<br>SHAP=4.57",
-          "index=Rood, Mr. Hugh Roscoe<br>PassengerClass=3<br>Sex=female<br>SHAP=-1.05",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>PassengerClass=2<br>Sex=female<br>SHAP=-0.92",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>PassengerClass=1<br>Sex=female<br>SHAP=7.66",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>PassengerClass=3<br>Sex=female<br>SHAP=-1.6",
-          "index=Backstrom, Mr. Karl Alfred<br>PassengerClass=3<br>Sex=female<br>SHAP=-2.38",
-          "index=Blank, Mr. Henry<br>PassengerClass=3<br>Sex=female<br>SHAP=-2.07",
-          "index=Ali, Mr. Ahmed<br>PassengerClass=2<br>Sex=female<br>SHAP=-1.75",
-          "index=Green, Mr. George Henry<br>PassengerClass=3<br>Sex=female<br>SHAP=-2.35",
-          "index=Nenkoff, Mr. Christo<br>PassengerClass=1<br>Sex=female<br>SHAP=3.39",
-          "index=Asplund, Miss. Lillian Gertrud<br>PassengerClass=2<br>Sex=female<br>SHAP=-2.09",
-          "index=Harknett, Miss. Alice Phoebe<br>PassengerClass=1<br>Sex=female<br>SHAP=4.68",
-          "index=Hunt, Mr. George Henry<br>PassengerClass=1<br>Sex=female<br>SHAP=4.83",
-          "index=Reed, Mr. James George<br>PassengerClass=1<br>Sex=female<br>SHAP=4.43",
-          "index=Stead, Mr. William Thomas<br>PassengerClass=1<br>Sex=female<br>SHAP=2.04",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>PassengerClass=3<br>Sex=female<br>SHAP=-1.92",
-          "index=Parrish, Mrs. (Lutie Davis)<br>PassengerClass=1<br>Sex=female<br>SHAP=2.31",
-          "index=Smith, Mr. Thomas<br>PassengerClass=3<br>Sex=female<br>SHAP=-2.35",
-          "index=Asplund, Master. Edvin Rojj Felix<br>PassengerClass=1<br>Sex=female<br>SHAP=7.38",
-          "index=Healy, Miss. Hanora \"Nora\"<br>PassengerClass=2<br>Sex=female<br>SHAP=-1.17",
-          "index=Andrews, Miss. Kornelia Theodosia<br>PassengerClass=3<br>Sex=female<br>SHAP=-1.06",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>PassengerClass=3<br>Sex=female<br>SHAP=-1.18"
+          "None: Brown, Mrs. James Joseph (Margaret Tobin)<br>shap: 11.588<br>Sex: female",
+          "None: Bishop, Mrs. Dickinson H (Helen Walton)<br>shap: 9.104<br>Sex: female",
+          "None: Allen, Miss. Elisabeth Walton<br>shap: 3.138<br>Sex: female",
+          "None: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>shap: 3.163<br>Sex: female",
+          "None: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>shap: 4.528<br>Sex: female",
+          "None: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>shap: 2.952<br>Sex: female"
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+          "C",
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+          "C",
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+         "mode": "markers",
+         "name": "male",
+         "showlegend": false,
+         "text": [
+          "None: Harris, Mr. Henry Birkhardt<br>shap: 2.331<br>Sex: male",
+          "None: Stead, Mr. William Thomas<br>shap: 2.170<br>Sex: male",
+          "None: Widener, Mr. Harry Elkins<br>shap: -2.076<br>Sex: male",
+          "None: Peuchen, Major. Arthur Godfrey<br>shap: -0.616<br>Sex: male",
+          "None: Penasco y Castellana, Mr. Victor de Satode<br>shap: -1.371<br>Sex: male",
+          "None: Klaber, Mr. Herman<br>shap: 4.321<br>Sex: male",
+          "None: Taylor, Mr. Elmer Zebley<br>shap: -0.003<br>Sex: male"
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+         "yaxis": "y6"
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+        {
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+         "marker": {
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+          "opacity": 0.3,
+          "size": 7
+         },
+         "mode": "markers",
+         "name": "female",
+         "showlegend": false,
+         "text": [
+          "None: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>shap: -4.130<br>Sex: female",
+          "None: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>shap: 1.306<br>Sex: female",
+          "None: Minahan, Miss. Daisy E<br>shap: -1.718<br>Sex: female",
+          "None: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>shap: -1.714<br>Sex: female",
+          "None: Shutes, Miss. Elizabeth W<br>shap: -0.281<br>Sex: female",
+          "None: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>shap: -1.769<br>Sex: female"
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+         "type": "scattergl",
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+         "showlegend": false,
+         "type": "violin",
+         "x": [
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+          "D",
+          "D",
+          "D",
+          "D",
+          "D"
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+         "xaxis": "x7",
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+         "yaxis": "y7"
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+         "marker": {
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+          "opacity": 0.3,
+          "size": 7
+         },
+         "mode": "markers",
+         "name": "male",
+         "showlegend": false,
+         "text": [
+          "None: White, Mr. Richard Frasar<br>shap: -14.228<br>Sex: male",
+          "None: Levy, Mr. Rene Jacques<br>shap: -1.619<br>Sex: male",
+          "None: Hassab, Mr. Hammad<br>shap: -9.147<br>Sex: male"
+         ],
+         "type": "scattergl",
+         "x": [
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+         "xaxis": "x8",
+         "y": [
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+         "yaxis": "y8"
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+        {
+         "hoverinfo": "text",
+         "marker": {
+          "color": "#EF553B",
+          "opacity": 0.3,
+          "size": 7
+         },
+         "mode": "markers",
+         "name": "female",
+         "showlegend": false,
+         "text": [
+          "None: Andrews, Miss. Kornelia Theodosia<br>shap: -7.666<br>Sex: female",
+          "None: Hogeboom, Mrs. John C (Anna Andrews)<br>shap: -7.829<br>Sex: female",
+          "None: Leader, Dr. Alice (Farnham)<br>shap: -8.540<br>Sex: female"
+         ],
+         "type": "scattergl",
+         "x": [
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+         "xaxis": "x8",
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+         "yaxis": "y8"
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+         "name": "E",
+         "showlegend": false,
+         "type": "violin",
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+          "E",
+          "E",
+          "E",
+          "E",
+          "E",
+          "E",
+          "E"
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+         "xaxis": "x9",
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+         "yaxis": "y9"
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+        {
+         "hoverinfo": "text",
+         "marker": {
+          "color": "#636EFA",
+          "opacity": 0.3,
+          "size": 7
+         },
+         "mode": "markers",
+         "name": "male",
+         "showlegend": false,
+         "text": [
+          "None: Chaffee, Mr. Herbert Fuller<br>shap: -3.432<br>Sex: male",
+          "None: Anderson, Mr. Harry<br>shap: -5.383<br>Sex: male",
+          "None: Colley, Mr. Edward Pomeroy<br>shap: -3.659<br>Sex: male",
+          "None: Calderhead, Mr. Edward Pennington<br>shap: -5.462<br>Sex: male"
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+         "type": "scattergl",
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+         "xaxis": "x10",
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+         "yaxis": "y10"
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+        {
+         "hoverinfo": "text",
+         "marker": {
+          "color": "#EF553B",
+          "opacity": 0.3,
+          "size": 7
+         },
+         "mode": "markers",
+         "name": "female",
+         "showlegend": false,
+         "text": [
+          "None: Chibnall, Mrs. (Edith Martha Bowerman)<br>shap: -5.988<br>Sex: female",
+          "None: Burns, Miss. Elizabeth Margaret<br>shap: -8.439<br>Sex: female",
+          "None: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>shap: -5.615<br>Sex: female",
+          "None: Troutt, Miss. Edwina Celia \"Winnie\"<br>shap: -0.930<br>Sex: female"
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+         "type": "scattergl",
+         "x": [
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+         "xaxis": "x10",
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+         "yaxis": "y10"
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+        {
+         "box": {
+          "visible": true
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+         "meanline": {
+          "visible": true
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+         "name": "F",
+         "showlegend": false,
+         "type": "violin",
+         "x": [
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+          "F"
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+         "xaxis": "x11",
+         "y": [
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+         "yaxis": "y11"
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+        {
+         "hoverinfo": "text",
+         "marker": {
+          "color": "#636EFA",
+          "opacity": 0.3,
+          "size": 7
+         },
+         "mode": "markers",
+         "name": "male",
+         "showlegend": false,
+         "text": [
+          "None: Navratil, Mr. Michel (\"Louis M Hoffman\")<br>shap: -1.173<br>Sex: male",
+          "None: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>shap: -0.859<br>Sex: male"
+         ],
+         "type": "scattergl",
+         "x": [
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+         "xaxis": "x12",
+         "y": [
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+         "yaxis": "y12"
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+        {
+         "hoverinfo": "text",
+         "marker": {
+          "color": "#EF553B",
+          "opacity": 0.3,
+          "size": 7
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+         "mode": "markers",
+         "name": "female",
+         "showlegend": false,
+         "text": [],
+         "type": "scattergl",
+         "x": [],
+         "xaxis": "x12",
+         "y": [],
+         "yaxis": "y12"
+        },
+        {
+         "box": {
+          "visible": true
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+         "meanline": {
+          "visible": true
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+         "name": "G",
+         "showlegend": false,
+         "type": "violin",
+         "x": [
+          "G"
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+         "xaxis": "x13",
+         "y": [
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+         "yaxis": "y13"
+        },
+        {
+         "hoverinfo": "text",
+         "marker": {
+          "color": "#636EFA",
+          "opacity": 0.3,
+          "size": 7
+         },
+         "mode": "markers",
+         "name": "male",
+         "showlegend": false,
+         "text": [],
+         "type": "scattergl",
+         "x": [],
+         "xaxis": "x14",
+         "y": [],
+         "yaxis": "y14"
+        },
+        {
+         "hoverinfo": "text",
+         "marker": {
+          "color": "#EF553B",
+          "opacity": 0.3,
+          "size": 7
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+         "mode": "markers",
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-          "index=Goodwin, Master. Sidney Leonard<br>PassengerClass=1<br>Sex=male<br>SHAP=-4.95",
-          "index=Sadlier, Mr. Matthew<br>PassengerClass=3<br>Sex=male<br>SHAP=1.24",
-          "index=Gustafsson, Mr. Johan Birger<br>PassengerClass=1<br>Sex=male<br>SHAP=-4.54",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>PassengerClass=3<br>Sex=male<br>SHAP=1.35",
-          "index=Niskanen, Mr. Juha<br>PassengerClass=3<br>Sex=male<br>SHAP=1.24",
-          "index=Minahan, Miss. Daisy E<br>PassengerClass=3<br>Sex=male<br>SHAP=0.86",
-          "index=Matthews, Mr. William John<br>PassengerClass=3<br>Sex=male<br>SHAP=1.34",
-          "index=Charters, Mr. David<br>PassengerClass=3<br>Sex=male<br>SHAP=1.76",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>PassengerClass=1<br>Sex=male<br>SHAP=2.38",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>PassengerClass=3<br>Sex=male<br>SHAP=1.35",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>PassengerClass=2<br>Sex=male<br>SHAP=1.3",
-          "index=Peuchen, Major. Arthur Godfrey<br>PassengerClass=1<br>Sex=male<br>SHAP=-4.05",
-          "index=Anderson, Mr. Harry<br>PassengerClass=3<br>Sex=male<br>SHAP=1.84",
-          "index=Milling, Mr. Jacob Christian<br>PassengerClass=1<br>Sex=male<br>SHAP=-1.64",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>PassengerClass=1<br>Sex=male<br>SHAP=-2.67",
-          "index=Karlsson, Mr. Nils August<br>PassengerClass=3<br>Sex=male<br>SHAP=0.53",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>PassengerClass=3<br>Sex=male<br>SHAP=0.56",
-          "index=Bishop, Mr. Dickinson H<br>PassengerClass=3<br>Sex=male<br>SHAP=1.3",
-          "index=Windelov, Mr. Einar<br>PassengerClass=3<br>Sex=male<br>SHAP=1.26",
-          "index=Shellard, Mr. Frederick William<br>PassengerClass=3<br>Sex=male<br>SHAP=0.93",
-          "index=Svensson, Mr. Olof<br>PassengerClass=1<br>Sex=male<br>SHAP=-4.27",
-          "index=O'Sullivan, Miss. Bridget Mary<br>PassengerClass=1<br>Sex=male<br>SHAP=-3.42",
-          "index=Laitinen, Miss. Kristina Sofia<br>PassengerClass=1<br>Sex=male<br>SHAP=-2.57",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>PassengerClass=3<br>Sex=male<br>SHAP=1.35",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>PassengerClass=2<br>Sex=male<br>SHAP=1.75",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>PassengerClass=3<br>Sex=male<br>SHAP=1.24",
-          "index=Kassem, Mr. Fared<br>PassengerClass=3<br>Sex=male<br>SHAP=1.78",
-          "index=Cacic, Miss. Marija<br>PassengerClass=2<br>Sex=male<br>SHAP=1.81",
-          "index=Hart, Miss. Eva Miriam<br>PassengerClass=2<br>Sex=male<br>SHAP=1.3",
-          "index=Butt, Major. Archibald Willingham<br>PassengerClass=2<br>Sex=male<br>SHAP=1.3",
-          "index=Beane, Mr. Edward<br>PassengerClass=3<br>Sex=male<br>SHAP=1.35",
-          "index=Goldsmith, Mr. Frank John<br>PassengerClass=3<br>Sex=male<br>SHAP=1.35",
-          "index=Ohman, Miss. Velin<br>PassengerClass=3<br>Sex=male<br>SHAP=0.9",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>PassengerClass=3<br>Sex=male<br>SHAP=1.24",
-          "index=Morrow, Mr. Thomas Rowan<br>PassengerClass=3<br>Sex=male<br>SHAP=1.35",
-          "index=Harris, Mr. George<br>PassengerClass=3<br>Sex=male<br>SHAP=1.33",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>PassengerClass=3<br>Sex=male<br>SHAP=0.85",
-          "index=Patchett, Mr. George<br>PassengerClass=3<br>Sex=male<br>SHAP=1.32",
-          "index=Ross, Mr. John Hugo<br>PassengerClass=3<br>Sex=male<br>SHAP=0.7",
-          "index=Murdlin, Mr. Joseph<br>PassengerClass=3<br>Sex=male<br>SHAP=1.3",
-          "index=Bourke, Miss. Mary<br>PassengerClass=1<br>Sex=male<br>SHAP=-0.16",
-          "index=Boulos, Mr. Hanna<br>PassengerClass=1<br>Sex=male<br>SHAP=-0.02",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>PassengerClass=3<br>Sex=male<br>SHAP=0.61",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>PassengerClass=3<br>Sex=male<br>SHAP=1.35",
-          "index=Lindell, Mr. Edvard Bengtsson<br>PassengerClass=2<br>Sex=male<br>SHAP=1.83",
-          "index=Daniel, Mr. Robert Williams<br>PassengerClass=3<br>Sex=male<br>SHAP=1.35",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>PassengerClass=3<br>Sex=male<br>SHAP=1.14",
-          "index=Shutes, Miss. Elizabeth W<br>PassengerClass=2<br>Sex=male<br>SHAP=0.76",
-          "index=Jardin, Mr. Jose Neto<br>PassengerClass=2<br>Sex=male<br>SHAP=1.32",
-          "index=Horgan, Mr. John<br>PassengerClass=3<br>Sex=male<br>SHAP=1.68",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>PassengerClass=3<br>Sex=male<br>SHAP=0.52",
-          "index=Yasbeck, Mr. Antoni<br>PassengerClass=3<br>Sex=male<br>SHAP=1.19",
-          "index=Bostandyeff, Mr. Guentcho<br>PassengerClass=3<br>Sex=male<br>SHAP=0.78",
-          "index=Lundahl, Mr. Johan Svensson<br>PassengerClass=1<br>Sex=male<br>SHAP=-2.81",
-          "index=Stahelin-Maeglin, Dr. Max<br>PassengerClass=3<br>Sex=male<br>SHAP=1.3",
-          "index=Willey, Mr. Edward<br>PassengerClass=2<br>Sex=male<br>SHAP=1.34"
+          "None: Palsson, Master. Gosta Leonard<br>shap: -0.552<br>Sex: male",
+          "None: Saundercock, Mr. William Henry<br>shap: -0.077<br>Sex: male",
+          "None: Meyer, Mr. Edgar Joseph<br>shap: -1.644<br>Sex: male",
+          "None: Kraeff, Mr. Theodor<br>shap: -0.058<br>Sex: male",
+          "None: Skoog, Master. Harald<br>shap: -0.512<br>Sex: male",
+          "None: Kink, Mr. Vincenz<br>shap: -0.291<br>Sex: male",
+          "None: Hood, Mr. Ambrose Jr<br>shap: -0.080<br>Sex: male",
+          "None: Ford, Mr. William Neal<br>shap: -0.452<br>Sex: male",
+          "None: Christmann, Mr. Emil<br>shap: -0.060<br>Sex: male",
+          "None: Andreasson, Mr. Paul Edvin<br>shap: -0.077<br>Sex: male",
+          "None: Petroff, Mr. Pastcho (\"Pentcho\")<br>shap: -0.115<br>Sex: male",
+          "None: Rekic, Mr. Tido<br>shap: 0.048<br>Sex: male",
+          "None: Barton, Mr. David John<br>shap: -0.079<br>Sex: male",
+          "None: Pekoniemi, Mr. Edvard<br>shap: -0.078<br>Sex: male",
+          "None: Turpin, Mr. William John Robert<br>shap: -0.089<br>Sex: male",
+          "None: Moore, Mr. Leonard Charles<br>shap: -0.115<br>Sex: male",
+          "None: Osen, Mr. Olaf Elon<br>shap: -0.073<br>Sex: male",
+          "None: Bateman, Rev. Robert James<br>shap: 0.112<br>Sex: male",
+          "None: Meo, Mr. Alfonzo<br>shap: 0.134<br>Sex: male",
+          "None: Cribb, Mr. John Hatfield<br>shap: -0.349<br>Sex: male",
+          "None: Sivola, Mr. Antti Wilhelm<br>shap: -0.078<br>Sex: male",
+          "None: Klasen, Mr. Klas Albin<br>shap: -0.532<br>Sex: male",
+          "None: Vande Walle, Mr. Nestor Cyriel<br>shap: -0.060<br>Sex: male",
+          "None: Backstrom, Mr. Karl Alfred<br>shap: -0.127<br>Sex: male",
+          "None: Ali, Mr. Ahmed<br>shap: -0.084<br>Sex: male",
+          "None: Green, Mr. George Henry<br>shap: 0.113<br>Sex: male",
+          "None: Nenkoff, Mr. Christo<br>shap: -0.115<br>Sex: male",
+          "None: Hunt, Mr. George Henry<br>shap: 0.039<br>Sex: male",
+          "None: Reed, Mr. James George<br>shap: -0.115<br>Sex: male",
+          "None: Smith, Mr. Thomas<br>shap: -0.090<br>Sex: male",
+          "None: Asplund, Master. Edvin Rojj Felix<br>shap: -0.486<br>Sex: male",
+          "None: Lewy, Mr. Ervin G<br>shap: -2.035<br>Sex: male",
+          "None: Williams, Mr. Howard Hugh \"Harry\"<br>shap: -0.115<br>Sex: male",
+          "None: Sage, Mr. George John Jr<br>shap: -0.517<br>Sex: male",
+          "None: Nysveen, Mr. Johan Hansen<br>shap: 0.133<br>Sex: male",
+          "None: Denkoff, Mr. Mitto<br>shap: -0.115<br>Sex: male",
+          "None: Dimic, Mr. Jovan<br>shap: 0.108<br>Sex: male",
+          "None: del Carlo, Mr. Sebastiano<br>shap: -0.046<br>Sex: male",
+          "None: Beavan, Mr. William Thomas<br>shap: -0.077<br>Sex: male",
+          "None: Gustafsson, Mr. Karl Gideon<br>shap: -0.077<br>Sex: male",
+          "None: Plotcharsky, Mr. Vasil<br>shap: -0.115<br>Sex: male",
+          "None: Goodwin, Master. Sidney Leonard<br>shap: -0.510<br>Sex: male",
+          "None: Sadlier, Mr. Matthew<br>shap: -0.090<br>Sex: male",
+          "None: Gustafsson, Mr. Johan Birger<br>shap: -0.281<br>Sex: male",
+          "None: Niskanen, Mr. Juha<br>shap: 0.097<br>Sex: male",
+          "None: Matthews, Mr. William John<br>shap: -0.103<br>Sex: male",
+          "None: Charters, Mr. David<br>shap: -0.056<br>Sex: male",
+          "None: Johannesen-Bratthammer, Mr. Bernt<br>shap: -0.056<br>Sex: male",
+          "None: Milling, Mr. Jacob Christian<br>shap: 0.113<br>Sex: male",
+          "None: Karlsson, Mr. Nils August<br>shap: -0.079<br>Sex: male",
+          "None: Frost, Mr. Anthony Wood \"Archie\"<br>shap: -0.116<br>Sex: male",
+          "None: Windelov, Mr. Einar<br>shap: -0.078<br>Sex: male",
+          "None: Shellard, Mr. Frederick William<br>shap: -0.115<br>Sex: male",
+          "None: Svensson, Mr. Olof<br>shap: -0.084<br>Sex: male",
+          "None: Bradley, Mr. George (\"George Arthur Brayton\")<br>shap: -1.412<br>Sex: male",
+          "None: Kassem, Mr. Fared<br>shap: -0.058<br>Sex: male",
+          "None: Beane, Mr. Edward<br>shap: -0.068<br>Sex: male",
+          "None: Goldsmith, Mr. Frank John<br>shap: -0.452<br>Sex: male",
+          "None: Morrow, Mr. Thomas Rowan<br>shap: -0.090<br>Sex: male",
+          "None: Harris, Mr. George<br>shap: 0.160<br>Sex: male",
+          "None: Patchett, Mr. George<br>shap: -0.077<br>Sex: male",
+          "None: Murdlin, Mr. Joseph<br>shap: -0.115<br>Sex: male",
+          "None: Boulos, Mr. Hanna<br>shap: -0.058<br>Sex: male",
+          "None: Homer, Mr. Harry (\"Mr E Haven\")<br>shap: 0.435<br>Sex: male",
+          "None: Lindell, Mr. Edvard Bengtsson<br>shap: 0.017<br>Sex: male",
+          "None: Daniel, Mr. Robert Williams<br>shap: -1.049<br>Sex: male",
+          "None: Jardin, Mr. Jose Neto<br>shap: -0.115<br>Sex: male",
+          "None: Horgan, Mr. John<br>shap: -0.090<br>Sex: male",
+          "None: Yasbeck, Mr. Antoni<br>shap: -0.068<br>Sex: male",
+          "None: Bostandyeff, Mr. Guentcho<br>shap: -0.083<br>Sex: male",
+          "None: Lundahl, Mr. Johan Svensson<br>shap: 0.113<br>Sex: male",
+          "None: Willey, Mr. Edward<br>shap: -0.115<br>Sex: male",
+          "None: Eitemiller, Mr. George Floyd<br>shap: -0.081<br>Sex: male",
+          "None: Coleff, Mr. Peju<br>shap: 0.045<br>Sex: male",
+          "None: Goodwin, Mr. Charles Edward<br>shap: -0.510<br>Sex: male",
+          "None: Panula, Mr. Jaako Arnold<br>shap: -0.552<br>Sex: male",
+          "None: Fischer, Mr. Eberhard Thelander<br>shap: -0.078<br>Sex: male",
+          "None: Hansen, Mr. Henrik Juul<br>shap: -0.111<br>Sex: male",
+          "None: Larsson, Mr. August Viktor<br>shap: -0.060<br>Sex: male",
+          "None: Greenberg, Mr. Samuel<br>shap: 0.115<br>Sex: male",
+          "None: McEvoy, Mr. Michael<br>shap: -0.090<br>Sex: male",
+          "None: Johnson, Mr. Malkolm Joackim<br>shap: 0.041<br>Sex: male",
+          "None: Gillespie, Mr. William Henry<br>shap: 0.033<br>Sex: male",
+          "None: Berriman, Mr. William John<br>shap: -0.081<br>Sex: male",
+          "None: Troupiansky, Mr. Moses Aaron<br>shap: -0.081<br>Sex: male",
+          "None: Williams, Mr. Leslie<br>shap: -0.060<br>Sex: male",
+          "None: Ivanoff, Mr. Kanio<br>shap: -0.115<br>Sex: male",
+          "None: McNamee, Mr. Neal<br>shap: -0.112<br>Sex: male",
+          "None: Connaghton, Mr. Michael<br>shap: -0.086<br>Sex: male",
+          "None: Carlsson, Mr. August Sigfrid<br>shap: -0.060<br>Sex: male",
+          "None: Eklund, Mr. Hans Linus<br>shap: -0.073<br>Sex: male",
+          "None: Moran, Mr. Daniel J<br>shap: -0.118<br>Sex: male",
+          "None: Lievens, Mr. Rene Aime<br>shap: -0.084<br>Sex: male",
+          "None: Johnston, Mr. Andrew G<br>shap: -0.473<br>Sex: male",
+          "None: Ali, Mr. William<br>shap: -0.086<br>Sex: male",
+          "None: Thomas, Master. Assad Alexander<br>shap: -0.354<br>Sex: male",
+          "None: Johansson, Mr. Karl Johan<br>shap: -0.100<br>Sex: male",
+          "None: Slemen, Mr. Richard James<br>shap: 0.031<br>Sex: male",
+          "None: Tomlin, Mr. Ernest Portage<br>shap: -0.101<br>Sex: male",
+          "None: McCormack, Mr. Thomas Joseph<br>shap: -0.057<br>Sex: male",
+          "None: Richards, Master. George Sibley<br>shap: -0.450<br>Sex: male",
+          "None: Mudd, Mr. Thomas Charles<br>shap: -0.075<br>Sex: male",
+          "None: Lemberopolous, Mr. Peter L<br>shap: 0.181<br>Sex: male",
+          "None: Sage, Mr. Douglas Bullen<br>shap: -0.517<br>Sex: male",
+          "None: Razi, Mr. Raihed<br>shap: -0.058<br>Sex: male",
+          "None: Johnson, Master. Harold Theodor<br>shap: -0.438<br>Sex: male",
+          "None: Gustafsson, Mr. Alfred Ossian<br>shap: -0.077<br>Sex: male",
+          "None: Montvila, Rev. Juozas<br>shap: -0.084<br>Sex: male"
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@@ -103755,24 +65270,375 @@
          }
         },
         "title": {
-         "text": "Interaction plot for PassengerClass and Sex"
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Sidney Leonard<br>PassengerClass=1<br>Sex=male<br>SHAP=-4.95\", \"index=Sadlier, Mr. Matthew<br>PassengerClass=3<br>Sex=male<br>SHAP=1.24\", \"index=Gustafsson, Mr. Johan Birger<br>PassengerClass=1<br>Sex=male<br>SHAP=-4.54\", \"index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>PassengerClass=3<br>Sex=male<br>SHAP=1.35\", \"index=Niskanen, Mr. Juha<br>PassengerClass=3<br>Sex=male<br>SHAP=1.24\", \"index=Minahan, Miss. Daisy E<br>PassengerClass=3<br>Sex=male<br>SHAP=0.86\", \"index=Matthews, Mr. William John<br>PassengerClass=3<br>Sex=male<br>SHAP=1.34\", \"index=Charters, Mr. David<br>PassengerClass=3<br>Sex=male<br>SHAP=1.76\", \"index=Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>PassengerClass=1<br>Sex=male<br>SHAP=2.38\", \"index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>PassengerClass=3<br>Sex=male<br>SHAP=1.35\", \"index=Johannesen-Bratthammer, Mr. Bernt<br>PassengerClass=2<br>Sex=male<br>SHAP=1.3\", \"index=Peuchen, Major. Arthur Godfrey<br>PassengerClass=1<br>Sex=male<br>SHAP=-4.05\", \"index=Anderson, Mr. Harry<br>PassengerClass=3<br>Sex=male<br>SHAP=1.84\", \"index=Milling, Mr. Jacob Christian<br>PassengerClass=1<br>Sex=male<br>SHAP=-1.64\", \"index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>PassengerClass=1<br>Sex=male<br>SHAP=-2.67\", \"index=Karlsson, Mr. Nils August<br>PassengerClass=3<br>Sex=male<br>SHAP=0.53\", \"index=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>PassengerClass=3<br>Sex=male<br>SHAP=0.56\", \"index=Bishop, Mr. Dickinson H<br>PassengerClass=3<br>Sex=male<br>SHAP=1.3\", \"index=Windelov, Mr. Einar<br>PassengerClass=3<br>Sex=male<br>SHAP=1.26\", \"index=Shellard, Mr. Frederick William<br>PassengerClass=3<br>Sex=male<br>SHAP=0.93\", \"index=Svensson, Mr. Olof<br>PassengerClass=1<br>Sex=male<br>SHAP=-4.27\", \"index=O'Sullivan, Miss. Bridget Mary<br>PassengerClass=1<br>Sex=male<br>SHAP=-3.42\", \"index=Laitinen, Miss. Kristina Sofia<br>PassengerClass=1<br>Sex=male<br>SHAP=-2.57\", \"index=Penasco y Castellana, Mr. Victor de Satode<br>PassengerClass=3<br>Sex=male<br>SHAP=1.35\", \"index=Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>PassengerClass=2<br>Sex=male<br>SHAP=1.75\", \"index=Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>PassengerClass=3<br>Sex=male<br>SHAP=1.24\", \"index=Kassem, Mr. Fared<br>PassengerClass=3<br>Sex=male<br>SHAP=1.78\", \"index=Cacic, Miss. Marija<br>PassengerClass=2<br>Sex=male<br>SHAP=1.81\", \"index=Hart, Miss. Eva Miriam<br>PassengerClass=2<br>Sex=male<br>SHAP=1.3\", \"index=Butt, Major. Archibald Willingham<br>PassengerClass=2<br>Sex=male<br>SHAP=1.3\", \"index=Beane, Mr. Edward<br>PassengerClass=3<br>Sex=male<br>SHAP=1.35\", \"index=Goldsmith, Mr. Frank John<br>PassengerClass=3<br>Sex=male<br>SHAP=1.35\", \"index=Ohman, Miss. Velin<br>PassengerClass=3<br>Sex=male<br>SHAP=0.9\", \"index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>PassengerClass=3<br>Sex=male<br>SHAP=1.24\", \"index=Morrow, Mr. Thomas Rowan<br>PassengerClass=3<br>Sex=male<br>SHAP=1.35\", \"index=Harris, Mr. George<br>PassengerClass=3<br>Sex=male<br>SHAP=1.33\", \"index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>PassengerClass=3<br>Sex=male<br>SHAP=0.85\", \"index=Patchett, Mr. George<br>PassengerClass=3<br>Sex=male<br>SHAP=1.32\", \"index=Ross, Mr. John Hugo<br>PassengerClass=3<br>Sex=male<br>SHAP=0.7\", \"index=Murdlin, Mr. Joseph<br>PassengerClass=3<br>Sex=male<br>SHAP=1.3\", \"index=Bourke, Miss. Mary<br>PassengerClass=1<br>Sex=male<br>SHAP=-0.16\", \"index=Boulos, Mr. Hanna<br>PassengerClass=1<br>Sex=male<br>SHAP=-0.02\", \"index=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>PassengerClass=3<br>Sex=male<br>SHAP=0.61\", \"index=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>PassengerClass=3<br>Sex=male<br>SHAP=1.35\", \"index=Lindell, Mr. Edvard Bengtsson<br>PassengerClass=2<br>Sex=male<br>SHAP=1.83\", \"index=Daniel, Mr. Robert Williams<br>PassengerClass=3<br>Sex=male<br>SHAP=1.35\", \"index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>PassengerClass=3<br>Sex=male<br>SHAP=1.14\", \"index=Shutes, Miss. Elizabeth W<br>PassengerClass=2<br>Sex=male<br>SHAP=0.76\", \"index=Jardin, Mr. Jose Neto<br>PassengerClass=2<br>Sex=male<br>SHAP=1.32\", \"index=Horgan, Mr. John<br>PassengerClass=3<br>Sex=male<br>SHAP=1.68\", \"index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>PassengerClass=3<br>Sex=male<br>SHAP=0.52\", \"index=Yasbeck, Mr. Antoni<br>PassengerClass=3<br>Sex=male<br>SHAP=1.19\", \"index=Bostandyeff, Mr. Guentcho<br>PassengerClass=3<br>Sex=male<br>SHAP=0.78\", \"index=Lundahl, Mr. Johan Svensson<br>PassengerClass=1<br>Sex=male<br>SHAP=-2.81\", \"index=Stahelin-Maeglin, Dr. Max<br>PassengerClass=3<br>Sex=male<br>SHAP=1.3\", \"index=Willey, Mr. Edward<br>PassengerClass=2<br>Sex=male<br>SHAP=1.34\"], \"type\": \"scatter\", \"x\": [3, 3, 1, 3, 1, 3, 3, 2, 3, 3, 3, 1, 3, 1, 3, 3, 3, 2, 3, 3, 2, 2, 3, 3, 1, 3, 3, 1, 3, 3, 1, 3, 3, 3, 2, 3, 1, 3, 3, 1, 2, 1, 3, 3, 3, 3, 3, 2, 3, 1, 3, 3, 3, 3, 3, 3, 2, 3, 3, 1, 1, 2, 3, 2, 1, 3, 3, 3, 1, 1, 3, 1, 2, 3, 3, 2, 3, 1, 3, 3, 1, 1, 3, 1, 3, 3, 3, 3, 3, 1, 3, 2, 1, 3, 1, 1, 3, 3, 3, 3, 3, 1, 1, 1, 3, 2, 3, 3, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 1, 1, 3, 3, 2, 3, 3, 2, 2, 3, 3, 3, 3, 1, 3, 2], \"y\": [0.6133851938116365, 1.3035819477659734, -2.8868592532967443, 1.187390308640401, -2.5219043119977504, 0.5409155932850098, 0.9930920879412355, 1.2905813117230167, 0.5624674280404571, 1.3483934802827968, 1.3035819477659734, -2.578386816252544, 1.3453891561450768, -1.1778164964025992, 1.9043590873062621, 1.3035819477659734, 1.3035819477659734, 0.9577277806228649, 1.3453891561450768, 1.3301733904813091, 0.5230852347165593, 1.7485818242263584, 1.7601544085092087, 1.21249662587427, -2.8308685084708785, 1.3035819477659734, 0.717420726521713, -3.791344649437665, 1.3483934802827968, 0.9296482860483284, -3.048858805504336, 1.3157755517921612, 1.7615824602693153, 1.3453891561450768, 1.7683232710631258, 1.3453891561450768, -3.7273414669269167, 1.2350714510350997, 0.5442260711197993, -3.791344649437665, 1.0404595694462737, -3.913772942999955, 1.3453891561450768, 0.5247143637095184, 1.7602249792448195, 1.3453891561450768, 1.8678065505263923, 0.892026077332633, 1.3035819477659734, -1.470606277548745, 1.3035819477659734, 1.3453891561450768, 0.5258702242546187, 1.2350714510350997, 0.9953604721362974, 1.9331941554348637, 1.331736423111041, 1.1932642426559963, 1.4021868269294002, -3.822230154957706, -4.143015586064101, 1.8182147029844913, 1.3035819477659734, 1.33238852010212, 2.755520569883874, 1.3035819477659734, 1.3453891561450768, 1.3157755517921612, -2.070633869267416, -4.528746594713441, 1.187390308640401, -3.0793937612715174, 0.9258628212137886, 1.043751725547009, 1.2350714510350997, 1.7297744590070994, 1.3035819477659734, -3.5092318726858425, 1.3453891561450768, 1.187390308640401, -1.6497980718230805, -4.954797369764179, 1.244008880141652, -4.540743614309219, 1.3453891561450768, 1.2350714510350997, 0.8649153909006773, 1.339357393241618, 1.7615824602693153, 2.3838875956172414, 1.3453891561450768, 1.3027749157492048, -4.051738500967762, 1.8433238160775265, -1.637209219041912, -2.6740632687253285, 0.5258702242546187, 0.5567053271748718, 1.3035819477659734, 1.2645267786331633, 0.9283487099958471, -4.270137918539605, -3.421590643723442, -2.565396322739573, 1.3483934802827968, 1.7485818242263584, 1.2350714510350997, 1.7813239071060831, 1.8111600858441688, 1.3027749157492048, 1.3027749157492048, 1.3483934802827968, 1.3453891561450768, 0.9025402271604386, 1.2351388724812762, 1.3483934802827968, 1.3301733904813091, 0.8495766994032081, 1.3157755517921612, 0.7035632529139919, 1.301967385372449, -0.16271377947113336, -0.015233477695288156, 0.612964446896538, 1.3454565775912535, 1.8303231800345692, 1.3454565775912535, 1.1364262390408415, 0.7582098070627379, 1.3171727544383522, 1.6798147844096618, 0.5247143637095184, 1.187390308640401, 0.7805743110478764, -2.814646070902647, 1.3035819477659734, 1.3353928442398397]}],                        {\"hovermode\": \"closest\", \"paper_bgcolor\": \"#fff\", \"plot_bgcolor\": \"#fff\", \"showlegend\": true, \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Interaction plot for PassengerClass and Sex\"}, \"xaxis\": {\"title\": {\"text\": \"PassengerClass\"}}, \"yaxis\": {\"title\": {\"text\": \"SHAP value ($)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "<div>                            <div id=\"47a50a1d-f3e4-4713-9601-19f94e910316\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"47a50a1d-f3e4-4713-9601-19f94e910316\")) {                    Plotly.newPlot(                        \"47a50a1d-f3e4-4713-9601-19f94e910316\",                        [{\"box\": {\"visible\": true}, \"meanline\": {\"visible\": true}, \"name\": \"A\", \"showlegend\": false, \"type\": \"violin\", \"x\": [\"A\", \"A\", \"A\", \"A\", \"A\"], \"xaxis\": \"x\", \"y\": [-4.5321713212789465, -11.30244124915202, -4.5321713212789465, -8.683470615790911, -8.939193139862388], \"yaxis\": \"y\"}, {\"hoverinfo\": \"text\", \"marker\": {\"color\": \"#636EFA\", \"opacity\": 0.3, \"size\": 7}, \"mode\": \"markers\", \"name\": \"male\", \"showlegend\": true, \"text\": [\"None: Rood, Mr. Hugh Roscoe<br>shap: -4.532<br>Sex: male\", \"None: Blank, Mr. Henry<br>shap: -11.302<br>Sex: male\", \"None: Smith, Mr. Richard William<br>shap: -4.532<br>Sex: male\", \"None: Ross, Mr. John Hugo<br>shap: -8.683<br>Sex: male\", \"None: Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>shap: -8.939<br>Sex: male\"], \"type\": \"scattergl\", \"x\": [-0.7729554308989285, -0.13196579663404925, -1.160442700482072, -0.8747621812468348, 0.8081509965509666], \"xaxis\": \"x2\", \"y\": [-4.5321713212789465, -11.30244124915202, -4.5321713212789465, -8.683470615790911, -8.939193139862388], \"yaxis\": \"y2\"}, {\"hoverinfo\": \"text\", \"marker\": {\"color\": \"#EF553B\", \"opacity\": 0.3, \"size\": 7}, \"mode\": \"markers\", \"name\": \"female\", \"showlegend\": true, \"text\": [], \"type\": \"scattergl\", \"x\": [], \"xaxis\": \"x2\", \"y\": [], \"yaxis\": \"y2\"}, {\"box\": {\"visible\": true}, \"meanline\": {\"visible\": true}, \"name\": \"B\", \"showlegend\": false, \"type\": \"violin\", \"x\": [\"B\", \"B\", \"B\", \"B\", \"B\", \"B\", \"B\", \"B\", \"B\", \"B\", \"B\", \"B\", \"B\", \"B\"], \"xaxis\": \"x3\", \"y\": [3.5446288159573247, 11.587875029064568, 9.104177305564356, 23.800537131130643, 4.3552055498052855, 31.243956941528587, 3.347955949568892, 3.138008876086155, 3.1627785036756046, 4.527813599691167, 2.952061491925593, 20.1872893128926, 11.477073463470678, 4.320744351443549], \"yaxis\": \"y3\"}, {\"hoverinfo\": \"text\", \"marker\": {\"color\": \"#636EFA\", \"opacity\": 0.3, \"size\": 7}, \"mode\": \"markers\", \"name\": \"male\", \"showlegend\": false, \"text\": [\"None: Van der hoef, Mr. Wyckoff<br>shap: 3.545<br>Sex: male\", \"None: Bishop, Mr. Dickinson H<br>shap: 23.801<br>Sex: male\", \"None: Butt, Major. Archibald Willingham<br>shap: 4.355<br>Sex: male\", \"None: Stahelin-Maeglin, Dr. Max<br>shap: 31.244<br>Sex: male\", \"None: Davidson, Mr. Thornton<br>shap: 3.348<br>Sex: male\", \"None: Guggenheim, Mr. Benjamin<br>shap: 20.187<br>Sex: male\", \"None: Carter, Master. William Thornton II<br>shap: 11.477<br>Sex: male\", \"None: Carlsson, Mr. Frans Olof<br>shap: 4.321<br>Sex: male\"], \"type\": \"scattergl\", \"x\": [-1.4341809742292781, -0.6192863401115573, -0.39348425906141554, 0.5075412690426111, 0.7050677472426142, -0.5872820580584268, 0.7447214214478336, 1.4133133535396836], \"xaxis\": \"x4\", \"y\": [3.5446288159573247, 23.800537131130643, 4.3552055498052855, 31.243956941528587, 3.347955949568892, 20.1872893128926, 11.477073463470678, 4.320744351443549], \"yaxis\": \"y4\"}, {\"hoverinfo\": \"text\", \"marker\": {\"color\": \"#EF553B\", \"opacity\": 0.3, \"size\": 7}, \"mode\": \"markers\", \"name\": \"female\", \"showlegend\": true, \"text\": [\"None: Brown, Mrs. James Joseph (Margaret Tobin)<br>shap: 11.588<br>Sex: female\", \"None: Bishop, Mrs. Dickinson H (Helen Walton)<br>shap: 9.104<br>Sex: female\", \"None: Allen, Miss. Elisabeth Walton<br>shap: 3.138<br>Sex: female\", \"None: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>shap: 3.163<br>Sex: female\", \"None: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>shap: 4.528<br>Sex: female\", \"None: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>shap: 2.952<br>Sex: female\"], \"type\": \"scattergl\", \"x\": [-0.9582974362800202, 1.0271817538516306, 0.10723684210019739, -0.802388924561621, -1.145189836213396, 0.5991971361016923], \"xaxis\": \"x4\", \"y\": [11.587875029064568, 9.104177305564356, 3.138008876086155, 3.1627785036756046, 4.527813599691167, 2.952061491925593], \"yaxis\": \"y4\"}, {\"box\": {\"visible\": true}, \"meanline\": {\"visible\": true}, \"name\": \"C\", \"showlegend\": false, \"type\": \"violin\", \"x\": [\"C\", \"C\", \"C\", \"C\", \"C\", \"C\", \"C\", \"C\", \"C\", \"C\", \"C\", \"C\", \"C\"], \"xaxis\": \"x5\", \"y\": [-4.130448468990693, 1.3057560593418147, 2.3305186897872034, 2.1697764280351906, -2.075727694652406, -1.7182838420265023, -0.6163271932464759, -1.3709318344130872, -1.713587862976392, -0.28136530557930106, -1.7687291532926213, 4.320667011915987, -0.002829409542738137], \"yaxis\": \"y5\"}, {\"hoverinfo\": \"text\", \"marker\": {\"color\": \"#636EFA\", \"opacity\": 0.3, \"size\": 7}, \"mode\": \"markers\", \"name\": \"male\", \"showlegend\": false, \"text\": [\"None: Harris, Mr. Henry Birkhardt<br>shap: 2.331<br>Sex: male\", \"None: Stead, Mr. William Thomas<br>shap: 2.170<br>Sex: male\", \"None: Widener, Mr. Harry Elkins<br>shap: -2.076<br>Sex: male\", \"None: Peuchen, Major. Arthur Godfrey<br>shap: -0.616<br>Sex: male\", \"None: Penasco y Castellana, Mr. Victor de Satode<br>shap: -1.371<br>Sex: male\", \"None: Klaber, Mr. Herman<br>shap: 4.321<br>Sex: male\", \"None: Taylor, Mr. Elmer Zebley<br>shap: -0.003<br>Sex: male\"], \"type\": \"scattergl\", \"x\": [0.04037504010186339, 0.16367536904369837, -0.057957314938711244, 0.2502561920061699, -0.7438355644819923, -0.6289736853604597, -0.5344991373152489], \"xaxis\": \"x6\", \"y\": [2.3305186897872034, 2.1697764280351906, -2.075727694652406, -0.6163271932464759, -1.3709318344130872, 4.320667011915987, -0.002829409542738137], \"yaxis\": \"y6\"}, {\"hoverinfo\": \"text\", \"marker\": {\"color\": \"#EF553B\", \"opacity\": 0.3, \"size\": 7}, \"mode\": \"markers\", \"name\": \"female\", \"showlegend\": false, \"text\": [\"None: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>shap: -4.130<br>Sex: female\", \"None: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>shap: 1.306<br>Sex: female\", \"None: Minahan, Miss. 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\"showticklabels\": false}, \"yaxis4\": {\"anchor\": \"x4\", \"domain\": [0.0, 1.0], \"matches\": \"y\", \"range\": [-18.775251123205596, 35.79115767468624], \"showgrid\": false, \"showticklabels\": false, \"zeroline\": false}, \"yaxis5\": {\"anchor\": \"x5\", \"domain\": [0.0, 1.0], \"matches\": \"y\", \"range\": [-18.775251123205596, 35.79115767468624], \"showticklabels\": false}, \"yaxis6\": {\"anchor\": \"x6\", \"domain\": [0.0, 1.0], \"matches\": \"y\", \"range\": [-18.775251123205596, 35.79115767468624], \"showgrid\": false, \"showticklabels\": false, \"zeroline\": false}, \"yaxis7\": {\"anchor\": \"x7\", \"domain\": [0.0, 1.0], \"matches\": \"y\", \"range\": [-18.775251123205596, 35.79115767468624], \"showticklabels\": false}, \"yaxis8\": {\"anchor\": \"x8\", \"domain\": [0.0, 1.0], \"matches\": \"y\", \"range\": [-18.775251123205596, 35.79115767468624], \"showgrid\": false, \"showticklabels\": false, \"zeroline\": false}, \"yaxis9\": {\"anchor\": \"x9\", \"domain\": [0.0, 1.0], \"matches\": \"y\", \"range\": [-18.775251123205596, 35.79115767468624], \"showticklabels\": false}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('203f05e7-1e70-453d-bd0f-8471ed9168be');\n",
+       "var gd = document.getElementById('47a50a1d-f3e4-4713-9601-19f94e910316');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -103802,16 +65668,24 @@
     }
    ],
    "source": [
-    "explainer.plot_interaction(\"Sex\", \"PassengerClass\")"
+    "\n",
+    "explainer.plot_dependence(\"Deck\", color_col=\"Sex\", highlight_index=5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Shap interactions plots"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 64,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:47:28.545761Z",
-     "start_time": "2020-10-12T08:47:28.512883Z"
+     "end_time": "2021-01-20T16:03:24.992525Z",
+     "start_time": "2021-01-20T16:03:24.953769Z"
     }
    },
    "outputs": [
@@ -103899,69 +65773,69 @@
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@@ -104050,7 +65924,7 @@
             "rgb(255,0,0)"
            ]
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-          "opacity": 0.6,
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@@ -104058,201 +65932,201 @@
          "name": "PassengerClass",
          "showlegend": false,
          "text": [
-          "index: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>shap: 4.344021729605454<br>PassengerClass: 1",
-          "index: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>shap: 4.731080169420549<br>PassengerClass: 1",
-          "index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>shap: -1.1120052936409843<br>PassengerClass: 3",
-          "index: Nasser, Mrs. Nicholas (Adele Achem)<br>shap: -1.3317346919623816<br>PassengerClass: 2",
-          "index: Vestrom, Miss. Hulda Amanda Adolfina<br>shap: -2.3546389470879614<br>PassengerClass: 3",
-          "index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>shap: -0.9794484140168807<br>PassengerClass: 3",
-          "index: Glynn, Miss. Mary Agatha<br>shap: -2.1793599578374234<br>PassengerClass: 3",
-          "index: Devaney, Miss. Margaret Delia<br>shap: -2.119206874760932<br>PassengerClass: 3",
-          "index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>shap: -1.531386198971755<br>PassengerClass: 3",
-          "index: Rugg, Miss. Emily<br>shap: -2.2878843000694564<br>PassengerClass: 2",
-          "index: Ilett, Miss. Bertha<br>shap: -2.2878843000694564<br>PassengerClass: 2",
-          "index: Moran, Miss. Bertha<br>shap: -1.4929536028573174<br>PassengerClass: 3",
-          "index: Jussila, Miss. Katriina<br>shap: -1.531386198971755<br>PassengerClass: 3",
-          "index: Ford, Miss. Robina Maggie \"Ruby\"<br>shap: -0.9466739586617006<br>PassengerClass: 3",
-          "index: Chibnall, Mrs. (Edith Martha Bowerman)<br>shap: 3.2492685806748636<br>PassengerClass: 1",
-          "index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>shap: -1.5846565932172532<br>PassengerClass: 3",
-          "index: Brown, Mrs. James Joseph (Margaret Tobin)<br>shap: 2.348732378201911<br>PassengerClass: 1",
-          "index: Asplund, Miss. Lillian Gertrud<br>shap: -0.8964376946792492<br>PassengerClass: 3",
-          "index: Harknett, Miss. Alice Phoebe<br>shap: -2.3508970778850786<br>PassengerClass: 3",
-          "index: Thorne, Mrs. Gertrude Maybelle<br>shap: 6.299429954352646<br>PassengerClass: 1",
-          "index: Parrish, Mrs. (Lutie Davis)<br>shap: -1.932014660515395<br>PassengerClass: 2",
-          "index: Healy, Miss. Hanora \"Nora\"<br>shap: -2.1793599578374234<br>PassengerClass: 3",
-          "index: Andrews, Miss. Kornelia Theodosia<br>shap: 4.432978930853473<br>PassengerClass: 1",
-          "index: Abbott, Mrs. Stanton (Rosa Hunt)<br>shap: -1.625941054868822<br>PassengerClass: 3",
-          "index: Connolly, Miss. Kate<br>shap: -2.119206874760932<br>PassengerClass: 3",
-          "index: Bishop, Mrs. Dickinson H (Helen Walton)<br>shap: 0.16753741420366153<br>PassengerClass: 1",
-          "index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>shap: 5.4761536350185445<br>PassengerClass: 1",
-          "index: Burns, Miss. Elizabeth Margaret<br>shap: 6.299354599950787<br>PassengerClass: 1",
-          "index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>shap: 4.503513752915347<br>PassengerClass: 1",
-          "index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>shap: -0.7983895141520809<br>PassengerClass: 3",
-          "index: Minahan, Miss. Daisy E<br>shap: 4.183169221318817<br>PassengerClass: 1",
-          "index: Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>shap: -2.2878843000694564<br>PassengerClass: 2",
-          "index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>shap: -1.7114883312932792<br>PassengerClass: 2",
-          "index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>shap: -1.475228639642972<br>PassengerClass: 2",
-          "index: O'Sullivan, Miss. Bridget Mary<br>shap: -2.131826024709179<br>PassengerClass: 3",
-          "index: Laitinen, Miss. Kristina Sofia<br>shap: -3.11746232420512<br>PassengerClass: 3",
-          "index: Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>shap: -2.0726512145509406<br>PassengerClass: 2",
-          "index: Cacic, Miss. Marija<br>shap: -2.3742599184970925<br>PassengerClass: 3",
-          "index: Hart, Miss. Eva Miriam<br>shap: -1.1210726124510701<br>PassengerClass: 2",
-          "index: Ohman, Miss. Velin<br>shap: -2.3549325225202504<br>PassengerClass: 3",
-          "index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>shap: 3.7379379742633843<br>PassengerClass: 1",
-          "index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>shap: 4.572450828474599<br>PassengerClass: 1",
-          "index: Bourke, Miss. Mary<br>shap: -1.0494556297066469<br>PassengerClass: 3",
-          "index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>shap: -0.9206620227213722<br>PassengerClass: 2",
-          "index: Shutes, Miss. Elizabeth W<br>shap: 7.655763411626476<br>PassengerClass: 1",
-          "index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>shap: -1.59677912105889<br>PassengerClass: 3",
-          "index: Stanley, Miss. Amy Zillah Elsie<br>shap: -2.381453611277209<br>PassengerClass: 3",
-          "index: Hegarty, Miss. Hanora \"Nora\"<br>shap: -2.0716729416326873<br>PassengerClass: 3",
-          "index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>shap: -1.7487113455400962<br>PassengerClass: 2",
-          "index: Turja, Miss. Anna Sofia<br>shap: -2.3549325225202504<br>PassengerClass: 3",
-          "index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>shap: 3.3892146621301933<br>PassengerClass: 1",
-          "index: Troutt, Miss. Edwina Celia \"Winnie\"<br>shap: -2.0882781495050615<br>PassengerClass: 2",
-          "index: Allen, Miss. Elisabeth Walton<br>shap: 4.6782280268728655<br>PassengerClass: 1",
-          "index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>shap: 4.831736277237074<br>PassengerClass: 1",
-          "index: Hogeboom, Mrs. John C (Anna Andrews)<br>shap: 4.4266302300757605<br>PassengerClass: 1",
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-          "index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>shap: -1.1715855371400354<br>PassengerClass: 2",
-          "index: Boulos, Miss. Nourelain<br>shap: -1.0614553022943434<br>PassengerClass: 3",
-          "index: Aks, Mrs. Sam (Leah Rosen)<br>shap: -1.1821210397550987<br>PassengerClass: 3"
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+          "None: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>shap: -0.705<br>PassengerClass: 3",
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+          "None: Ilett, Miss. Bertha<br>shap: -2.484<br>PassengerClass: 2",
+          "None: Moran, Miss. Bertha<br>shap: -1.543<br>PassengerClass: 3",
+          "None: Jussila, Miss. Katriina<br>shap: -1.812<br>PassengerClass: 3",
+          "None: Ford, Miss. Robina Maggie \"Ruby\"<br>shap: -0.640<br>PassengerClass: 3",
+          "None: Chibnall, Mrs. (Edith Martha Bowerman)<br>shap: 2.839<br>PassengerClass: 1",
+          "None: Andersen-Jensen, Miss. Carla Christine Nielsine<br>shap: -1.789<br>PassengerClass: 3",
+          "None: Brown, Mrs. James Joseph (Margaret Tobin)<br>shap: 0.954<br>PassengerClass: 1",
+          "None: Asplund, Miss. Lillian Gertrud<br>shap: -0.717<br>PassengerClass: 3",
+          "None: Harknett, Miss. Alice Phoebe<br>shap: -2.526<br>PassengerClass: 3",
+          "None: Thorne, Mrs. Gertrude Maybelle<br>shap: 7.058<br>PassengerClass: 1",
+          "None: Parrish, Mrs. (Lutie Davis)<br>shap: -1.636<br>PassengerClass: 2",
+          "None: Healy, Miss. Hanora \"Nora\"<br>shap: -2.072<br>PassengerClass: 3",
+          "None: Andrews, Miss. Kornelia Theodosia<br>shap: 3.702<br>PassengerClass: 1",
+          "None: Abbott, Mrs. Stanton (Rosa Hunt)<br>shap: -1.023<br>PassengerClass: 3",
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-          "index: Goodwin, Master. Sidney Leonard<br>shap: 0.5258702242546196<br>PassengerClass: 3",
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-          "index: Matthews, Mr. William John<br>shap: 1.3317364231110411<br>PassengerClass: 2",
-          "index: Charters, Mr. David<br>shap: 1.1932642426559965<br>PassengerClass: 3",
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-          "index: Bishop, Mr. Dickinson H<br>shap: 2.755520569883875<br>PassengerClass: 1",
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-          "index: Penasco y Castellana, Mr. Victor de Satode<br>shap: -2.0706338692674153<br>PassengerClass: 1",
-          "index: Bradley, Mr. George (\"George Arthur Brayton\")<br>shap: -4.528746594713439<br>PassengerClass: 1",
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-          "index: Ross, Mr. John Hugo<br>shap: -3.5092318726858407<br>PassengerClass: 1",
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-          "index: Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>shap: -1.6497980718230785<br>PassengerClass: 1",
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-          "index: Goodwin, Mr. Charles Edward<br>shap: 0.5258702242546196<br>PassengerClass: 3",
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-          "index: Montvila, Rev. Juozas<br>shap: 1.33539284423984<br>PassengerClass: 2"
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+          "None: Vande Walle, Mr. Nestor Cyriel<br>shap: 1.380<br>PassengerClass: 3",
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+          "None: Green, Mr. George Henry<br>shap: 1.608<br>PassengerClass: 3",
+          "None: Nenkoff, Mr. Christo<br>shap: 1.357<br>PassengerClass: 3",
+          "None: Hunt, Mr. George Henry<br>shap: 1.658<br>PassengerClass: 2",
+          "None: Reed, Mr. James George<br>shap: 1.357<br>PassengerClass: 3",
+          "None: Stead, Mr. William Thomas<br>shap: -3.334<br>PassengerClass: 1",
+          "None: Smith, Mr. Thomas<br>shap: 1.226<br>PassengerClass: 3",
+          "None: Asplund, Master. Edvin Rojj Felix<br>shap: 0.330<br>PassengerClass: 3",
+          "None: Smith, Mr. Richard William<br>shap: -3.335<br>PassengerClass: 1",
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+          "None: Sage, Mr. George John Jr<br>shap: 0.331<br>PassengerClass: 3",
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-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Age=38.0<br>PassengerClass=1<br>SHAP=4.05",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Age=35.0<br>PassengerClass=1<br>SHAP=4.36",
-          "index=Palsson, Master. Gosta Leonard<br>Age=2.0<br>PassengerClass=3<br>SHAP=0.02",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Age=27.0<br>PassengerClass=3<br>SHAP=0.56",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>Age=14.0<br>PassengerClass=2<br>SHAP=0.65",
-          "index=Saundercock, Mr. William Henry<br>Age=20.0<br>PassengerClass=3<br>SHAP=-0.09",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>Age=14.0<br>PassengerClass=3<br>SHAP=0.37",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Age=38.0<br>PassengerClass=3<br>SHAP=-0.6",
-          "index=Glynn, Miss. Mary Agatha<br>Age=nan<br>PassengerClass=3<br>SHAP=0.78",
-          "index=Meyer, Mr. Edgar Joseph<br>Age=28.0<br>PassengerClass=1<br>SHAP=-1.36",
-          "index=Kraeff, Mr. Theodor<br>Age=nan<br>PassengerClass=3<br>SHAP=0.33",
-          "index=Devaney, Miss. Margaret Delia<br>Age=19.0<br>PassengerClass=3<br>SHAP=0.7",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Age=18.0<br>PassengerClass=3<br>SHAP=0.25",
-          "index=Rugg, Miss. Emily<br>Age=21.0<br>PassengerClass=2<br>SHAP=0.78",
-          "index=Harris, Mr. Henry Birkhardt<br>Age=45.0<br>PassengerClass=1<br>SHAP=-0.46",
-          "index=Skoog, Master. Harald<br>Age=4.0<br>PassengerClass=3<br>SHAP=0.04",
-          "index=Kink, Mr. Vincenz<br>Age=26.0<br>PassengerClass=3<br>SHAP=0.24",
-          "index=Hood, Mr. Ambrose Jr<br>Age=21.0<br>PassengerClass=2<br>SHAP=-0.01",
-          "index=Ilett, Miss. Bertha<br>Age=17.0<br>PassengerClass=2<br>SHAP=1.13",
-          "index=Ford, Mr. William Neal<br>Age=16.0<br>PassengerClass=3<br>SHAP=0.08",
-          "index=Christmann, Mr. Emil<br>Age=29.0<br>PassengerClass=3<br>SHAP=0.13",
-          "index=Andreasson, Mr. Paul Edvin<br>Age=20.0<br>PassengerClass=3<br>SHAP=-0.09",
-          "index=Chaffee, Mr. Herbert Fuller<br>Age=46.0<br>PassengerClass=1<br>SHAP=-0.25",
-          "index=Petroff, Mr. Pastcho (\"Pentcho\")<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16",
-          "index=White, Mr. Richard Frasar<br>Age=21.0<br>PassengerClass=1<br>SHAP=1.51",
-          "index=Rekic, Mr. Tido<br>Age=38.0<br>PassengerClass=3<br>SHAP=-0.42",
-          "index=Moran, Miss. Bertha<br>Age=nan<br>PassengerClass=3<br>SHAP=0.55",
-          "index=Barton, Mr. David John<br>Age=22.0<br>PassengerClass=3<br>SHAP=-0.09",
-          "index=Jussila, Miss. Katriina<br>Age=20.0<br>PassengerClass=3<br>SHAP=0.35",
-          "index=Pekoniemi, Mr. Edvard<br>Age=21.0<br>PassengerClass=3<br>SHAP=-0.09",
-          "index=Turpin, Mr. William John Robert<br>Age=29.0<br>PassengerClass=2<br>SHAP=0.42",
-          "index=Moore, Mr. Leonard Charles<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16",
-          "index=Osen, Mr. Olaf Elon<br>Age=16.0<br>PassengerClass=3<br>SHAP=-0.21",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>Age=9.0<br>PassengerClass=3<br>SHAP=0.21",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Age=36.5<br>PassengerClass=2<br>SHAP=-1.11",
-          "index=Bateman, Rev. Robert James<br>Age=51.0<br>PassengerClass=2<br>SHAP=0.42",
-          "index=Meo, Mr. Alfonzo<br>Age=55.5<br>PassengerClass=3<br>SHAP=0.19",
-          "index=Cribb, Mr. John Hatfield<br>Age=44.0<br>PassengerClass=3<br>SHAP=-0.03",
-          "index=Chibnall, Mrs. (Edith Martha Bowerman)<br>Age=nan<br>PassengerClass=1<br>SHAP=0.12",
-          "index=Van der hoef, Mr. Wyckoff<br>Age=61.0<br>PassengerClass=1<br>SHAP=-1.62",
-          "index=Sivola, Mr. Antti Wilhelm<br>Age=21.0<br>PassengerClass=3<br>SHAP=-0.09",
-          "index=Klasen, Mr. Klas Albin<br>Age=18.0<br>PassengerClass=3<br>SHAP=-0.15",
-          "index=Rood, Mr. Hugh Roscoe<br>Age=nan<br>PassengerClass=1<br>SHAP=0.95",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>Age=19.0<br>PassengerClass=3<br>SHAP=0.43",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>PassengerClass=1<br>SHAP=2.91",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>PassengerClass=3<br>SHAP=0.15",
-          "index=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>PassengerClass=3<br>SHAP=0.0",
-          "index=Blank, Mr. Henry<br>Age=40.0<br>PassengerClass=1<br>SHAP=2.1",
-          "index=Ali, Mr. Ahmed<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.11",
-          "index=Green, Mr. George Henry<br>Age=51.0<br>PassengerClass=3<br>SHAP=0.14",
-          "index=Nenkoff, Mr. Christo<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16",
-          "index=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>PassengerClass=3<br>SHAP=0.23",
-          "index=Harknett, Miss. Alice Phoebe<br>Age=nan<br>PassengerClass=3<br>SHAP=0.7",
-          "index=Hunt, Mr. George Henry<br>Age=33.0<br>PassengerClass=2<br>SHAP=-0.14",
-          "index=Reed, Mr. James George<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16",
-          "index=Stead, Mr. William Thomas<br>Age=62.0<br>PassengerClass=1<br>SHAP=-2.1",
-          "index=Thorne, Mrs. Gertrude Maybelle<br>Age=nan<br>PassengerClass=1<br>SHAP=-2.91",
-          "index=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>PassengerClass=2<br>SHAP=-0.51",
-          "index=Smith, Mr. Thomas<br>Age=nan<br>PassengerClass=3<br>SHAP=0.1",
-          "index=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>PassengerClass=3<br>SHAP=0.09",
-          "index=Healy, Miss. Hanora \"Nora\"<br>Age=nan<br>PassengerClass=3<br>SHAP=0.78",
-          "index=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>PassengerClass=1<br>SHAP=-1.36",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>PassengerClass=3<br>SHAP=-1.96",
-          "index=Smith, Mr. Richard William<br>Age=nan<br>PassengerClass=1<br>SHAP=0.95",
-          "index=Connolly, Miss. Kate<br>Age=22.0<br>PassengerClass=3<br>SHAP=0.7",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>PassengerClass=1<br>SHAP=-1.55",
-          "index=Levy, Mr. Rene Jacques<br>Age=36.0<br>PassengerClass=2<br>SHAP=-3.47",
-          "index=Lewy, Mr. Ervin G<br>Age=nan<br>PassengerClass=1<br>SHAP=-0.14",
-          "index=Williams, Mr. Howard Hugh \"Harry\"<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16",
-          "index=Sage, Mr. George John Jr<br>Age=nan<br>PassengerClass=3<br>SHAP=0.34",
-          "index=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>PassengerClass=3<br>SHAP=0.19",
-          "index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=nan<br>PassengerClass=1<br>SHAP=-1.35",
-          "index=Denkoff, Mr. Mitto<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16",
-          "index=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>PassengerClass=1<br>SHAP=3.08",
-          "index=Dimic, Mr. Jovan<br>Age=42.0<br>PassengerClass=3<br>SHAP=-0.35",
-          "index=del Carlo, Mr. Sebastiano<br>Age=29.0<br>PassengerClass=2<br>SHAP=0.64",
-          "index=Beavan, Mr. William Thomas<br>Age=19.0<br>PassengerClass=3<br>SHAP=-0.09",
-          "index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=nan<br>PassengerClass=1<br>SHAP=-2.58",
-          "index=Widener, Mr. Harry Elkins<br>Age=27.0<br>PassengerClass=1<br>SHAP=-0.13",
-          "index=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>PassengerClass=3<br>SHAP=-0.09",
-          "index=Plotcharsky, Mr. Vasil<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16",
-          "index=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>PassengerClass=3<br>SHAP=-0.2",
-          "index=Sadlier, Mr. Matthew<br>Age=nan<br>PassengerClass=3<br>SHAP=0.1",
-          "index=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>PassengerClass=3<br>SHAP=0.19",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.08",
-          "index=Niskanen, Mr. Juha<br>Age=39.0<br>PassengerClass=3<br>SHAP=-0.31",
-          "index=Minahan, Miss. Daisy E<br>Age=33.0<br>PassengerClass=1<br>SHAP=0.81",
-          "index=Matthews, Mr. William John<br>Age=30.0<br>PassengerClass=2<br>SHAP=0.25",
-          "index=Charters, Mr. David<br>Age=21.0<br>PassengerClass=3<br>SHAP=-0.07",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Age=19.0<br>PassengerClass=2<br>SHAP=0.78",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>PassengerClass=2<br>SHAP=-0.33",
-          "index=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>PassengerClass=3<br>SHAP=0.29",
-          "index=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>PassengerClass=1<br>SHAP=-1.48",
-          "index=Anderson, Mr. Harry<br>Age=48.0<br>PassengerClass=1<br>SHAP=-0.78",
-          "index=Milling, Mr. Jacob Christian<br>Age=48.0<br>PassengerClass=2<br>SHAP=0.35",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>PassengerClass=2<br>SHAP=-0.74",
-          "index=Karlsson, Mr. Nils August<br>Age=22.0<br>PassengerClass=3<br>SHAP=-0.09",
-          "index=Frost, Mr. Anthony Wood \"Archie\"<br>Age=nan<br>PassengerClass=2<br>SHAP=-1.07",
-          "index=Bishop, Mr. Dickinson H<br>Age=25.0<br>PassengerClass=1<br>SHAP=-1.83",
-          "index=Windelov, Mr. Einar<br>Age=21.0<br>PassengerClass=3<br>SHAP=-0.09",
-          "index=Shellard, Mr. Frederick William<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16",
-          "index=Svensson, Mr. Olof<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.11",
-          "index=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>PassengerClass=3<br>SHAP=0.64",
-          "index=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>PassengerClass=3<br>SHAP=-1.32",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>PassengerClass=1<br>SHAP=-0.49",
-          "index=Bradley, Mr. George (\"George Arthur Brayton\")<br>Age=nan<br>PassengerClass=1<br>SHAP=0.11",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Age=36.0<br>PassengerClass=2<br>SHAP=-1.75",
-          "index=Kassem, Mr. Fared<br>Age=nan<br>PassengerClass=3<br>SHAP=0.33",
-          "index=Cacic, Miss. Marija<br>Age=30.0<br>PassengerClass=3<br>SHAP=0.61",
-          "index=Hart, Miss. Eva Miriam<br>Age=7.0<br>PassengerClass=2<br>SHAP=0.63",
-          "index=Butt, Major. Archibald Willingham<br>Age=45.0<br>PassengerClass=1<br>SHAP=0.54",
-          "index=Beane, Mr. Edward<br>Age=32.0<br>PassengerClass=2<br>SHAP=0.18",
-          "index=Goldsmith, Mr. Frank John<br>Age=33.0<br>PassengerClass=3<br>SHAP=-0.66",
-          "index=Ohman, Miss. Velin<br>Age=22.0<br>PassengerClass=3<br>SHAP=0.65",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>PassengerClass=1<br>SHAP=1.15",
-          "index=Morrow, Mr. Thomas Rowan<br>Age=nan<br>PassengerClass=3<br>SHAP=0.1",
-          "index=Harris, Mr. George<br>Age=62.0<br>PassengerClass=2<br>SHAP=0.18",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>PassengerClass=1<br>SHAP=-1.51",
-          "index=Patchett, Mr. George<br>Age=19.0<br>PassengerClass=3<br>SHAP=-0.09",
-          "index=Ross, Mr. John Hugo<br>Age=36.0<br>PassengerClass=1<br>SHAP=11.56",
-          "index=Murdlin, Mr. Joseph<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16",
-          "index=Bourke, Miss. Mary<br>Age=nan<br>PassengerClass=3<br>SHAP=0.66",
-          "index=Boulos, Mr. Hanna<br>Age=nan<br>PassengerClass=3<br>SHAP=0.33",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Age=49.0<br>PassengerClass=1<br>SHAP=-1.41",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>Age=35.0<br>PassengerClass=1<br>SHAP=13.52",
-          "index=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>PassengerClass=3<br>SHAP=-1.34",
-          "index=Daniel, Mr. Robert Williams<br>Age=27.0<br>PassengerClass=1<br>SHAP=-1.09",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>PassengerClass=2<br>SHAP=0.89",
-          "index=Shutes, Miss. Elizabeth W<br>Age=40.0<br>PassengerClass=1<br>SHAP=1.68",
-          "index=Jardin, Mr. Jose Neto<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16",
-          "index=Horgan, Mr. John<br>Age=nan<br>PassengerClass=3<br>SHAP=0.1",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>PassengerClass=3<br>SHAP=0.49",
-          "index=Yasbeck, Mr. Antoni<br>Age=27.0<br>PassengerClass=3<br>SHAP=0.45",
-          "index=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>PassengerClass=3<br>SHAP=0.19",
-          "index=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>PassengerClass=3<br>SHAP=0.14",
-          "index=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>PassengerClass=1<br>SHAP=0.3",
-          "index=Willey, Mr. Edward<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>PassengerClass=3<br>SHAP=0.64",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>Age=18.0<br>PassengerClass=3<br>SHAP=0.4",
-          "index=Eitemiller, Mr. George Floyd<br>Age=23.0<br>PassengerClass=2<br>SHAP=0.03",
-          "index=Colley, Mr. Edward Pomeroy<br>Age=47.0<br>PassengerClass=1<br>SHAP=-0.81",
-          "index=Coleff, Mr. Peju<br>Age=36.0<br>PassengerClass=3<br>SHAP=-1.33",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Age=40.0<br>PassengerClass=2<br>SHAP=-0.66",
-          "index=Davidson, Mr. Thornton<br>Age=31.0<br>PassengerClass=1<br>SHAP=-0.16",
-          "index=Turja, Miss. Anna Sofia<br>Age=18.0<br>PassengerClass=3<br>SHAP=0.48",
-          "index=Hassab, Mr. Hammad<br>Age=27.0<br>PassengerClass=1<br>SHAP=-2.17",
-          "index=Goodwin, Mr. Charles Edward<br>Age=14.0<br>PassengerClass=3<br>SHAP=-0.17",
-          "index=Panula, Mr. Jaako Arnold<br>Age=14.0<br>PassengerClass=3<br>SHAP=0.06",
-          "index=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>PassengerClass=3<br>SHAP=-0.26",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>PassengerClass=3<br>SHAP=-0.23",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>PassengerClass=1<br>SHAP=-1.67",
-          "index=Hansen, Mr. Henrik Juul<br>Age=26.0<br>PassengerClass=3<br>SHAP=0.17",
-          "index=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>PassengerClass=1<br>SHAP=0.58",
-          "index=Klaber, Mr. Herman<br>Age=nan<br>PassengerClass=1<br>SHAP=1.35",
-          "index=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>PassengerClass=1<br>SHAP=-0.97",
-          "index=Larsson, Mr. August Viktor<br>Age=29.0<br>PassengerClass=3<br>SHAP=0.13",
-          "index=Greenberg, Mr. Samuel<br>Age=52.0<br>PassengerClass=2<br>SHAP=0.42",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>Age=27.0<br>PassengerClass=2<br>SHAP=0.32",
-          "index=McEvoy, Mr. Michael<br>Age=nan<br>PassengerClass=3<br>SHAP=0.1",
-          "index=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>PassengerClass=3<br>SHAP=-0.24",
-          "index=Gillespie, Mr. William Henry<br>Age=34.0<br>PassengerClass=2<br>SHAP=-1.05",
-          "index=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>PassengerClass=1<br>SHAP=-1.43",
-          "index=Berriman, Mr. William John<br>Age=23.0<br>PassengerClass=2<br>SHAP=0.03",
-          "index=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>PassengerClass=2<br>SHAP=0.03",
-          "index=Williams, Mr. Leslie<br>Age=28.5<br>PassengerClass=3<br>SHAP=0.15",
-          "index=Ivanoff, Mr. Kanio<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16",
-          "index=McNamee, Mr. Neal<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.09",
-          "index=Connaghton, Mr. Michael<br>Age=31.0<br>PassengerClass=3<br>SHAP=-0.18",
-          "index=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>PassengerClass=3<br>SHAP=0.15",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>PassengerClass=1<br>SHAP=0.66",
-          "index=Eklund, Mr. Hans Linus<br>Age=16.0<br>PassengerClass=3<br>SHAP=-0.21",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>PassengerClass=1<br>SHAP=-1.11",
-          "index=Moran, Mr. Daniel J<br>Age=nan<br>PassengerClass=3<br>SHAP=0.13",
-          "index=Lievens, Mr. Rene Aime<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.11",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>PassengerClass=1<br>SHAP=1.5",
-          "index=Ayoub, Miss. Banoura<br>Age=13.0<br>PassengerClass=3<br>SHAP=0.82",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>PassengerClass=1<br>SHAP=-0.78",
-          "index=Johnston, Mr. Andrew G<br>Age=nan<br>PassengerClass=3<br>SHAP=0.0",
-          "index=Ali, Mr. William<br>Age=25.0<br>PassengerClass=3<br>SHAP=-0.02",
-          "index=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>PassengerClass=3<br>SHAP=0.48",
-          "index=Guggenheim, Mr. Benjamin<br>Age=46.0<br>PassengerClass=1<br>SHAP=0.12",
-          "index=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>PassengerClass=1<br>SHAP=-0.32",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>PassengerClass=2<br>SHAP=0.33",
-          "index=Carter, Master. William Thornton II<br>Age=11.0<br>PassengerClass=1<br>SHAP=0.97",
-          "index=Thomas, Master. Assad Alexander<br>Age=0.42<br>PassengerClass=3<br>SHAP=-0.09",
-          "index=Johansson, Mr. Karl Johan<br>Age=31.0<br>PassengerClass=3<br>SHAP=0.03",
-          "index=Slemen, Mr. Richard James<br>Age=35.0<br>PassengerClass=2<br>SHAP=-1.27",
-          "index=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>PassengerClass=3<br>SHAP=0.1",
-          "index=McCormack, Mr. Thomas Joseph<br>Age=nan<br>PassengerClass=3<br>SHAP=0.24",
-          "index=Richards, Master. George Sibley<br>Age=0.83<br>PassengerClass=2<br>SHAP=-0.04",
-          "index=Mudd, Mr. Thomas Charles<br>Age=16.0<br>PassengerClass=2<br>SHAP=0.35",
-          "index=Lemberopolous, Mr. Peter L<br>Age=34.5<br>PassengerClass=3<br>SHAP=-3.33",
-          "index=Sage, Mr. Douglas Bullen<br>Age=nan<br>PassengerClass=3<br>SHAP=0.34",
-          "index=Boulos, Miss. Nourelain<br>Age=9.0<br>PassengerClass=3<br>SHAP=0.52",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>PassengerClass=3<br>SHAP=0.49",
-          "index=Razi, Mr. Raihed<br>Age=nan<br>PassengerClass=3<br>SHAP=0.33",
-          "index=Johnson, Master. Harold Theodor<br>Age=4.0<br>PassengerClass=3<br>SHAP=-0.05",
-          "index=Carlsson, Mr. Frans Olof<br>Age=33.0<br>PassengerClass=1<br>SHAP=1.13",
-          "index=Gustafsson, Mr. Alfred Ossian<br>Age=20.0<br>PassengerClass=3<br>SHAP=-0.09",
-          "index=Montvila, Rev. Juozas<br>Age=27.0<br>PassengerClass=2<br>SHAP=0.28"
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\"y2\", \"domain\": [0.36874999999999997, 0.475], \"showgrid\": false, \"visible\": false, \"zeroline\": false}, \"xaxis3\": {\"anchor\": \"y3\", \"domain\": [0.525, 0.84375]}, \"xaxis4\": {\"anchor\": \"y4\", \"domain\": [0.8937499999999999, 0.9999999999999999], \"showgrid\": false, \"visible\": false, \"zeroline\": false}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"range\": [-6.5579996275159145, 8.296331885397326], \"title\": {\"text\": \"SHAP value ($)\"}}, \"yaxis2\": {\"anchor\": \"x2\", \"domain\": [0.0, 1.0], \"matches\": \"y\", \"range\": [-6.5579996275159145, 8.296331885397326], \"showgrid\": false, \"showticklabels\": false, \"zeroline\": false}, \"yaxis3\": {\"anchor\": \"x3\", \"domain\": [0.0, 1.0], \"matches\": \"y\", \"range\": [-6.5579996275159145, 8.296331885397326], \"showticklabels\": false}, \"yaxis4\": {\"anchor\": \"x4\", \"domain\": [0.0, 1.0], \"matches\": \"y\", \"range\": [-6.5579996275159145, 8.296331885397326], \"showgrid\": false, \"showticklabels\": false, \"zeroline\": false}},                        {\"responsive\": true}                    ).then(function(){\n",
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "explainer.plot_interaction(\"Sex\", \"PassengerClass\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-01-20T16:03:27.130465Z",
+     "start_time": "2021-01-20T16:03:27.111051Z"
+    }
+   },
+   "outputs": [
+    {
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+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=4.595",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=4.909",
+          "None=Palsson, Master. Gosta Leonard<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-1.085",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-1.746",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.492",
+          "None=Saundercock, Mr. William Henry<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.705",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.072",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.018",
+          "None=Glynn, Miss. Mary Agatha<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-1.813",
+          "None=Meyer, Mr. Edgar Joseph<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-2.487",
+          "None=Kraeff, Mr. Theodor<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-2.484",
+          "None=Devaney, Miss. Margaret Delia<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-1.543",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-1.812",
+          "None=Rugg, Miss. Emily<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.640",
+          "None=Harris, Mr. Henry Birkhardt<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=2.839",
+          "None=Skoog, Master. Harald<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-1.789",
+          "None=Kink, Mr. Vincenz<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.954",
+          "None=Hood, Mr. Ambrose Jr<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.717",
+          "None=Ilett, Miss. Bertha<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.526",
+          "None=Ford, Mr. William Neal<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=7.058",
+          "None=Christmann, Mr. Emil<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-1.636",
+          "None=Andreasson, Mr. Paul Edvin<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.072",
+          "None=Chaffee, Mr. Herbert Fuller<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=3.702",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-1.023",
+          "None=White, Mr. Richard Frasar<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.036",
+          "None=Rekic, Mr. Tido<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.054",
+          "None=Moran, Miss. Bertha<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=5.979",
+          "None=Barton, Mr. David John<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=4.964",
+          "None=Jussila, Miss. Katriina<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=5.488",
+          "None=Pekoniemi, Mr. Edvard<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.604",
+          "None=Turpin, Mr. William John Robert<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=4.450",
+          "None=Moore, Mr. Leonard Charles<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-2.484",
+          "None=Osen, Mr. Olaf Elon<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-1.245",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-0.929",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.060",
+          "None=Bateman, Rev. Robert James<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.962",
+          "None=Meo, Mr. Alfonzo<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-2.327",
+          "None=Cribb, Mr. John Hatfield<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.552",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-1.192",
+          "None=Van der hoef, Mr. Wyckoff<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.450",
+          "None=Sivola, Mr. Antti Wilhelm<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=2.756",
+          "None=Klasen, Mr. Klas Albin<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=2.802",
+          "None=Rood, Mr. Hugh Roscoe<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.946",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-0.927",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=6.178",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-1.876",
+          "None=Backstrom, Mr. Karl Alfred<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.450",
+          "None=Blank, Mr. Henry<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.006",
+          "None=Ali, Mr. Ahmed<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-1.281",
+          "None=Green, Mr. George Henry<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.448",
+          "None=Nenkoff, Mr. Christo<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=3.672",
+          "None=Asplund, Miss. Lillian Gertrud<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-1.918",
+          "None=Harknett, Miss. Alice Phoebe<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=4.537",
+          "None=Hunt, Mr. George Henry<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=4.577",
+          "None=Reed, Mr. James George<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=3.694",
+          "None=Stead, Mr. William Thomas<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=1.071",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.230",
+          "None=Parrish, Mrs. (Lutie Davis)<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=3.338",
+          "None=Smith, Mr. Thomas<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.448",
+          "None=Asplund, Master. Edvin Rojj Felix<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=5.263",
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+          "None=Andrews, Miss. Kornelia Theodosia<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.935",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-1.244"
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+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.350",
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+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.741",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.356",
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+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357",
+          "None=Rugg, Miss. Emily<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.437",
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+          "None=Kink, Mr. Vincenz<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.306",
+          "None=Hood, Mr. Ambrose Jr<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.086",
+          "None=Ilett, Miss. Bertha<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357",
+          "None=Ford, Mr. William Neal<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.327",
+          "None=Christmann, Mr. Emil<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=0.461",
+          "None=Andreasson, Mr. Paul Edvin<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.658",
+          "None=Chaffee, Mr. Herbert Fuller<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.610",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.834",
+          "None=White, Mr. Richard Frasar<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-2.373",
+          "None=Rekic, Mr. Tido<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.306",
+          "None=Moran, Miss. Bertha<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.224",
+          "None=Barton, Mr. David John<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.335",
+          "None=Jussila, Miss. Katriina<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.380",
+          "None=Pekoniemi, Mr. Edvard<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.016",
+          "None=Turpin, Mr. William John Robert<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.229",
+          "None=Moore, Mr. Leonard Charles<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.269",
+          "None=Osen, Mr. Olaf Elon<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.608",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.658",
+          "None=Bateman, Rev. Robert James<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357",
+          "None=Meo, Mr. Alfonzo<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.334",
+          "None=Cribb, Mr. John Hatfield<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.226",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.330",
+          "None=Van der hoef, Mr. Wyckoff<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.335",
+          "None=Sivola, Mr. Antti Wilhelm<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=0.990",
+          "None=Klasen, Mr. Klas Albin<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-4.329",
+          "None=Rood, Mr. Hugh Roscoe<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.331",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.627",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357",
+          "None=Backstrom, Mr. Karl Alfred<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.654",
+          "None=Blank, Mr. Henry<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.151",
+          "None=Ali, Mr. Ahmed<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.302",
+          "None=Green, Mr. George Henry<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.688",
+          "None=Nenkoff, Mr. Christo<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.302",
+          "None=Asplund, Miss. Lillian Gertrud<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357",
+          "None=Harknett, Miss. Alice Phoebe<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.299",
+          "None=Hunt, Mr. George Henry<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.226",
+          "None=Reed, Mr. James George<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.741",
+          "None=Stead, Mr. William Thomas<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.645",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.435",
+          "None=Parrish, Mrs. (Lutie Davis)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.192",
+          "None=Smith, Mr. Thomas<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.317",
+          "None=Asplund, Master. Edvin Rojj Felix<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.152",
+          "None=Healy, Miss. Hanora \"Nora\"<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.177",
+          "None=Andrews, Miss. Kornelia Theodosia<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.654",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.306",
+          "None=Smith, Mr. Richard William<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.407",
+          "None=Connolly, Miss. Kate<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=2.741",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.306",
+          "None=Levy, Mr. Rene Jacques<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357",
+          "None=Lewy, Mr. Ervin G<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.269",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-2.184",
+          "None=Sage, Mr. George John Jr<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-4.290",
+          "None=Nysveen, Mr. Johan Hansen<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.352",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-2.145",
+          "None=Denkoff, Mr. Mitto<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.062",
+          "None=Burns, Miss. Elizabeth Margaret<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.414",
+          "None=Dimic, Mr. Jovan<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.226",
+          "None=del Carlo, Mr. Sebastiano<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.626",
+          "None=Beavan, Mr. William Thomas<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.302",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.390",
+          "None=Widener, Mr. Harry Elkins<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357",
+          "None=Gustafsson, Mr. Karl Gideon<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.352",
+          "None=Plotcharsky, Mr. Vasil<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-2.590",
+          "None=Goodwin, Master. Sidney Leonard<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-5.320",
+          "None=Sadlier, Mr. Matthew<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.278",
+          "None=Gustafsson, Mr. Johan Birger<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-4.340",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357",
+          "None=Niskanen, Mr. Juha<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.226",
+          "None=Minahan, Miss. Daisy E<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.072",
+          "None=Matthews, Mr. William John<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.380",
+          "None=Charters, Mr. David<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.608",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=2.856",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.356",
+          "None=Peuchen, Major. Arthur Godfrey<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.300",
+          "None=Anderson, Mr. Harry<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.656",
+          "None=Milling, Mr. Jacob Christian<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-1.729",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-2.641",
+          "None=Karlsson, Mr. Nils August<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.290",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.340",
+          "None=Bishop, Mr. Dickinson H<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.303",
+          "None=Windelov, Mr. Einar<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.069",
+          "None=Shellard, Mr. Frederick William<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.006",
+          "None=Svensson, Mr. Olof<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.302",
+          "None=O'Sullivan, Miss. Bridget Mary<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.195",
+          "None=Laitinen, Miss. Kristina Sofia<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-2.353",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.380",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.658",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.226",
+          "None=Kassem, Mr. Fared<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.608",
+          "None=Cacic, Miss. Marija<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.683",
+          "None=Hart, Miss. Eva Miriam<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.356",
+          "None=Butt, Major. Archibald Willingham<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.356",
+          "None=Beane, Mr. Edward<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.380",
+          "None=Goldsmith, Mr. Frank John<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357",
+          "None=Ohman, Miss. Velin<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.901",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.278",
+          "None=Morrow, Mr. Thomas Rowan<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.380",
+          "None=Harris, Mr. George<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.327",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.906",
+          "None=Patchett, Mr. George<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.269",
+          "None=Ross, Mr. John Hugo<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.191",
+          "None=Murdlin, Mr. Joseph<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.343",
+          "None=Bourke, Miss. Mary<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=0.531",
+          "None=Boulos, Mr. Hanna<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=2.171",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.623",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.392",
+          "None=Lindell, Mr. Edvard Bengtsson<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.689",
+          "None=Daniel, Mr. Robert Williams<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.385",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.210",
+          "None=Shutes, Miss. Elizabeth W<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=0.448",
+          "None=Jardin, Mr. Jose Neto<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.377",
+          "None=Horgan, Mr. John<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.693",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.331",
+          "None=Yasbeck, Mr. Antoni<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.352",
+          "None=Bostandyeff, Mr. Guentcho<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.296",
+          "None=Lundahl, Mr. Johan Svensson<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-2.191",
+          "None=Stahelin-Maeglin, Dr. Max<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.302",
+          "None=Willey, Mr. Edward<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.430"
+         ],
+         "type": "scattergl",
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@@ -106169,7 +67812,7 @@
         "hovermode": "closest",
         "paper_bgcolor": "#fff",
         "plot_bgcolor": "#fff",
-        "showlegend": false,
+        "showlegend": true,
         "template": {
          "data": {
           "scatter": [
@@ -106180,11 +67823,11 @@
          }
         },
         "title": {
-         "text": "Interaction plot for Age and PassengerClass"
+         "text": "Interaction plot for PassengerClass and Sex"
         },
         "xaxis": {
          "title": {
-          "text": "Age"
+          "text": "PassengerClass"
          }
         },
         "yaxis": {
@@ -106195,9 +67838,9 @@
        }
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Katriina<br>Age=20.0<br>PassengerClass=3<br>SHAP=0.35\", \"index=Pekoniemi, Mr. Edvard<br>Age=21.0<br>PassengerClass=3<br>SHAP=-0.09\", \"index=Turpin, Mr. William John Robert<br>Age=29.0<br>PassengerClass=2<br>SHAP=0.42\", \"index=Moore, Mr. Leonard Charles<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16\", \"index=Osen, Mr. Olaf Elon<br>Age=16.0<br>PassengerClass=3<br>SHAP=-0.21\", \"index=Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Age=9.0<br>PassengerClass=3<br>SHAP=0.21\", \"index=Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Age=36.5<br>PassengerClass=2<br>SHAP=-1.11\", \"index=Bateman, Rev. 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Carla Christine Nielsine<br>Age=19.0<br>PassengerClass=3<br>SHAP=0.43\", \"index=Brown, Mrs. James Joseph (Margaret Tobin)<br>Age=44.0<br>PassengerClass=1<br>SHAP=2.91\", \"index=Vande Walle, Mr. Nestor Cyriel<br>Age=28.0<br>PassengerClass=3<br>SHAP=0.15\", \"index=Backstrom, Mr. Karl Alfred<br>Age=32.0<br>PassengerClass=3<br>SHAP=0.0\", \"index=Blank, Mr. Henry<br>Age=40.0<br>PassengerClass=1<br>SHAP=2.1\", \"index=Ali, Mr. Ahmed<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.11\", \"index=Green, Mr. George Henry<br>Age=51.0<br>PassengerClass=3<br>SHAP=0.14\", \"index=Nenkoff, Mr. Christo<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16\", \"index=Asplund, Miss. Lillian Gertrud<br>Age=5.0<br>PassengerClass=3<br>SHAP=0.23\", \"index=Harknett, Miss. Alice Phoebe<br>Age=nan<br>PassengerClass=3<br>SHAP=0.7\", \"index=Hunt, Mr. George Henry<br>Age=33.0<br>PassengerClass=2<br>SHAP=-0.14\", \"index=Reed, Mr. James George<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16\", \"index=Stead, Mr. William Thomas<br>Age=62.0<br>PassengerClass=1<br>SHAP=-2.1\", \"index=Thorne, Mrs. Gertrude Maybelle<br>Age=nan<br>PassengerClass=1<br>SHAP=-2.91\", \"index=Parrish, Mrs. (Lutie Davis)<br>Age=50.0<br>PassengerClass=2<br>SHAP=-0.51\", \"index=Smith, Mr. Thomas<br>Age=nan<br>PassengerClass=3<br>SHAP=0.1\", \"index=Asplund, Master. Edvin Rojj Felix<br>Age=3.0<br>PassengerClass=3<br>SHAP=0.09\", \"index=Healy, Miss. Hanora \\\"Nora\\\"<br>Age=nan<br>PassengerClass=3<br>SHAP=0.78\", \"index=Andrews, Miss. Kornelia Theodosia<br>Age=63.0<br>PassengerClass=1<br>SHAP=-1.36\", \"index=Abbott, Mrs. Stanton (Rosa Hunt)<br>Age=35.0<br>PassengerClass=3<br>SHAP=-1.96\", \"index=Smith, Mr. Richard William<br>Age=nan<br>PassengerClass=1<br>SHAP=0.95\", \"index=Connolly, Miss. Kate<br>Age=22.0<br>PassengerClass=3<br>SHAP=0.7\", \"index=Bishop, Mrs. Dickinson H (Helen Walton)<br>Age=19.0<br>PassengerClass=1<br>SHAP=-1.55\", \"index=Levy, Mr. Rene Jacques<br>Age=36.0<br>PassengerClass=2<br>SHAP=-3.47\", \"index=Lewy, Mr. Ervin G<br>Age=nan<br>PassengerClass=1<br>SHAP=-0.14\", \"index=Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16\", \"index=Sage, Mr. George John Jr<br>Age=nan<br>PassengerClass=3<br>SHAP=0.34\", \"index=Nysveen, Mr. Johan Hansen<br>Age=61.0<br>PassengerClass=3<br>SHAP=0.19\", \"index=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Age=nan<br>PassengerClass=1<br>SHAP=-1.35\", \"index=Denkoff, Mr. Mitto<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16\", \"index=Burns, Miss. Elizabeth Margaret<br>Age=41.0<br>PassengerClass=1<br>SHAP=3.08\", \"index=Dimic, Mr. Jovan<br>Age=42.0<br>PassengerClass=3<br>SHAP=-0.35\", \"index=del Carlo, Mr. Sebastiano<br>Age=29.0<br>PassengerClass=2<br>SHAP=0.64\", \"index=Beavan, Mr. William Thomas<br>Age=19.0<br>PassengerClass=3<br>SHAP=-0.09\", \"index=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Age=nan<br>PassengerClass=1<br>SHAP=-2.58\", \"index=Widener, Mr. Harry Elkins<br>Age=27.0<br>PassengerClass=1<br>SHAP=-0.13\", \"index=Gustafsson, Mr. Karl Gideon<br>Age=19.0<br>PassengerClass=3<br>SHAP=-0.09\", \"index=Plotcharsky, Mr. Vasil<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16\", \"index=Goodwin, Master. Sidney Leonard<br>Age=1.0<br>PassengerClass=3<br>SHAP=-0.2\", \"index=Sadlier, Mr. Matthew<br>Age=nan<br>PassengerClass=3<br>SHAP=0.1\", \"index=Gustafsson, Mr. Johan Birger<br>Age=28.0<br>PassengerClass=3<br>SHAP=0.19\", \"index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.08\", \"index=Niskanen, Mr. Juha<br>Age=39.0<br>PassengerClass=3<br>SHAP=-0.31\", \"index=Minahan, Miss. Daisy E<br>Age=33.0<br>PassengerClass=1<br>SHAP=0.81\", \"index=Matthews, Mr. William John<br>Age=30.0<br>PassengerClass=2<br>SHAP=0.25\", \"index=Charters, Mr. David<br>Age=21.0<br>PassengerClass=3<br>SHAP=-0.07\", \"index=Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Age=19.0<br>PassengerClass=2<br>SHAP=0.78\", \"index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Age=45.0<br>PassengerClass=2<br>SHAP=-0.33\", \"index=Johannesen-Bratthammer, Mr. Bernt<br>Age=nan<br>PassengerClass=3<br>SHAP=0.29\", \"index=Peuchen, Major. Arthur Godfrey<br>Age=52.0<br>PassengerClass=1<br>SHAP=-1.48\", \"index=Anderson, Mr. Harry<br>Age=48.0<br>PassengerClass=1<br>SHAP=-0.78\", \"index=Milling, Mr. Jacob Christian<br>Age=48.0<br>PassengerClass=2<br>SHAP=0.35\", \"index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Age=33.0<br>PassengerClass=2<br>SHAP=-0.74\", \"index=Karlsson, Mr. Nils August<br>Age=22.0<br>PassengerClass=3<br>SHAP=-0.09\", \"index=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Age=nan<br>PassengerClass=2<br>SHAP=-1.07\", \"index=Bishop, Mr. Dickinson H<br>Age=25.0<br>PassengerClass=1<br>SHAP=-1.83\", \"index=Windelov, Mr. Einar<br>Age=21.0<br>PassengerClass=3<br>SHAP=-0.09\", \"index=Shellard, Mr. Frederick William<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16\", \"index=Svensson, Mr. Olof<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.11\", \"index=O'Sullivan, Miss. Bridget Mary<br>Age=nan<br>PassengerClass=3<br>SHAP=0.64\", \"index=Laitinen, Miss. Kristina Sofia<br>Age=37.0<br>PassengerClass=3<br>SHAP=-1.32\", \"index=Penasco y Castellana, Mr. Victor de Satode<br>Age=18.0<br>PassengerClass=1<br>SHAP=-0.49\", \"index=Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Age=nan<br>PassengerClass=1<br>SHAP=0.11\", \"index=Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Age=36.0<br>PassengerClass=2<br>SHAP=-1.75\", \"index=Kassem, Mr. Fared<br>Age=nan<br>PassengerClass=3<br>SHAP=0.33\", \"index=Cacic, Miss. Marija<br>Age=30.0<br>PassengerClass=3<br>SHAP=0.61\", \"index=Hart, Miss. Eva Miriam<br>Age=7.0<br>PassengerClass=2<br>SHAP=0.63\", \"index=Butt, Major. Archibald Willingham<br>Age=45.0<br>PassengerClass=1<br>SHAP=0.54\", \"index=Beane, Mr. Edward<br>Age=32.0<br>PassengerClass=2<br>SHAP=0.18\", \"index=Goldsmith, Mr. Frank John<br>Age=33.0<br>PassengerClass=3<br>SHAP=-0.66\", \"index=Ohman, Miss. Velin<br>Age=22.0<br>PassengerClass=3<br>SHAP=0.65\", \"index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Age=39.0<br>PassengerClass=1<br>SHAP=1.15\", \"index=Morrow, Mr. Thomas Rowan<br>Age=nan<br>PassengerClass=3<br>SHAP=0.1\", \"index=Harris, Mr. George<br>Age=62.0<br>PassengerClass=2<br>SHAP=0.18\", \"index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Age=53.0<br>PassengerClass=1<br>SHAP=-1.51\", \"index=Patchett, Mr. George<br>Age=19.0<br>PassengerClass=3<br>SHAP=-0.09\", \"index=Ross, Mr. John Hugo<br>Age=36.0<br>PassengerClass=1<br>SHAP=11.56\", \"index=Murdlin, Mr. Joseph<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16\", \"index=Bourke, Miss. Mary<br>Age=nan<br>PassengerClass=3<br>SHAP=0.66\", \"index=Boulos, Mr. Hanna<br>Age=nan<br>PassengerClass=3<br>SHAP=0.33\", \"index=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Age=49.0<br>PassengerClass=1<br>SHAP=-1.41\", \"index=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Age=35.0<br>PassengerClass=1<br>SHAP=13.52\", \"index=Lindell, Mr. Edvard Bengtsson<br>Age=36.0<br>PassengerClass=3<br>SHAP=-1.34\", \"index=Daniel, Mr. Robert Williams<br>Age=27.0<br>PassengerClass=1<br>SHAP=-1.09\", \"index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Age=22.0<br>PassengerClass=2<br>SHAP=0.89\", \"index=Shutes, Miss. Elizabeth W<br>Age=40.0<br>PassengerClass=1<br>SHAP=1.68\", \"index=Jardin, Mr. Jose Neto<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16\", \"index=Horgan, Mr. John<br>Age=nan<br>PassengerClass=3<br>SHAP=0.1\", \"index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Age=26.0<br>PassengerClass=3<br>SHAP=0.49\", \"index=Yasbeck, Mr. Antoni<br>Age=27.0<br>PassengerClass=3<br>SHAP=0.45\", \"index=Bostandyeff, Mr. Guentcho<br>Age=26.0<br>PassengerClass=3<br>SHAP=0.19\", \"index=Lundahl, Mr. Johan Svensson<br>Age=51.0<br>PassengerClass=3<br>SHAP=0.14\", \"index=Stahelin-Maeglin, Dr. Max<br>Age=32.0<br>PassengerClass=1<br>SHAP=0.3\", \"index=Willey, Mr. Edward<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16\", \"index=Stanley, Miss. Amy Zillah Elsie<br>Age=23.0<br>PassengerClass=3<br>SHAP=0.64\", \"index=Hegarty, Miss. 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Anna Sofia<br>Age=18.0<br>PassengerClass=3<br>SHAP=0.48\", \"index=Hassab, Mr. Hammad<br>Age=27.0<br>PassengerClass=1<br>SHAP=-2.17\", \"index=Goodwin, Mr. Charles Edward<br>Age=14.0<br>PassengerClass=3<br>SHAP=-0.17\", \"index=Panula, Mr. Jaako Arnold<br>Age=14.0<br>PassengerClass=3<br>SHAP=0.06\", \"index=Fischer, Mr. Eberhard Thelander<br>Age=18.0<br>PassengerClass=3<br>SHAP=-0.26\", \"index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Age=42.0<br>PassengerClass=3<br>SHAP=-0.23\", \"index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Age=18.0<br>PassengerClass=1<br>SHAP=-1.67\", \"index=Hansen, Mr. Henrik Juul<br>Age=26.0<br>PassengerClass=3<br>SHAP=0.17\", \"index=Calderhead, Mr. Edward Pennington<br>Age=42.0<br>PassengerClass=1<br>SHAP=0.58\", \"index=Klaber, Mr. Herman<br>Age=nan<br>PassengerClass=1<br>SHAP=1.35\", \"index=Taylor, Mr. Elmer Zebley<br>Age=48.0<br>PassengerClass=1<br>SHAP=-0.97\", \"index=Larsson, Mr. August Viktor<br>Age=29.0<br>PassengerClass=3<br>SHAP=0.13\", \"index=Greenberg, Mr. Samuel<br>Age=52.0<br>PassengerClass=2<br>SHAP=0.42\", \"index=Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Age=27.0<br>PassengerClass=2<br>SHAP=0.32\", \"index=McEvoy, Mr. Michael<br>Age=nan<br>PassengerClass=3<br>SHAP=0.1\", \"index=Johnson, Mr. Malkolm Joackim<br>Age=33.0<br>PassengerClass=3<br>SHAP=-0.24\", \"index=Gillespie, Mr. William Henry<br>Age=34.0<br>PassengerClass=2<br>SHAP=-1.05\", \"index=Allen, Miss. Elisabeth Walton<br>Age=29.0<br>PassengerClass=1<br>SHAP=-1.43\", \"index=Berriman, Mr. William John<br>Age=23.0<br>PassengerClass=2<br>SHAP=0.03\", \"index=Troupiansky, Mr. Moses Aaron<br>Age=23.0<br>PassengerClass=2<br>SHAP=0.03\", \"index=Williams, Mr. Leslie<br>Age=28.5<br>PassengerClass=3<br>SHAP=0.15\", \"index=Ivanoff, Mr. Kanio<br>Age=nan<br>PassengerClass=3<br>SHAP=0.16\", \"index=McNamee, Mr. Neal<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.09\", \"index=Connaghton, Mr. Michael<br>Age=31.0<br>PassengerClass=3<br>SHAP=-0.18\", \"index=Carlsson, Mr. August Sigfrid<br>Age=28.0<br>PassengerClass=3<br>SHAP=0.15\", \"index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Age=33.0<br>PassengerClass=1<br>SHAP=0.66\", \"index=Eklund, Mr. Hans Linus<br>Age=16.0<br>PassengerClass=3<br>SHAP=-0.21\", \"index=Hogeboom, Mrs. John C (Anna Andrews)<br>Age=51.0<br>PassengerClass=1<br>SHAP=-1.11\", \"index=Moran, Mr. Daniel J<br>Age=nan<br>PassengerClass=3<br>SHAP=0.13\", \"index=Lievens, Mr. Rene Aime<br>Age=24.0<br>PassengerClass=3<br>SHAP=-0.11\", \"index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Age=43.0<br>PassengerClass=1<br>SHAP=1.5\", \"index=Ayoub, Miss. Banoura<br>Age=13.0<br>PassengerClass=3<br>SHAP=0.82\", \"index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Age=17.0<br>PassengerClass=1<br>SHAP=-0.78\", \"index=Johnston, Mr. Andrew G<br>Age=nan<br>PassengerClass=3<br>SHAP=0.0\", \"index=Ali, Mr. William<br>Age=25.0<br>PassengerClass=3<br>SHAP=-0.02\", \"index=Sjoblom, Miss. Anna Sofia<br>Age=18.0<br>PassengerClass=3<br>SHAP=0.48\", \"index=Guggenheim, Mr. Benjamin<br>Age=46.0<br>PassengerClass=1<br>SHAP=0.12\", \"index=Leader, Dr. Alice (Farnham)<br>Age=49.0<br>PassengerClass=1<br>SHAP=-0.32\", \"index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Age=31.0<br>PassengerClass=2<br>SHAP=0.33\", \"index=Carter, Master. William Thornton II<br>Age=11.0<br>PassengerClass=1<br>SHAP=0.97\", \"index=Thomas, Master. Assad Alexander<br>Age=0.42<br>PassengerClass=3<br>SHAP=-0.09\", \"index=Johansson, Mr. Karl Johan<br>Age=31.0<br>PassengerClass=3<br>SHAP=0.03\", \"index=Slemen, Mr. Richard James<br>Age=35.0<br>PassengerClass=2<br>SHAP=-1.27\", \"index=Tomlin, Mr. Ernest Portage<br>Age=30.5<br>PassengerClass=3<br>SHAP=0.1\", \"index=McCormack, Mr. Thomas Joseph<br>Age=nan<br>PassengerClass=3<br>SHAP=0.24\", \"index=Richards, Master. George Sibley<br>Age=0.83<br>PassengerClass=2<br>SHAP=-0.04\", \"index=Mudd, Mr. Thomas Charles<br>Age=16.0<br>PassengerClass=2<br>SHAP=0.35\", \"index=Lemberopolous, Mr. Peter L<br>Age=34.5<br>PassengerClass=3<br>SHAP=-3.33\", \"index=Sage, Mr. Douglas Bullen<br>Age=nan<br>PassengerClass=3<br>SHAP=0.34\", \"index=Boulos, Miss. Nourelain<br>Age=9.0<br>PassengerClass=3<br>SHAP=0.52\", \"index=Aks, Mrs. Sam (Leah Rosen)<br>Age=18.0<br>PassengerClass=3<br>SHAP=0.49\", \"index=Razi, Mr. Raihed<br>Age=nan<br>PassengerClass=3<br>SHAP=0.33\", \"index=Johnson, Master. 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\"scatter\", \"x\": [20.0], \"y\": [-0.09125421679129976]}],                        {\"hovermode\": \"closest\", \"paper_bgcolor\": \"#fff\", \"plot_bgcolor\": \"#fff\", \"showlegend\": false, \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Interaction plot for Age and PassengerClass\"}, \"xaxis\": {\"title\": {\"text\": \"Age\"}}, \"yaxis\": {\"title\": {\"text\": \"SHAP value ($)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "<div>                            <div id=\"7c9c1f88-8d27-4fda-a587-19a01b3d0270\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"7c9c1f88-8d27-4fda-a587-19a01b3d0270\")) {                    Plotly.newPlot(                        \"7c9c1f88-8d27-4fda-a587-19a01b3d0270\",                        [{\"hoverinfo\": \"text\", \"marker\": {\"opacity\": 0.6, \"showscale\": false, \"size\": 7}, \"mode\": \"markers\", \"name\": \"Sex_female\", \"opacity\": 0.8, \"showlegend\": true, \"text\": [\"None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=4.595\", \"None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=4.909\", \"None=Palsson, Master. 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Margaret Delia<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-1.543\", \"None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-1.812\", \"None=Rugg, Miss. Emily<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.640\", \"None=Harris, Mr. Henry Birkhardt<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=2.839\", \"None=Skoog, Master. Harald<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-1.789\", \"None=Kink, Mr. Vincenz<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.954\", \"None=Hood, Mr. Ambrose Jr<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.717\", \"None=Ilett, Miss. Bertha<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.526\", \"None=Ford, Mr. William Neal<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=7.058\", \"None=Christmann, Mr. Emil<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-1.636\", \"None=Andreasson, Mr. Paul Edvin<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.072\", \"None=Chaffee, Mr. Herbert Fuller<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=3.702\", \"None=Petroff, Mr. Pastcho (\\\"Pentcho\\\")<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-1.023\", \"None=White, Mr. Richard Frasar<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.036\", \"None=Rekic, Mr. Tido<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=0.054\", \"None=Moran, Miss. Bertha<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=5.979\", \"None=Barton, Mr. David John<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=4.964\", \"None=Jussila, Miss. Katriina<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=5.488\", \"None=Pekoniemi, Mr. Edvard<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.604\", \"None=Turpin, Mr. William John Robert<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=4.450\", \"None=Moore, Mr. Leonard Charles<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-2.484\", \"None=Osen, Mr. Olaf Elon<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-1.245\", \"None=Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-0.929\", \"None=Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.060\", \"None=Bateman, Rev. Robert James<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.962\", \"None=Meo, Mr. Alfonzo<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-2.327\", \"None=Cribb, Mr. John Hatfield<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.552\", \"None=Chibnall, Mrs. (Edith Martha Bowerman)<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-1.192\", \"None=Van der hoef, Mr. Wyckoff<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.450\", \"None=Sivola, Mr. Antti Wilhelm<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=2.756\", \"None=Klasen, Mr. Klas Albin<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=2.802\", \"None=Rood, Mr. Hugh Roscoe<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.946\", \"None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-0.927\", \"None=Brown, Mrs. James Joseph (Margaret Tobin)<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=6.178\", \"None=Vande Walle, Mr. Nestor Cyriel<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-1.876\", \"None=Backstrom, Mr. Karl Alfred<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.450\", \"None=Blank, Mr. Henry<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.006\", \"None=Ali, Mr. Ahmed<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-1.281\", \"None=Green, Mr. George Henry<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-2.448\", \"None=Nenkoff, Mr. Christo<br>PassengerClass=1<br>Sex=Sex_female<br>SHAP=3.672\", \"None=Asplund, Miss. Lillian Gertrud<br>PassengerClass=2<br>Sex=Sex_female<br>SHAP=-1.918\", \"None=Harknett, Miss. 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Kornelia Theodosia<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-0.935\", \"None=Abbott, Mrs. Stanton (Rosa Hunt)<br>PassengerClass=3<br>Sex=Sex_female<br>SHAP=-1.244\"], \"type\": \"scattergl\", \"x\": [1, 1, 3, 2, 3, 3, 3, 3, 3, 2, 2, 3, 3, 3, 1, 3, 1, 3, 3, 1, 2, 3, 1, 3, 3, 1, 1, 1, 1, 3, 1, 2, 2, 2, 3, 3, 2, 3, 2, 3, 1, 1, 3, 2, 1, 3, 3, 3, 2, 3, 1, 2, 1, 1, 1, 1, 3, 1, 3, 1, 2, 3, 3], \"y\": [4.595392812078078, 4.908941179379452, -1.0851124258621643, -1.746317041948752, -2.4922973676546416, -0.7053946501855102, -2.0724903063326905, -2.0175834225189755, -1.8133628057986875, -2.486533467597867, -2.484478861770235, -1.5433196831194291, -1.8123887045040712, -0.6395202472524487, 2.8390977746574957, -1.788965271538356, 0.9538846100985414, -0.7172798683911303, -2.5258273193096463, 7.058470925987889, -1.6359494231749303, -2.0724903063326905, 3.701521346241605, -1.023101585078192, -2.0361551894062653, 0.054352389932142586, 5.979135517902293, 4.96441833890626, 5.4881203862128665, -0.603509872101365, 4.449579460603425, -2.4835047604756184, -1.245094173673499, -0.9294161625103794, -2.0595718286775027, -2.9617195624348462, -2.3269761967848988, -2.5520979198389737, -1.1917124659761633, -2.450238816476275, 2.7559162022958272, 2.8024685177319872, -0.9460378161681625, -0.9266228996112724, 6.1779093435655055, -1.8756727306775884, -2.450238816476275, -2.005639046158404, -1.2811896788975892, -2.4481842106486433, 3.67196308039993, -1.9176278202224664, 4.536517239269263, 4.577087992082795, 3.694296313305953, 1.0714605877904837, -2.2296189588709403, 3.337716245942016, -2.4481842106486433, 5.262676477091159, -1.0422186080851383, -0.9350589745770987, -1.2440615794894352]}, {\"hoverinfo\": \"text\", \"marker\": {\"opacity\": 0.6, \"showscale\": false, \"size\": 7}, \"mode\": \"markers\", \"name\": \"Sex_male\", \"opacity\": 0.8, \"showlegend\": true, \"text\": [\"None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.350\", \"None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.302\", \"None=Palsson, Master. Gosta Leonard<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.476\", \"None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.352\", \"None=Nasser, Mrs. Nicholas (Adele Achem)<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-2.548\", \"None=Saundercock, Mr. William Henry<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.299\", \"None=Vestrom, Miss. Hulda Amanda Adolfina<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.741\", \"None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.356\", \"None=Glynn, Miss. Mary Agatha<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.155\", \"None=Meyer, Mr. Edgar Joseph<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.380\", \"None=Kraeff, Mr. Theodor<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.302\", \"None=Devaney, Miss. Margaret Delia<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-2.570\", \"None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357\", \"None=Rugg, Miss. Emily<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.437\", \"None=Harris, Mr. Henry Birkhardt<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.669\", \"None=Skoog, Master. Harald<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.306\", \"None=Kink, Mr. Vincenz<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.306\", \"None=Hood, Mr. Ambrose Jr<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.086\", \"None=Ilett, Miss. Bertha<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357\", \"None=Ford, Mr. William Neal<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.327\", \"None=Christmann, Mr. Emil<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=0.461\", \"None=Andreasson, Mr. Paul Edvin<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.658\", \"None=Chaffee, Mr. Herbert Fuller<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.610\", \"None=Petroff, Mr. Pastcho (\\\"Pentcho\\\")<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.834\", \"None=White, Mr. Richard Frasar<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-2.373\", \"None=Rekic, Mr. Tido<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.306\", \"None=Moran, Miss. Bertha<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.224\", \"None=Barton, Mr. David John<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.335\", \"None=Jussila, Miss. Katriina<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.380\", \"None=Pekoniemi, Mr. Edvard<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.016\", \"None=Turpin, Mr. William John Robert<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.229\", \"None=Moore, Mr. Leonard Charles<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.269\", \"None=Osen, Mr. Olaf Elon<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.608\", \"None=Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357\", \"None=Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.658\", \"None=Bateman, Rev. Robert James<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357\", \"None=Meo, Mr. Alfonzo<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.334\", \"None=Cribb, Mr. John Hatfield<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.226\", \"None=Chibnall, Mrs. (Edith Martha Bowerman)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.330\", \"None=Van der hoef, Mr. Wyckoff<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.335\", \"None=Sivola, Mr. Antti Wilhelm<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=0.990\", \"None=Klasen, Mr. Klas Albin<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-4.329\", \"None=Rood, Mr. Hugh Roscoe<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357\", \"None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.331\", \"None=Brown, Mrs. James Joseph (Margaret Tobin)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.627\", \"None=Vande Walle, Mr. Nestor Cyriel<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357\", \"None=Backstrom, Mr. Karl Alfred<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.654\", \"None=Blank, Mr. Henry<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.151\", \"None=Ali, Mr. Ahmed<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.302\", \"None=Green, Mr. George Henry<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-0.688\", \"None=Nenkoff, Mr. Christo<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.302\", \"None=Asplund, Miss. Lillian Gertrud<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357\", \"None=Harknett, Miss. Alice Phoebe<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.299\", \"None=Hunt, Mr. George Henry<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.226\", \"None=Reed, Mr. James George<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.741\", \"None=Stead, Mr. William Thomas<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.645\", \"None=Thorne, Mrs. Gertrude Maybelle<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.435\", \"None=Parrish, Mrs. (Lutie Davis)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.192\", \"None=Smith, Mr. Thomas<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.317\", \"None=Asplund, Master. Edvin Rojj Felix<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.152\", \"None=Healy, Miss. Hanora \\\"Nora\\\"<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.177\", \"None=Andrews, Miss. Kornelia Theodosia<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.654\", \"None=Abbott, Mrs. Stanton (Rosa Hunt)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.306\", \"None=Smith, Mr. Richard William<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.407\", \"None=Connolly, Miss. Kate<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=2.741\", \"None=Bishop, Mrs. Dickinson H (Helen Walton)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.306\", \"None=Levy, Mr. Rene Jacques<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357\", \"None=Lewy, Mr. Ervin G<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.269\", \"None=Williams, Mr. Howard Hugh \\\"Harry\\\"<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-2.184\", \"None=Sage, Mr. George John Jr<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-4.290\", \"None=Nysveen, Mr. Johan Hansen<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.352\", \"None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-2.145\", \"None=Denkoff, Mr. Mitto<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.062\", \"None=Burns, Miss. Elizabeth Margaret<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.414\", \"None=Dimic, Mr. Jovan<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.226\", \"None=del Carlo, Mr. Sebastiano<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.626\", \"None=Beavan, Mr. William Thomas<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.302\", \"None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.390\", \"None=Widener, Mr. Harry Elkins<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357\", \"None=Gustafsson, Mr. Karl Gideon<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.352\", \"None=Plotcharsky, Mr. Vasil<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-2.590\", \"None=Goodwin, Master. Sidney Leonard<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-5.320\", \"None=Sadlier, Mr. Matthew<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.278\", \"None=Gustafsson, Mr. Johan Birger<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-4.340\", \"None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357\", \"None=Niskanen, Mr. Juha<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.226\", \"None=Minahan, Miss. Daisy E<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.072\", \"None=Matthews, Mr. William John<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.380\", \"None=Charters, Mr. David<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.608\", \"None=Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=2.856\", \"None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357\", \"None=Johannesen-Bratthammer, Mr. Bernt<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.356\", \"None=Peuchen, Major. Arthur Godfrey<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.300\", \"None=Anderson, Mr. Harry<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.656\", \"None=Milling, Mr. Jacob Christian<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-1.729\", \"None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-2.641\", \"None=Karlsson, Mr. Nils August<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.290\", \"None=Frost, Mr. Anthony Wood \\\"Archie\\\"<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.340\", \"None=Bishop, Mr. Dickinson H<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.303\", \"None=Windelov, Mr. Einar<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.069\", \"None=Shellard, Mr. Frederick William<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.006\", \"None=Svensson, Mr. Olof<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.302\", \"None=O'Sullivan, Miss. Bridget Mary<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-3.195\", \"None=Laitinen, Miss. Kristina Sofia<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-2.353\", \"None=Penasco y Castellana, Mr. Victor de Satode<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.380\", \"None=Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.658\", \"None=Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.226\", \"None=Kassem, Mr. Fared<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.608\", \"None=Cacic, Miss. Marija<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.683\", \"None=Hart, Miss. Eva Miriam<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.356\", \"None=Butt, Major. Archibald Willingham<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.356\", \"None=Beane, Mr. Edward<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.380\", \"None=Goldsmith, Mr. Frank John<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.357\", \"None=Ohman, Miss. Velin<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.901\", \"None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.278\", \"None=Morrow, Mr. Thomas Rowan<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.380\", \"None=Harris, Mr. George<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.327\", \"None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.906\", \"None=Patchett, Mr. George<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.269\", \"None=Ross, Mr. John Hugo<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.191\", \"None=Murdlin, Mr. Joseph<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.343\", \"None=Bourke, Miss. Mary<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=0.531\", \"None=Boulos, Mr. Hanna<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=2.171\", \"None=Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.623\", \"None=Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.392\", \"None=Lindell, Mr. Edvard Bengtsson<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.689\", \"None=Daniel, Mr. Robert Williams<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.385\", \"None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.210\", \"None=Shutes, Miss. Elizabeth W<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=0.448\", \"None=Jardin, Mr. Jose Neto<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.377\", \"None=Horgan, Mr. John<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.693\", \"None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.331\", \"None=Yasbeck, Mr. Antoni<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.352\", \"None=Bostandyeff, Mr. Guentcho<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=0.296\", \"None=Lundahl, Mr. Johan Svensson<br>PassengerClass=1<br>Sex=Sex_male<br>SHAP=-2.191\", \"None=Stahelin-Maeglin, Dr. Max<br>PassengerClass=3<br>Sex=Sex_male<br>SHAP=1.302\", \"None=Willey, Mr. Edward<br>PassengerClass=2<br>Sex=Sex_male<br>SHAP=1.430\"], \"type\": \"scattergl\", \"x\": [3, 3, 1, 3, 1, 3, 3, 2, 3, 3, 3, 1, 3, 1, 3, 3, 3, 2, 3, 3, 2, 2, 3, 3, 1, 3, 3, 1, 3, 3, 1, 3, 3, 3, 2, 3, 1, 3, 3, 1, 2, 1, 3, 3, 3, 3, 3, 2, 3, 1, 3, 3, 3, 3, 3, 3, 2, 3, 3, 1, 1, 2, 3, 2, 1, 3, 3, 3, 1, 1, 3, 1, 2, 3, 3, 2, 3, 1, 3, 3, 1, 1, 3, 1, 3, 3, 3, 3, 3, 1, 3, 2, 1, 3, 1, 1, 3, 3, 3, 3, 3, 1, 1, 1, 3, 2, 3, 3, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 1, 1, 3, 3, 2, 3, 3, 2, 2, 3, 3, 3, 3, 1, 3, 2], \"y\": [0.3498311350416337, 1.3024397373168959, -3.476195737214035, 1.3516175715824477, -2.5477602837216855, 0.29863871843904644, 0.7405041611902216, 1.355903563943011, 0.15460424656206373, 1.380102813850715, 1.3024397373168959, -2.5697137876420015, 1.356927294146058, -0.4367189735104061, 1.6694942698431712, 1.3057208366993316, 1.3057208366993316, 1.0858890172256492, 1.356927294146058, 1.32686836982398, 0.46142830587633143, 1.658492810279495, 1.6096061910917732, 0.8339354223355038, -2.3727020525356632, 1.3057208366993316, 0.22379820262361833, -3.334718835555094, 1.380102813850715, 1.015894224008604, -3.229151509106135, 1.2691866408453936, 1.6083100830358157, 1.356927294146058, 1.6578473208183173, 1.356927294146058, -3.3338909383526083, 1.226275154543599, 0.32998643854761645, -3.334718835555094, 0.9898548724987648, -4.329360728763119, 1.356927294146058, 0.3308061817839043, 1.6272090384883262, 1.356927294146058, 1.6537525433374585, 1.1512642571197522, 1.3024397373168959, -0.688067636232468, 1.3024397373168959, 1.356927294146058, 0.2994251627145442, 1.226275154543599, 0.7405041611902216, 1.6453675156481498, 1.4350391910323292, 1.191907011842334, 1.3171151856102106, -3.152095790236436, -3.177025272034144, 1.6539104461927936, 1.3057208366993316, 1.4071100213897372, 2.741333901448813, 1.3057208366993316, 1.356927294146058, 1.2691866408453936, -2.1839281564010085, -4.2903667610468785, 1.3516175715824477, -2.145217976401426, 1.0615055869790817, 0.4140567089477703, 1.226275154543599, 1.6256372400255525, 1.3024397373168959, -3.389554006165721, 1.356927294146058, 1.3516175715824477, -2.589933764747549, -5.320138668106477, 1.2781356661748997, -4.339615075434272, 1.356927294146058, 1.226275154543599, 1.071567519795034, 1.380102813850715, 1.6083100830358157, 2.8559573644029213, 1.356927294146058, 1.355903563943011, -3.299533657960697, 1.6555573303605318, -1.729277719283517, -2.6414296503705996, 0.2900320197152678, 0.3404379920423573, 1.3034138386115122, 1.0688428810630364, 1.006192279900931, -3.301509890154981, -3.1946108800560777, -2.3532595267236296, 1.380102813850715, 1.658492810279495, 1.226275154543599, 1.607664593574638, 1.6830859446329232, 1.355903563943011, 1.355903563943011, 1.380102813850715, 1.356927294146058, 0.901092764627171, 1.27832149448383, 1.380102813850715, 1.32686836982398, 0.9055565813354507, 1.2691866408453936, 0.19053733038400503, 1.3430385190447767, 0.5305746854716679, 2.1709257474312027, 0.623475909280215, 1.3921353193408277, 1.6887241902970493, 1.3848564637886502, 1.209708248417445, 0.4479250725301265, 1.3770510970676593, 1.6925363635511719, 0.3308061817839043, 1.3516175715824477, 0.2957773909790573, -2.191454625468677, 1.3024397373168959, 1.4302855410943942]}],                        {\"hovermode\": \"closest\", \"paper_bgcolor\": \"#fff\", \"plot_bgcolor\": \"#fff\", \"showlegend\": true, \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Interaction plot for PassengerClass and Sex\"}, \"xaxis\": {\"title\": {\"text\": \"PassengerClass\"}}, \"yaxis\": {\"title\": {\"text\": \"SHAP value ($)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('e790bb61-5db2-4b66-810b-a197381a8855');\n",
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        "        if (!display || display === 'none') {{\n",
@@ -106227,16 +67870,16 @@
     }
    ],
    "source": [
-    "explainer.plot_interaction(\"PassengerClass\", \"Age\", highlight_index=5)"
+    "explainer.plot_interaction(\"PassengerClass\", \"Sex\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 66,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:47:30.510620Z",
-     "start_time": "2020-10-12T08:47:30.496230Z"
+     "end_time": "2021-01-20T16:03:30.234060Z",
+     "start_time": "2021-01-20T16:03:30.216487Z"
     }
    },
    "outputs": [
@@ -106259,7 +67902,9 @@
            20,
            14,
            38,
+           -999,
            28,
+           -999,
            19,
            18,
            21,
@@ -106272,21 +67917,26 @@
            29,
            20,
            46,
+           -999,
            21,
            38,
+           -999,
            22,
            20,
            21,
            29,
+           -999,
            16,
            9,
            36.5,
            51,
            55.5,
            44,
+           -999,
            61,
            21,
            18,
+           -999,
            19,
            44,
            28,
@@ -106294,24 +67944,39 @@
            40,
            24,
            51,
+           -999,
            5,
+           -999,
            33,
+           -999,
            62,
+           -999,
            50,
+           -999,
            3,
+           -999,
            63,
            35,
+           -999,
            22,
            19,
            36,
+           -999,
+           -999,
+           -999,
            61,
+           -999,
+           -999,
            41,
            42,
            29,
            19,
+           -999,
            27,
            19,
+           -999,
            1,
+           -999,
            28,
            24,
            39,
@@ -106320,17 +67985,23 @@
            21,
            19,
            45,
+           -999,
            52,
            48,
            48,
            33,
            22,
+           -999,
            25,
            21,
+           -999,
            24,
+           -999,
            37,
            18,
+           -999,
            36,
+           -999,
            30,
            7,
            45,
@@ -106338,21 +68009,28 @@
            33,
            22,
            39,
+           -999,
            62,
            53,
            19,
            36,
+           -999,
+           -999,
+           -999,
            49,
            35,
            36,
            27,
            22,
            40,
+           -999,
+           -999,
            26,
            27,
            26,
            51,
            32,
+           -999,
            23,
            18,
            23,
@@ -106369,26 +68047,31 @@
            18,
            26,
            42,
+           -999,
            48,
            29,
            52,
            27,
+           -999,
            33,
            34,
            29,
            23,
            23,
            28.5,
+           -999,
            24,
            31,
            28,
            33,
            16,
            51,
+           -999,
            24,
            43,
            13,
            17,
+           -999,
            25,
            18,
            46,
@@ -106399,11 +68082,14 @@
            31,
            35,
            30.5,
+           -999,
            0.83,
            16,
            34.5,
+           -999,
            9,
            18,
+           -999,
            4,
            33,
            20,
@@ -106430,165 +68116,208 @@
          },
          "mode": "markers",
          "text": [
-          "index=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>PassengerClass=1<br>Age=38.0<br>SHAP=4.05",
-          "index=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>PassengerClass=1<br>Age=35.0<br>SHAP=4.36",
-          "index=Palsson, Master. Gosta Leonard<br>PassengerClass=3<br>Age=2.0<br>SHAP=0.02",
-          "index=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>PassengerClass=3<br>Age=27.0<br>SHAP=0.56",
-          "index=Nasser, Mrs. Nicholas (Adele Achem)<br>PassengerClass=2<br>Age=14.0<br>SHAP=0.65",
-          "index=Saundercock, Mr. William Henry<br>PassengerClass=3<br>Age=20.0<br>SHAP=-0.09",
-          "index=Vestrom, Miss. Hulda Amanda Adolfina<br>PassengerClass=3<br>Age=14.0<br>SHAP=0.37",
-          "index=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>PassengerClass=3<br>Age=38.0<br>SHAP=-0.6",
-          "index=Meyer, Mr. Edgar Joseph<br>PassengerClass=1<br>Age=28.0<br>SHAP=-1.36",
-          "index=Devaney, Miss. Margaret Delia<br>PassengerClass=3<br>Age=19.0<br>SHAP=0.7",
-          "index=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>PassengerClass=3<br>Age=18.0<br>SHAP=0.25",
-          "index=Rugg, Miss. Emily<br>PassengerClass=2<br>Age=21.0<br>SHAP=0.78",
-          "index=Harris, Mr. Henry Birkhardt<br>PassengerClass=1<br>Age=45.0<br>SHAP=-0.46",
-          "index=Skoog, Master. Harald<br>PassengerClass=3<br>Age=4.0<br>SHAP=0.04",
-          "index=Kink, Mr. Vincenz<br>PassengerClass=3<br>Age=26.0<br>SHAP=0.24",
-          "index=Hood, Mr. Ambrose Jr<br>PassengerClass=2<br>Age=21.0<br>SHAP=-0.01",
-          "index=Ilett, Miss. Bertha<br>PassengerClass=2<br>Age=17.0<br>SHAP=1.13",
-          "index=Ford, Mr. William Neal<br>PassengerClass=3<br>Age=16.0<br>SHAP=0.08",
-          "index=Christmann, Mr. Emil<br>PassengerClass=3<br>Age=29.0<br>SHAP=0.13",
-          "index=Andreasson, Mr. Paul Edvin<br>PassengerClass=3<br>Age=20.0<br>SHAP=-0.09",
-          "index=Chaffee, Mr. Herbert Fuller<br>PassengerClass=1<br>Age=46.0<br>SHAP=-0.25",
-          "index=White, Mr. Richard Frasar<br>PassengerClass=1<br>Age=21.0<br>SHAP=1.51",
-          "index=Rekic, Mr. Tido<br>PassengerClass=3<br>Age=38.0<br>SHAP=-0.42",
-          "index=Barton, Mr. David John<br>PassengerClass=3<br>Age=22.0<br>SHAP=-0.09",
-          "index=Jussila, Miss. Katriina<br>PassengerClass=3<br>Age=20.0<br>SHAP=0.35",
-          "index=Pekoniemi, Mr. Edvard<br>PassengerClass=3<br>Age=21.0<br>SHAP=-0.09",
-          "index=Turpin, Mr. William John Robert<br>PassengerClass=2<br>Age=29.0<br>SHAP=0.42",
-          "index=Osen, Mr. Olaf Elon<br>PassengerClass=3<br>Age=16.0<br>SHAP=-0.21",
-          "index=Ford, Miss. Robina Maggie \"Ruby\"<br>PassengerClass=3<br>Age=9.0<br>SHAP=0.21",
-          "index=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>PassengerClass=2<br>Age=36.5<br>SHAP=-1.11",
-          "index=Bateman, Rev. Robert James<br>PassengerClass=2<br>Age=51.0<br>SHAP=0.42",
-          "index=Meo, Mr. Alfonzo<br>PassengerClass=3<br>Age=55.5<br>SHAP=0.19",
-          "index=Cribb, Mr. John Hatfield<br>PassengerClass=3<br>Age=44.0<br>SHAP=-0.03",
-          "index=Van der hoef, Mr. Wyckoff<br>PassengerClass=1<br>Age=61.0<br>SHAP=-1.62",
-          "index=Sivola, Mr. Antti Wilhelm<br>PassengerClass=3<br>Age=21.0<br>SHAP=-0.09",
-          "index=Klasen, Mr. Klas Albin<br>PassengerClass=3<br>Age=18.0<br>SHAP=-0.15",
-          "index=Andersen-Jensen, Miss. Carla Christine Nielsine<br>PassengerClass=3<br>Age=19.0<br>SHAP=0.43",
-          "index=Brown, Mrs. James Joseph (Margaret Tobin)<br>PassengerClass=1<br>Age=44.0<br>SHAP=2.91",
-          "index=Vande Walle, Mr. Nestor Cyriel<br>PassengerClass=3<br>Age=28.0<br>SHAP=0.15",
-          "index=Backstrom, Mr. Karl Alfred<br>PassengerClass=3<br>Age=32.0<br>SHAP=0.0",
-          "index=Blank, Mr. Henry<br>PassengerClass=1<br>Age=40.0<br>SHAP=2.1",
-          "index=Ali, Mr. Ahmed<br>PassengerClass=3<br>Age=24.0<br>SHAP=-0.11",
-          "index=Green, Mr. George Henry<br>PassengerClass=3<br>Age=51.0<br>SHAP=0.14",
-          "index=Asplund, Miss. Lillian Gertrud<br>PassengerClass=3<br>Age=5.0<br>SHAP=0.23",
-          "index=Hunt, Mr. George Henry<br>PassengerClass=2<br>Age=33.0<br>SHAP=-0.14",
-          "index=Stead, Mr. William Thomas<br>PassengerClass=1<br>Age=62.0<br>SHAP=-2.1",
-          "index=Parrish, Mrs. (Lutie Davis)<br>PassengerClass=2<br>Age=50.0<br>SHAP=-0.51",
-          "index=Asplund, Master. Edvin Rojj Felix<br>PassengerClass=3<br>Age=3.0<br>SHAP=0.09",
-          "index=Andrews, Miss. Kornelia Theodosia<br>PassengerClass=1<br>Age=63.0<br>SHAP=-1.36",
-          "index=Abbott, Mrs. Stanton (Rosa Hunt)<br>PassengerClass=3<br>Age=35.0<br>SHAP=-1.96",
-          "index=Connolly, Miss. Kate<br>PassengerClass=3<br>Age=22.0<br>SHAP=0.7",
-          "index=Bishop, Mrs. Dickinson H (Helen Walton)<br>PassengerClass=1<br>Age=19.0<br>SHAP=-1.55",
-          "index=Levy, Mr. Rene Jacques<br>PassengerClass=2<br>Age=36.0<br>SHAP=-3.47",
-          "index=Nysveen, Mr. Johan Hansen<br>PassengerClass=3<br>Age=61.0<br>SHAP=0.19",
-          "index=Burns, Miss. Elizabeth Margaret<br>PassengerClass=1<br>Age=41.0<br>SHAP=3.08",
-          "index=Dimic, Mr. Jovan<br>PassengerClass=3<br>Age=42.0<br>SHAP=-0.35",
-          "index=del Carlo, Mr. Sebastiano<br>PassengerClass=2<br>Age=29.0<br>SHAP=0.64",
-          "index=Beavan, Mr. William Thomas<br>PassengerClass=3<br>Age=19.0<br>SHAP=-0.09",
-          "index=Widener, Mr. Harry Elkins<br>PassengerClass=1<br>Age=27.0<br>SHAP=-0.13",
-          "index=Gustafsson, Mr. Karl Gideon<br>PassengerClass=3<br>Age=19.0<br>SHAP=-0.09",
-          "index=Goodwin, Master. Sidney Leonard<br>PassengerClass=3<br>Age=1.0<br>SHAP=-0.2",
-          "index=Gustafsson, Mr. Johan Birger<br>PassengerClass=3<br>Age=28.0<br>SHAP=0.19",
-          "index=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>PassengerClass=3<br>Age=24.0<br>SHAP=-0.08",
-          "index=Niskanen, Mr. Juha<br>PassengerClass=3<br>Age=39.0<br>SHAP=-0.31",
-          "index=Minahan, Miss. Daisy E<br>PassengerClass=1<br>Age=33.0<br>SHAP=0.81",
-          "index=Matthews, Mr. William John<br>PassengerClass=2<br>Age=30.0<br>SHAP=0.25",
-          "index=Charters, Mr. David<br>PassengerClass=3<br>Age=21.0<br>SHAP=-0.07",
-          "index=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>PassengerClass=2<br>Age=19.0<br>SHAP=0.78",
-          "index=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>PassengerClass=2<br>Age=45.0<br>SHAP=-0.33",
-          "index=Peuchen, Major. Arthur Godfrey<br>PassengerClass=1<br>Age=52.0<br>SHAP=-1.48",
-          "index=Anderson, Mr. Harry<br>PassengerClass=1<br>Age=48.0<br>SHAP=-0.78",
-          "index=Milling, Mr. Jacob Christian<br>PassengerClass=2<br>Age=48.0<br>SHAP=0.35",
-          "index=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>PassengerClass=2<br>Age=33.0<br>SHAP=-0.74",
-          "index=Karlsson, Mr. Nils August<br>PassengerClass=3<br>Age=22.0<br>SHAP=-0.09",
-          "index=Bishop, Mr. Dickinson H<br>PassengerClass=1<br>Age=25.0<br>SHAP=-1.83",
-          "index=Windelov, Mr. Einar<br>PassengerClass=3<br>Age=21.0<br>SHAP=-0.09",
-          "index=Svensson, Mr. Olof<br>PassengerClass=3<br>Age=24.0<br>SHAP=-0.11",
-          "index=Laitinen, Miss. Kristina Sofia<br>PassengerClass=3<br>Age=37.0<br>SHAP=-1.32",
-          "index=Penasco y Castellana, Mr. Victor de Satode<br>PassengerClass=1<br>Age=18.0<br>SHAP=-0.49",
-          "index=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>PassengerClass=2<br>Age=36.0<br>SHAP=-1.75",
-          "index=Cacic, Miss. Marija<br>PassengerClass=3<br>Age=30.0<br>SHAP=0.61",
-          "index=Hart, Miss. Eva Miriam<br>PassengerClass=2<br>Age=7.0<br>SHAP=0.63",
-          "index=Butt, Major. Archibald Willingham<br>PassengerClass=1<br>Age=45.0<br>SHAP=0.54",
-          "index=Beane, Mr. Edward<br>PassengerClass=2<br>Age=32.0<br>SHAP=0.18",
-          "index=Goldsmith, Mr. Frank John<br>PassengerClass=3<br>Age=33.0<br>SHAP=-0.66",
-          "index=Ohman, Miss. Velin<br>PassengerClass=3<br>Age=22.0<br>SHAP=0.65",
-          "index=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>PassengerClass=1<br>Age=39.0<br>SHAP=1.15",
-          "index=Harris, Mr. George<br>PassengerClass=2<br>Age=62.0<br>SHAP=0.18",
-          "index=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>PassengerClass=1<br>Age=53.0<br>SHAP=-1.51",
-          "index=Patchett, Mr. George<br>PassengerClass=3<br>Age=19.0<br>SHAP=-0.09",
-          "index=Ross, Mr. John Hugo<br>PassengerClass=1<br>Age=36.0<br>SHAP=11.56",
-          "index=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>PassengerClass=1<br>Age=49.0<br>SHAP=-1.41",
-          "index=Homer, Mr. Harry (\"Mr E Haven\")<br>PassengerClass=1<br>Age=35.0<br>SHAP=13.52",
-          "index=Lindell, Mr. Edvard Bengtsson<br>PassengerClass=3<br>Age=36.0<br>SHAP=-1.34",
-          "index=Daniel, Mr. Robert Williams<br>PassengerClass=1<br>Age=27.0<br>SHAP=-1.09",
-          "index=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>PassengerClass=2<br>Age=22.0<br>SHAP=0.89",
-          "index=Shutes, Miss. Elizabeth W<br>PassengerClass=1<br>Age=40.0<br>SHAP=1.68",
-          "index=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>PassengerClass=3<br>Age=26.0<br>SHAP=0.49",
-          "index=Yasbeck, Mr. Antoni<br>PassengerClass=3<br>Age=27.0<br>SHAP=0.45",
-          "index=Bostandyeff, Mr. Guentcho<br>PassengerClass=3<br>Age=26.0<br>SHAP=0.19",
-          "index=Lundahl, Mr. Johan Svensson<br>PassengerClass=3<br>Age=51.0<br>SHAP=0.14",
-          "index=Stahelin-Maeglin, Dr. Max<br>PassengerClass=1<br>Age=32.0<br>SHAP=0.3",
-          "index=Stanley, Miss. Amy Zillah Elsie<br>PassengerClass=3<br>Age=23.0<br>SHAP=0.64",
-          "index=Hegarty, Miss. Hanora \"Nora\"<br>PassengerClass=3<br>Age=18.0<br>SHAP=0.4",
-          "index=Eitemiller, Mr. George Floyd<br>PassengerClass=2<br>Age=23.0<br>SHAP=0.03",
-          "index=Colley, Mr. Edward Pomeroy<br>PassengerClass=1<br>Age=47.0<br>SHAP=-0.81",
-          "index=Coleff, Mr. Peju<br>PassengerClass=3<br>Age=36.0<br>SHAP=-1.33",
-          "index=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>PassengerClass=2<br>Age=40.0<br>SHAP=-0.66",
-          "index=Davidson, Mr. Thornton<br>PassengerClass=1<br>Age=31.0<br>SHAP=-0.16",
-          "index=Turja, Miss. Anna Sofia<br>PassengerClass=3<br>Age=18.0<br>SHAP=0.48",
-          "index=Hassab, Mr. Hammad<br>PassengerClass=1<br>Age=27.0<br>SHAP=-2.17",
-          "index=Goodwin, Mr. Charles Edward<br>PassengerClass=3<br>Age=14.0<br>SHAP=-0.17",
-          "index=Panula, Mr. Jaako Arnold<br>PassengerClass=3<br>Age=14.0<br>SHAP=0.06",
-          "index=Fischer, Mr. Eberhard Thelander<br>PassengerClass=3<br>Age=18.0<br>SHAP=-0.26",
-          "index=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>PassengerClass=3<br>Age=42.0<br>SHAP=-0.23",
-          "index=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>PassengerClass=1<br>Age=18.0<br>SHAP=-1.67",
-          "index=Hansen, Mr. Henrik Juul<br>PassengerClass=3<br>Age=26.0<br>SHAP=0.17",
-          "index=Calderhead, Mr. Edward Pennington<br>PassengerClass=1<br>Age=42.0<br>SHAP=0.58",
-          "index=Taylor, Mr. Elmer Zebley<br>PassengerClass=1<br>Age=48.0<br>SHAP=-0.97",
-          "index=Larsson, Mr. August Viktor<br>PassengerClass=3<br>Age=29.0<br>SHAP=0.13",
-          "index=Greenberg, Mr. Samuel<br>PassengerClass=2<br>Age=52.0<br>SHAP=0.42",
-          "index=Troutt, Miss. Edwina Celia \"Winnie\"<br>PassengerClass=2<br>Age=27.0<br>SHAP=0.32",
-          "index=Johnson, Mr. Malkolm Joackim<br>PassengerClass=3<br>Age=33.0<br>SHAP=-0.24",
-          "index=Gillespie, Mr. William Henry<br>PassengerClass=2<br>Age=34.0<br>SHAP=-1.05",
-          "index=Allen, Miss. Elisabeth Walton<br>PassengerClass=1<br>Age=29.0<br>SHAP=-1.43",
-          "index=Berriman, Mr. William John<br>PassengerClass=2<br>Age=23.0<br>SHAP=0.03",
-          "index=Troupiansky, Mr. Moses Aaron<br>PassengerClass=2<br>Age=23.0<br>SHAP=0.03",
-          "index=Williams, Mr. Leslie<br>PassengerClass=3<br>Age=28.5<br>SHAP=0.15",
-          "index=McNamee, Mr. Neal<br>PassengerClass=3<br>Age=24.0<br>SHAP=-0.09",
-          "index=Connaghton, Mr. Michael<br>PassengerClass=3<br>Age=31.0<br>SHAP=-0.18",
-          "index=Carlsson, Mr. August Sigfrid<br>PassengerClass=3<br>Age=28.0<br>SHAP=0.15",
-          "index=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>PassengerClass=1<br>Age=33.0<br>SHAP=0.66",
-          "index=Eklund, Mr. Hans Linus<br>PassengerClass=3<br>Age=16.0<br>SHAP=-0.21",
-          "index=Hogeboom, Mrs. John C (Anna Andrews)<br>PassengerClass=1<br>Age=51.0<br>SHAP=-1.11",
-          "index=Lievens, Mr. Rene Aime<br>PassengerClass=3<br>Age=24.0<br>SHAP=-0.11",
-          "index=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>PassengerClass=1<br>Age=43.0<br>SHAP=1.5",
-          "index=Ayoub, Miss. Banoura<br>PassengerClass=3<br>Age=13.0<br>SHAP=0.82",
-          "index=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>PassengerClass=1<br>Age=17.0<br>SHAP=-0.78",
-          "index=Ali, Mr. William<br>PassengerClass=3<br>Age=25.0<br>SHAP=-0.02",
-          "index=Sjoblom, Miss. Anna Sofia<br>PassengerClass=3<br>Age=18.0<br>SHAP=0.48",
-          "index=Guggenheim, Mr. Benjamin<br>PassengerClass=1<br>Age=46.0<br>SHAP=0.12",
-          "index=Leader, Dr. Alice (Farnham)<br>PassengerClass=1<br>Age=49.0<br>SHAP=-0.32",
-          "index=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>PassengerClass=2<br>Age=31.0<br>SHAP=0.33",
-          "index=Carter, Master. William Thornton II<br>PassengerClass=1<br>Age=11.0<br>SHAP=0.97",
-          "index=Thomas, Master. Assad Alexander<br>PassengerClass=3<br>Age=0.42<br>SHAP=-0.09",
-          "index=Johansson, Mr. Karl Johan<br>PassengerClass=3<br>Age=31.0<br>SHAP=0.03",
-          "index=Slemen, Mr. Richard James<br>PassengerClass=2<br>Age=35.0<br>SHAP=-1.27",
-          "index=Tomlin, Mr. Ernest Portage<br>PassengerClass=3<br>Age=30.5<br>SHAP=0.1",
-          "index=Richards, Master. George Sibley<br>PassengerClass=2<br>Age=0.83<br>SHAP=-0.04",
-          "index=Mudd, Mr. Thomas Charles<br>PassengerClass=2<br>Age=16.0<br>SHAP=0.35",
-          "index=Lemberopolous, Mr. Peter L<br>PassengerClass=3<br>Age=34.5<br>SHAP=-3.33",
-          "index=Boulos, Miss. Nourelain<br>PassengerClass=3<br>Age=9.0<br>SHAP=0.52",
-          "index=Aks, Mrs. Sam (Leah Rosen)<br>PassengerClass=3<br>Age=18.0<br>SHAP=0.49",
-          "index=Johnson, Master. Harold Theodor<br>PassengerClass=3<br>Age=4.0<br>SHAP=-0.05",
-          "index=Carlsson, Mr. Frans Olof<br>PassengerClass=1<br>Age=33.0<br>SHAP=1.13",
-          "index=Gustafsson, Mr. Alfred Ossian<br>PassengerClass=3<br>Age=20.0<br>SHAP=-0.09",
-          "index=Montvila, Rev. Juozas<br>PassengerClass=2<br>Age=27.0<br>SHAP=0.28"
-         ],
-         "type": "scatter",
+          "None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>PassengerClass=1<br>Age=38.0<br>SHAP=4.220",
+          "None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>PassengerClass=1<br>Age=35.0<br>SHAP=3.746",
+          "None=Palsson, Master. Gosta Leonard<br>PassengerClass=3<br>Age=2.0<br>SHAP=-0.928",
+          "None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>PassengerClass=3<br>Age=27.0<br>SHAP=-0.036",
+          "None=Nasser, Mrs. Nicholas (Adele Achem)<br>PassengerClass=2<br>Age=14.0<br>SHAP=0.755",
+          "None=Saundercock, Mr. William Henry<br>PassengerClass=3<br>Age=20.0<br>SHAP=-0.292",
+          "None=Vestrom, Miss. Hulda Amanda Adolfina<br>PassengerClass=3<br>Age=14.0<br>SHAP=-0.112",
+          "None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>PassengerClass=3<br>Age=38.0<br>SHAP=-0.504",
+          "None=Glynn, Miss. Mary Agatha<br>PassengerClass=3<br>Age=-999.0<br>SHAP=0.501",
+          "None=Meyer, Mr. Edgar Joseph<br>PassengerClass=1<br>Age=28.0<br>SHAP=-1.450",
+          "None=Kraeff, Mr. Theodor<br>PassengerClass=3<br>Age=-999.0<br>SHAP=0.077",
+          "None=Devaney, Miss. Margaret Delia<br>PassengerClass=3<br>Age=19.0<br>SHAP=0.463",
+          "None=Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>PassengerClass=3<br>Age=18.0<br>SHAP=0.113",
+          "None=Rugg, Miss. Emily<br>PassengerClass=2<br>Age=21.0<br>SHAP=0.221",
+          "None=Harris, Mr. Henry Birkhardt<br>PassengerClass=1<br>Age=45.0<br>SHAP=-0.712",
+          "None=Skoog, Master. Harald<br>PassengerClass=3<br>Age=4.0<br>SHAP=-0.747",
+          "None=Kink, Mr. Vincenz<br>PassengerClass=3<br>Age=26.0<br>SHAP=-0.085",
+          "None=Hood, Mr. Ambrose Jr<br>PassengerClass=2<br>Age=21.0<br>SHAP=-0.246",
+          "None=Ilett, Miss. Bertha<br>PassengerClass=2<br>Age=17.0<br>SHAP=0.763",
+          "None=Ford, Mr. William Neal<br>PassengerClass=3<br>Age=16.0<br>SHAP=-0.482",
+          "None=Christmann, Mr. Emil<br>PassengerClass=3<br>Age=29.0<br>SHAP=0.064",
+          "None=Andreasson, Mr. Paul Edvin<br>PassengerClass=3<br>Age=20.0<br>SHAP=-0.292",
+          "None=Chaffee, Mr. Herbert Fuller<br>PassengerClass=1<br>Age=46.0<br>SHAP=-0.404",
+          "None=Petroff, Mr. Pastcho (\"Pentcho\")<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.142",
+          "None=White, Mr. Richard Frasar<br>PassengerClass=1<br>Age=21.0<br>SHAP=1.664",
+          "None=Rekic, Mr. Tido<br>PassengerClass=3<br>Age=38.0<br>SHAP=-0.485",
+          "None=Moran, Miss. Bertha<br>PassengerClass=3<br>Age=-999.0<br>SHAP=0.572",
+          "None=Barton, Mr. David John<br>PassengerClass=3<br>Age=22.0<br>SHAP=-0.282",
+          "None=Jussila, Miss. Katriina<br>PassengerClass=3<br>Age=20.0<br>SHAP=0.162",
+          "None=Pekoniemi, Mr. Edvard<br>PassengerClass=3<br>Age=21.0<br>SHAP=-0.280",
+          "None=Turpin, Mr. William John Robert<br>PassengerClass=2<br>Age=29.0<br>SHAP=0.203",
+          "None=Moore, Mr. Leonard Charles<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.142",
+          "None=Osen, Mr. Olaf Elon<br>PassengerClass=3<br>Age=16.0<br>SHAP=-0.434",
+          "None=Ford, Miss. Robina Maggie \"Ruby\"<br>PassengerClass=3<br>Age=9.0<br>SHAP=-0.576",
+          "None=Navratil, Mr. Michel (\"Louis M Hoffman\")<br>PassengerClass=2<br>Age=36.5<br>SHAP=-1.018",
+          "None=Bateman, Rev. Robert James<br>PassengerClass=2<br>Age=51.0<br>SHAP=0.362",
+          "None=Meo, Mr. Alfonzo<br>PassengerClass=3<br>Age=55.5<br>SHAP=0.334",
+          "None=Cribb, Mr. John Hatfield<br>PassengerClass=3<br>Age=44.0<br>SHAP=0.286",
+          "None=Chibnall, Mrs. (Edith Martha Bowerman)<br>PassengerClass=1<br>Age=-999.0<br>SHAP=2.185",
+          "None=Van der hoef, Mr. Wyckoff<br>PassengerClass=1<br>Age=61.0<br>SHAP=-1.884",
+          "None=Sivola, Mr. Antti Wilhelm<br>PassengerClass=3<br>Age=21.0<br>SHAP=-0.280",
+          "None=Klasen, Mr. Klas Albin<br>PassengerClass=3<br>Age=18.0<br>SHAP=-0.637",
+          "None=Rood, Mr. Hugh Roscoe<br>PassengerClass=1<br>Age=-999.0<br>SHAP=1.141",
+          "None=Andersen-Jensen, Miss. Carla Christine Nielsine<br>PassengerClass=3<br>Age=19.0<br>SHAP=0.223",
+          "None=Brown, Mrs. James Joseph (Margaret Tobin)<br>PassengerClass=1<br>Age=44.0<br>SHAP=2.851",
+          "None=Vande Walle, Mr. Nestor Cyriel<br>PassengerClass=3<br>Age=28.0<br>SHAP=0.151",
+          "None=Backstrom, Mr. Karl Alfred<br>PassengerClass=3<br>Age=32.0<br>SHAP=0.077",
+          "None=Blank, Mr. Henry<br>PassengerClass=1<br>Age=40.0<br>SHAP=1.951",
+          "None=Ali, Mr. Ahmed<br>PassengerClass=3<br>Age=24.0<br>SHAP=-0.262",
+          "None=Green, Mr. George Henry<br>PassengerClass=3<br>Age=51.0<br>SHAP=0.265",
+          "None=Nenkoff, Mr. Christo<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.142",
+          "None=Asplund, Miss. Lillian Gertrud<br>PassengerClass=3<br>Age=5.0<br>SHAP=-0.499",
+          "None=Harknett, Miss. Alice Phoebe<br>PassengerClass=3<br>Age=-999.0<br>SHAP=0.155",
+          "None=Hunt, Mr. George Henry<br>PassengerClass=2<br>Age=33.0<br>SHAP=-0.415",
+          "None=Reed, Mr. James George<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.142",
+          "None=Stead, Mr. William Thomas<br>PassengerClass=1<br>Age=62.0<br>SHAP=-1.949",
+          "None=Thorne, Mrs. Gertrude Maybelle<br>PassengerClass=1<br>Age=-999.0<br>SHAP=-1.916",
+          "None=Parrish, Mrs. (Lutie Davis)<br>PassengerClass=2<br>Age=50.0<br>SHAP=0.663",
+          "None=Smith, Mr. Thomas<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.030",
+          "None=Asplund, Master. Edvin Rojj Felix<br>PassengerClass=3<br>Age=3.0<br>SHAP=-0.599",
+          "None=Healy, Miss. Hanora \"Nora\"<br>PassengerClass=3<br>Age=-999.0<br>SHAP=0.501",
+          "None=Andrews, Miss. Kornelia Theodosia<br>PassengerClass=1<br>Age=63.0<br>SHAP=-1.640",
+          "None=Abbott, Mrs. Stanton (Rosa Hunt)<br>PassengerClass=3<br>Age=35.0<br>SHAP=-1.198",
+          "None=Smith, Mr. Richard William<br>PassengerClass=1<br>Age=-999.0<br>SHAP=1.141",
+          "None=Connolly, Miss. Kate<br>PassengerClass=3<br>Age=22.0<br>SHAP=0.475",
+          "None=Bishop, Mrs. Dickinson H (Helen Walton)<br>PassengerClass=1<br>Age=19.0<br>SHAP=-1.897",
+          "None=Levy, Mr. Rene Jacques<br>PassengerClass=2<br>Age=36.0<br>SHAP=-2.376",
+          "None=Lewy, Mr. Ervin G<br>PassengerClass=1<br>Age=-999.0<br>SHAP=0.248",
+          "None=Williams, Mr. Howard Hugh \"Harry\"<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.142",
+          "None=Sage, Mr. George John Jr<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.503",
+          "None=Nysveen, Mr. Johan Hansen<br>PassengerClass=3<br>Age=61.0<br>SHAP=0.322",
+          "None=Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>PassengerClass=1<br>Age=-999.0<br>SHAP=-0.271",
+          "None=Denkoff, Mr. Mitto<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.142",
+          "None=Burns, Miss. Elizabeth Margaret<br>PassengerClass=1<br>Age=41.0<br>SHAP=2.138",
+          "None=Dimic, Mr. Jovan<br>PassengerClass=3<br>Age=42.0<br>SHAP=-0.124",
+          "None=del Carlo, Mr. Sebastiano<br>PassengerClass=2<br>Age=29.0<br>SHAP=0.487",
+          "None=Beavan, Mr. William Thomas<br>PassengerClass=3<br>Age=19.0<br>SHAP=-0.292",
+          "None=Meyer, Mrs. Edgar Joseph (Leila Saks)<br>PassengerClass=1<br>Age=-999.0<br>SHAP=-1.902",
+          "None=Widener, Mr. Harry Elkins<br>PassengerClass=1<br>Age=27.0<br>SHAP=1.453",
+          "None=Gustafsson, Mr. Karl Gideon<br>PassengerClass=3<br>Age=19.0<br>SHAP=-0.292",
+          "None=Plotcharsky, Mr. Vasil<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.142",
+          "None=Goodwin, Master. Sidney Leonard<br>PassengerClass=3<br>Age=1.0<br>SHAP=-0.995",
+          "None=Sadlier, Mr. Matthew<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.030",
+          "None=Gustafsson, Mr. Johan Birger<br>PassengerClass=3<br>Age=28.0<br>SHAP=-0.002",
+          "None=Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>PassengerClass=3<br>Age=24.0<br>SHAP=-0.095",
+          "None=Niskanen, Mr. Juha<br>PassengerClass=3<br>Age=39.0<br>SHAP=-0.430",
+          "None=Minahan, Miss. Daisy E<br>PassengerClass=1<br>Age=33.0<br>SHAP=2.198",
+          "None=Matthews, Mr. William John<br>PassengerClass=2<br>Age=30.0<br>SHAP=0.036",
+          "None=Charters, Mr. David<br>PassengerClass=3<br>Age=21.0<br>SHAP=-0.128",
+          "None=Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>PassengerClass=2<br>Age=19.0<br>SHAP=0.215",
+          "None=Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>PassengerClass=2<br>Age=45.0<br>SHAP=-0.027",
+          "None=Johannesen-Bratthammer, Mr. Bernt<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.080",
+          "None=Peuchen, Major. Arthur Godfrey<br>PassengerClass=1<br>Age=52.0<br>SHAP=-1.967",
+          "None=Anderson, Mr. Harry<br>PassengerClass=1<br>Age=48.0<br>SHAP=-1.195",
+          "None=Milling, Mr. Jacob Christian<br>PassengerClass=2<br>Age=48.0<br>SHAP=0.301",
+          "None=West, Mrs. Edwy Arthur (Ada Mary Worth)<br>PassengerClass=2<br>Age=33.0<br>SHAP=-0.531",
+          "None=Karlsson, Mr. Nils August<br>PassengerClass=3<br>Age=22.0<br>SHAP=-0.282",
+          "None=Frost, Mr. Anthony Wood \"Archie\"<br>PassengerClass=2<br>Age=-999.0<br>SHAP=-0.654",
+          "None=Bishop, Mr. Dickinson H<br>PassengerClass=1<br>Age=25.0<br>SHAP=-1.164",
+          "None=Windelov, Mr. Einar<br>PassengerClass=3<br>Age=21.0<br>SHAP=-0.280",
+          "None=Shellard, Mr. Frederick William<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.142",
+          "None=Svensson, Mr. Olof<br>PassengerClass=3<br>Age=24.0<br>SHAP=-0.262",
+          "None=O'Sullivan, Miss. Bridget Mary<br>PassengerClass=3<br>Age=-999.0<br>SHAP=0.354",
+          "None=Laitinen, Miss. Kristina Sofia<br>PassengerClass=3<br>Age=37.0<br>SHAP=-1.228",
+          "None=Penasco y Castellana, Mr. Victor de Satode<br>PassengerClass=1<br>Age=18.0<br>SHAP=0.610",
+          "None=Bradley, Mr. George (\"George Arthur Brayton\")<br>PassengerClass=1<br>Age=-999.0<br>SHAP=0.741",
+          "None=Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>PassengerClass=2<br>Age=36.0<br>SHAP=-1.281",
+          "None=Kassem, Mr. Fared<br>PassengerClass=3<br>Age=-999.0<br>SHAP=0.077",
+          "None=Cacic, Miss. Marija<br>PassengerClass=3<br>Age=30.0<br>SHAP=0.245",
+          "None=Hart, Miss. Eva Miriam<br>PassengerClass=2<br>Age=7.0<br>SHAP=-0.205",
+          "None=Butt, Major. Archibald Willingham<br>PassengerClass=1<br>Age=45.0<br>SHAP=0.020",
+          "None=Beane, Mr. Edward<br>PassengerClass=2<br>Age=32.0<br>SHAP=0.172",
+          "None=Goldsmith, Mr. Frank John<br>PassengerClass=3<br>Age=33.0<br>SHAP=-0.517",
+          "None=Ohman, Miss. Velin<br>PassengerClass=3<br>Age=22.0<br>SHAP=0.178",
+          "None=Taussig, Mrs. Emil (Tillie Mandelbaum)<br>PassengerClass=1<br>Age=39.0<br>SHAP=0.820",
+          "None=Morrow, Mr. Thomas Rowan<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.030",
+          "None=Harris, Mr. George<br>PassengerClass=2<br>Age=62.0<br>SHAP=0.298",
+          "None=Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>PassengerClass=1<br>Age=53.0<br>SHAP=-4.199",
+          "None=Patchett, Mr. George<br>PassengerClass=3<br>Age=19.0<br>SHAP=-0.292",
+          "None=Ross, Mr. John Hugo<br>PassengerClass=1<br>Age=36.0<br>SHAP=7.784",
+          "None=Murdlin, Mr. Joseph<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.142",
+          "None=Bourke, Miss. Mary<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.156",
+          "None=Boulos, Mr. Hanna<br>PassengerClass=3<br>Age=-999.0<br>SHAP=0.077",
+          "None=Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>PassengerClass=1<br>Age=49.0<br>SHAP=-1.304",
+          "None=Homer, Mr. Harry (\"Mr E Haven\")<br>PassengerClass=1<br>Age=35.0<br>SHAP=12.528",
+          "None=Lindell, Mr. Edvard Bengtsson<br>PassengerClass=3<br>Age=36.0<br>SHAP=-0.821",
+          "None=Daniel, Mr. Robert Williams<br>PassengerClass=1<br>Age=27.0<br>SHAP=-0.383",
+          "None=Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>PassengerClass=2<br>Age=22.0<br>SHAP=0.229",
+          "None=Shutes, Miss. Elizabeth W<br>PassengerClass=1<br>Age=40.0<br>SHAP=0.525",
+          "None=Jardin, Mr. Jose Neto<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.142",
+          "None=Horgan, Mr. John<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.030",
+          "None=Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>PassengerClass=3<br>Age=26.0<br>SHAP=0.302",
+          "None=Yasbeck, Mr. Antoni<br>PassengerClass=3<br>Age=27.0<br>SHAP=0.380",
+          "None=Bostandyeff, Mr. Guentcho<br>PassengerClass=3<br>Age=26.0<br>SHAP=0.042",
+          "None=Lundahl, Mr. Johan Svensson<br>PassengerClass=3<br>Age=51.0<br>SHAP=0.265",
+          "None=Stahelin-Maeglin, Dr. Max<br>PassengerClass=1<br>Age=32.0<br>SHAP=1.775",
+          "None=Willey, Mr. Edward<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.142",
+          "None=Stanley, Miss. Amy Zillah Elsie<br>PassengerClass=3<br>Age=23.0<br>SHAP=0.173",
+          "None=Hegarty, Miss. Hanora \"Nora\"<br>PassengerClass=3<br>Age=18.0<br>SHAP=0.201",
+          "None=Eitemiller, Mr. George Floyd<br>PassengerClass=2<br>Age=23.0<br>SHAP=-0.233",
+          "None=Colley, Mr. Edward Pomeroy<br>PassengerClass=1<br>Age=47.0<br>SHAP=-1.138",
+          "None=Coleff, Mr. Peju<br>PassengerClass=3<br>Age=36.0<br>SHAP=-0.876",
+          "None=Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>PassengerClass=2<br>Age=40.0<br>SHAP=-0.316",
+          "None=Davidson, Mr. Thornton<br>PassengerClass=1<br>Age=31.0<br>SHAP=0.531",
+          "None=Turja, Miss. Anna Sofia<br>PassengerClass=3<br>Age=18.0<br>SHAP=0.061",
+          "None=Hassab, Mr. Hammad<br>PassengerClass=1<br>Age=27.0<br>SHAP=-1.728",
+          "None=Goodwin, Mr. Charles Edward<br>PassengerClass=3<br>Age=14.0<br>SHAP=-1.047",
+          "None=Panula, Mr. Jaako Arnold<br>PassengerClass=3<br>Age=14.0<br>SHAP=-1.020",
+          "None=Fischer, Mr. Eberhard Thelander<br>PassengerClass=3<br>Age=18.0<br>SHAP=-0.404",
+          "None=Humblen, Mr. Adolf Mathias Nicolai Olsen<br>PassengerClass=3<br>Age=42.0<br>SHAP=0.008",
+          "None=Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>PassengerClass=1<br>Age=18.0<br>SHAP=-1.139",
+          "None=Hansen, Mr. Henrik Juul<br>PassengerClass=3<br>Age=26.0<br>SHAP=0.085",
+          "None=Calderhead, Mr. Edward Pennington<br>PassengerClass=1<br>Age=42.0<br>SHAP=-0.120",
+          "None=Klaber, Mr. Herman<br>PassengerClass=1<br>Age=-999.0<br>SHAP=2.031",
+          "None=Taylor, Mr. Elmer Zebley<br>PassengerClass=1<br>Age=48.0<br>SHAP=-1.636",
+          "None=Larsson, Mr. August Viktor<br>PassengerClass=3<br>Age=29.0<br>SHAP=0.064",
+          "None=Greenberg, Mr. Samuel<br>PassengerClass=2<br>Age=52.0<br>SHAP=0.405",
+          "None=Troutt, Miss. Edwina Celia \"Winnie\"<br>PassengerClass=2<br>Age=27.0<br>SHAP=0.037",
+          "None=McEvoy, Mr. Michael<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.030",
+          "None=Johnson, Mr. Malkolm Joackim<br>PassengerClass=3<br>Age=33.0<br>SHAP=-0.406",
+          "None=Gillespie, Mr. William Henry<br>PassengerClass=2<br>Age=34.0<br>SHAP=-1.090",
+          "None=Allen, Miss. Elisabeth Walton<br>PassengerClass=1<br>Age=29.0<br>SHAP=-0.632",
+          "None=Berriman, Mr. William John<br>PassengerClass=2<br>Age=23.0<br>SHAP=-0.233",
+          "None=Troupiansky, Mr. Moses Aaron<br>PassengerClass=2<br>Age=23.0<br>SHAP=-0.233",
+          "None=Williams, Mr. Leslie<br>PassengerClass=3<br>Age=28.5<br>SHAP=0.151",
+          "None=Ivanoff, Mr. Kanio<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.142",
+          "None=McNamee, Mr. Neal<br>PassengerClass=3<br>Age=24.0<br>SHAP=-0.187",
+          "None=Connaghton, Mr. Michael<br>PassengerClass=3<br>Age=31.0<br>SHAP=0.147",
+          "None=Carlsson, Mr. August Sigfrid<br>PassengerClass=3<br>Age=28.0<br>SHAP=0.151",
+          "None=Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>PassengerClass=1<br>Age=33.0<br>SHAP=1.160",
+          "None=Eklund, Mr. Hans Linus<br>PassengerClass=3<br>Age=16.0<br>SHAP=-0.434",
+          "None=Hogeboom, Mrs. John C (Anna Andrews)<br>PassengerClass=1<br>Age=51.0<br>SHAP=-1.700",
+          "None=Moran, Mr. Daniel J<br>PassengerClass=3<br>Age=-999.0<br>SHAP=0.094",
+          "None=Lievens, Mr. Rene Aime<br>PassengerClass=3<br>Age=24.0<br>SHAP=-0.262",
+          "None=Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>PassengerClass=1<br>Age=43.0<br>SHAP=-0.798",
+          "None=Ayoub, Miss. Banoura<br>PassengerClass=3<br>Age=13.0<br>SHAP=0.527",
+          "None=Dick, Mrs. Albert Adrian (Vera Gillespie)<br>PassengerClass=1<br>Age=17.0<br>SHAP=-0.377",
+          "None=Johnston, Mr. Andrew G<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.664",
+          "None=Ali, Mr. William<br>PassengerClass=3<br>Age=25.0<br>SHAP=-0.118",
+          "None=Sjoblom, Miss. Anna Sofia<br>PassengerClass=3<br>Age=18.0<br>SHAP=0.061",
+          "None=Guggenheim, Mr. Benjamin<br>PassengerClass=1<br>Age=46.0<br>SHAP=1.928",
+          "None=Leader, Dr. Alice (Farnham)<br>PassengerClass=1<br>Age=49.0<br>SHAP=-1.576",
+          "None=Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>PassengerClass=2<br>Age=31.0<br>SHAP=-0.057",
+          "None=Carter, Master. William Thornton II<br>PassengerClass=1<br>Age=11.0<br>SHAP=3.853",
+          "None=Thomas, Master. Assad Alexander<br>PassengerClass=3<br>Age=0.42<br>SHAP=-0.343",
+          "None=Johansson, Mr. Karl Johan<br>PassengerClass=3<br>Age=31.0<br>SHAP=0.013",
+          "None=Slemen, Mr. Richard James<br>PassengerClass=2<br>Age=35.0<br>SHAP=-1.059",
+          "None=Tomlin, Mr. Ernest Portage<br>PassengerClass=3<br>Age=30.5<br>SHAP=0.002",
+          "None=McCormack, Mr. Thomas Joseph<br>PassengerClass=3<br>Age=-999.0<br>SHAP=0.122",
+          "None=Richards, Master. George Sibley<br>PassengerClass=2<br>Age=0.83<br>SHAP=-0.762",
+          "None=Mudd, Mr. Thomas Charles<br>PassengerClass=2<br>Age=16.0<br>SHAP=0.263",
+          "None=Lemberopolous, Mr. Peter L<br>PassengerClass=3<br>Age=34.5<br>SHAP=-3.583",
+          "None=Sage, Mr. Douglas Bullen<br>PassengerClass=3<br>Age=-999.0<br>SHAP=-0.503",
+          "None=Boulos, Miss. Nourelain<br>PassengerClass=3<br>Age=9.0<br>SHAP=-0.102",
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+       "<div>                            <div id=\"d1d0b350-e306-43f7-b79a-8b5b3dcb6794\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"d1d0b350-e306-43f7-b79a-8b5b3dcb6794\")) {                    Plotly.newPlot(                        \"d1d0b350-e306-43f7-b79a-8b5b3dcb6794\",                        [{\"hoverinfo\": \"text\", \"marker\": {\"color\": [38.0, 35.0, 2.0, 27.0, 14.0, 20.0, 14.0, 38.0, -999.0, 28.0, -999.0, 19.0, 18.0, 21.0, 45.0, 4.0, 26.0, 21.0, 17.0, 16.0, 29.0, 20.0, 46.0, -999.0, 21.0, 38.0, -999.0, 22.0, 20.0, 21.0, 29.0, -999.0, 16.0, 9.0, 36.5, 51.0, 55.5, 44.0, -999.0, 61.0, 21.0, 18.0, -999.0, 19.0, 44.0, 28.0, 32.0, 40.0, 24.0, 51.0, -999.0, 5.0, -999.0, 33.0, -999.0, 62.0, -999.0, 50.0, -999.0, 3.0, -999.0, 63.0, 35.0, -999.0, 22.0, 19.0, 36.0, -999.0, -999.0, -999.0, 61.0, -999.0, -999.0, 41.0, 42.0, 29.0, 19.0, -999.0, 27.0, 19.0, -999.0, 1.0, -999.0, 28.0, 24.0, 39.0, 33.0, 30.0, 21.0, 19.0, 45.0, -999.0, 52.0, 48.0, 48.0, 33.0, 22.0, -999.0, 25.0, 21.0, -999.0, 24.0, -999.0, 37.0, 18.0, -999.0, 36.0, -999.0, 30.0, 7.0, 45.0, 32.0, 33.0, 22.0, 39.0, -999.0, 62.0, 53.0, 19.0, 36.0, -999.0, -999.0, -999.0, 49.0, 35.0, 36.0, 27.0, 22.0, 40.0, -999.0, -999.0, 26.0, 27.0, 26.0, 51.0, 32.0, -999.0, 23.0, 18.0, 23.0, 47.0, 36.0, 40.0, 31.0, 18.0, 27.0, 14.0, 14.0, 18.0, 42.0, 18.0, 26.0, 42.0, -999.0, 48.0, 29.0, 52.0, 27.0, -999.0, 33.0, 34.0, 29.0, 23.0, 23.0, 28.5, -999.0, 24.0, 31.0, 28.0, 33.0, 16.0, 51.0, -999.0, 24.0, 43.0, 13.0, 17.0, -999.0, 25.0, 18.0, 46.0, 49.0, 31.0, 11.0, 0.42, 31.0, 35.0, 30.5, -999.0, 0.83, 16.0, 34.5, -999.0, 9.0, 18.0, -999.0, 4.0, 33.0, 20.0, 27.0], \"colorbar\": {\"title\": {\"text\": \"Age\"}}, \"colorscale\": [[0.0, \"rgb(0,0,255)\"], [1.0, \"rgb(255,0,0)\"]], \"opacity\": 0.6, \"showscale\": true, \"size\": 7}, \"mode\": \"markers\", \"text\": [\"None=Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>PassengerClass=1<br>Age=38.0<br>SHAP=4.220\", \"None=Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>PassengerClass=1<br>Age=35.0<br>SHAP=3.746\", \"None=Palsson, Master. Gosta Leonard<br>PassengerClass=3<br>Age=2.0<br>SHAP=-0.928\", \"None=Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>PassengerClass=3<br>Age=27.0<br>SHAP=-0.036\", \"None=Nasser, Mrs. Nicholas (Adele Achem)<br>PassengerClass=2<br>Age=14.0<br>SHAP=0.755\", \"None=Saundercock, Mr. William Henry<br>PassengerClass=3<br>Age=20.0<br>SHAP=-0.292\", \"None=Vestrom, Miss. Hulda Amanda Adolfina<br>PassengerClass=3<br>Age=14.0<br>SHAP=-0.112\", \"None=Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>PassengerClass=3<br>Age=38.0<br>SHAP=-0.504\", \"None=Glynn, Miss. Mary Agatha<br>PassengerClass=3<br>Age=-999.0<br>SHAP=0.501\", \"None=Meyer, Mr. Edgar Joseph<br>PassengerClass=1<br>Age=28.0<br>SHAP=-1.450\", \"None=Kraeff, Mr. Theodor<br>PassengerClass=3<br>Age=-999.0<br>SHAP=0.077\", \"None=Devaney, Miss. 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{\"color\": \"LightSkyBlue\", \"line\": {\"color\": \"MediumPurple\", \"width\": 4}, \"opacity\": 0.5, \"size\": 25}, \"mode\": \"markers\", \"name\": \"None Saundercock, Mr. William Henry\", \"showlegend\": false, \"text\": \"None Saundercock, Mr. William Henry\", \"type\": \"scattergl\", \"x\": [3], \"y\": [-0.29249016003457096]}],                        {\"hovermode\": \"closest\", \"paper_bgcolor\": \"#fff\", \"plot_bgcolor\": \"#fff\", \"showlegend\": false, \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Interaction plot for PassengerClass and Age\"}, \"xaxis\": {\"title\": {\"text\": \"PassengerClass\"}}, \"yaxis\": {\"title\": {\"text\": \"SHAP value ($)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('1d8a9cda-b840-409e-bd09-55be9e09dfd3');\n",
+       "var gd = document.getElementById('d1d0b350-e306-43f7-b79a-8b5b3dcb6794');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -107116,7 +68809,7 @@
     }
    ],
    "source": [
-    "explainer.plot_interaction(\"Age\", \"PassengerClass\")"
+    "explainer.plot_interaction(\"PassengerClass\", \"Age\", highlight_index=5)"
    ]
   },
   {
@@ -107135,11 +68828,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 67,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:47:32.381239Z",
-     "start_time": "2020-10-12T08:47:32.276862Z"
+     "end_time": "2021-01-20T16:03:37.171033Z",
+     "start_time": "2021-01-20T16:03:37.025081Z"
     }
    },
    "outputs": [
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-     "start_time": "2020-10-12T08:47:34.326362Z"
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-      "Calculating predictions...\n"
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+       "<div>                            <div id=\"ac881f21-1750-4d01-8635-623ba4f029c9\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"ac881f21-1750-4d01-8635-623ba4f029c9\")) {                    Plotly.newPlot(                        \"ac881f21-1750-4d01-8635-623ba4f029c9\",                        [{\"line\": {\"color\": \"grey\", \"width\": 4}, \"mode\": \"lines+markers\", \"name\": \"average prediction <br>for different values of <br>PassengerClass\", \"type\": \"scatter\", \"x\": [1.0, 2.0, 2.285714285714292, 3.0], \"y\": [77.3, 19.93, 19.93, 13.62]}, {\"line\": {\"color\": \"blue\", \"width\": 4}, \"mode\": \"lines+markers\", \"name\": \"prediction for index 0 <br>for different values of <br>PassengerClass\", \"type\": \"scatter\", \"x\": [1.0, 2.0, 2.285714285714292, 3.0], \"y\": [41.03, 14.14, 14.14, 9.01]}, {\"hoverinfo\": \"skip\", \"line\": {\"color\": \"grey\"}, \"mode\": \"lines\", \"opacity\": 0.1, \"showlegend\": false, \"type\": \"scatter\", \"x\": [1.0, 2.0, 2.285714285714292, 3.0], \"y\": [61.93896007445813, 26.048119572480893, 26.048119572480893, 15.682608835280078]}, {\"hoverinfo\": \"skip\", \"line\": {\"color\": \"grey\"}, \"mode\": \"lines\", \"opacity\": 0.1, \"showlegend\": false, \"type\": \"scatter\", \"x\": [1.0, 2.0, 2.285714285714292, 3.0], \"y\": [36.55473081530463, 14.144990184656542, 14.144990184656542, 9.155853423179506]}, {\"hoverinfo\": \"skip\", \"line\": {\"color\": \"grey\"}, \"mode\": \"lines\", \"opacity\": 0.1, \"showlegend\": false, \"type\": \"scatter\", \"x\": [1.0, 2.0, 2.285714285714292, 3.0], \"y\": [132.8728455472107, 14.812924974626753, 14.812924974626753, 12.380769875380595]}, {\"hoverinfo\": \"skip\", \"line\": {\"color\": \"grey\"}, \"mode\": \"lines\", \"opacity\": 0.1, \"showlegend\": false, \"type\": \"scatter\", \"x\": [1.0, 2.0, 2.285714285714292, 3.0], \"y\": [87.97659052196899, 13.317959822316864, 13.317959822316864, 9.435221050433485]}, {\"hoverinfo\": \"skip\", \"line\": {\"color\": \"grey\"}, \"mode\": \"lines\", \"opacity\": 0.1, \"showlegend\": false, \"type\": \"scatter\", \"x\": [1.0, 2.0, 2.285714285714292, 3.0], \"y\": [39.90341762917515, 13.261611919351903, 13.261611919351903, 9.435221050433485]}, {\"hoverinfo\": \"skip\", \"line\": {\"color\": \"grey\"}, \"mode\": \"lines\", \"opacity\": 0.1, \"showlegend\": false, \"type\": \"scatter\", \"x\": [1.0, 2.0, 2.285714285714292, 3.0], \"y\": [76.416251567937, 14.599847280977222, 14.599847280977222, 12.498708784148185]}, {\"hoverinfo\": \"skip\", \"line\": {\"color\": \"grey\"}, \"mode\": \"lines\", \"opacity\": 0.1, \"showlegend\": false, \"type\": \"scatter\", \"x\": [1.0, 2.0, 2.285714285714292, 3.0], \"y\": [92.62873797446974, 15.7568150188767, 15.7568150188767, 9.006814770944379]}, {\"hoverinfo\": \"skip\", \"line\": {\"color\": \"grey\"}, \"mode\": \"lines\", \"opacity\": 0.1, \"showlegend\": false, \"type\": \"scatter\", \"x\": [1.0, 2.0, 2.285714285714292, 3.0], \"y\": [36.246959293569134, 14.20143302151831, 14.20143302151831, 9.067622778208255]}, {\"hoverinfo\": \"skip\", \"line\": {\"color\": \"grey\"}, \"mode\": \"lines\", \"opacity\": 0.1, \"showlegend\": false, \"type\": \"scatter\", \"x\": [1.0, 2.0, 2.285714285714292, 3.0], \"y\": [92.8444759258074, 15.757191601242294, 15.757191601242294, 11.604632043999851]}, {\"hoverinfo\": \"skip\", \"line\": {\"color\": \"grey\"}, \"mode\": \"lines\", \"opacity\": 0.1, \"showlegend\": false, \"type\": \"scatter\", \"x\": [1.0, 2.0, 2.285714285714292, 3.0], \"y\": [119.18882051236817, 30.15910682860588, 30.15910682860588, 22.468588899410314]}],                        {\"annotations\": [{\"text\": \"baseline value = 2\", \"x\": 2, \"y\": 9.006814770944379}, {\"text\": \"baseline pred = 14.14\", \"x\": 2.285714285714292, \"y\": 14.144990184656542}], \"plot_bgcolor\": \"#fff\", \"shapes\": [{\"line\": {\"color\": \"MediumPurple\", \"dash\": \"dot\", \"width\": 4}, \"type\": \"line\", \"x0\": 2, \"x1\": 2, \"xref\": \"x\", \"y0\": 9.006814770944379, \"y1\": 132.8728455472107, \"yref\": \"y\"}, {\"line\": {\"color\": \"MediumPurple\", \"dash\": \"dot\", \"width\": 4}, \"type\": \"line\", \"x0\": 1.0, \"x1\": 3.0, \"xref\": \"x\", \"y0\": 14.144990184656542, \"y1\": 14.144990184656542, \"yref\": \"y\"}], \"showlegend\": false, \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"pdp plot for PassengerClass\"}, \"xaxis\": {\"title\": {\"text\": \"PassengerClass\"}}, \"yaxis\": {\"title\": {\"text\": \"Predicted Fare ($)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('dc98f035-0b5d-4581-8041-fe474498102a');\n",
+       "var gd = document.getElementById('ac881f21-1750-4d01-8635-623ba4f029c9');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -117301,23 +78791,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 72,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:47:37.955826Z",
-     "start_time": "2020-10-12T08:47:37.951212Z"
+     "end_time": "2021-01-20T16:03:50.334315Z",
+     "start_time": "2021-01-20T16:03:50.319247Z"
     }
    },
    "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Calculating predictions...\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
-       "{'rmse': 26.109538415667945,\n",
-       " 'mae': 11.699703987700838,\n",
-       " 'R2': 0.5334209678009418}"
+       "{'root_mean_squared_error': 26.86549079230947,\n",
+       " 'mean_absolute_error': 12.4349403655276,\n",
+       " 'R-squared': 0.5060120132123052}"
       ]
      },
-     "execution_count": 74,
+     "execution_count": 72,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -117328,11 +78825,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 73,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:47:38.958455Z",
-     "start_time": "2020-10-12T08:47:38.951925Z"
+     "end_time": "2021-01-20T16:04:01.912939Z",
+     "start_time": "2021-01-20T16:04:01.894320Z"
     }
    },
    "outputs": [
@@ -117340,34 +78837,68 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Calculating residuals...\n",
-      "Calculating prediction percentiles...\n"
+      "Calculating residuals...\n"
      ]
     },
     {
      "data": {
-      "text/markdown": [
-       "###### Prediction:\n",
-       "Predicted Fare: 18.0 $\n",
-       "\n",
-       "Actual Fare: 11.13 $\n",
-       "\n",
-       "Residual: -6.87 $\n",
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
        "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
        "\n",
-       "In top 44.0% percentile predicted Fare"
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>Fare</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Predicted</td>\n",
+       "      <td>18.776 $</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Observed</td>\n",
+       "      <td>11.133 $</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Residual</td>\n",
+       "      <td>-7.642 $</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
       ],
       "text/plain": [
-       "<IPython.core.display.Markdown object>"
+       "                  Fare\n",
+       "0  Predicted  18.776 $\n",
+       "1   Observed  11.133 $\n",
+       "2   Residual  -7.642 $"
       ]
      },
+     "execution_count": 73,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "from IPython.display import display, Markdown\n",
-    "display(Markdown(explainer.prediction_result_markdown(test_names[3])))"
+    "explainer.prediction_result_df(test_names[3])"
    ]
   },
   {
@@ -117379,11 +78910,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 74,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:47:42.176694Z",
-     "start_time": "2020-10-12T08:47:42.163702Z"
+     "end_time": "2021-01-20T16:04:05.870466Z",
+     "start_time": "2021-01-20T16:04:05.854650Z"
     }
    },
    "outputs": [
@@ -117399,208 +78930,208 @@
          "mode": "markers",
          "name": "predicted Fare ($)",
          "text": [
-          "Index: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Actual: 71.28<br>Prediction: 115.74",
-          "Index: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Actual: 53.1<br>Prediction: 85.71",
-          "Index: Palsson, Master. Gosta Leonard<br>Actual: 21.08<br>Prediction: 27.59",
-          "Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Actual: 11.13<br>Prediction: 18.0",
-          "Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Actual: 30.07<br>Prediction: 22.78",
-          "Index: Saundercock, Mr. William Henry<br>Actual: 8.05<br>Prediction: 8.75",
-          "Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Actual: 7.85<br>Prediction: 9.69",
-          "Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Actual: 31.39<br>Prediction: 28.86",
-          "Index: Glynn, Miss. Mary Agatha<br>Actual: 7.75<br>Prediction: 10.71",
-          "Index: Meyer, Mr. Edgar Joseph<br>Actual: 82.17<br>Prediction: 75.17",
-          "Index: Kraeff, Mr. Theodor<br>Actual: 7.9<br>Prediction: 8.9",
-          "Index: Devaney, Miss. Margaret Delia<br>Actual: 7.88<br>Prediction: 10.34",
-          "Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Actual: 17.8<br>Prediction: 11.97",
-          "Index: Rugg, Miss. Emily<br>Actual: 10.5<br>Prediction: 13.72",
-          "Index: Harris, Mr. Henry Birkhardt<br>Actual: 83.48<br>Prediction: 67.48",
-          "Index: Skoog, Master. Harald<br>Actual: 27.9<br>Prediction: 30.03",
-          "Index: Kink, Mr. Vincenz<br>Actual: 8.66<br>Prediction: 18.66",
-          "Index: Hood, Mr. Ambrose Jr<br>Actual: 73.5<br>Prediction: 13.75",
-          "Index: Ilett, Miss. Bertha<br>Actual: 10.5<br>Prediction: 14.94",
-          "Index: Ford, Mr. William Neal<br>Actual: 34.38<br>Prediction: 27.46",
-          "Index: Christmann, Mr. Emil<br>Actual: 8.05<br>Prediction: 8.94",
-          "Index: Andreasson, Mr. Paul Edvin<br>Actual: 7.85<br>Prediction: 8.75",
-          "Index: Chaffee, Mr. Herbert Fuller<br>Actual: 61.18<br>Prediction: 58.4",
-          "Index: Petroff, Mr. Pastcho (\"Pentcho\")<br>Actual: 7.9<br>Prediction: 9.65",
-          "Index: White, Mr. Richard Frasar<br>Actual: 77.29<br>Prediction: 84.89",
-          "Index: Rekic, Mr. Tido<br>Actual: 7.9<br>Prediction: 8.89",
-          "Index: Moran, Miss. Bertha<br>Actual: 24.15<br>Prediction: 13.89",
-          "Index: Barton, Mr. David John<br>Actual: 8.05<br>Prediction: 8.75",
-          "Index: Jussila, Miss. Katriina<br>Actual: 9.82<br>Prediction: 11.97",
-          "Index: Pekoniemi, Mr. Edvard<br>Actual: 7.92<br>Prediction: 8.75",
-          "Index: Turpin, Mr. William John Robert<br>Actual: 21.0<br>Prediction: 24.75",
-          "Index: Moore, Mr. Leonard Charles<br>Actual: 8.05<br>Prediction: 9.65",
-          "Index: Osen, Mr. Olaf Elon<br>Actual: 9.22<br>Prediction: 8.85",
-          "Index: Ford, Miss. Robina Maggie \"Ruby\"<br>Actual: 34.38<br>Prediction: 27.59",
-          "Index: Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Actual: 26.0<br>Prediction: 30.67",
-          "Index: Bateman, Rev. Robert James<br>Actual: 12.52<br>Prediction: 14.29",
-          "Index: Meo, Mr. Alfonzo<br>Actual: 8.05<br>Prediction: 8.89",
-          "Index: Cribb, Mr. John Hatfield<br>Actual: 16.1<br>Prediction: 11.93",
-          "Index: Chibnall, Mrs. (Edith Martha Bowerman)<br>Actual: 55.0<br>Prediction: 93.29",
-          "Index: Van der hoef, Mr. Wyckoff<br>Actual: 33.5<br>Prediction: 40.87",
-          "Index: Sivola, Mr. Antti Wilhelm<br>Actual: 7.92<br>Prediction: 8.75",
-          "Index: Klasen, Mr. Klas Albin<br>Actual: 7.85<br>Prediction: 18.0",
-          "Index: Rood, Mr. Hugh Roscoe<br>Actual: 50.0<br>Prediction: 40.55",
-          "Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Actual: 7.85<br>Prediction: 11.9",
-          "Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Actual: 27.72<br>Prediction: 134.65",
-          "Index: Vande Walle, Mr. Nestor Cyriel<br>Actual: 9.5<br>Prediction: 9.03",
-          "Index: Backstrom, Mr. Karl Alfred<br>Actual: 15.85<br>Prediction: 11.89",
-          "Index: Blank, Mr. Henry<br>Actual: 31.0<br>Prediction: 82.07",
-          "Index: Ali, Mr. Ahmed<br>Actual: 7.05<br>Prediction: 8.75",
-          "Index: Green, Mr. George Henry<br>Actual: 8.05<br>Prediction: 8.89",
-          "Index: Nenkoff, Mr. Christo<br>Actual: 7.9<br>Prediction: 9.65",
-          "Index: Asplund, Miss. Lillian Gertrud<br>Actual: 31.39<br>Prediction: 29.14",
-          "Index: Harknett, Miss. Alice Phoebe<br>Actual: 7.55<br>Prediction: 9.65",
-          "Index: Hunt, Mr. George Henry<br>Actual: 12.28<br>Prediction: 13.97",
-          "Index: Reed, Mr. James George<br>Actual: 7.25<br>Prediction: 9.65",
-          "Index: Stead, Mr. William Thomas<br>Actual: 26.55<br>Prediction: 43.47",
-          "Index: Thorne, Mrs. Gertrude Maybelle<br>Actual: 79.2<br>Prediction: 101.1",
-          "Index: Parrish, Mrs. (Lutie Davis)<br>Actual: 26.0<br>Prediction: 24.6",
-          "Index: Smith, Mr. Thomas<br>Actual: 7.75<br>Prediction: 8.9",
-          "Index: Asplund, Master. Edvin Rojj Felix<br>Actual: 31.39<br>Prediction: 29.14",
-          "Index: Healy, Miss. Hanora \"Nora\"<br>Actual: 7.75<br>Prediction: 10.71",
-          "Index: Andrews, Miss. Kornelia Theodosia<br>Actual: 77.96<br>Prediction: 71.44",
-          "Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Actual: 20.25<br>Prediction: 18.0",
-          "Index: Smith, Mr. Richard William<br>Actual: 26.0<br>Prediction: 40.55",
-          "Index: Connolly, Miss. Kate<br>Actual: 7.75<br>Prediction: 10.34",
-          "Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Actual: 91.08<br>Prediction: 110.98",
-          "Index: Levy, Mr. Rene Jacques<br>Actual: 12.88<br>Prediction: 14.17",
-          "Index: Lewy, Mr. Ervin G<br>Actual: 27.72<br>Prediction: 62.14",
-          "Index: Williams, Mr. Howard Hugh \"Harry\"<br>Actual: 8.05<br>Prediction: 9.65",
-          "Index: Sage, Mr. George John Jr<br>Actual: 69.55<br>Prediction: 68.73",
-          "Index: Nysveen, Mr. Johan Hansen<br>Actual: 6.24<br>Prediction: 8.89",
-          "Index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Actual: 133.65<br>Prediction: 87.49",
-          "Index: Denkoff, Mr. Mitto<br>Actual: 7.9<br>Prediction: 9.65",
-          "Index: Burns, Miss. Elizabeth Margaret<br>Actual: 134.5<br>Prediction: 112.92",
-          "Index: Dimic, Mr. Jovan<br>Actual: 8.66<br>Prediction: 8.89",
-          "Index: del Carlo, Mr. Sebastiano<br>Actual: 27.72<br>Prediction: 24.41",
-          "Index: Beavan, Mr. William Thomas<br>Actual: 8.05<br>Prediction: 8.75",
-          "Index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Actual: 82.17<br>Prediction: 100.49",
-          "Index: Widener, Mr. Harry Elkins<br>Actual: 211.5<br>Prediction: 105.42",
-          "Index: Gustafsson, Mr. Karl Gideon<br>Actual: 7.78<br>Prediction: 8.75",
-          "Index: Plotcharsky, Mr. Vasil<br>Actual: 7.9<br>Prediction: 9.65",
-          "Index: Goodwin, Master. Sidney Leonard<br>Actual: 46.9<br>Prediction: 45.35",
-          "Index: Sadlier, Mr. Matthew<br>Actual: 7.73<br>Prediction: 8.9",
-          "Index: Gustafsson, Mr. Johan Birger<br>Actual: 7.92<br>Prediction: 18.66",
-          "Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Actual: 16.7<br>Prediction: 18.0",
-          "Index: Niskanen, Mr. Juha<br>Actual: 7.92<br>Prediction: 14.11",
-          "Index: Minahan, Miss. Daisy E<br>Actual: 90.0<br>Prediction: 92.35",
-          "Index: Matthews, Mr. William John<br>Actual: 13.0<br>Prediction: 13.97",
-          "Index: Charters, Mr. David<br>Actual: 7.73<br>Prediction: 8.7",
-          "Index: Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Actual: 26.0<br>Prediction: 13.72",
-          "Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Actual: 26.25<br>Prediction: 30.6",
-          "Index: Johannesen-Bratthammer, Mr. Bernt<br>Actual: 8.11<br>Prediction: 12.99",
-          "Index: Peuchen, Major. Arthur Godfrey<br>Actual: 30.5<br>Prediction: 45.79",
-          "Index: Anderson, Mr. Harry<br>Actual: 26.55<br>Prediction: 38.74",
-          "Index: Milling, Mr. Jacob Christian<br>Actual: 13.0<br>Prediction: 14.29",
-          "Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Actual: 27.75<br>Prediction: 31.37",
-          "Index: Karlsson, Mr. Nils August<br>Actual: 7.52<br>Prediction: 8.75",
-          "Index: Frost, Mr. Anthony Wood \"Archie\"<br>Actual: 0.0<br>Prediction: 11.22",
-          "Index: Bishop, Mr. Dickinson H<br>Actual: 91.08<br>Prediction: 147.49",
-          "Index: Windelov, Mr. Einar<br>Actual: 7.25<br>Prediction: 8.75",
-          "Index: Shellard, Mr. Frederick William<br>Actual: 15.1<br>Prediction: 9.65",
-          "Index: Svensson, Mr. Olof<br>Actual: 7.8<br>Prediction: 8.75",
-          "Index: O'Sullivan, Miss. Bridget Mary<br>Actual: 7.63<br>Prediction: 8.9",
-          "Index: Laitinen, Miss. Kristina Sofia<br>Actual: 9.59<br>Prediction: 8.89",
-          "Index: Penasco y Castellana, Mr. Victor de Satode<br>Actual: 108.9<br>Prediction: 79.23",
-          "Index: Bradley, Mr. George (\"George Arthur Brayton\")<br>Actual: 26.55<br>Prediction: 42.89",
-          "Index: Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Actual: 26.0<br>Prediction: 24.59",
-          "Index: Kassem, Mr. Fared<br>Actual: 7.23<br>Prediction: 8.9",
-          "Index: Cacic, Miss. Marija<br>Actual: 8.66<br>Prediction: 8.94",
-          "Index: Hart, Miss. Eva Miriam<br>Actual: 26.25<br>Prediction: 29.02",
-          "Index: Butt, Major. Archibald Willingham<br>Actual: 26.55<br>Prediction: 44.81",
-          "Index: Beane, Mr. Edward<br>Actual: 26.0<br>Prediction: 24.75",
-          "Index: Goldsmith, Mr. Frank John<br>Actual: 20.52<br>Prediction: 18.0",
-          "Index: Ohman, Miss. Velin<br>Actual: 7.78<br>Prediction: 10.69",
-          "Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Actual: 79.65<br>Prediction: 96.19",
-          "Index: Morrow, Mr. Thomas Rowan<br>Actual: 7.75<br>Prediction: 8.9",
-          "Index: Harris, Mr. George<br>Actual: 10.5<br>Prediction: 15.12",
-          "Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Actual: 51.48<br>Prediction: 93.26",
-          "Index: Patchett, Mr. George<br>Actual: 14.5<br>Prediction: 8.75",
-          "Index: Ross, Mr. John Hugo<br>Actual: 40.12<br>Prediction: 99.13",
-          "Index: Murdlin, Mr. Joseph<br>Actual: 8.05<br>Prediction: 9.65",
-          "Index: Bourke, Miss. Mary<br>Actual: 7.75<br>Prediction: 18.34",
-          "Index: Boulos, Mr. Hanna<br>Actual: 7.22<br>Prediction: 8.9",
-          "Index: Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Actual: 56.93<br>Prediction: 81.19",
-          "Index: Homer, Mr. Harry (\"Mr E Haven\")<br>Actual: 26.55<br>Prediction: 128.8",
-          "Index: Lindell, Mr. Edvard Bengtsson<br>Actual: 15.55<br>Prediction: 11.89",
-          "Index: Daniel, Mr. Robert Williams<br>Actual: 30.5<br>Prediction: 39.42",
-          "Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Actual: 41.58<br>Prediction: 30.4",
-          "Index: Shutes, Miss. Elizabeth W<br>Actual: 153.46<br>Prediction: 89.95",
-          "Index: Jardin, Mr. Jose Neto<br>Actual: 7.05<br>Prediction: 9.65",
-          "Index: Horgan, Mr. John<br>Actual: 7.75<br>Prediction: 8.9",
-          "Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Actual: 16.1<br>Prediction: 12.02",
-          "Index: Yasbeck, Mr. Antoni<br>Actual: 14.45<br>Prediction: 11.92",
-          "Index: Bostandyeff, Mr. Guentcho<br>Actual: 7.9<br>Prediction: 9.35",
-          "Index: Lundahl, Mr. Johan Svensson<br>Actual: 7.05<br>Prediction: 8.89",
-          "Index: Stahelin-Maeglin, Dr. Max<br>Actual: 30.5<br>Prediction: 154.37",
-          "Index: Willey, Mr. Edward<br>Actual: 7.55<br>Prediction: 9.65",
-          "Index: Stanley, Miss. Amy Zillah Elsie<br>Actual: 7.55<br>Prediction: 10.69",
-          "Index: Hegarty, Miss. Hanora \"Nora\"<br>Actual: 6.75<br>Prediction: 8.76",
-          "Index: Eitemiller, Mr. George Floyd<br>Actual: 13.0<br>Prediction: 13.75",
-          "Index: Colley, Mr. Edward Pomeroy<br>Actual: 25.59<br>Prediction: 35.25",
-          "Index: Coleff, Mr. Peju<br>Actual: 7.5<br>Prediction: 8.89",
-          "Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Actual: 39.0<br>Prediction: 30.33",
-          "Index: Davidson, Mr. Thornton<br>Actual: 52.0<br>Prediction: 58.02",
-          "Index: Turja, Miss. Anna Sofia<br>Actual: 9.84<br>Prediction: 10.74",
-          "Index: Hassab, Mr. Hammad<br>Actual: 76.73<br>Prediction: 65.84",
-          "Index: Goodwin, Mr. Charles Edward<br>Actual: 46.9<br>Prediction: 45.35",
-          "Index: Panula, Mr. Jaako Arnold<br>Actual: 39.69<br>Prediction: 30.03",
-          "Index: Fischer, Mr. Eberhard Thelander<br>Actual: 7.8<br>Prediction: 8.81",
-          "Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Actual: 7.65<br>Prediction: 8.89",
-          "Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Actual: 227.52<br>Prediction: 92.48",
-          "Index: Hansen, Mr. Henrik Juul<br>Actual: 7.85<br>Prediction: 11.92",
-          "Index: Calderhead, Mr. Edward Pennington<br>Actual: 26.29<br>Prediction: 38.74",
-          "Index: Klaber, Mr. Herman<br>Actual: 26.55<br>Prediction: 56.46",
-          "Index: Taylor, Mr. Elmer Zebley<br>Actual: 52.0<br>Prediction: 66.53",
-          "Index: Larsson, Mr. August Viktor<br>Actual: 9.48<br>Prediction: 8.94",
-          "Index: Greenberg, Mr. Samuel<br>Actual: 13.0<br>Prediction: 14.29",
-          "Index: Troutt, Miss. Edwina Celia \"Winnie\"<br>Actual: 10.5<br>Prediction: 13.94",
-          "Index: McEvoy, Mr. Michael<br>Actual: 15.5<br>Prediction: 8.9",
-          "Index: Johnson, Mr. Malkolm Joackim<br>Actual: 7.78<br>Prediction: 8.93",
-          "Index: Gillespie, Mr. William Henry<br>Actual: 13.0<br>Prediction: 13.97",
-          "Index: Allen, Miss. Elisabeth Walton<br>Actual: 211.34<br>Prediction: 77.57",
-          "Index: Berriman, Mr. William John<br>Actual: 13.0<br>Prediction: 13.75",
-          "Index: Troupiansky, Mr. Moses Aaron<br>Actual: 13.0<br>Prediction: 13.75",
-          "Index: Williams, Mr. Leslie<br>Actual: 16.1<br>Prediction: 9.03",
-          "Index: Ivanoff, Mr. Kanio<br>Actual: 7.9<br>Prediction: 9.65",
-          "Index: McNamee, Mr. Neal<br>Actual: 16.1<br>Prediction: 11.87",
-          "Index: Connaghton, Mr. Michael<br>Actual: 7.75<br>Prediction: 8.89",
-          "Index: Carlsson, Mr. August Sigfrid<br>Actual: 7.8<br>Prediction: 9.03",
-          "Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Actual: 86.5<br>Prediction: 83.69",
-          "Index: Eklund, Mr. Hans Linus<br>Actual: 7.78<br>Prediction: 8.85",
-          "Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Actual: 77.96<br>Prediction: 71.44",
-          "Index: Moran, Mr. Daniel J<br>Actual: 24.15<br>Prediction: 14.1",
-          "Index: Lievens, Mr. Rene Aime<br>Actual: 9.5<br>Prediction: 8.75",
-          "Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Actual: 211.34<br>Prediction: 113.43",
-          "Index: Ayoub, Miss. Banoura<br>Actual: 7.23<br>Prediction: 10.56",
-          "Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Actual: 57.0<br>Prediction: 81.34",
-          "Index: Johnston, Mr. Andrew G<br>Actual: 23.45<br>Prediction: 20.21",
-          "Index: Ali, Mr. William<br>Actual: 7.05<br>Prediction: 8.75",
-          "Index: Sjoblom, Miss. Anna Sofia<br>Actual: 7.5<br>Prediction: 10.74",
-          "Index: Guggenheim, Mr. Benjamin<br>Actual: 79.2<br>Prediction: 114.23",
-          "Index: Leader, Dr. Alice (Farnham)<br>Actual: 25.93<br>Prediction: 77.64",
-          "Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Actual: 26.25<br>Prediction: 29.85",
-          "Index: Carter, Master. William Thornton II<br>Actual: 120.0<br>Prediction: 121.63",
-          "Index: Thomas, Master. Assad Alexander<br>Actual: 8.52<br>Prediction: 12.37",
-          "Index: Johansson, Mr. Karl Johan<br>Actual: 7.78<br>Prediction: 8.94",
-          "Index: Slemen, Mr. Richard James<br>Actual: 10.5<br>Prediction: 14.17",
-          "Index: Tomlin, Mr. Ernest Portage<br>Actual: 8.05<br>Prediction: 8.94",
-          "Index: McCormack, Mr. Thomas Joseph<br>Actual: 7.75<br>Prediction: 11.94",
-          "Index: Richards, Master. George Sibley<br>Actual: 18.75<br>Prediction: 28.76",
-          "Index: Mudd, Mr. Thomas Charles<br>Actual: 10.5<br>Prediction: 15.11",
-          "Index: Lemberopolous, Mr. Peter L<br>Actual: 6.44<br>Prediction: 8.84",
-          "Index: Sage, Mr. Douglas Bullen<br>Actual: 69.55<br>Prediction: 68.73",
-          "Index: Boulos, Miss. Nourelain<br>Actual: 15.25<br>Prediction: 17.81",
-          "Index: Aks, Mrs. Sam (Leah Rosen)<br>Actual: 9.35<br>Prediction: 11.89",
-          "Index: Razi, Mr. Raihed<br>Actual: 7.23<br>Prediction: 8.9",
-          "Index: Johnson, Master. Harold Theodor<br>Actual: 11.13<br>Prediction: 18.08",
-          "Index: Carlsson, Mr. Frans Olof<br>Actual: 5.0<br>Prediction: 45.3",
-          "Index: Gustafsson, Mr. Alfred Ossian<br>Actual: 9.85<br>Prediction: 8.75",
-          "Index: Montvila, Rev. Juozas<br>Actual: 13.0<br>Prediction: 13.97"
-         ],
-         "type": "scatter",
+          "Index: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Observed: 71.28<br>Prediction: 111.90",
+          "Index: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Observed: 53.10<br>Prediction: 84.10",
+          "Index: Palsson, Master. Gosta Leonard<br>Observed: 21.07<br>Prediction: 24.37",
+          "Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Observed: 11.13<br>Prediction: 18.78",
+          "Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Observed: 30.07<br>Prediction: 24.13",
+          "Index: Saundercock, Mr. William Henry<br>Observed: 8.05<br>Prediction: 9.01",
+          "Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Observed: 7.85<br>Prediction: 9.29",
+          "Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Observed: 31.39<br>Prediction: 25.49",
+          "Index: Glynn, Miss. Mary Agatha<br>Observed: 7.75<br>Prediction: 11.46",
+          "Index: Meyer, Mr. Edgar Joseph<br>Observed: 82.17<br>Prediction: 69.22",
+          "Index: Kraeff, Mr. Theodor<br>Observed: 7.90<br>Prediction: 9.30",
+          "Index: Devaney, Miss. Margaret Delia<br>Observed: 7.88<br>Prediction: 10.96",
+          "Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Observed: 17.80<br>Prediction: 13.12",
+          "Index: Rugg, Miss. Emily<br>Observed: 10.50<br>Prediction: 14.20",
+          "Index: Harris, Mr. Henry Birkhardt<br>Observed: 83.47<br>Prediction: 59.72",
+          "Index: Skoog, Master. Harald<br>Observed: 27.90<br>Prediction: 25.98",
+          "Index: Kink, Mr. Vincenz<br>Observed: 8.66<br>Prediction: 18.96",
+          "Index: Hood, Mr. Ambrose Jr<br>Observed: 73.50<br>Prediction: 14.14",
+          "Index: Ilett, Miss. Bertha<br>Observed: 10.50<br>Prediction: 15.84",
+          "Index: Ford, Mr. William Neal<br>Observed: 34.38<br>Prediction: 23.08",
+          "Index: Christmann, Mr. Emil<br>Observed: 8.05<br>Prediction: 9.09",
+          "Index: Andreasson, Mr. Paul Edvin<br>Observed: 7.85<br>Prediction: 9.01",
+          "Index: Chaffee, Mr. Herbert Fuller<br>Observed: 61.17<br>Prediction: 50.89",
+          "Index: Petroff, Mr. Pastcho (\"Pentcho\")<br>Observed: 7.90<br>Prediction: 9.44",
+          "Index: White, Mr. Richard Frasar<br>Observed: 77.29<br>Prediction: 88.47",
+          "Index: Rekic, Mr. Tido<br>Observed: 7.90<br>Prediction: 9.07",
+          "Index: Moran, Miss. Bertha<br>Observed: 24.15<br>Prediction: 14.56",
+          "Index: Barton, Mr. David John<br>Observed: 8.05<br>Prediction: 9.01",
+          "Index: Jussila, Miss. Katriina<br>Observed: 9.82<br>Prediction: 13.12",
+          "Index: Pekoniemi, Mr. Edvard<br>Observed: 7.92<br>Prediction: 9.01",
+          "Index: Turpin, Mr. William John Robert<br>Observed: 21.00<br>Prediction: 24.72",
+          "Index: Moore, Mr. Leonard Charles<br>Observed: 8.05<br>Prediction: 9.44",
+          "Index: Osen, Mr. Olaf Elon<br>Observed: 9.22<br>Prediction: 9.01",
+          "Index: Ford, Miss. Robina Maggie \"Ruby\"<br>Observed: 34.38<br>Prediction: 24.43",
+          "Index: Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Observed: 26.00<br>Prediction: 26.44",
+          "Index: Bateman, Rev. Robert James<br>Observed: 12.53<br>Prediction: 14.20",
+          "Index: Meo, Mr. Alfonzo<br>Observed: 8.05<br>Prediction: 9.07",
+          "Index: Cribb, Mr. John Hatfield<br>Observed: 16.10<br>Prediction: 18.64",
+          "Index: Chibnall, Mrs. (Edith Martha Bowerman)<br>Observed: 55.00<br>Prediction: 106.26",
+          "Index: Van der hoef, Mr. Wyckoff<br>Observed: 33.50<br>Prediction: 35.44",
+          "Index: Sivola, Mr. Antti Wilhelm<br>Observed: 7.92<br>Prediction: 9.01",
+          "Index: Klasen, Mr. Klas Albin<br>Observed: 7.85<br>Prediction: 19.61",
+          "Index: Rood, Mr. Hugh Roscoe<br>Observed: 50.00<br>Prediction: 39.90",
+          "Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Observed: 7.85<br>Prediction: 14.43",
+          "Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Observed: 27.72<br>Prediction: 135.58",
+          "Index: Vande Walle, Mr. Nestor Cyriel<br>Observed: 9.50<br>Prediction: 9.56",
+          "Index: Backstrom, Mr. Karl Alfred<br>Observed: 15.85<br>Prediction: 13.06",
+          "Index: Blank, Mr. Henry<br>Observed: 31.00<br>Prediction: 74.74",
+          "Index: Ali, Mr. Ahmed<br>Observed: 7.05<br>Prediction: 9.01",
+          "Index: Green, Mr. George Henry<br>Observed: 8.05<br>Prediction: 9.07",
+          "Index: Nenkoff, Mr. Christo<br>Observed: 7.90<br>Prediction: 9.44",
+          "Index: Asplund, Miss. Lillian Gertrud<br>Observed: 31.39<br>Prediction: 27.81",
+          "Index: Harknett, Miss. Alice Phoebe<br>Observed: 7.55<br>Prediction: 9.44",
+          "Index: Hunt, Mr. George Henry<br>Observed: 12.28<br>Prediction: 14.14",
+          "Index: Reed, Mr. James George<br>Observed: 7.25<br>Prediction: 9.44",
+          "Index: Stead, Mr. William Thomas<br>Observed: 26.55<br>Prediction: 44.84",
+          "Index: Thorne, Mrs. Gertrude Maybelle<br>Observed: 79.20<br>Prediction: 119.07",
+          "Index: Parrish, Mrs. (Lutie Davis)<br>Observed: 26.00<br>Prediction: 31.56",
+          "Index: Smith, Mr. Thomas<br>Observed: 7.75<br>Prediction: 9.30",
+          "Index: Asplund, Master. Edvin Rojj Felix<br>Observed: 31.39<br>Prediction: 28.09",
+          "Index: Healy, Miss. Hanora \"Nora\"<br>Observed: 7.75<br>Prediction: 11.46",
+          "Index: Andrews, Miss. Kornelia Theodosia<br>Observed: 77.96<br>Prediction: 61.94",
+          "Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Observed: 20.25<br>Prediction: 19.11",
+          "Index: Smith, Mr. Richard William<br>Observed: 26.00<br>Prediction: 39.90",
+          "Index: Connolly, Miss. Kate<br>Observed: 7.75<br>Prediction: 10.96",
+          "Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Observed: 91.08<br>Prediction: 107.12",
+          "Index: Levy, Mr. Rene Jacques<br>Observed: 12.88<br>Prediction: 14.14",
+          "Index: Lewy, Mr. Ervin G<br>Observed: 27.72<br>Prediction: 65.42",
+          "Index: Williams, Mr. Howard Hugh \"Harry\"<br>Observed: 8.05<br>Prediction: 9.44",
+          "Index: Sage, Mr. George John Jr<br>Observed: 69.55<br>Prediction: 69.32",
+          "Index: Nysveen, Mr. Johan Hansen<br>Observed: 6.24<br>Prediction: 9.07",
+          "Index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Observed: 133.65<br>Prediction: 84.92",
+          "Index: Denkoff, Mr. Mitto<br>Observed: 7.90<br>Prediction: 9.44",
+          "Index: Burns, Miss. Elizabeth Margaret<br>Observed: 134.50<br>Prediction: 101.93",
+          "Index: Dimic, Mr. Jovan<br>Observed: 8.66<br>Prediction: 9.07",
+          "Index: del Carlo, Mr. Sebastiano<br>Observed: 27.72<br>Prediction: 24.72",
+          "Index: Beavan, Mr. William Thomas<br>Observed: 8.05<br>Prediction: 9.01",
+          "Index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Observed: 82.17<br>Prediction: 111.31",
+          "Index: Widener, Mr. Harry Elkins<br>Observed: 211.50<br>Prediction: 122.54",
+          "Index: Gustafsson, Mr. Karl Gideon<br>Observed: 7.78<br>Prediction: 9.01",
+          "Index: Plotcharsky, Mr. Vasil<br>Observed: 7.90<br>Prediction: 9.44",
+          "Index: Goodwin, Master. Sidney Leonard<br>Observed: 46.90<br>Prediction: 42.47",
+          "Index: Sadlier, Mr. Matthew<br>Observed: 7.73<br>Prediction: 9.30",
+          "Index: Gustafsson, Mr. Johan Birger<br>Observed: 7.92<br>Prediction: 19.24",
+          "Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Observed: 16.70<br>Prediction: 18.57",
+          "Index: Niskanen, Mr. Juha<br>Observed: 7.92<br>Prediction: 13.02",
+          "Index: Minahan, Miss. Daisy E<br>Observed: 90.00<br>Prediction: 97.22",
+          "Index: Matthews, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14",
+          "Index: Charters, Mr. David<br>Observed: 7.73<br>Prediction: 9.01",
+          "Index: Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Observed: 26.00<br>Prediction: 14.20",
+          "Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Observed: 26.25<br>Prediction: 27.89",
+          "Index: Johannesen-Bratthammer, Mr. Bernt<br>Observed: 8.11<br>Prediction: 12.55",
+          "Index: Peuchen, Major. Arthur Godfrey<br>Observed: 30.50<br>Prediction: 45.07",
+          "Index: Anderson, Mr. Harry<br>Observed: 26.55<br>Prediction: 39.01",
+          "Index: Milling, Mr. Jacob Christian<br>Observed: 13.00<br>Prediction: 14.20",
+          "Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Observed: 27.75<br>Prediction: 29.99",
+          "Index: Karlsson, Mr. Nils August<br>Observed: 7.52<br>Prediction: 9.01",
+          "Index: Frost, Mr. Anthony Wood \"Archie\"<br>Observed: 0.00<br>Prediction: 13.26",
+          "Index: Bishop, Mr. Dickinson H<br>Observed: 91.08<br>Prediction: 146.18",
+          "Index: Windelov, Mr. Einar<br>Observed: 7.25<br>Prediction: 9.01",
+          "Index: Shellard, Mr. Frederick William<br>Observed: 15.10<br>Prediction: 9.44",
+          "Index: Svensson, Mr. Olof<br>Observed: 7.80<br>Prediction: 9.01",
+          "Index: O'Sullivan, Miss. Bridget Mary<br>Observed: 7.63<br>Prediction: 9.30",
+          "Index: Laitinen, Miss. Kristina Sofia<br>Observed: 9.59<br>Prediction: 9.07",
+          "Index: Penasco y Castellana, Mr. Victor de Satode<br>Observed: 108.90<br>Prediction: 77.01",
+          "Index: Bradley, Mr. George (\"George Arthur Brayton\")<br>Observed: 26.55<br>Prediction: 46.34",
+          "Index: Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Observed: 26.00<br>Prediction: 24.73",
+          "Index: Kassem, Mr. Fared<br>Observed: 7.23<br>Prediction: 9.30",
+          "Index: Cacic, Miss. Marija<br>Observed: 8.66<br>Prediction: 9.09",
+          "Index: Hart, Miss. Eva Miriam<br>Observed: 26.25<br>Prediction: 25.60",
+          "Index: Butt, Major. Archibald Willingham<br>Observed: 26.55<br>Prediction: 35.44",
+          "Index: Beane, Mr. Edward<br>Observed: 26.00<br>Prediction: 25.23",
+          "Index: Goldsmith, Mr. Frank John<br>Observed: 20.52<br>Prediction: 19.61",
+          "Index: Ohman, Miss. Velin<br>Observed: 7.78<br>Prediction: 11.60",
+          "Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Observed: 79.65<br>Prediction: 96.58",
+          "Index: Morrow, Mr. Thomas Rowan<br>Observed: 7.75<br>Prediction: 9.30",
+          "Index: Harris, Mr. George<br>Observed: 10.50<br>Prediction: 15.21",
+          "Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Observed: 51.48<br>Prediction: 107.98",
+          "Index: Patchett, Mr. George<br>Observed: 14.50<br>Prediction: 9.01",
+          "Index: Ross, Mr. John Hugo<br>Observed: 40.12<br>Prediction: 82.43",
+          "Index: Murdlin, Mr. Joseph<br>Observed: 8.05<br>Prediction: 9.44",
+          "Index: Bourke, Miss. Mary<br>Observed: 7.75<br>Prediction: 19.99",
+          "Index: Boulos, Mr. Hanna<br>Observed: 7.22<br>Prediction: 9.30",
+          "Index: Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Observed: 56.93<br>Prediction: 74.41",
+          "Index: Homer, Mr. Harry (\"Mr E Haven\")<br>Observed: 26.55<br>Prediction: 132.87",
+          "Index: Lindell, Mr. Edvard Bengtsson<br>Observed: 15.55<br>Prediction: 13.06",
+          "Index: Daniel, Mr. Robert Williams<br>Observed: 30.50<br>Prediction: 44.05",
+          "Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Observed: 41.58<br>Prediction: 30.66",
+          "Index: Shutes, Miss. Elizabeth W<br>Observed: 153.46<br>Prediction: 78.64",
+          "Index: Jardin, Mr. Jose Neto<br>Observed: 7.05<br>Prediction: 9.44",
+          "Index: Horgan, Mr. John<br>Observed: 7.75<br>Prediction: 9.30",
+          "Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Observed: 16.10<br>Prediction: 13.12",
+          "Index: Yasbeck, Mr. Antoni<br>Observed: 14.45<br>Prediction: 13.12",
+          "Index: Bostandyeff, Mr. Guentcho<br>Observed: 7.90<br>Prediction: 9.13",
+          "Index: Lundahl, Mr. Johan Svensson<br>Observed: 7.05<br>Prediction: 9.07",
+          "Index: Stahelin-Maeglin, Dr. Max<br>Observed: 30.50<br>Prediction: 167.14",
+          "Index: Willey, Mr. Edward<br>Observed: 7.55<br>Prediction: 9.44",
+          "Index: Stanley, Miss. Amy Zillah Elsie<br>Observed: 7.55<br>Prediction: 11.60",
+          "Index: Hegarty, Miss. Hanora \"Nora\"<br>Observed: 6.75<br>Prediction: 9.01",
+          "Index: Eitemiller, Mr. George Floyd<br>Observed: 13.00<br>Prediction: 14.14",
+          "Index: Colley, Mr. Edward Pomeroy<br>Observed: 25.59<br>Prediction: 36.25",
+          "Index: Coleff, Mr. Peju<br>Observed: 7.50<br>Prediction: 9.07",
+          "Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Observed: 39.00<br>Prediction: 26.92",
+          "Index: Davidson, Mr. Thornton<br>Observed: 52.00<br>Prediction: 46.49",
+          "Index: Turja, Miss. Anna Sofia<br>Observed: 9.84<br>Prediction: 11.60",
+          "Index: Hassab, Mr. Hammad<br>Observed: 76.73<br>Prediction: 61.45",
+          "Index: Goodwin, Mr. Charles Edward<br>Observed: 46.90<br>Prediction: 42.47",
+          "Index: Panula, Mr. Jaako Arnold<br>Observed: 39.69<br>Prediction: 27.31",
+          "Index: Fischer, Mr. Eberhard Thelander<br>Observed: 7.80<br>Prediction: 9.01",
+          "Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Observed: 7.65<br>Prediction: 9.07",
+          "Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Observed: 227.53<br>Prediction: 90.87",
+          "Index: Hansen, Mr. Henrik Juul<br>Observed: 7.85<br>Prediction: 13.12",
+          "Index: Calderhead, Mr. Edward Pennington<br>Observed: 26.29<br>Prediction: 39.01",
+          "Index: Klaber, Mr. Herman<br>Observed: 26.55<br>Prediction: 58.88",
+          "Index: Taylor, Mr. Elmer Zebley<br>Observed: 52.00<br>Prediction: 59.95",
+          "Index: Larsson, Mr. August Viktor<br>Observed: 9.48<br>Prediction: 9.09",
+          "Index: Greenberg, Mr. Samuel<br>Observed: 13.00<br>Prediction: 14.20",
+          "Index: Troutt, Miss. Edwina Celia \"Winnie\"<br>Observed: 10.50<br>Prediction: 14.20",
+          "Index: McEvoy, Mr. Michael<br>Observed: 15.50<br>Prediction: 9.30",
+          "Index: Johnson, Mr. Malkolm Joackim<br>Observed: 7.78<br>Prediction: 9.16",
+          "Index: Gillespie, Mr. William Henry<br>Observed: 13.00<br>Prediction: 14.14",
+          "Index: Allen, Miss. Elisabeth Walton<br>Observed: 211.34<br>Prediction: 77.13",
+          "Index: Berriman, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14",
+          "Index: Troupiansky, Mr. Moses Aaron<br>Observed: 13.00<br>Prediction: 14.14",
+          "Index: Williams, Mr. Leslie<br>Observed: 16.10<br>Prediction: 9.56",
+          "Index: Ivanoff, Mr. Kanio<br>Observed: 7.90<br>Prediction: 9.44",
+          "Index: McNamee, Mr. Neal<br>Observed: 16.10<br>Prediction: 13.12",
+          "Index: Connaghton, Mr. Michael<br>Observed: 7.75<br>Prediction: 9.09",
+          "Index: Carlsson, Mr. August Sigfrid<br>Observed: 7.80<br>Prediction: 9.56",
+          "Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Observed: 86.50<br>Prediction: 76.42",
+          "Index: Eklund, Mr. Hans Linus<br>Observed: 7.78<br>Prediction: 9.01",
+          "Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Observed: 77.96<br>Prediction: 61.93",
+          "Index: Moran, Mr. Daniel J<br>Observed: 24.15<br>Prediction: 13.77",
+          "Index: Lievens, Mr. Rene Aime<br>Observed: 9.50<br>Prediction: 9.01",
+          "Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Observed: 211.34<br>Prediction: 104.14",
+          "Index: Ayoub, Miss. Banoura<br>Observed: 7.23<br>Prediction: 11.14",
+          "Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Observed: 57.00<br>Prediction: 76.64",
+          "Index: Johnston, Mr. Andrew G<br>Observed: 23.45<br>Prediction: 22.47",
+          "Index: Ali, Mr. William<br>Observed: 7.05<br>Prediction: 9.01",
+          "Index: Sjoblom, Miss. Anna Sofia<br>Observed: 7.50<br>Prediction: 11.60",
+          "Index: Guggenheim, Mr. Benjamin<br>Observed: 79.20<br>Prediction: 120.52",
+          "Index: Leader, Dr. Alice (Farnham)<br>Observed: 25.93<br>Prediction: 60.75",
+          "Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Observed: 26.25<br>Prediction: 26.92",
+          "Index: Carter, Master. William Thornton II<br>Observed: 120.00<br>Prediction: 151.12",
+          "Index: Thomas, Master. Assad Alexander<br>Observed: 8.52<br>Prediction: 17.56",
+          "Index: Johansson, Mr. Karl Johan<br>Observed: 7.78<br>Prediction: 9.09",
+          "Index: Slemen, Mr. Richard James<br>Observed: 10.50<br>Prediction: 14.14",
+          "Index: Tomlin, Mr. Ernest Portage<br>Observed: 8.05<br>Prediction: 9.09",
+          "Index: McCormack, Mr. Thomas Joseph<br>Observed: 7.75<br>Prediction: 11.77",
+          "Index: Richards, Master. George Sibley<br>Observed: 18.75<br>Prediction: 26.93",
+          "Index: Mudd, Mr. Thomas Charles<br>Observed: 10.50<br>Prediction: 15.78",
+          "Index: Lemberopolous, Mr. Peter L<br>Observed: 6.44<br>Prediction: 9.07",
+          "Index: Sage, Mr. Douglas Bullen<br>Observed: 69.55<br>Prediction: 69.32",
+          "Index: Boulos, Miss. Nourelain<br>Observed: 15.25<br>Prediction: 19.61",
+          "Index: Aks, Mrs. Sam (Leah Rosen)<br>Observed: 9.35<br>Prediction: 17.75",
+          "Index: Razi, Mr. Raihed<br>Observed: 7.23<br>Prediction: 9.30",
+          "Index: Johnson, Master. Harold Theodor<br>Observed: 11.13<br>Prediction: 19.11",
+          "Index: Carlsson, Mr. Frans Olof<br>Observed: 5.00<br>Prediction: 36.55",
+          "Index: Gustafsson, Mr. Alfred Ossian<br>Observed: 9.85<br>Prediction: 9.01",
+          "Index: Montvila, Rev. Juozas<br>Observed: 13.00<br>Prediction: 14.14"
+         ],
+         "type": "scattergl",
          "x": [
           71.2833,
           53.1,
@@ -117804,213 +79335,213 @@
           13
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+       "<div>                            <div id=\"570fe44d-957e-49c4-8ead-adc1fd1c262e\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"570fe44d-957e-49c4-8ead-adc1fd1c262e\")) {                    Plotly.newPlot(                        \"570fe44d-957e-49c4-8ead-adc1fd1c262e\",                        [{\"hoverinfo\": \"text\", \"mode\": \"markers\", \"name\": \"predicted Fare ($)\", \"text\": [\"Index: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Observed: 71.28<br>Prediction: 111.90\", \"Index: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Observed: 53.10<br>Prediction: 84.10\", \"Index: Palsson, Master. Gosta Leonard<br>Observed: 21.07<br>Prediction: 24.37\", \"Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Observed: 11.13<br>Prediction: 18.78\", \"Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Observed: 30.07<br>Prediction: 24.13\", \"Index: Saundercock, Mr. William Henry<br>Observed: 8.05<br>Prediction: 9.01\", \"Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Observed: 7.85<br>Prediction: 9.29\", \"Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Observed: 31.39<br>Prediction: 25.49\", \"Index: Glynn, Miss. Mary Agatha<br>Observed: 7.75<br>Prediction: 11.46\", \"Index: Meyer, Mr. Edgar Joseph<br>Observed: 82.17<br>Prediction: 69.22\", \"Index: Kraeff, Mr. Theodor<br>Observed: 7.90<br>Prediction: 9.30\", \"Index: Devaney, Miss. Margaret Delia<br>Observed: 7.88<br>Prediction: 10.96\", \"Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Observed: 17.80<br>Prediction: 13.12\", \"Index: Rugg, Miss. Emily<br>Observed: 10.50<br>Prediction: 14.20\", \"Index: Harris, Mr. Henry Birkhardt<br>Observed: 83.47<br>Prediction: 59.72\", \"Index: Skoog, Master. Harald<br>Observed: 27.90<br>Prediction: 25.98\", \"Index: Kink, Mr. Vincenz<br>Observed: 8.66<br>Prediction: 18.96\", \"Index: Hood, Mr. Ambrose Jr<br>Observed: 73.50<br>Prediction: 14.14\", \"Index: Ilett, Miss. Bertha<br>Observed: 10.50<br>Prediction: 15.84\", \"Index: Ford, Mr. William Neal<br>Observed: 34.38<br>Prediction: 23.08\", \"Index: Christmann, Mr. Emil<br>Observed: 8.05<br>Prediction: 9.09\", \"Index: Andreasson, Mr. Paul Edvin<br>Observed: 7.85<br>Prediction: 9.01\", \"Index: Chaffee, Mr. Herbert Fuller<br>Observed: 61.17<br>Prediction: 50.89\", \"Index: Petroff, Mr. Pastcho (\\\"Pentcho\\\")<br>Observed: 7.90<br>Prediction: 9.44\", \"Index: White, Mr. Richard Frasar<br>Observed: 77.29<br>Prediction: 88.47\", \"Index: Rekic, Mr. Tido<br>Observed: 7.90<br>Prediction: 9.07\", \"Index: Moran, Miss. Bertha<br>Observed: 24.15<br>Prediction: 14.56\", \"Index: Barton, Mr. David John<br>Observed: 8.05<br>Prediction: 9.01\", \"Index: Jussila, Miss. Katriina<br>Observed: 9.82<br>Prediction: 13.12\", \"Index: Pekoniemi, Mr. Edvard<br>Observed: 7.92<br>Prediction: 9.01\", \"Index: Turpin, Mr. William John Robert<br>Observed: 21.00<br>Prediction: 24.72\", \"Index: Moore, Mr. Leonard Charles<br>Observed: 8.05<br>Prediction: 9.44\", \"Index: Osen, Mr. Olaf Elon<br>Observed: 9.22<br>Prediction: 9.01\", \"Index: Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Observed: 34.38<br>Prediction: 24.43\", \"Index: Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Observed: 26.00<br>Prediction: 26.44\", \"Index: Bateman, Rev. Robert James<br>Observed: 12.53<br>Prediction: 14.20\", \"Index: Meo, Mr. Alfonzo<br>Observed: 8.05<br>Prediction: 9.07\", \"Index: Cribb, Mr. John Hatfield<br>Observed: 16.10<br>Prediction: 18.64\", \"Index: Chibnall, Mrs. (Edith Martha Bowerman)<br>Observed: 55.00<br>Prediction: 106.26\", \"Index: Van der hoef, Mr. Wyckoff<br>Observed: 33.50<br>Prediction: 35.44\", \"Index: Sivola, Mr. Antti Wilhelm<br>Observed: 7.92<br>Prediction: 9.01\", \"Index: Klasen, Mr. Klas Albin<br>Observed: 7.85<br>Prediction: 19.61\", \"Index: Rood, Mr. Hugh Roscoe<br>Observed: 50.00<br>Prediction: 39.90\", \"Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Observed: 7.85<br>Prediction: 14.43\", \"Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Observed: 27.72<br>Prediction: 135.58\", \"Index: Vande Walle, Mr. Nestor Cyriel<br>Observed: 9.50<br>Prediction: 9.56\", \"Index: Backstrom, Mr. Karl Alfred<br>Observed: 15.85<br>Prediction: 13.06\", \"Index: Blank, Mr. Henry<br>Observed: 31.00<br>Prediction: 74.74\", \"Index: Ali, Mr. Ahmed<br>Observed: 7.05<br>Prediction: 9.01\", \"Index: Green, Mr. George Henry<br>Observed: 8.05<br>Prediction: 9.07\", \"Index: Nenkoff, Mr. Christo<br>Observed: 7.90<br>Prediction: 9.44\", \"Index: Asplund, Miss. Lillian Gertrud<br>Observed: 31.39<br>Prediction: 27.81\", \"Index: Harknett, Miss. Alice Phoebe<br>Observed: 7.55<br>Prediction: 9.44\", \"Index: Hunt, Mr. George Henry<br>Observed: 12.28<br>Prediction: 14.14\", \"Index: Reed, Mr. James George<br>Observed: 7.25<br>Prediction: 9.44\", \"Index: Stead, Mr. William Thomas<br>Observed: 26.55<br>Prediction: 44.84\", \"Index: Thorne, Mrs. Gertrude Maybelle<br>Observed: 79.20<br>Prediction: 119.07\", \"Index: Parrish, Mrs. (Lutie Davis)<br>Observed: 26.00<br>Prediction: 31.56\", \"Index: Smith, Mr. Thomas<br>Observed: 7.75<br>Prediction: 9.30\", \"Index: Asplund, Master. Edvin Rojj Felix<br>Observed: 31.39<br>Prediction: 28.09\", \"Index: Healy, Miss. Hanora \\\"Nora\\\"<br>Observed: 7.75<br>Prediction: 11.46\", \"Index: Andrews, Miss. Kornelia Theodosia<br>Observed: 77.96<br>Prediction: 61.94\", \"Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Observed: 20.25<br>Prediction: 19.11\", \"Index: Smith, Mr. Richard William<br>Observed: 26.00<br>Prediction: 39.90\", \"Index: Connolly, Miss. Kate<br>Observed: 7.75<br>Prediction: 10.96\", \"Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Observed: 91.08<br>Prediction: 107.12\", \"Index: Levy, Mr. Rene Jacques<br>Observed: 12.88<br>Prediction: 14.14\", \"Index: Lewy, Mr. Ervin G<br>Observed: 27.72<br>Prediction: 65.42\", \"Index: Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Observed: 8.05<br>Prediction: 9.44\", \"Index: Sage, Mr. George John Jr<br>Observed: 69.55<br>Prediction: 69.32\", \"Index: Nysveen, Mr. Johan Hansen<br>Observed: 6.24<br>Prediction: 9.07\", \"Index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Observed: 133.65<br>Prediction: 84.92\", \"Index: Denkoff, Mr. Mitto<br>Observed: 7.90<br>Prediction: 9.44\", \"Index: Burns, Miss. Elizabeth Margaret<br>Observed: 134.50<br>Prediction: 101.93\", \"Index: Dimic, Mr. Jovan<br>Observed: 8.66<br>Prediction: 9.07\", \"Index: del Carlo, Mr. Sebastiano<br>Observed: 27.72<br>Prediction: 24.72\", \"Index: Beavan, Mr. William Thomas<br>Observed: 8.05<br>Prediction: 9.01\", \"Index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Observed: 82.17<br>Prediction: 111.31\", \"Index: Widener, Mr. Harry Elkins<br>Observed: 211.50<br>Prediction: 122.54\", \"Index: Gustafsson, Mr. Karl Gideon<br>Observed: 7.78<br>Prediction: 9.01\", \"Index: Plotcharsky, Mr. Vasil<br>Observed: 7.90<br>Prediction: 9.44\", \"Index: Goodwin, Master. Sidney Leonard<br>Observed: 46.90<br>Prediction: 42.47\", \"Index: Sadlier, Mr. Matthew<br>Observed: 7.73<br>Prediction: 9.30\", \"Index: Gustafsson, Mr. Johan Birger<br>Observed: 7.92<br>Prediction: 19.24\", \"Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Observed: 16.70<br>Prediction: 18.57\", \"Index: Niskanen, Mr. Juha<br>Observed: 7.92<br>Prediction: 13.02\", \"Index: Minahan, Miss. Daisy E<br>Observed: 90.00<br>Prediction: 97.22\", \"Index: Matthews, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14\", \"Index: Charters, Mr. David<br>Observed: 7.73<br>Prediction: 9.01\", \"Index: Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Observed: 26.00<br>Prediction: 14.20\", \"Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Observed: 26.25<br>Prediction: 27.89\", \"Index: Johannesen-Bratthammer, Mr. Bernt<br>Observed: 8.11<br>Prediction: 12.55\", \"Index: Peuchen, Major. Arthur Godfrey<br>Observed: 30.50<br>Prediction: 45.07\", \"Index: Anderson, Mr. Harry<br>Observed: 26.55<br>Prediction: 39.01\", \"Index: Milling, Mr. Jacob Christian<br>Observed: 13.00<br>Prediction: 14.20\", \"Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Observed: 27.75<br>Prediction: 29.99\", \"Index: Karlsson, Mr. Nils August<br>Observed: 7.52<br>Prediction: 9.01\", \"Index: Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Observed: 0.00<br>Prediction: 13.26\", \"Index: Bishop, Mr. Dickinson H<br>Observed: 91.08<br>Prediction: 146.18\", \"Index: Windelov, Mr. Einar<br>Observed: 7.25<br>Prediction: 9.01\", \"Index: Shellard, Mr. Frederick William<br>Observed: 15.10<br>Prediction: 9.44\", \"Index: Svensson, Mr. Olof<br>Observed: 7.80<br>Prediction: 9.01\", \"Index: O'Sullivan, Miss. Bridget Mary<br>Observed: 7.63<br>Prediction: 9.30\", \"Index: Laitinen, Miss. Kristina Sofia<br>Observed: 9.59<br>Prediction: 9.07\", \"Index: Penasco y Castellana, Mr. Victor de Satode<br>Observed: 108.90<br>Prediction: 77.01\", \"Index: Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Observed: 26.55<br>Prediction: 46.34\", \"Index: Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Observed: 26.00<br>Prediction: 24.73\", \"Index: Kassem, Mr. Fared<br>Observed: 7.23<br>Prediction: 9.30\", \"Index: Cacic, Miss. Marija<br>Observed: 8.66<br>Prediction: 9.09\", \"Index: Hart, Miss. Eva Miriam<br>Observed: 26.25<br>Prediction: 25.60\", \"Index: Butt, Major. Archibald Willingham<br>Observed: 26.55<br>Prediction: 35.44\", \"Index: Beane, Mr. Edward<br>Observed: 26.00<br>Prediction: 25.23\", \"Index: Goldsmith, Mr. Frank John<br>Observed: 20.52<br>Prediction: 19.61\", \"Index: Ohman, Miss. Velin<br>Observed: 7.78<br>Prediction: 11.60\", \"Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Observed: 79.65<br>Prediction: 96.58\", \"Index: Morrow, Mr. Thomas Rowan<br>Observed: 7.75<br>Prediction: 9.30\", \"Index: Harris, Mr. George<br>Observed: 10.50<br>Prediction: 15.21\", \"Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Observed: 51.48<br>Prediction: 107.98\", \"Index: Patchett, Mr. George<br>Observed: 14.50<br>Prediction: 9.01\", \"Index: Ross, Mr. John Hugo<br>Observed: 40.12<br>Prediction: 82.43\", \"Index: Murdlin, Mr. Joseph<br>Observed: 8.05<br>Prediction: 9.44\", \"Index: Bourke, Miss. Mary<br>Observed: 7.75<br>Prediction: 19.99\", \"Index: Boulos, Mr. Hanna<br>Observed: 7.22<br>Prediction: 9.30\", \"Index: Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Observed: 56.93<br>Prediction: 74.41\", \"Index: Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Observed: 26.55<br>Prediction: 132.87\", \"Index: Lindell, Mr. Edvard Bengtsson<br>Observed: 15.55<br>Prediction: 13.06\", \"Index: Daniel, Mr. Robert Williams<br>Observed: 30.50<br>Prediction: 44.05\", \"Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Observed: 41.58<br>Prediction: 30.66\", \"Index: Shutes, Miss. Elizabeth W<br>Observed: 153.46<br>Prediction: 78.64\", \"Index: Jardin, Mr. Jose Neto<br>Observed: 7.05<br>Prediction: 9.44\", \"Index: Horgan, Mr. John<br>Observed: 7.75<br>Prediction: 9.30\", \"Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Observed: 16.10<br>Prediction: 13.12\", \"Index: Yasbeck, Mr. Antoni<br>Observed: 14.45<br>Prediction: 13.12\", \"Index: Bostandyeff, Mr. Guentcho<br>Observed: 7.90<br>Prediction: 9.13\", \"Index: Lundahl, Mr. Johan Svensson<br>Observed: 7.05<br>Prediction: 9.07\", \"Index: Stahelin-Maeglin, Dr. Max<br>Observed: 30.50<br>Prediction: 167.14\", \"Index: Willey, Mr. Edward<br>Observed: 7.55<br>Prediction: 9.44\", \"Index: Stanley, Miss. Amy Zillah Elsie<br>Observed: 7.55<br>Prediction: 11.60\", \"Index: Hegarty, Miss. Hanora \\\"Nora\\\"<br>Observed: 6.75<br>Prediction: 9.01\", \"Index: Eitemiller, Mr. George Floyd<br>Observed: 13.00<br>Prediction: 14.14\", \"Index: Colley, Mr. Edward Pomeroy<br>Observed: 25.59<br>Prediction: 36.25\", \"Index: Coleff, Mr. Peju<br>Observed: 7.50<br>Prediction: 9.07\", \"Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Observed: 39.00<br>Prediction: 26.92\", \"Index: Davidson, Mr. Thornton<br>Observed: 52.00<br>Prediction: 46.49\", \"Index: Turja, Miss. Anna Sofia<br>Observed: 9.84<br>Prediction: 11.60\", \"Index: Hassab, Mr. Hammad<br>Observed: 76.73<br>Prediction: 61.45\", \"Index: Goodwin, Mr. Charles Edward<br>Observed: 46.90<br>Prediction: 42.47\", \"Index: Panula, Mr. Jaako Arnold<br>Observed: 39.69<br>Prediction: 27.31\", \"Index: Fischer, Mr. Eberhard Thelander<br>Observed: 7.80<br>Prediction: 9.01\", \"Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Observed: 7.65<br>Prediction: 9.07\", \"Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Observed: 227.53<br>Prediction: 90.87\", \"Index: Hansen, Mr. Henrik Juul<br>Observed: 7.85<br>Prediction: 13.12\", \"Index: Calderhead, Mr. Edward Pennington<br>Observed: 26.29<br>Prediction: 39.01\", \"Index: Klaber, Mr. Herman<br>Observed: 26.55<br>Prediction: 58.88\", \"Index: Taylor, Mr. Elmer Zebley<br>Observed: 52.00<br>Prediction: 59.95\", \"Index: Larsson, Mr. August Viktor<br>Observed: 9.48<br>Prediction: 9.09\", \"Index: Greenberg, Mr. Samuel<br>Observed: 13.00<br>Prediction: 14.20\", \"Index: Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Observed: 10.50<br>Prediction: 14.20\", \"Index: McEvoy, Mr. Michael<br>Observed: 15.50<br>Prediction: 9.30\", \"Index: Johnson, Mr. Malkolm Joackim<br>Observed: 7.78<br>Prediction: 9.16\", \"Index: Gillespie, Mr. William Henry<br>Observed: 13.00<br>Prediction: 14.14\", \"Index: Allen, Miss. Elisabeth Walton<br>Observed: 211.34<br>Prediction: 77.13\", \"Index: Berriman, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14\", \"Index: Troupiansky, Mr. Moses Aaron<br>Observed: 13.00<br>Prediction: 14.14\", \"Index: Williams, Mr. Leslie<br>Observed: 16.10<br>Prediction: 9.56\", \"Index: Ivanoff, Mr. Kanio<br>Observed: 7.90<br>Prediction: 9.44\", \"Index: McNamee, Mr. Neal<br>Observed: 16.10<br>Prediction: 13.12\", \"Index: Connaghton, Mr. Michael<br>Observed: 7.75<br>Prediction: 9.09\", \"Index: Carlsson, Mr. August Sigfrid<br>Observed: 7.80<br>Prediction: 9.56\", \"Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Observed: 86.50<br>Prediction: 76.42\", \"Index: Eklund, Mr. Hans Linus<br>Observed: 7.78<br>Prediction: 9.01\", \"Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Observed: 77.96<br>Prediction: 61.93\", \"Index: Moran, Mr. Daniel J<br>Observed: 24.15<br>Prediction: 13.77\", \"Index: Lievens, Mr. Rene Aime<br>Observed: 9.50<br>Prediction: 9.01\", \"Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Observed: 211.34<br>Prediction: 104.14\", \"Index: Ayoub, Miss. Banoura<br>Observed: 7.23<br>Prediction: 11.14\", \"Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Observed: 57.00<br>Prediction: 76.64\", \"Index: Johnston, Mr. Andrew G<br>Observed: 23.45<br>Prediction: 22.47\", \"Index: Ali, Mr. William<br>Observed: 7.05<br>Prediction: 9.01\", \"Index: Sjoblom, Miss. Anna Sofia<br>Observed: 7.50<br>Prediction: 11.60\", \"Index: Guggenheim, Mr. Benjamin<br>Observed: 79.20<br>Prediction: 120.52\", \"Index: Leader, Dr. Alice (Farnham)<br>Observed: 25.93<br>Prediction: 60.75\", \"Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Observed: 26.25<br>Prediction: 26.92\", \"Index: Carter, Master. William Thornton II<br>Observed: 120.00<br>Prediction: 151.12\", \"Index: Thomas, Master. Assad Alexander<br>Observed: 8.52<br>Prediction: 17.56\", \"Index: Johansson, Mr. Karl Johan<br>Observed: 7.78<br>Prediction: 9.09\", \"Index: Slemen, Mr. Richard James<br>Observed: 10.50<br>Prediction: 14.14\", \"Index: Tomlin, Mr. Ernest Portage<br>Observed: 8.05<br>Prediction: 9.09\", \"Index: McCormack, Mr. Thomas Joseph<br>Observed: 7.75<br>Prediction: 11.77\", \"Index: Richards, Master. George Sibley<br>Observed: 18.75<br>Prediction: 26.93\", \"Index: Mudd, Mr. Thomas Charles<br>Observed: 10.50<br>Prediction: 15.78\", \"Index: Lemberopolous, Mr. Peter L<br>Observed: 6.44<br>Prediction: 9.07\", \"Index: Sage, Mr. Douglas Bullen<br>Observed: 69.55<br>Prediction: 69.32\", \"Index: Boulos, Miss. Nourelain<br>Observed: 15.25<br>Prediction: 19.61\", \"Index: Aks, Mrs. Sam (Leah Rosen)<br>Observed: 9.35<br>Prediction: 17.75\", \"Index: Razi, Mr. Raihed<br>Observed: 7.23<br>Prediction: 9.30\", \"Index: Johnson, Master. Harold Theodor<br>Observed: 11.13<br>Prediction: 19.11\", \"Index: Carlsson, Mr. Frans Olof<br>Observed: 5.00<br>Prediction: 36.55\", \"Index: Gustafsson, Mr. Alfred Ossian<br>Observed: 9.85<br>Prediction: 9.01\", \"Index: Montvila, Rev. 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7.05, 7.0542, 7.225, 7.2292, 7.2292, 7.2292, 7.25, 7.25, 7.4958, 7.4958, 7.5208, 7.55, 7.55, 7.55, 7.6292, 7.65, 7.7292, 7.7333, 7.75, 7.75, 7.75, 7.75, 7.75, 7.75, 7.75, 7.75, 7.75, 7.775, 7.775, 7.775, 7.775, 7.775, 7.7958, 7.7958, 7.7958, 7.8542, 7.8542, 7.8542, 7.8542, 7.8542, 7.8792, 7.8958, 7.8958, 7.8958, 7.8958, 7.8958, 7.8958, 7.8958, 7.8958, 7.925, 7.925, 7.925, 7.925, 8.05, 8.05, 8.05, 8.05, 8.05, 8.05, 8.05, 8.05, 8.05, 8.05, 8.1125, 8.5167, 8.6625, 8.6625, 8.6625, 9.2167, 9.35, 9.4833, 9.5, 9.5, 9.5875, 9.825, 9.8417, 9.8458, 10.5, 10.5, 10.5, 10.5, 10.5, 10.5, 11.1333, 11.1333, 12.275, 12.525, 12.875, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 14.4542, 14.5, 15.1, 15.2458, 15.5, 15.55, 15.85, 16.1, 16.1, 16.1, 16.1, 16.7, 17.8, 18.75, 20.25, 20.525, 21.0, 21.075, 23.45, 24.15, 24.15, 25.5875, 25.9292, 26.0, 26.0, 26.0, 26.0, 26.0, 26.0, 26.25, 26.25, 26.25, 26.2875, 26.55, 26.55, 26.55, 26.55, 26.55, 26.55, 27.7208, 27.7208, 27.7208, 27.75, 27.9, 30.0708, 30.5, 30.5, 30.5, 31.0, 31.3875, 31.3875, 31.3875, 33.5, 34.375, 34.375, 39.0, 39.6875, 40.125, 41.5792, 46.9, 46.9, 50.0, 51.4792, 52.0, 52.0, 53.1, 55.0, 56.9292, 57.0, 61.175, 69.55, 69.55, 71.2833, 73.5, 76.7292, 77.2875, 77.9583, 77.9583, 79.2, 79.2, 79.65, 82.1708, 82.1708, 83.475, 86.5, 90.0, 91.0792, 91.0792, 108.9, 120.0, 133.65, 134.5, 153.4625, 211.3375, 211.3375, 211.5, 227.525]}],                        {\"hovermode\": \"closest\", \"plot_bgcolor\": \"#fff\", \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Predicted Fare vs Observed Fare\"}, \"xaxis\": {\"title\": {\"text\": \"Observed Fare ($)\"}}, \"yaxis\": {\"title\": {\"text\": \"Predicted Fare ($)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('2074a75d-8587-4e2b-b66f-9336f77f5f86');\n",
+       "var gd = document.getElementById('570fe44d-957e-49c4-8ead-adc1fd1c262e');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -118482,11 +80013,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 75,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:47:43.132570Z",
-     "start_time": "2020-10-12T08:47:43.115254Z"
+     "end_time": "2021-01-20T16:04:09.394490Z",
+     "start_time": "2021-01-20T16:04:09.375587Z"
     }
    },
    "outputs": [
@@ -118502,208 +80033,208 @@
          "mode": "markers",
          "name": "predicted Fare ($)",
          "text": [
-          "Index: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Actual: 71.28<br>Prediction: 115.74",
-          "Index: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Actual: 53.1<br>Prediction: 85.71",
-          "Index: Palsson, Master. Gosta Leonard<br>Actual: 21.08<br>Prediction: 27.59",
-          "Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Actual: 11.13<br>Prediction: 18.0",
-          "Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Actual: 30.07<br>Prediction: 22.78",
-          "Index: Saundercock, Mr. William Henry<br>Actual: 8.05<br>Prediction: 8.75",
-          "Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Actual: 7.85<br>Prediction: 9.69",
-          "Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Actual: 31.39<br>Prediction: 28.86",
-          "Index: Glynn, Miss. Mary Agatha<br>Actual: 7.75<br>Prediction: 10.71",
-          "Index: Meyer, Mr. Edgar Joseph<br>Actual: 82.17<br>Prediction: 75.17",
-          "Index: Kraeff, Mr. Theodor<br>Actual: 7.9<br>Prediction: 8.9",
-          "Index: Devaney, Miss. Margaret Delia<br>Actual: 7.88<br>Prediction: 10.34",
-          "Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Actual: 17.8<br>Prediction: 11.97",
-          "Index: Rugg, Miss. Emily<br>Actual: 10.5<br>Prediction: 13.72",
-          "Index: Harris, Mr. Henry Birkhardt<br>Actual: 83.48<br>Prediction: 67.48",
-          "Index: Skoog, Master. Harald<br>Actual: 27.9<br>Prediction: 30.03",
-          "Index: Kink, Mr. Vincenz<br>Actual: 8.66<br>Prediction: 18.66",
-          "Index: Hood, Mr. Ambrose Jr<br>Actual: 73.5<br>Prediction: 13.75",
-          "Index: Ilett, Miss. Bertha<br>Actual: 10.5<br>Prediction: 14.94",
-          "Index: Ford, Mr. William Neal<br>Actual: 34.38<br>Prediction: 27.46",
-          "Index: Christmann, Mr. Emil<br>Actual: 8.05<br>Prediction: 8.94",
-          "Index: Andreasson, Mr. Paul Edvin<br>Actual: 7.85<br>Prediction: 8.75",
-          "Index: Chaffee, Mr. Herbert Fuller<br>Actual: 61.18<br>Prediction: 58.4",
-          "Index: Petroff, Mr. Pastcho (\"Pentcho\")<br>Actual: 7.9<br>Prediction: 9.65",
-          "Index: White, Mr. Richard Frasar<br>Actual: 77.29<br>Prediction: 84.89",
-          "Index: Rekic, Mr. Tido<br>Actual: 7.9<br>Prediction: 8.89",
-          "Index: Moran, Miss. Bertha<br>Actual: 24.15<br>Prediction: 13.89",
-          "Index: Barton, Mr. David John<br>Actual: 8.05<br>Prediction: 8.75",
-          "Index: Jussila, Miss. Katriina<br>Actual: 9.82<br>Prediction: 11.97",
-          "Index: Pekoniemi, Mr. Edvard<br>Actual: 7.92<br>Prediction: 8.75",
-          "Index: Turpin, Mr. William John Robert<br>Actual: 21.0<br>Prediction: 24.75",
-          "Index: Moore, Mr. Leonard Charles<br>Actual: 8.05<br>Prediction: 9.65",
-          "Index: Osen, Mr. Olaf Elon<br>Actual: 9.22<br>Prediction: 8.85",
-          "Index: Ford, Miss. Robina Maggie \"Ruby\"<br>Actual: 34.38<br>Prediction: 27.59",
-          "Index: Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Actual: 26.0<br>Prediction: 30.67",
-          "Index: Bateman, Rev. Robert James<br>Actual: 12.52<br>Prediction: 14.29",
-          "Index: Meo, Mr. Alfonzo<br>Actual: 8.05<br>Prediction: 8.89",
-          "Index: Cribb, Mr. John Hatfield<br>Actual: 16.1<br>Prediction: 11.93",
-          "Index: Chibnall, Mrs. (Edith Martha Bowerman)<br>Actual: 55.0<br>Prediction: 93.29",
-          "Index: Van der hoef, Mr. Wyckoff<br>Actual: 33.5<br>Prediction: 40.87",
-          "Index: Sivola, Mr. Antti Wilhelm<br>Actual: 7.92<br>Prediction: 8.75",
-          "Index: Klasen, Mr. Klas Albin<br>Actual: 7.85<br>Prediction: 18.0",
-          "Index: Rood, Mr. Hugh Roscoe<br>Actual: 50.0<br>Prediction: 40.55",
-          "Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Actual: 7.85<br>Prediction: 11.9",
-          "Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Actual: 27.72<br>Prediction: 134.65",
-          "Index: Vande Walle, Mr. Nestor Cyriel<br>Actual: 9.5<br>Prediction: 9.03",
-          "Index: Backstrom, Mr. Karl Alfred<br>Actual: 15.85<br>Prediction: 11.89",
-          "Index: Blank, Mr. Henry<br>Actual: 31.0<br>Prediction: 82.07",
-          "Index: Ali, Mr. Ahmed<br>Actual: 7.05<br>Prediction: 8.75",
-          "Index: Green, Mr. George Henry<br>Actual: 8.05<br>Prediction: 8.89",
-          "Index: Nenkoff, Mr. Christo<br>Actual: 7.9<br>Prediction: 9.65",
-          "Index: Asplund, Miss. Lillian Gertrud<br>Actual: 31.39<br>Prediction: 29.14",
-          "Index: Harknett, Miss. Alice Phoebe<br>Actual: 7.55<br>Prediction: 9.65",
-          "Index: Hunt, Mr. George Henry<br>Actual: 12.28<br>Prediction: 13.97",
-          "Index: Reed, Mr. James George<br>Actual: 7.25<br>Prediction: 9.65",
-          "Index: Stead, Mr. William Thomas<br>Actual: 26.55<br>Prediction: 43.47",
-          "Index: Thorne, Mrs. Gertrude Maybelle<br>Actual: 79.2<br>Prediction: 101.1",
-          "Index: Parrish, Mrs. (Lutie Davis)<br>Actual: 26.0<br>Prediction: 24.6",
-          "Index: Smith, Mr. Thomas<br>Actual: 7.75<br>Prediction: 8.9",
-          "Index: Asplund, Master. Edvin Rojj Felix<br>Actual: 31.39<br>Prediction: 29.14",
-          "Index: Healy, Miss. Hanora \"Nora\"<br>Actual: 7.75<br>Prediction: 10.71",
-          "Index: Andrews, Miss. Kornelia Theodosia<br>Actual: 77.96<br>Prediction: 71.44",
-          "Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Actual: 20.25<br>Prediction: 18.0",
-          "Index: Smith, Mr. Richard William<br>Actual: 26.0<br>Prediction: 40.55",
-          "Index: Connolly, Miss. Kate<br>Actual: 7.75<br>Prediction: 10.34",
-          "Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Actual: 91.08<br>Prediction: 110.98",
-          "Index: Levy, Mr. Rene Jacques<br>Actual: 12.88<br>Prediction: 14.17",
-          "Index: Lewy, Mr. Ervin G<br>Actual: 27.72<br>Prediction: 62.14",
-          "Index: Williams, Mr. Howard Hugh \"Harry\"<br>Actual: 8.05<br>Prediction: 9.65",
-          "Index: Sage, Mr. George John Jr<br>Actual: 69.55<br>Prediction: 68.73",
-          "Index: Nysveen, Mr. Johan Hansen<br>Actual: 6.24<br>Prediction: 8.89",
-          "Index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Actual: 133.65<br>Prediction: 87.49",
-          "Index: Denkoff, Mr. Mitto<br>Actual: 7.9<br>Prediction: 9.65",
-          "Index: Burns, Miss. Elizabeth Margaret<br>Actual: 134.5<br>Prediction: 112.92",
-          "Index: Dimic, Mr. Jovan<br>Actual: 8.66<br>Prediction: 8.89",
-          "Index: del Carlo, Mr. Sebastiano<br>Actual: 27.72<br>Prediction: 24.41",
-          "Index: Beavan, Mr. William Thomas<br>Actual: 8.05<br>Prediction: 8.75",
-          "Index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Actual: 82.17<br>Prediction: 100.49",
-          "Index: Widener, Mr. Harry Elkins<br>Actual: 211.5<br>Prediction: 105.42",
-          "Index: Gustafsson, Mr. Karl Gideon<br>Actual: 7.78<br>Prediction: 8.75",
-          "Index: Plotcharsky, Mr. Vasil<br>Actual: 7.9<br>Prediction: 9.65",
-          "Index: Goodwin, Master. Sidney Leonard<br>Actual: 46.9<br>Prediction: 45.35",
-          "Index: Sadlier, Mr. Matthew<br>Actual: 7.73<br>Prediction: 8.9",
-          "Index: Gustafsson, Mr. Johan Birger<br>Actual: 7.92<br>Prediction: 18.66",
-          "Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Actual: 16.7<br>Prediction: 18.0",
-          "Index: Niskanen, Mr. Juha<br>Actual: 7.92<br>Prediction: 14.11",
-          "Index: Minahan, Miss. Daisy E<br>Actual: 90.0<br>Prediction: 92.35",
-          "Index: Matthews, Mr. William John<br>Actual: 13.0<br>Prediction: 13.97",
-          "Index: Charters, Mr. David<br>Actual: 7.73<br>Prediction: 8.7",
-          "Index: Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Actual: 26.0<br>Prediction: 13.72",
-          "Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Actual: 26.25<br>Prediction: 30.6",
-          "Index: Johannesen-Bratthammer, Mr. Bernt<br>Actual: 8.11<br>Prediction: 12.99",
-          "Index: Peuchen, Major. Arthur Godfrey<br>Actual: 30.5<br>Prediction: 45.79",
-          "Index: Anderson, Mr. Harry<br>Actual: 26.55<br>Prediction: 38.74",
-          "Index: Milling, Mr. Jacob Christian<br>Actual: 13.0<br>Prediction: 14.29",
-          "Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Actual: 27.75<br>Prediction: 31.37",
-          "Index: Karlsson, Mr. Nils August<br>Actual: 7.52<br>Prediction: 8.75",
-          "Index: Frost, Mr. Anthony Wood \"Archie\"<br>Actual: 0.0<br>Prediction: 11.22",
-          "Index: Bishop, Mr. Dickinson H<br>Actual: 91.08<br>Prediction: 147.49",
-          "Index: Windelov, Mr. Einar<br>Actual: 7.25<br>Prediction: 8.75",
-          "Index: Shellard, Mr. Frederick William<br>Actual: 15.1<br>Prediction: 9.65",
-          "Index: Svensson, Mr. Olof<br>Actual: 7.8<br>Prediction: 8.75",
-          "Index: O'Sullivan, Miss. Bridget Mary<br>Actual: 7.63<br>Prediction: 8.9",
-          "Index: Laitinen, Miss. Kristina Sofia<br>Actual: 9.59<br>Prediction: 8.89",
-          "Index: Penasco y Castellana, Mr. Victor de Satode<br>Actual: 108.9<br>Prediction: 79.23",
-          "Index: Bradley, Mr. George (\"George Arthur Brayton\")<br>Actual: 26.55<br>Prediction: 42.89",
-          "Index: Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Actual: 26.0<br>Prediction: 24.59",
-          "Index: Kassem, Mr. Fared<br>Actual: 7.23<br>Prediction: 8.9",
-          "Index: Cacic, Miss. Marija<br>Actual: 8.66<br>Prediction: 8.94",
-          "Index: Hart, Miss. Eva Miriam<br>Actual: 26.25<br>Prediction: 29.02",
-          "Index: Butt, Major. Archibald Willingham<br>Actual: 26.55<br>Prediction: 44.81",
-          "Index: Beane, Mr. Edward<br>Actual: 26.0<br>Prediction: 24.75",
-          "Index: Goldsmith, Mr. Frank John<br>Actual: 20.52<br>Prediction: 18.0",
-          "Index: Ohman, Miss. Velin<br>Actual: 7.78<br>Prediction: 10.69",
-          "Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Actual: 79.65<br>Prediction: 96.19",
-          "Index: Morrow, Mr. Thomas Rowan<br>Actual: 7.75<br>Prediction: 8.9",
-          "Index: Harris, Mr. George<br>Actual: 10.5<br>Prediction: 15.12",
-          "Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Actual: 51.48<br>Prediction: 93.26",
-          "Index: Patchett, Mr. George<br>Actual: 14.5<br>Prediction: 8.75",
-          "Index: Ross, Mr. John Hugo<br>Actual: 40.12<br>Prediction: 99.13",
-          "Index: Murdlin, Mr. Joseph<br>Actual: 8.05<br>Prediction: 9.65",
-          "Index: Bourke, Miss. Mary<br>Actual: 7.75<br>Prediction: 18.34",
-          "Index: Boulos, Mr. Hanna<br>Actual: 7.22<br>Prediction: 8.9",
-          "Index: Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Actual: 56.93<br>Prediction: 81.19",
-          "Index: Homer, Mr. Harry (\"Mr E Haven\")<br>Actual: 26.55<br>Prediction: 128.8",
-          "Index: Lindell, Mr. Edvard Bengtsson<br>Actual: 15.55<br>Prediction: 11.89",
-          "Index: Daniel, Mr. Robert Williams<br>Actual: 30.5<br>Prediction: 39.42",
-          "Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Actual: 41.58<br>Prediction: 30.4",
-          "Index: Shutes, Miss. Elizabeth W<br>Actual: 153.46<br>Prediction: 89.95",
-          "Index: Jardin, Mr. Jose Neto<br>Actual: 7.05<br>Prediction: 9.65",
-          "Index: Horgan, Mr. John<br>Actual: 7.75<br>Prediction: 8.9",
-          "Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Actual: 16.1<br>Prediction: 12.02",
-          "Index: Yasbeck, Mr. Antoni<br>Actual: 14.45<br>Prediction: 11.92",
-          "Index: Bostandyeff, Mr. Guentcho<br>Actual: 7.9<br>Prediction: 9.35",
-          "Index: Lundahl, Mr. Johan Svensson<br>Actual: 7.05<br>Prediction: 8.89",
-          "Index: Stahelin-Maeglin, Dr. Max<br>Actual: 30.5<br>Prediction: 154.37",
-          "Index: Willey, Mr. Edward<br>Actual: 7.55<br>Prediction: 9.65",
-          "Index: Stanley, Miss. Amy Zillah Elsie<br>Actual: 7.55<br>Prediction: 10.69",
-          "Index: Hegarty, Miss. Hanora \"Nora\"<br>Actual: 6.75<br>Prediction: 8.76",
-          "Index: Eitemiller, Mr. George Floyd<br>Actual: 13.0<br>Prediction: 13.75",
-          "Index: Colley, Mr. Edward Pomeroy<br>Actual: 25.59<br>Prediction: 35.25",
-          "Index: Coleff, Mr. Peju<br>Actual: 7.5<br>Prediction: 8.89",
-          "Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Actual: 39.0<br>Prediction: 30.33",
-          "Index: Davidson, Mr. Thornton<br>Actual: 52.0<br>Prediction: 58.02",
-          "Index: Turja, Miss. Anna Sofia<br>Actual: 9.84<br>Prediction: 10.74",
-          "Index: Hassab, Mr. Hammad<br>Actual: 76.73<br>Prediction: 65.84",
-          "Index: Goodwin, Mr. Charles Edward<br>Actual: 46.9<br>Prediction: 45.35",
-          "Index: Panula, Mr. Jaako Arnold<br>Actual: 39.69<br>Prediction: 30.03",
-          "Index: Fischer, Mr. Eberhard Thelander<br>Actual: 7.8<br>Prediction: 8.81",
-          "Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Actual: 7.65<br>Prediction: 8.89",
-          "Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Actual: 227.52<br>Prediction: 92.48",
-          "Index: Hansen, Mr. Henrik Juul<br>Actual: 7.85<br>Prediction: 11.92",
-          "Index: Calderhead, Mr. Edward Pennington<br>Actual: 26.29<br>Prediction: 38.74",
-          "Index: Klaber, Mr. Herman<br>Actual: 26.55<br>Prediction: 56.46",
-          "Index: Taylor, Mr. Elmer Zebley<br>Actual: 52.0<br>Prediction: 66.53",
-          "Index: Larsson, Mr. August Viktor<br>Actual: 9.48<br>Prediction: 8.94",
-          "Index: Greenberg, Mr. Samuel<br>Actual: 13.0<br>Prediction: 14.29",
-          "Index: Troutt, Miss. Edwina Celia \"Winnie\"<br>Actual: 10.5<br>Prediction: 13.94",
-          "Index: McEvoy, Mr. Michael<br>Actual: 15.5<br>Prediction: 8.9",
-          "Index: Johnson, Mr. Malkolm Joackim<br>Actual: 7.78<br>Prediction: 8.93",
-          "Index: Gillespie, Mr. William Henry<br>Actual: 13.0<br>Prediction: 13.97",
-          "Index: Allen, Miss. Elisabeth Walton<br>Actual: 211.34<br>Prediction: 77.57",
-          "Index: Berriman, Mr. William John<br>Actual: 13.0<br>Prediction: 13.75",
-          "Index: Troupiansky, Mr. Moses Aaron<br>Actual: 13.0<br>Prediction: 13.75",
-          "Index: Williams, Mr. Leslie<br>Actual: 16.1<br>Prediction: 9.03",
-          "Index: Ivanoff, Mr. Kanio<br>Actual: 7.9<br>Prediction: 9.65",
-          "Index: McNamee, Mr. Neal<br>Actual: 16.1<br>Prediction: 11.87",
-          "Index: Connaghton, Mr. Michael<br>Actual: 7.75<br>Prediction: 8.89",
-          "Index: Carlsson, Mr. August Sigfrid<br>Actual: 7.8<br>Prediction: 9.03",
-          "Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Actual: 86.5<br>Prediction: 83.69",
-          "Index: Eklund, Mr. Hans Linus<br>Actual: 7.78<br>Prediction: 8.85",
-          "Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Actual: 77.96<br>Prediction: 71.44",
-          "Index: Moran, Mr. Daniel J<br>Actual: 24.15<br>Prediction: 14.1",
-          "Index: Lievens, Mr. Rene Aime<br>Actual: 9.5<br>Prediction: 8.75",
-          "Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Actual: 211.34<br>Prediction: 113.43",
-          "Index: Ayoub, Miss. Banoura<br>Actual: 7.23<br>Prediction: 10.56",
-          "Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Actual: 57.0<br>Prediction: 81.34",
-          "Index: Johnston, Mr. Andrew G<br>Actual: 23.45<br>Prediction: 20.21",
-          "Index: Ali, Mr. William<br>Actual: 7.05<br>Prediction: 8.75",
-          "Index: Sjoblom, Miss. Anna Sofia<br>Actual: 7.5<br>Prediction: 10.74",
-          "Index: Guggenheim, Mr. Benjamin<br>Actual: 79.2<br>Prediction: 114.23",
-          "Index: Leader, Dr. Alice (Farnham)<br>Actual: 25.93<br>Prediction: 77.64",
-          "Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Actual: 26.25<br>Prediction: 29.85",
-          "Index: Carter, Master. William Thornton II<br>Actual: 120.0<br>Prediction: 121.63",
-          "Index: Thomas, Master. Assad Alexander<br>Actual: 8.52<br>Prediction: 12.37",
-          "Index: Johansson, Mr. Karl Johan<br>Actual: 7.78<br>Prediction: 8.94",
-          "Index: Slemen, Mr. Richard James<br>Actual: 10.5<br>Prediction: 14.17",
-          "Index: Tomlin, Mr. Ernest Portage<br>Actual: 8.05<br>Prediction: 8.94",
-          "Index: McCormack, Mr. Thomas Joseph<br>Actual: 7.75<br>Prediction: 11.94",
-          "Index: Richards, Master. George Sibley<br>Actual: 18.75<br>Prediction: 28.76",
-          "Index: Mudd, Mr. Thomas Charles<br>Actual: 10.5<br>Prediction: 15.11",
-          "Index: Lemberopolous, Mr. Peter L<br>Actual: 6.44<br>Prediction: 8.84",
-          "Index: Sage, Mr. Douglas Bullen<br>Actual: 69.55<br>Prediction: 68.73",
-          "Index: Boulos, Miss. Nourelain<br>Actual: 15.25<br>Prediction: 17.81",
-          "Index: Aks, Mrs. Sam (Leah Rosen)<br>Actual: 9.35<br>Prediction: 11.89",
-          "Index: Razi, Mr. Raihed<br>Actual: 7.23<br>Prediction: 8.9",
-          "Index: Johnson, Master. Harold Theodor<br>Actual: 11.13<br>Prediction: 18.08",
-          "Index: Carlsson, Mr. Frans Olof<br>Actual: 5.0<br>Prediction: 45.3",
-          "Index: Gustafsson, Mr. Alfred Ossian<br>Actual: 9.85<br>Prediction: 8.75",
-          "Index: Montvila, Rev. Juozas<br>Actual: 13.0<br>Prediction: 13.97"
-         ],
-         "type": "scatter",
+          "Index: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Observed: 71.28<br>Prediction: 111.90",
+          "Index: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Observed: 53.10<br>Prediction: 84.10",
+          "Index: Palsson, Master. Gosta Leonard<br>Observed: 21.07<br>Prediction: 24.37",
+          "Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Observed: 11.13<br>Prediction: 18.78",
+          "Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Observed: 30.07<br>Prediction: 24.13",
+          "Index: Saundercock, Mr. William Henry<br>Observed: 8.05<br>Prediction: 9.01",
+          "Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Observed: 7.85<br>Prediction: 9.29",
+          "Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Observed: 31.39<br>Prediction: 25.49",
+          "Index: Glynn, Miss. Mary Agatha<br>Observed: 7.75<br>Prediction: 11.46",
+          "Index: Meyer, Mr. Edgar Joseph<br>Observed: 82.17<br>Prediction: 69.22",
+          "Index: Kraeff, Mr. Theodor<br>Observed: 7.90<br>Prediction: 9.30",
+          "Index: Devaney, Miss. Margaret Delia<br>Observed: 7.88<br>Prediction: 10.96",
+          "Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Observed: 17.80<br>Prediction: 13.12",
+          "Index: Rugg, Miss. Emily<br>Observed: 10.50<br>Prediction: 14.20",
+          "Index: Harris, Mr. Henry Birkhardt<br>Observed: 83.47<br>Prediction: 59.72",
+          "Index: Skoog, Master. Harald<br>Observed: 27.90<br>Prediction: 25.98",
+          "Index: Kink, Mr. Vincenz<br>Observed: 8.66<br>Prediction: 18.96",
+          "Index: Hood, Mr. Ambrose Jr<br>Observed: 73.50<br>Prediction: 14.14",
+          "Index: Ilett, Miss. Bertha<br>Observed: 10.50<br>Prediction: 15.84",
+          "Index: Ford, Mr. William Neal<br>Observed: 34.38<br>Prediction: 23.08",
+          "Index: Christmann, Mr. Emil<br>Observed: 8.05<br>Prediction: 9.09",
+          "Index: Andreasson, Mr. Paul Edvin<br>Observed: 7.85<br>Prediction: 9.01",
+          "Index: Chaffee, Mr. Herbert Fuller<br>Observed: 61.17<br>Prediction: 50.89",
+          "Index: Petroff, Mr. Pastcho (\"Pentcho\")<br>Observed: 7.90<br>Prediction: 9.44",
+          "Index: White, Mr. Richard Frasar<br>Observed: 77.29<br>Prediction: 88.47",
+          "Index: Rekic, Mr. Tido<br>Observed: 7.90<br>Prediction: 9.07",
+          "Index: Moran, Miss. Bertha<br>Observed: 24.15<br>Prediction: 14.56",
+          "Index: Barton, Mr. David John<br>Observed: 8.05<br>Prediction: 9.01",
+          "Index: Jussila, Miss. Katriina<br>Observed: 9.82<br>Prediction: 13.12",
+          "Index: Pekoniemi, Mr. Edvard<br>Observed: 7.92<br>Prediction: 9.01",
+          "Index: Turpin, Mr. William John Robert<br>Observed: 21.00<br>Prediction: 24.72",
+          "Index: Moore, Mr. Leonard Charles<br>Observed: 8.05<br>Prediction: 9.44",
+          "Index: Osen, Mr. Olaf Elon<br>Observed: 9.22<br>Prediction: 9.01",
+          "Index: Ford, Miss. Robina Maggie \"Ruby\"<br>Observed: 34.38<br>Prediction: 24.43",
+          "Index: Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Observed: 26.00<br>Prediction: 26.44",
+          "Index: Bateman, Rev. Robert James<br>Observed: 12.53<br>Prediction: 14.20",
+          "Index: Meo, Mr. Alfonzo<br>Observed: 8.05<br>Prediction: 9.07",
+          "Index: Cribb, Mr. John Hatfield<br>Observed: 16.10<br>Prediction: 18.64",
+          "Index: Chibnall, Mrs. (Edith Martha Bowerman)<br>Observed: 55.00<br>Prediction: 106.26",
+          "Index: Van der hoef, Mr. Wyckoff<br>Observed: 33.50<br>Prediction: 35.44",
+          "Index: Sivola, Mr. Antti Wilhelm<br>Observed: 7.92<br>Prediction: 9.01",
+          "Index: Klasen, Mr. Klas Albin<br>Observed: 7.85<br>Prediction: 19.61",
+          "Index: Rood, Mr. Hugh Roscoe<br>Observed: 50.00<br>Prediction: 39.90",
+          "Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Observed: 7.85<br>Prediction: 14.43",
+          "Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Observed: 27.72<br>Prediction: 135.58",
+          "Index: Vande Walle, Mr. Nestor Cyriel<br>Observed: 9.50<br>Prediction: 9.56",
+          "Index: Backstrom, Mr. Karl Alfred<br>Observed: 15.85<br>Prediction: 13.06",
+          "Index: Blank, Mr. Henry<br>Observed: 31.00<br>Prediction: 74.74",
+          "Index: Ali, Mr. Ahmed<br>Observed: 7.05<br>Prediction: 9.01",
+          "Index: Green, Mr. George Henry<br>Observed: 8.05<br>Prediction: 9.07",
+          "Index: Nenkoff, Mr. Christo<br>Observed: 7.90<br>Prediction: 9.44",
+          "Index: Asplund, Miss. Lillian Gertrud<br>Observed: 31.39<br>Prediction: 27.81",
+          "Index: Harknett, Miss. Alice Phoebe<br>Observed: 7.55<br>Prediction: 9.44",
+          "Index: Hunt, Mr. George Henry<br>Observed: 12.28<br>Prediction: 14.14",
+          "Index: Reed, Mr. James George<br>Observed: 7.25<br>Prediction: 9.44",
+          "Index: Stead, Mr. William Thomas<br>Observed: 26.55<br>Prediction: 44.84",
+          "Index: Thorne, Mrs. Gertrude Maybelle<br>Observed: 79.20<br>Prediction: 119.07",
+          "Index: Parrish, Mrs. (Lutie Davis)<br>Observed: 26.00<br>Prediction: 31.56",
+          "Index: Smith, Mr. Thomas<br>Observed: 7.75<br>Prediction: 9.30",
+          "Index: Asplund, Master. Edvin Rojj Felix<br>Observed: 31.39<br>Prediction: 28.09",
+          "Index: Healy, Miss. Hanora \"Nora\"<br>Observed: 7.75<br>Prediction: 11.46",
+          "Index: Andrews, Miss. Kornelia Theodosia<br>Observed: 77.96<br>Prediction: 61.94",
+          "Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Observed: 20.25<br>Prediction: 19.11",
+          "Index: Smith, Mr. Richard William<br>Observed: 26.00<br>Prediction: 39.90",
+          "Index: Connolly, Miss. Kate<br>Observed: 7.75<br>Prediction: 10.96",
+          "Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Observed: 91.08<br>Prediction: 107.12",
+          "Index: Levy, Mr. Rene Jacques<br>Observed: 12.88<br>Prediction: 14.14",
+          "Index: Lewy, Mr. Ervin G<br>Observed: 27.72<br>Prediction: 65.42",
+          "Index: Williams, Mr. Howard Hugh \"Harry\"<br>Observed: 8.05<br>Prediction: 9.44",
+          "Index: Sage, Mr. George John Jr<br>Observed: 69.55<br>Prediction: 69.32",
+          "Index: Nysveen, Mr. Johan Hansen<br>Observed: 6.24<br>Prediction: 9.07",
+          "Index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Observed: 133.65<br>Prediction: 84.92",
+          "Index: Denkoff, Mr. Mitto<br>Observed: 7.90<br>Prediction: 9.44",
+          "Index: Burns, Miss. Elizabeth Margaret<br>Observed: 134.50<br>Prediction: 101.93",
+          "Index: Dimic, Mr. Jovan<br>Observed: 8.66<br>Prediction: 9.07",
+          "Index: del Carlo, Mr. Sebastiano<br>Observed: 27.72<br>Prediction: 24.72",
+          "Index: Beavan, Mr. William Thomas<br>Observed: 8.05<br>Prediction: 9.01",
+          "Index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Observed: 82.17<br>Prediction: 111.31",
+          "Index: Widener, Mr. Harry Elkins<br>Observed: 211.50<br>Prediction: 122.54",
+          "Index: Gustafsson, Mr. Karl Gideon<br>Observed: 7.78<br>Prediction: 9.01",
+          "Index: Plotcharsky, Mr. Vasil<br>Observed: 7.90<br>Prediction: 9.44",
+          "Index: Goodwin, Master. Sidney Leonard<br>Observed: 46.90<br>Prediction: 42.47",
+          "Index: Sadlier, Mr. Matthew<br>Observed: 7.73<br>Prediction: 9.30",
+          "Index: Gustafsson, Mr. Johan Birger<br>Observed: 7.92<br>Prediction: 19.24",
+          "Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Observed: 16.70<br>Prediction: 18.57",
+          "Index: Niskanen, Mr. Juha<br>Observed: 7.92<br>Prediction: 13.02",
+          "Index: Minahan, Miss. Daisy E<br>Observed: 90.00<br>Prediction: 97.22",
+          "Index: Matthews, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14",
+          "Index: Charters, Mr. David<br>Observed: 7.73<br>Prediction: 9.01",
+          "Index: Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Observed: 26.00<br>Prediction: 14.20",
+          "Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Observed: 26.25<br>Prediction: 27.89",
+          "Index: Johannesen-Bratthammer, Mr. Bernt<br>Observed: 8.11<br>Prediction: 12.55",
+          "Index: Peuchen, Major. Arthur Godfrey<br>Observed: 30.50<br>Prediction: 45.07",
+          "Index: Anderson, Mr. Harry<br>Observed: 26.55<br>Prediction: 39.01",
+          "Index: Milling, Mr. Jacob Christian<br>Observed: 13.00<br>Prediction: 14.20",
+          "Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Observed: 27.75<br>Prediction: 29.99",
+          "Index: Karlsson, Mr. Nils August<br>Observed: 7.52<br>Prediction: 9.01",
+          "Index: Frost, Mr. Anthony Wood \"Archie\"<br>Observed: 0.00<br>Prediction: 13.26",
+          "Index: Bishop, Mr. Dickinson H<br>Observed: 91.08<br>Prediction: 146.18",
+          "Index: Windelov, Mr. Einar<br>Observed: 7.25<br>Prediction: 9.01",
+          "Index: Shellard, Mr. Frederick William<br>Observed: 15.10<br>Prediction: 9.44",
+          "Index: Svensson, Mr. Olof<br>Observed: 7.80<br>Prediction: 9.01",
+          "Index: O'Sullivan, Miss. Bridget Mary<br>Observed: 7.63<br>Prediction: 9.30",
+          "Index: Laitinen, Miss. Kristina Sofia<br>Observed: 9.59<br>Prediction: 9.07",
+          "Index: Penasco y Castellana, Mr. Victor de Satode<br>Observed: 108.90<br>Prediction: 77.01",
+          "Index: Bradley, Mr. George (\"George Arthur Brayton\")<br>Observed: 26.55<br>Prediction: 46.34",
+          "Index: Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Observed: 26.00<br>Prediction: 24.73",
+          "Index: Kassem, Mr. Fared<br>Observed: 7.23<br>Prediction: 9.30",
+          "Index: Cacic, Miss. Marija<br>Observed: 8.66<br>Prediction: 9.09",
+          "Index: Hart, Miss. Eva Miriam<br>Observed: 26.25<br>Prediction: 25.60",
+          "Index: Butt, Major. Archibald Willingham<br>Observed: 26.55<br>Prediction: 35.44",
+          "Index: Beane, Mr. Edward<br>Observed: 26.00<br>Prediction: 25.23",
+          "Index: Goldsmith, Mr. Frank John<br>Observed: 20.52<br>Prediction: 19.61",
+          "Index: Ohman, Miss. Velin<br>Observed: 7.78<br>Prediction: 11.60",
+          "Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Observed: 79.65<br>Prediction: 96.58",
+          "Index: Morrow, Mr. Thomas Rowan<br>Observed: 7.75<br>Prediction: 9.30",
+          "Index: Harris, Mr. George<br>Observed: 10.50<br>Prediction: 15.21",
+          "Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Observed: 51.48<br>Prediction: 107.98",
+          "Index: Patchett, Mr. George<br>Observed: 14.50<br>Prediction: 9.01",
+          "Index: Ross, Mr. John Hugo<br>Observed: 40.12<br>Prediction: 82.43",
+          "Index: Murdlin, Mr. Joseph<br>Observed: 8.05<br>Prediction: 9.44",
+          "Index: Bourke, Miss. Mary<br>Observed: 7.75<br>Prediction: 19.99",
+          "Index: Boulos, Mr. Hanna<br>Observed: 7.22<br>Prediction: 9.30",
+          "Index: Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Observed: 56.93<br>Prediction: 74.41",
+          "Index: Homer, Mr. Harry (\"Mr E Haven\")<br>Observed: 26.55<br>Prediction: 132.87",
+          "Index: Lindell, Mr. Edvard Bengtsson<br>Observed: 15.55<br>Prediction: 13.06",
+          "Index: Daniel, Mr. Robert Williams<br>Observed: 30.50<br>Prediction: 44.05",
+          "Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Observed: 41.58<br>Prediction: 30.66",
+          "Index: Shutes, Miss. Elizabeth W<br>Observed: 153.46<br>Prediction: 78.64",
+          "Index: Jardin, Mr. Jose Neto<br>Observed: 7.05<br>Prediction: 9.44",
+          "Index: Horgan, Mr. John<br>Observed: 7.75<br>Prediction: 9.30",
+          "Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Observed: 16.10<br>Prediction: 13.12",
+          "Index: Yasbeck, Mr. Antoni<br>Observed: 14.45<br>Prediction: 13.12",
+          "Index: Bostandyeff, Mr. Guentcho<br>Observed: 7.90<br>Prediction: 9.13",
+          "Index: Lundahl, Mr. Johan Svensson<br>Observed: 7.05<br>Prediction: 9.07",
+          "Index: Stahelin-Maeglin, Dr. Max<br>Observed: 30.50<br>Prediction: 167.14",
+          "Index: Willey, Mr. Edward<br>Observed: 7.55<br>Prediction: 9.44",
+          "Index: Stanley, Miss. Amy Zillah Elsie<br>Observed: 7.55<br>Prediction: 11.60",
+          "Index: Hegarty, Miss. Hanora \"Nora\"<br>Observed: 6.75<br>Prediction: 9.01",
+          "Index: Eitemiller, Mr. George Floyd<br>Observed: 13.00<br>Prediction: 14.14",
+          "Index: Colley, Mr. Edward Pomeroy<br>Observed: 25.59<br>Prediction: 36.25",
+          "Index: Coleff, Mr. Peju<br>Observed: 7.50<br>Prediction: 9.07",
+          "Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Observed: 39.00<br>Prediction: 26.92",
+          "Index: Davidson, Mr. Thornton<br>Observed: 52.00<br>Prediction: 46.49",
+          "Index: Turja, Miss. Anna Sofia<br>Observed: 9.84<br>Prediction: 11.60",
+          "Index: Hassab, Mr. Hammad<br>Observed: 76.73<br>Prediction: 61.45",
+          "Index: Goodwin, Mr. Charles Edward<br>Observed: 46.90<br>Prediction: 42.47",
+          "Index: Panula, Mr. Jaako Arnold<br>Observed: 39.69<br>Prediction: 27.31",
+          "Index: Fischer, Mr. Eberhard Thelander<br>Observed: 7.80<br>Prediction: 9.01",
+          "Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Observed: 7.65<br>Prediction: 9.07",
+          "Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Observed: 227.53<br>Prediction: 90.87",
+          "Index: Hansen, Mr. Henrik Juul<br>Observed: 7.85<br>Prediction: 13.12",
+          "Index: Calderhead, Mr. Edward Pennington<br>Observed: 26.29<br>Prediction: 39.01",
+          "Index: Klaber, Mr. Herman<br>Observed: 26.55<br>Prediction: 58.88",
+          "Index: Taylor, Mr. Elmer Zebley<br>Observed: 52.00<br>Prediction: 59.95",
+          "Index: Larsson, Mr. August Viktor<br>Observed: 9.48<br>Prediction: 9.09",
+          "Index: Greenberg, Mr. Samuel<br>Observed: 13.00<br>Prediction: 14.20",
+          "Index: Troutt, Miss. Edwina Celia \"Winnie\"<br>Observed: 10.50<br>Prediction: 14.20",
+          "Index: McEvoy, Mr. Michael<br>Observed: 15.50<br>Prediction: 9.30",
+          "Index: Johnson, Mr. Malkolm Joackim<br>Observed: 7.78<br>Prediction: 9.16",
+          "Index: Gillespie, Mr. William Henry<br>Observed: 13.00<br>Prediction: 14.14",
+          "Index: Allen, Miss. Elisabeth Walton<br>Observed: 211.34<br>Prediction: 77.13",
+          "Index: Berriman, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14",
+          "Index: Troupiansky, Mr. Moses Aaron<br>Observed: 13.00<br>Prediction: 14.14",
+          "Index: Williams, Mr. Leslie<br>Observed: 16.10<br>Prediction: 9.56",
+          "Index: Ivanoff, Mr. Kanio<br>Observed: 7.90<br>Prediction: 9.44",
+          "Index: McNamee, Mr. Neal<br>Observed: 16.10<br>Prediction: 13.12",
+          "Index: Connaghton, Mr. Michael<br>Observed: 7.75<br>Prediction: 9.09",
+          "Index: Carlsson, Mr. August Sigfrid<br>Observed: 7.80<br>Prediction: 9.56",
+          "Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Observed: 86.50<br>Prediction: 76.42",
+          "Index: Eklund, Mr. Hans Linus<br>Observed: 7.78<br>Prediction: 9.01",
+          "Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Observed: 77.96<br>Prediction: 61.93",
+          "Index: Moran, Mr. Daniel J<br>Observed: 24.15<br>Prediction: 13.77",
+          "Index: Lievens, Mr. Rene Aime<br>Observed: 9.50<br>Prediction: 9.01",
+          "Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Observed: 211.34<br>Prediction: 104.14",
+          "Index: Ayoub, Miss. Banoura<br>Observed: 7.23<br>Prediction: 11.14",
+          "Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Observed: 57.00<br>Prediction: 76.64",
+          "Index: Johnston, Mr. Andrew G<br>Observed: 23.45<br>Prediction: 22.47",
+          "Index: Ali, Mr. William<br>Observed: 7.05<br>Prediction: 9.01",
+          "Index: Sjoblom, Miss. Anna Sofia<br>Observed: 7.50<br>Prediction: 11.60",
+          "Index: Guggenheim, Mr. Benjamin<br>Observed: 79.20<br>Prediction: 120.52",
+          "Index: Leader, Dr. Alice (Farnham)<br>Observed: 25.93<br>Prediction: 60.75",
+          "Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Observed: 26.25<br>Prediction: 26.92",
+          "Index: Carter, Master. William Thornton II<br>Observed: 120.00<br>Prediction: 151.12",
+          "Index: Thomas, Master. Assad Alexander<br>Observed: 8.52<br>Prediction: 17.56",
+          "Index: Johansson, Mr. Karl Johan<br>Observed: 7.78<br>Prediction: 9.09",
+          "Index: Slemen, Mr. Richard James<br>Observed: 10.50<br>Prediction: 14.14",
+          "Index: Tomlin, Mr. Ernest Portage<br>Observed: 8.05<br>Prediction: 9.09",
+          "Index: McCormack, Mr. Thomas Joseph<br>Observed: 7.75<br>Prediction: 11.77",
+          "Index: Richards, Master. George Sibley<br>Observed: 18.75<br>Prediction: 26.93",
+          "Index: Mudd, Mr. Thomas Charles<br>Observed: 10.50<br>Prediction: 15.78",
+          "Index: Lemberopolous, Mr. Peter L<br>Observed: 6.44<br>Prediction: 9.07",
+          "Index: Sage, Mr. Douglas Bullen<br>Observed: 69.55<br>Prediction: 69.32",
+          "Index: Boulos, Miss. Nourelain<br>Observed: 15.25<br>Prediction: 19.61",
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+          "Index: Montvila, Rev. Juozas<br>Observed: 13.00<br>Prediction: 14.14"
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Alice Phoebe<br>Actual: 7.55<br>Prediction: 9.65\", \"Index: Hunt, Mr. George Henry<br>Actual: 12.28<br>Prediction: 13.97\", \"Index: Reed, Mr. James George<br>Actual: 7.25<br>Prediction: 9.65\", \"Index: Stead, Mr. William Thomas<br>Actual: 26.55<br>Prediction: 43.47\", \"Index: Thorne, Mrs. Gertrude Maybelle<br>Actual: 79.2<br>Prediction: 101.1\", \"Index: Parrish, Mrs. (Lutie Davis)<br>Actual: 26.0<br>Prediction: 24.6\", \"Index: Smith, Mr. Thomas<br>Actual: 7.75<br>Prediction: 8.9\", \"Index: Asplund, Master. Edvin Rojj Felix<br>Actual: 31.39<br>Prediction: 29.14\", \"Index: Healy, Miss. Hanora \\\"Nora\\\"<br>Actual: 7.75<br>Prediction: 10.71\", \"Index: Andrews, Miss. Kornelia Theodosia<br>Actual: 77.96<br>Prediction: 71.44\", \"Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Actual: 20.25<br>Prediction: 18.0\", \"Index: Smith, Mr. Richard William<br>Actual: 26.0<br>Prediction: 40.55\", \"Index: Connolly, Miss. Kate<br>Actual: 7.75<br>Prediction: 10.34\", \"Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Actual: 91.08<br>Prediction: 110.98\", \"Index: Levy, Mr. Rene Jacques<br>Actual: 12.88<br>Prediction: 14.17\", \"Index: Lewy, Mr. Ervin G<br>Actual: 27.72<br>Prediction: 62.14\", \"Index: Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Actual: 8.05<br>Prediction: 9.65\", \"Index: Sage, Mr. George John Jr<br>Actual: 69.55<br>Prediction: 68.73\", \"Index: Nysveen, Mr. Johan Hansen<br>Actual: 6.24<br>Prediction: 8.89\", \"Index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Actual: 133.65<br>Prediction: 87.49\", \"Index: Denkoff, Mr. Mitto<br>Actual: 7.9<br>Prediction: 9.65\", \"Index: Burns, Miss. Elizabeth Margaret<br>Actual: 134.5<br>Prediction: 112.92\", \"Index: Dimic, Mr. Jovan<br>Actual: 8.66<br>Prediction: 8.89\", \"Index: del Carlo, Mr. Sebastiano<br>Actual: 27.72<br>Prediction: 24.41\", \"Index: Beavan, Mr. William Thomas<br>Actual: 8.05<br>Prediction: 8.75\", \"Index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Actual: 82.17<br>Prediction: 100.49\", \"Index: Widener, Mr. Harry Elkins<br>Actual: 211.5<br>Prediction: 105.42\", \"Index: Gustafsson, Mr. Karl Gideon<br>Actual: 7.78<br>Prediction: 8.75\", \"Index: Plotcharsky, Mr. Vasil<br>Actual: 7.9<br>Prediction: 9.65\", \"Index: Goodwin, Master. Sidney Leonard<br>Actual: 46.9<br>Prediction: 45.35\", \"Index: Sadlier, Mr. Matthew<br>Actual: 7.73<br>Prediction: 8.9\", \"Index: Gustafsson, Mr. Johan Birger<br>Actual: 7.92<br>Prediction: 18.66\", \"Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Actual: 16.7<br>Prediction: 18.0\", \"Index: Niskanen, Mr. Juha<br>Actual: 7.92<br>Prediction: 14.11\", \"Index: Minahan, Miss. Daisy E<br>Actual: 90.0<br>Prediction: 92.35\", \"Index: Matthews, Mr. William John<br>Actual: 13.0<br>Prediction: 13.97\", \"Index: Charters, Mr. David<br>Actual: 7.73<br>Prediction: 8.7\", \"Index: Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Actual: 26.0<br>Prediction: 13.72\", \"Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Actual: 26.25<br>Prediction: 30.6\", \"Index: Johannesen-Bratthammer, Mr. Bernt<br>Actual: 8.11<br>Prediction: 12.99\", \"Index: Peuchen, Major. Arthur Godfrey<br>Actual: 30.5<br>Prediction: 45.79\", \"Index: Anderson, Mr. Harry<br>Actual: 26.55<br>Prediction: 38.74\", \"Index: Milling, Mr. Jacob Christian<br>Actual: 13.0<br>Prediction: 14.29\", \"Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Actual: 27.75<br>Prediction: 31.37\", \"Index: Karlsson, Mr. Nils August<br>Actual: 7.52<br>Prediction: 8.75\", \"Index: Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Actual: 0.0<br>Prediction: 11.22\", \"Index: Bishop, Mr. Dickinson H<br>Actual: 91.08<br>Prediction: 147.49\", \"Index: Windelov, Mr. Einar<br>Actual: 7.25<br>Prediction: 8.75\", \"Index: Shellard, Mr. Frederick William<br>Actual: 15.1<br>Prediction: 9.65\", \"Index: Svensson, Mr. Olof<br>Actual: 7.8<br>Prediction: 8.75\", \"Index: O'Sullivan, Miss. Bridget Mary<br>Actual: 7.63<br>Prediction: 8.9\", \"Index: Laitinen, Miss. Kristina Sofia<br>Actual: 9.59<br>Prediction: 8.89\", \"Index: Penasco y Castellana, Mr. Victor de Satode<br>Actual: 108.9<br>Prediction: 79.23\", \"Index: Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Actual: 26.55<br>Prediction: 42.89\", \"Index: Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Actual: 26.0<br>Prediction: 24.59\", \"Index: Kassem, Mr. Fared<br>Actual: 7.23<br>Prediction: 8.9\", \"Index: Cacic, Miss. Marija<br>Actual: 8.66<br>Prediction: 8.94\", \"Index: Hart, Miss. Eva Miriam<br>Actual: 26.25<br>Prediction: 29.02\", \"Index: Butt, Major. Archibald Willingham<br>Actual: 26.55<br>Prediction: 44.81\", \"Index: Beane, Mr. Edward<br>Actual: 26.0<br>Prediction: 24.75\", \"Index: Goldsmith, Mr. Frank John<br>Actual: 20.52<br>Prediction: 18.0\", \"Index: Ohman, Miss. Velin<br>Actual: 7.78<br>Prediction: 10.69\", \"Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Actual: 79.65<br>Prediction: 96.19\", \"Index: Morrow, Mr. Thomas Rowan<br>Actual: 7.75<br>Prediction: 8.9\", \"Index: Harris, Mr. George<br>Actual: 10.5<br>Prediction: 15.12\", \"Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Actual: 51.48<br>Prediction: 93.26\", \"Index: Patchett, Mr. George<br>Actual: 14.5<br>Prediction: 8.75\", \"Index: Ross, Mr. John Hugo<br>Actual: 40.12<br>Prediction: 99.13\", \"Index: Murdlin, Mr. Joseph<br>Actual: 8.05<br>Prediction: 9.65\", \"Index: Bourke, Miss. Mary<br>Actual: 7.75<br>Prediction: 18.34\", \"Index: Boulos, Mr. Hanna<br>Actual: 7.22<br>Prediction: 8.9\", \"Index: Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Actual: 56.93<br>Prediction: 81.19\", \"Index: Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Actual: 26.55<br>Prediction: 128.8\", \"Index: Lindell, Mr. Edvard Bengtsson<br>Actual: 15.55<br>Prediction: 11.89\", \"Index: Daniel, Mr. Robert Williams<br>Actual: 30.5<br>Prediction: 39.42\", \"Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Actual: 41.58<br>Prediction: 30.4\", \"Index: Shutes, Miss. Elizabeth W<br>Actual: 153.46<br>Prediction: 89.95\", \"Index: Jardin, Mr. Jose Neto<br>Actual: 7.05<br>Prediction: 9.65\", \"Index: Horgan, Mr. John<br>Actual: 7.75<br>Prediction: 8.9\", \"Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Actual: 16.1<br>Prediction: 12.02\", \"Index: Yasbeck, Mr. Antoni<br>Actual: 14.45<br>Prediction: 11.92\", \"Index: Bostandyeff, Mr. Guentcho<br>Actual: 7.9<br>Prediction: 9.35\", \"Index: Lundahl, Mr. Johan Svensson<br>Actual: 7.05<br>Prediction: 8.89\", \"Index: Stahelin-Maeglin, Dr. Max<br>Actual: 30.5<br>Prediction: 154.37\", \"Index: Willey, Mr. Edward<br>Actual: 7.55<br>Prediction: 9.65\", \"Index: Stanley, Miss. Amy Zillah Elsie<br>Actual: 7.55<br>Prediction: 10.69\", \"Index: Hegarty, Miss. Hanora \\\"Nora\\\"<br>Actual: 6.75<br>Prediction: 8.76\", \"Index: Eitemiller, Mr. George Floyd<br>Actual: 13.0<br>Prediction: 13.75\", \"Index: Colley, Mr. Edward Pomeroy<br>Actual: 25.59<br>Prediction: 35.25\", \"Index: Coleff, Mr. Peju<br>Actual: 7.5<br>Prediction: 8.89\", \"Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Actual: 39.0<br>Prediction: 30.33\", \"Index: Davidson, Mr. Thornton<br>Actual: 52.0<br>Prediction: 58.02\", \"Index: Turja, Miss. Anna Sofia<br>Actual: 9.84<br>Prediction: 10.74\", \"Index: Hassab, Mr. Hammad<br>Actual: 76.73<br>Prediction: 65.84\", \"Index: Goodwin, Mr. Charles Edward<br>Actual: 46.9<br>Prediction: 45.35\", \"Index: Panula, Mr. Jaako Arnold<br>Actual: 39.69<br>Prediction: 30.03\", \"Index: Fischer, Mr. Eberhard Thelander<br>Actual: 7.8<br>Prediction: 8.81\", \"Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Actual: 7.65<br>Prediction: 8.89\", \"Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Actual: 227.52<br>Prediction: 92.48\", \"Index: Hansen, Mr. Henrik Juul<br>Actual: 7.85<br>Prediction: 11.92\", \"Index: Calderhead, Mr. Edward Pennington<br>Actual: 26.29<br>Prediction: 38.74\", \"Index: Klaber, Mr. Herman<br>Actual: 26.55<br>Prediction: 56.46\", \"Index: Taylor, Mr. Elmer Zebley<br>Actual: 52.0<br>Prediction: 66.53\", \"Index: Larsson, Mr. August Viktor<br>Actual: 9.48<br>Prediction: 8.94\", \"Index: Greenberg, Mr. Samuel<br>Actual: 13.0<br>Prediction: 14.29\", \"Index: Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Actual: 10.5<br>Prediction: 13.94\", \"Index: McEvoy, Mr. Michael<br>Actual: 15.5<br>Prediction: 8.9\", \"Index: Johnson, Mr. Malkolm Joackim<br>Actual: 7.78<br>Prediction: 8.93\", \"Index: Gillespie, Mr. William Henry<br>Actual: 13.0<br>Prediction: 13.97\", \"Index: Allen, Miss. 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Banoura<br>Actual: 7.23<br>Prediction: 10.56\", \"Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Actual: 57.0<br>Prediction: 81.34\", \"Index: Johnston, Mr. Andrew G<br>Actual: 23.45<br>Prediction: 20.21\", \"Index: Ali, Mr. William<br>Actual: 7.05<br>Prediction: 8.75\", \"Index: Sjoblom, Miss. Anna Sofia<br>Actual: 7.5<br>Prediction: 10.74\", \"Index: Guggenheim, Mr. Benjamin<br>Actual: 79.2<br>Prediction: 114.23\", \"Index: Leader, Dr. Alice (Farnham)<br>Actual: 25.93<br>Prediction: 77.64\", \"Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Actual: 26.25<br>Prediction: 29.85\", \"Index: Carter, Master. William Thornton II<br>Actual: 120.0<br>Prediction: 121.63\", \"Index: Thomas, Master. 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+       "<div>                            <div id=\"b5c0af85-d55d-46b0-9683-fde68dd3247e\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"b5c0af85-d55d-46b0-9683-fde68dd3247e\")) {                    Plotly.newPlot(                        \"b5c0af85-d55d-46b0-9683-fde68dd3247e\",                        [{\"hoverinfo\": \"text\", \"mode\": \"markers\", \"name\": \"predicted Fare ($)\", \"text\": [\"Index: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Observed: 71.28<br>Prediction: 111.90\", \"Index: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Observed: 53.10<br>Prediction: 84.10\", \"Index: Palsson, Master. Gosta Leonard<br>Observed: 21.07<br>Prediction: 24.37\", \"Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Observed: 11.13<br>Prediction: 18.78\", \"Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Observed: 30.07<br>Prediction: 24.13\", \"Index: Saundercock, Mr. William Henry<br>Observed: 8.05<br>Prediction: 9.01\", \"Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Observed: 7.85<br>Prediction: 9.29\", \"Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Observed: 31.39<br>Prediction: 25.49\", \"Index: Glynn, Miss. Mary Agatha<br>Observed: 7.75<br>Prediction: 11.46\", \"Index: Meyer, Mr. Edgar Joseph<br>Observed: 82.17<br>Prediction: 69.22\", \"Index: Kraeff, Mr. Theodor<br>Observed: 7.90<br>Prediction: 9.30\", \"Index: Devaney, Miss. Margaret Delia<br>Observed: 7.88<br>Prediction: 10.96\", \"Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Observed: 17.80<br>Prediction: 13.12\", \"Index: Rugg, Miss. Emily<br>Observed: 10.50<br>Prediction: 14.20\", \"Index: Harris, Mr. Henry Birkhardt<br>Observed: 83.47<br>Prediction: 59.72\", \"Index: Skoog, Master. Harald<br>Observed: 27.90<br>Prediction: 25.98\", \"Index: Kink, Mr. Vincenz<br>Observed: 8.66<br>Prediction: 18.96\", \"Index: Hood, Mr. Ambrose Jr<br>Observed: 73.50<br>Prediction: 14.14\", \"Index: Ilett, Miss. Bertha<br>Observed: 10.50<br>Prediction: 15.84\", \"Index: Ford, Mr. William Neal<br>Observed: 34.38<br>Prediction: 23.08\", \"Index: Christmann, Mr. Emil<br>Observed: 8.05<br>Prediction: 9.09\", \"Index: Andreasson, Mr. Paul Edvin<br>Observed: 7.85<br>Prediction: 9.01\", \"Index: Chaffee, Mr. Herbert Fuller<br>Observed: 61.17<br>Prediction: 50.89\", \"Index: Petroff, Mr. Pastcho (\\\"Pentcho\\\")<br>Observed: 7.90<br>Prediction: 9.44\", \"Index: White, Mr. Richard Frasar<br>Observed: 77.29<br>Prediction: 88.47\", \"Index: Rekic, Mr. Tido<br>Observed: 7.90<br>Prediction: 9.07\", \"Index: Moran, Miss. Bertha<br>Observed: 24.15<br>Prediction: 14.56\", \"Index: Barton, Mr. David John<br>Observed: 8.05<br>Prediction: 9.01\", \"Index: Jussila, Miss. Katriina<br>Observed: 9.82<br>Prediction: 13.12\", \"Index: Pekoniemi, Mr. Edvard<br>Observed: 7.92<br>Prediction: 9.01\", \"Index: Turpin, Mr. William John Robert<br>Observed: 21.00<br>Prediction: 24.72\", \"Index: Moore, Mr. Leonard Charles<br>Observed: 8.05<br>Prediction: 9.44\", \"Index: Osen, Mr. Olaf Elon<br>Observed: 9.22<br>Prediction: 9.01\", \"Index: Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Observed: 34.38<br>Prediction: 24.43\", \"Index: Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Observed: 26.00<br>Prediction: 26.44\", \"Index: Bateman, Rev. Robert James<br>Observed: 12.53<br>Prediction: 14.20\", \"Index: Meo, Mr. Alfonzo<br>Observed: 8.05<br>Prediction: 9.07\", \"Index: Cribb, Mr. John Hatfield<br>Observed: 16.10<br>Prediction: 18.64\", \"Index: Chibnall, Mrs. (Edith Martha Bowerman)<br>Observed: 55.00<br>Prediction: 106.26\", \"Index: Van der hoef, Mr. Wyckoff<br>Observed: 33.50<br>Prediction: 35.44\", \"Index: Sivola, Mr. Antti Wilhelm<br>Observed: 7.92<br>Prediction: 9.01\", \"Index: Klasen, Mr. Klas Albin<br>Observed: 7.85<br>Prediction: 19.61\", \"Index: Rood, Mr. Hugh Roscoe<br>Observed: 50.00<br>Prediction: 39.90\", \"Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Observed: 7.85<br>Prediction: 14.43\", \"Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Observed: 27.72<br>Prediction: 135.58\", \"Index: Vande Walle, Mr. Nestor Cyriel<br>Observed: 9.50<br>Prediction: 9.56\", \"Index: Backstrom, Mr. Karl Alfred<br>Observed: 15.85<br>Prediction: 13.06\", \"Index: Blank, Mr. Henry<br>Observed: 31.00<br>Prediction: 74.74\", \"Index: Ali, Mr. Ahmed<br>Observed: 7.05<br>Prediction: 9.01\", \"Index: Green, Mr. George Henry<br>Observed: 8.05<br>Prediction: 9.07\", \"Index: Nenkoff, Mr. Christo<br>Observed: 7.90<br>Prediction: 9.44\", \"Index: Asplund, Miss. Lillian Gertrud<br>Observed: 31.39<br>Prediction: 27.81\", \"Index: Harknett, Miss. Alice Phoebe<br>Observed: 7.55<br>Prediction: 9.44\", \"Index: Hunt, Mr. George Henry<br>Observed: 12.28<br>Prediction: 14.14\", \"Index: Reed, Mr. James George<br>Observed: 7.25<br>Prediction: 9.44\", \"Index: Stead, Mr. William Thomas<br>Observed: 26.55<br>Prediction: 44.84\", \"Index: Thorne, Mrs. Gertrude Maybelle<br>Observed: 79.20<br>Prediction: 119.07\", \"Index: Parrish, Mrs. (Lutie Davis)<br>Observed: 26.00<br>Prediction: 31.56\", \"Index: Smith, Mr. Thomas<br>Observed: 7.75<br>Prediction: 9.30\", \"Index: Asplund, Master. Edvin Rojj Felix<br>Observed: 31.39<br>Prediction: 28.09\", \"Index: Healy, Miss. Hanora \\\"Nora\\\"<br>Observed: 7.75<br>Prediction: 11.46\", \"Index: Andrews, Miss. Kornelia Theodosia<br>Observed: 77.96<br>Prediction: 61.94\", \"Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Observed: 20.25<br>Prediction: 19.11\", \"Index: Smith, Mr. Richard William<br>Observed: 26.00<br>Prediction: 39.90\", \"Index: Connolly, Miss. Kate<br>Observed: 7.75<br>Prediction: 10.96\", \"Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Observed: 91.08<br>Prediction: 107.12\", \"Index: Levy, Mr. Rene Jacques<br>Observed: 12.88<br>Prediction: 14.14\", \"Index: Lewy, Mr. Ervin G<br>Observed: 27.72<br>Prediction: 65.42\", \"Index: Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Observed: 8.05<br>Prediction: 9.44\", \"Index: Sage, Mr. George John Jr<br>Observed: 69.55<br>Prediction: 69.32\", \"Index: Nysveen, Mr. Johan Hansen<br>Observed: 6.24<br>Prediction: 9.07\", \"Index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Observed: 133.65<br>Prediction: 84.92\", \"Index: Denkoff, Mr. Mitto<br>Observed: 7.90<br>Prediction: 9.44\", \"Index: Burns, Miss. Elizabeth Margaret<br>Observed: 134.50<br>Prediction: 101.93\", \"Index: Dimic, Mr. Jovan<br>Observed: 8.66<br>Prediction: 9.07\", \"Index: del Carlo, Mr. Sebastiano<br>Observed: 27.72<br>Prediction: 24.72\", \"Index: Beavan, Mr. William Thomas<br>Observed: 8.05<br>Prediction: 9.01\", \"Index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Observed: 82.17<br>Prediction: 111.31\", \"Index: Widener, Mr. Harry Elkins<br>Observed: 211.50<br>Prediction: 122.54\", \"Index: Gustafsson, Mr. Karl Gideon<br>Observed: 7.78<br>Prediction: 9.01\", \"Index: Plotcharsky, Mr. Vasil<br>Observed: 7.90<br>Prediction: 9.44\", \"Index: Goodwin, Master. Sidney Leonard<br>Observed: 46.90<br>Prediction: 42.47\", \"Index: Sadlier, Mr. Matthew<br>Observed: 7.73<br>Prediction: 9.30\", \"Index: Gustafsson, Mr. Johan Birger<br>Observed: 7.92<br>Prediction: 19.24\", \"Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Observed: 16.70<br>Prediction: 18.57\", \"Index: Niskanen, Mr. Juha<br>Observed: 7.92<br>Prediction: 13.02\", \"Index: Minahan, Miss. Daisy E<br>Observed: 90.00<br>Prediction: 97.22\", \"Index: Matthews, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14\", \"Index: Charters, Mr. David<br>Observed: 7.73<br>Prediction: 9.01\", \"Index: Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Observed: 26.00<br>Prediction: 14.20\", \"Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Observed: 26.25<br>Prediction: 27.89\", \"Index: Johannesen-Bratthammer, Mr. Bernt<br>Observed: 8.11<br>Prediction: 12.55\", \"Index: Peuchen, Major. Arthur Godfrey<br>Observed: 30.50<br>Prediction: 45.07\", \"Index: Anderson, Mr. Harry<br>Observed: 26.55<br>Prediction: 39.01\", \"Index: Milling, Mr. Jacob Christian<br>Observed: 13.00<br>Prediction: 14.20\", \"Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Observed: 27.75<br>Prediction: 29.99\", \"Index: Karlsson, Mr. Nils August<br>Observed: 7.52<br>Prediction: 9.01\", \"Index: Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Observed: 0.00<br>Prediction: 13.26\", \"Index: Bishop, Mr. Dickinson H<br>Observed: 91.08<br>Prediction: 146.18\", \"Index: Windelov, Mr. Einar<br>Observed: 7.25<br>Prediction: 9.01\", \"Index: Shellard, Mr. Frederick William<br>Observed: 15.10<br>Prediction: 9.44\", \"Index: Svensson, Mr. Olof<br>Observed: 7.80<br>Prediction: 9.01\", \"Index: O'Sullivan, Miss. Bridget Mary<br>Observed: 7.63<br>Prediction: 9.30\", \"Index: Laitinen, Miss. Kristina Sofia<br>Observed: 9.59<br>Prediction: 9.07\", \"Index: Penasco y Castellana, Mr. Victor de Satode<br>Observed: 108.90<br>Prediction: 77.01\", \"Index: Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Observed: 26.55<br>Prediction: 46.34\", \"Index: Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Observed: 26.00<br>Prediction: 24.73\", \"Index: Kassem, Mr. Fared<br>Observed: 7.23<br>Prediction: 9.30\", \"Index: Cacic, Miss. Marija<br>Observed: 8.66<br>Prediction: 9.09\", \"Index: Hart, Miss. Eva Miriam<br>Observed: 26.25<br>Prediction: 25.60\", \"Index: Butt, Major. Archibald Willingham<br>Observed: 26.55<br>Prediction: 35.44\", \"Index: Beane, Mr. Edward<br>Observed: 26.00<br>Prediction: 25.23\", \"Index: Goldsmith, Mr. Frank John<br>Observed: 20.52<br>Prediction: 19.61\", \"Index: Ohman, Miss. Velin<br>Observed: 7.78<br>Prediction: 11.60\", \"Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Observed: 79.65<br>Prediction: 96.58\", \"Index: Morrow, Mr. Thomas Rowan<br>Observed: 7.75<br>Prediction: 9.30\", \"Index: Harris, Mr. George<br>Observed: 10.50<br>Prediction: 15.21\", \"Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Observed: 51.48<br>Prediction: 107.98\", \"Index: Patchett, Mr. George<br>Observed: 14.50<br>Prediction: 9.01\", \"Index: Ross, Mr. John Hugo<br>Observed: 40.12<br>Prediction: 82.43\", \"Index: Murdlin, Mr. Joseph<br>Observed: 8.05<br>Prediction: 9.44\", \"Index: Bourke, Miss. Mary<br>Observed: 7.75<br>Prediction: 19.99\", \"Index: Boulos, Mr. Hanna<br>Observed: 7.22<br>Prediction: 9.30\", \"Index: Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Observed: 56.93<br>Prediction: 74.41\", \"Index: Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Observed: 26.55<br>Prediction: 132.87\", \"Index: Lindell, Mr. Edvard Bengtsson<br>Observed: 15.55<br>Prediction: 13.06\", \"Index: Daniel, Mr. Robert Williams<br>Observed: 30.50<br>Prediction: 44.05\", \"Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Observed: 41.58<br>Prediction: 30.66\", \"Index: Shutes, Miss. Elizabeth W<br>Observed: 153.46<br>Prediction: 78.64\", \"Index: Jardin, Mr. Jose Neto<br>Observed: 7.05<br>Prediction: 9.44\", \"Index: Horgan, Mr. John<br>Observed: 7.75<br>Prediction: 9.30\", \"Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Observed: 16.10<br>Prediction: 13.12\", \"Index: Yasbeck, Mr. Antoni<br>Observed: 14.45<br>Prediction: 13.12\", \"Index: Bostandyeff, Mr. Guentcho<br>Observed: 7.90<br>Prediction: 9.13\", \"Index: Lundahl, Mr. Johan Svensson<br>Observed: 7.05<br>Prediction: 9.07\", \"Index: Stahelin-Maeglin, Dr. Max<br>Observed: 30.50<br>Prediction: 167.14\", \"Index: Willey, Mr. Edward<br>Observed: 7.55<br>Prediction: 9.44\", \"Index: Stanley, Miss. Amy Zillah Elsie<br>Observed: 7.55<br>Prediction: 11.60\", \"Index: Hegarty, Miss. Hanora \\\"Nora\\\"<br>Observed: 6.75<br>Prediction: 9.01\", \"Index: Eitemiller, Mr. George Floyd<br>Observed: 13.00<br>Prediction: 14.14\", \"Index: Colley, Mr. Edward Pomeroy<br>Observed: 25.59<br>Prediction: 36.25\", \"Index: Coleff, Mr. Peju<br>Observed: 7.50<br>Prediction: 9.07\", \"Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Observed: 39.00<br>Prediction: 26.92\", \"Index: Davidson, Mr. Thornton<br>Observed: 52.00<br>Prediction: 46.49\", \"Index: Turja, Miss. Anna Sofia<br>Observed: 9.84<br>Prediction: 11.60\", \"Index: Hassab, Mr. Hammad<br>Observed: 76.73<br>Prediction: 61.45\", \"Index: Goodwin, Mr. Charles Edward<br>Observed: 46.90<br>Prediction: 42.47\", \"Index: Panula, Mr. Jaako Arnold<br>Observed: 39.69<br>Prediction: 27.31\", \"Index: Fischer, Mr. Eberhard Thelander<br>Observed: 7.80<br>Prediction: 9.01\", \"Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Observed: 7.65<br>Prediction: 9.07\", \"Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Observed: 227.53<br>Prediction: 90.87\", \"Index: Hansen, Mr. Henrik Juul<br>Observed: 7.85<br>Prediction: 13.12\", \"Index: Calderhead, Mr. Edward Pennington<br>Observed: 26.29<br>Prediction: 39.01\", \"Index: Klaber, Mr. Herman<br>Observed: 26.55<br>Prediction: 58.88\", \"Index: Taylor, Mr. Elmer Zebley<br>Observed: 52.00<br>Prediction: 59.95\", \"Index: Larsson, Mr. August Viktor<br>Observed: 9.48<br>Prediction: 9.09\", \"Index: Greenberg, Mr. Samuel<br>Observed: 13.00<br>Prediction: 14.20\", \"Index: Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Observed: 10.50<br>Prediction: 14.20\", \"Index: McEvoy, Mr. Michael<br>Observed: 15.50<br>Prediction: 9.30\", \"Index: Johnson, Mr. Malkolm Joackim<br>Observed: 7.78<br>Prediction: 9.16\", \"Index: Gillespie, Mr. William Henry<br>Observed: 13.00<br>Prediction: 14.14\", \"Index: Allen, Miss. Elisabeth Walton<br>Observed: 211.34<br>Prediction: 77.13\", \"Index: Berriman, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14\", \"Index: Troupiansky, Mr. Moses Aaron<br>Observed: 13.00<br>Prediction: 14.14\", \"Index: Williams, Mr. Leslie<br>Observed: 16.10<br>Prediction: 9.56\", \"Index: Ivanoff, Mr. Kanio<br>Observed: 7.90<br>Prediction: 9.44\", \"Index: McNamee, Mr. Neal<br>Observed: 16.10<br>Prediction: 13.12\", \"Index: Connaghton, Mr. Michael<br>Observed: 7.75<br>Prediction: 9.09\", \"Index: Carlsson, Mr. August Sigfrid<br>Observed: 7.80<br>Prediction: 9.56\", \"Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Observed: 86.50<br>Prediction: 76.42\", \"Index: Eklund, Mr. Hans Linus<br>Observed: 7.78<br>Prediction: 9.01\", \"Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Observed: 77.96<br>Prediction: 61.93\", \"Index: Moran, Mr. Daniel J<br>Observed: 24.15<br>Prediction: 13.77\", \"Index: Lievens, Mr. Rene Aime<br>Observed: 9.50<br>Prediction: 9.01\", \"Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Observed: 211.34<br>Prediction: 104.14\", \"Index: Ayoub, Miss. Banoura<br>Observed: 7.23<br>Prediction: 11.14\", \"Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Observed: 57.00<br>Prediction: 76.64\", \"Index: Johnston, Mr. Andrew G<br>Observed: 23.45<br>Prediction: 22.47\", \"Index: Ali, Mr. William<br>Observed: 7.05<br>Prediction: 9.01\", \"Index: Sjoblom, Miss. Anna Sofia<br>Observed: 7.50<br>Prediction: 11.60\", \"Index: Guggenheim, Mr. Benjamin<br>Observed: 79.20<br>Prediction: 120.52\", \"Index: Leader, Dr. Alice (Farnham)<br>Observed: 25.93<br>Prediction: 60.75\", \"Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Observed: 26.25<br>Prediction: 26.92\", \"Index: Carter, Master. William Thornton II<br>Observed: 120.00<br>Prediction: 151.12\", \"Index: Thomas, Master. Assad Alexander<br>Observed: 8.52<br>Prediction: 17.56\", \"Index: Johansson, Mr. Karl Johan<br>Observed: 7.78<br>Prediction: 9.09\", \"Index: Slemen, Mr. Richard James<br>Observed: 10.50<br>Prediction: 14.14\", \"Index: Tomlin, Mr. Ernest Portage<br>Observed: 8.05<br>Prediction: 9.09\", \"Index: McCormack, Mr. Thomas Joseph<br>Observed: 7.75<br>Prediction: 11.77\", \"Index: Richards, Master. George Sibley<br>Observed: 18.75<br>Prediction: 26.93\", \"Index: Mudd, Mr. Thomas Charles<br>Observed: 10.50<br>Prediction: 15.78\", \"Index: Lemberopolous, Mr. Peter L<br>Observed: 6.44<br>Prediction: 9.07\", \"Index: Sage, Mr. Douglas Bullen<br>Observed: 69.55<br>Prediction: 69.32\", \"Index: Boulos, Miss. Nourelain<br>Observed: 15.25<br>Prediction: 19.61\", \"Index: Aks, Mrs. Sam (Leah Rosen)<br>Observed: 9.35<br>Prediction: 17.75\", \"Index: Razi, Mr. Raihed<br>Observed: 7.23<br>Prediction: 9.30\", \"Index: Johnson, Master. Harold Theodor<br>Observed: 11.13<br>Prediction: 19.11\", \"Index: Carlsson, Mr. Frans Olof<br>Observed: 5.00<br>Prediction: 36.55\", \"Index: Gustafsson, Mr. Alfred Ossian<br>Observed: 9.85<br>Prediction: 9.01\", \"Index: Montvila, Rev. Juozas<br>Observed: 13.00<br>Prediction: 14.14\"], \"type\": \"scattergl\", \"x\": [71.2833, 53.1, 21.075, 11.1333, 30.0708, 8.05, 7.8542, 31.3875, 7.75, 82.1708, 7.8958, 7.8792, 17.8, 10.5, 83.475, 27.9, 8.6625, 73.5, 10.5, 34.375, 8.05, 7.8542, 61.175, 7.8958, 77.2875, 7.8958, 24.15, 8.05, 9.825, 7.925, 21.0, 8.05, 9.2167, 34.375, 26.0, 12.525, 8.05, 16.1, 55.0, 33.5, 7.925, 7.8542, 50.0, 7.8542, 27.7208, 9.5, 15.85, 31.0, 7.05, 8.05, 7.8958, 31.3875, 7.55, 12.275, 7.25, 26.55, 79.2, 26.0, 7.75, 31.3875, 7.75, 77.9583, 20.25, 26.0, 7.75, 91.0792, 12.875, 27.7208, 8.05, 69.55, 6.2375, 133.65, 7.8958, 134.5, 8.6625, 27.7208, 8.05, 82.1708, 211.5, 7.775, 7.8958, 46.9, 7.7292, 7.925, 16.7, 7.925, 90.0, 13.0, 7.7333, 26.0, 26.25, 8.1125, 30.5, 26.55, 13.0, 27.75, 7.5208, 0.0, 91.0792, 7.25, 15.1, 7.7958, 7.6292, 9.5875, 108.9, 26.55, 26.0, 7.2292, 8.6625, 26.25, 26.55, 26.0, 20.525, 7.775, 79.65, 7.75, 10.5, 51.4792, 14.5, 40.125, 8.05, 7.75, 7.225, 56.9292, 26.55, 15.55, 30.5, 41.5792, 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        "                            \n",
-       "var gd = document.getElementById('4822e6ac-bd50-40b7-bcce-93b2ddd06f40');\n",
+       "var gd = document.getElementById('b5c0af85-d55d-46b0-9683-fde68dd3247e');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -119594,11 +81125,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 76,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:47:44.808356Z",
-     "start_time": "2020-10-12T08:47:44.794511Z"
+     "end_time": "2021-01-20T16:04:12.293116Z",
+     "start_time": "2021-01-20T16:04:12.277074Z"
     }
    },
    "outputs": [
@@ -119614,819 +81145,819 @@
          "mode": "markers",
          "name": "residuals (y-preds)",
          "text": [
-          "Index: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Actual: 71.28<br>Prediction: 115.74<br>Residual: -44.46",
-          "Index: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Actual: 53.1<br>Prediction: 85.71<br>Residual: -32.61",
-          "Index: Palsson, Master. Gosta Leonard<br>Actual: 21.08<br>Prediction: 27.59<br>Residual: -6.51",
-          "Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Actual: 11.13<br>Prediction: 18.0<br>Residual: -6.87",
-          "Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Actual: 30.07<br>Prediction: 22.78<br>Residual: 7.29",
-          "Index: Saundercock, Mr. William Henry<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7",
-          "Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Actual: 7.85<br>Prediction: 9.69<br>Residual: -1.83",
-          "Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Actual: 31.39<br>Prediction: 28.86<br>Residual: 2.53",
-          "Index: Glynn, Miss. Mary Agatha<br>Actual: 7.75<br>Prediction: 10.71<br>Residual: -2.96",
-          "Index: Meyer, Mr. Edgar Joseph<br>Actual: 82.17<br>Prediction: 75.17<br>Residual: 7.0",
-          "Index: Kraeff, Mr. Theodor<br>Actual: 7.9<br>Prediction: 8.9<br>Residual: -1.01",
-          "Index: Devaney, Miss. Margaret Delia<br>Actual: 7.88<br>Prediction: 10.34<br>Residual: -2.46",
-          "Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Actual: 17.8<br>Prediction: 11.97<br>Residual: 5.83",
-          "Index: Rugg, Miss. Emily<br>Actual: 10.5<br>Prediction: 13.72<br>Residual: -3.22",
-          "Index: Harris, Mr. Henry Birkhardt<br>Actual: 83.48<br>Prediction: 67.48<br>Residual: 16.0",
-          "Index: Skoog, Master. Harald<br>Actual: 27.9<br>Prediction: 30.03<br>Residual: -2.13",
-          "Index: Kink, Mr. Vincenz<br>Actual: 8.66<br>Prediction: 18.66<br>Residual: -10.0",
-          "Index: Hood, Mr. Ambrose Jr<br>Actual: 73.5<br>Prediction: 13.75<br>Residual: 59.75",
-          "Index: Ilett, Miss. Bertha<br>Actual: 10.5<br>Prediction: 14.94<br>Residual: -4.44",
-          "Index: Ford, Mr. William Neal<br>Actual: 34.38<br>Prediction: 27.46<br>Residual: 6.91",
-          "Index: Christmann, Mr. Emil<br>Actual: 8.05<br>Prediction: 8.94<br>Residual: -0.89",
-          "Index: Andreasson, Mr. Paul Edvin<br>Actual: 7.85<br>Prediction: 8.75<br>Residual: -0.9",
-          "Index: Chaffee, Mr. Herbert Fuller<br>Actual: 61.18<br>Prediction: 58.4<br>Residual: 2.78",
-          "Index: Petroff, Mr. Pastcho (\"Pentcho\")<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76",
-          "Index: White, Mr. Richard Frasar<br>Actual: 77.29<br>Prediction: 84.89<br>Residual: -7.6",
-          "Index: Rekic, Mr. Tido<br>Actual: 7.9<br>Prediction: 8.89<br>Residual: -0.99",
-          "Index: Moran, Miss. Bertha<br>Actual: 24.15<br>Prediction: 13.89<br>Residual: 10.26",
-          "Index: Barton, Mr. David John<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7",
-          "Index: Jussila, Miss. Katriina<br>Actual: 9.82<br>Prediction: 11.97<br>Residual: -2.15",
-          "Index: Pekoniemi, Mr. Edvard<br>Actual: 7.92<br>Prediction: 8.75<br>Residual: -0.83",
-          "Index: Turpin, Mr. William John Robert<br>Actual: 21.0<br>Prediction: 24.75<br>Residual: -3.75",
-          "Index: Moore, Mr. Leonard Charles<br>Actual: 8.05<br>Prediction: 9.65<br>Residual: -1.6",
-          "Index: Osen, Mr. Olaf Elon<br>Actual: 9.22<br>Prediction: 8.85<br>Residual: 0.36",
-          "Index: Ford, Miss. Robina Maggie \"Ruby\"<br>Actual: 34.38<br>Prediction: 27.59<br>Residual: 6.79",
-          "Index: Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Actual: 26.0<br>Prediction: 30.67<br>Residual: -4.67",
-          "Index: Bateman, Rev. Robert James<br>Actual: 12.52<br>Prediction: 14.29<br>Residual: -1.77",
-          "Index: Meo, Mr. Alfonzo<br>Actual: 8.05<br>Prediction: 8.89<br>Residual: -0.84",
-          "Index: Cribb, Mr. John Hatfield<br>Actual: 16.1<br>Prediction: 11.93<br>Residual: 4.17",
-          "Index: Chibnall, Mrs. (Edith Martha Bowerman)<br>Actual: 55.0<br>Prediction: 93.29<br>Residual: -38.29",
-          "Index: Van der hoef, Mr. Wyckoff<br>Actual: 33.5<br>Prediction: 40.87<br>Residual: -7.37",
-          "Index: Sivola, Mr. Antti Wilhelm<br>Actual: 7.92<br>Prediction: 8.75<br>Residual: -0.83",
-          "Index: Klasen, Mr. Klas Albin<br>Actual: 7.85<br>Prediction: 18.0<br>Residual: -10.14",
-          "Index: Rood, Mr. Hugh Roscoe<br>Actual: 50.0<br>Prediction: 40.55<br>Residual: 9.45",
-          "Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Actual: 7.85<br>Prediction: 11.9<br>Residual: -4.04",
-          "Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Actual: 27.72<br>Prediction: 134.65<br>Residual: -106.93",
-          "Index: Vande Walle, Mr. Nestor Cyriel<br>Actual: 9.5<br>Prediction: 9.03<br>Residual: 0.47",
-          "Index: Backstrom, Mr. Karl Alfred<br>Actual: 15.85<br>Prediction: 11.89<br>Residual: 3.96",
-          "Index: Blank, Mr. Henry<br>Actual: 31.0<br>Prediction: 82.07<br>Residual: -51.07",
-          "Index: Ali, Mr. Ahmed<br>Actual: 7.05<br>Prediction: 8.75<br>Residual: -1.7",
-          "Index: Green, Mr. George Henry<br>Actual: 8.05<br>Prediction: 8.89<br>Residual: -0.84",
-          "Index: Nenkoff, Mr. Christo<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76",
-          "Index: Asplund, Miss. Lillian Gertrud<br>Actual: 31.39<br>Prediction: 29.14<br>Residual: 2.25",
-          "Index: Harknett, Miss. Alice Phoebe<br>Actual: 7.55<br>Prediction: 9.65<br>Residual: -2.1",
-          "Index: Hunt, Mr. George Henry<br>Actual: 12.28<br>Prediction: 13.97<br>Residual: -1.7",
-          "Index: Reed, Mr. James George<br>Actual: 7.25<br>Prediction: 9.65<br>Residual: -2.4",
-          "Index: Stead, Mr. William Thomas<br>Actual: 26.55<br>Prediction: 43.47<br>Residual: -16.92",
-          "Index: Thorne, Mrs. Gertrude Maybelle<br>Actual: 79.2<br>Prediction: 101.1<br>Residual: -21.9",
-          "Index: Parrish, Mrs. (Lutie Davis)<br>Actual: 26.0<br>Prediction: 24.6<br>Residual: 1.4",
-          "Index: Smith, Mr. Thomas<br>Actual: 7.75<br>Prediction: 8.9<br>Residual: -1.15",
-          "Index: Asplund, Master. Edvin Rojj Felix<br>Actual: 31.39<br>Prediction: 29.14<br>Residual: 2.25",
-          "Index: Healy, Miss. Hanora \"Nora\"<br>Actual: 7.75<br>Prediction: 10.71<br>Residual: -2.96",
-          "Index: Andrews, Miss. Kornelia Theodosia<br>Actual: 77.96<br>Prediction: 71.44<br>Residual: 6.52",
-          "Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Actual: 20.25<br>Prediction: 18.0<br>Residual: 2.25",
-          "Index: Smith, Mr. Richard William<br>Actual: 26.0<br>Prediction: 40.55<br>Residual: -14.55",
-          "Index: Connolly, Miss. Kate<br>Actual: 7.75<br>Prediction: 10.34<br>Residual: -2.59",
-          "Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Actual: 91.08<br>Prediction: 110.98<br>Residual: -19.9",
-          "Index: Levy, Mr. Rene Jacques<br>Actual: 12.88<br>Prediction: 14.17<br>Residual: -1.3",
-          "Index: Lewy, Mr. Ervin G<br>Actual: 27.72<br>Prediction: 62.14<br>Residual: -34.41",
-          "Index: Williams, Mr. Howard Hugh \"Harry\"<br>Actual: 8.05<br>Prediction: 9.65<br>Residual: -1.6",
-          "Index: Sage, Mr. George John Jr<br>Actual: 69.55<br>Prediction: 68.73<br>Residual: 0.82",
-          "Index: Nysveen, Mr. Johan Hansen<br>Actual: 6.24<br>Prediction: 8.89<br>Residual: -2.65",
-          "Index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Actual: 133.65<br>Prediction: 87.49<br>Residual: 46.16",
-          "Index: Denkoff, Mr. Mitto<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76",
-          "Index: Burns, Miss. Elizabeth Margaret<br>Actual: 134.5<br>Prediction: 112.92<br>Residual: 21.58",
-          "Index: Dimic, Mr. Jovan<br>Actual: 8.66<br>Prediction: 8.89<br>Residual: -0.23",
-          "Index: del Carlo, Mr. Sebastiano<br>Actual: 27.72<br>Prediction: 24.41<br>Residual: 3.31",
-          "Index: Beavan, Mr. William Thomas<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7",
-          "Index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Actual: 82.17<br>Prediction: 100.49<br>Residual: -18.32",
-          "Index: Widener, Mr. Harry Elkins<br>Actual: 211.5<br>Prediction: 105.42<br>Residual: 106.08",
-          "Index: Gustafsson, Mr. Karl Gideon<br>Actual: 7.78<br>Prediction: 8.75<br>Residual: -0.98",
-          "Index: Plotcharsky, Mr. Vasil<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76",
-          "Index: Goodwin, Master. Sidney Leonard<br>Actual: 46.9<br>Prediction: 45.35<br>Residual: 1.55",
-          "Index: Sadlier, Mr. Matthew<br>Actual: 7.73<br>Prediction: 8.9<br>Residual: -1.17",
-          "Index: Gustafsson, Mr. Johan Birger<br>Actual: 7.92<br>Prediction: 18.66<br>Residual: -10.74",
-          "Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Actual: 16.7<br>Prediction: 18.0<br>Residual: -1.3",
-          "Index: Niskanen, Mr. Juha<br>Actual: 7.92<br>Prediction: 14.11<br>Residual: -6.18",
-          "Index: Minahan, Miss. Daisy E<br>Actual: 90.0<br>Prediction: 92.35<br>Residual: -2.35",
-          "Index: Matthews, Mr. William John<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97",
-          "Index: Charters, Mr. David<br>Actual: 7.73<br>Prediction: 8.7<br>Residual: -0.97",
-          "Index: Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Actual: 26.0<br>Prediction: 13.72<br>Residual: 12.28",
-          "Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Actual: 26.25<br>Prediction: 30.6<br>Residual: -4.35",
-          "Index: Johannesen-Bratthammer, Mr. Bernt<br>Actual: 8.11<br>Prediction: 12.99<br>Residual: -4.87",
-          "Index: Peuchen, Major. Arthur Godfrey<br>Actual: 30.5<br>Prediction: 45.79<br>Residual: -15.29",
-          "Index: Anderson, Mr. Harry<br>Actual: 26.55<br>Prediction: 38.74<br>Residual: -12.19",
-          "Index: Milling, Mr. Jacob Christian<br>Actual: 13.0<br>Prediction: 14.29<br>Residual: -1.29",
-          "Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Actual: 27.75<br>Prediction: 31.37<br>Residual: -3.62",
-          "Index: Karlsson, Mr. Nils August<br>Actual: 7.52<br>Prediction: 8.75<br>Residual: -1.23",
-          "Index: Frost, Mr. Anthony Wood \"Archie\"<br>Actual: 0.0<br>Prediction: 11.22<br>Residual: -11.22",
-          "Index: Bishop, Mr. Dickinson H<br>Actual: 91.08<br>Prediction: 147.49<br>Residual: -56.41",
-          "Index: Windelov, Mr. Einar<br>Actual: 7.25<br>Prediction: 8.75<br>Residual: -1.5",
-          "Index: Shellard, Mr. Frederick William<br>Actual: 15.1<br>Prediction: 9.65<br>Residual: 5.45",
-          "Index: Svensson, Mr. Olof<br>Actual: 7.8<br>Prediction: 8.75<br>Residual: -0.96",
-          "Index: O'Sullivan, Miss. Bridget Mary<br>Actual: 7.63<br>Prediction: 8.9<br>Residual: -1.27",
-          "Index: Laitinen, Miss. Kristina Sofia<br>Actual: 9.59<br>Prediction: 8.89<br>Residual: 0.7",
-          "Index: Penasco y Castellana, Mr. Victor de Satode<br>Actual: 108.9<br>Prediction: 79.23<br>Residual: 29.67",
-          "Index: Bradley, Mr. George (\"George Arthur Brayton\")<br>Actual: 26.55<br>Prediction: 42.89<br>Residual: -16.34",
-          "Index: Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Actual: 26.0<br>Prediction: 24.59<br>Residual: 1.41",
-          "Index: Kassem, Mr. Fared<br>Actual: 7.23<br>Prediction: 8.9<br>Residual: -1.67",
-          "Index: Cacic, Miss. Marija<br>Actual: 8.66<br>Prediction: 8.94<br>Residual: -0.28",
-          "Index: Hart, Miss. Eva Miriam<br>Actual: 26.25<br>Prediction: 29.02<br>Residual: -2.77",
-          "Index: Butt, Major. Archibald Willingham<br>Actual: 26.55<br>Prediction: 44.81<br>Residual: -18.26",
-          "Index: Beane, Mr. Edward<br>Actual: 26.0<br>Prediction: 24.75<br>Residual: 1.25",
-          "Index: Goldsmith, Mr. Frank John<br>Actual: 20.52<br>Prediction: 18.0<br>Residual: 2.53",
-          "Index: Ohman, Miss. Velin<br>Actual: 7.78<br>Prediction: 10.69<br>Residual: -2.91",
-          "Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Actual: 79.65<br>Prediction: 96.19<br>Residual: -16.54",
-          "Index: Morrow, Mr. Thomas Rowan<br>Actual: 7.75<br>Prediction: 8.9<br>Residual: -1.15",
-          "Index: Harris, Mr. George<br>Actual: 10.5<br>Prediction: 15.12<br>Residual: -4.62",
-          "Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Actual: 51.48<br>Prediction: 93.26<br>Residual: -41.78",
-          "Index: Patchett, Mr. George<br>Actual: 14.5<br>Prediction: 8.75<br>Residual: 5.75",
-          "Index: Ross, Mr. John Hugo<br>Actual: 40.12<br>Prediction: 99.13<br>Residual: -59.01",
-          "Index: Murdlin, Mr. Joseph<br>Actual: 8.05<br>Prediction: 9.65<br>Residual: -1.6",
-          "Index: Bourke, Miss. Mary<br>Actual: 7.75<br>Prediction: 18.34<br>Residual: -10.59",
-          "Index: Boulos, Mr. Hanna<br>Actual: 7.22<br>Prediction: 8.9<br>Residual: -1.68",
-          "Index: Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Actual: 56.93<br>Prediction: 81.19<br>Residual: -24.26",
-          "Index: Homer, Mr. Harry (\"Mr E Haven\")<br>Actual: 26.55<br>Prediction: 128.8<br>Residual: -102.25",
-          "Index: Lindell, Mr. Edvard Bengtsson<br>Actual: 15.55<br>Prediction: 11.89<br>Residual: 3.66",
-          "Index: Daniel, Mr. Robert Williams<br>Actual: 30.5<br>Prediction: 39.42<br>Residual: -8.92",
-          "Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Actual: 41.58<br>Prediction: 30.4<br>Residual: 11.18",
-          "Index: Shutes, Miss. Elizabeth W<br>Actual: 153.46<br>Prediction: 89.95<br>Residual: 63.51",
-          "Index: Jardin, Mr. Jose Neto<br>Actual: 7.05<br>Prediction: 9.65<br>Residual: -2.6",
-          "Index: Horgan, Mr. John<br>Actual: 7.75<br>Prediction: 8.9<br>Residual: -1.15",
-          "Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Actual: 16.1<br>Prediction: 12.02<br>Residual: 4.08",
-          "Index: Yasbeck, Mr. Antoni<br>Actual: 14.45<br>Prediction: 11.92<br>Residual: 2.53",
-          "Index: Bostandyeff, Mr. Guentcho<br>Actual: 7.9<br>Prediction: 9.35<br>Residual: -1.45",
-          "Index: Lundahl, Mr. Johan Svensson<br>Actual: 7.05<br>Prediction: 8.89<br>Residual: -1.83",
-          "Index: Stahelin-Maeglin, Dr. Max<br>Actual: 30.5<br>Prediction: 154.37<br>Residual: -123.87",
-          "Index: Willey, Mr. Edward<br>Actual: 7.55<br>Prediction: 9.65<br>Residual: -2.1",
-          "Index: Stanley, Miss. Amy Zillah Elsie<br>Actual: 7.55<br>Prediction: 10.69<br>Residual: -3.14",
-          "Index: Hegarty, Miss. Hanora \"Nora\"<br>Actual: 6.75<br>Prediction: 8.76<br>Residual: -2.01",
-          "Index: Eitemiller, Mr. George Floyd<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75",
-          "Index: Colley, Mr. Edward Pomeroy<br>Actual: 25.59<br>Prediction: 35.25<br>Residual: -9.66",
-          "Index: Coleff, Mr. Peju<br>Actual: 7.5<br>Prediction: 8.89<br>Residual: -1.39",
-          "Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Actual: 39.0<br>Prediction: 30.33<br>Residual: 8.67",
-          "Index: Davidson, Mr. Thornton<br>Actual: 52.0<br>Prediction: 58.02<br>Residual: -6.02",
-          "Index: Turja, Miss. Anna Sofia<br>Actual: 9.84<br>Prediction: 10.74<br>Residual: -0.9",
-          "Index: Hassab, Mr. Hammad<br>Actual: 76.73<br>Prediction: 65.84<br>Residual: 10.88",
-          "Index: Goodwin, Mr. Charles Edward<br>Actual: 46.9<br>Prediction: 45.35<br>Residual: 1.55",
-          "Index: Panula, Mr. Jaako Arnold<br>Actual: 39.69<br>Prediction: 30.03<br>Residual: 9.66",
-          "Index: Fischer, Mr. Eberhard Thelander<br>Actual: 7.8<br>Prediction: 8.81<br>Residual: -1.02",
-          "Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Actual: 7.65<br>Prediction: 8.89<br>Residual: -1.24",
-          "Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Actual: 227.52<br>Prediction: 92.48<br>Residual: 135.04",
-          "Index: Hansen, Mr. Henrik Juul<br>Actual: 7.85<br>Prediction: 11.92<br>Residual: -4.07",
-          "Index: Calderhead, Mr. Edward Pennington<br>Actual: 26.29<br>Prediction: 38.74<br>Residual: -12.45",
-          "Index: Klaber, Mr. Herman<br>Actual: 26.55<br>Prediction: 56.46<br>Residual: -29.91",
-          "Index: Taylor, Mr. Elmer Zebley<br>Actual: 52.0<br>Prediction: 66.53<br>Residual: -14.53",
-          "Index: Larsson, Mr. August Viktor<br>Actual: 9.48<br>Prediction: 8.94<br>Residual: 0.54",
-          "Index: Greenberg, Mr. Samuel<br>Actual: 13.0<br>Prediction: 14.29<br>Residual: -1.29",
-          "Index: Troutt, Miss. Edwina Celia \"Winnie\"<br>Actual: 10.5<br>Prediction: 13.94<br>Residual: -3.44",
-          "Index: McEvoy, Mr. Michael<br>Actual: 15.5<br>Prediction: 8.9<br>Residual: 6.6",
-          "Index: Johnson, Mr. Malkolm Joackim<br>Actual: 7.78<br>Prediction: 8.93<br>Residual: -1.16",
-          "Index: Gillespie, Mr. William Henry<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97",
-          "Index: Allen, Miss. Elisabeth Walton<br>Actual: 211.34<br>Prediction: 77.57<br>Residual: 133.77",
-          "Index: Berriman, Mr. William John<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75",
-          "Index: Troupiansky, Mr. Moses Aaron<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75",
-          "Index: Williams, Mr. Leslie<br>Actual: 16.1<br>Prediction: 9.03<br>Residual: 7.07",
-          "Index: Ivanoff, Mr. Kanio<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76",
-          "Index: McNamee, Mr. Neal<br>Actual: 16.1<br>Prediction: 11.87<br>Residual: 4.23",
-          "Index: Connaghton, Mr. Michael<br>Actual: 7.75<br>Prediction: 8.89<br>Residual: -1.14",
-          "Index: Carlsson, Mr. August Sigfrid<br>Actual: 7.8<br>Prediction: 9.03<br>Residual: -1.24",
-          "Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Actual: 86.5<br>Prediction: 83.69<br>Residual: 2.81",
-          "Index: Eklund, Mr. Hans Linus<br>Actual: 7.78<br>Prediction: 8.85<br>Residual: -1.08",
-          "Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Actual: 77.96<br>Prediction: 71.44<br>Residual: 6.52",
-          "Index: Moran, Mr. Daniel J<br>Actual: 24.15<br>Prediction: 14.1<br>Residual: 10.05",
-          "Index: Lievens, Mr. Rene Aime<br>Actual: 9.5<br>Prediction: 8.75<br>Residual: 0.75",
-          "Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Actual: 211.34<br>Prediction: 113.43<br>Residual: 97.91",
-          "Index: Ayoub, Miss. Banoura<br>Actual: 7.23<br>Prediction: 10.56<br>Residual: -3.33",
-          "Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Actual: 57.0<br>Prediction: 81.34<br>Residual: -24.34",
-          "Index: Johnston, Mr. Andrew G<br>Actual: 23.45<br>Prediction: 20.21<br>Residual: 3.24",
-          "Index: Ali, Mr. William<br>Actual: 7.05<br>Prediction: 8.75<br>Residual: -1.7",
-          "Index: Sjoblom, Miss. Anna Sofia<br>Actual: 7.5<br>Prediction: 10.74<br>Residual: -3.25",
-          "Index: Guggenheim, Mr. Benjamin<br>Actual: 79.2<br>Prediction: 114.23<br>Residual: -35.03",
-          "Index: Leader, Dr. Alice (Farnham)<br>Actual: 25.93<br>Prediction: 77.64<br>Residual: -51.72",
-          "Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Actual: 26.25<br>Prediction: 29.85<br>Residual: -3.6",
-          "Index: Carter, Master. William Thornton II<br>Actual: 120.0<br>Prediction: 121.63<br>Residual: -1.63",
-          "Index: Thomas, Master. Assad Alexander<br>Actual: 8.52<br>Prediction: 12.37<br>Residual: -3.85",
-          "Index: Johansson, Mr. Karl Johan<br>Actual: 7.78<br>Prediction: 8.94<br>Residual: -1.16",
-          "Index: Slemen, Mr. Richard James<br>Actual: 10.5<br>Prediction: 14.17<br>Residual: -3.67",
-          "Index: Tomlin, Mr. Ernest Portage<br>Actual: 8.05<br>Prediction: 8.94<br>Residual: -0.89",
-          "Index: McCormack, Mr. Thomas Joseph<br>Actual: 7.75<br>Prediction: 11.94<br>Residual: -4.19",
-          "Index: Richards, Master. George Sibley<br>Actual: 18.75<br>Prediction: 28.76<br>Residual: -10.01",
-          "Index: Mudd, Mr. Thomas Charles<br>Actual: 10.5<br>Prediction: 15.11<br>Residual: -4.61",
-          "Index: Lemberopolous, Mr. Peter L<br>Actual: 6.44<br>Prediction: 8.84<br>Residual: -2.4",
-          "Index: Sage, Mr. Douglas Bullen<br>Actual: 69.55<br>Prediction: 68.73<br>Residual: 0.82",
-          "Index: Boulos, Miss. Nourelain<br>Actual: 15.25<br>Prediction: 17.81<br>Residual: -2.56",
-          "Index: Aks, Mrs. Sam (Leah Rosen)<br>Actual: 9.35<br>Prediction: 11.89<br>Residual: -2.54",
-          "Index: Razi, Mr. Raihed<br>Actual: 7.23<br>Prediction: 8.9<br>Residual: -1.67",
-          "Index: Johnson, Master. Harold Theodor<br>Actual: 11.13<br>Prediction: 18.08<br>Residual: -6.94",
-          "Index: Carlsson, Mr. Frans Olof<br>Actual: 5.0<br>Prediction: 45.3<br>Residual: -40.3",
-          "Index: Gustafsson, Mr. Alfred Ossian<br>Actual: 9.85<br>Prediction: 8.75<br>Residual: 1.09",
-          "Index: Montvila, Rev. Juozas<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97"
-         ],
-         "type": "scatter",
-         "x": [
-          115.7444165057363,
-          85.70664136831958,
-          27.58695933666445,
-          17.999138641161043,
-          22.776361080977935,
-          8.751797332179994,
-          9.686049774808653,
-          28.861122672340006,
-          10.706522957220752,
-          75.16770995525812,
-          8.903487769796277,
-          10.337258497643905,
-          11.974098021741995,
-          13.717104979245267,
-          67.47833141530958,
-          30.028218500112526,
-          18.664199990031218,
-          13.747329325980683,
-          14.942810681529277,
-          27.461818478697413,
-          8.93912055260638,
-          8.751797332179994,
-          58.395268500339995,
-          9.653206208725086,
-          84.88714564717702,
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+          "Index: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Observed: 71.28<br>Prediction: 111.90<br>Residual: -40.62",
+          "Index: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Observed: 53.10<br>Prediction: 84.10<br>Residual: -31.00",
+          "Index: Palsson, Master. Gosta Leonard<br>Observed: 21.07<br>Prediction: 24.37<br>Residual: -3.29",
+          "Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Observed: 11.13<br>Prediction: 18.78<br>Residual: -7.64",
+          "Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Observed: 30.07<br>Prediction: 24.13<br>Residual: 5.94",
+          "Index: Saundercock, Mr. William Henry<br>Observed: 8.05<br>Prediction: 9.01<br>Residual: -0.96",
+          "Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Observed: 7.85<br>Prediction: 9.29<br>Residual: -1.43",
+          "Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Observed: 31.39<br>Prediction: 25.49<br>Residual: 5.90",
+          "Index: Glynn, Miss. Mary Agatha<br>Observed: 7.75<br>Prediction: 11.46<br>Residual: -3.71",
+          "Index: Meyer, Mr. Edgar Joseph<br>Observed: 82.17<br>Prediction: 69.22<br>Residual: 12.95",
+          "Index: Kraeff, Mr. Theodor<br>Observed: 7.90<br>Prediction: 9.30<br>Residual: -1.40",
+          "Index: Devaney, Miss. Margaret Delia<br>Observed: 7.88<br>Prediction: 10.96<br>Residual: -3.09",
+          "Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Observed: 17.80<br>Prediction: 13.12<br>Residual: 4.68",
+          "Index: Rugg, Miss. Emily<br>Observed: 10.50<br>Prediction: 14.20<br>Residual: -3.70",
+          "Index: Harris, Mr. Henry Birkhardt<br>Observed: 83.47<br>Prediction: 59.72<br>Residual: 23.75",
+          "Index: Skoog, Master. Harald<br>Observed: 27.90<br>Prediction: 25.98<br>Residual: 1.92",
+          "Index: Kink, Mr. Vincenz<br>Observed: 8.66<br>Prediction: 18.96<br>Residual: -10.29",
+          "Index: Hood, Mr. Ambrose Jr<br>Observed: 73.50<br>Prediction: 14.14<br>Residual: 59.36",
+          "Index: Ilett, Miss. Bertha<br>Observed: 10.50<br>Prediction: 15.84<br>Residual: -5.34",
+          "Index: Ford, Mr. William Neal<br>Observed: 34.38<br>Prediction: 23.08<br>Residual: 11.30",
+          "Index: Christmann, Mr. Emil<br>Observed: 8.05<br>Prediction: 9.09<br>Residual: -1.04",
+          "Index: Andreasson, Mr. Paul Edvin<br>Observed: 7.85<br>Prediction: 9.01<br>Residual: -1.15",
+          "Index: Chaffee, Mr. Herbert Fuller<br>Observed: 61.17<br>Prediction: 50.89<br>Residual: 10.28",
+          "Index: Petroff, Mr. Pastcho (\"Pentcho\")<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54",
+          "Index: White, Mr. Richard Frasar<br>Observed: 77.29<br>Prediction: 88.47<br>Residual: -11.18",
+          "Index: Rekic, Mr. Tido<br>Observed: 7.90<br>Prediction: 9.07<br>Residual: -1.17",
+          "Index: Moran, Miss. Bertha<br>Observed: 24.15<br>Prediction: 14.56<br>Residual: 9.59",
+          "Index: Barton, Mr. David John<br>Observed: 8.05<br>Prediction: 9.01<br>Residual: -0.96",
+          "Index: Jussila, Miss. Katriina<br>Observed: 9.82<br>Prediction: 13.12<br>Residual: -3.30",
+          "Index: Pekoniemi, Mr. Edvard<br>Observed: 7.92<br>Prediction: 9.01<br>Residual: -1.08",
+          "Index: Turpin, Mr. William John Robert<br>Observed: 21.00<br>Prediction: 24.72<br>Residual: -3.72",
+          "Index: Moore, Mr. Leonard Charles<br>Observed: 8.05<br>Prediction: 9.44<br>Residual: -1.39",
+          "Index: Osen, Mr. Olaf Elon<br>Observed: 9.22<br>Prediction: 9.01<br>Residual: 0.21",
+          "Index: Ford, Miss. Robina Maggie \"Ruby\"<br>Observed: 34.38<br>Prediction: 24.43<br>Residual: 9.95",
+          "Index: Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Observed: 26.00<br>Prediction: 26.44<br>Residual: -0.44",
+          "Index: Bateman, Rev. Robert James<br>Observed: 12.53<br>Prediction: 14.20<br>Residual: -1.68",
+          "Index: Meo, Mr. Alfonzo<br>Observed: 8.05<br>Prediction: 9.07<br>Residual: -1.02",
+          "Index: Cribb, Mr. John Hatfield<br>Observed: 16.10<br>Prediction: 18.64<br>Residual: -2.54",
+          "Index: Chibnall, Mrs. (Edith Martha Bowerman)<br>Observed: 55.00<br>Prediction: 106.26<br>Residual: -51.26",
+          "Index: Van der hoef, Mr. Wyckoff<br>Observed: 33.50<br>Prediction: 35.44<br>Residual: -1.94",
+          "Index: Sivola, Mr. Antti Wilhelm<br>Observed: 7.92<br>Prediction: 9.01<br>Residual: -1.08",
+          "Index: Klasen, Mr. Klas Albin<br>Observed: 7.85<br>Prediction: 19.61<br>Residual: -11.75",
+          "Index: Rood, Mr. Hugh Roscoe<br>Observed: 50.00<br>Prediction: 39.90<br>Residual: 10.10",
+          "Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Observed: 7.85<br>Prediction: 14.43<br>Residual: -6.58",
+          "Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Observed: 27.72<br>Prediction: 135.58<br>Residual: -107.86",
+          "Index: Vande Walle, Mr. Nestor Cyriel<br>Observed: 9.50<br>Prediction: 9.56<br>Residual: -0.06",
+          "Index: Backstrom, Mr. Karl Alfred<br>Observed: 15.85<br>Prediction: 13.06<br>Residual: 2.79",
+          "Index: Blank, Mr. Henry<br>Observed: 31.00<br>Prediction: 74.74<br>Residual: -43.74",
+          "Index: Ali, Mr. Ahmed<br>Observed: 7.05<br>Prediction: 9.01<br>Residual: -1.96",
+          "Index: Green, Mr. George Henry<br>Observed: 8.05<br>Prediction: 9.07<br>Residual: -1.02",
+          "Index: Nenkoff, Mr. Christo<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54",
+          "Index: Asplund, Miss. Lillian Gertrud<br>Observed: 31.39<br>Prediction: 27.81<br>Residual: 3.58",
+          "Index: Harknett, Miss. Alice Phoebe<br>Observed: 7.55<br>Prediction: 9.44<br>Residual: -1.89",
+          "Index: Hunt, Mr. George Henry<br>Observed: 12.28<br>Prediction: 14.14<br>Residual: -1.87",
+          "Index: Reed, Mr. James George<br>Observed: 7.25<br>Prediction: 9.44<br>Residual: -2.19",
+          "Index: Stead, Mr. William Thomas<br>Observed: 26.55<br>Prediction: 44.84<br>Residual: -18.29",
+          "Index: Thorne, Mrs. Gertrude Maybelle<br>Observed: 79.20<br>Prediction: 119.07<br>Residual: -39.87",
+          "Index: Parrish, Mrs. (Lutie Davis)<br>Observed: 26.00<br>Prediction: 31.56<br>Residual: -5.56",
+          "Index: Smith, Mr. Thomas<br>Observed: 7.75<br>Prediction: 9.30<br>Residual: -1.55",
+          "Index: Asplund, Master. Edvin Rojj Felix<br>Observed: 31.39<br>Prediction: 28.09<br>Residual: 3.30",
+          "Index: Healy, Miss. Hanora \"Nora\"<br>Observed: 7.75<br>Prediction: 11.46<br>Residual: -3.71",
+          "Index: Andrews, Miss. Kornelia Theodosia<br>Observed: 77.96<br>Prediction: 61.94<br>Residual: 16.02",
+          "Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Observed: 20.25<br>Prediction: 19.11<br>Residual: 1.14",
+          "Index: Smith, Mr. Richard William<br>Observed: 26.00<br>Prediction: 39.90<br>Residual: -13.90",
+          "Index: Connolly, Miss. Kate<br>Observed: 7.75<br>Prediction: 10.96<br>Residual: -3.21",
+          "Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Observed: 91.08<br>Prediction: 107.12<br>Residual: -16.04",
+          "Index: Levy, Mr. Rene Jacques<br>Observed: 12.88<br>Prediction: 14.14<br>Residual: -1.27",
+          "Index: Lewy, Mr. Ervin G<br>Observed: 27.72<br>Prediction: 65.42<br>Residual: -37.70",
+          "Index: Williams, Mr. Howard Hugh \"Harry\"<br>Observed: 8.05<br>Prediction: 9.44<br>Residual: -1.39",
+          "Index: Sage, Mr. George John Jr<br>Observed: 69.55<br>Prediction: 69.32<br>Residual: 0.23",
+          "Index: Nysveen, Mr. Johan Hansen<br>Observed: 6.24<br>Prediction: 9.07<br>Residual: -2.83",
+          "Index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Observed: 133.65<br>Prediction: 84.92<br>Residual: 48.73",
+          "Index: Denkoff, Mr. Mitto<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54",
+          "Index: Burns, Miss. Elizabeth Margaret<br>Observed: 134.50<br>Prediction: 101.93<br>Residual: 32.57",
+          "Index: Dimic, Mr. Jovan<br>Observed: 8.66<br>Prediction: 9.07<br>Residual: -0.41",
+          "Index: del Carlo, Mr. Sebastiano<br>Observed: 27.72<br>Prediction: 24.72<br>Residual: 3.00",
+          "Index: Beavan, Mr. William Thomas<br>Observed: 8.05<br>Prediction: 9.01<br>Residual: -0.96",
+          "Index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Observed: 82.17<br>Prediction: 111.31<br>Residual: -29.14",
+          "Index: Widener, Mr. Harry Elkins<br>Observed: 211.50<br>Prediction: 122.54<br>Residual: 88.96",
+          "Index: Gustafsson, Mr. Karl Gideon<br>Observed: 7.78<br>Prediction: 9.01<br>Residual: -1.23",
+          "Index: Plotcharsky, Mr. Vasil<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54",
+          "Index: Goodwin, Master. Sidney Leonard<br>Observed: 46.90<br>Prediction: 42.47<br>Residual: 4.43",
+          "Index: Sadlier, Mr. Matthew<br>Observed: 7.73<br>Prediction: 9.30<br>Residual: -1.57",
+          "Index: Gustafsson, Mr. Johan Birger<br>Observed: 7.92<br>Prediction: 19.24<br>Residual: -11.31",
+          "Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Observed: 16.70<br>Prediction: 18.57<br>Residual: -1.87",
+          "Index: Niskanen, Mr. Juha<br>Observed: 7.92<br>Prediction: 13.02<br>Residual: -5.10",
+          "Index: Minahan, Miss. Daisy E<br>Observed: 90.00<br>Prediction: 97.22<br>Residual: -7.22",
+          "Index: Matthews, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Charters, Mr. David<br>Observed: 7.73<br>Prediction: 9.01<br>Residual: -1.27",
+          "Index: Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Observed: 26.00<br>Prediction: 14.20<br>Residual: 11.80",
+          "Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Observed: 26.25<br>Prediction: 27.89<br>Residual: -1.64",
+          "Index: Johannesen-Bratthammer, Mr. Bernt<br>Observed: 8.11<br>Prediction: 12.55<br>Residual: -4.43",
+          "Index: Peuchen, Major. Arthur Godfrey<br>Observed: 30.50<br>Prediction: 45.07<br>Residual: -14.57",
+          "Index: Anderson, Mr. Harry<br>Observed: 26.55<br>Prediction: 39.01<br>Residual: -12.46",
+          "Index: Milling, Mr. Jacob Christian<br>Observed: 13.00<br>Prediction: 14.20<br>Residual: -1.20",
+          "Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Observed: 27.75<br>Prediction: 29.99<br>Residual: -2.24",
+          "Index: Karlsson, Mr. Nils August<br>Observed: 7.52<br>Prediction: 9.01<br>Residual: -1.49",
+          "Index: Frost, Mr. Anthony Wood \"Archie\"<br>Observed: 0.00<br>Prediction: 13.26<br>Residual: -13.26",
+          "Index: Bishop, Mr. Dickinson H<br>Observed: 91.08<br>Prediction: 146.18<br>Residual: -55.10",
+          "Index: Windelov, Mr. Einar<br>Observed: 7.25<br>Prediction: 9.01<br>Residual: -1.76",
+          "Index: Shellard, Mr. Frederick William<br>Observed: 15.10<br>Prediction: 9.44<br>Residual: 5.66",
+          "Index: Svensson, Mr. Olof<br>Observed: 7.80<br>Prediction: 9.01<br>Residual: -1.21",
+          "Index: O'Sullivan, Miss. Bridget Mary<br>Observed: 7.63<br>Prediction: 9.30<br>Residual: -1.67",
+          "Index: Laitinen, Miss. Kristina Sofia<br>Observed: 9.59<br>Prediction: 9.07<br>Residual: 0.52",
+          "Index: Penasco y Castellana, Mr. Victor de Satode<br>Observed: 108.90<br>Prediction: 77.01<br>Residual: 31.89",
+          "Index: Bradley, Mr. George (\"George Arthur Brayton\")<br>Observed: 26.55<br>Prediction: 46.34<br>Residual: -19.79",
+          "Index: Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Observed: 26.00<br>Prediction: 24.73<br>Residual: 1.27",
+          "Index: Kassem, Mr. Fared<br>Observed: 7.23<br>Prediction: 9.30<br>Residual: -2.07",
+          "Index: Cacic, Miss. Marija<br>Observed: 8.66<br>Prediction: 9.09<br>Residual: -0.43",
+          "Index: Hart, Miss. Eva Miriam<br>Observed: 26.25<br>Prediction: 25.60<br>Residual: 0.65",
+          "Index: Butt, Major. Archibald Willingham<br>Observed: 26.55<br>Prediction: 35.44<br>Residual: -8.89",
+          "Index: Beane, Mr. Edward<br>Observed: 26.00<br>Prediction: 25.23<br>Residual: 0.77",
+          "Index: Goldsmith, Mr. Frank John<br>Observed: 20.52<br>Prediction: 19.61<br>Residual: 0.92",
+          "Index: Ohman, Miss. Velin<br>Observed: 7.78<br>Prediction: 11.60<br>Residual: -3.83",
+          "Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Observed: 79.65<br>Prediction: 96.58<br>Residual: -16.93",
+          "Index: Morrow, Mr. Thomas Rowan<br>Observed: 7.75<br>Prediction: 9.30<br>Residual: -1.55",
+          "Index: Harris, Mr. George<br>Observed: 10.50<br>Prediction: 15.21<br>Residual: -4.71",
+          "Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Observed: 51.48<br>Prediction: 107.98<br>Residual: -56.50",
+          "Index: Patchett, Mr. George<br>Observed: 14.50<br>Prediction: 9.01<br>Residual: 5.49",
+          "Index: Ross, Mr. John Hugo<br>Observed: 40.12<br>Prediction: 82.43<br>Residual: -42.30",
+          "Index: Murdlin, Mr. Joseph<br>Observed: 8.05<br>Prediction: 9.44<br>Residual: -1.39",
+          "Index: Bourke, Miss. Mary<br>Observed: 7.75<br>Prediction: 19.99<br>Residual: -12.24",
+          "Index: Boulos, Mr. Hanna<br>Observed: 7.22<br>Prediction: 9.30<br>Residual: -2.07",
+          "Index: Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Observed: 56.93<br>Prediction: 74.41<br>Residual: -17.48",
+          "Index: Homer, Mr. Harry (\"Mr E Haven\")<br>Observed: 26.55<br>Prediction: 132.87<br>Residual: -106.32",
+          "Index: Lindell, Mr. Edvard Bengtsson<br>Observed: 15.55<br>Prediction: 13.06<br>Residual: 2.49",
+          "Index: Daniel, Mr. Robert Williams<br>Observed: 30.50<br>Prediction: 44.05<br>Residual: -13.55",
+          "Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Observed: 41.58<br>Prediction: 30.66<br>Residual: 10.92",
+          "Index: Shutes, Miss. Elizabeth W<br>Observed: 153.46<br>Prediction: 78.64<br>Residual: 74.82",
+          "Index: Jardin, Mr. Jose Neto<br>Observed: 7.05<br>Prediction: 9.44<br>Residual: -2.39",
+          "Index: Horgan, Mr. John<br>Observed: 7.75<br>Prediction: 9.30<br>Residual: -1.55",
+          "Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Observed: 16.10<br>Prediction: 13.12<br>Residual: 2.98",
+          "Index: Yasbeck, Mr. Antoni<br>Observed: 14.45<br>Prediction: 13.12<br>Residual: 1.33",
+          "Index: Bostandyeff, Mr. Guentcho<br>Observed: 7.90<br>Prediction: 9.13<br>Residual: -1.23",
+          "Index: Lundahl, Mr. Johan Svensson<br>Observed: 7.05<br>Prediction: 9.07<br>Residual: -2.01",
+          "Index: Stahelin-Maeglin, Dr. Max<br>Observed: 30.50<br>Prediction: 167.14<br>Residual: -136.64",
+          "Index: Willey, Mr. Edward<br>Observed: 7.55<br>Prediction: 9.44<br>Residual: -1.89",
+          "Index: Stanley, Miss. Amy Zillah Elsie<br>Observed: 7.55<br>Prediction: 11.60<br>Residual: -4.05",
+          "Index: Hegarty, Miss. Hanora \"Nora\"<br>Observed: 6.75<br>Prediction: 9.01<br>Residual: -2.26",
+          "Index: Eitemiller, Mr. George Floyd<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Colley, Mr. Edward Pomeroy<br>Observed: 25.59<br>Prediction: 36.25<br>Residual: -10.66",
+          "Index: Coleff, Mr. Peju<br>Observed: 7.50<br>Prediction: 9.07<br>Residual: -1.57",
+          "Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Observed: 39.00<br>Prediction: 26.92<br>Residual: 12.08",
+          "Index: Davidson, Mr. Thornton<br>Observed: 52.00<br>Prediction: 46.49<br>Residual: 5.51",
+          "Index: Turja, Miss. Anna Sofia<br>Observed: 9.84<br>Prediction: 11.60<br>Residual: -1.76",
+          "Index: Hassab, Mr. Hammad<br>Observed: 76.73<br>Prediction: 61.45<br>Residual: 15.28",
+          "Index: Goodwin, Mr. Charles Edward<br>Observed: 46.90<br>Prediction: 42.47<br>Residual: 4.43",
+          "Index: Panula, Mr. Jaako Arnold<br>Observed: 39.69<br>Prediction: 27.31<br>Residual: 12.38",
+          "Index: Fischer, Mr. Eberhard Thelander<br>Observed: 7.80<br>Prediction: 9.01<br>Residual: -1.21",
+          "Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Observed: 7.65<br>Prediction: 9.07<br>Residual: -1.42",
+          "Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Observed: 227.53<br>Prediction: 90.87<br>Residual: 136.65",
+          "Index: Hansen, Mr. Henrik Juul<br>Observed: 7.85<br>Prediction: 13.12<br>Residual: -5.27",
+          "Index: Calderhead, Mr. Edward Pennington<br>Observed: 26.29<br>Prediction: 39.01<br>Residual: -12.72",
+          "Index: Klaber, Mr. Herman<br>Observed: 26.55<br>Prediction: 58.88<br>Residual: -32.33",
+          "Index: Taylor, Mr. Elmer Zebley<br>Observed: 52.00<br>Prediction: 59.95<br>Residual: -7.95",
+          "Index: Larsson, Mr. August Viktor<br>Observed: 9.48<br>Prediction: 9.09<br>Residual: 0.39",
+          "Index: Greenberg, Mr. Samuel<br>Observed: 13.00<br>Prediction: 14.20<br>Residual: -1.20",
+          "Index: Troutt, Miss. Edwina Celia \"Winnie\"<br>Observed: 10.50<br>Prediction: 14.20<br>Residual: -3.70",
+          "Index: McEvoy, Mr. Michael<br>Observed: 15.50<br>Prediction: 9.30<br>Residual: 6.20",
+          "Index: Johnson, Mr. Malkolm Joackim<br>Observed: 7.78<br>Prediction: 9.16<br>Residual: -1.38",
+          "Index: Gillespie, Mr. William Henry<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Allen, Miss. Elisabeth Walton<br>Observed: 211.34<br>Prediction: 77.13<br>Residual: 134.21",
+          "Index: Berriman, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Troupiansky, Mr. Moses Aaron<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Williams, Mr. Leslie<br>Observed: 16.10<br>Prediction: 9.56<br>Residual: 6.54",
+          "Index: Ivanoff, Mr. Kanio<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54",
+          "Index: McNamee, Mr. Neal<br>Observed: 16.10<br>Prediction: 13.12<br>Residual: 2.98",
+          "Index: Connaghton, Mr. Michael<br>Observed: 7.75<br>Prediction: 9.09<br>Residual: -1.34",
+          "Index: Carlsson, Mr. August Sigfrid<br>Observed: 7.80<br>Prediction: 9.56<br>Residual: -1.76",
+          "Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Observed: 86.50<br>Prediction: 76.42<br>Residual: 10.08",
+          "Index: Eklund, Mr. Hans Linus<br>Observed: 7.78<br>Prediction: 9.01<br>Residual: -1.23",
+          "Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Observed: 77.96<br>Prediction: 61.93<br>Residual: 16.03",
+          "Index: Moran, Mr. Daniel J<br>Observed: 24.15<br>Prediction: 13.77<br>Residual: 10.38",
+          "Index: Lievens, Mr. Rene Aime<br>Observed: 9.50<br>Prediction: 9.01<br>Residual: 0.49",
+          "Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Observed: 211.34<br>Prediction: 104.14<br>Residual: 107.20",
+          "Index: Ayoub, Miss. Banoura<br>Observed: 7.23<br>Prediction: 11.14<br>Residual: -3.91",
+          "Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Observed: 57.00<br>Prediction: 76.64<br>Residual: -19.64",
+          "Index: Johnston, Mr. Andrew G<br>Observed: 23.45<br>Prediction: 22.47<br>Residual: 0.98",
+          "Index: Ali, Mr. William<br>Observed: 7.05<br>Prediction: 9.01<br>Residual: -1.96",
+          "Index: Sjoblom, Miss. Anna Sofia<br>Observed: 7.50<br>Prediction: 11.60<br>Residual: -4.11",
+          "Index: Guggenheim, Mr. Benjamin<br>Observed: 79.20<br>Prediction: 120.52<br>Residual: -41.32",
+          "Index: Leader, Dr. Alice (Farnham)<br>Observed: 25.93<br>Prediction: 60.75<br>Residual: -34.82",
+          "Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Observed: 26.25<br>Prediction: 26.92<br>Residual: -0.67",
+          "Index: Carter, Master. William Thornton II<br>Observed: 120.00<br>Prediction: 151.12<br>Residual: -31.12",
+          "Index: Thomas, Master. Assad Alexander<br>Observed: 8.52<br>Prediction: 17.56<br>Residual: -9.04",
+          "Index: Johansson, Mr. Karl Johan<br>Observed: 7.78<br>Prediction: 9.09<br>Residual: -1.32",
+          "Index: Slemen, Mr. Richard James<br>Observed: 10.50<br>Prediction: 14.14<br>Residual: -3.64",
+          "Index: Tomlin, Mr. Ernest Portage<br>Observed: 8.05<br>Prediction: 9.09<br>Residual: -1.04",
+          "Index: McCormack, Mr. Thomas Joseph<br>Observed: 7.75<br>Prediction: 11.77<br>Residual: -4.02",
+          "Index: Richards, Master. George Sibley<br>Observed: 18.75<br>Prediction: 26.93<br>Residual: -8.18",
+          "Index: Mudd, Mr. Thomas Charles<br>Observed: 10.50<br>Prediction: 15.78<br>Residual: -5.28",
+          "Index: Lemberopolous, Mr. Peter L<br>Observed: 6.44<br>Prediction: 9.07<br>Residual: -2.63",
+          "Index: Sage, Mr. Douglas Bullen<br>Observed: 69.55<br>Prediction: 69.32<br>Residual: 0.23",
+          "Index: Boulos, Miss. Nourelain<br>Observed: 15.25<br>Prediction: 19.61<br>Residual: -4.36",
+          "Index: Aks, Mrs. Sam (Leah Rosen)<br>Observed: 9.35<br>Prediction: 17.75<br>Residual: -8.40",
+          "Index: Razi, Mr. Raihed<br>Observed: 7.23<br>Prediction: 9.30<br>Residual: -2.07",
+          "Index: Johnson, Master. Harold Theodor<br>Observed: 11.13<br>Prediction: 19.11<br>Residual: -7.98",
+          "Index: Carlsson, Mr. Frans Olof<br>Observed: 5.00<br>Prediction: 36.55<br>Residual: -31.55",
+          "Index: Gustafsson, Mr. Alfred Ossian<br>Observed: 9.85<br>Prediction: 9.01<br>Residual: 0.84",
+          "Index: Montvila, Rev. Juozas<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14"
+         ],
+         "type": "scattergl",
+         "x": [
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Gosta Leonard<br>Actual: 21.08<br>Prediction: 27.59<br>Residual: -6.51\", \"Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Actual: 11.13<br>Prediction: 18.0<br>Residual: -6.87\", \"Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Actual: 30.07<br>Prediction: 22.78<br>Residual: 7.29\", \"Index: Saundercock, Mr. William Henry<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7\", \"Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Actual: 7.85<br>Prediction: 9.69<br>Residual: -1.83\", \"Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Actual: 31.39<br>Prediction: 28.86<br>Residual: 2.53\", \"Index: Glynn, Miss. Mary Agatha<br>Actual: 7.75<br>Prediction: 10.71<br>Residual: -2.96\", \"Index: Meyer, Mr. Edgar Joseph<br>Actual: 82.17<br>Prediction: 75.17<br>Residual: 7.0\", \"Index: Kraeff, Mr. Theodor<br>Actual: 7.9<br>Prediction: 8.9<br>Residual: -1.01\", \"Index: Devaney, Miss. Margaret Delia<br>Actual: 7.88<br>Prediction: 10.34<br>Residual: -2.46\", \"Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Actual: 17.8<br>Prediction: 11.97<br>Residual: 5.83\", \"Index: Rugg, Miss. Emily<br>Actual: 10.5<br>Prediction: 13.72<br>Residual: -3.22\", \"Index: Harris, Mr. Henry Birkhardt<br>Actual: 83.48<br>Prediction: 67.48<br>Residual: 16.0\", \"Index: Skoog, Master. Harald<br>Actual: 27.9<br>Prediction: 30.03<br>Residual: -2.13\", \"Index: Kink, Mr. Vincenz<br>Actual: 8.66<br>Prediction: 18.66<br>Residual: -10.0\", \"Index: Hood, Mr. Ambrose Jr<br>Actual: 73.5<br>Prediction: 13.75<br>Residual: 59.75\", \"Index: Ilett, Miss. Bertha<br>Actual: 10.5<br>Prediction: 14.94<br>Residual: -4.44\", \"Index: Ford, Mr. William Neal<br>Actual: 34.38<br>Prediction: 27.46<br>Residual: 6.91\", \"Index: Christmann, Mr. Emil<br>Actual: 8.05<br>Prediction: 8.94<br>Residual: -0.89\", \"Index: Andreasson, Mr. Paul Edvin<br>Actual: 7.85<br>Prediction: 8.75<br>Residual: -0.9\", \"Index: Chaffee, Mr. Herbert Fuller<br>Actual: 61.18<br>Prediction: 58.4<br>Residual: 2.78\", \"Index: Petroff, Mr. Pastcho (\\\"Pentcho\\\")<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76\", \"Index: White, Mr. Richard Frasar<br>Actual: 77.29<br>Prediction: 84.89<br>Residual: -7.6\", \"Index: Rekic, Mr. Tido<br>Actual: 7.9<br>Prediction: 8.89<br>Residual: -0.99\", \"Index: Moran, Miss. Bertha<br>Actual: 24.15<br>Prediction: 13.89<br>Residual: 10.26\", \"Index: Barton, Mr. David John<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7\", \"Index: Jussila, Miss. Katriina<br>Actual: 9.82<br>Prediction: 11.97<br>Residual: -2.15\", \"Index: Pekoniemi, Mr. Edvard<br>Actual: 7.92<br>Prediction: 8.75<br>Residual: -0.83\", \"Index: Turpin, Mr. William John Robert<br>Actual: 21.0<br>Prediction: 24.75<br>Residual: -3.75\", \"Index: Moore, Mr. Leonard Charles<br>Actual: 8.05<br>Prediction: 9.65<br>Residual: -1.6\", \"Index: Osen, Mr. Olaf Elon<br>Actual: 9.22<br>Prediction: 8.85<br>Residual: 0.36\", \"Index: Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Actual: 34.38<br>Prediction: 27.59<br>Residual: 6.79\", \"Index: Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Actual: 26.0<br>Prediction: 30.67<br>Residual: -4.67\", \"Index: Bateman, Rev. Robert James<br>Actual: 12.52<br>Prediction: 14.29<br>Residual: -1.77\", \"Index: Meo, Mr. Alfonzo<br>Actual: 8.05<br>Prediction: 8.89<br>Residual: -0.84\", \"Index: Cribb, Mr. John Hatfield<br>Actual: 16.1<br>Prediction: 11.93<br>Residual: 4.17\", \"Index: Chibnall, Mrs. (Edith Martha Bowerman)<br>Actual: 55.0<br>Prediction: 93.29<br>Residual: -38.29\", \"Index: Van der hoef, Mr. Wyckoff<br>Actual: 33.5<br>Prediction: 40.87<br>Residual: -7.37\", \"Index: Sivola, Mr. Antti Wilhelm<br>Actual: 7.92<br>Prediction: 8.75<br>Residual: -0.83\", \"Index: Klasen, Mr. Klas Albin<br>Actual: 7.85<br>Prediction: 18.0<br>Residual: -10.14\", \"Index: Rood, Mr. Hugh Roscoe<br>Actual: 50.0<br>Prediction: 40.55<br>Residual: 9.45\", \"Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Actual: 7.85<br>Prediction: 11.9<br>Residual: -4.04\", \"Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Actual: 27.72<br>Prediction: 134.65<br>Residual: -106.93\", \"Index: Vande Walle, Mr. Nestor Cyriel<br>Actual: 9.5<br>Prediction: 9.03<br>Residual: 0.47\", \"Index: Backstrom, Mr. Karl Alfred<br>Actual: 15.85<br>Prediction: 11.89<br>Residual: 3.96\", \"Index: Blank, Mr. Henry<br>Actual: 31.0<br>Prediction: 82.07<br>Residual: -51.07\", \"Index: Ali, Mr. Ahmed<br>Actual: 7.05<br>Prediction: 8.75<br>Residual: -1.7\", \"Index: Green, Mr. George Henry<br>Actual: 8.05<br>Prediction: 8.89<br>Residual: -0.84\", \"Index: Nenkoff, Mr. Christo<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76\", \"Index: Asplund, Miss. Lillian Gertrud<br>Actual: 31.39<br>Prediction: 29.14<br>Residual: 2.25\", \"Index: Harknett, Miss. Alice Phoebe<br>Actual: 7.55<br>Prediction: 9.65<br>Residual: -2.1\", \"Index: Hunt, Mr. George Henry<br>Actual: 12.28<br>Prediction: 13.97<br>Residual: -1.7\", \"Index: Reed, Mr. James George<br>Actual: 7.25<br>Prediction: 9.65<br>Residual: -2.4\", \"Index: Stead, Mr. William Thomas<br>Actual: 26.55<br>Prediction: 43.47<br>Residual: -16.92\", \"Index: Thorne, Mrs. Gertrude Maybelle<br>Actual: 79.2<br>Prediction: 101.1<br>Residual: -21.9\", \"Index: Parrish, Mrs. (Lutie Davis)<br>Actual: 26.0<br>Prediction: 24.6<br>Residual: 1.4\", \"Index: Smith, Mr. Thomas<br>Actual: 7.75<br>Prediction: 8.9<br>Residual: -1.15\", \"Index: Asplund, Master. Edvin Rojj Felix<br>Actual: 31.39<br>Prediction: 29.14<br>Residual: 2.25\", \"Index: Healy, Miss. Hanora \\\"Nora\\\"<br>Actual: 7.75<br>Prediction: 10.71<br>Residual: -2.96\", \"Index: Andrews, Miss. Kornelia Theodosia<br>Actual: 77.96<br>Prediction: 71.44<br>Residual: 6.52\", \"Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Actual: 20.25<br>Prediction: 18.0<br>Residual: 2.25\", \"Index: Smith, Mr. Richard William<br>Actual: 26.0<br>Prediction: 40.55<br>Residual: -14.55\", \"Index: Connolly, Miss. Kate<br>Actual: 7.75<br>Prediction: 10.34<br>Residual: -2.59\", \"Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Actual: 91.08<br>Prediction: 110.98<br>Residual: -19.9\", \"Index: Levy, Mr. Rene Jacques<br>Actual: 12.88<br>Prediction: 14.17<br>Residual: -1.3\", \"Index: Lewy, Mr. Ervin G<br>Actual: 27.72<br>Prediction: 62.14<br>Residual: -34.41\", \"Index: Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Actual: 8.05<br>Prediction: 9.65<br>Residual: -1.6\", \"Index: Sage, Mr. George John Jr<br>Actual: 69.55<br>Prediction: 68.73<br>Residual: 0.82\", \"Index: Nysveen, Mr. Johan Hansen<br>Actual: 6.24<br>Prediction: 8.89<br>Residual: -2.65\", \"Index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Actual: 133.65<br>Prediction: 87.49<br>Residual: 46.16\", \"Index: Denkoff, Mr. Mitto<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76\", \"Index: Burns, Miss. Elizabeth Margaret<br>Actual: 134.5<br>Prediction: 112.92<br>Residual: 21.58\", \"Index: Dimic, Mr. Jovan<br>Actual: 8.66<br>Prediction: 8.89<br>Residual: -0.23\", \"Index: del Carlo, Mr. Sebastiano<br>Actual: 27.72<br>Prediction: 24.41<br>Residual: 3.31\", \"Index: Beavan, Mr. William Thomas<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7\", \"Index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Actual: 82.17<br>Prediction: 100.49<br>Residual: -18.32\", \"Index: Widener, Mr. Harry Elkins<br>Actual: 211.5<br>Prediction: 105.42<br>Residual: 106.08\", \"Index: Gustafsson, Mr. Karl Gideon<br>Actual: 7.78<br>Prediction: 8.75<br>Residual: -0.98\", \"Index: Plotcharsky, Mr. Vasil<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76\", \"Index: Goodwin, Master. Sidney Leonard<br>Actual: 46.9<br>Prediction: 45.35<br>Residual: 1.55\", \"Index: Sadlier, Mr. Matthew<br>Actual: 7.73<br>Prediction: 8.9<br>Residual: -1.17\", \"Index: Gustafsson, Mr. Johan Birger<br>Actual: 7.92<br>Prediction: 18.66<br>Residual: -10.74\", \"Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Actual: 16.7<br>Prediction: 18.0<br>Residual: -1.3\", \"Index: Niskanen, Mr. Juha<br>Actual: 7.92<br>Prediction: 14.11<br>Residual: -6.18\", \"Index: Minahan, Miss. Daisy E<br>Actual: 90.0<br>Prediction: 92.35<br>Residual: -2.35\", \"Index: Matthews, Mr. William John<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97\", \"Index: Charters, Mr. David<br>Actual: 7.73<br>Prediction: 8.7<br>Residual: -0.97\", \"Index: Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Actual: 26.0<br>Prediction: 13.72<br>Residual: 12.28\", \"Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Actual: 26.25<br>Prediction: 30.6<br>Residual: -4.35\", \"Index: Johannesen-Bratthammer, Mr. Bernt<br>Actual: 8.11<br>Prediction: 12.99<br>Residual: -4.87\", \"Index: Peuchen, Major. Arthur Godfrey<br>Actual: 30.5<br>Prediction: 45.79<br>Residual: -15.29\", \"Index: Anderson, Mr. Harry<br>Actual: 26.55<br>Prediction: 38.74<br>Residual: -12.19\", \"Index: Milling, Mr. Jacob Christian<br>Actual: 13.0<br>Prediction: 14.29<br>Residual: -1.29\", \"Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Actual: 27.75<br>Prediction: 31.37<br>Residual: -3.62\", \"Index: Karlsson, Mr. Nils August<br>Actual: 7.52<br>Prediction: 8.75<br>Residual: -1.23\", \"Index: Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Actual: 0.0<br>Prediction: 11.22<br>Residual: -11.22\", \"Index: Bishop, Mr. Dickinson H<br>Actual: 91.08<br>Prediction: 147.49<br>Residual: -56.41\", \"Index: Windelov, Mr. Einar<br>Actual: 7.25<br>Prediction: 8.75<br>Residual: -1.5\", \"Index: Shellard, Mr. Frederick William<br>Actual: 15.1<br>Prediction: 9.65<br>Residual: 5.45\", \"Index: Svensson, Mr. Olof<br>Actual: 7.8<br>Prediction: 8.75<br>Residual: -0.96\", \"Index: O'Sullivan, Miss. Bridget Mary<br>Actual: 7.63<br>Prediction: 8.9<br>Residual: -1.27\", \"Index: Laitinen, Miss. Kristina Sofia<br>Actual: 9.59<br>Prediction: 8.89<br>Residual: 0.7\", \"Index: Penasco y Castellana, Mr. Victor de Satode<br>Actual: 108.9<br>Prediction: 79.23<br>Residual: 29.67\", \"Index: Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Actual: 26.55<br>Prediction: 42.89<br>Residual: -16.34\", \"Index: Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Actual: 26.0<br>Prediction: 24.59<br>Residual: 1.41\", \"Index: Kassem, Mr. Fared<br>Actual: 7.23<br>Prediction: 8.9<br>Residual: -1.67\", \"Index: Cacic, Miss. Marija<br>Actual: 8.66<br>Prediction: 8.94<br>Residual: -0.28\", \"Index: Hart, Miss. Eva Miriam<br>Actual: 26.25<br>Prediction: 29.02<br>Residual: -2.77\", \"Index: Butt, Major. Archibald Willingham<br>Actual: 26.55<br>Prediction: 44.81<br>Residual: -18.26\", \"Index: Beane, Mr. Edward<br>Actual: 26.0<br>Prediction: 24.75<br>Residual: 1.25\", \"Index: Goldsmith, Mr. Frank John<br>Actual: 20.52<br>Prediction: 18.0<br>Residual: 2.53\", \"Index: Ohman, Miss. Velin<br>Actual: 7.78<br>Prediction: 10.69<br>Residual: -2.91\", \"Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Actual: 79.65<br>Prediction: 96.19<br>Residual: -16.54\", \"Index: Morrow, Mr. Thomas Rowan<br>Actual: 7.75<br>Prediction: 8.9<br>Residual: -1.15\", \"Index: Harris, Mr. George<br>Actual: 10.5<br>Prediction: 15.12<br>Residual: -4.62\", \"Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Actual: 51.48<br>Prediction: 93.26<br>Residual: -41.78\", \"Index: Patchett, Mr. George<br>Actual: 14.5<br>Prediction: 8.75<br>Residual: 5.75\", \"Index: Ross, Mr. John Hugo<br>Actual: 40.12<br>Prediction: 99.13<br>Residual: -59.01\", \"Index: Murdlin, Mr. Joseph<br>Actual: 8.05<br>Prediction: 9.65<br>Residual: -1.6\", \"Index: Bourke, Miss. Mary<br>Actual: 7.75<br>Prediction: 18.34<br>Residual: -10.59\", \"Index: Boulos, Mr. Hanna<br>Actual: 7.22<br>Prediction: 8.9<br>Residual: -1.68\", \"Index: Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Actual: 56.93<br>Prediction: 81.19<br>Residual: -24.26\", \"Index: Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Actual: 26.55<br>Prediction: 128.8<br>Residual: -102.25\", \"Index: Lindell, Mr. Edvard Bengtsson<br>Actual: 15.55<br>Prediction: 11.89<br>Residual: 3.66\", \"Index: Daniel, Mr. Robert Williams<br>Actual: 30.5<br>Prediction: 39.42<br>Residual: -8.92\", \"Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Actual: 41.58<br>Prediction: 30.4<br>Residual: 11.18\", \"Index: Shutes, Miss. Elizabeth W<br>Actual: 153.46<br>Prediction: 89.95<br>Residual: 63.51\", \"Index: Jardin, Mr. Jose Neto<br>Actual: 7.05<br>Prediction: 9.65<br>Residual: -2.6\", \"Index: Horgan, Mr. John<br>Actual: 7.75<br>Prediction: 8.9<br>Residual: -1.15\", \"Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Actual: 16.1<br>Prediction: 12.02<br>Residual: 4.08\", \"Index: Yasbeck, Mr. Antoni<br>Actual: 14.45<br>Prediction: 11.92<br>Residual: 2.53\", \"Index: Bostandyeff, Mr. Guentcho<br>Actual: 7.9<br>Prediction: 9.35<br>Residual: -1.45\", \"Index: Lundahl, Mr. Johan Svensson<br>Actual: 7.05<br>Prediction: 8.89<br>Residual: -1.83\", \"Index: Stahelin-Maeglin, Dr. Max<br>Actual: 30.5<br>Prediction: 154.37<br>Residual: -123.87\", \"Index: Willey, Mr. Edward<br>Actual: 7.55<br>Prediction: 9.65<br>Residual: -2.1\", \"Index: Stanley, Miss. Amy Zillah Elsie<br>Actual: 7.55<br>Prediction: 10.69<br>Residual: -3.14\", \"Index: Hegarty, Miss. Hanora \\\"Nora\\\"<br>Actual: 6.75<br>Prediction: 8.76<br>Residual: -2.01\", \"Index: Eitemiller, Mr. George Floyd<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75\", \"Index: Colley, Mr. Edward Pomeroy<br>Actual: 25.59<br>Prediction: 35.25<br>Residual: -9.66\", \"Index: Coleff, Mr. Peju<br>Actual: 7.5<br>Prediction: 8.89<br>Residual: -1.39\", \"Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Actual: 39.0<br>Prediction: 30.33<br>Residual: 8.67\", \"Index: Davidson, Mr. Thornton<br>Actual: 52.0<br>Prediction: 58.02<br>Residual: -6.02\", \"Index: Turja, Miss. Anna Sofia<br>Actual: 9.84<br>Prediction: 10.74<br>Residual: -0.9\", \"Index: Hassab, Mr. Hammad<br>Actual: 76.73<br>Prediction: 65.84<br>Residual: 10.88\", \"Index: Goodwin, Mr. Charles Edward<br>Actual: 46.9<br>Prediction: 45.35<br>Residual: 1.55\", \"Index: Panula, Mr. Jaako Arnold<br>Actual: 39.69<br>Prediction: 30.03<br>Residual: 9.66\", \"Index: Fischer, Mr. Eberhard Thelander<br>Actual: 7.8<br>Prediction: 8.81<br>Residual: -1.02\", \"Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Actual: 7.65<br>Prediction: 8.89<br>Residual: -1.24\", \"Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Actual: 227.52<br>Prediction: 92.48<br>Residual: 135.04\", \"Index: Hansen, Mr. Henrik Juul<br>Actual: 7.85<br>Prediction: 11.92<br>Residual: -4.07\", \"Index: Calderhead, Mr. Edward Pennington<br>Actual: 26.29<br>Prediction: 38.74<br>Residual: -12.45\", \"Index: Klaber, Mr. Herman<br>Actual: 26.55<br>Prediction: 56.46<br>Residual: -29.91\", \"Index: Taylor, Mr. Elmer Zebley<br>Actual: 52.0<br>Prediction: 66.53<br>Residual: -14.53\", \"Index: Larsson, Mr. August Viktor<br>Actual: 9.48<br>Prediction: 8.94<br>Residual: 0.54\", \"Index: Greenberg, Mr. Samuel<br>Actual: 13.0<br>Prediction: 14.29<br>Residual: -1.29\", \"Index: Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Actual: 10.5<br>Prediction: 13.94<br>Residual: -3.44\", \"Index: McEvoy, Mr. Michael<br>Actual: 15.5<br>Prediction: 8.9<br>Residual: 6.6\", \"Index: Johnson, Mr. Malkolm Joackim<br>Actual: 7.78<br>Prediction: 8.93<br>Residual: -1.16\", \"Index: Gillespie, Mr. William Henry<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97\", \"Index: Allen, Miss. Elisabeth Walton<br>Actual: 211.34<br>Prediction: 77.57<br>Residual: 133.77\", \"Index: Berriman, Mr. William John<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75\", \"Index: Troupiansky, Mr. Moses Aaron<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75\", \"Index: Williams, Mr. Leslie<br>Actual: 16.1<br>Prediction: 9.03<br>Residual: 7.07\", \"Index: Ivanoff, Mr. Kanio<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76\", \"Index: McNamee, Mr. Neal<br>Actual: 16.1<br>Prediction: 11.87<br>Residual: 4.23\", \"Index: Connaghton, Mr. Michael<br>Actual: 7.75<br>Prediction: 8.89<br>Residual: -1.14\", \"Index: Carlsson, Mr. August Sigfrid<br>Actual: 7.8<br>Prediction: 9.03<br>Residual: -1.24\", \"Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Actual: 86.5<br>Prediction: 83.69<br>Residual: 2.81\", \"Index: Eklund, Mr. Hans Linus<br>Actual: 7.78<br>Prediction: 8.85<br>Residual: -1.08\", \"Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Actual: 77.96<br>Prediction: 71.44<br>Residual: 6.52\", \"Index: Moran, Mr. Daniel J<br>Actual: 24.15<br>Prediction: 14.1<br>Residual: 10.05\", \"Index: Lievens, Mr. Rene Aime<br>Actual: 9.5<br>Prediction: 8.75<br>Residual: 0.75\", \"Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Actual: 211.34<br>Prediction: 113.43<br>Residual: 97.91\", \"Index: Ayoub, Miss. Banoura<br>Actual: 7.23<br>Prediction: 10.56<br>Residual: -3.33\", \"Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Actual: 57.0<br>Prediction: 81.34<br>Residual: -24.34\", \"Index: Johnston, Mr. Andrew G<br>Actual: 23.45<br>Prediction: 20.21<br>Residual: 3.24\", \"Index: Ali, Mr. William<br>Actual: 7.05<br>Prediction: 8.75<br>Residual: -1.7\", \"Index: Sjoblom, Miss. Anna Sofia<br>Actual: 7.5<br>Prediction: 10.74<br>Residual: -3.25\", \"Index: Guggenheim, Mr. Benjamin<br>Actual: 79.2<br>Prediction: 114.23<br>Residual: -35.03\", \"Index: Leader, Dr. Alice (Farnham)<br>Actual: 25.93<br>Prediction: 77.64<br>Residual: -51.72\", \"Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Actual: 26.25<br>Prediction: 29.85<br>Residual: -3.6\", \"Index: Carter, Master. William Thornton II<br>Actual: 120.0<br>Prediction: 121.63<br>Residual: -1.63\", \"Index: Thomas, Master. Assad Alexander<br>Actual: 8.52<br>Prediction: 12.37<br>Residual: -3.85\", \"Index: Johansson, Mr. Karl Johan<br>Actual: 7.78<br>Prediction: 8.94<br>Residual: -1.16\", \"Index: Slemen, Mr. Richard James<br>Actual: 10.5<br>Prediction: 14.17<br>Residual: -3.67\", \"Index: Tomlin, Mr. Ernest Portage<br>Actual: 8.05<br>Prediction: 8.94<br>Residual: -0.89\", \"Index: McCormack, Mr. Thomas Joseph<br>Actual: 7.75<br>Prediction: 11.94<br>Residual: -4.19\", \"Index: Richards, Master. George Sibley<br>Actual: 18.75<br>Prediction: 28.76<br>Residual: -10.01\", \"Index: Mudd, Mr. Thomas Charles<br>Actual: 10.5<br>Prediction: 15.11<br>Residual: -4.61\", \"Index: Lemberopolous, Mr. Peter L<br>Actual: 6.44<br>Prediction: 8.84<br>Residual: -2.4\", \"Index: Sage, Mr. Douglas Bullen<br>Actual: 69.55<br>Prediction: 68.73<br>Residual: 0.82\", \"Index: Boulos, Miss. Nourelain<br>Actual: 15.25<br>Prediction: 17.81<br>Residual: -2.56\", \"Index: Aks, Mrs. Sam (Leah Rosen)<br>Actual: 9.35<br>Prediction: 11.89<br>Residual: -2.54\", \"Index: Razi, Mr. Raihed<br>Actual: 7.23<br>Prediction: 8.9<br>Residual: -1.67\", \"Index: Johnson, Master. Harold Theodor<br>Actual: 11.13<br>Prediction: 18.08<br>Residual: -6.94\", \"Index: Carlsson, Mr. Frans Olof<br>Actual: 5.0<br>Prediction: 45.3<br>Residual: -40.3\", \"Index: Gustafsson, Mr. Alfred Ossian<br>Actual: 9.85<br>Prediction: 8.75<br>Residual: 1.09\", \"Index: Montvila, Rev. 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8.903487769796277, 18.07788778785757, 45.30150654688181, 8.751797332179994, 13.970535240820395], \"y\": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 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+       "<div>                            <div id=\"c73c3378-3876-48c5-a286-56687e155cdf\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"c73c3378-3876-48c5-a286-56687e155cdf\")) {                    Plotly.newPlot(                        \"c73c3378-3876-48c5-a286-56687e155cdf\",                        [{\"hoverinfo\": \"text\", \"mode\": \"markers\", \"name\": \"residuals (y-preds)\", \"text\": [\"Index: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Observed: 71.28<br>Prediction: 111.90<br>Residual: -40.62\", \"Index: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Observed: 53.10<br>Prediction: 84.10<br>Residual: -31.00\", \"Index: Palsson, Master. Gosta Leonard<br>Observed: 21.07<br>Prediction: 24.37<br>Residual: -3.29\", \"Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Observed: 11.13<br>Prediction: 18.78<br>Residual: -7.64\", \"Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Observed: 30.07<br>Prediction: 24.13<br>Residual: 5.94\", \"Index: Saundercock, Mr. William Henry<br>Observed: 8.05<br>Prediction: 9.01<br>Residual: -0.96\", \"Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Observed: 7.85<br>Prediction: 9.29<br>Residual: -1.43\", \"Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Observed: 31.39<br>Prediction: 25.49<br>Residual: 5.90\", \"Index: Glynn, Miss. Mary Agatha<br>Observed: 7.75<br>Prediction: 11.46<br>Residual: -3.71\", \"Index: Meyer, Mr. Edgar Joseph<br>Observed: 82.17<br>Prediction: 69.22<br>Residual: 12.95\", \"Index: Kraeff, Mr. Theodor<br>Observed: 7.90<br>Prediction: 9.30<br>Residual: -1.40\", \"Index: Devaney, Miss. Margaret Delia<br>Observed: 7.88<br>Prediction: 10.96<br>Residual: -3.09\", \"Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Observed: 17.80<br>Prediction: 13.12<br>Residual: 4.68\", \"Index: Rugg, Miss. Emily<br>Observed: 10.50<br>Prediction: 14.20<br>Residual: -3.70\", \"Index: Harris, Mr. Henry Birkhardt<br>Observed: 83.47<br>Prediction: 59.72<br>Residual: 23.75\", \"Index: Skoog, Master. Harald<br>Observed: 27.90<br>Prediction: 25.98<br>Residual: 1.92\", \"Index: Kink, Mr. Vincenz<br>Observed: 8.66<br>Prediction: 18.96<br>Residual: -10.29\", \"Index: Hood, Mr. Ambrose Jr<br>Observed: 73.50<br>Prediction: 14.14<br>Residual: 59.36\", \"Index: Ilett, Miss. Bertha<br>Observed: 10.50<br>Prediction: 15.84<br>Residual: -5.34\", \"Index: Ford, Mr. William Neal<br>Observed: 34.38<br>Prediction: 23.08<br>Residual: 11.30\", \"Index: Christmann, Mr. Emil<br>Observed: 8.05<br>Prediction: 9.09<br>Residual: -1.04\", \"Index: Andreasson, Mr. Paul Edvin<br>Observed: 7.85<br>Prediction: 9.01<br>Residual: -1.15\", \"Index: Chaffee, Mr. Herbert Fuller<br>Observed: 61.17<br>Prediction: 50.89<br>Residual: 10.28\", \"Index: Petroff, Mr. Pastcho (\\\"Pentcho\\\")<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54\", \"Index: White, Mr. Richard Frasar<br>Observed: 77.29<br>Prediction: 88.47<br>Residual: -11.18\", \"Index: Rekic, Mr. Tido<br>Observed: 7.90<br>Prediction: 9.07<br>Residual: -1.17\", \"Index: Moran, Miss. Bertha<br>Observed: 24.15<br>Prediction: 14.56<br>Residual: 9.59\", \"Index: Barton, Mr. David John<br>Observed: 8.05<br>Prediction: 9.01<br>Residual: -0.96\", \"Index: Jussila, Miss. Katriina<br>Observed: 9.82<br>Prediction: 13.12<br>Residual: -3.30\", \"Index: Pekoniemi, Mr. Edvard<br>Observed: 7.92<br>Prediction: 9.01<br>Residual: -1.08\", \"Index: Turpin, Mr. William John Robert<br>Observed: 21.00<br>Prediction: 24.72<br>Residual: -3.72\", \"Index: Moore, Mr. Leonard Charles<br>Observed: 8.05<br>Prediction: 9.44<br>Residual: -1.39\", \"Index: Osen, Mr. Olaf Elon<br>Observed: 9.22<br>Prediction: 9.01<br>Residual: 0.21\", \"Index: Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Observed: 34.38<br>Prediction: 24.43<br>Residual: 9.95\", \"Index: Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Observed: 26.00<br>Prediction: 26.44<br>Residual: -0.44\", \"Index: Bateman, Rev. Robert James<br>Observed: 12.53<br>Prediction: 14.20<br>Residual: -1.68\", \"Index: Meo, Mr. Alfonzo<br>Observed: 8.05<br>Prediction: 9.07<br>Residual: -1.02\", \"Index: Cribb, Mr. John Hatfield<br>Observed: 16.10<br>Prediction: 18.64<br>Residual: -2.54\", \"Index: Chibnall, Mrs. (Edith Martha Bowerman)<br>Observed: 55.00<br>Prediction: 106.26<br>Residual: -51.26\", \"Index: Van der hoef, Mr. Wyckoff<br>Observed: 33.50<br>Prediction: 35.44<br>Residual: -1.94\", \"Index: Sivola, Mr. Antti Wilhelm<br>Observed: 7.92<br>Prediction: 9.01<br>Residual: -1.08\", \"Index: Klasen, Mr. Klas Albin<br>Observed: 7.85<br>Prediction: 19.61<br>Residual: -11.75\", \"Index: Rood, Mr. Hugh Roscoe<br>Observed: 50.00<br>Prediction: 39.90<br>Residual: 10.10\", \"Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Observed: 7.85<br>Prediction: 14.43<br>Residual: -6.58\", \"Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Observed: 27.72<br>Prediction: 135.58<br>Residual: -107.86\", \"Index: Vande Walle, Mr. Nestor Cyriel<br>Observed: 9.50<br>Prediction: 9.56<br>Residual: -0.06\", \"Index: Backstrom, Mr. Karl Alfred<br>Observed: 15.85<br>Prediction: 13.06<br>Residual: 2.79\", \"Index: Blank, Mr. Henry<br>Observed: 31.00<br>Prediction: 74.74<br>Residual: -43.74\", \"Index: Ali, Mr. Ahmed<br>Observed: 7.05<br>Prediction: 9.01<br>Residual: -1.96\", \"Index: Green, Mr. George Henry<br>Observed: 8.05<br>Prediction: 9.07<br>Residual: -1.02\", \"Index: Nenkoff, Mr. Christo<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54\", \"Index: Asplund, Miss. Lillian Gertrud<br>Observed: 31.39<br>Prediction: 27.81<br>Residual: 3.58\", \"Index: Harknett, Miss. Alice Phoebe<br>Observed: 7.55<br>Prediction: 9.44<br>Residual: -1.89\", \"Index: Hunt, Mr. George Henry<br>Observed: 12.28<br>Prediction: 14.14<br>Residual: -1.87\", \"Index: Reed, Mr. James George<br>Observed: 7.25<br>Prediction: 9.44<br>Residual: -2.19\", \"Index: Stead, Mr. William Thomas<br>Observed: 26.55<br>Prediction: 44.84<br>Residual: -18.29\", \"Index: Thorne, Mrs. Gertrude Maybelle<br>Observed: 79.20<br>Prediction: 119.07<br>Residual: -39.87\", \"Index: Parrish, Mrs. (Lutie Davis)<br>Observed: 26.00<br>Prediction: 31.56<br>Residual: -5.56\", \"Index: Smith, Mr. Thomas<br>Observed: 7.75<br>Prediction: 9.30<br>Residual: -1.55\", \"Index: Asplund, Master. Edvin Rojj Felix<br>Observed: 31.39<br>Prediction: 28.09<br>Residual: 3.30\", \"Index: Healy, Miss. Hanora \\\"Nora\\\"<br>Observed: 7.75<br>Prediction: 11.46<br>Residual: -3.71\", \"Index: Andrews, Miss. Kornelia Theodosia<br>Observed: 77.96<br>Prediction: 61.94<br>Residual: 16.02\", \"Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Observed: 20.25<br>Prediction: 19.11<br>Residual: 1.14\", \"Index: Smith, Mr. Richard William<br>Observed: 26.00<br>Prediction: 39.90<br>Residual: -13.90\", \"Index: Connolly, Miss. Kate<br>Observed: 7.75<br>Prediction: 10.96<br>Residual: -3.21\", \"Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Observed: 91.08<br>Prediction: 107.12<br>Residual: -16.04\", \"Index: Levy, Mr. Rene Jacques<br>Observed: 12.88<br>Prediction: 14.14<br>Residual: -1.27\", \"Index: Lewy, Mr. Ervin G<br>Observed: 27.72<br>Prediction: 65.42<br>Residual: -37.70\", \"Index: Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Observed: 8.05<br>Prediction: 9.44<br>Residual: -1.39\", \"Index: Sage, Mr. George John Jr<br>Observed: 69.55<br>Prediction: 69.32<br>Residual: 0.23\", \"Index: Nysveen, Mr. Johan Hansen<br>Observed: 6.24<br>Prediction: 9.07<br>Residual: -2.83\", \"Index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Observed: 133.65<br>Prediction: 84.92<br>Residual: 48.73\", \"Index: Denkoff, Mr. Mitto<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54\", \"Index: Burns, Miss. Elizabeth Margaret<br>Observed: 134.50<br>Prediction: 101.93<br>Residual: 32.57\", \"Index: Dimic, Mr. Jovan<br>Observed: 8.66<br>Prediction: 9.07<br>Residual: -0.41\", \"Index: del Carlo, Mr. Sebastiano<br>Observed: 27.72<br>Prediction: 24.72<br>Residual: 3.00\", \"Index: Beavan, Mr. William Thomas<br>Observed: 8.05<br>Prediction: 9.01<br>Residual: -0.96\", \"Index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Observed: 82.17<br>Prediction: 111.31<br>Residual: -29.14\", \"Index: Widener, Mr. Harry Elkins<br>Observed: 211.50<br>Prediction: 122.54<br>Residual: 88.96\", \"Index: Gustafsson, Mr. Karl Gideon<br>Observed: 7.78<br>Prediction: 9.01<br>Residual: -1.23\", \"Index: Plotcharsky, Mr. Vasil<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54\", \"Index: Goodwin, Master. Sidney Leonard<br>Observed: 46.90<br>Prediction: 42.47<br>Residual: 4.43\", \"Index: Sadlier, Mr. Matthew<br>Observed: 7.73<br>Prediction: 9.30<br>Residual: -1.57\", \"Index: Gustafsson, Mr. Johan Birger<br>Observed: 7.92<br>Prediction: 19.24<br>Residual: -11.31\", \"Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Observed: 16.70<br>Prediction: 18.57<br>Residual: -1.87\", \"Index: Niskanen, Mr. Juha<br>Observed: 7.92<br>Prediction: 13.02<br>Residual: -5.10\", \"Index: Minahan, Miss. Daisy E<br>Observed: 90.00<br>Prediction: 97.22<br>Residual: -7.22\", \"Index: Matthews, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Charters, Mr. David<br>Observed: 7.73<br>Prediction: 9.01<br>Residual: -1.27\", \"Index: Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Observed: 26.00<br>Prediction: 14.20<br>Residual: 11.80\", \"Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Observed: 26.25<br>Prediction: 27.89<br>Residual: -1.64\", \"Index: Johannesen-Bratthammer, Mr. Bernt<br>Observed: 8.11<br>Prediction: 12.55<br>Residual: -4.43\", \"Index: Peuchen, Major. Arthur Godfrey<br>Observed: 30.50<br>Prediction: 45.07<br>Residual: -14.57\", \"Index: Anderson, Mr. Harry<br>Observed: 26.55<br>Prediction: 39.01<br>Residual: -12.46\", \"Index: Milling, Mr. Jacob Christian<br>Observed: 13.00<br>Prediction: 14.20<br>Residual: -1.20\", \"Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Observed: 27.75<br>Prediction: 29.99<br>Residual: -2.24\", \"Index: Karlsson, Mr. Nils August<br>Observed: 7.52<br>Prediction: 9.01<br>Residual: -1.49\", \"Index: Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Observed: 0.00<br>Prediction: 13.26<br>Residual: -13.26\", \"Index: Bishop, Mr. Dickinson H<br>Observed: 91.08<br>Prediction: 146.18<br>Residual: -55.10\", \"Index: Windelov, Mr. Einar<br>Observed: 7.25<br>Prediction: 9.01<br>Residual: -1.76\", \"Index: Shellard, Mr. Frederick William<br>Observed: 15.10<br>Prediction: 9.44<br>Residual: 5.66\", \"Index: Svensson, Mr. Olof<br>Observed: 7.80<br>Prediction: 9.01<br>Residual: -1.21\", \"Index: O'Sullivan, Miss. Bridget Mary<br>Observed: 7.63<br>Prediction: 9.30<br>Residual: -1.67\", \"Index: Laitinen, Miss. Kristina Sofia<br>Observed: 9.59<br>Prediction: 9.07<br>Residual: 0.52\", \"Index: Penasco y Castellana, Mr. Victor de Satode<br>Observed: 108.90<br>Prediction: 77.01<br>Residual: 31.89\", \"Index: Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Observed: 26.55<br>Prediction: 46.34<br>Residual: -19.79\", \"Index: Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Observed: 26.00<br>Prediction: 24.73<br>Residual: 1.27\", \"Index: Kassem, Mr. Fared<br>Observed: 7.23<br>Prediction: 9.30<br>Residual: -2.07\", \"Index: Cacic, Miss. Marija<br>Observed: 8.66<br>Prediction: 9.09<br>Residual: -0.43\", \"Index: Hart, Miss. Eva Miriam<br>Observed: 26.25<br>Prediction: 25.60<br>Residual: 0.65\", \"Index: Butt, Major. Archibald Willingham<br>Observed: 26.55<br>Prediction: 35.44<br>Residual: -8.89\", \"Index: Beane, Mr. Edward<br>Observed: 26.00<br>Prediction: 25.23<br>Residual: 0.77\", \"Index: Goldsmith, Mr. Frank John<br>Observed: 20.52<br>Prediction: 19.61<br>Residual: 0.92\", \"Index: Ohman, Miss. Velin<br>Observed: 7.78<br>Prediction: 11.60<br>Residual: -3.83\", \"Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Observed: 79.65<br>Prediction: 96.58<br>Residual: -16.93\", \"Index: Morrow, Mr. Thomas Rowan<br>Observed: 7.75<br>Prediction: 9.30<br>Residual: -1.55\", \"Index: Harris, Mr. George<br>Observed: 10.50<br>Prediction: 15.21<br>Residual: -4.71\", \"Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Observed: 51.48<br>Prediction: 107.98<br>Residual: -56.50\", \"Index: Patchett, Mr. George<br>Observed: 14.50<br>Prediction: 9.01<br>Residual: 5.49\", \"Index: Ross, Mr. John Hugo<br>Observed: 40.12<br>Prediction: 82.43<br>Residual: -42.30\", \"Index: Murdlin, Mr. Joseph<br>Observed: 8.05<br>Prediction: 9.44<br>Residual: -1.39\", \"Index: Bourke, Miss. Mary<br>Observed: 7.75<br>Prediction: 19.99<br>Residual: -12.24\", \"Index: Boulos, Mr. Hanna<br>Observed: 7.22<br>Prediction: 9.30<br>Residual: -2.07\", \"Index: Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Observed: 56.93<br>Prediction: 74.41<br>Residual: -17.48\", \"Index: Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Observed: 26.55<br>Prediction: 132.87<br>Residual: -106.32\", \"Index: Lindell, Mr. Edvard Bengtsson<br>Observed: 15.55<br>Prediction: 13.06<br>Residual: 2.49\", \"Index: Daniel, Mr. Robert Williams<br>Observed: 30.50<br>Prediction: 44.05<br>Residual: -13.55\", \"Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Observed: 41.58<br>Prediction: 30.66<br>Residual: 10.92\", \"Index: Shutes, Miss. Elizabeth W<br>Observed: 153.46<br>Prediction: 78.64<br>Residual: 74.82\", \"Index: Jardin, Mr. Jose Neto<br>Observed: 7.05<br>Prediction: 9.44<br>Residual: -2.39\", \"Index: Horgan, Mr. John<br>Observed: 7.75<br>Prediction: 9.30<br>Residual: -1.55\", \"Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Observed: 16.10<br>Prediction: 13.12<br>Residual: 2.98\", \"Index: Yasbeck, Mr. Antoni<br>Observed: 14.45<br>Prediction: 13.12<br>Residual: 1.33\", \"Index: Bostandyeff, Mr. Guentcho<br>Observed: 7.90<br>Prediction: 9.13<br>Residual: -1.23\", \"Index: Lundahl, Mr. Johan Svensson<br>Observed: 7.05<br>Prediction: 9.07<br>Residual: -2.01\", \"Index: Stahelin-Maeglin, Dr. Max<br>Observed: 30.50<br>Prediction: 167.14<br>Residual: -136.64\", \"Index: Willey, Mr. Edward<br>Observed: 7.55<br>Prediction: 9.44<br>Residual: -1.89\", \"Index: Stanley, Miss. Amy Zillah Elsie<br>Observed: 7.55<br>Prediction: 11.60<br>Residual: -4.05\", \"Index: Hegarty, Miss. Hanora \\\"Nora\\\"<br>Observed: 6.75<br>Prediction: 9.01<br>Residual: -2.26\", \"Index: Eitemiller, Mr. George Floyd<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Colley, Mr. Edward Pomeroy<br>Observed: 25.59<br>Prediction: 36.25<br>Residual: -10.66\", \"Index: Coleff, Mr. Peju<br>Observed: 7.50<br>Prediction: 9.07<br>Residual: -1.57\", \"Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Observed: 39.00<br>Prediction: 26.92<br>Residual: 12.08\", \"Index: Davidson, Mr. Thornton<br>Observed: 52.00<br>Prediction: 46.49<br>Residual: 5.51\", \"Index: Turja, Miss. Anna Sofia<br>Observed: 9.84<br>Prediction: 11.60<br>Residual: -1.76\", \"Index: Hassab, Mr. Hammad<br>Observed: 76.73<br>Prediction: 61.45<br>Residual: 15.28\", \"Index: Goodwin, Mr. Charles Edward<br>Observed: 46.90<br>Prediction: 42.47<br>Residual: 4.43\", \"Index: Panula, Mr. Jaako Arnold<br>Observed: 39.69<br>Prediction: 27.31<br>Residual: 12.38\", \"Index: Fischer, Mr. Eberhard Thelander<br>Observed: 7.80<br>Prediction: 9.01<br>Residual: -1.21\", \"Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Observed: 7.65<br>Prediction: 9.07<br>Residual: -1.42\", \"Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Observed: 227.53<br>Prediction: 90.87<br>Residual: 136.65\", \"Index: Hansen, Mr. Henrik Juul<br>Observed: 7.85<br>Prediction: 13.12<br>Residual: -5.27\", \"Index: Calderhead, Mr. Edward Pennington<br>Observed: 26.29<br>Prediction: 39.01<br>Residual: -12.72\", \"Index: Klaber, Mr. Herman<br>Observed: 26.55<br>Prediction: 58.88<br>Residual: -32.33\", \"Index: Taylor, Mr. Elmer Zebley<br>Observed: 52.00<br>Prediction: 59.95<br>Residual: -7.95\", \"Index: Larsson, Mr. August Viktor<br>Observed: 9.48<br>Prediction: 9.09<br>Residual: 0.39\", \"Index: Greenberg, Mr. Samuel<br>Observed: 13.00<br>Prediction: 14.20<br>Residual: -1.20\", \"Index: Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Observed: 10.50<br>Prediction: 14.20<br>Residual: -3.70\", \"Index: McEvoy, Mr. Michael<br>Observed: 15.50<br>Prediction: 9.30<br>Residual: 6.20\", \"Index: Johnson, Mr. Malkolm Joackim<br>Observed: 7.78<br>Prediction: 9.16<br>Residual: -1.38\", \"Index: Gillespie, Mr. William Henry<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Allen, Miss. Elisabeth Walton<br>Observed: 211.34<br>Prediction: 77.13<br>Residual: 134.21\", \"Index: Berriman, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Troupiansky, Mr. Moses Aaron<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Williams, Mr. Leslie<br>Observed: 16.10<br>Prediction: 9.56<br>Residual: 6.54\", \"Index: Ivanoff, Mr. Kanio<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54\", \"Index: McNamee, Mr. Neal<br>Observed: 16.10<br>Prediction: 13.12<br>Residual: 2.98\", \"Index: Connaghton, Mr. Michael<br>Observed: 7.75<br>Prediction: 9.09<br>Residual: -1.34\", \"Index: Carlsson, Mr. August Sigfrid<br>Observed: 7.80<br>Prediction: 9.56<br>Residual: -1.76\", \"Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Observed: 86.50<br>Prediction: 76.42<br>Residual: 10.08\", \"Index: Eklund, Mr. Hans Linus<br>Observed: 7.78<br>Prediction: 9.01<br>Residual: -1.23\", \"Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Observed: 77.96<br>Prediction: 61.93<br>Residual: 16.03\", \"Index: Moran, Mr. Daniel J<br>Observed: 24.15<br>Prediction: 13.77<br>Residual: 10.38\", \"Index: Lievens, Mr. Rene Aime<br>Observed: 9.50<br>Prediction: 9.01<br>Residual: 0.49\", \"Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Observed: 211.34<br>Prediction: 104.14<br>Residual: 107.20\", \"Index: Ayoub, Miss. Banoura<br>Observed: 7.23<br>Prediction: 11.14<br>Residual: -3.91\", \"Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Observed: 57.00<br>Prediction: 76.64<br>Residual: -19.64\", \"Index: Johnston, Mr. Andrew G<br>Observed: 23.45<br>Prediction: 22.47<br>Residual: 0.98\", \"Index: Ali, Mr. William<br>Observed: 7.05<br>Prediction: 9.01<br>Residual: -1.96\", \"Index: Sjoblom, Miss. Anna Sofia<br>Observed: 7.50<br>Prediction: 11.60<br>Residual: -4.11\", \"Index: Guggenheim, Mr. Benjamin<br>Observed: 79.20<br>Prediction: 120.52<br>Residual: -41.32\", \"Index: Leader, Dr. Alice (Farnham)<br>Observed: 25.93<br>Prediction: 60.75<br>Residual: -34.82\", \"Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Observed: 26.25<br>Prediction: 26.92<br>Residual: -0.67\", \"Index: Carter, Master. William Thornton II<br>Observed: 120.00<br>Prediction: 151.12<br>Residual: -31.12\", \"Index: Thomas, Master. Assad Alexander<br>Observed: 8.52<br>Prediction: 17.56<br>Residual: -9.04\", \"Index: Johansson, Mr. Karl Johan<br>Observed: 7.78<br>Prediction: 9.09<br>Residual: -1.32\", \"Index: Slemen, Mr. Richard James<br>Observed: 10.50<br>Prediction: 14.14<br>Residual: -3.64\", \"Index: Tomlin, Mr. Ernest Portage<br>Observed: 8.05<br>Prediction: 9.09<br>Residual: -1.04\", \"Index: McCormack, Mr. Thomas Joseph<br>Observed: 7.75<br>Prediction: 11.77<br>Residual: -4.02\", \"Index: Richards, Master. George Sibley<br>Observed: 18.75<br>Prediction: 26.93<br>Residual: -8.18\", \"Index: Mudd, Mr. Thomas Charles<br>Observed: 10.50<br>Prediction: 15.78<br>Residual: -5.28\", \"Index: Lemberopolous, Mr. Peter L<br>Observed: 6.44<br>Prediction: 9.07<br>Residual: -2.63\", \"Index: Sage, Mr. Douglas Bullen<br>Observed: 69.55<br>Prediction: 69.32<br>Residual: 0.23\", \"Index: Boulos, Miss. Nourelain<br>Observed: 15.25<br>Prediction: 19.61<br>Residual: -4.36\", \"Index: Aks, Mrs. Sam (Leah Rosen)<br>Observed: 9.35<br>Prediction: 17.75<br>Residual: -8.40\", \"Index: Razi, Mr. Raihed<br>Observed: 7.23<br>Prediction: 9.30<br>Residual: -2.07\", \"Index: Johnson, Master. Harold Theodor<br>Observed: 11.13<br>Prediction: 19.11<br>Residual: -7.98\", \"Index: Carlsson, Mr. Frans Olof<br>Observed: 5.00<br>Prediction: 36.55<br>Residual: -31.55\", \"Index: Gustafsson, Mr. Alfred Ossian<br>Observed: 9.85<br>Prediction: 9.01<br>Residual: 0.84\", \"Index: Montvila, Rev. Juozas<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14\"], \"type\": \"scattergl\", \"x\": [111.90087359539571, 84.09742220770202, 24.369916464093386, 18.775562271086628, 24.130275177894813, 9.006814770944379, 9.28827992323908, 25.48883213144731, 11.455742315342409, 69.22059030242052, 9.2950846397192, 10.96427182306066, 13.12398985411239, 14.201714669987096, 59.72036826916695, 25.976592460880603, 18.95685918221574, 14.144990184656542, 15.837900274270362, 23.075119737017157, 9.092362015016242, 9.006814770944379, 50.891091484081926, 9.435221050433485, 88.47102333995335, 9.067622778208255, 14.562097748510903, 9.006814770944379, 13.12398985411239, 9.006814770944379, 24.71654901772773, 9.435221050433485, 9.006814770944379, 24.426653325437925, 26.441953376846804, 14.20143302151831, 9.067622778208255, 18.640751733033024, 106.25755972150357, 35.44077168987099, 9.006814770944379, 19.60607379240498, 39.90341762917515, 14.430104440539147, 135.57689474731086, 9.55762547126715, 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19.110770142934726, 36.55473081530463, 9.006814770944379, 14.144990184656542], \"y\": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 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        "                            \n",
-       "var gd = document.getElementById('9e27349a-3bb7-4dcd-8c58-04dd4a274d11');\n",
+       "var gd = document.getElementById('c73c3378-3876-48c5-a286-56687e155cdf');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -120697,11 +82228,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 77,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:47:45.939439Z",
-     "start_time": "2020-10-12T08:47:45.925168Z"
+     "end_time": "2021-01-20T16:04:14.751281Z",
+     "start_time": "2021-01-20T16:04:14.735143Z"
     }
    },
    "outputs": [
@@ -120717,208 +82248,208 @@
          "mode": "markers",
          "name": "residuals ratio<br>(y/preds)",
          "text": [
-          "Index: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Actual: 71.28<br>Prediction: 115.74<br>Residual: -44.46",
-          "Index: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Actual: 53.1<br>Prediction: 85.71<br>Residual: -32.61",
-          "Index: Palsson, Master. Gosta Leonard<br>Actual: 21.08<br>Prediction: 27.59<br>Residual: -6.51",
-          "Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Actual: 11.13<br>Prediction: 18.0<br>Residual: -6.87",
-          "Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Actual: 30.07<br>Prediction: 22.78<br>Residual: 7.29",
-          "Index: Saundercock, Mr. William Henry<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7",
-          "Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Actual: 7.85<br>Prediction: 9.69<br>Residual: -1.83",
-          "Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Actual: 31.39<br>Prediction: 28.86<br>Residual: 2.53",
-          "Index: Glynn, Miss. Mary Agatha<br>Actual: 7.75<br>Prediction: 10.71<br>Residual: -2.96",
-          "Index: Meyer, Mr. Edgar Joseph<br>Actual: 82.17<br>Prediction: 75.17<br>Residual: 7.0",
-          "Index: Kraeff, Mr. Theodor<br>Actual: 7.9<br>Prediction: 8.9<br>Residual: -1.01",
-          "Index: Devaney, Miss. Margaret Delia<br>Actual: 7.88<br>Prediction: 10.34<br>Residual: -2.46",
-          "Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Actual: 17.8<br>Prediction: 11.97<br>Residual: 5.83",
-          "Index: Rugg, Miss. Emily<br>Actual: 10.5<br>Prediction: 13.72<br>Residual: -3.22",
-          "Index: Harris, Mr. Henry Birkhardt<br>Actual: 83.48<br>Prediction: 67.48<br>Residual: 16.0",
-          "Index: Skoog, Master. Harald<br>Actual: 27.9<br>Prediction: 30.03<br>Residual: -2.13",
-          "Index: Kink, Mr. Vincenz<br>Actual: 8.66<br>Prediction: 18.66<br>Residual: -10.0",
-          "Index: Hood, Mr. Ambrose Jr<br>Actual: 73.5<br>Prediction: 13.75<br>Residual: 59.75",
-          "Index: Ilett, Miss. Bertha<br>Actual: 10.5<br>Prediction: 14.94<br>Residual: -4.44",
-          "Index: Ford, Mr. William Neal<br>Actual: 34.38<br>Prediction: 27.46<br>Residual: 6.91",
-          "Index: Christmann, Mr. Emil<br>Actual: 8.05<br>Prediction: 8.94<br>Residual: -0.89",
-          "Index: Andreasson, Mr. Paul Edvin<br>Actual: 7.85<br>Prediction: 8.75<br>Residual: -0.9",
-          "Index: Chaffee, Mr. Herbert Fuller<br>Actual: 61.18<br>Prediction: 58.4<br>Residual: 2.78",
-          "Index: Petroff, Mr. Pastcho (\"Pentcho\")<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76",
-          "Index: White, Mr. Richard Frasar<br>Actual: 77.29<br>Prediction: 84.89<br>Residual: -7.6",
-          "Index: Rekic, Mr. Tido<br>Actual: 7.9<br>Prediction: 8.89<br>Residual: -0.99",
-          "Index: Moran, Miss. Bertha<br>Actual: 24.15<br>Prediction: 13.89<br>Residual: 10.26",
-          "Index: Barton, Mr. David John<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7",
-          "Index: Jussila, Miss. Katriina<br>Actual: 9.82<br>Prediction: 11.97<br>Residual: -2.15",
-          "Index: Pekoniemi, Mr. Edvard<br>Actual: 7.92<br>Prediction: 8.75<br>Residual: -0.83",
-          "Index: Turpin, Mr. William John Robert<br>Actual: 21.0<br>Prediction: 24.75<br>Residual: -3.75",
-          "Index: Moore, Mr. Leonard Charles<br>Actual: 8.05<br>Prediction: 9.65<br>Residual: -1.6",
-          "Index: Osen, Mr. Olaf Elon<br>Actual: 9.22<br>Prediction: 8.85<br>Residual: 0.36",
-          "Index: Ford, Miss. Robina Maggie \"Ruby\"<br>Actual: 34.38<br>Prediction: 27.59<br>Residual: 6.79",
-          "Index: Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Actual: 26.0<br>Prediction: 30.67<br>Residual: -4.67",
-          "Index: Bateman, Rev. Robert James<br>Actual: 12.52<br>Prediction: 14.29<br>Residual: -1.77",
-          "Index: Meo, Mr. Alfonzo<br>Actual: 8.05<br>Prediction: 8.89<br>Residual: -0.84",
-          "Index: Cribb, Mr. John Hatfield<br>Actual: 16.1<br>Prediction: 11.93<br>Residual: 4.17",
-          "Index: Chibnall, Mrs. (Edith Martha Bowerman)<br>Actual: 55.0<br>Prediction: 93.29<br>Residual: -38.29",
-          "Index: Van der hoef, Mr. Wyckoff<br>Actual: 33.5<br>Prediction: 40.87<br>Residual: -7.37",
-          "Index: Sivola, Mr. Antti Wilhelm<br>Actual: 7.92<br>Prediction: 8.75<br>Residual: -0.83",
-          "Index: Klasen, Mr. Klas Albin<br>Actual: 7.85<br>Prediction: 18.0<br>Residual: -10.14",
-          "Index: Rood, Mr. Hugh Roscoe<br>Actual: 50.0<br>Prediction: 40.55<br>Residual: 9.45",
-          "Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Actual: 7.85<br>Prediction: 11.9<br>Residual: -4.04",
-          "Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Actual: 27.72<br>Prediction: 134.65<br>Residual: -106.93",
-          "Index: Vande Walle, Mr. Nestor Cyriel<br>Actual: 9.5<br>Prediction: 9.03<br>Residual: 0.47",
-          "Index: Backstrom, Mr. Karl Alfred<br>Actual: 15.85<br>Prediction: 11.89<br>Residual: 3.96",
-          "Index: Blank, Mr. Henry<br>Actual: 31.0<br>Prediction: 82.07<br>Residual: -51.07",
-          "Index: Ali, Mr. Ahmed<br>Actual: 7.05<br>Prediction: 8.75<br>Residual: -1.7",
-          "Index: Green, Mr. George Henry<br>Actual: 8.05<br>Prediction: 8.89<br>Residual: -0.84",
-          "Index: Nenkoff, Mr. Christo<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76",
-          "Index: Asplund, Miss. Lillian Gertrud<br>Actual: 31.39<br>Prediction: 29.14<br>Residual: 2.25",
-          "Index: Harknett, Miss. Alice Phoebe<br>Actual: 7.55<br>Prediction: 9.65<br>Residual: -2.1",
-          "Index: Hunt, Mr. George Henry<br>Actual: 12.28<br>Prediction: 13.97<br>Residual: -1.7",
-          "Index: Reed, Mr. James George<br>Actual: 7.25<br>Prediction: 9.65<br>Residual: -2.4",
-          "Index: Stead, Mr. William Thomas<br>Actual: 26.55<br>Prediction: 43.47<br>Residual: -16.92",
-          "Index: Thorne, Mrs. Gertrude Maybelle<br>Actual: 79.2<br>Prediction: 101.1<br>Residual: -21.9",
-          "Index: Parrish, Mrs. (Lutie Davis)<br>Actual: 26.0<br>Prediction: 24.6<br>Residual: 1.4",
-          "Index: Smith, Mr. Thomas<br>Actual: 7.75<br>Prediction: 8.9<br>Residual: -1.15",
-          "Index: Asplund, Master. Edvin Rojj Felix<br>Actual: 31.39<br>Prediction: 29.14<br>Residual: 2.25",
-          "Index: Healy, Miss. Hanora \"Nora\"<br>Actual: 7.75<br>Prediction: 10.71<br>Residual: -2.96",
-          "Index: Andrews, Miss. Kornelia Theodosia<br>Actual: 77.96<br>Prediction: 71.44<br>Residual: 6.52",
-          "Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Actual: 20.25<br>Prediction: 18.0<br>Residual: 2.25",
-          "Index: Smith, Mr. Richard William<br>Actual: 26.0<br>Prediction: 40.55<br>Residual: -14.55",
-          "Index: Connolly, Miss. Kate<br>Actual: 7.75<br>Prediction: 10.34<br>Residual: -2.59",
-          "Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Actual: 91.08<br>Prediction: 110.98<br>Residual: -19.9",
-          "Index: Levy, Mr. Rene Jacques<br>Actual: 12.88<br>Prediction: 14.17<br>Residual: -1.3",
-          "Index: Lewy, Mr. Ervin G<br>Actual: 27.72<br>Prediction: 62.14<br>Residual: -34.41",
-          "Index: Williams, Mr. Howard Hugh \"Harry\"<br>Actual: 8.05<br>Prediction: 9.65<br>Residual: -1.6",
-          "Index: Sage, Mr. George John Jr<br>Actual: 69.55<br>Prediction: 68.73<br>Residual: 0.82",
-          "Index: Nysveen, Mr. Johan Hansen<br>Actual: 6.24<br>Prediction: 8.89<br>Residual: -2.65",
-          "Index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Actual: 133.65<br>Prediction: 87.49<br>Residual: 46.16",
-          "Index: Denkoff, Mr. Mitto<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76",
-          "Index: Burns, Miss. Elizabeth Margaret<br>Actual: 134.5<br>Prediction: 112.92<br>Residual: 21.58",
-          "Index: Dimic, Mr. Jovan<br>Actual: 8.66<br>Prediction: 8.89<br>Residual: -0.23",
-          "Index: del Carlo, Mr. Sebastiano<br>Actual: 27.72<br>Prediction: 24.41<br>Residual: 3.31",
-          "Index: Beavan, Mr. William Thomas<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7",
-          "Index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Actual: 82.17<br>Prediction: 100.49<br>Residual: -18.32",
-          "Index: Widener, Mr. Harry Elkins<br>Actual: 211.5<br>Prediction: 105.42<br>Residual: 106.08",
-          "Index: Gustafsson, Mr. Karl Gideon<br>Actual: 7.78<br>Prediction: 8.75<br>Residual: -0.98",
-          "Index: Plotcharsky, Mr. Vasil<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76",
-          "Index: Goodwin, Master. Sidney Leonard<br>Actual: 46.9<br>Prediction: 45.35<br>Residual: 1.55",
-          "Index: Sadlier, Mr. Matthew<br>Actual: 7.73<br>Prediction: 8.9<br>Residual: -1.17",
-          "Index: Gustafsson, Mr. Johan Birger<br>Actual: 7.92<br>Prediction: 18.66<br>Residual: -10.74",
-          "Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Actual: 16.7<br>Prediction: 18.0<br>Residual: -1.3",
-          "Index: Niskanen, Mr. Juha<br>Actual: 7.92<br>Prediction: 14.11<br>Residual: -6.18",
-          "Index: Minahan, Miss. Daisy E<br>Actual: 90.0<br>Prediction: 92.35<br>Residual: -2.35",
-          "Index: Matthews, Mr. William John<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97",
-          "Index: Charters, Mr. David<br>Actual: 7.73<br>Prediction: 8.7<br>Residual: -0.97",
-          "Index: Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Actual: 26.0<br>Prediction: 13.72<br>Residual: 12.28",
-          "Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Actual: 26.25<br>Prediction: 30.6<br>Residual: -4.35",
-          "Index: Johannesen-Bratthammer, Mr. Bernt<br>Actual: 8.11<br>Prediction: 12.99<br>Residual: -4.87",
-          "Index: Peuchen, Major. Arthur Godfrey<br>Actual: 30.5<br>Prediction: 45.79<br>Residual: -15.29",
-          "Index: Anderson, Mr. Harry<br>Actual: 26.55<br>Prediction: 38.74<br>Residual: -12.19",
-          "Index: Milling, Mr. Jacob Christian<br>Actual: 13.0<br>Prediction: 14.29<br>Residual: -1.29",
-          "Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Actual: 27.75<br>Prediction: 31.37<br>Residual: -3.62",
-          "Index: Karlsson, Mr. Nils August<br>Actual: 7.52<br>Prediction: 8.75<br>Residual: -1.23",
-          "Index: Frost, Mr. Anthony Wood \"Archie\"<br>Actual: 0.0<br>Prediction: 11.22<br>Residual: -11.22",
-          "Index: Bishop, Mr. Dickinson H<br>Actual: 91.08<br>Prediction: 147.49<br>Residual: -56.41",
-          "Index: Windelov, Mr. Einar<br>Actual: 7.25<br>Prediction: 8.75<br>Residual: -1.5",
-          "Index: Shellard, Mr. Frederick William<br>Actual: 15.1<br>Prediction: 9.65<br>Residual: 5.45",
-          "Index: Svensson, Mr. Olof<br>Actual: 7.8<br>Prediction: 8.75<br>Residual: -0.96",
-          "Index: O'Sullivan, Miss. Bridget Mary<br>Actual: 7.63<br>Prediction: 8.9<br>Residual: -1.27",
-          "Index: Laitinen, Miss. Kristina Sofia<br>Actual: 9.59<br>Prediction: 8.89<br>Residual: 0.7",
-          "Index: Penasco y Castellana, Mr. Victor de Satode<br>Actual: 108.9<br>Prediction: 79.23<br>Residual: 29.67",
-          "Index: Bradley, Mr. George (\"George Arthur Brayton\")<br>Actual: 26.55<br>Prediction: 42.89<br>Residual: -16.34",
-          "Index: Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Actual: 26.0<br>Prediction: 24.59<br>Residual: 1.41",
-          "Index: Kassem, Mr. Fared<br>Actual: 7.23<br>Prediction: 8.9<br>Residual: -1.67",
-          "Index: Cacic, Miss. Marija<br>Actual: 8.66<br>Prediction: 8.94<br>Residual: -0.28",
-          "Index: Hart, Miss. Eva Miriam<br>Actual: 26.25<br>Prediction: 29.02<br>Residual: -2.77",
-          "Index: Butt, Major. Archibald Willingham<br>Actual: 26.55<br>Prediction: 44.81<br>Residual: -18.26",
-          "Index: Beane, Mr. Edward<br>Actual: 26.0<br>Prediction: 24.75<br>Residual: 1.25",
-          "Index: Goldsmith, Mr. Frank John<br>Actual: 20.52<br>Prediction: 18.0<br>Residual: 2.53",
-          "Index: Ohman, Miss. Velin<br>Actual: 7.78<br>Prediction: 10.69<br>Residual: -2.91",
-          "Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Actual: 79.65<br>Prediction: 96.19<br>Residual: -16.54",
-          "Index: Morrow, Mr. Thomas Rowan<br>Actual: 7.75<br>Prediction: 8.9<br>Residual: -1.15",
-          "Index: Harris, Mr. George<br>Actual: 10.5<br>Prediction: 15.12<br>Residual: -4.62",
-          "Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Actual: 51.48<br>Prediction: 93.26<br>Residual: -41.78",
-          "Index: Patchett, Mr. George<br>Actual: 14.5<br>Prediction: 8.75<br>Residual: 5.75",
-          "Index: Ross, Mr. John Hugo<br>Actual: 40.12<br>Prediction: 99.13<br>Residual: -59.01",
-          "Index: Murdlin, Mr. Joseph<br>Actual: 8.05<br>Prediction: 9.65<br>Residual: -1.6",
-          "Index: Bourke, Miss. Mary<br>Actual: 7.75<br>Prediction: 18.34<br>Residual: -10.59",
-          "Index: Boulos, Mr. Hanna<br>Actual: 7.22<br>Prediction: 8.9<br>Residual: -1.68",
-          "Index: Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Actual: 56.93<br>Prediction: 81.19<br>Residual: -24.26",
-          "Index: Homer, Mr. Harry (\"Mr E Haven\")<br>Actual: 26.55<br>Prediction: 128.8<br>Residual: -102.25",
-          "Index: Lindell, Mr. Edvard Bengtsson<br>Actual: 15.55<br>Prediction: 11.89<br>Residual: 3.66",
-          "Index: Daniel, Mr. Robert Williams<br>Actual: 30.5<br>Prediction: 39.42<br>Residual: -8.92",
-          "Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Actual: 41.58<br>Prediction: 30.4<br>Residual: 11.18",
-          "Index: Shutes, Miss. Elizabeth W<br>Actual: 153.46<br>Prediction: 89.95<br>Residual: 63.51",
-          "Index: Jardin, Mr. Jose Neto<br>Actual: 7.05<br>Prediction: 9.65<br>Residual: -2.6",
-          "Index: Horgan, Mr. John<br>Actual: 7.75<br>Prediction: 8.9<br>Residual: -1.15",
-          "Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Actual: 16.1<br>Prediction: 12.02<br>Residual: 4.08",
-          "Index: Yasbeck, Mr. Antoni<br>Actual: 14.45<br>Prediction: 11.92<br>Residual: 2.53",
-          "Index: Bostandyeff, Mr. Guentcho<br>Actual: 7.9<br>Prediction: 9.35<br>Residual: -1.45",
-          "Index: Lundahl, Mr. Johan Svensson<br>Actual: 7.05<br>Prediction: 8.89<br>Residual: -1.83",
-          "Index: Stahelin-Maeglin, Dr. Max<br>Actual: 30.5<br>Prediction: 154.37<br>Residual: -123.87",
-          "Index: Willey, Mr. Edward<br>Actual: 7.55<br>Prediction: 9.65<br>Residual: -2.1",
-          "Index: Stanley, Miss. Amy Zillah Elsie<br>Actual: 7.55<br>Prediction: 10.69<br>Residual: -3.14",
-          "Index: Hegarty, Miss. Hanora \"Nora\"<br>Actual: 6.75<br>Prediction: 8.76<br>Residual: -2.01",
-          "Index: Eitemiller, Mr. George Floyd<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75",
-          "Index: Colley, Mr. Edward Pomeroy<br>Actual: 25.59<br>Prediction: 35.25<br>Residual: -9.66",
-          "Index: Coleff, Mr. Peju<br>Actual: 7.5<br>Prediction: 8.89<br>Residual: -1.39",
-          "Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Actual: 39.0<br>Prediction: 30.33<br>Residual: 8.67",
-          "Index: Davidson, Mr. Thornton<br>Actual: 52.0<br>Prediction: 58.02<br>Residual: -6.02",
-          "Index: Turja, Miss. Anna Sofia<br>Actual: 9.84<br>Prediction: 10.74<br>Residual: -0.9",
-          "Index: Hassab, Mr. Hammad<br>Actual: 76.73<br>Prediction: 65.84<br>Residual: 10.88",
-          "Index: Goodwin, Mr. Charles Edward<br>Actual: 46.9<br>Prediction: 45.35<br>Residual: 1.55",
-          "Index: Panula, Mr. Jaako Arnold<br>Actual: 39.69<br>Prediction: 30.03<br>Residual: 9.66",
-          "Index: Fischer, Mr. Eberhard Thelander<br>Actual: 7.8<br>Prediction: 8.81<br>Residual: -1.02",
-          "Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Actual: 7.65<br>Prediction: 8.89<br>Residual: -1.24",
-          "Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Actual: 227.52<br>Prediction: 92.48<br>Residual: 135.04",
-          "Index: Hansen, Mr. Henrik Juul<br>Actual: 7.85<br>Prediction: 11.92<br>Residual: -4.07",
-          "Index: Calderhead, Mr. Edward Pennington<br>Actual: 26.29<br>Prediction: 38.74<br>Residual: -12.45",
-          "Index: Klaber, Mr. Herman<br>Actual: 26.55<br>Prediction: 56.46<br>Residual: -29.91",
-          "Index: Taylor, Mr. Elmer Zebley<br>Actual: 52.0<br>Prediction: 66.53<br>Residual: -14.53",
-          "Index: Larsson, Mr. August Viktor<br>Actual: 9.48<br>Prediction: 8.94<br>Residual: 0.54",
-          "Index: Greenberg, Mr. Samuel<br>Actual: 13.0<br>Prediction: 14.29<br>Residual: -1.29",
-          "Index: Troutt, Miss. Edwina Celia \"Winnie\"<br>Actual: 10.5<br>Prediction: 13.94<br>Residual: -3.44",
-          "Index: McEvoy, Mr. Michael<br>Actual: 15.5<br>Prediction: 8.9<br>Residual: 6.6",
-          "Index: Johnson, Mr. Malkolm Joackim<br>Actual: 7.78<br>Prediction: 8.93<br>Residual: -1.16",
-          "Index: Gillespie, Mr. William Henry<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97",
-          "Index: Allen, Miss. Elisabeth Walton<br>Actual: 211.34<br>Prediction: 77.57<br>Residual: 133.77",
-          "Index: Berriman, Mr. William John<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75",
-          "Index: Troupiansky, Mr. Moses Aaron<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75",
-          "Index: Williams, Mr. Leslie<br>Actual: 16.1<br>Prediction: 9.03<br>Residual: 7.07",
-          "Index: Ivanoff, Mr. Kanio<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76",
-          "Index: McNamee, Mr. Neal<br>Actual: 16.1<br>Prediction: 11.87<br>Residual: 4.23",
-          "Index: Connaghton, Mr. Michael<br>Actual: 7.75<br>Prediction: 8.89<br>Residual: -1.14",
-          "Index: Carlsson, Mr. August Sigfrid<br>Actual: 7.8<br>Prediction: 9.03<br>Residual: -1.24",
-          "Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Actual: 86.5<br>Prediction: 83.69<br>Residual: 2.81",
-          "Index: Eklund, Mr. Hans Linus<br>Actual: 7.78<br>Prediction: 8.85<br>Residual: -1.08",
-          "Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Actual: 77.96<br>Prediction: 71.44<br>Residual: 6.52",
-          "Index: Moran, Mr. Daniel J<br>Actual: 24.15<br>Prediction: 14.1<br>Residual: 10.05",
-          "Index: Lievens, Mr. Rene Aime<br>Actual: 9.5<br>Prediction: 8.75<br>Residual: 0.75",
-          "Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Actual: 211.34<br>Prediction: 113.43<br>Residual: 97.91",
-          "Index: Ayoub, Miss. Banoura<br>Actual: 7.23<br>Prediction: 10.56<br>Residual: -3.33",
-          "Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Actual: 57.0<br>Prediction: 81.34<br>Residual: -24.34",
-          "Index: Johnston, Mr. Andrew G<br>Actual: 23.45<br>Prediction: 20.21<br>Residual: 3.24",
-          "Index: Ali, Mr. William<br>Actual: 7.05<br>Prediction: 8.75<br>Residual: -1.7",
-          "Index: Sjoblom, Miss. Anna Sofia<br>Actual: 7.5<br>Prediction: 10.74<br>Residual: -3.25",
-          "Index: Guggenheim, Mr. Benjamin<br>Actual: 79.2<br>Prediction: 114.23<br>Residual: -35.03",
-          "Index: Leader, Dr. Alice (Farnham)<br>Actual: 25.93<br>Prediction: 77.64<br>Residual: -51.72",
-          "Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Actual: 26.25<br>Prediction: 29.85<br>Residual: -3.6",
-          "Index: Carter, Master. William Thornton II<br>Actual: 120.0<br>Prediction: 121.63<br>Residual: -1.63",
-          "Index: Thomas, Master. Assad Alexander<br>Actual: 8.52<br>Prediction: 12.37<br>Residual: -3.85",
-          "Index: Johansson, Mr. Karl Johan<br>Actual: 7.78<br>Prediction: 8.94<br>Residual: -1.16",
-          "Index: Slemen, Mr. Richard James<br>Actual: 10.5<br>Prediction: 14.17<br>Residual: -3.67",
-          "Index: Tomlin, Mr. Ernest Portage<br>Actual: 8.05<br>Prediction: 8.94<br>Residual: -0.89",
-          "Index: McCormack, Mr. Thomas Joseph<br>Actual: 7.75<br>Prediction: 11.94<br>Residual: -4.19",
-          "Index: Richards, Master. George Sibley<br>Actual: 18.75<br>Prediction: 28.76<br>Residual: -10.01",
-          "Index: Mudd, Mr. Thomas Charles<br>Actual: 10.5<br>Prediction: 15.11<br>Residual: -4.61",
-          "Index: Lemberopolous, Mr. Peter L<br>Actual: 6.44<br>Prediction: 8.84<br>Residual: -2.4",
-          "Index: Sage, Mr. Douglas Bullen<br>Actual: 69.55<br>Prediction: 68.73<br>Residual: 0.82",
-          "Index: Boulos, Miss. Nourelain<br>Actual: 15.25<br>Prediction: 17.81<br>Residual: -2.56",
-          "Index: Aks, Mrs. Sam (Leah Rosen)<br>Actual: 9.35<br>Prediction: 11.89<br>Residual: -2.54",
-          "Index: Razi, Mr. Raihed<br>Actual: 7.23<br>Prediction: 8.9<br>Residual: -1.67",
-          "Index: Johnson, Master. Harold Theodor<br>Actual: 11.13<br>Prediction: 18.08<br>Residual: -6.94",
-          "Index: Carlsson, Mr. Frans Olof<br>Actual: 5.0<br>Prediction: 45.3<br>Residual: -40.3",
-          "Index: Gustafsson, Mr. Alfred Ossian<br>Actual: 9.85<br>Prediction: 8.75<br>Residual: 1.09",
-          "Index: Montvila, Rev. Juozas<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97"
-         ],
-         "type": "scatter",
+          "Index: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Observed: 71.28<br>Prediction: 111.90<br>Residual: -40.62",
+          "Index: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Observed: 53.10<br>Prediction: 84.10<br>Residual: -31.00",
+          "Index: Palsson, Master. Gosta Leonard<br>Observed: 21.07<br>Prediction: 24.37<br>Residual: -3.29",
+          "Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Observed: 11.13<br>Prediction: 18.78<br>Residual: -7.64",
+          "Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Observed: 30.07<br>Prediction: 24.13<br>Residual: 5.94",
+          "Index: Saundercock, Mr. William Henry<br>Observed: 8.05<br>Prediction: 9.01<br>Residual: -0.96",
+          "Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Observed: 7.85<br>Prediction: 9.29<br>Residual: -1.43",
+          "Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Observed: 31.39<br>Prediction: 25.49<br>Residual: 5.90",
+          "Index: Glynn, Miss. Mary Agatha<br>Observed: 7.75<br>Prediction: 11.46<br>Residual: -3.71",
+          "Index: Meyer, Mr. Edgar Joseph<br>Observed: 82.17<br>Prediction: 69.22<br>Residual: 12.95",
+          "Index: Kraeff, Mr. Theodor<br>Observed: 7.90<br>Prediction: 9.30<br>Residual: -1.40",
+          "Index: Devaney, Miss. Margaret Delia<br>Observed: 7.88<br>Prediction: 10.96<br>Residual: -3.09",
+          "Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Observed: 17.80<br>Prediction: 13.12<br>Residual: 4.68",
+          "Index: Rugg, Miss. Emily<br>Observed: 10.50<br>Prediction: 14.20<br>Residual: -3.70",
+          "Index: Harris, Mr. Henry Birkhardt<br>Observed: 83.47<br>Prediction: 59.72<br>Residual: 23.75",
+          "Index: Skoog, Master. Harald<br>Observed: 27.90<br>Prediction: 25.98<br>Residual: 1.92",
+          "Index: Kink, Mr. Vincenz<br>Observed: 8.66<br>Prediction: 18.96<br>Residual: -10.29",
+          "Index: Hood, Mr. Ambrose Jr<br>Observed: 73.50<br>Prediction: 14.14<br>Residual: 59.36",
+          "Index: Ilett, Miss. Bertha<br>Observed: 10.50<br>Prediction: 15.84<br>Residual: -5.34",
+          "Index: Ford, Mr. William Neal<br>Observed: 34.38<br>Prediction: 23.08<br>Residual: 11.30",
+          "Index: Christmann, Mr. Emil<br>Observed: 8.05<br>Prediction: 9.09<br>Residual: -1.04",
+          "Index: Andreasson, Mr. Paul Edvin<br>Observed: 7.85<br>Prediction: 9.01<br>Residual: -1.15",
+          "Index: Chaffee, Mr. Herbert Fuller<br>Observed: 61.17<br>Prediction: 50.89<br>Residual: 10.28",
+          "Index: Petroff, Mr. Pastcho (\"Pentcho\")<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54",
+          "Index: White, Mr. Richard Frasar<br>Observed: 77.29<br>Prediction: 88.47<br>Residual: -11.18",
+          "Index: Rekic, Mr. Tido<br>Observed: 7.90<br>Prediction: 9.07<br>Residual: -1.17",
+          "Index: Moran, Miss. Bertha<br>Observed: 24.15<br>Prediction: 14.56<br>Residual: 9.59",
+          "Index: Barton, Mr. David John<br>Observed: 8.05<br>Prediction: 9.01<br>Residual: -0.96",
+          "Index: Jussila, Miss. Katriina<br>Observed: 9.82<br>Prediction: 13.12<br>Residual: -3.30",
+          "Index: Pekoniemi, Mr. Edvard<br>Observed: 7.92<br>Prediction: 9.01<br>Residual: -1.08",
+          "Index: Turpin, Mr. William John Robert<br>Observed: 21.00<br>Prediction: 24.72<br>Residual: -3.72",
+          "Index: Moore, Mr. Leonard Charles<br>Observed: 8.05<br>Prediction: 9.44<br>Residual: -1.39",
+          "Index: Osen, Mr. Olaf Elon<br>Observed: 9.22<br>Prediction: 9.01<br>Residual: 0.21",
+          "Index: Ford, Miss. Robina Maggie \"Ruby\"<br>Observed: 34.38<br>Prediction: 24.43<br>Residual: 9.95",
+          "Index: Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Observed: 26.00<br>Prediction: 26.44<br>Residual: -0.44",
+          "Index: Bateman, Rev. Robert James<br>Observed: 12.53<br>Prediction: 14.20<br>Residual: -1.68",
+          "Index: Meo, Mr. Alfonzo<br>Observed: 8.05<br>Prediction: 9.07<br>Residual: -1.02",
+          "Index: Cribb, Mr. John Hatfield<br>Observed: 16.10<br>Prediction: 18.64<br>Residual: -2.54",
+          "Index: Chibnall, Mrs. (Edith Martha Bowerman)<br>Observed: 55.00<br>Prediction: 106.26<br>Residual: -51.26",
+          "Index: Van der hoef, Mr. Wyckoff<br>Observed: 33.50<br>Prediction: 35.44<br>Residual: -1.94",
+          "Index: Sivola, Mr. Antti Wilhelm<br>Observed: 7.92<br>Prediction: 9.01<br>Residual: -1.08",
+          "Index: Klasen, Mr. Klas Albin<br>Observed: 7.85<br>Prediction: 19.61<br>Residual: -11.75",
+          "Index: Rood, Mr. Hugh Roscoe<br>Observed: 50.00<br>Prediction: 39.90<br>Residual: 10.10",
+          "Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Observed: 7.85<br>Prediction: 14.43<br>Residual: -6.58",
+          "Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Observed: 27.72<br>Prediction: 135.58<br>Residual: -107.86",
+          "Index: Vande Walle, Mr. Nestor Cyriel<br>Observed: 9.50<br>Prediction: 9.56<br>Residual: -0.06",
+          "Index: Backstrom, Mr. Karl Alfred<br>Observed: 15.85<br>Prediction: 13.06<br>Residual: 2.79",
+          "Index: Blank, Mr. Henry<br>Observed: 31.00<br>Prediction: 74.74<br>Residual: -43.74",
+          "Index: Ali, Mr. Ahmed<br>Observed: 7.05<br>Prediction: 9.01<br>Residual: -1.96",
+          "Index: Green, Mr. George Henry<br>Observed: 8.05<br>Prediction: 9.07<br>Residual: -1.02",
+          "Index: Nenkoff, Mr. Christo<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54",
+          "Index: Asplund, Miss. Lillian Gertrud<br>Observed: 31.39<br>Prediction: 27.81<br>Residual: 3.58",
+          "Index: Harknett, Miss. Alice Phoebe<br>Observed: 7.55<br>Prediction: 9.44<br>Residual: -1.89",
+          "Index: Hunt, Mr. George Henry<br>Observed: 12.28<br>Prediction: 14.14<br>Residual: -1.87",
+          "Index: Reed, Mr. James George<br>Observed: 7.25<br>Prediction: 9.44<br>Residual: -2.19",
+          "Index: Stead, Mr. William Thomas<br>Observed: 26.55<br>Prediction: 44.84<br>Residual: -18.29",
+          "Index: Thorne, Mrs. Gertrude Maybelle<br>Observed: 79.20<br>Prediction: 119.07<br>Residual: -39.87",
+          "Index: Parrish, Mrs. (Lutie Davis)<br>Observed: 26.00<br>Prediction: 31.56<br>Residual: -5.56",
+          "Index: Smith, Mr. Thomas<br>Observed: 7.75<br>Prediction: 9.30<br>Residual: -1.55",
+          "Index: Asplund, Master. Edvin Rojj Felix<br>Observed: 31.39<br>Prediction: 28.09<br>Residual: 3.30",
+          "Index: Healy, Miss. Hanora \"Nora\"<br>Observed: 7.75<br>Prediction: 11.46<br>Residual: -3.71",
+          "Index: Andrews, Miss. Kornelia Theodosia<br>Observed: 77.96<br>Prediction: 61.94<br>Residual: 16.02",
+          "Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Observed: 20.25<br>Prediction: 19.11<br>Residual: 1.14",
+          "Index: Smith, Mr. Richard William<br>Observed: 26.00<br>Prediction: 39.90<br>Residual: -13.90",
+          "Index: Connolly, Miss. Kate<br>Observed: 7.75<br>Prediction: 10.96<br>Residual: -3.21",
+          "Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Observed: 91.08<br>Prediction: 107.12<br>Residual: -16.04",
+          "Index: Levy, Mr. Rene Jacques<br>Observed: 12.88<br>Prediction: 14.14<br>Residual: -1.27",
+          "Index: Lewy, Mr. Ervin G<br>Observed: 27.72<br>Prediction: 65.42<br>Residual: -37.70",
+          "Index: Williams, Mr. Howard Hugh \"Harry\"<br>Observed: 8.05<br>Prediction: 9.44<br>Residual: -1.39",
+          "Index: Sage, Mr. George John Jr<br>Observed: 69.55<br>Prediction: 69.32<br>Residual: 0.23",
+          "Index: Nysveen, Mr. Johan Hansen<br>Observed: 6.24<br>Prediction: 9.07<br>Residual: -2.83",
+          "Index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Observed: 133.65<br>Prediction: 84.92<br>Residual: 48.73",
+          "Index: Denkoff, Mr. Mitto<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54",
+          "Index: Burns, Miss. Elizabeth Margaret<br>Observed: 134.50<br>Prediction: 101.93<br>Residual: 32.57",
+          "Index: Dimic, Mr. Jovan<br>Observed: 8.66<br>Prediction: 9.07<br>Residual: -0.41",
+          "Index: del Carlo, Mr. Sebastiano<br>Observed: 27.72<br>Prediction: 24.72<br>Residual: 3.00",
+          "Index: Beavan, Mr. William Thomas<br>Observed: 8.05<br>Prediction: 9.01<br>Residual: -0.96",
+          "Index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Observed: 82.17<br>Prediction: 111.31<br>Residual: -29.14",
+          "Index: Widener, Mr. Harry Elkins<br>Observed: 211.50<br>Prediction: 122.54<br>Residual: 88.96",
+          "Index: Gustafsson, Mr. Karl Gideon<br>Observed: 7.78<br>Prediction: 9.01<br>Residual: -1.23",
+          "Index: Plotcharsky, Mr. Vasil<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54",
+          "Index: Goodwin, Master. Sidney Leonard<br>Observed: 46.90<br>Prediction: 42.47<br>Residual: 4.43",
+          "Index: Sadlier, Mr. Matthew<br>Observed: 7.73<br>Prediction: 9.30<br>Residual: -1.57",
+          "Index: Gustafsson, Mr. Johan Birger<br>Observed: 7.92<br>Prediction: 19.24<br>Residual: -11.31",
+          "Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Observed: 16.70<br>Prediction: 18.57<br>Residual: -1.87",
+          "Index: Niskanen, Mr. Juha<br>Observed: 7.92<br>Prediction: 13.02<br>Residual: -5.10",
+          "Index: Minahan, Miss. Daisy E<br>Observed: 90.00<br>Prediction: 97.22<br>Residual: -7.22",
+          "Index: Matthews, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Charters, Mr. David<br>Observed: 7.73<br>Prediction: 9.01<br>Residual: -1.27",
+          "Index: Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Observed: 26.00<br>Prediction: 14.20<br>Residual: 11.80",
+          "Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Observed: 26.25<br>Prediction: 27.89<br>Residual: -1.64",
+          "Index: Johannesen-Bratthammer, Mr. Bernt<br>Observed: 8.11<br>Prediction: 12.55<br>Residual: -4.43",
+          "Index: Peuchen, Major. Arthur Godfrey<br>Observed: 30.50<br>Prediction: 45.07<br>Residual: -14.57",
+          "Index: Anderson, Mr. Harry<br>Observed: 26.55<br>Prediction: 39.01<br>Residual: -12.46",
+          "Index: Milling, Mr. Jacob Christian<br>Observed: 13.00<br>Prediction: 14.20<br>Residual: -1.20",
+          "Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Observed: 27.75<br>Prediction: 29.99<br>Residual: -2.24",
+          "Index: Karlsson, Mr. Nils August<br>Observed: 7.52<br>Prediction: 9.01<br>Residual: -1.49",
+          "Index: Frost, Mr. Anthony Wood \"Archie\"<br>Observed: 0.00<br>Prediction: 13.26<br>Residual: -13.26",
+          "Index: Bishop, Mr. Dickinson H<br>Observed: 91.08<br>Prediction: 146.18<br>Residual: -55.10",
+          "Index: Windelov, Mr. Einar<br>Observed: 7.25<br>Prediction: 9.01<br>Residual: -1.76",
+          "Index: Shellard, Mr. Frederick William<br>Observed: 15.10<br>Prediction: 9.44<br>Residual: 5.66",
+          "Index: Svensson, Mr. Olof<br>Observed: 7.80<br>Prediction: 9.01<br>Residual: -1.21",
+          "Index: O'Sullivan, Miss. Bridget Mary<br>Observed: 7.63<br>Prediction: 9.30<br>Residual: -1.67",
+          "Index: Laitinen, Miss. Kristina Sofia<br>Observed: 9.59<br>Prediction: 9.07<br>Residual: 0.52",
+          "Index: Penasco y Castellana, Mr. Victor de Satode<br>Observed: 108.90<br>Prediction: 77.01<br>Residual: 31.89",
+          "Index: Bradley, Mr. George (\"George Arthur Brayton\")<br>Observed: 26.55<br>Prediction: 46.34<br>Residual: -19.79",
+          "Index: Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Observed: 26.00<br>Prediction: 24.73<br>Residual: 1.27",
+          "Index: Kassem, Mr. Fared<br>Observed: 7.23<br>Prediction: 9.30<br>Residual: -2.07",
+          "Index: Cacic, Miss. Marija<br>Observed: 8.66<br>Prediction: 9.09<br>Residual: -0.43",
+          "Index: Hart, Miss. Eva Miriam<br>Observed: 26.25<br>Prediction: 25.60<br>Residual: 0.65",
+          "Index: Butt, Major. Archibald Willingham<br>Observed: 26.55<br>Prediction: 35.44<br>Residual: -8.89",
+          "Index: Beane, Mr. Edward<br>Observed: 26.00<br>Prediction: 25.23<br>Residual: 0.77",
+          "Index: Goldsmith, Mr. Frank John<br>Observed: 20.52<br>Prediction: 19.61<br>Residual: 0.92",
+          "Index: Ohman, Miss. Velin<br>Observed: 7.78<br>Prediction: 11.60<br>Residual: -3.83",
+          "Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Observed: 79.65<br>Prediction: 96.58<br>Residual: -16.93",
+          "Index: Morrow, Mr. Thomas Rowan<br>Observed: 7.75<br>Prediction: 9.30<br>Residual: -1.55",
+          "Index: Harris, Mr. George<br>Observed: 10.50<br>Prediction: 15.21<br>Residual: -4.71",
+          "Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Observed: 51.48<br>Prediction: 107.98<br>Residual: -56.50",
+          "Index: Patchett, Mr. George<br>Observed: 14.50<br>Prediction: 9.01<br>Residual: 5.49",
+          "Index: Ross, Mr. John Hugo<br>Observed: 40.12<br>Prediction: 82.43<br>Residual: -42.30",
+          "Index: Murdlin, Mr. Joseph<br>Observed: 8.05<br>Prediction: 9.44<br>Residual: -1.39",
+          "Index: Bourke, Miss. Mary<br>Observed: 7.75<br>Prediction: 19.99<br>Residual: -12.24",
+          "Index: Boulos, Mr. Hanna<br>Observed: 7.22<br>Prediction: 9.30<br>Residual: -2.07",
+          "Index: Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Observed: 56.93<br>Prediction: 74.41<br>Residual: -17.48",
+          "Index: Homer, Mr. Harry (\"Mr E Haven\")<br>Observed: 26.55<br>Prediction: 132.87<br>Residual: -106.32",
+          "Index: Lindell, Mr. Edvard Bengtsson<br>Observed: 15.55<br>Prediction: 13.06<br>Residual: 2.49",
+          "Index: Daniel, Mr. Robert Williams<br>Observed: 30.50<br>Prediction: 44.05<br>Residual: -13.55",
+          "Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Observed: 41.58<br>Prediction: 30.66<br>Residual: 10.92",
+          "Index: Shutes, Miss. Elizabeth W<br>Observed: 153.46<br>Prediction: 78.64<br>Residual: 74.82",
+          "Index: Jardin, Mr. Jose Neto<br>Observed: 7.05<br>Prediction: 9.44<br>Residual: -2.39",
+          "Index: Horgan, Mr. John<br>Observed: 7.75<br>Prediction: 9.30<br>Residual: -1.55",
+          "Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Observed: 16.10<br>Prediction: 13.12<br>Residual: 2.98",
+          "Index: Yasbeck, Mr. Antoni<br>Observed: 14.45<br>Prediction: 13.12<br>Residual: 1.33",
+          "Index: Bostandyeff, Mr. Guentcho<br>Observed: 7.90<br>Prediction: 9.13<br>Residual: -1.23",
+          "Index: Lundahl, Mr. Johan Svensson<br>Observed: 7.05<br>Prediction: 9.07<br>Residual: -2.01",
+          "Index: Stahelin-Maeglin, Dr. Max<br>Observed: 30.50<br>Prediction: 167.14<br>Residual: -136.64",
+          "Index: Willey, Mr. Edward<br>Observed: 7.55<br>Prediction: 9.44<br>Residual: -1.89",
+          "Index: Stanley, Miss. Amy Zillah Elsie<br>Observed: 7.55<br>Prediction: 11.60<br>Residual: -4.05",
+          "Index: Hegarty, Miss. Hanora \"Nora\"<br>Observed: 6.75<br>Prediction: 9.01<br>Residual: -2.26",
+          "Index: Eitemiller, Mr. George Floyd<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Colley, Mr. Edward Pomeroy<br>Observed: 25.59<br>Prediction: 36.25<br>Residual: -10.66",
+          "Index: Coleff, Mr. Peju<br>Observed: 7.50<br>Prediction: 9.07<br>Residual: -1.57",
+          "Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Observed: 39.00<br>Prediction: 26.92<br>Residual: 12.08",
+          "Index: Davidson, Mr. Thornton<br>Observed: 52.00<br>Prediction: 46.49<br>Residual: 5.51",
+          "Index: Turja, Miss. Anna Sofia<br>Observed: 9.84<br>Prediction: 11.60<br>Residual: -1.76",
+          "Index: Hassab, Mr. Hammad<br>Observed: 76.73<br>Prediction: 61.45<br>Residual: 15.28",
+          "Index: Goodwin, Mr. Charles Edward<br>Observed: 46.90<br>Prediction: 42.47<br>Residual: 4.43",
+          "Index: Panula, Mr. Jaako Arnold<br>Observed: 39.69<br>Prediction: 27.31<br>Residual: 12.38",
+          "Index: Fischer, Mr. Eberhard Thelander<br>Observed: 7.80<br>Prediction: 9.01<br>Residual: -1.21",
+          "Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Observed: 7.65<br>Prediction: 9.07<br>Residual: -1.42",
+          "Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Observed: 227.53<br>Prediction: 90.87<br>Residual: 136.65",
+          "Index: Hansen, Mr. Henrik Juul<br>Observed: 7.85<br>Prediction: 13.12<br>Residual: -5.27",
+          "Index: Calderhead, Mr. Edward Pennington<br>Observed: 26.29<br>Prediction: 39.01<br>Residual: -12.72",
+          "Index: Klaber, Mr. Herman<br>Observed: 26.55<br>Prediction: 58.88<br>Residual: -32.33",
+          "Index: Taylor, Mr. Elmer Zebley<br>Observed: 52.00<br>Prediction: 59.95<br>Residual: -7.95",
+          "Index: Larsson, Mr. August Viktor<br>Observed: 9.48<br>Prediction: 9.09<br>Residual: 0.39",
+          "Index: Greenberg, Mr. Samuel<br>Observed: 13.00<br>Prediction: 14.20<br>Residual: -1.20",
+          "Index: Troutt, Miss. Edwina Celia \"Winnie\"<br>Observed: 10.50<br>Prediction: 14.20<br>Residual: -3.70",
+          "Index: McEvoy, Mr. Michael<br>Observed: 15.50<br>Prediction: 9.30<br>Residual: 6.20",
+          "Index: Johnson, Mr. Malkolm Joackim<br>Observed: 7.78<br>Prediction: 9.16<br>Residual: -1.38",
+          "Index: Gillespie, Mr. William Henry<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Allen, Miss. Elisabeth Walton<br>Observed: 211.34<br>Prediction: 77.13<br>Residual: 134.21",
+          "Index: Berriman, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Troupiansky, Mr. Moses Aaron<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Williams, Mr. Leslie<br>Observed: 16.10<br>Prediction: 9.56<br>Residual: 6.54",
+          "Index: Ivanoff, Mr. Kanio<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54",
+          "Index: McNamee, Mr. Neal<br>Observed: 16.10<br>Prediction: 13.12<br>Residual: 2.98",
+          "Index: Connaghton, Mr. Michael<br>Observed: 7.75<br>Prediction: 9.09<br>Residual: -1.34",
+          "Index: Carlsson, Mr. August Sigfrid<br>Observed: 7.80<br>Prediction: 9.56<br>Residual: -1.76",
+          "Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Observed: 86.50<br>Prediction: 76.42<br>Residual: 10.08",
+          "Index: Eklund, Mr. Hans Linus<br>Observed: 7.78<br>Prediction: 9.01<br>Residual: -1.23",
+          "Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Observed: 77.96<br>Prediction: 61.93<br>Residual: 16.03",
+          "Index: Moran, Mr. Daniel J<br>Observed: 24.15<br>Prediction: 13.77<br>Residual: 10.38",
+          "Index: Lievens, Mr. Rene Aime<br>Observed: 9.50<br>Prediction: 9.01<br>Residual: 0.49",
+          "Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Observed: 211.34<br>Prediction: 104.14<br>Residual: 107.20",
+          "Index: Ayoub, Miss. Banoura<br>Observed: 7.23<br>Prediction: 11.14<br>Residual: -3.91",
+          "Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Observed: 57.00<br>Prediction: 76.64<br>Residual: -19.64",
+          "Index: Johnston, Mr. Andrew G<br>Observed: 23.45<br>Prediction: 22.47<br>Residual: 0.98",
+          "Index: Ali, Mr. William<br>Observed: 7.05<br>Prediction: 9.01<br>Residual: -1.96",
+          "Index: Sjoblom, Miss. Anna Sofia<br>Observed: 7.50<br>Prediction: 11.60<br>Residual: -4.11",
+          "Index: Guggenheim, Mr. Benjamin<br>Observed: 79.20<br>Prediction: 120.52<br>Residual: -41.32",
+          "Index: Leader, Dr. Alice (Farnham)<br>Observed: 25.93<br>Prediction: 60.75<br>Residual: -34.82",
+          "Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Observed: 26.25<br>Prediction: 26.92<br>Residual: -0.67",
+          "Index: Carter, Master. William Thornton II<br>Observed: 120.00<br>Prediction: 151.12<br>Residual: -31.12",
+          "Index: Thomas, Master. Assad Alexander<br>Observed: 8.52<br>Prediction: 17.56<br>Residual: -9.04",
+          "Index: Johansson, Mr. Karl Johan<br>Observed: 7.78<br>Prediction: 9.09<br>Residual: -1.32",
+          "Index: Slemen, Mr. Richard James<br>Observed: 10.50<br>Prediction: 14.14<br>Residual: -3.64",
+          "Index: Tomlin, Mr. Ernest Portage<br>Observed: 8.05<br>Prediction: 9.09<br>Residual: -1.04",
+          "Index: McCormack, Mr. Thomas Joseph<br>Observed: 7.75<br>Prediction: 11.77<br>Residual: -4.02",
+          "Index: Richards, Master. George Sibley<br>Observed: 18.75<br>Prediction: 26.93<br>Residual: -8.18",
+          "Index: Mudd, Mr. Thomas Charles<br>Observed: 10.50<br>Prediction: 15.78<br>Residual: -5.28",
+          "Index: Lemberopolous, Mr. Peter L<br>Observed: 6.44<br>Prediction: 9.07<br>Residual: -2.63",
+          "Index: Sage, Mr. Douglas Bullen<br>Observed: 69.55<br>Prediction: 69.32<br>Residual: 0.23",
+          "Index: Boulos, Miss. Nourelain<br>Observed: 15.25<br>Prediction: 19.61<br>Residual: -4.36",
+          "Index: Aks, Mrs. Sam (Leah Rosen)<br>Observed: 9.35<br>Prediction: 17.75<br>Residual: -8.40",
+          "Index: Razi, Mr. Raihed<br>Observed: 7.23<br>Prediction: 9.30<br>Residual: -2.07",
+          "Index: Johnson, Master. Harold Theodor<br>Observed: 11.13<br>Prediction: 19.11<br>Residual: -7.98",
+          "Index: Carlsson, Mr. Frans Olof<br>Observed: 5.00<br>Prediction: 36.55<br>Residual: -31.55",
+          "Index: Gustafsson, Mr. Alfred Ossian<br>Observed: 9.85<br>Prediction: 9.01<br>Residual: 0.84",
+          "Index: Montvila, Rev. Juozas<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14"
+         ],
+         "type": "scattergl",
          "x": [
           71.2833,
           53.1,
@@ -121122,213 +82653,213 @@
           13
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Gosta Leonard<br>Actual: 21.08<br>Prediction: 27.59<br>Residual: -6.51\", \"Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Actual: 11.13<br>Prediction: 18.0<br>Residual: -6.87\", \"Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Actual: 30.07<br>Prediction: 22.78<br>Residual: 7.29\", \"Index: Saundercock, Mr. William Henry<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7\", \"Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Actual: 7.85<br>Prediction: 9.69<br>Residual: -1.83\", \"Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Actual: 31.39<br>Prediction: 28.86<br>Residual: 2.53\", \"Index: Glynn, Miss. Mary Agatha<br>Actual: 7.75<br>Prediction: 10.71<br>Residual: -2.96\", \"Index: Meyer, Mr. Edgar Joseph<br>Actual: 82.17<br>Prediction: 75.17<br>Residual: 7.0\", \"Index: Kraeff, Mr. Theodor<br>Actual: 7.9<br>Prediction: 8.9<br>Residual: -1.01\", \"Index: Devaney, Miss. Margaret Delia<br>Actual: 7.88<br>Prediction: 10.34<br>Residual: -2.46\", \"Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Actual: 17.8<br>Prediction: 11.97<br>Residual: 5.83\", \"Index: Rugg, Miss. Emily<br>Actual: 10.5<br>Prediction: 13.72<br>Residual: -3.22\", \"Index: Harris, Mr. Henry Birkhardt<br>Actual: 83.48<br>Prediction: 67.48<br>Residual: 16.0\", \"Index: Skoog, Master. Harald<br>Actual: 27.9<br>Prediction: 30.03<br>Residual: -2.13\", \"Index: Kink, Mr. Vincenz<br>Actual: 8.66<br>Prediction: 18.66<br>Residual: -10.0\", \"Index: Hood, Mr. Ambrose Jr<br>Actual: 73.5<br>Prediction: 13.75<br>Residual: 59.75\", \"Index: Ilett, Miss. Bertha<br>Actual: 10.5<br>Prediction: 14.94<br>Residual: -4.44\", \"Index: Ford, Mr. William Neal<br>Actual: 34.38<br>Prediction: 27.46<br>Residual: 6.91\", \"Index: Christmann, Mr. Emil<br>Actual: 8.05<br>Prediction: 8.94<br>Residual: -0.89\", \"Index: Andreasson, Mr. Paul Edvin<br>Actual: 7.85<br>Prediction: 8.75<br>Residual: -0.9\", \"Index: Chaffee, Mr. Herbert Fuller<br>Actual: 61.18<br>Prediction: 58.4<br>Residual: 2.78\", \"Index: Petroff, Mr. Pastcho (\\\"Pentcho\\\")<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76\", \"Index: White, Mr. Richard Frasar<br>Actual: 77.29<br>Prediction: 84.89<br>Residual: -7.6\", \"Index: Rekic, Mr. Tido<br>Actual: 7.9<br>Prediction: 8.89<br>Residual: -0.99\", \"Index: Moran, Miss. Bertha<br>Actual: 24.15<br>Prediction: 13.89<br>Residual: 10.26\", \"Index: Barton, Mr. David John<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7\", \"Index: Jussila, Miss. Katriina<br>Actual: 9.82<br>Prediction: 11.97<br>Residual: -2.15\", \"Index: Pekoniemi, Mr. Edvard<br>Actual: 7.92<br>Prediction: 8.75<br>Residual: -0.83\", \"Index: Turpin, Mr. William John Robert<br>Actual: 21.0<br>Prediction: 24.75<br>Residual: -3.75\", \"Index: Moore, Mr. Leonard Charles<br>Actual: 8.05<br>Prediction: 9.65<br>Residual: -1.6\", \"Index: Osen, Mr. Olaf Elon<br>Actual: 9.22<br>Prediction: 8.85<br>Residual: 0.36\", \"Index: Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Actual: 34.38<br>Prediction: 27.59<br>Residual: 6.79\", \"Index: Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Actual: 26.0<br>Prediction: 30.67<br>Residual: -4.67\", \"Index: Bateman, Rev. Robert James<br>Actual: 12.52<br>Prediction: 14.29<br>Residual: -1.77\", \"Index: Meo, Mr. Alfonzo<br>Actual: 8.05<br>Prediction: 8.89<br>Residual: -0.84\", \"Index: Cribb, Mr. John Hatfield<br>Actual: 16.1<br>Prediction: 11.93<br>Residual: 4.17\", \"Index: Chibnall, Mrs. (Edith Martha Bowerman)<br>Actual: 55.0<br>Prediction: 93.29<br>Residual: -38.29\", \"Index: Van der hoef, Mr. Wyckoff<br>Actual: 33.5<br>Prediction: 40.87<br>Residual: -7.37\", \"Index: Sivola, Mr. Antti Wilhelm<br>Actual: 7.92<br>Prediction: 8.75<br>Residual: -0.83\", \"Index: Klasen, Mr. Klas Albin<br>Actual: 7.85<br>Prediction: 18.0<br>Residual: -10.14\", \"Index: Rood, Mr. Hugh Roscoe<br>Actual: 50.0<br>Prediction: 40.55<br>Residual: 9.45\", \"Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Actual: 7.85<br>Prediction: 11.9<br>Residual: -4.04\", \"Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Actual: 27.72<br>Prediction: 134.65<br>Residual: -106.93\", \"Index: Vande Walle, Mr. Nestor Cyriel<br>Actual: 9.5<br>Prediction: 9.03<br>Residual: 0.47\", \"Index: Backstrom, Mr. Karl Alfred<br>Actual: 15.85<br>Prediction: 11.89<br>Residual: 3.96\", \"Index: Blank, Mr. Henry<br>Actual: 31.0<br>Prediction: 82.07<br>Residual: -51.07\", \"Index: Ali, Mr. Ahmed<br>Actual: 7.05<br>Prediction: 8.75<br>Residual: -1.7\", \"Index: Green, Mr. George Henry<br>Actual: 8.05<br>Prediction: 8.89<br>Residual: -0.84\", \"Index: Nenkoff, Mr. Christo<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76\", \"Index: Asplund, Miss. Lillian Gertrud<br>Actual: 31.39<br>Prediction: 29.14<br>Residual: 2.25\", \"Index: Harknett, Miss. Alice Phoebe<br>Actual: 7.55<br>Prediction: 9.65<br>Residual: -2.1\", \"Index: Hunt, Mr. George Henry<br>Actual: 12.28<br>Prediction: 13.97<br>Residual: -1.7\", \"Index: Reed, Mr. James George<br>Actual: 7.25<br>Prediction: 9.65<br>Residual: -2.4\", \"Index: Stead, Mr. William Thomas<br>Actual: 26.55<br>Prediction: 43.47<br>Residual: -16.92\", \"Index: Thorne, Mrs. Gertrude Maybelle<br>Actual: 79.2<br>Prediction: 101.1<br>Residual: -21.9\", \"Index: Parrish, Mrs. (Lutie Davis)<br>Actual: 26.0<br>Prediction: 24.6<br>Residual: 1.4\", \"Index: Smith, Mr. Thomas<br>Actual: 7.75<br>Prediction: 8.9<br>Residual: -1.15\", \"Index: Asplund, Master. Edvin Rojj Felix<br>Actual: 31.39<br>Prediction: 29.14<br>Residual: 2.25\", \"Index: Healy, Miss. Hanora \\\"Nora\\\"<br>Actual: 7.75<br>Prediction: 10.71<br>Residual: -2.96\", \"Index: Andrews, Miss. Kornelia Theodosia<br>Actual: 77.96<br>Prediction: 71.44<br>Residual: 6.52\", \"Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Actual: 20.25<br>Prediction: 18.0<br>Residual: 2.25\", \"Index: Smith, Mr. Richard William<br>Actual: 26.0<br>Prediction: 40.55<br>Residual: -14.55\", \"Index: Connolly, Miss. Kate<br>Actual: 7.75<br>Prediction: 10.34<br>Residual: -2.59\", \"Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Actual: 91.08<br>Prediction: 110.98<br>Residual: -19.9\", \"Index: Levy, Mr. Rene Jacques<br>Actual: 12.88<br>Prediction: 14.17<br>Residual: -1.3\", \"Index: Lewy, Mr. Ervin G<br>Actual: 27.72<br>Prediction: 62.14<br>Residual: -34.41\", \"Index: Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Actual: 8.05<br>Prediction: 9.65<br>Residual: -1.6\", \"Index: Sage, Mr. George John Jr<br>Actual: 69.55<br>Prediction: 68.73<br>Residual: 0.82\", \"Index: Nysveen, Mr. Johan Hansen<br>Actual: 6.24<br>Prediction: 8.89<br>Residual: -2.65\", \"Index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Actual: 133.65<br>Prediction: 87.49<br>Residual: 46.16\", \"Index: Denkoff, Mr. Mitto<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76\", \"Index: Burns, Miss. Elizabeth Margaret<br>Actual: 134.5<br>Prediction: 112.92<br>Residual: 21.58\", \"Index: Dimic, Mr. Jovan<br>Actual: 8.66<br>Prediction: 8.89<br>Residual: -0.23\", \"Index: del Carlo, Mr. Sebastiano<br>Actual: 27.72<br>Prediction: 24.41<br>Residual: 3.31\", \"Index: Beavan, Mr. William Thomas<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7\", \"Index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Actual: 82.17<br>Prediction: 100.49<br>Residual: -18.32\", \"Index: Widener, Mr. Harry Elkins<br>Actual: 211.5<br>Prediction: 105.42<br>Residual: 106.08\", \"Index: Gustafsson, Mr. Karl Gideon<br>Actual: 7.78<br>Prediction: 8.75<br>Residual: -0.98\", \"Index: Plotcharsky, Mr. Vasil<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76\", \"Index: Goodwin, Master. Sidney Leonard<br>Actual: 46.9<br>Prediction: 45.35<br>Residual: 1.55\", \"Index: Sadlier, Mr. Matthew<br>Actual: 7.73<br>Prediction: 8.9<br>Residual: -1.17\", \"Index: Gustafsson, Mr. Johan Birger<br>Actual: 7.92<br>Prediction: 18.66<br>Residual: -10.74\", \"Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Actual: 16.7<br>Prediction: 18.0<br>Residual: -1.3\", \"Index: Niskanen, Mr. Juha<br>Actual: 7.92<br>Prediction: 14.11<br>Residual: -6.18\", \"Index: Minahan, Miss. Daisy E<br>Actual: 90.0<br>Prediction: 92.35<br>Residual: -2.35\", \"Index: Matthews, Mr. William John<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97\", \"Index: Charters, Mr. David<br>Actual: 7.73<br>Prediction: 8.7<br>Residual: -0.97\", \"Index: Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Actual: 26.0<br>Prediction: 13.72<br>Residual: 12.28\", \"Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Actual: 26.25<br>Prediction: 30.6<br>Residual: -4.35\", \"Index: Johannesen-Bratthammer, Mr. Bernt<br>Actual: 8.11<br>Prediction: 12.99<br>Residual: -4.87\", \"Index: Peuchen, Major. Arthur Godfrey<br>Actual: 30.5<br>Prediction: 45.79<br>Residual: -15.29\", \"Index: Anderson, Mr. Harry<br>Actual: 26.55<br>Prediction: 38.74<br>Residual: -12.19\", \"Index: Milling, Mr. Jacob Christian<br>Actual: 13.0<br>Prediction: 14.29<br>Residual: -1.29\", \"Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Actual: 27.75<br>Prediction: 31.37<br>Residual: -3.62\", \"Index: Karlsson, Mr. Nils August<br>Actual: 7.52<br>Prediction: 8.75<br>Residual: -1.23\", \"Index: Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Actual: 0.0<br>Prediction: 11.22<br>Residual: -11.22\", \"Index: Bishop, Mr. Dickinson H<br>Actual: 91.08<br>Prediction: 147.49<br>Residual: -56.41\", \"Index: Windelov, Mr. Einar<br>Actual: 7.25<br>Prediction: 8.75<br>Residual: -1.5\", \"Index: Shellard, Mr. Frederick William<br>Actual: 15.1<br>Prediction: 9.65<br>Residual: 5.45\", \"Index: Svensson, Mr. Olof<br>Actual: 7.8<br>Prediction: 8.75<br>Residual: -0.96\", \"Index: O'Sullivan, Miss. Bridget Mary<br>Actual: 7.63<br>Prediction: 8.9<br>Residual: -1.27\", \"Index: Laitinen, Miss. Kristina Sofia<br>Actual: 9.59<br>Prediction: 8.89<br>Residual: 0.7\", \"Index: Penasco y Castellana, Mr. Victor de Satode<br>Actual: 108.9<br>Prediction: 79.23<br>Residual: 29.67\", \"Index: Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Actual: 26.55<br>Prediction: 42.89<br>Residual: -16.34\", \"Index: Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Actual: 26.0<br>Prediction: 24.59<br>Residual: 1.41\", \"Index: Kassem, Mr. Fared<br>Actual: 7.23<br>Prediction: 8.9<br>Residual: -1.67\", \"Index: Cacic, Miss. Marija<br>Actual: 8.66<br>Prediction: 8.94<br>Residual: -0.28\", \"Index: Hart, Miss. Eva Miriam<br>Actual: 26.25<br>Prediction: 29.02<br>Residual: -2.77\", \"Index: Butt, Major. Archibald Willingham<br>Actual: 26.55<br>Prediction: 44.81<br>Residual: -18.26\", \"Index: Beane, Mr. Edward<br>Actual: 26.0<br>Prediction: 24.75<br>Residual: 1.25\", \"Index: Goldsmith, Mr. Frank John<br>Actual: 20.52<br>Prediction: 18.0<br>Residual: 2.53\", \"Index: Ohman, Miss. Velin<br>Actual: 7.78<br>Prediction: 10.69<br>Residual: -2.91\", \"Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Actual: 79.65<br>Prediction: 96.19<br>Residual: -16.54\", \"Index: Morrow, Mr. Thomas Rowan<br>Actual: 7.75<br>Prediction: 8.9<br>Residual: -1.15\", \"Index: Harris, Mr. George<br>Actual: 10.5<br>Prediction: 15.12<br>Residual: -4.62\", \"Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Actual: 51.48<br>Prediction: 93.26<br>Residual: -41.78\", \"Index: Patchett, Mr. George<br>Actual: 14.5<br>Prediction: 8.75<br>Residual: 5.75\", \"Index: Ross, Mr. John Hugo<br>Actual: 40.12<br>Prediction: 99.13<br>Residual: -59.01\", \"Index: Murdlin, Mr. Joseph<br>Actual: 8.05<br>Prediction: 9.65<br>Residual: -1.6\", \"Index: Bourke, Miss. Mary<br>Actual: 7.75<br>Prediction: 18.34<br>Residual: -10.59\", \"Index: Boulos, Mr. Hanna<br>Actual: 7.22<br>Prediction: 8.9<br>Residual: -1.68\", \"Index: Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Actual: 56.93<br>Prediction: 81.19<br>Residual: -24.26\", \"Index: Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Actual: 26.55<br>Prediction: 128.8<br>Residual: -102.25\", \"Index: Lindell, Mr. Edvard Bengtsson<br>Actual: 15.55<br>Prediction: 11.89<br>Residual: 3.66\", \"Index: Daniel, Mr. Robert Williams<br>Actual: 30.5<br>Prediction: 39.42<br>Residual: -8.92\", \"Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Actual: 41.58<br>Prediction: 30.4<br>Residual: 11.18\", \"Index: Shutes, Miss. Elizabeth W<br>Actual: 153.46<br>Prediction: 89.95<br>Residual: 63.51\", \"Index: Jardin, Mr. Jose Neto<br>Actual: 7.05<br>Prediction: 9.65<br>Residual: -2.6\", \"Index: Horgan, Mr. John<br>Actual: 7.75<br>Prediction: 8.9<br>Residual: -1.15\", \"Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Actual: 16.1<br>Prediction: 12.02<br>Residual: 4.08\", \"Index: Yasbeck, Mr. Antoni<br>Actual: 14.45<br>Prediction: 11.92<br>Residual: 2.53\", \"Index: Bostandyeff, Mr. Guentcho<br>Actual: 7.9<br>Prediction: 9.35<br>Residual: -1.45\", \"Index: Lundahl, Mr. Johan Svensson<br>Actual: 7.05<br>Prediction: 8.89<br>Residual: -1.83\", \"Index: Stahelin-Maeglin, Dr. Max<br>Actual: 30.5<br>Prediction: 154.37<br>Residual: -123.87\", \"Index: Willey, Mr. Edward<br>Actual: 7.55<br>Prediction: 9.65<br>Residual: -2.1\", \"Index: Stanley, Miss. Amy Zillah Elsie<br>Actual: 7.55<br>Prediction: 10.69<br>Residual: -3.14\", \"Index: Hegarty, Miss. Hanora \\\"Nora\\\"<br>Actual: 6.75<br>Prediction: 8.76<br>Residual: -2.01\", \"Index: Eitemiller, Mr. George Floyd<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75\", \"Index: Colley, Mr. Edward Pomeroy<br>Actual: 25.59<br>Prediction: 35.25<br>Residual: -9.66\", \"Index: Coleff, Mr. Peju<br>Actual: 7.5<br>Prediction: 8.89<br>Residual: -1.39\", \"Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Actual: 39.0<br>Prediction: 30.33<br>Residual: 8.67\", \"Index: Davidson, Mr. Thornton<br>Actual: 52.0<br>Prediction: 58.02<br>Residual: -6.02\", \"Index: Turja, Miss. Anna Sofia<br>Actual: 9.84<br>Prediction: 10.74<br>Residual: -0.9\", \"Index: Hassab, Mr. Hammad<br>Actual: 76.73<br>Prediction: 65.84<br>Residual: 10.88\", \"Index: Goodwin, Mr. Charles Edward<br>Actual: 46.9<br>Prediction: 45.35<br>Residual: 1.55\", \"Index: Panula, Mr. Jaako Arnold<br>Actual: 39.69<br>Prediction: 30.03<br>Residual: 9.66\", \"Index: Fischer, Mr. Eberhard Thelander<br>Actual: 7.8<br>Prediction: 8.81<br>Residual: -1.02\", \"Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Actual: 7.65<br>Prediction: 8.89<br>Residual: -1.24\", \"Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Actual: 227.52<br>Prediction: 92.48<br>Residual: 135.04\", \"Index: Hansen, Mr. Henrik Juul<br>Actual: 7.85<br>Prediction: 11.92<br>Residual: -4.07\", \"Index: Calderhead, Mr. Edward Pennington<br>Actual: 26.29<br>Prediction: 38.74<br>Residual: -12.45\", \"Index: Klaber, Mr. Herman<br>Actual: 26.55<br>Prediction: 56.46<br>Residual: -29.91\", \"Index: Taylor, Mr. Elmer Zebley<br>Actual: 52.0<br>Prediction: 66.53<br>Residual: -14.53\", \"Index: Larsson, Mr. August Viktor<br>Actual: 9.48<br>Prediction: 8.94<br>Residual: 0.54\", \"Index: Greenberg, Mr. Samuel<br>Actual: 13.0<br>Prediction: 14.29<br>Residual: -1.29\", \"Index: Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Actual: 10.5<br>Prediction: 13.94<br>Residual: -3.44\", \"Index: McEvoy, Mr. Michael<br>Actual: 15.5<br>Prediction: 8.9<br>Residual: 6.6\", \"Index: Johnson, Mr. Malkolm Joackim<br>Actual: 7.78<br>Prediction: 8.93<br>Residual: -1.16\", \"Index: Gillespie, Mr. William Henry<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97\", \"Index: Allen, Miss. Elisabeth Walton<br>Actual: 211.34<br>Prediction: 77.57<br>Residual: 133.77\", \"Index: Berriman, Mr. William John<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75\", \"Index: Troupiansky, Mr. Moses Aaron<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75\", \"Index: Williams, Mr. Leslie<br>Actual: 16.1<br>Prediction: 9.03<br>Residual: 7.07\", \"Index: Ivanoff, Mr. Kanio<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76\", \"Index: McNamee, Mr. Neal<br>Actual: 16.1<br>Prediction: 11.87<br>Residual: 4.23\", \"Index: Connaghton, Mr. Michael<br>Actual: 7.75<br>Prediction: 8.89<br>Residual: -1.14\", \"Index: Carlsson, Mr. August Sigfrid<br>Actual: 7.8<br>Prediction: 9.03<br>Residual: -1.24\", \"Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Actual: 86.5<br>Prediction: 83.69<br>Residual: 2.81\", \"Index: Eklund, Mr. Hans Linus<br>Actual: 7.78<br>Prediction: 8.85<br>Residual: -1.08\", \"Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Actual: 77.96<br>Prediction: 71.44<br>Residual: 6.52\", \"Index: Moran, Mr. Daniel J<br>Actual: 24.15<br>Prediction: 14.1<br>Residual: 10.05\", \"Index: Lievens, Mr. Rene Aime<br>Actual: 9.5<br>Prediction: 8.75<br>Residual: 0.75\", \"Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Actual: 211.34<br>Prediction: 113.43<br>Residual: 97.91\", \"Index: Ayoub, Miss. Banoura<br>Actual: 7.23<br>Prediction: 10.56<br>Residual: -3.33\", \"Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Actual: 57.0<br>Prediction: 81.34<br>Residual: -24.34\", \"Index: Johnston, Mr. Andrew G<br>Actual: 23.45<br>Prediction: 20.21<br>Residual: 3.24\", \"Index: Ali, Mr. William<br>Actual: 7.05<br>Prediction: 8.75<br>Residual: -1.7\", \"Index: Sjoblom, Miss. Anna Sofia<br>Actual: 7.5<br>Prediction: 10.74<br>Residual: -3.25\", \"Index: Guggenheim, Mr. Benjamin<br>Actual: 79.2<br>Prediction: 114.23<br>Residual: -35.03\", \"Index: Leader, Dr. Alice (Farnham)<br>Actual: 25.93<br>Prediction: 77.64<br>Residual: -51.72\", \"Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Actual: 26.25<br>Prediction: 29.85<br>Residual: -3.6\", \"Index: Carter, Master. William Thornton II<br>Actual: 120.0<br>Prediction: 121.63<br>Residual: -1.63\", \"Index: Thomas, Master. Assad Alexander<br>Actual: 8.52<br>Prediction: 12.37<br>Residual: -3.85\", \"Index: Johansson, Mr. Karl Johan<br>Actual: 7.78<br>Prediction: 8.94<br>Residual: -1.16\", \"Index: Slemen, Mr. Richard James<br>Actual: 10.5<br>Prediction: 14.17<br>Residual: -3.67\", \"Index: Tomlin, Mr. Ernest Portage<br>Actual: 8.05<br>Prediction: 8.94<br>Residual: -0.89\", \"Index: McCormack, Mr. Thomas Joseph<br>Actual: 7.75<br>Prediction: 11.94<br>Residual: -4.19\", \"Index: Richards, Master. George Sibley<br>Actual: 18.75<br>Prediction: 28.76<br>Residual: -10.01\", \"Index: Mudd, Mr. Thomas Charles<br>Actual: 10.5<br>Prediction: 15.11<br>Residual: -4.61\", \"Index: Lemberopolous, Mr. Peter L<br>Actual: 6.44<br>Prediction: 8.84<br>Residual: -2.4\", \"Index: Sage, Mr. Douglas Bullen<br>Actual: 69.55<br>Prediction: 68.73<br>Residual: 0.82\", \"Index: Boulos, Miss. 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6.4375, 69.55, 15.2458, 9.35, 7.2292, 11.1333, 5.0, 9.8458, 13.0], \"y\": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]}],                        {\"hovermode\": \"closest\", \"plot_bgcolor\": \"#fff\", \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Residuals vs actual Fare\"}, \"xaxis\": {\"title\": {\"text\": \"Actual Fare ($)\"}}, \"yaxis\": {\"title\": {\"text\": \"residuals ratio<br>(y/preds)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "<div>                            <div id=\"10afed7a-cfd4-4e39-b1c4-1f4af0bdc9d1\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"10afed7a-cfd4-4e39-b1c4-1f4af0bdc9d1\")) {                    Plotly.newPlot(                        \"10afed7a-cfd4-4e39-b1c4-1f4af0bdc9d1\",                        [{\"hoverinfo\": \"text\", \"mode\": \"markers\", \"name\": \"residuals ratio<br>(y/preds)\", \"text\": [\"Index: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Observed: 71.28<br>Prediction: 111.90<br>Residual: -40.62\", \"Index: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Observed: 53.10<br>Prediction: 84.10<br>Residual: -31.00\", \"Index: Palsson, Master. Gosta Leonard<br>Observed: 21.07<br>Prediction: 24.37<br>Residual: -3.29\", \"Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Observed: 11.13<br>Prediction: 18.78<br>Residual: -7.64\", \"Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Observed: 30.07<br>Prediction: 24.13<br>Residual: 5.94\", \"Index: Saundercock, Mr. William Henry<br>Observed: 8.05<br>Prediction: 9.01<br>Residual: -0.96\", \"Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Observed: 7.85<br>Prediction: 9.29<br>Residual: -1.43\", \"Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Observed: 31.39<br>Prediction: 25.49<br>Residual: 5.90\", \"Index: Glynn, Miss. Mary Agatha<br>Observed: 7.75<br>Prediction: 11.46<br>Residual: -3.71\", \"Index: Meyer, Mr. Edgar Joseph<br>Observed: 82.17<br>Prediction: 69.22<br>Residual: 12.95\", \"Index: Kraeff, Mr. Theodor<br>Observed: 7.90<br>Prediction: 9.30<br>Residual: -1.40\", \"Index: Devaney, Miss. Margaret Delia<br>Observed: 7.88<br>Prediction: 10.96<br>Residual: -3.09\", \"Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Observed: 17.80<br>Prediction: 13.12<br>Residual: 4.68\", \"Index: Rugg, Miss. Emily<br>Observed: 10.50<br>Prediction: 14.20<br>Residual: -3.70\", \"Index: Harris, Mr. Henry Birkhardt<br>Observed: 83.47<br>Prediction: 59.72<br>Residual: 23.75\", \"Index: Skoog, Master. Harald<br>Observed: 27.90<br>Prediction: 25.98<br>Residual: 1.92\", \"Index: Kink, Mr. Vincenz<br>Observed: 8.66<br>Prediction: 18.96<br>Residual: -10.29\", \"Index: Hood, Mr. Ambrose Jr<br>Observed: 73.50<br>Prediction: 14.14<br>Residual: 59.36\", \"Index: Ilett, Miss. Bertha<br>Observed: 10.50<br>Prediction: 15.84<br>Residual: -5.34\", \"Index: Ford, Mr. William Neal<br>Observed: 34.38<br>Prediction: 23.08<br>Residual: 11.30\", \"Index: Christmann, Mr. Emil<br>Observed: 8.05<br>Prediction: 9.09<br>Residual: -1.04\", \"Index: Andreasson, Mr. Paul Edvin<br>Observed: 7.85<br>Prediction: 9.01<br>Residual: -1.15\", \"Index: Chaffee, Mr. Herbert Fuller<br>Observed: 61.17<br>Prediction: 50.89<br>Residual: 10.28\", \"Index: Petroff, Mr. Pastcho (\\\"Pentcho\\\")<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54\", \"Index: White, Mr. Richard Frasar<br>Observed: 77.29<br>Prediction: 88.47<br>Residual: -11.18\", \"Index: Rekic, Mr. Tido<br>Observed: 7.90<br>Prediction: 9.07<br>Residual: -1.17\", \"Index: Moran, Miss. Bertha<br>Observed: 24.15<br>Prediction: 14.56<br>Residual: 9.59\", \"Index: Barton, Mr. David John<br>Observed: 8.05<br>Prediction: 9.01<br>Residual: -0.96\", \"Index: Jussila, Miss. Katriina<br>Observed: 9.82<br>Prediction: 13.12<br>Residual: -3.30\", \"Index: Pekoniemi, Mr. Edvard<br>Observed: 7.92<br>Prediction: 9.01<br>Residual: -1.08\", \"Index: Turpin, Mr. William John Robert<br>Observed: 21.00<br>Prediction: 24.72<br>Residual: -3.72\", \"Index: Moore, Mr. Leonard Charles<br>Observed: 8.05<br>Prediction: 9.44<br>Residual: -1.39\", \"Index: Osen, Mr. Olaf Elon<br>Observed: 9.22<br>Prediction: 9.01<br>Residual: 0.21\", \"Index: Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Observed: 34.38<br>Prediction: 24.43<br>Residual: 9.95\", \"Index: Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Observed: 26.00<br>Prediction: 26.44<br>Residual: -0.44\", \"Index: Bateman, Rev. Robert James<br>Observed: 12.53<br>Prediction: 14.20<br>Residual: -1.68\", \"Index: Meo, Mr. Alfonzo<br>Observed: 8.05<br>Prediction: 9.07<br>Residual: -1.02\", \"Index: Cribb, Mr. John Hatfield<br>Observed: 16.10<br>Prediction: 18.64<br>Residual: -2.54\", \"Index: Chibnall, Mrs. (Edith Martha Bowerman)<br>Observed: 55.00<br>Prediction: 106.26<br>Residual: -51.26\", \"Index: Van der hoef, Mr. Wyckoff<br>Observed: 33.50<br>Prediction: 35.44<br>Residual: -1.94\", \"Index: Sivola, Mr. Antti Wilhelm<br>Observed: 7.92<br>Prediction: 9.01<br>Residual: -1.08\", \"Index: Klasen, Mr. Klas Albin<br>Observed: 7.85<br>Prediction: 19.61<br>Residual: -11.75\", \"Index: Rood, Mr. Hugh Roscoe<br>Observed: 50.00<br>Prediction: 39.90<br>Residual: 10.10\", \"Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Observed: 7.85<br>Prediction: 14.43<br>Residual: -6.58\", \"Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Observed: 27.72<br>Prediction: 135.58<br>Residual: -107.86\", \"Index: Vande Walle, Mr. Nestor Cyriel<br>Observed: 9.50<br>Prediction: 9.56<br>Residual: -0.06\", \"Index: Backstrom, Mr. Karl Alfred<br>Observed: 15.85<br>Prediction: 13.06<br>Residual: 2.79\", \"Index: Blank, Mr. Henry<br>Observed: 31.00<br>Prediction: 74.74<br>Residual: -43.74\", \"Index: Ali, Mr. Ahmed<br>Observed: 7.05<br>Prediction: 9.01<br>Residual: -1.96\", \"Index: Green, Mr. George Henry<br>Observed: 8.05<br>Prediction: 9.07<br>Residual: -1.02\", \"Index: Nenkoff, Mr. Christo<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54\", \"Index: Asplund, Miss. Lillian Gertrud<br>Observed: 31.39<br>Prediction: 27.81<br>Residual: 3.58\", \"Index: Harknett, Miss. Alice Phoebe<br>Observed: 7.55<br>Prediction: 9.44<br>Residual: -1.89\", \"Index: Hunt, Mr. George Henry<br>Observed: 12.28<br>Prediction: 14.14<br>Residual: -1.87\", \"Index: Reed, Mr. James George<br>Observed: 7.25<br>Prediction: 9.44<br>Residual: -2.19\", \"Index: Stead, Mr. William Thomas<br>Observed: 26.55<br>Prediction: 44.84<br>Residual: -18.29\", \"Index: Thorne, Mrs. Gertrude Maybelle<br>Observed: 79.20<br>Prediction: 119.07<br>Residual: -39.87\", \"Index: Parrish, Mrs. (Lutie Davis)<br>Observed: 26.00<br>Prediction: 31.56<br>Residual: -5.56\", \"Index: Smith, Mr. Thomas<br>Observed: 7.75<br>Prediction: 9.30<br>Residual: -1.55\", \"Index: Asplund, Master. Edvin Rojj Felix<br>Observed: 31.39<br>Prediction: 28.09<br>Residual: 3.30\", \"Index: Healy, Miss. Hanora \\\"Nora\\\"<br>Observed: 7.75<br>Prediction: 11.46<br>Residual: -3.71\", \"Index: Andrews, Miss. Kornelia Theodosia<br>Observed: 77.96<br>Prediction: 61.94<br>Residual: 16.02\", \"Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Observed: 20.25<br>Prediction: 19.11<br>Residual: 1.14\", \"Index: Smith, Mr. Richard William<br>Observed: 26.00<br>Prediction: 39.90<br>Residual: -13.90\", \"Index: Connolly, Miss. Kate<br>Observed: 7.75<br>Prediction: 10.96<br>Residual: -3.21\", \"Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Observed: 91.08<br>Prediction: 107.12<br>Residual: -16.04\", \"Index: Levy, Mr. Rene Jacques<br>Observed: 12.88<br>Prediction: 14.14<br>Residual: -1.27\", \"Index: Lewy, Mr. Ervin G<br>Observed: 27.72<br>Prediction: 65.42<br>Residual: -37.70\", \"Index: Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Observed: 8.05<br>Prediction: 9.44<br>Residual: -1.39\", \"Index: Sage, Mr. George John Jr<br>Observed: 69.55<br>Prediction: 69.32<br>Residual: 0.23\", \"Index: Nysveen, Mr. Johan Hansen<br>Observed: 6.24<br>Prediction: 9.07<br>Residual: -2.83\", \"Index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Observed: 133.65<br>Prediction: 84.92<br>Residual: 48.73\", \"Index: Denkoff, Mr. Mitto<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54\", \"Index: Burns, Miss. Elizabeth Margaret<br>Observed: 134.50<br>Prediction: 101.93<br>Residual: 32.57\", \"Index: Dimic, Mr. Jovan<br>Observed: 8.66<br>Prediction: 9.07<br>Residual: -0.41\", \"Index: del Carlo, Mr. Sebastiano<br>Observed: 27.72<br>Prediction: 24.72<br>Residual: 3.00\", \"Index: Beavan, Mr. William Thomas<br>Observed: 8.05<br>Prediction: 9.01<br>Residual: -0.96\", \"Index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Observed: 82.17<br>Prediction: 111.31<br>Residual: -29.14\", \"Index: Widener, Mr. Harry Elkins<br>Observed: 211.50<br>Prediction: 122.54<br>Residual: 88.96\", \"Index: Gustafsson, Mr. Karl Gideon<br>Observed: 7.78<br>Prediction: 9.01<br>Residual: -1.23\", \"Index: Plotcharsky, Mr. Vasil<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54\", \"Index: Goodwin, Master. Sidney Leonard<br>Observed: 46.90<br>Prediction: 42.47<br>Residual: 4.43\", \"Index: Sadlier, Mr. Matthew<br>Observed: 7.73<br>Prediction: 9.30<br>Residual: -1.57\", \"Index: Gustafsson, Mr. Johan Birger<br>Observed: 7.92<br>Prediction: 19.24<br>Residual: -11.31\", \"Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Observed: 16.70<br>Prediction: 18.57<br>Residual: -1.87\", \"Index: Niskanen, Mr. Juha<br>Observed: 7.92<br>Prediction: 13.02<br>Residual: -5.10\", \"Index: Minahan, Miss. Daisy E<br>Observed: 90.00<br>Prediction: 97.22<br>Residual: -7.22\", \"Index: Matthews, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Charters, Mr. David<br>Observed: 7.73<br>Prediction: 9.01<br>Residual: -1.27\", \"Index: Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Observed: 26.00<br>Prediction: 14.20<br>Residual: 11.80\", \"Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Observed: 26.25<br>Prediction: 27.89<br>Residual: -1.64\", \"Index: Johannesen-Bratthammer, Mr. Bernt<br>Observed: 8.11<br>Prediction: 12.55<br>Residual: -4.43\", \"Index: Peuchen, Major. Arthur Godfrey<br>Observed: 30.50<br>Prediction: 45.07<br>Residual: -14.57\", \"Index: Anderson, Mr. Harry<br>Observed: 26.55<br>Prediction: 39.01<br>Residual: -12.46\", \"Index: Milling, Mr. Jacob Christian<br>Observed: 13.00<br>Prediction: 14.20<br>Residual: -1.20\", \"Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Observed: 27.75<br>Prediction: 29.99<br>Residual: -2.24\", \"Index: Karlsson, Mr. Nils August<br>Observed: 7.52<br>Prediction: 9.01<br>Residual: -1.49\", \"Index: Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Observed: 0.00<br>Prediction: 13.26<br>Residual: -13.26\", \"Index: Bishop, Mr. Dickinson H<br>Observed: 91.08<br>Prediction: 146.18<br>Residual: -55.10\", \"Index: Windelov, Mr. Einar<br>Observed: 7.25<br>Prediction: 9.01<br>Residual: -1.76\", \"Index: Shellard, Mr. Frederick William<br>Observed: 15.10<br>Prediction: 9.44<br>Residual: 5.66\", \"Index: Svensson, Mr. Olof<br>Observed: 7.80<br>Prediction: 9.01<br>Residual: -1.21\", \"Index: O'Sullivan, Miss. Bridget Mary<br>Observed: 7.63<br>Prediction: 9.30<br>Residual: -1.67\", \"Index: Laitinen, Miss. Kristina Sofia<br>Observed: 9.59<br>Prediction: 9.07<br>Residual: 0.52\", \"Index: Penasco y Castellana, Mr. Victor de Satode<br>Observed: 108.90<br>Prediction: 77.01<br>Residual: 31.89\", \"Index: Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Observed: 26.55<br>Prediction: 46.34<br>Residual: -19.79\", \"Index: Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Observed: 26.00<br>Prediction: 24.73<br>Residual: 1.27\", \"Index: Kassem, Mr. Fared<br>Observed: 7.23<br>Prediction: 9.30<br>Residual: -2.07\", \"Index: Cacic, Miss. Marija<br>Observed: 8.66<br>Prediction: 9.09<br>Residual: -0.43\", \"Index: Hart, Miss. Eva Miriam<br>Observed: 26.25<br>Prediction: 25.60<br>Residual: 0.65\", \"Index: Butt, Major. Archibald Willingham<br>Observed: 26.55<br>Prediction: 35.44<br>Residual: -8.89\", \"Index: Beane, Mr. Edward<br>Observed: 26.00<br>Prediction: 25.23<br>Residual: 0.77\", \"Index: Goldsmith, Mr. Frank John<br>Observed: 20.52<br>Prediction: 19.61<br>Residual: 0.92\", \"Index: Ohman, Miss. Velin<br>Observed: 7.78<br>Prediction: 11.60<br>Residual: -3.83\", \"Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Observed: 79.65<br>Prediction: 96.58<br>Residual: -16.93\", \"Index: Morrow, Mr. Thomas Rowan<br>Observed: 7.75<br>Prediction: 9.30<br>Residual: -1.55\", \"Index: Harris, Mr. George<br>Observed: 10.50<br>Prediction: 15.21<br>Residual: -4.71\", \"Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Observed: 51.48<br>Prediction: 107.98<br>Residual: -56.50\", \"Index: Patchett, Mr. George<br>Observed: 14.50<br>Prediction: 9.01<br>Residual: 5.49\", \"Index: Ross, Mr. John Hugo<br>Observed: 40.12<br>Prediction: 82.43<br>Residual: -42.30\", \"Index: Murdlin, Mr. Joseph<br>Observed: 8.05<br>Prediction: 9.44<br>Residual: -1.39\", \"Index: Bourke, Miss. Mary<br>Observed: 7.75<br>Prediction: 19.99<br>Residual: -12.24\", \"Index: Boulos, Mr. Hanna<br>Observed: 7.22<br>Prediction: 9.30<br>Residual: -2.07\", \"Index: Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Observed: 56.93<br>Prediction: 74.41<br>Residual: -17.48\", \"Index: Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Observed: 26.55<br>Prediction: 132.87<br>Residual: -106.32\", \"Index: Lindell, Mr. Edvard Bengtsson<br>Observed: 15.55<br>Prediction: 13.06<br>Residual: 2.49\", \"Index: Daniel, Mr. Robert Williams<br>Observed: 30.50<br>Prediction: 44.05<br>Residual: -13.55\", \"Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Observed: 41.58<br>Prediction: 30.66<br>Residual: 10.92\", \"Index: Shutes, Miss. Elizabeth W<br>Observed: 153.46<br>Prediction: 78.64<br>Residual: 74.82\", \"Index: Jardin, Mr. Jose Neto<br>Observed: 7.05<br>Prediction: 9.44<br>Residual: -2.39\", \"Index: Horgan, Mr. John<br>Observed: 7.75<br>Prediction: 9.30<br>Residual: -1.55\", \"Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Observed: 16.10<br>Prediction: 13.12<br>Residual: 2.98\", \"Index: Yasbeck, Mr. Antoni<br>Observed: 14.45<br>Prediction: 13.12<br>Residual: 1.33\", \"Index: Bostandyeff, Mr. Guentcho<br>Observed: 7.90<br>Prediction: 9.13<br>Residual: -1.23\", \"Index: Lundahl, Mr. Johan Svensson<br>Observed: 7.05<br>Prediction: 9.07<br>Residual: -2.01\", \"Index: Stahelin-Maeglin, Dr. Max<br>Observed: 30.50<br>Prediction: 167.14<br>Residual: -136.64\", \"Index: Willey, Mr. Edward<br>Observed: 7.55<br>Prediction: 9.44<br>Residual: -1.89\", \"Index: Stanley, Miss. Amy Zillah Elsie<br>Observed: 7.55<br>Prediction: 11.60<br>Residual: -4.05\", \"Index: Hegarty, Miss. Hanora \\\"Nora\\\"<br>Observed: 6.75<br>Prediction: 9.01<br>Residual: -2.26\", \"Index: Eitemiller, Mr. George Floyd<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Colley, Mr. Edward Pomeroy<br>Observed: 25.59<br>Prediction: 36.25<br>Residual: -10.66\", \"Index: Coleff, Mr. Peju<br>Observed: 7.50<br>Prediction: 9.07<br>Residual: -1.57\", \"Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Observed: 39.00<br>Prediction: 26.92<br>Residual: 12.08\", \"Index: Davidson, Mr. Thornton<br>Observed: 52.00<br>Prediction: 46.49<br>Residual: 5.51\", \"Index: Turja, Miss. Anna Sofia<br>Observed: 9.84<br>Prediction: 11.60<br>Residual: -1.76\", \"Index: Hassab, Mr. Hammad<br>Observed: 76.73<br>Prediction: 61.45<br>Residual: 15.28\", \"Index: Goodwin, Mr. Charles Edward<br>Observed: 46.90<br>Prediction: 42.47<br>Residual: 4.43\", \"Index: Panula, Mr. Jaako Arnold<br>Observed: 39.69<br>Prediction: 27.31<br>Residual: 12.38\", \"Index: Fischer, Mr. Eberhard Thelander<br>Observed: 7.80<br>Prediction: 9.01<br>Residual: -1.21\", \"Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Observed: 7.65<br>Prediction: 9.07<br>Residual: -1.42\", \"Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Observed: 227.53<br>Prediction: 90.87<br>Residual: 136.65\", \"Index: Hansen, Mr. Henrik Juul<br>Observed: 7.85<br>Prediction: 13.12<br>Residual: -5.27\", \"Index: Calderhead, Mr. Edward Pennington<br>Observed: 26.29<br>Prediction: 39.01<br>Residual: -12.72\", \"Index: Klaber, Mr. Herman<br>Observed: 26.55<br>Prediction: 58.88<br>Residual: -32.33\", \"Index: Taylor, Mr. Elmer Zebley<br>Observed: 52.00<br>Prediction: 59.95<br>Residual: -7.95\", \"Index: Larsson, Mr. August Viktor<br>Observed: 9.48<br>Prediction: 9.09<br>Residual: 0.39\", \"Index: Greenberg, Mr. Samuel<br>Observed: 13.00<br>Prediction: 14.20<br>Residual: -1.20\", \"Index: Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Observed: 10.50<br>Prediction: 14.20<br>Residual: -3.70\", \"Index: McEvoy, Mr. Michael<br>Observed: 15.50<br>Prediction: 9.30<br>Residual: 6.20\", \"Index: Johnson, Mr. Malkolm Joackim<br>Observed: 7.78<br>Prediction: 9.16<br>Residual: -1.38\", \"Index: Gillespie, Mr. William Henry<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Allen, Miss. Elisabeth Walton<br>Observed: 211.34<br>Prediction: 77.13<br>Residual: 134.21\", \"Index: Berriman, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Troupiansky, Mr. Moses Aaron<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Williams, Mr. Leslie<br>Observed: 16.10<br>Prediction: 9.56<br>Residual: 6.54\", \"Index: Ivanoff, Mr. Kanio<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54\", \"Index: McNamee, Mr. Neal<br>Observed: 16.10<br>Prediction: 13.12<br>Residual: 2.98\", \"Index: Connaghton, Mr. Michael<br>Observed: 7.75<br>Prediction: 9.09<br>Residual: -1.34\", \"Index: Carlsson, Mr. August Sigfrid<br>Observed: 7.80<br>Prediction: 9.56<br>Residual: -1.76\", \"Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Observed: 86.50<br>Prediction: 76.42<br>Residual: 10.08\", \"Index: Eklund, Mr. Hans Linus<br>Observed: 7.78<br>Prediction: 9.01<br>Residual: -1.23\", \"Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Observed: 77.96<br>Prediction: 61.93<br>Residual: 16.03\", \"Index: Moran, Mr. Daniel J<br>Observed: 24.15<br>Prediction: 13.77<br>Residual: 10.38\", \"Index: Lievens, Mr. Rene Aime<br>Observed: 9.50<br>Prediction: 9.01<br>Residual: 0.49\", \"Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Observed: 211.34<br>Prediction: 104.14<br>Residual: 107.20\", \"Index: Ayoub, Miss. Banoura<br>Observed: 7.23<br>Prediction: 11.14<br>Residual: -3.91\", \"Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Observed: 57.00<br>Prediction: 76.64<br>Residual: -19.64\", \"Index: Johnston, Mr. Andrew G<br>Observed: 23.45<br>Prediction: 22.47<br>Residual: 0.98\", \"Index: Ali, Mr. William<br>Observed: 7.05<br>Prediction: 9.01<br>Residual: -1.96\", \"Index: Sjoblom, Miss. Anna Sofia<br>Observed: 7.50<br>Prediction: 11.60<br>Residual: -4.11\", \"Index: Guggenheim, Mr. Benjamin<br>Observed: 79.20<br>Prediction: 120.52<br>Residual: -41.32\", \"Index: Leader, Dr. Alice (Farnham)<br>Observed: 25.93<br>Prediction: 60.75<br>Residual: -34.82\", \"Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Observed: 26.25<br>Prediction: 26.92<br>Residual: -0.67\", \"Index: Carter, Master. William Thornton II<br>Observed: 120.00<br>Prediction: 151.12<br>Residual: -31.12\", \"Index: Thomas, Master. Assad Alexander<br>Observed: 8.52<br>Prediction: 17.56<br>Residual: -9.04\", \"Index: Johansson, Mr. Karl Johan<br>Observed: 7.78<br>Prediction: 9.09<br>Residual: -1.32\", \"Index: Slemen, Mr. Richard James<br>Observed: 10.50<br>Prediction: 14.14<br>Residual: -3.64\", \"Index: Tomlin, Mr. Ernest Portage<br>Observed: 8.05<br>Prediction: 9.09<br>Residual: -1.04\", \"Index: McCormack, Mr. Thomas Joseph<br>Observed: 7.75<br>Prediction: 11.77<br>Residual: -4.02\", \"Index: Richards, Master. George Sibley<br>Observed: 18.75<br>Prediction: 26.93<br>Residual: -8.18\", \"Index: Mudd, Mr. Thomas Charles<br>Observed: 10.50<br>Prediction: 15.78<br>Residual: -5.28\", \"Index: Lemberopolous, Mr. Peter L<br>Observed: 6.44<br>Prediction: 9.07<br>Residual: -2.63\", \"Index: Sage, Mr. Douglas Bullen<br>Observed: 69.55<br>Prediction: 69.32<br>Residual: 0.23\", \"Index: Boulos, Miss. Nourelain<br>Observed: 15.25<br>Prediction: 19.61<br>Residual: -4.36\", \"Index: Aks, Mrs. Sam (Leah Rosen)<br>Observed: 9.35<br>Prediction: 17.75<br>Residual: -8.40\", \"Index: Razi, Mr. Raihed<br>Observed: 7.23<br>Prediction: 9.30<br>Residual: -2.07\", \"Index: Johnson, Master. Harold Theodor<br>Observed: 11.13<br>Prediction: 19.11<br>Residual: -7.98\", \"Index: Carlsson, Mr. Frans Olof<br>Observed: 5.00<br>Prediction: 36.55<br>Residual: -31.55\", \"Index: Gustafsson, Mr. Alfred Ossian<br>Observed: 9.85<br>Prediction: 9.01<br>Residual: 0.84\", \"Index: Montvila, Rev. Juozas<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14\"], \"type\": \"scattergl\", \"x\": [71.2833, 53.1, 21.075, 11.1333, 30.0708, 8.05, 7.8542, 31.3875, 7.75, 82.1708, 7.8958, 7.8792, 17.8, 10.5, 83.475, 27.9, 8.6625, 73.5, 10.5, 34.375, 8.05, 7.8542, 61.175, 7.8958, 77.2875, 7.8958, 24.15, 8.05, 9.825, 7.925, 21.0, 8.05, 9.2167, 34.375, 26.0, 12.525, 8.05, 16.1, 55.0, 33.5, 7.925, 7.8542, 50.0, 7.8542, 27.7208, 9.5, 15.85, 31.0, 7.05, 8.05, 7.8958, 31.3875, 7.55, 12.275, 7.25, 26.55, 79.2, 26.0, 7.75, 31.3875, 7.75, 77.9583, 20.25, 26.0, 7.75, 91.0792, 12.875, 27.7208, 8.05, 69.55, 6.2375, 133.65, 7.8958, 134.5, 8.6625, 27.7208, 8.05, 82.1708, 211.5, 7.775, 7.8958, 46.9, 7.7292, 7.925, 16.7, 7.925, 90.0, 13.0, 7.7333, 26.0, 26.25, 8.1125, 30.5, 26.55, 13.0, 27.75, 7.5208, 0.0, 91.0792, 7.25, 15.1, 7.7958, 7.6292, 9.5875, 108.9, 26.55, 26.0, 7.2292, 8.6625, 26.25, 26.55, 26.0, 20.525, 7.775, 79.65, 7.75, 10.5, 51.4792, 14.5, 40.125, 8.05, 7.75, 7.225, 56.9292, 26.55, 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        "                            \n",
-       "var gd = document.getElementById('fdaaa621-5fad-481f-9c6b-288b248f987e');\n",
+       "var gd = document.getElementById('10afed7a-cfd4-4e39-b1c4-1f4af0bdc9d1');\n",
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@@ -121800,14 +83331,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 78,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:47:46.866290Z",
-     "start_time": "2020-10-12T08:47:46.852564Z"
+     "end_time": "2021-01-20T16:04:16.975923Z",
+     "start_time": "2021-01-20T16:04:16.959648Z"
     }
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/oege/projects/explainerdashboard/venv/lib/python3.8/site-packages/pandas/core/arraylike.py:274: RuntimeWarning:\n",
+      "\n",
+      "divide by zero encountered in log\n",
+      "\n"
+     ]
+    },
     {
      "data": {
       "application/vnd.plotly.v1+json": {
@@ -121820,208 +83361,208 @@
          "mode": "markers",
          "name": "residuals log ratio<br>(log(y/preds))",
          "text": [
-          "Index: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Actual: 71.28<br>Prediction: 115.74<br>Residual: -44.46",
-          "Index: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Actual: 53.1<br>Prediction: 85.71<br>Residual: -32.61",
-          "Index: Palsson, Master. Gosta Leonard<br>Actual: 21.08<br>Prediction: 27.59<br>Residual: -6.51",
-          "Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Actual: 11.13<br>Prediction: 18.0<br>Residual: -6.87",
-          "Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Actual: 30.07<br>Prediction: 22.78<br>Residual: 7.29",
-          "Index: Saundercock, Mr. William Henry<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7",
-          "Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Actual: 7.85<br>Prediction: 9.69<br>Residual: -1.83",
-          "Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Actual: 31.39<br>Prediction: 28.86<br>Residual: 2.53",
-          "Index: Glynn, Miss. Mary Agatha<br>Actual: 7.75<br>Prediction: 10.71<br>Residual: -2.96",
-          "Index: Meyer, Mr. Edgar Joseph<br>Actual: 82.17<br>Prediction: 75.17<br>Residual: 7.0",
-          "Index: Kraeff, Mr. Theodor<br>Actual: 7.9<br>Prediction: 8.9<br>Residual: -1.01",
-          "Index: Devaney, Miss. Margaret Delia<br>Actual: 7.88<br>Prediction: 10.34<br>Residual: -2.46",
-          "Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Actual: 17.8<br>Prediction: 11.97<br>Residual: 5.83",
-          "Index: Rugg, Miss. Emily<br>Actual: 10.5<br>Prediction: 13.72<br>Residual: -3.22",
-          "Index: Harris, Mr. Henry Birkhardt<br>Actual: 83.48<br>Prediction: 67.48<br>Residual: 16.0",
-          "Index: Skoog, Master. Harald<br>Actual: 27.9<br>Prediction: 30.03<br>Residual: -2.13",
-          "Index: Kink, Mr. Vincenz<br>Actual: 8.66<br>Prediction: 18.66<br>Residual: -10.0",
-          "Index: Hood, Mr. Ambrose Jr<br>Actual: 73.5<br>Prediction: 13.75<br>Residual: 59.75",
-          "Index: Ilett, Miss. Bertha<br>Actual: 10.5<br>Prediction: 14.94<br>Residual: -4.44",
-          "Index: Ford, Mr. William Neal<br>Actual: 34.38<br>Prediction: 27.46<br>Residual: 6.91",
-          "Index: Christmann, Mr. Emil<br>Actual: 8.05<br>Prediction: 8.94<br>Residual: -0.89",
-          "Index: Andreasson, Mr. Paul Edvin<br>Actual: 7.85<br>Prediction: 8.75<br>Residual: -0.9",
-          "Index: Chaffee, Mr. Herbert Fuller<br>Actual: 61.18<br>Prediction: 58.4<br>Residual: 2.78",
-          "Index: Petroff, Mr. Pastcho (\"Pentcho\")<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76",
-          "Index: White, Mr. Richard Frasar<br>Actual: 77.29<br>Prediction: 84.89<br>Residual: -7.6",
-          "Index: Rekic, Mr. Tido<br>Actual: 7.9<br>Prediction: 8.89<br>Residual: -0.99",
-          "Index: Moran, Miss. Bertha<br>Actual: 24.15<br>Prediction: 13.89<br>Residual: 10.26",
-          "Index: Barton, Mr. David John<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7",
-          "Index: Jussila, Miss. Katriina<br>Actual: 9.82<br>Prediction: 11.97<br>Residual: -2.15",
-          "Index: Pekoniemi, Mr. Edvard<br>Actual: 7.92<br>Prediction: 8.75<br>Residual: -0.83",
-          "Index: Turpin, Mr. William John Robert<br>Actual: 21.0<br>Prediction: 24.75<br>Residual: -3.75",
-          "Index: Moore, Mr. Leonard Charles<br>Actual: 8.05<br>Prediction: 9.65<br>Residual: -1.6",
-          "Index: Osen, Mr. Olaf Elon<br>Actual: 9.22<br>Prediction: 8.85<br>Residual: 0.36",
-          "Index: Ford, Miss. Robina Maggie \"Ruby\"<br>Actual: 34.38<br>Prediction: 27.59<br>Residual: 6.79",
-          "Index: Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Actual: 26.0<br>Prediction: 30.67<br>Residual: -4.67",
-          "Index: Bateman, Rev. Robert James<br>Actual: 12.52<br>Prediction: 14.29<br>Residual: -1.77",
-          "Index: Meo, Mr. Alfonzo<br>Actual: 8.05<br>Prediction: 8.89<br>Residual: -0.84",
-          "Index: Cribb, Mr. John Hatfield<br>Actual: 16.1<br>Prediction: 11.93<br>Residual: 4.17",
-          "Index: Chibnall, Mrs. (Edith Martha Bowerman)<br>Actual: 55.0<br>Prediction: 93.29<br>Residual: -38.29",
-          "Index: Van der hoef, Mr. Wyckoff<br>Actual: 33.5<br>Prediction: 40.87<br>Residual: -7.37",
-          "Index: Sivola, Mr. Antti Wilhelm<br>Actual: 7.92<br>Prediction: 8.75<br>Residual: -0.83",
-          "Index: Klasen, Mr. Klas Albin<br>Actual: 7.85<br>Prediction: 18.0<br>Residual: -10.14",
-          "Index: Rood, Mr. Hugh Roscoe<br>Actual: 50.0<br>Prediction: 40.55<br>Residual: 9.45",
-          "Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Actual: 7.85<br>Prediction: 11.9<br>Residual: -4.04",
-          "Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Actual: 27.72<br>Prediction: 134.65<br>Residual: -106.93",
-          "Index: Vande Walle, Mr. Nestor Cyriel<br>Actual: 9.5<br>Prediction: 9.03<br>Residual: 0.47",
-          "Index: Backstrom, Mr. Karl Alfred<br>Actual: 15.85<br>Prediction: 11.89<br>Residual: 3.96",
-          "Index: Blank, Mr. Henry<br>Actual: 31.0<br>Prediction: 82.07<br>Residual: -51.07",
-          "Index: Ali, Mr. Ahmed<br>Actual: 7.05<br>Prediction: 8.75<br>Residual: -1.7",
-          "Index: Green, Mr. George Henry<br>Actual: 8.05<br>Prediction: 8.89<br>Residual: -0.84",
-          "Index: Nenkoff, Mr. Christo<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76",
-          "Index: Asplund, Miss. Lillian Gertrud<br>Actual: 31.39<br>Prediction: 29.14<br>Residual: 2.25",
-          "Index: Harknett, Miss. Alice Phoebe<br>Actual: 7.55<br>Prediction: 9.65<br>Residual: -2.1",
-          "Index: Hunt, Mr. George Henry<br>Actual: 12.28<br>Prediction: 13.97<br>Residual: -1.7",
-          "Index: Reed, Mr. James George<br>Actual: 7.25<br>Prediction: 9.65<br>Residual: -2.4",
-          "Index: Stead, Mr. William Thomas<br>Actual: 26.55<br>Prediction: 43.47<br>Residual: -16.92",
-          "Index: Thorne, Mrs. Gertrude Maybelle<br>Actual: 79.2<br>Prediction: 101.1<br>Residual: -21.9",
-          "Index: Parrish, Mrs. (Lutie Davis)<br>Actual: 26.0<br>Prediction: 24.6<br>Residual: 1.4",
-          "Index: Smith, Mr. Thomas<br>Actual: 7.75<br>Prediction: 8.9<br>Residual: -1.15",
-          "Index: Asplund, Master. Edvin Rojj Felix<br>Actual: 31.39<br>Prediction: 29.14<br>Residual: 2.25",
-          "Index: Healy, Miss. Hanora \"Nora\"<br>Actual: 7.75<br>Prediction: 10.71<br>Residual: -2.96",
-          "Index: Andrews, Miss. Kornelia Theodosia<br>Actual: 77.96<br>Prediction: 71.44<br>Residual: 6.52",
-          "Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Actual: 20.25<br>Prediction: 18.0<br>Residual: 2.25",
-          "Index: Smith, Mr. Richard William<br>Actual: 26.0<br>Prediction: 40.55<br>Residual: -14.55",
-          "Index: Connolly, Miss. Kate<br>Actual: 7.75<br>Prediction: 10.34<br>Residual: -2.59",
-          "Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Actual: 91.08<br>Prediction: 110.98<br>Residual: -19.9",
-          "Index: Levy, Mr. Rene Jacques<br>Actual: 12.88<br>Prediction: 14.17<br>Residual: -1.3",
-          "Index: Lewy, Mr. Ervin G<br>Actual: 27.72<br>Prediction: 62.14<br>Residual: -34.41",
-          "Index: Williams, Mr. Howard Hugh \"Harry\"<br>Actual: 8.05<br>Prediction: 9.65<br>Residual: -1.6",
-          "Index: Sage, Mr. George John Jr<br>Actual: 69.55<br>Prediction: 68.73<br>Residual: 0.82",
-          "Index: Nysveen, Mr. Johan Hansen<br>Actual: 6.24<br>Prediction: 8.89<br>Residual: -2.65",
-          "Index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Actual: 133.65<br>Prediction: 87.49<br>Residual: 46.16",
-          "Index: Denkoff, Mr. Mitto<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76",
-          "Index: Burns, Miss. Elizabeth Margaret<br>Actual: 134.5<br>Prediction: 112.92<br>Residual: 21.58",
-          "Index: Dimic, Mr. Jovan<br>Actual: 8.66<br>Prediction: 8.89<br>Residual: -0.23",
-          "Index: del Carlo, Mr. Sebastiano<br>Actual: 27.72<br>Prediction: 24.41<br>Residual: 3.31",
-          "Index: Beavan, Mr. William Thomas<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7",
-          "Index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Actual: 82.17<br>Prediction: 100.49<br>Residual: -18.32",
-          "Index: Widener, Mr. Harry Elkins<br>Actual: 211.5<br>Prediction: 105.42<br>Residual: 106.08",
-          "Index: Gustafsson, Mr. Karl Gideon<br>Actual: 7.78<br>Prediction: 8.75<br>Residual: -0.98",
-          "Index: Plotcharsky, Mr. Vasil<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76",
-          "Index: Goodwin, Master. Sidney Leonard<br>Actual: 46.9<br>Prediction: 45.35<br>Residual: 1.55",
-          "Index: Sadlier, Mr. Matthew<br>Actual: 7.73<br>Prediction: 8.9<br>Residual: -1.17",
-          "Index: Gustafsson, Mr. Johan Birger<br>Actual: 7.92<br>Prediction: 18.66<br>Residual: -10.74",
-          "Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Actual: 16.7<br>Prediction: 18.0<br>Residual: -1.3",
-          "Index: Niskanen, Mr. Juha<br>Actual: 7.92<br>Prediction: 14.11<br>Residual: -6.18",
-          "Index: Minahan, Miss. Daisy E<br>Actual: 90.0<br>Prediction: 92.35<br>Residual: -2.35",
-          "Index: Matthews, Mr. William John<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97",
-          "Index: Charters, Mr. David<br>Actual: 7.73<br>Prediction: 8.7<br>Residual: -0.97",
-          "Index: Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Actual: 26.0<br>Prediction: 13.72<br>Residual: 12.28",
-          "Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Actual: 26.25<br>Prediction: 30.6<br>Residual: -4.35",
-          "Index: Johannesen-Bratthammer, Mr. Bernt<br>Actual: 8.11<br>Prediction: 12.99<br>Residual: -4.87",
-          "Index: Peuchen, Major. Arthur Godfrey<br>Actual: 30.5<br>Prediction: 45.79<br>Residual: -15.29",
-          "Index: Anderson, Mr. Harry<br>Actual: 26.55<br>Prediction: 38.74<br>Residual: -12.19",
-          "Index: Milling, Mr. Jacob Christian<br>Actual: 13.0<br>Prediction: 14.29<br>Residual: -1.29",
-          "Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Actual: 27.75<br>Prediction: 31.37<br>Residual: -3.62",
-          "Index: Karlsson, Mr. Nils August<br>Actual: 7.52<br>Prediction: 8.75<br>Residual: -1.23",
-          "Index: Frost, Mr. Anthony Wood \"Archie\"<br>Actual: 0.0<br>Prediction: 11.22<br>Residual: -11.22",
-          "Index: Bishop, Mr. Dickinson H<br>Actual: 91.08<br>Prediction: 147.49<br>Residual: -56.41",
-          "Index: Windelov, Mr. Einar<br>Actual: 7.25<br>Prediction: 8.75<br>Residual: -1.5",
-          "Index: Shellard, Mr. Frederick William<br>Actual: 15.1<br>Prediction: 9.65<br>Residual: 5.45",
-          "Index: Svensson, Mr. Olof<br>Actual: 7.8<br>Prediction: 8.75<br>Residual: -0.96",
-          "Index: O'Sullivan, Miss. Bridget Mary<br>Actual: 7.63<br>Prediction: 8.9<br>Residual: -1.27",
-          "Index: Laitinen, Miss. Kristina Sofia<br>Actual: 9.59<br>Prediction: 8.89<br>Residual: 0.7",
-          "Index: Penasco y Castellana, Mr. Victor de Satode<br>Actual: 108.9<br>Prediction: 79.23<br>Residual: 29.67",
-          "Index: Bradley, Mr. George (\"George Arthur Brayton\")<br>Actual: 26.55<br>Prediction: 42.89<br>Residual: -16.34",
-          "Index: Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Actual: 26.0<br>Prediction: 24.59<br>Residual: 1.41",
-          "Index: Kassem, Mr. Fared<br>Actual: 7.23<br>Prediction: 8.9<br>Residual: -1.67",
-          "Index: Cacic, Miss. Marija<br>Actual: 8.66<br>Prediction: 8.94<br>Residual: -0.28",
-          "Index: Hart, Miss. Eva Miriam<br>Actual: 26.25<br>Prediction: 29.02<br>Residual: -2.77",
-          "Index: Butt, Major. Archibald Willingham<br>Actual: 26.55<br>Prediction: 44.81<br>Residual: -18.26",
-          "Index: Beane, Mr. Edward<br>Actual: 26.0<br>Prediction: 24.75<br>Residual: 1.25",
-          "Index: Goldsmith, Mr. Frank John<br>Actual: 20.52<br>Prediction: 18.0<br>Residual: 2.53",
-          "Index: Ohman, Miss. Velin<br>Actual: 7.78<br>Prediction: 10.69<br>Residual: -2.91",
-          "Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Actual: 79.65<br>Prediction: 96.19<br>Residual: -16.54",
-          "Index: Morrow, Mr. Thomas Rowan<br>Actual: 7.75<br>Prediction: 8.9<br>Residual: -1.15",
-          "Index: Harris, Mr. George<br>Actual: 10.5<br>Prediction: 15.12<br>Residual: -4.62",
-          "Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Actual: 51.48<br>Prediction: 93.26<br>Residual: -41.78",
-          "Index: Patchett, Mr. George<br>Actual: 14.5<br>Prediction: 8.75<br>Residual: 5.75",
-          "Index: Ross, Mr. John Hugo<br>Actual: 40.12<br>Prediction: 99.13<br>Residual: -59.01",
-          "Index: Murdlin, Mr. Joseph<br>Actual: 8.05<br>Prediction: 9.65<br>Residual: -1.6",
-          "Index: Bourke, Miss. Mary<br>Actual: 7.75<br>Prediction: 18.34<br>Residual: -10.59",
-          "Index: Boulos, Mr. Hanna<br>Actual: 7.22<br>Prediction: 8.9<br>Residual: -1.68",
-          "Index: Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Actual: 56.93<br>Prediction: 81.19<br>Residual: -24.26",
-          "Index: Homer, Mr. Harry (\"Mr E Haven\")<br>Actual: 26.55<br>Prediction: 128.8<br>Residual: -102.25",
-          "Index: Lindell, Mr. Edvard Bengtsson<br>Actual: 15.55<br>Prediction: 11.89<br>Residual: 3.66",
-          "Index: Daniel, Mr. Robert Williams<br>Actual: 30.5<br>Prediction: 39.42<br>Residual: -8.92",
-          "Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Actual: 41.58<br>Prediction: 30.4<br>Residual: 11.18",
-          "Index: Shutes, Miss. Elizabeth W<br>Actual: 153.46<br>Prediction: 89.95<br>Residual: 63.51",
-          "Index: Jardin, Mr. Jose Neto<br>Actual: 7.05<br>Prediction: 9.65<br>Residual: -2.6",
-          "Index: Horgan, Mr. John<br>Actual: 7.75<br>Prediction: 8.9<br>Residual: -1.15",
-          "Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Actual: 16.1<br>Prediction: 12.02<br>Residual: 4.08",
-          "Index: Yasbeck, Mr. Antoni<br>Actual: 14.45<br>Prediction: 11.92<br>Residual: 2.53",
-          "Index: Bostandyeff, Mr. Guentcho<br>Actual: 7.9<br>Prediction: 9.35<br>Residual: -1.45",
-          "Index: Lundahl, Mr. Johan Svensson<br>Actual: 7.05<br>Prediction: 8.89<br>Residual: -1.83",
-          "Index: Stahelin-Maeglin, Dr. Max<br>Actual: 30.5<br>Prediction: 154.37<br>Residual: -123.87",
-          "Index: Willey, Mr. Edward<br>Actual: 7.55<br>Prediction: 9.65<br>Residual: -2.1",
-          "Index: Stanley, Miss. Amy Zillah Elsie<br>Actual: 7.55<br>Prediction: 10.69<br>Residual: -3.14",
-          "Index: Hegarty, Miss. Hanora \"Nora\"<br>Actual: 6.75<br>Prediction: 8.76<br>Residual: -2.01",
-          "Index: Eitemiller, Mr. George Floyd<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75",
-          "Index: Colley, Mr. Edward Pomeroy<br>Actual: 25.59<br>Prediction: 35.25<br>Residual: -9.66",
-          "Index: Coleff, Mr. Peju<br>Actual: 7.5<br>Prediction: 8.89<br>Residual: -1.39",
-          "Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Actual: 39.0<br>Prediction: 30.33<br>Residual: 8.67",
-          "Index: Davidson, Mr. Thornton<br>Actual: 52.0<br>Prediction: 58.02<br>Residual: -6.02",
-          "Index: Turja, Miss. Anna Sofia<br>Actual: 9.84<br>Prediction: 10.74<br>Residual: -0.9",
-          "Index: Hassab, Mr. Hammad<br>Actual: 76.73<br>Prediction: 65.84<br>Residual: 10.88",
-          "Index: Goodwin, Mr. Charles Edward<br>Actual: 46.9<br>Prediction: 45.35<br>Residual: 1.55",
-          "Index: Panula, Mr. Jaako Arnold<br>Actual: 39.69<br>Prediction: 30.03<br>Residual: 9.66",
-          "Index: Fischer, Mr. Eberhard Thelander<br>Actual: 7.8<br>Prediction: 8.81<br>Residual: -1.02",
-          "Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Actual: 7.65<br>Prediction: 8.89<br>Residual: -1.24",
-          "Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Actual: 227.52<br>Prediction: 92.48<br>Residual: 135.04",
-          "Index: Hansen, Mr. Henrik Juul<br>Actual: 7.85<br>Prediction: 11.92<br>Residual: -4.07",
-          "Index: Calderhead, Mr. Edward Pennington<br>Actual: 26.29<br>Prediction: 38.74<br>Residual: -12.45",
-          "Index: Klaber, Mr. Herman<br>Actual: 26.55<br>Prediction: 56.46<br>Residual: -29.91",
-          "Index: Taylor, Mr. Elmer Zebley<br>Actual: 52.0<br>Prediction: 66.53<br>Residual: -14.53",
-          "Index: Larsson, Mr. August Viktor<br>Actual: 9.48<br>Prediction: 8.94<br>Residual: 0.54",
-          "Index: Greenberg, Mr. Samuel<br>Actual: 13.0<br>Prediction: 14.29<br>Residual: -1.29",
-          "Index: Troutt, Miss. Edwina Celia \"Winnie\"<br>Actual: 10.5<br>Prediction: 13.94<br>Residual: -3.44",
-          "Index: McEvoy, Mr. Michael<br>Actual: 15.5<br>Prediction: 8.9<br>Residual: 6.6",
-          "Index: Johnson, Mr. Malkolm Joackim<br>Actual: 7.78<br>Prediction: 8.93<br>Residual: -1.16",
-          "Index: Gillespie, Mr. William Henry<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97",
-          "Index: Allen, Miss. Elisabeth Walton<br>Actual: 211.34<br>Prediction: 77.57<br>Residual: 133.77",
-          "Index: Berriman, Mr. William John<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75",
-          "Index: Troupiansky, Mr. Moses Aaron<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75",
-          "Index: Williams, Mr. Leslie<br>Actual: 16.1<br>Prediction: 9.03<br>Residual: 7.07",
-          "Index: Ivanoff, Mr. Kanio<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76",
-          "Index: McNamee, Mr. Neal<br>Actual: 16.1<br>Prediction: 11.87<br>Residual: 4.23",
-          "Index: Connaghton, Mr. Michael<br>Actual: 7.75<br>Prediction: 8.89<br>Residual: -1.14",
-          "Index: Carlsson, Mr. August Sigfrid<br>Actual: 7.8<br>Prediction: 9.03<br>Residual: -1.24",
-          "Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Actual: 86.5<br>Prediction: 83.69<br>Residual: 2.81",
-          "Index: Eklund, Mr. Hans Linus<br>Actual: 7.78<br>Prediction: 8.85<br>Residual: -1.08",
-          "Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Actual: 77.96<br>Prediction: 71.44<br>Residual: 6.52",
-          "Index: Moran, Mr. Daniel J<br>Actual: 24.15<br>Prediction: 14.1<br>Residual: 10.05",
-          "Index: Lievens, Mr. Rene Aime<br>Actual: 9.5<br>Prediction: 8.75<br>Residual: 0.75",
-          "Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Actual: 211.34<br>Prediction: 113.43<br>Residual: 97.91",
-          "Index: Ayoub, Miss. Banoura<br>Actual: 7.23<br>Prediction: 10.56<br>Residual: -3.33",
-          "Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Actual: 57.0<br>Prediction: 81.34<br>Residual: -24.34",
-          "Index: Johnston, Mr. Andrew G<br>Actual: 23.45<br>Prediction: 20.21<br>Residual: 3.24",
-          "Index: Ali, Mr. William<br>Actual: 7.05<br>Prediction: 8.75<br>Residual: -1.7",
-          "Index: Sjoblom, Miss. Anna Sofia<br>Actual: 7.5<br>Prediction: 10.74<br>Residual: -3.25",
-          "Index: Guggenheim, Mr. Benjamin<br>Actual: 79.2<br>Prediction: 114.23<br>Residual: -35.03",
-          "Index: Leader, Dr. Alice (Farnham)<br>Actual: 25.93<br>Prediction: 77.64<br>Residual: -51.72",
-          "Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Actual: 26.25<br>Prediction: 29.85<br>Residual: -3.6",
-          "Index: Carter, Master. William Thornton II<br>Actual: 120.0<br>Prediction: 121.63<br>Residual: -1.63",
-          "Index: Thomas, Master. Assad Alexander<br>Actual: 8.52<br>Prediction: 12.37<br>Residual: -3.85",
-          "Index: Johansson, Mr. Karl Johan<br>Actual: 7.78<br>Prediction: 8.94<br>Residual: -1.16",
-          "Index: Slemen, Mr. Richard James<br>Actual: 10.5<br>Prediction: 14.17<br>Residual: -3.67",
-          "Index: Tomlin, Mr. Ernest Portage<br>Actual: 8.05<br>Prediction: 8.94<br>Residual: -0.89",
-          "Index: McCormack, Mr. Thomas Joseph<br>Actual: 7.75<br>Prediction: 11.94<br>Residual: -4.19",
-          "Index: Richards, Master. George Sibley<br>Actual: 18.75<br>Prediction: 28.76<br>Residual: -10.01",
-          "Index: Mudd, Mr. Thomas Charles<br>Actual: 10.5<br>Prediction: 15.11<br>Residual: -4.61",
-          "Index: Lemberopolous, Mr. Peter L<br>Actual: 6.44<br>Prediction: 8.84<br>Residual: -2.4",
-          "Index: Sage, Mr. Douglas Bullen<br>Actual: 69.55<br>Prediction: 68.73<br>Residual: 0.82",
-          "Index: Boulos, Miss. Nourelain<br>Actual: 15.25<br>Prediction: 17.81<br>Residual: -2.56",
-          "Index: Aks, Mrs. Sam (Leah Rosen)<br>Actual: 9.35<br>Prediction: 11.89<br>Residual: -2.54",
-          "Index: Razi, Mr. Raihed<br>Actual: 7.23<br>Prediction: 8.9<br>Residual: -1.67",
-          "Index: Johnson, Master. Harold Theodor<br>Actual: 11.13<br>Prediction: 18.08<br>Residual: -6.94",
-          "Index: Carlsson, Mr. Frans Olof<br>Actual: 5.0<br>Prediction: 45.3<br>Residual: -40.3",
-          "Index: Gustafsson, Mr. Alfred Ossian<br>Actual: 9.85<br>Prediction: 8.75<br>Residual: 1.09",
-          "Index: Montvila, Rev. Juozas<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97"
-         ],
-         "type": "scatter",
+          "Index: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Observed: 71.28<br>Prediction: 111.90<br>Residual: -40.62",
+          "Index: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Observed: 53.10<br>Prediction: 84.10<br>Residual: -31.00",
+          "Index: Palsson, Master. Gosta Leonard<br>Observed: 21.07<br>Prediction: 24.37<br>Residual: -3.29",
+          "Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Observed: 11.13<br>Prediction: 18.78<br>Residual: -7.64",
+          "Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Observed: 30.07<br>Prediction: 24.13<br>Residual: 5.94",
+          "Index: Saundercock, Mr. William Henry<br>Observed: 8.05<br>Prediction: 9.01<br>Residual: -0.96",
+          "Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Observed: 7.85<br>Prediction: 9.29<br>Residual: -1.43",
+          "Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Observed: 31.39<br>Prediction: 25.49<br>Residual: 5.90",
+          "Index: Glynn, Miss. Mary Agatha<br>Observed: 7.75<br>Prediction: 11.46<br>Residual: -3.71",
+          "Index: Meyer, Mr. Edgar Joseph<br>Observed: 82.17<br>Prediction: 69.22<br>Residual: 12.95",
+          "Index: Kraeff, Mr. Theodor<br>Observed: 7.90<br>Prediction: 9.30<br>Residual: -1.40",
+          "Index: Devaney, Miss. Margaret Delia<br>Observed: 7.88<br>Prediction: 10.96<br>Residual: -3.09",
+          "Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Observed: 17.80<br>Prediction: 13.12<br>Residual: 4.68",
+          "Index: Rugg, Miss. Emily<br>Observed: 10.50<br>Prediction: 14.20<br>Residual: -3.70",
+          "Index: Harris, Mr. Henry Birkhardt<br>Observed: 83.47<br>Prediction: 59.72<br>Residual: 23.75",
+          "Index: Skoog, Master. Harald<br>Observed: 27.90<br>Prediction: 25.98<br>Residual: 1.92",
+          "Index: Kink, Mr. Vincenz<br>Observed: 8.66<br>Prediction: 18.96<br>Residual: -10.29",
+          "Index: Hood, Mr. Ambrose Jr<br>Observed: 73.50<br>Prediction: 14.14<br>Residual: 59.36",
+          "Index: Ilett, Miss. Bertha<br>Observed: 10.50<br>Prediction: 15.84<br>Residual: -5.34",
+          "Index: Ford, Mr. William Neal<br>Observed: 34.38<br>Prediction: 23.08<br>Residual: 11.30",
+          "Index: Christmann, Mr. Emil<br>Observed: 8.05<br>Prediction: 9.09<br>Residual: -1.04",
+          "Index: Andreasson, Mr. Paul Edvin<br>Observed: 7.85<br>Prediction: 9.01<br>Residual: -1.15",
+          "Index: Chaffee, Mr. Herbert Fuller<br>Observed: 61.17<br>Prediction: 50.89<br>Residual: 10.28",
+          "Index: Petroff, Mr. Pastcho (\"Pentcho\")<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54",
+          "Index: White, Mr. Richard Frasar<br>Observed: 77.29<br>Prediction: 88.47<br>Residual: -11.18",
+          "Index: Rekic, Mr. Tido<br>Observed: 7.90<br>Prediction: 9.07<br>Residual: -1.17",
+          "Index: Moran, Miss. Bertha<br>Observed: 24.15<br>Prediction: 14.56<br>Residual: 9.59",
+          "Index: Barton, Mr. David John<br>Observed: 8.05<br>Prediction: 9.01<br>Residual: -0.96",
+          "Index: Jussila, Miss. Katriina<br>Observed: 9.82<br>Prediction: 13.12<br>Residual: -3.30",
+          "Index: Pekoniemi, Mr. Edvard<br>Observed: 7.92<br>Prediction: 9.01<br>Residual: -1.08",
+          "Index: Turpin, Mr. William John Robert<br>Observed: 21.00<br>Prediction: 24.72<br>Residual: -3.72",
+          "Index: Moore, Mr. Leonard Charles<br>Observed: 8.05<br>Prediction: 9.44<br>Residual: -1.39",
+          "Index: Osen, Mr. Olaf Elon<br>Observed: 9.22<br>Prediction: 9.01<br>Residual: 0.21",
+          "Index: Ford, Miss. Robina Maggie \"Ruby\"<br>Observed: 34.38<br>Prediction: 24.43<br>Residual: 9.95",
+          "Index: Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Observed: 26.00<br>Prediction: 26.44<br>Residual: -0.44",
+          "Index: Bateman, Rev. Robert James<br>Observed: 12.53<br>Prediction: 14.20<br>Residual: -1.68",
+          "Index: Meo, Mr. Alfonzo<br>Observed: 8.05<br>Prediction: 9.07<br>Residual: -1.02",
+          "Index: Cribb, Mr. John Hatfield<br>Observed: 16.10<br>Prediction: 18.64<br>Residual: -2.54",
+          "Index: Chibnall, Mrs. (Edith Martha Bowerman)<br>Observed: 55.00<br>Prediction: 106.26<br>Residual: -51.26",
+          "Index: Van der hoef, Mr. Wyckoff<br>Observed: 33.50<br>Prediction: 35.44<br>Residual: -1.94",
+          "Index: Sivola, Mr. Antti Wilhelm<br>Observed: 7.92<br>Prediction: 9.01<br>Residual: -1.08",
+          "Index: Klasen, Mr. Klas Albin<br>Observed: 7.85<br>Prediction: 19.61<br>Residual: -11.75",
+          "Index: Rood, Mr. Hugh Roscoe<br>Observed: 50.00<br>Prediction: 39.90<br>Residual: 10.10",
+          "Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Observed: 7.85<br>Prediction: 14.43<br>Residual: -6.58",
+          "Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Observed: 27.72<br>Prediction: 135.58<br>Residual: -107.86",
+          "Index: Vande Walle, Mr. Nestor Cyriel<br>Observed: 9.50<br>Prediction: 9.56<br>Residual: -0.06",
+          "Index: Backstrom, Mr. Karl Alfred<br>Observed: 15.85<br>Prediction: 13.06<br>Residual: 2.79",
+          "Index: Blank, Mr. Henry<br>Observed: 31.00<br>Prediction: 74.74<br>Residual: -43.74",
+          "Index: Ali, Mr. Ahmed<br>Observed: 7.05<br>Prediction: 9.01<br>Residual: -1.96",
+          "Index: Green, Mr. George Henry<br>Observed: 8.05<br>Prediction: 9.07<br>Residual: -1.02",
+          "Index: Nenkoff, Mr. Christo<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54",
+          "Index: Asplund, Miss. Lillian Gertrud<br>Observed: 31.39<br>Prediction: 27.81<br>Residual: 3.58",
+          "Index: Harknett, Miss. Alice Phoebe<br>Observed: 7.55<br>Prediction: 9.44<br>Residual: -1.89",
+          "Index: Hunt, Mr. George Henry<br>Observed: 12.28<br>Prediction: 14.14<br>Residual: -1.87",
+          "Index: Reed, Mr. James George<br>Observed: 7.25<br>Prediction: 9.44<br>Residual: -2.19",
+          "Index: Stead, Mr. William Thomas<br>Observed: 26.55<br>Prediction: 44.84<br>Residual: -18.29",
+          "Index: Thorne, Mrs. Gertrude Maybelle<br>Observed: 79.20<br>Prediction: 119.07<br>Residual: -39.87",
+          "Index: Parrish, Mrs. (Lutie Davis)<br>Observed: 26.00<br>Prediction: 31.56<br>Residual: -5.56",
+          "Index: Smith, Mr. Thomas<br>Observed: 7.75<br>Prediction: 9.30<br>Residual: -1.55",
+          "Index: Asplund, Master. Edvin Rojj Felix<br>Observed: 31.39<br>Prediction: 28.09<br>Residual: 3.30",
+          "Index: Healy, Miss. Hanora \"Nora\"<br>Observed: 7.75<br>Prediction: 11.46<br>Residual: -3.71",
+          "Index: Andrews, Miss. Kornelia Theodosia<br>Observed: 77.96<br>Prediction: 61.94<br>Residual: 16.02",
+          "Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Observed: 20.25<br>Prediction: 19.11<br>Residual: 1.14",
+          "Index: Smith, Mr. Richard William<br>Observed: 26.00<br>Prediction: 39.90<br>Residual: -13.90",
+          "Index: Connolly, Miss. Kate<br>Observed: 7.75<br>Prediction: 10.96<br>Residual: -3.21",
+          "Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Observed: 91.08<br>Prediction: 107.12<br>Residual: -16.04",
+          "Index: Levy, Mr. Rene Jacques<br>Observed: 12.88<br>Prediction: 14.14<br>Residual: -1.27",
+          "Index: Lewy, Mr. Ervin G<br>Observed: 27.72<br>Prediction: 65.42<br>Residual: -37.70",
+          "Index: Williams, Mr. Howard Hugh \"Harry\"<br>Observed: 8.05<br>Prediction: 9.44<br>Residual: -1.39",
+          "Index: Sage, Mr. George John Jr<br>Observed: 69.55<br>Prediction: 69.32<br>Residual: 0.23",
+          "Index: Nysveen, Mr. Johan Hansen<br>Observed: 6.24<br>Prediction: 9.07<br>Residual: -2.83",
+          "Index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Observed: 133.65<br>Prediction: 84.92<br>Residual: 48.73",
+          "Index: Denkoff, Mr. Mitto<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54",
+          "Index: Burns, Miss. Elizabeth Margaret<br>Observed: 134.50<br>Prediction: 101.93<br>Residual: 32.57",
+          "Index: Dimic, Mr. Jovan<br>Observed: 8.66<br>Prediction: 9.07<br>Residual: -0.41",
+          "Index: del Carlo, Mr. Sebastiano<br>Observed: 27.72<br>Prediction: 24.72<br>Residual: 3.00",
+          "Index: Beavan, Mr. William Thomas<br>Observed: 8.05<br>Prediction: 9.01<br>Residual: -0.96",
+          "Index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Observed: 82.17<br>Prediction: 111.31<br>Residual: -29.14",
+          "Index: Widener, Mr. Harry Elkins<br>Observed: 211.50<br>Prediction: 122.54<br>Residual: 88.96",
+          "Index: Gustafsson, Mr. Karl Gideon<br>Observed: 7.78<br>Prediction: 9.01<br>Residual: -1.23",
+          "Index: Plotcharsky, Mr. Vasil<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54",
+          "Index: Goodwin, Master. Sidney Leonard<br>Observed: 46.90<br>Prediction: 42.47<br>Residual: 4.43",
+          "Index: Sadlier, Mr. Matthew<br>Observed: 7.73<br>Prediction: 9.30<br>Residual: -1.57",
+          "Index: Gustafsson, Mr. Johan Birger<br>Observed: 7.92<br>Prediction: 19.24<br>Residual: -11.31",
+          "Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Observed: 16.70<br>Prediction: 18.57<br>Residual: -1.87",
+          "Index: Niskanen, Mr. Juha<br>Observed: 7.92<br>Prediction: 13.02<br>Residual: -5.10",
+          "Index: Minahan, Miss. Daisy E<br>Observed: 90.00<br>Prediction: 97.22<br>Residual: -7.22",
+          "Index: Matthews, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Charters, Mr. David<br>Observed: 7.73<br>Prediction: 9.01<br>Residual: -1.27",
+          "Index: Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Observed: 26.00<br>Prediction: 14.20<br>Residual: 11.80",
+          "Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Observed: 26.25<br>Prediction: 27.89<br>Residual: -1.64",
+          "Index: Johannesen-Bratthammer, Mr. Bernt<br>Observed: 8.11<br>Prediction: 12.55<br>Residual: -4.43",
+          "Index: Peuchen, Major. Arthur Godfrey<br>Observed: 30.50<br>Prediction: 45.07<br>Residual: -14.57",
+          "Index: Anderson, Mr. Harry<br>Observed: 26.55<br>Prediction: 39.01<br>Residual: -12.46",
+          "Index: Milling, Mr. Jacob Christian<br>Observed: 13.00<br>Prediction: 14.20<br>Residual: -1.20",
+          "Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Observed: 27.75<br>Prediction: 29.99<br>Residual: -2.24",
+          "Index: Karlsson, Mr. Nils August<br>Observed: 7.52<br>Prediction: 9.01<br>Residual: -1.49",
+          "Index: Frost, Mr. Anthony Wood \"Archie\"<br>Observed: 0.00<br>Prediction: 13.26<br>Residual: -13.26",
+          "Index: Bishop, Mr. Dickinson H<br>Observed: 91.08<br>Prediction: 146.18<br>Residual: -55.10",
+          "Index: Windelov, Mr. Einar<br>Observed: 7.25<br>Prediction: 9.01<br>Residual: -1.76",
+          "Index: Shellard, Mr. Frederick William<br>Observed: 15.10<br>Prediction: 9.44<br>Residual: 5.66",
+          "Index: Svensson, Mr. Olof<br>Observed: 7.80<br>Prediction: 9.01<br>Residual: -1.21",
+          "Index: O'Sullivan, Miss. Bridget Mary<br>Observed: 7.63<br>Prediction: 9.30<br>Residual: -1.67",
+          "Index: Laitinen, Miss. Kristina Sofia<br>Observed: 9.59<br>Prediction: 9.07<br>Residual: 0.52",
+          "Index: Penasco y Castellana, Mr. Victor de Satode<br>Observed: 108.90<br>Prediction: 77.01<br>Residual: 31.89",
+          "Index: Bradley, Mr. George (\"George Arthur Brayton\")<br>Observed: 26.55<br>Prediction: 46.34<br>Residual: -19.79",
+          "Index: Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Observed: 26.00<br>Prediction: 24.73<br>Residual: 1.27",
+          "Index: Kassem, Mr. Fared<br>Observed: 7.23<br>Prediction: 9.30<br>Residual: -2.07",
+          "Index: Cacic, Miss. Marija<br>Observed: 8.66<br>Prediction: 9.09<br>Residual: -0.43",
+          "Index: Hart, Miss. Eva Miriam<br>Observed: 26.25<br>Prediction: 25.60<br>Residual: 0.65",
+          "Index: Butt, Major. Archibald Willingham<br>Observed: 26.55<br>Prediction: 35.44<br>Residual: -8.89",
+          "Index: Beane, Mr. Edward<br>Observed: 26.00<br>Prediction: 25.23<br>Residual: 0.77",
+          "Index: Goldsmith, Mr. Frank John<br>Observed: 20.52<br>Prediction: 19.61<br>Residual: 0.92",
+          "Index: Ohman, Miss. Velin<br>Observed: 7.78<br>Prediction: 11.60<br>Residual: -3.83",
+          "Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Observed: 79.65<br>Prediction: 96.58<br>Residual: -16.93",
+          "Index: Morrow, Mr. Thomas Rowan<br>Observed: 7.75<br>Prediction: 9.30<br>Residual: -1.55",
+          "Index: Harris, Mr. George<br>Observed: 10.50<br>Prediction: 15.21<br>Residual: -4.71",
+          "Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Observed: 51.48<br>Prediction: 107.98<br>Residual: -56.50",
+          "Index: Patchett, Mr. George<br>Observed: 14.50<br>Prediction: 9.01<br>Residual: 5.49",
+          "Index: Ross, Mr. John Hugo<br>Observed: 40.12<br>Prediction: 82.43<br>Residual: -42.30",
+          "Index: Murdlin, Mr. Joseph<br>Observed: 8.05<br>Prediction: 9.44<br>Residual: -1.39",
+          "Index: Bourke, Miss. Mary<br>Observed: 7.75<br>Prediction: 19.99<br>Residual: -12.24",
+          "Index: Boulos, Mr. Hanna<br>Observed: 7.22<br>Prediction: 9.30<br>Residual: -2.07",
+          "Index: Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Observed: 56.93<br>Prediction: 74.41<br>Residual: -17.48",
+          "Index: Homer, Mr. Harry (\"Mr E Haven\")<br>Observed: 26.55<br>Prediction: 132.87<br>Residual: -106.32",
+          "Index: Lindell, Mr. Edvard Bengtsson<br>Observed: 15.55<br>Prediction: 13.06<br>Residual: 2.49",
+          "Index: Daniel, Mr. Robert Williams<br>Observed: 30.50<br>Prediction: 44.05<br>Residual: -13.55",
+          "Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Observed: 41.58<br>Prediction: 30.66<br>Residual: 10.92",
+          "Index: Shutes, Miss. Elizabeth W<br>Observed: 153.46<br>Prediction: 78.64<br>Residual: 74.82",
+          "Index: Jardin, Mr. Jose Neto<br>Observed: 7.05<br>Prediction: 9.44<br>Residual: -2.39",
+          "Index: Horgan, Mr. John<br>Observed: 7.75<br>Prediction: 9.30<br>Residual: -1.55",
+          "Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Observed: 16.10<br>Prediction: 13.12<br>Residual: 2.98",
+          "Index: Yasbeck, Mr. Antoni<br>Observed: 14.45<br>Prediction: 13.12<br>Residual: 1.33",
+          "Index: Bostandyeff, Mr. Guentcho<br>Observed: 7.90<br>Prediction: 9.13<br>Residual: -1.23",
+          "Index: Lundahl, Mr. Johan Svensson<br>Observed: 7.05<br>Prediction: 9.07<br>Residual: -2.01",
+          "Index: Stahelin-Maeglin, Dr. Max<br>Observed: 30.50<br>Prediction: 167.14<br>Residual: -136.64",
+          "Index: Willey, Mr. Edward<br>Observed: 7.55<br>Prediction: 9.44<br>Residual: -1.89",
+          "Index: Stanley, Miss. Amy Zillah Elsie<br>Observed: 7.55<br>Prediction: 11.60<br>Residual: -4.05",
+          "Index: Hegarty, Miss. Hanora \"Nora\"<br>Observed: 6.75<br>Prediction: 9.01<br>Residual: -2.26",
+          "Index: Eitemiller, Mr. George Floyd<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Colley, Mr. Edward Pomeroy<br>Observed: 25.59<br>Prediction: 36.25<br>Residual: -10.66",
+          "Index: Coleff, Mr. Peju<br>Observed: 7.50<br>Prediction: 9.07<br>Residual: -1.57",
+          "Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Observed: 39.00<br>Prediction: 26.92<br>Residual: 12.08",
+          "Index: Davidson, Mr. Thornton<br>Observed: 52.00<br>Prediction: 46.49<br>Residual: 5.51",
+          "Index: Turja, Miss. Anna Sofia<br>Observed: 9.84<br>Prediction: 11.60<br>Residual: -1.76",
+          "Index: Hassab, Mr. Hammad<br>Observed: 76.73<br>Prediction: 61.45<br>Residual: 15.28",
+          "Index: Goodwin, Mr. Charles Edward<br>Observed: 46.90<br>Prediction: 42.47<br>Residual: 4.43",
+          "Index: Panula, Mr. Jaako Arnold<br>Observed: 39.69<br>Prediction: 27.31<br>Residual: 12.38",
+          "Index: Fischer, Mr. Eberhard Thelander<br>Observed: 7.80<br>Prediction: 9.01<br>Residual: -1.21",
+          "Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Observed: 7.65<br>Prediction: 9.07<br>Residual: -1.42",
+          "Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Observed: 227.53<br>Prediction: 90.87<br>Residual: 136.65",
+          "Index: Hansen, Mr. Henrik Juul<br>Observed: 7.85<br>Prediction: 13.12<br>Residual: -5.27",
+          "Index: Calderhead, Mr. Edward Pennington<br>Observed: 26.29<br>Prediction: 39.01<br>Residual: -12.72",
+          "Index: Klaber, Mr. Herman<br>Observed: 26.55<br>Prediction: 58.88<br>Residual: -32.33",
+          "Index: Taylor, Mr. Elmer Zebley<br>Observed: 52.00<br>Prediction: 59.95<br>Residual: -7.95",
+          "Index: Larsson, Mr. August Viktor<br>Observed: 9.48<br>Prediction: 9.09<br>Residual: 0.39",
+          "Index: Greenberg, Mr. Samuel<br>Observed: 13.00<br>Prediction: 14.20<br>Residual: -1.20",
+          "Index: Troutt, Miss. Edwina Celia \"Winnie\"<br>Observed: 10.50<br>Prediction: 14.20<br>Residual: -3.70",
+          "Index: McEvoy, Mr. Michael<br>Observed: 15.50<br>Prediction: 9.30<br>Residual: 6.20",
+          "Index: Johnson, Mr. Malkolm Joackim<br>Observed: 7.78<br>Prediction: 9.16<br>Residual: -1.38",
+          "Index: Gillespie, Mr. William Henry<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Allen, Miss. Elisabeth Walton<br>Observed: 211.34<br>Prediction: 77.13<br>Residual: 134.21",
+          "Index: Berriman, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Troupiansky, Mr. Moses Aaron<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Williams, Mr. Leslie<br>Observed: 16.10<br>Prediction: 9.56<br>Residual: 6.54",
+          "Index: Ivanoff, Mr. Kanio<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54",
+          "Index: McNamee, Mr. Neal<br>Observed: 16.10<br>Prediction: 13.12<br>Residual: 2.98",
+          "Index: Connaghton, Mr. Michael<br>Observed: 7.75<br>Prediction: 9.09<br>Residual: -1.34",
+          "Index: Carlsson, Mr. August Sigfrid<br>Observed: 7.80<br>Prediction: 9.56<br>Residual: -1.76",
+          "Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Observed: 86.50<br>Prediction: 76.42<br>Residual: 10.08",
+          "Index: Eklund, Mr. Hans Linus<br>Observed: 7.78<br>Prediction: 9.01<br>Residual: -1.23",
+          "Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Observed: 77.96<br>Prediction: 61.93<br>Residual: 16.03",
+          "Index: Moran, Mr. Daniel J<br>Observed: 24.15<br>Prediction: 13.77<br>Residual: 10.38",
+          "Index: Lievens, Mr. Rene Aime<br>Observed: 9.50<br>Prediction: 9.01<br>Residual: 0.49",
+          "Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Observed: 211.34<br>Prediction: 104.14<br>Residual: 107.20",
+          "Index: Ayoub, Miss. Banoura<br>Observed: 7.23<br>Prediction: 11.14<br>Residual: -3.91",
+          "Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Observed: 57.00<br>Prediction: 76.64<br>Residual: -19.64",
+          "Index: Johnston, Mr. Andrew G<br>Observed: 23.45<br>Prediction: 22.47<br>Residual: 0.98",
+          "Index: Ali, Mr. William<br>Observed: 7.05<br>Prediction: 9.01<br>Residual: -1.96",
+          "Index: Sjoblom, Miss. Anna Sofia<br>Observed: 7.50<br>Prediction: 11.60<br>Residual: -4.11",
+          "Index: Guggenheim, Mr. Benjamin<br>Observed: 79.20<br>Prediction: 120.52<br>Residual: -41.32",
+          "Index: Leader, Dr. Alice (Farnham)<br>Observed: 25.93<br>Prediction: 60.75<br>Residual: -34.82",
+          "Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Observed: 26.25<br>Prediction: 26.92<br>Residual: -0.67",
+          "Index: Carter, Master. William Thornton II<br>Observed: 120.00<br>Prediction: 151.12<br>Residual: -31.12",
+          "Index: Thomas, Master. Assad Alexander<br>Observed: 8.52<br>Prediction: 17.56<br>Residual: -9.04",
+          "Index: Johansson, Mr. Karl Johan<br>Observed: 7.78<br>Prediction: 9.09<br>Residual: -1.32",
+          "Index: Slemen, Mr. Richard James<br>Observed: 10.50<br>Prediction: 14.14<br>Residual: -3.64",
+          "Index: Tomlin, Mr. Ernest Portage<br>Observed: 8.05<br>Prediction: 9.09<br>Residual: -1.04",
+          "Index: McCormack, Mr. Thomas Joseph<br>Observed: 7.75<br>Prediction: 11.77<br>Residual: -4.02",
+          "Index: Richards, Master. George Sibley<br>Observed: 18.75<br>Prediction: 26.93<br>Residual: -8.18",
+          "Index: Mudd, Mr. Thomas Charles<br>Observed: 10.50<br>Prediction: 15.78<br>Residual: -5.28",
+          "Index: Lemberopolous, Mr. Peter L<br>Observed: 6.44<br>Prediction: 9.07<br>Residual: -2.63",
+          "Index: Sage, Mr. Douglas Bullen<br>Observed: 69.55<br>Prediction: 69.32<br>Residual: 0.23",
+          "Index: Boulos, Miss. Nourelain<br>Observed: 15.25<br>Prediction: 19.61<br>Residual: -4.36",
+          "Index: Aks, Mrs. Sam (Leah Rosen)<br>Observed: 9.35<br>Prediction: 17.75<br>Residual: -8.40",
+          "Index: Razi, Mr. Raihed<br>Observed: 7.23<br>Prediction: 9.30<br>Residual: -2.07",
+          "Index: Johnson, Master. Harold Theodor<br>Observed: 11.13<br>Prediction: 19.11<br>Residual: -7.98",
+          "Index: Carlsson, Mr. Frans Olof<br>Observed: 5.00<br>Prediction: 36.55<br>Residual: -31.55",
+          "Index: Gustafsson, Mr. Alfred Ossian<br>Observed: 9.85<br>Prediction: 9.01<br>Residual: 0.84",
+          "Index: Montvila, Rev. Juozas<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14"
+         ],
+         "type": "scattergl",
          "x": [
           71.2833,
           53.1,
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         },
         {
          "hoverinfo": "none",
          "mode": "lines",
-         "name": "Actual Fare ($)",
-         "type": "scatter",
+         "name": "Observed Fare ($)",
+         "type": "scattergl",
          "x": [
           71.2833,
           53.1,
@@ -122851,11 +84392,11 @@
          }
         },
         "title": {
-         "text": "Residuals vs actual Fare"
+         "text": "Residuals vs observed Fare"
         },
         "xaxis": {
          "title": {
-          "text": "Actual Fare ($)"
+          "text": "Observed Fare ($)"
          }
         },
         "yaxis": {
@@ -122866,9 +84407,9 @@
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       },
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Margaret Delia<br>Actual: 7.88<br>Prediction: 10.34<br>Residual: -2.46\", \"Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Actual: 17.8<br>Prediction: 11.97<br>Residual: 5.83\", \"Index: Rugg, Miss. Emily<br>Actual: 10.5<br>Prediction: 13.72<br>Residual: -3.22\", \"Index: Harris, Mr. Henry Birkhardt<br>Actual: 83.48<br>Prediction: 67.48<br>Residual: 16.0\", \"Index: Skoog, Master. Harald<br>Actual: 27.9<br>Prediction: 30.03<br>Residual: -2.13\", \"Index: Kink, Mr. Vincenz<br>Actual: 8.66<br>Prediction: 18.66<br>Residual: -10.0\", \"Index: Hood, Mr. Ambrose Jr<br>Actual: 73.5<br>Prediction: 13.75<br>Residual: 59.75\", \"Index: Ilett, Miss. Bertha<br>Actual: 10.5<br>Prediction: 14.94<br>Residual: -4.44\", \"Index: Ford, Mr. William Neal<br>Actual: 34.38<br>Prediction: 27.46<br>Residual: 6.91\", \"Index: Christmann, Mr. Emil<br>Actual: 8.05<br>Prediction: 8.94<br>Residual: -0.89\", \"Index: Andreasson, Mr. Paul Edvin<br>Actual: 7.85<br>Prediction: 8.75<br>Residual: -0.9\", \"Index: Chaffee, Mr. Herbert Fuller<br>Actual: 61.18<br>Prediction: 58.4<br>Residual: 2.78\", \"Index: Petroff, Mr. Pastcho (\\\"Pentcho\\\")<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76\", \"Index: White, Mr. Richard Frasar<br>Actual: 77.29<br>Prediction: 84.89<br>Residual: -7.6\", \"Index: Rekic, Mr. Tido<br>Actual: 7.9<br>Prediction: 8.89<br>Residual: -0.99\", \"Index: Moran, Miss. Bertha<br>Actual: 24.15<br>Prediction: 13.89<br>Residual: 10.26\", \"Index: Barton, Mr. David John<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7\", \"Index: Jussila, Miss. Katriina<br>Actual: 9.82<br>Prediction: 11.97<br>Residual: -2.15\", \"Index: Pekoniemi, Mr. Edvard<br>Actual: 7.92<br>Prediction: 8.75<br>Residual: -0.83\", \"Index: Turpin, Mr. William John Robert<br>Actual: 21.0<br>Prediction: 24.75<br>Residual: -3.75\", \"Index: Moore, Mr. Leonard Charles<br>Actual: 8.05<br>Prediction: 9.65<br>Residual: -1.6\", \"Index: Osen, Mr. Olaf Elon<br>Actual: 9.22<br>Prediction: 8.85<br>Residual: 0.36\", \"Index: Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Actual: 34.38<br>Prediction: 27.59<br>Residual: 6.79\", \"Index: Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Actual: 26.0<br>Prediction: 30.67<br>Residual: -4.67\", \"Index: Bateman, Rev. Robert James<br>Actual: 12.52<br>Prediction: 14.29<br>Residual: -1.77\", \"Index: Meo, Mr. Alfonzo<br>Actual: 8.05<br>Prediction: 8.89<br>Residual: -0.84\", \"Index: Cribb, Mr. John Hatfield<br>Actual: 16.1<br>Prediction: 11.93<br>Residual: 4.17\", \"Index: Chibnall, Mrs. (Edith Martha Bowerman)<br>Actual: 55.0<br>Prediction: 93.29<br>Residual: -38.29\", \"Index: Van der hoef, Mr. Wyckoff<br>Actual: 33.5<br>Prediction: 40.87<br>Residual: -7.37\", \"Index: Sivola, Mr. Antti Wilhelm<br>Actual: 7.92<br>Prediction: 8.75<br>Residual: -0.83\", \"Index: Klasen, Mr. Klas Albin<br>Actual: 7.85<br>Prediction: 18.0<br>Residual: -10.14\", \"Index: Rood, Mr. Hugh Roscoe<br>Actual: 50.0<br>Prediction: 40.55<br>Residual: 9.45\", \"Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Actual: 7.85<br>Prediction: 11.9<br>Residual: -4.04\", \"Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Actual: 27.72<br>Prediction: 134.65<br>Residual: -106.93\", \"Index: Vande Walle, Mr. Nestor Cyriel<br>Actual: 9.5<br>Prediction: 9.03<br>Residual: 0.47\", \"Index: Backstrom, Mr. Karl Alfred<br>Actual: 15.85<br>Prediction: 11.89<br>Residual: 3.96\", \"Index: Blank, Mr. Henry<br>Actual: 31.0<br>Prediction: 82.07<br>Residual: -51.07\", \"Index: Ali, Mr. Ahmed<br>Actual: 7.05<br>Prediction: 8.75<br>Residual: -1.7\", \"Index: Green, Mr. George Henry<br>Actual: 8.05<br>Prediction: 8.89<br>Residual: -0.84\", \"Index: Nenkoff, Mr. Christo<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76\", \"Index: Asplund, Miss. Lillian Gertrud<br>Actual: 31.39<br>Prediction: 29.14<br>Residual: 2.25\", \"Index: Harknett, Miss. Alice Phoebe<br>Actual: 7.55<br>Prediction: 9.65<br>Residual: -2.1\", \"Index: Hunt, Mr. George Henry<br>Actual: 12.28<br>Prediction: 13.97<br>Residual: -1.7\", \"Index: Reed, Mr. James George<br>Actual: 7.25<br>Prediction: 9.65<br>Residual: -2.4\", \"Index: Stead, Mr. William Thomas<br>Actual: 26.55<br>Prediction: 43.47<br>Residual: -16.92\", \"Index: Thorne, Mrs. Gertrude Maybelle<br>Actual: 79.2<br>Prediction: 101.1<br>Residual: -21.9\", \"Index: Parrish, Mrs. (Lutie Davis)<br>Actual: 26.0<br>Prediction: 24.6<br>Residual: 1.4\", \"Index: Smith, Mr. Thomas<br>Actual: 7.75<br>Prediction: 8.9<br>Residual: -1.15\", \"Index: Asplund, Master. Edvin Rojj Felix<br>Actual: 31.39<br>Prediction: 29.14<br>Residual: 2.25\", \"Index: Healy, Miss. Hanora \\\"Nora\\\"<br>Actual: 7.75<br>Prediction: 10.71<br>Residual: -2.96\", \"Index: Andrews, Miss. Kornelia Theodosia<br>Actual: 77.96<br>Prediction: 71.44<br>Residual: 6.52\", \"Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Actual: 20.25<br>Prediction: 18.0<br>Residual: 2.25\", \"Index: Smith, Mr. Richard William<br>Actual: 26.0<br>Prediction: 40.55<br>Residual: -14.55\", \"Index: Connolly, Miss. Kate<br>Actual: 7.75<br>Prediction: 10.34<br>Residual: -2.59\", \"Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Actual: 91.08<br>Prediction: 110.98<br>Residual: -19.9\", \"Index: Levy, Mr. Rene Jacques<br>Actual: 12.88<br>Prediction: 14.17<br>Residual: -1.3\", \"Index: Lewy, Mr. Ervin G<br>Actual: 27.72<br>Prediction: 62.14<br>Residual: -34.41\", \"Index: Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Actual: 8.05<br>Prediction: 9.65<br>Residual: -1.6\", \"Index: Sage, Mr. George John Jr<br>Actual: 69.55<br>Prediction: 68.73<br>Residual: 0.82\", \"Index: Nysveen, Mr. Johan Hansen<br>Actual: 6.24<br>Prediction: 8.89<br>Residual: -2.65\", \"Index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Actual: 133.65<br>Prediction: 87.49<br>Residual: 46.16\", \"Index: Denkoff, Mr. Mitto<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76\", \"Index: Burns, Miss. Elizabeth Margaret<br>Actual: 134.5<br>Prediction: 112.92<br>Residual: 21.58\", \"Index: Dimic, Mr. Jovan<br>Actual: 8.66<br>Prediction: 8.89<br>Residual: -0.23\", \"Index: del Carlo, Mr. Sebastiano<br>Actual: 27.72<br>Prediction: 24.41<br>Residual: 3.31\", \"Index: Beavan, Mr. William Thomas<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7\", \"Index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Actual: 82.17<br>Prediction: 100.49<br>Residual: -18.32\", \"Index: Widener, Mr. Harry Elkins<br>Actual: 211.5<br>Prediction: 105.42<br>Residual: 106.08\", \"Index: Gustafsson, Mr. Karl Gideon<br>Actual: 7.78<br>Prediction: 8.75<br>Residual: -0.98\", \"Index: Plotcharsky, Mr. Vasil<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76\", \"Index: Goodwin, Master. Sidney Leonard<br>Actual: 46.9<br>Prediction: 45.35<br>Residual: 1.55\", \"Index: Sadlier, Mr. Matthew<br>Actual: 7.73<br>Prediction: 8.9<br>Residual: -1.17\", \"Index: Gustafsson, Mr. Johan Birger<br>Actual: 7.92<br>Prediction: 18.66<br>Residual: -10.74\", \"Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Actual: 16.7<br>Prediction: 18.0<br>Residual: -1.3\", \"Index: Niskanen, Mr. Juha<br>Actual: 7.92<br>Prediction: 14.11<br>Residual: -6.18\", \"Index: Minahan, Miss. Daisy E<br>Actual: 90.0<br>Prediction: 92.35<br>Residual: -2.35\", \"Index: Matthews, Mr. William John<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97\", \"Index: Charters, Mr. David<br>Actual: 7.73<br>Prediction: 8.7<br>Residual: -0.97\", \"Index: Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Actual: 26.0<br>Prediction: 13.72<br>Residual: 12.28\", \"Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Actual: 26.25<br>Prediction: 30.6<br>Residual: -4.35\", \"Index: Johannesen-Bratthammer, Mr. Bernt<br>Actual: 8.11<br>Prediction: 12.99<br>Residual: -4.87\", \"Index: Peuchen, Major. Arthur Godfrey<br>Actual: 30.5<br>Prediction: 45.79<br>Residual: -15.29\", \"Index: Anderson, Mr. Harry<br>Actual: 26.55<br>Prediction: 38.74<br>Residual: -12.19\", \"Index: Milling, Mr. Jacob Christian<br>Actual: 13.0<br>Prediction: 14.29<br>Residual: -1.29\", \"Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Actual: 27.75<br>Prediction: 31.37<br>Residual: -3.62\", \"Index: Karlsson, Mr. Nils August<br>Actual: 7.52<br>Prediction: 8.75<br>Residual: -1.23\", \"Index: Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Actual: 0.0<br>Prediction: 11.22<br>Residual: -11.22\", \"Index: Bishop, Mr. Dickinson H<br>Actual: 91.08<br>Prediction: 147.49<br>Residual: -56.41\", \"Index: Windelov, Mr. Einar<br>Actual: 7.25<br>Prediction: 8.75<br>Residual: -1.5\", \"Index: Shellard, Mr. Frederick William<br>Actual: 15.1<br>Prediction: 9.65<br>Residual: 5.45\", \"Index: Svensson, Mr. Olof<br>Actual: 7.8<br>Prediction: 8.75<br>Residual: -0.96\", \"Index: O'Sullivan, Miss. Bridget Mary<br>Actual: 7.63<br>Prediction: 8.9<br>Residual: -1.27\", \"Index: Laitinen, Miss. Kristina Sofia<br>Actual: 9.59<br>Prediction: 8.89<br>Residual: 0.7\", \"Index: Penasco y Castellana, Mr. Victor de Satode<br>Actual: 108.9<br>Prediction: 79.23<br>Residual: 29.67\", \"Index: Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Actual: 26.55<br>Prediction: 42.89<br>Residual: -16.34\", \"Index: Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Actual: 26.0<br>Prediction: 24.59<br>Residual: 1.41\", \"Index: Kassem, Mr. Fared<br>Actual: 7.23<br>Prediction: 8.9<br>Residual: -1.67\", \"Index: Cacic, Miss. Marija<br>Actual: 8.66<br>Prediction: 8.94<br>Residual: -0.28\", \"Index: Hart, Miss. Eva Miriam<br>Actual: 26.25<br>Prediction: 29.02<br>Residual: -2.77\", \"Index: Butt, Major. Archibald Willingham<br>Actual: 26.55<br>Prediction: 44.81<br>Residual: -18.26\", \"Index: Beane, Mr. Edward<br>Actual: 26.0<br>Prediction: 24.75<br>Residual: 1.25\", \"Index: Goldsmith, Mr. Frank John<br>Actual: 20.52<br>Prediction: 18.0<br>Residual: 2.53\", \"Index: Ohman, Miss. Velin<br>Actual: 7.78<br>Prediction: 10.69<br>Residual: -2.91\", \"Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Actual: 79.65<br>Prediction: 96.19<br>Residual: -16.54\", \"Index: Morrow, Mr. Thomas Rowan<br>Actual: 7.75<br>Prediction: 8.9<br>Residual: -1.15\", \"Index: Harris, Mr. George<br>Actual: 10.5<br>Prediction: 15.12<br>Residual: -4.62\", \"Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Actual: 51.48<br>Prediction: 93.26<br>Residual: -41.78\", \"Index: Patchett, Mr. George<br>Actual: 14.5<br>Prediction: 8.75<br>Residual: 5.75\", \"Index: Ross, Mr. John Hugo<br>Actual: 40.12<br>Prediction: 99.13<br>Residual: -59.01\", \"Index: Murdlin, Mr. Joseph<br>Actual: 8.05<br>Prediction: 9.65<br>Residual: -1.6\", \"Index: Bourke, Miss. Mary<br>Actual: 7.75<br>Prediction: 18.34<br>Residual: -10.59\", \"Index: Boulos, Mr. Hanna<br>Actual: 7.22<br>Prediction: 8.9<br>Residual: -1.68\", \"Index: Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Actual: 56.93<br>Prediction: 81.19<br>Residual: -24.26\", \"Index: Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Actual: 26.55<br>Prediction: 128.8<br>Residual: -102.25\", \"Index: Lindell, Mr. Edvard Bengtsson<br>Actual: 15.55<br>Prediction: 11.89<br>Residual: 3.66\", \"Index: Daniel, Mr. Robert Williams<br>Actual: 30.5<br>Prediction: 39.42<br>Residual: -8.92\", \"Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Actual: 41.58<br>Prediction: 30.4<br>Residual: 11.18\", \"Index: Shutes, Miss. Elizabeth W<br>Actual: 153.46<br>Prediction: 89.95<br>Residual: 63.51\", \"Index: Jardin, Mr. Jose Neto<br>Actual: 7.05<br>Prediction: 9.65<br>Residual: -2.6\", \"Index: Horgan, Mr. John<br>Actual: 7.75<br>Prediction: 8.9<br>Residual: -1.15\", \"Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Actual: 16.1<br>Prediction: 12.02<br>Residual: 4.08\", \"Index: Yasbeck, Mr. Antoni<br>Actual: 14.45<br>Prediction: 11.92<br>Residual: 2.53\", \"Index: Bostandyeff, Mr. Guentcho<br>Actual: 7.9<br>Prediction: 9.35<br>Residual: -1.45\", \"Index: Lundahl, Mr. Johan Svensson<br>Actual: 7.05<br>Prediction: 8.89<br>Residual: -1.83\", \"Index: Stahelin-Maeglin, Dr. Max<br>Actual: 30.5<br>Prediction: 154.37<br>Residual: -123.87\", \"Index: Willey, Mr. Edward<br>Actual: 7.55<br>Prediction: 9.65<br>Residual: -2.1\", \"Index: Stanley, Miss. Amy Zillah Elsie<br>Actual: 7.55<br>Prediction: 10.69<br>Residual: -3.14\", \"Index: Hegarty, Miss. Hanora \\\"Nora\\\"<br>Actual: 6.75<br>Prediction: 8.76<br>Residual: -2.01\", \"Index: Eitemiller, Mr. George Floyd<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75\", \"Index: Colley, Mr. Edward Pomeroy<br>Actual: 25.59<br>Prediction: 35.25<br>Residual: -9.66\", \"Index: Coleff, Mr. Peju<br>Actual: 7.5<br>Prediction: 8.89<br>Residual: -1.39\", \"Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Actual: 39.0<br>Prediction: 30.33<br>Residual: 8.67\", \"Index: Davidson, Mr. Thornton<br>Actual: 52.0<br>Prediction: 58.02<br>Residual: -6.02\", \"Index: Turja, Miss. Anna Sofia<br>Actual: 9.84<br>Prediction: 10.74<br>Residual: -0.9\", \"Index: Hassab, Mr. Hammad<br>Actual: 76.73<br>Prediction: 65.84<br>Residual: 10.88\", \"Index: Goodwin, Mr. Charles Edward<br>Actual: 46.9<br>Prediction: 45.35<br>Residual: 1.55\", \"Index: Panula, Mr. Jaako Arnold<br>Actual: 39.69<br>Prediction: 30.03<br>Residual: 9.66\", \"Index: Fischer, Mr. Eberhard Thelander<br>Actual: 7.8<br>Prediction: 8.81<br>Residual: -1.02\", \"Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Actual: 7.65<br>Prediction: 8.89<br>Residual: -1.24\", \"Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Actual: 227.52<br>Prediction: 92.48<br>Residual: 135.04\", \"Index: Hansen, Mr. Henrik Juul<br>Actual: 7.85<br>Prediction: 11.92<br>Residual: -4.07\", \"Index: Calderhead, Mr. Edward Pennington<br>Actual: 26.29<br>Prediction: 38.74<br>Residual: -12.45\", \"Index: Klaber, Mr. Herman<br>Actual: 26.55<br>Prediction: 56.46<br>Residual: -29.91\", \"Index: Taylor, Mr. Elmer Zebley<br>Actual: 52.0<br>Prediction: 66.53<br>Residual: -14.53\", \"Index: Larsson, Mr. August Viktor<br>Actual: 9.48<br>Prediction: 8.94<br>Residual: 0.54\", \"Index: Greenberg, Mr. Samuel<br>Actual: 13.0<br>Prediction: 14.29<br>Residual: -1.29\", \"Index: Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Actual: 10.5<br>Prediction: 13.94<br>Residual: -3.44\", \"Index: McEvoy, Mr. Michael<br>Actual: 15.5<br>Prediction: 8.9<br>Residual: 6.6\", \"Index: Johnson, Mr. Malkolm Joackim<br>Actual: 7.78<br>Prediction: 8.93<br>Residual: -1.16\", \"Index: Gillespie, Mr. William Henry<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97\", \"Index: Allen, Miss. Elisabeth Walton<br>Actual: 211.34<br>Prediction: 77.57<br>Residual: 133.77\", \"Index: Berriman, Mr. William John<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75\", \"Index: Troupiansky, Mr. Moses Aaron<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75\", \"Index: Williams, Mr. Leslie<br>Actual: 16.1<br>Prediction: 9.03<br>Residual: 7.07\", \"Index: Ivanoff, Mr. Kanio<br>Actual: 7.9<br>Prediction: 9.65<br>Residual: -1.76\", \"Index: McNamee, Mr. Neal<br>Actual: 16.1<br>Prediction: 11.87<br>Residual: 4.23\", \"Index: Connaghton, Mr. Michael<br>Actual: 7.75<br>Prediction: 8.89<br>Residual: -1.14\", \"Index: Carlsson, Mr. August Sigfrid<br>Actual: 7.8<br>Prediction: 9.03<br>Residual: -1.24\", \"Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Actual: 86.5<br>Prediction: 83.69<br>Residual: 2.81\", \"Index: Eklund, Mr. Hans Linus<br>Actual: 7.78<br>Prediction: 8.85<br>Residual: -1.08\", \"Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Actual: 77.96<br>Prediction: 71.44<br>Residual: 6.52\", \"Index: Moran, Mr. Daniel J<br>Actual: 24.15<br>Prediction: 14.1<br>Residual: 10.05\", \"Index: Lievens, Mr. Rene Aime<br>Actual: 9.5<br>Prediction: 8.75<br>Residual: 0.75\", \"Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Actual: 211.34<br>Prediction: 113.43<br>Residual: 97.91\", \"Index: Ayoub, Miss. Banoura<br>Actual: 7.23<br>Prediction: 10.56<br>Residual: -3.33\", \"Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Actual: 57.0<br>Prediction: 81.34<br>Residual: -24.34\", \"Index: Johnston, Mr. Andrew G<br>Actual: 23.45<br>Prediction: 20.21<br>Residual: 3.24\", \"Index: Ali, Mr. William<br>Actual: 7.05<br>Prediction: 8.75<br>Residual: -1.7\", \"Index: Sjoblom, Miss. Anna Sofia<br>Actual: 7.5<br>Prediction: 10.74<br>Residual: -3.25\", \"Index: Guggenheim, Mr. Benjamin<br>Actual: 79.2<br>Prediction: 114.23<br>Residual: -35.03\", \"Index: Leader, Dr. Alice (Farnham)<br>Actual: 25.93<br>Prediction: 77.64<br>Residual: -51.72\", \"Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Actual: 26.25<br>Prediction: 29.85<br>Residual: -3.6\", \"Index: Carter, Master. William Thornton II<br>Actual: 120.0<br>Prediction: 121.63<br>Residual: -1.63\", \"Index: Thomas, Master. Assad Alexander<br>Actual: 8.52<br>Prediction: 12.37<br>Residual: -3.85\", \"Index: Johansson, Mr. Karl Johan<br>Actual: 7.78<br>Prediction: 8.94<br>Residual: -1.16\", \"Index: Slemen, Mr. Richard James<br>Actual: 10.5<br>Prediction: 14.17<br>Residual: -3.67\", \"Index: Tomlin, Mr. Ernest Portage<br>Actual: 8.05<br>Prediction: 8.94<br>Residual: -0.89\", \"Index: McCormack, Mr. Thomas Joseph<br>Actual: 7.75<br>Prediction: 11.94<br>Residual: -4.19\", \"Index: Richards, Master. George Sibley<br>Actual: 18.75<br>Prediction: 28.76<br>Residual: -10.01\", \"Index: Mudd, Mr. Thomas Charles<br>Actual: 10.5<br>Prediction: 15.11<br>Residual: -4.61\", \"Index: Lemberopolous, Mr. Peter L<br>Actual: 6.44<br>Prediction: 8.84<br>Residual: -2.4\", \"Index: Sage, Mr. Douglas Bullen<br>Actual: 69.55<br>Prediction: 68.73<br>Residual: 0.82\", \"Index: Boulos, Miss. Nourelain<br>Actual: 15.25<br>Prediction: 17.81<br>Residual: -2.56\", \"Index: Aks, Mrs. Sam (Leah Rosen)<br>Actual: 9.35<br>Prediction: 11.89<br>Residual: -2.54\", \"Index: Razi, Mr. Raihed<br>Actual: 7.23<br>Prediction: 8.9<br>Residual: -1.67\", \"Index: Johnson, Master. Harold Theodor<br>Actual: 11.13<br>Prediction: 18.08<br>Residual: -6.94\", \"Index: Carlsson, Mr. Frans Olof<br>Actual: 5.0<br>Prediction: 45.3<br>Residual: -40.3\", \"Index: Gustafsson, Mr. Alfred Ossian<br>Actual: 9.85<br>Prediction: 8.75<br>Residual: 1.09\", \"Index: Montvila, Rev. 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+       "<div>                            <div id=\"53aee81a-b9e9-4e7a-9f85-18886049a501\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"53aee81a-b9e9-4e7a-9f85-18886049a501\")) {                    Plotly.newPlot(                        \"53aee81a-b9e9-4e7a-9f85-18886049a501\",                        [{\"hoverinfo\": \"text\", \"mode\": \"markers\", \"name\": \"residuals log ratio<br>(log(y/preds))\", \"text\": [\"Index: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Observed: 71.28<br>Prediction: 111.90<br>Residual: -40.62\", \"Index: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Observed: 53.10<br>Prediction: 84.10<br>Residual: -31.00\", \"Index: Palsson, Master. Gosta Leonard<br>Observed: 21.07<br>Prediction: 24.37<br>Residual: -3.29\", \"Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Observed: 11.13<br>Prediction: 18.78<br>Residual: -7.64\", \"Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Observed: 30.07<br>Prediction: 24.13<br>Residual: 5.94\", \"Index: Saundercock, Mr. William Henry<br>Observed: 8.05<br>Prediction: 9.01<br>Residual: -0.96\", \"Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Observed: 7.85<br>Prediction: 9.29<br>Residual: -1.43\", \"Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Observed: 31.39<br>Prediction: 25.49<br>Residual: 5.90\", \"Index: Glynn, Miss. Mary Agatha<br>Observed: 7.75<br>Prediction: 11.46<br>Residual: -3.71\", \"Index: Meyer, Mr. Edgar Joseph<br>Observed: 82.17<br>Prediction: 69.22<br>Residual: 12.95\", \"Index: Kraeff, Mr. Theodor<br>Observed: 7.90<br>Prediction: 9.30<br>Residual: -1.40\", \"Index: Devaney, Miss. Margaret Delia<br>Observed: 7.88<br>Prediction: 10.96<br>Residual: -3.09\", \"Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Observed: 17.80<br>Prediction: 13.12<br>Residual: 4.68\", \"Index: Rugg, Miss. Emily<br>Observed: 10.50<br>Prediction: 14.20<br>Residual: -3.70\", \"Index: Harris, Mr. Henry Birkhardt<br>Observed: 83.47<br>Prediction: 59.72<br>Residual: 23.75\", \"Index: Skoog, Master. Harald<br>Observed: 27.90<br>Prediction: 25.98<br>Residual: 1.92\", \"Index: Kink, Mr. Vincenz<br>Observed: 8.66<br>Prediction: 18.96<br>Residual: -10.29\", \"Index: Hood, Mr. Ambrose Jr<br>Observed: 73.50<br>Prediction: 14.14<br>Residual: 59.36\", \"Index: Ilett, Miss. Bertha<br>Observed: 10.50<br>Prediction: 15.84<br>Residual: -5.34\", \"Index: Ford, Mr. William Neal<br>Observed: 34.38<br>Prediction: 23.08<br>Residual: 11.30\", \"Index: Christmann, Mr. Emil<br>Observed: 8.05<br>Prediction: 9.09<br>Residual: -1.04\", \"Index: Andreasson, Mr. Paul Edvin<br>Observed: 7.85<br>Prediction: 9.01<br>Residual: -1.15\", \"Index: Chaffee, Mr. Herbert Fuller<br>Observed: 61.17<br>Prediction: 50.89<br>Residual: 10.28\", \"Index: Petroff, Mr. Pastcho (\\\"Pentcho\\\")<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54\", \"Index: White, Mr. Richard Frasar<br>Observed: 77.29<br>Prediction: 88.47<br>Residual: -11.18\", \"Index: Rekic, Mr. Tido<br>Observed: 7.90<br>Prediction: 9.07<br>Residual: -1.17\", \"Index: Moran, Miss. Bertha<br>Observed: 24.15<br>Prediction: 14.56<br>Residual: 9.59\", \"Index: Barton, Mr. David John<br>Observed: 8.05<br>Prediction: 9.01<br>Residual: -0.96\", \"Index: Jussila, Miss. Katriina<br>Observed: 9.82<br>Prediction: 13.12<br>Residual: -3.30\", \"Index: Pekoniemi, Mr. Edvard<br>Observed: 7.92<br>Prediction: 9.01<br>Residual: -1.08\", \"Index: Turpin, Mr. William John Robert<br>Observed: 21.00<br>Prediction: 24.72<br>Residual: -3.72\", \"Index: Moore, Mr. Leonard Charles<br>Observed: 8.05<br>Prediction: 9.44<br>Residual: -1.39\", \"Index: Osen, Mr. Olaf Elon<br>Observed: 9.22<br>Prediction: 9.01<br>Residual: 0.21\", \"Index: Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Observed: 34.38<br>Prediction: 24.43<br>Residual: 9.95\", \"Index: Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Observed: 26.00<br>Prediction: 26.44<br>Residual: -0.44\", \"Index: Bateman, Rev. Robert James<br>Observed: 12.53<br>Prediction: 14.20<br>Residual: -1.68\", \"Index: Meo, Mr. Alfonzo<br>Observed: 8.05<br>Prediction: 9.07<br>Residual: -1.02\", \"Index: Cribb, Mr. John Hatfield<br>Observed: 16.10<br>Prediction: 18.64<br>Residual: -2.54\", \"Index: Chibnall, Mrs. (Edith Martha Bowerman)<br>Observed: 55.00<br>Prediction: 106.26<br>Residual: -51.26\", \"Index: Van der hoef, Mr. Wyckoff<br>Observed: 33.50<br>Prediction: 35.44<br>Residual: -1.94\", \"Index: Sivola, Mr. Antti Wilhelm<br>Observed: 7.92<br>Prediction: 9.01<br>Residual: -1.08\", \"Index: Klasen, Mr. Klas Albin<br>Observed: 7.85<br>Prediction: 19.61<br>Residual: -11.75\", \"Index: Rood, Mr. Hugh Roscoe<br>Observed: 50.00<br>Prediction: 39.90<br>Residual: 10.10\", \"Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Observed: 7.85<br>Prediction: 14.43<br>Residual: -6.58\", \"Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Observed: 27.72<br>Prediction: 135.58<br>Residual: -107.86\", \"Index: Vande Walle, Mr. Nestor Cyriel<br>Observed: 9.50<br>Prediction: 9.56<br>Residual: -0.06\", \"Index: Backstrom, Mr. Karl Alfred<br>Observed: 15.85<br>Prediction: 13.06<br>Residual: 2.79\", \"Index: Blank, Mr. Henry<br>Observed: 31.00<br>Prediction: 74.74<br>Residual: -43.74\", \"Index: Ali, Mr. Ahmed<br>Observed: 7.05<br>Prediction: 9.01<br>Residual: -1.96\", \"Index: Green, Mr. George Henry<br>Observed: 8.05<br>Prediction: 9.07<br>Residual: -1.02\", \"Index: Nenkoff, Mr. Christo<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54\", \"Index: Asplund, Miss. Lillian Gertrud<br>Observed: 31.39<br>Prediction: 27.81<br>Residual: 3.58\", \"Index: Harknett, Miss. Alice Phoebe<br>Observed: 7.55<br>Prediction: 9.44<br>Residual: -1.89\", \"Index: Hunt, Mr. George Henry<br>Observed: 12.28<br>Prediction: 14.14<br>Residual: -1.87\", \"Index: Reed, Mr. James George<br>Observed: 7.25<br>Prediction: 9.44<br>Residual: -2.19\", \"Index: Stead, Mr. William Thomas<br>Observed: 26.55<br>Prediction: 44.84<br>Residual: -18.29\", \"Index: Thorne, Mrs. Gertrude Maybelle<br>Observed: 79.20<br>Prediction: 119.07<br>Residual: -39.87\", \"Index: Parrish, Mrs. (Lutie Davis)<br>Observed: 26.00<br>Prediction: 31.56<br>Residual: -5.56\", \"Index: Smith, Mr. Thomas<br>Observed: 7.75<br>Prediction: 9.30<br>Residual: -1.55\", \"Index: Asplund, Master. Edvin Rojj Felix<br>Observed: 31.39<br>Prediction: 28.09<br>Residual: 3.30\", \"Index: Healy, Miss. Hanora \\\"Nora\\\"<br>Observed: 7.75<br>Prediction: 11.46<br>Residual: -3.71\", \"Index: Andrews, Miss. Kornelia Theodosia<br>Observed: 77.96<br>Prediction: 61.94<br>Residual: 16.02\", \"Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Observed: 20.25<br>Prediction: 19.11<br>Residual: 1.14\", \"Index: Smith, Mr. Richard William<br>Observed: 26.00<br>Prediction: 39.90<br>Residual: -13.90\", \"Index: Connolly, Miss. Kate<br>Observed: 7.75<br>Prediction: 10.96<br>Residual: -3.21\", \"Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Observed: 91.08<br>Prediction: 107.12<br>Residual: -16.04\", \"Index: Levy, Mr. Rene Jacques<br>Observed: 12.88<br>Prediction: 14.14<br>Residual: -1.27\", \"Index: Lewy, Mr. Ervin G<br>Observed: 27.72<br>Prediction: 65.42<br>Residual: -37.70\", \"Index: Williams, Mr. Howard Hugh \\\"Harry\\\"<br>Observed: 8.05<br>Prediction: 9.44<br>Residual: -1.39\", \"Index: Sage, Mr. George John Jr<br>Observed: 69.55<br>Prediction: 69.32<br>Residual: 0.23\", \"Index: Nysveen, Mr. Johan Hansen<br>Observed: 6.24<br>Prediction: 9.07<br>Residual: -2.83\", \"Index: Frauenthal, Mrs. Henry William (Clara Heinsheimer)<br>Observed: 133.65<br>Prediction: 84.92<br>Residual: 48.73\", \"Index: Denkoff, Mr. Mitto<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54\", \"Index: Burns, Miss. Elizabeth Margaret<br>Observed: 134.50<br>Prediction: 101.93<br>Residual: 32.57\", \"Index: Dimic, Mr. Jovan<br>Observed: 8.66<br>Prediction: 9.07<br>Residual: -0.41\", \"Index: del Carlo, Mr. Sebastiano<br>Observed: 27.72<br>Prediction: 24.72<br>Residual: 3.00\", \"Index: Beavan, Mr. William Thomas<br>Observed: 8.05<br>Prediction: 9.01<br>Residual: -0.96\", \"Index: Meyer, Mrs. Edgar Joseph (Leila Saks)<br>Observed: 82.17<br>Prediction: 111.31<br>Residual: -29.14\", \"Index: Widener, Mr. Harry Elkins<br>Observed: 211.50<br>Prediction: 122.54<br>Residual: 88.96\", \"Index: Gustafsson, Mr. Karl Gideon<br>Observed: 7.78<br>Prediction: 9.01<br>Residual: -1.23\", \"Index: Plotcharsky, Mr. Vasil<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54\", \"Index: Goodwin, Master. Sidney Leonard<br>Observed: 46.90<br>Prediction: 42.47<br>Residual: 4.43\", \"Index: Sadlier, Mr. Matthew<br>Observed: 7.73<br>Prediction: 9.30<br>Residual: -1.57\", \"Index: Gustafsson, Mr. Johan Birger<br>Observed: 7.92<br>Prediction: 19.24<br>Residual: -11.31\", \"Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Observed: 16.70<br>Prediction: 18.57<br>Residual: -1.87\", \"Index: Niskanen, Mr. Juha<br>Observed: 7.92<br>Prediction: 13.02<br>Residual: -5.10\", \"Index: Minahan, Miss. Daisy E<br>Observed: 90.00<br>Prediction: 97.22<br>Residual: -7.22\", \"Index: Matthews, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Charters, Mr. David<br>Observed: 7.73<br>Prediction: 9.01<br>Residual: -1.27\", \"Index: Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Observed: 26.00<br>Prediction: 14.20<br>Residual: 11.80\", \"Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Observed: 26.25<br>Prediction: 27.89<br>Residual: -1.64\", \"Index: Johannesen-Bratthammer, Mr. Bernt<br>Observed: 8.11<br>Prediction: 12.55<br>Residual: -4.43\", \"Index: Peuchen, Major. Arthur Godfrey<br>Observed: 30.50<br>Prediction: 45.07<br>Residual: -14.57\", \"Index: Anderson, Mr. Harry<br>Observed: 26.55<br>Prediction: 39.01<br>Residual: -12.46\", \"Index: Milling, Mr. Jacob Christian<br>Observed: 13.00<br>Prediction: 14.20<br>Residual: -1.20\", \"Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Observed: 27.75<br>Prediction: 29.99<br>Residual: -2.24\", \"Index: Karlsson, Mr. Nils August<br>Observed: 7.52<br>Prediction: 9.01<br>Residual: -1.49\", \"Index: Frost, Mr. Anthony Wood \\\"Archie\\\"<br>Observed: 0.00<br>Prediction: 13.26<br>Residual: -13.26\", \"Index: Bishop, Mr. Dickinson H<br>Observed: 91.08<br>Prediction: 146.18<br>Residual: -55.10\", \"Index: Windelov, Mr. Einar<br>Observed: 7.25<br>Prediction: 9.01<br>Residual: -1.76\", \"Index: Shellard, Mr. Frederick William<br>Observed: 15.10<br>Prediction: 9.44<br>Residual: 5.66\", \"Index: Svensson, Mr. Olof<br>Observed: 7.80<br>Prediction: 9.01<br>Residual: -1.21\", \"Index: O'Sullivan, Miss. Bridget Mary<br>Observed: 7.63<br>Prediction: 9.30<br>Residual: -1.67\", \"Index: Laitinen, Miss. Kristina Sofia<br>Observed: 9.59<br>Prediction: 9.07<br>Residual: 0.52\", \"Index: Penasco y Castellana, Mr. Victor de Satode<br>Observed: 108.90<br>Prediction: 77.01<br>Residual: 31.89\", \"Index: Bradley, Mr. George (\\\"George Arthur Brayton\\\")<br>Observed: 26.55<br>Prediction: 46.34<br>Residual: -19.79\", \"Index: Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Observed: 26.00<br>Prediction: 24.73<br>Residual: 1.27\", \"Index: Kassem, Mr. Fared<br>Observed: 7.23<br>Prediction: 9.30<br>Residual: -2.07\", \"Index: Cacic, Miss. Marija<br>Observed: 8.66<br>Prediction: 9.09<br>Residual: -0.43\", \"Index: Hart, Miss. Eva Miriam<br>Observed: 26.25<br>Prediction: 25.60<br>Residual: 0.65\", \"Index: Butt, Major. Archibald Willingham<br>Observed: 26.55<br>Prediction: 35.44<br>Residual: -8.89\", \"Index: Beane, Mr. Edward<br>Observed: 26.00<br>Prediction: 25.23<br>Residual: 0.77\", \"Index: Goldsmith, Mr. Frank John<br>Observed: 20.52<br>Prediction: 19.61<br>Residual: 0.92\", \"Index: Ohman, Miss. Velin<br>Observed: 7.78<br>Prediction: 11.60<br>Residual: -3.83\", \"Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Observed: 79.65<br>Prediction: 96.58<br>Residual: -16.93\", \"Index: Morrow, Mr. Thomas Rowan<br>Observed: 7.75<br>Prediction: 9.30<br>Residual: -1.55\", \"Index: Harris, Mr. George<br>Observed: 10.50<br>Prediction: 15.21<br>Residual: -4.71\", \"Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Observed: 51.48<br>Prediction: 107.98<br>Residual: -56.50\", \"Index: Patchett, Mr. George<br>Observed: 14.50<br>Prediction: 9.01<br>Residual: 5.49\", \"Index: Ross, Mr. John Hugo<br>Observed: 40.12<br>Prediction: 82.43<br>Residual: -42.30\", \"Index: Murdlin, Mr. Joseph<br>Observed: 8.05<br>Prediction: 9.44<br>Residual: -1.39\", \"Index: Bourke, Miss. Mary<br>Observed: 7.75<br>Prediction: 19.99<br>Residual: -12.24\", \"Index: Boulos, Mr. Hanna<br>Observed: 7.22<br>Prediction: 9.30<br>Residual: -2.07\", \"Index: Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Observed: 56.93<br>Prediction: 74.41<br>Residual: -17.48\", \"Index: Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Observed: 26.55<br>Prediction: 132.87<br>Residual: -106.32\", \"Index: Lindell, Mr. Edvard Bengtsson<br>Observed: 15.55<br>Prediction: 13.06<br>Residual: 2.49\", \"Index: Daniel, Mr. Robert Williams<br>Observed: 30.50<br>Prediction: 44.05<br>Residual: -13.55\", \"Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Observed: 41.58<br>Prediction: 30.66<br>Residual: 10.92\", \"Index: Shutes, Miss. Elizabeth W<br>Observed: 153.46<br>Prediction: 78.64<br>Residual: 74.82\", \"Index: Jardin, Mr. Jose Neto<br>Observed: 7.05<br>Prediction: 9.44<br>Residual: -2.39\", \"Index: Horgan, Mr. John<br>Observed: 7.75<br>Prediction: 9.30<br>Residual: -1.55\", \"Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Observed: 16.10<br>Prediction: 13.12<br>Residual: 2.98\", \"Index: Yasbeck, Mr. Antoni<br>Observed: 14.45<br>Prediction: 13.12<br>Residual: 1.33\", \"Index: Bostandyeff, Mr. Guentcho<br>Observed: 7.90<br>Prediction: 9.13<br>Residual: -1.23\", \"Index: Lundahl, Mr. Johan Svensson<br>Observed: 7.05<br>Prediction: 9.07<br>Residual: -2.01\", \"Index: Stahelin-Maeglin, Dr. Max<br>Observed: 30.50<br>Prediction: 167.14<br>Residual: -136.64\", \"Index: Willey, Mr. Edward<br>Observed: 7.55<br>Prediction: 9.44<br>Residual: -1.89\", \"Index: Stanley, Miss. Amy Zillah Elsie<br>Observed: 7.55<br>Prediction: 11.60<br>Residual: -4.05\", \"Index: Hegarty, Miss. Hanora \\\"Nora\\\"<br>Observed: 6.75<br>Prediction: 9.01<br>Residual: -2.26\", \"Index: Eitemiller, Mr. George Floyd<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Colley, Mr. Edward Pomeroy<br>Observed: 25.59<br>Prediction: 36.25<br>Residual: -10.66\", \"Index: Coleff, Mr. Peju<br>Observed: 7.50<br>Prediction: 9.07<br>Residual: -1.57\", \"Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Observed: 39.00<br>Prediction: 26.92<br>Residual: 12.08\", \"Index: Davidson, Mr. Thornton<br>Observed: 52.00<br>Prediction: 46.49<br>Residual: 5.51\", \"Index: Turja, Miss. Anna Sofia<br>Observed: 9.84<br>Prediction: 11.60<br>Residual: -1.76\", \"Index: Hassab, Mr. Hammad<br>Observed: 76.73<br>Prediction: 61.45<br>Residual: 15.28\", \"Index: Goodwin, Mr. Charles Edward<br>Observed: 46.90<br>Prediction: 42.47<br>Residual: 4.43\", \"Index: Panula, Mr. Jaako Arnold<br>Observed: 39.69<br>Prediction: 27.31<br>Residual: 12.38\", \"Index: Fischer, Mr. Eberhard Thelander<br>Observed: 7.80<br>Prediction: 9.01<br>Residual: -1.21\", \"Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Observed: 7.65<br>Prediction: 9.07<br>Residual: -1.42\", \"Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Observed: 227.53<br>Prediction: 90.87<br>Residual: 136.65\", \"Index: Hansen, Mr. Henrik Juul<br>Observed: 7.85<br>Prediction: 13.12<br>Residual: -5.27\", \"Index: Calderhead, Mr. Edward Pennington<br>Observed: 26.29<br>Prediction: 39.01<br>Residual: -12.72\", \"Index: Klaber, Mr. Herman<br>Observed: 26.55<br>Prediction: 58.88<br>Residual: -32.33\", \"Index: Taylor, Mr. Elmer Zebley<br>Observed: 52.00<br>Prediction: 59.95<br>Residual: -7.95\", \"Index: Larsson, Mr. August Viktor<br>Observed: 9.48<br>Prediction: 9.09<br>Residual: 0.39\", \"Index: Greenberg, Mr. Samuel<br>Observed: 13.00<br>Prediction: 14.20<br>Residual: -1.20\", \"Index: Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Observed: 10.50<br>Prediction: 14.20<br>Residual: -3.70\", \"Index: McEvoy, Mr. Michael<br>Observed: 15.50<br>Prediction: 9.30<br>Residual: 6.20\", \"Index: Johnson, Mr. Malkolm Joackim<br>Observed: 7.78<br>Prediction: 9.16<br>Residual: -1.38\", \"Index: Gillespie, Mr. William Henry<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Allen, Miss. Elisabeth Walton<br>Observed: 211.34<br>Prediction: 77.13<br>Residual: 134.21\", \"Index: Berriman, Mr. William John<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Troupiansky, Mr. Moses Aaron<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Williams, Mr. Leslie<br>Observed: 16.10<br>Prediction: 9.56<br>Residual: 6.54\", \"Index: Ivanoff, Mr. Kanio<br>Observed: 7.90<br>Prediction: 9.44<br>Residual: -1.54\", \"Index: McNamee, Mr. Neal<br>Observed: 16.10<br>Prediction: 13.12<br>Residual: 2.98\", \"Index: Connaghton, Mr. Michael<br>Observed: 7.75<br>Prediction: 9.09<br>Residual: -1.34\", \"Index: Carlsson, Mr. August Sigfrid<br>Observed: 7.80<br>Prediction: 9.56<br>Residual: -1.76\", \"Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Observed: 86.50<br>Prediction: 76.42<br>Residual: 10.08\", \"Index: Eklund, Mr. Hans Linus<br>Observed: 7.78<br>Prediction: 9.01<br>Residual: -1.23\", \"Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Observed: 77.96<br>Prediction: 61.93<br>Residual: 16.03\", \"Index: Moran, Mr. Daniel J<br>Observed: 24.15<br>Prediction: 13.77<br>Residual: 10.38\", \"Index: Lievens, Mr. Rene Aime<br>Observed: 9.50<br>Prediction: 9.01<br>Residual: 0.49\", \"Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Observed: 211.34<br>Prediction: 104.14<br>Residual: 107.20\", \"Index: Ayoub, Miss. Banoura<br>Observed: 7.23<br>Prediction: 11.14<br>Residual: -3.91\", \"Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Observed: 57.00<br>Prediction: 76.64<br>Residual: -19.64\", \"Index: Johnston, Mr. Andrew G<br>Observed: 23.45<br>Prediction: 22.47<br>Residual: 0.98\", \"Index: Ali, Mr. William<br>Observed: 7.05<br>Prediction: 9.01<br>Residual: -1.96\", \"Index: Sjoblom, Miss. Anna Sofia<br>Observed: 7.50<br>Prediction: 11.60<br>Residual: -4.11\", \"Index: Guggenheim, Mr. Benjamin<br>Observed: 79.20<br>Prediction: 120.52<br>Residual: -41.32\", \"Index: Leader, Dr. Alice (Farnham)<br>Observed: 25.93<br>Prediction: 60.75<br>Residual: -34.82\", \"Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Observed: 26.25<br>Prediction: 26.92<br>Residual: -0.67\", \"Index: Carter, Master. William Thornton II<br>Observed: 120.00<br>Prediction: 151.12<br>Residual: -31.12\", \"Index: Thomas, Master. Assad Alexander<br>Observed: 8.52<br>Prediction: 17.56<br>Residual: -9.04\", \"Index: Johansson, Mr. Karl Johan<br>Observed: 7.78<br>Prediction: 9.09<br>Residual: -1.32\", \"Index: Slemen, Mr. Richard James<br>Observed: 10.50<br>Prediction: 14.14<br>Residual: -3.64\", \"Index: Tomlin, Mr. Ernest Portage<br>Observed: 8.05<br>Prediction: 9.09<br>Residual: -1.04\", \"Index: McCormack, Mr. Thomas Joseph<br>Observed: 7.75<br>Prediction: 11.77<br>Residual: -4.02\", \"Index: Richards, Master. George Sibley<br>Observed: 18.75<br>Prediction: 26.93<br>Residual: -8.18\", \"Index: Mudd, Mr. Thomas Charles<br>Observed: 10.50<br>Prediction: 15.78<br>Residual: -5.28\", \"Index: Lemberopolous, Mr. Peter L<br>Observed: 6.44<br>Prediction: 9.07<br>Residual: -2.63\", \"Index: Sage, Mr. Douglas Bullen<br>Observed: 69.55<br>Prediction: 69.32<br>Residual: 0.23\", \"Index: Boulos, Miss. Nourelain<br>Observed: 15.25<br>Prediction: 19.61<br>Residual: -4.36\", \"Index: Aks, Mrs. Sam (Leah Rosen)<br>Observed: 9.35<br>Prediction: 17.75<br>Residual: -8.40\", \"Index: Razi, Mr. Raihed<br>Observed: 7.23<br>Prediction: 9.30<br>Residual: -2.07\", \"Index: Johnson, Master. Harold Theodor<br>Observed: 11.13<br>Prediction: 19.11<br>Residual: -7.98\", \"Index: Carlsson, Mr. Frans Olof<br>Observed: 5.00<br>Prediction: 36.55<br>Residual: -31.55\", \"Index: Gustafsson, Mr. Alfred Ossian<br>Observed: 9.85<br>Prediction: 9.01<br>Residual: 0.84\", \"Index: Montvila, Rev. Juozas<br>Observed: 13.00<br>Prediction: 14.14<br>Residual: -1.14\"], \"type\": \"scattergl\", \"x\": [71.2833, 53.1, 21.075, 11.1333, 30.0708, 8.05, 7.8542, 31.3875, 7.75, 82.1708, 7.8958, 7.8792, 17.8, 10.5, 83.475, 27.9, 8.6625, 73.5, 10.5, 34.375, 8.05, 7.8542, 61.175, 7.8958, 77.2875, 7.8958, 24.15, 8.05, 9.825, 7.925, 21.0, 8.05, 9.2167, 34.375, 26.0, 12.525, 8.05, 16.1, 55.0, 33.5, 7.925, 7.8542, 50.0, 7.8542, 27.7208, 9.5, 15.85, 31.0, 7.05, 8.05, 7.8958, 31.3875, 7.55, 12.275, 7.25, 26.55, 79.2, 26.0, 7.75, 31.3875, 7.75, 77.9583, 20.25, 26.0, 7.75, 91.0792, 12.875, 27.7208, 8.05, 69.55, 6.2375, 133.65, 7.8958, 134.5, 8.6625, 27.7208, 8.05, 82.1708, 211.5, 7.775, 7.8958, 46.9, 7.7292, 7.925, 16.7, 7.925, 90.0, 13.0, 7.7333, 26.0, 26.25, 8.1125, 30.5, 26.55, 13.0, 27.75, 7.5208, 0.0, 91.0792, 7.25, 15.1, 7.7958, 7.6292, 9.5875, 108.9, 26.55, 26.0, 7.2292, 8.6625, 26.25, 26.55, 26.0, 20.525, 7.775, 79.65, 7.75, 10.5, 51.4792, 14.5, 40.125, 8.05, 7.75, 7.225, 56.9292, 26.55, 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        "                            \n",
-       "var gd = document.getElementById('043ee400-6df0-4944-b10e-686d8e99e845');\n",
+       "var gd = document.getElementById('53aee81a-b9e9-4e7a-9f85-18886049a501');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -122910,11 +84451,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 79,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:47:48.813482Z",
-     "start_time": "2020-10-12T08:47:48.797935Z"
+     "end_time": "2021-01-20T16:04:22.196679Z",
+     "start_time": "2021-01-20T16:04:22.179131Z"
     }
    },
    "outputs": [
@@ -122930,165 +84471,165 @@
          "mode": "markers",
          "name": "residuals (y-preds)",
          "text": [
-          "Index: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Actual: 71.28<br>Prediction: 115.74<br>Residual: -44.46",
-          "Index: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Actual: 53.1<br>Prediction: 85.71<br>Residual: -32.61",
-          "Index: Palsson, Master. Gosta Leonard<br>Actual: 21.08<br>Prediction: 27.59<br>Residual: -6.51",
-          "Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Actual: 11.13<br>Prediction: 18.0<br>Residual: -6.87",
-          "Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Actual: 30.07<br>Prediction: 22.78<br>Residual: 7.29",
-          "Index: Saundercock, Mr. William Henry<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7",
-          "Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Actual: 7.85<br>Prediction: 9.69<br>Residual: -1.83",
-          "Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Actual: 31.39<br>Prediction: 28.86<br>Residual: 2.53",
-          "Index: Meyer, Mr. Edgar Joseph<br>Actual: 82.17<br>Prediction: 75.17<br>Residual: 7.0",
-          "Index: Devaney, Miss. Margaret Delia<br>Actual: 7.88<br>Prediction: 10.34<br>Residual: -2.46",
-          "Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Actual: 17.8<br>Prediction: 11.97<br>Residual: 5.83",
-          "Index: Rugg, Miss. Emily<br>Actual: 10.5<br>Prediction: 13.72<br>Residual: -3.22",
-          "Index: Harris, Mr. Henry Birkhardt<br>Actual: 83.48<br>Prediction: 67.48<br>Residual: 16.0",
-          "Index: Skoog, Master. Harald<br>Actual: 27.9<br>Prediction: 30.03<br>Residual: -2.13",
-          "Index: Kink, Mr. Vincenz<br>Actual: 8.66<br>Prediction: 18.66<br>Residual: -10.0",
-          "Index: Hood, Mr. Ambrose Jr<br>Actual: 73.5<br>Prediction: 13.75<br>Residual: 59.75",
-          "Index: Ilett, Miss. Bertha<br>Actual: 10.5<br>Prediction: 14.94<br>Residual: -4.44",
-          "Index: Ford, Mr. William Neal<br>Actual: 34.38<br>Prediction: 27.46<br>Residual: 6.91",
-          "Index: Christmann, Mr. Emil<br>Actual: 8.05<br>Prediction: 8.94<br>Residual: -0.89",
-          "Index: Andreasson, Mr. Paul Edvin<br>Actual: 7.85<br>Prediction: 8.75<br>Residual: -0.9",
-          "Index: Chaffee, Mr. Herbert Fuller<br>Actual: 61.18<br>Prediction: 58.4<br>Residual: 2.78",
-          "Index: White, Mr. Richard Frasar<br>Actual: 77.29<br>Prediction: 84.89<br>Residual: -7.6",
-          "Index: Rekic, Mr. Tido<br>Actual: 7.9<br>Prediction: 8.89<br>Residual: -0.99",
-          "Index: Barton, Mr. David John<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7",
-          "Index: Jussila, Miss. Katriina<br>Actual: 9.82<br>Prediction: 11.97<br>Residual: -2.15",
-          "Index: Pekoniemi, Mr. Edvard<br>Actual: 7.92<br>Prediction: 8.75<br>Residual: -0.83",
-          "Index: Turpin, Mr. William John Robert<br>Actual: 21.0<br>Prediction: 24.75<br>Residual: -3.75",
-          "Index: Osen, Mr. Olaf Elon<br>Actual: 9.22<br>Prediction: 8.85<br>Residual: 0.36",
-          "Index: Ford, Miss. Robina Maggie \"Ruby\"<br>Actual: 34.38<br>Prediction: 27.59<br>Residual: 6.79",
-          "Index: Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Actual: 26.0<br>Prediction: 30.67<br>Residual: -4.67",
-          "Index: Bateman, Rev. Robert James<br>Actual: 12.52<br>Prediction: 14.29<br>Residual: -1.77",
-          "Index: Meo, Mr. Alfonzo<br>Actual: 8.05<br>Prediction: 8.89<br>Residual: -0.84",
-          "Index: Cribb, Mr. John Hatfield<br>Actual: 16.1<br>Prediction: 11.93<br>Residual: 4.17",
-          "Index: Van der hoef, Mr. Wyckoff<br>Actual: 33.5<br>Prediction: 40.87<br>Residual: -7.37",
-          "Index: Sivola, Mr. Antti Wilhelm<br>Actual: 7.92<br>Prediction: 8.75<br>Residual: -0.83",
-          "Index: Klasen, Mr. Klas Albin<br>Actual: 7.85<br>Prediction: 18.0<br>Residual: -10.14",
-          "Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Actual: 7.85<br>Prediction: 11.9<br>Residual: -4.04",
-          "Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Actual: 27.72<br>Prediction: 134.65<br>Residual: -106.93",
-          "Index: Vande Walle, Mr. Nestor Cyriel<br>Actual: 9.5<br>Prediction: 9.03<br>Residual: 0.47",
-          "Index: Backstrom, Mr. Karl Alfred<br>Actual: 15.85<br>Prediction: 11.89<br>Residual: 3.96",
-          "Index: Blank, Mr. Henry<br>Actual: 31.0<br>Prediction: 82.07<br>Residual: -51.07",
-          "Index: Ali, Mr. Ahmed<br>Actual: 7.05<br>Prediction: 8.75<br>Residual: -1.7",
-          "Index: Green, Mr. George Henry<br>Actual: 8.05<br>Prediction: 8.89<br>Residual: -0.84",
-          "Index: Asplund, Miss. Lillian Gertrud<br>Actual: 31.39<br>Prediction: 29.14<br>Residual: 2.25",
-          "Index: Hunt, Mr. George Henry<br>Actual: 12.28<br>Prediction: 13.97<br>Residual: -1.7",
-          "Index: Stead, Mr. William Thomas<br>Actual: 26.55<br>Prediction: 43.47<br>Residual: -16.92",
-          "Index: Parrish, Mrs. (Lutie Davis)<br>Actual: 26.0<br>Prediction: 24.6<br>Residual: 1.4",
-          "Index: Asplund, Master. Edvin Rojj Felix<br>Actual: 31.39<br>Prediction: 29.14<br>Residual: 2.25",
-          "Index: Andrews, Miss. Kornelia Theodosia<br>Actual: 77.96<br>Prediction: 71.44<br>Residual: 6.52",
-          "Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Actual: 20.25<br>Prediction: 18.0<br>Residual: 2.25",
-          "Index: Connolly, Miss. Kate<br>Actual: 7.75<br>Prediction: 10.34<br>Residual: -2.59",
-          "Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Actual: 91.08<br>Prediction: 110.98<br>Residual: -19.9",
-          "Index: Levy, Mr. Rene Jacques<br>Actual: 12.88<br>Prediction: 14.17<br>Residual: -1.3",
-          "Index: Nysveen, Mr. Johan Hansen<br>Actual: 6.24<br>Prediction: 8.89<br>Residual: -2.65",
-          "Index: Burns, Miss. Elizabeth Margaret<br>Actual: 134.5<br>Prediction: 112.92<br>Residual: 21.58",
-          "Index: Dimic, Mr. Jovan<br>Actual: 8.66<br>Prediction: 8.89<br>Residual: -0.23",
-          "Index: del Carlo, Mr. Sebastiano<br>Actual: 27.72<br>Prediction: 24.41<br>Residual: 3.31",
-          "Index: Beavan, Mr. William Thomas<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7",
-          "Index: Widener, Mr. Harry Elkins<br>Actual: 211.5<br>Prediction: 105.42<br>Residual: 106.08",
-          "Index: Gustafsson, Mr. Karl Gideon<br>Actual: 7.78<br>Prediction: 8.75<br>Residual: -0.98",
-          "Index: Goodwin, Master. Sidney Leonard<br>Actual: 46.9<br>Prediction: 45.35<br>Residual: 1.55",
-          "Index: Gustafsson, Mr. Johan Birger<br>Actual: 7.92<br>Prediction: 18.66<br>Residual: -10.74",
-          "Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Actual: 16.7<br>Prediction: 18.0<br>Residual: -1.3",
-          "Index: Niskanen, Mr. Juha<br>Actual: 7.92<br>Prediction: 14.11<br>Residual: -6.18",
-          "Index: Minahan, Miss. Daisy E<br>Actual: 90.0<br>Prediction: 92.35<br>Residual: -2.35",
-          "Index: Matthews, Mr. William John<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97",
-          "Index: Charters, Mr. David<br>Actual: 7.73<br>Prediction: 8.7<br>Residual: -0.97",
-          "Index: Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Actual: 26.0<br>Prediction: 13.72<br>Residual: 12.28",
-          "Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Actual: 26.25<br>Prediction: 30.6<br>Residual: -4.35",
-          "Index: Peuchen, Major. Arthur Godfrey<br>Actual: 30.5<br>Prediction: 45.79<br>Residual: -15.29",
-          "Index: Anderson, Mr. Harry<br>Actual: 26.55<br>Prediction: 38.74<br>Residual: -12.19",
-          "Index: Milling, Mr. Jacob Christian<br>Actual: 13.0<br>Prediction: 14.29<br>Residual: -1.29",
-          "Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Actual: 27.75<br>Prediction: 31.37<br>Residual: -3.62",
-          "Index: Karlsson, Mr. Nils August<br>Actual: 7.52<br>Prediction: 8.75<br>Residual: -1.23",
-          "Index: Bishop, Mr. Dickinson H<br>Actual: 91.08<br>Prediction: 147.49<br>Residual: -56.41",
-          "Index: Windelov, Mr. Einar<br>Actual: 7.25<br>Prediction: 8.75<br>Residual: -1.5",
-          "Index: Svensson, Mr. Olof<br>Actual: 7.8<br>Prediction: 8.75<br>Residual: -0.96",
-          "Index: Laitinen, Miss. Kristina Sofia<br>Actual: 9.59<br>Prediction: 8.89<br>Residual: 0.7",
-          "Index: Penasco y Castellana, Mr. Victor de Satode<br>Actual: 108.9<br>Prediction: 79.23<br>Residual: 29.67",
-          "Index: Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Actual: 26.0<br>Prediction: 24.59<br>Residual: 1.41",
-          "Index: Cacic, Miss. Marija<br>Actual: 8.66<br>Prediction: 8.94<br>Residual: -0.28",
-          "Index: Hart, Miss. Eva Miriam<br>Actual: 26.25<br>Prediction: 29.02<br>Residual: -2.77",
-          "Index: Butt, Major. Archibald Willingham<br>Actual: 26.55<br>Prediction: 44.81<br>Residual: -18.26",
-          "Index: Beane, Mr. Edward<br>Actual: 26.0<br>Prediction: 24.75<br>Residual: 1.25",
-          "Index: Goldsmith, Mr. Frank John<br>Actual: 20.52<br>Prediction: 18.0<br>Residual: 2.53",
-          "Index: Ohman, Miss. Velin<br>Actual: 7.78<br>Prediction: 10.69<br>Residual: -2.91",
-          "Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Actual: 79.65<br>Prediction: 96.19<br>Residual: -16.54",
-          "Index: Harris, Mr. George<br>Actual: 10.5<br>Prediction: 15.12<br>Residual: -4.62",
-          "Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Actual: 51.48<br>Prediction: 93.26<br>Residual: -41.78",
-          "Index: Patchett, Mr. George<br>Actual: 14.5<br>Prediction: 8.75<br>Residual: 5.75",
-          "Index: Ross, Mr. John Hugo<br>Actual: 40.12<br>Prediction: 99.13<br>Residual: -59.01",
-          "Index: Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Actual: 56.93<br>Prediction: 81.19<br>Residual: -24.26",
-          "Index: Homer, Mr. Harry (\"Mr E Haven\")<br>Actual: 26.55<br>Prediction: 128.8<br>Residual: -102.25",
-          "Index: Lindell, Mr. Edvard Bengtsson<br>Actual: 15.55<br>Prediction: 11.89<br>Residual: 3.66",
-          "Index: Daniel, Mr. Robert Williams<br>Actual: 30.5<br>Prediction: 39.42<br>Residual: -8.92",
-          "Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Actual: 41.58<br>Prediction: 30.4<br>Residual: 11.18",
-          "Index: Shutes, Miss. Elizabeth W<br>Actual: 153.46<br>Prediction: 89.95<br>Residual: 63.51",
-          "Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Actual: 16.1<br>Prediction: 12.02<br>Residual: 4.08",
-          "Index: Yasbeck, Mr. Antoni<br>Actual: 14.45<br>Prediction: 11.92<br>Residual: 2.53",
-          "Index: Bostandyeff, Mr. Guentcho<br>Actual: 7.9<br>Prediction: 9.35<br>Residual: -1.45",
-          "Index: Lundahl, Mr. Johan Svensson<br>Actual: 7.05<br>Prediction: 8.89<br>Residual: -1.83",
-          "Index: Stahelin-Maeglin, Dr. Max<br>Actual: 30.5<br>Prediction: 154.37<br>Residual: -123.87",
-          "Index: Stanley, Miss. Amy Zillah Elsie<br>Actual: 7.55<br>Prediction: 10.69<br>Residual: -3.14",
-          "Index: Hegarty, Miss. Hanora \"Nora\"<br>Actual: 6.75<br>Prediction: 8.76<br>Residual: -2.01",
-          "Index: Eitemiller, Mr. George Floyd<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75",
-          "Index: Colley, Mr. Edward Pomeroy<br>Actual: 25.59<br>Prediction: 35.25<br>Residual: -9.66",
-          "Index: Coleff, Mr. Peju<br>Actual: 7.5<br>Prediction: 8.89<br>Residual: -1.39",
-          "Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Actual: 39.0<br>Prediction: 30.33<br>Residual: 8.67",
-          "Index: Davidson, Mr. Thornton<br>Actual: 52.0<br>Prediction: 58.02<br>Residual: -6.02",
-          "Index: Turja, Miss. Anna Sofia<br>Actual: 9.84<br>Prediction: 10.74<br>Residual: -0.9",
-          "Index: Hassab, Mr. Hammad<br>Actual: 76.73<br>Prediction: 65.84<br>Residual: 10.88",
-          "Index: Goodwin, Mr. Charles Edward<br>Actual: 46.9<br>Prediction: 45.35<br>Residual: 1.55",
-          "Index: Panula, Mr. Jaako Arnold<br>Actual: 39.69<br>Prediction: 30.03<br>Residual: 9.66",
-          "Index: Fischer, Mr. Eberhard Thelander<br>Actual: 7.8<br>Prediction: 8.81<br>Residual: -1.02",
-          "Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Actual: 7.65<br>Prediction: 8.89<br>Residual: -1.24",
-          "Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Actual: 227.52<br>Prediction: 92.48<br>Residual: 135.04",
-          "Index: Hansen, Mr. Henrik Juul<br>Actual: 7.85<br>Prediction: 11.92<br>Residual: -4.07",
-          "Index: Calderhead, Mr. Edward Pennington<br>Actual: 26.29<br>Prediction: 38.74<br>Residual: -12.45",
-          "Index: Taylor, Mr. Elmer Zebley<br>Actual: 52.0<br>Prediction: 66.53<br>Residual: -14.53",
-          "Index: Larsson, Mr. August Viktor<br>Actual: 9.48<br>Prediction: 8.94<br>Residual: 0.54",
-          "Index: Greenberg, Mr. Samuel<br>Actual: 13.0<br>Prediction: 14.29<br>Residual: -1.29",
-          "Index: Troutt, Miss. Edwina Celia \"Winnie\"<br>Actual: 10.5<br>Prediction: 13.94<br>Residual: -3.44",
-          "Index: Johnson, Mr. Malkolm Joackim<br>Actual: 7.78<br>Prediction: 8.93<br>Residual: -1.16",
-          "Index: Gillespie, Mr. William Henry<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97",
-          "Index: Allen, Miss. Elisabeth Walton<br>Actual: 211.34<br>Prediction: 77.57<br>Residual: 133.77",
-          "Index: Berriman, Mr. William John<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75",
-          "Index: Troupiansky, Mr. Moses Aaron<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75",
-          "Index: Williams, Mr. Leslie<br>Actual: 16.1<br>Prediction: 9.03<br>Residual: 7.07",
-          "Index: McNamee, Mr. Neal<br>Actual: 16.1<br>Prediction: 11.87<br>Residual: 4.23",
-          "Index: Connaghton, Mr. Michael<br>Actual: 7.75<br>Prediction: 8.89<br>Residual: -1.14",
-          "Index: Carlsson, Mr. August Sigfrid<br>Actual: 7.8<br>Prediction: 9.03<br>Residual: -1.24",
-          "Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Actual: 86.5<br>Prediction: 83.69<br>Residual: 2.81",
-          "Index: Eklund, Mr. Hans Linus<br>Actual: 7.78<br>Prediction: 8.85<br>Residual: -1.08",
-          "Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Actual: 77.96<br>Prediction: 71.44<br>Residual: 6.52",
-          "Index: Lievens, Mr. Rene Aime<br>Actual: 9.5<br>Prediction: 8.75<br>Residual: 0.75",
-          "Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Actual: 211.34<br>Prediction: 113.43<br>Residual: 97.91",
-          "Index: Ayoub, Miss. Banoura<br>Actual: 7.23<br>Prediction: 10.56<br>Residual: -3.33",
-          "Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Actual: 57.0<br>Prediction: 81.34<br>Residual: -24.34",
-          "Index: Ali, Mr. William<br>Actual: 7.05<br>Prediction: 8.75<br>Residual: -1.7",
-          "Index: Sjoblom, Miss. Anna Sofia<br>Actual: 7.5<br>Prediction: 10.74<br>Residual: -3.25",
-          "Index: Guggenheim, Mr. Benjamin<br>Actual: 79.2<br>Prediction: 114.23<br>Residual: -35.03",
-          "Index: Leader, Dr. Alice (Farnham)<br>Actual: 25.93<br>Prediction: 77.64<br>Residual: -51.72",
-          "Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Actual: 26.25<br>Prediction: 29.85<br>Residual: -3.6",
-          "Index: Carter, Master. William Thornton II<br>Actual: 120.0<br>Prediction: 121.63<br>Residual: -1.63",
-          "Index: Thomas, Master. Assad Alexander<br>Actual: 8.52<br>Prediction: 12.37<br>Residual: -3.85",
-          "Index: Johansson, Mr. Karl Johan<br>Actual: 7.78<br>Prediction: 8.94<br>Residual: -1.16",
-          "Index: Slemen, Mr. Richard James<br>Actual: 10.5<br>Prediction: 14.17<br>Residual: -3.67",
-          "Index: Tomlin, Mr. Ernest Portage<br>Actual: 8.05<br>Prediction: 8.94<br>Residual: -0.89",
-          "Index: Richards, Master. George Sibley<br>Actual: 18.75<br>Prediction: 28.76<br>Residual: -10.01",
-          "Index: Mudd, Mr. Thomas Charles<br>Actual: 10.5<br>Prediction: 15.11<br>Residual: -4.61",
-          "Index: Lemberopolous, Mr. Peter L<br>Actual: 6.44<br>Prediction: 8.84<br>Residual: -2.4",
-          "Index: Boulos, Miss. Nourelain<br>Actual: 15.25<br>Prediction: 17.81<br>Residual: -2.56",
-          "Index: Aks, Mrs. Sam (Leah Rosen)<br>Actual: 9.35<br>Prediction: 11.89<br>Residual: -2.54",
-          "Index: Johnson, Master. Harold Theodor<br>Actual: 11.13<br>Prediction: 18.08<br>Residual: -6.94",
-          "Index: Carlsson, Mr. Frans Olof<br>Actual: 5.0<br>Prediction: 45.3<br>Residual: -40.3",
-          "Index: Gustafsson, Mr. Alfred Ossian<br>Actual: 9.85<br>Prediction: 8.75<br>Residual: 1.09",
-          "Index: Montvila, Rev. Juozas<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97"
-         ],
-         "type": "scatter",
+          "Index: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Actual: 71.28<br>Prediction: 111.90<br>Residual: -40.62",
+          "Index: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Actual: 53.10<br>Prediction: 84.10<br>Residual: -31.00",
+          "Index: Palsson, Master. Gosta Leonard<br>Actual: 21.07<br>Prediction: 24.37<br>Residual: -3.29",
+          "Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Actual: 11.13<br>Prediction: 18.78<br>Residual: -7.64",
+          "Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Actual: 30.07<br>Prediction: 24.13<br>Residual: 5.94",
+          "Index: Saundercock, Mr. William Henry<br>Actual: 8.05<br>Prediction: 9.01<br>Residual: -0.96",
+          "Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Actual: 7.85<br>Prediction: 9.29<br>Residual: -1.43",
+          "Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Actual: 31.39<br>Prediction: 25.49<br>Residual: 5.90",
+          "Index: Meyer, Mr. Edgar Joseph<br>Actual: 82.17<br>Prediction: 69.22<br>Residual: 12.95",
+          "Index: Devaney, Miss. Margaret Delia<br>Actual: 7.88<br>Prediction: 10.96<br>Residual: -3.09",
+          "Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Actual: 17.80<br>Prediction: 13.12<br>Residual: 4.68",
+          "Index: Rugg, Miss. Emily<br>Actual: 10.50<br>Prediction: 14.20<br>Residual: -3.70",
+          "Index: Harris, Mr. Henry Birkhardt<br>Actual: 83.47<br>Prediction: 59.72<br>Residual: 23.75",
+          "Index: Skoog, Master. Harald<br>Actual: 27.90<br>Prediction: 25.98<br>Residual: 1.92",
+          "Index: Kink, Mr. Vincenz<br>Actual: 8.66<br>Prediction: 18.96<br>Residual: -10.29",
+          "Index: Hood, Mr. Ambrose Jr<br>Actual: 73.50<br>Prediction: 14.14<br>Residual: 59.36",
+          "Index: Ilett, Miss. Bertha<br>Actual: 10.50<br>Prediction: 15.84<br>Residual: -5.34",
+          "Index: Ford, Mr. William Neal<br>Actual: 34.38<br>Prediction: 23.08<br>Residual: 11.30",
+          "Index: Christmann, Mr. Emil<br>Actual: 8.05<br>Prediction: 9.09<br>Residual: -1.04",
+          "Index: Andreasson, Mr. Paul Edvin<br>Actual: 7.85<br>Prediction: 9.01<br>Residual: -1.15",
+          "Index: Chaffee, Mr. Herbert Fuller<br>Actual: 61.17<br>Prediction: 50.89<br>Residual: 10.28",
+          "Index: White, Mr. Richard Frasar<br>Actual: 77.29<br>Prediction: 88.47<br>Residual: -11.18",
+          "Index: Rekic, Mr. Tido<br>Actual: 7.90<br>Prediction: 9.07<br>Residual: -1.17",
+          "Index: Barton, Mr. David John<br>Actual: 8.05<br>Prediction: 9.01<br>Residual: -0.96",
+          "Index: Jussila, Miss. Katriina<br>Actual: 9.82<br>Prediction: 13.12<br>Residual: -3.30",
+          "Index: Pekoniemi, Mr. Edvard<br>Actual: 7.92<br>Prediction: 9.01<br>Residual: -1.08",
+          "Index: Turpin, Mr. William John Robert<br>Actual: 21.00<br>Prediction: 24.72<br>Residual: -3.72",
+          "Index: Osen, Mr. Olaf Elon<br>Actual: 9.22<br>Prediction: 9.01<br>Residual: 0.21",
+          "Index: Ford, Miss. Robina Maggie \"Ruby\"<br>Actual: 34.38<br>Prediction: 24.43<br>Residual: 9.95",
+          "Index: Navratil, Mr. Michel (\"Louis M Hoffman\")<br>Actual: 26.00<br>Prediction: 26.44<br>Residual: -0.44",
+          "Index: Bateman, Rev. Robert James<br>Actual: 12.53<br>Prediction: 14.20<br>Residual: -1.68",
+          "Index: Meo, Mr. Alfonzo<br>Actual: 8.05<br>Prediction: 9.07<br>Residual: -1.02",
+          "Index: Cribb, Mr. John Hatfield<br>Actual: 16.10<br>Prediction: 18.64<br>Residual: -2.54",
+          "Index: Van der hoef, Mr. Wyckoff<br>Actual: 33.50<br>Prediction: 35.44<br>Residual: -1.94",
+          "Index: Sivola, Mr. Antti Wilhelm<br>Actual: 7.92<br>Prediction: 9.01<br>Residual: -1.08",
+          "Index: Klasen, Mr. Klas Albin<br>Actual: 7.85<br>Prediction: 19.61<br>Residual: -11.75",
+          "Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Actual: 7.85<br>Prediction: 14.43<br>Residual: -6.58",
+          "Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Actual: 27.72<br>Prediction: 135.58<br>Residual: -107.86",
+          "Index: Vande Walle, Mr. Nestor Cyriel<br>Actual: 9.50<br>Prediction: 9.56<br>Residual: -0.06",
+          "Index: Backstrom, Mr. Karl Alfred<br>Actual: 15.85<br>Prediction: 13.06<br>Residual: 2.79",
+          "Index: Blank, Mr. Henry<br>Actual: 31.00<br>Prediction: 74.74<br>Residual: -43.74",
+          "Index: Ali, Mr. Ahmed<br>Actual: 7.05<br>Prediction: 9.01<br>Residual: -1.96",
+          "Index: Green, Mr. George Henry<br>Actual: 8.05<br>Prediction: 9.07<br>Residual: -1.02",
+          "Index: Asplund, Miss. Lillian Gertrud<br>Actual: 31.39<br>Prediction: 27.81<br>Residual: 3.58",
+          "Index: Hunt, Mr. George Henry<br>Actual: 12.28<br>Prediction: 14.14<br>Residual: -1.87",
+          "Index: Stead, Mr. William Thomas<br>Actual: 26.55<br>Prediction: 44.84<br>Residual: -18.29",
+          "Index: Parrish, Mrs. (Lutie Davis)<br>Actual: 26.00<br>Prediction: 31.56<br>Residual: -5.56",
+          "Index: Asplund, Master. Edvin Rojj Felix<br>Actual: 31.39<br>Prediction: 28.09<br>Residual: 3.30",
+          "Index: Andrews, Miss. Kornelia Theodosia<br>Actual: 77.96<br>Prediction: 61.94<br>Residual: 16.02",
+          "Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Actual: 20.25<br>Prediction: 19.11<br>Residual: 1.14",
+          "Index: Connolly, Miss. Kate<br>Actual: 7.75<br>Prediction: 10.96<br>Residual: -3.21",
+          "Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Actual: 91.08<br>Prediction: 107.12<br>Residual: -16.04",
+          "Index: Levy, Mr. Rene Jacques<br>Actual: 12.88<br>Prediction: 14.14<br>Residual: -1.27",
+          "Index: Nysveen, Mr. Johan Hansen<br>Actual: 6.24<br>Prediction: 9.07<br>Residual: -2.83",
+          "Index: Burns, Miss. Elizabeth Margaret<br>Actual: 134.50<br>Prediction: 101.93<br>Residual: 32.57",
+          "Index: Dimic, Mr. Jovan<br>Actual: 8.66<br>Prediction: 9.07<br>Residual: -0.41",
+          "Index: del Carlo, Mr. Sebastiano<br>Actual: 27.72<br>Prediction: 24.72<br>Residual: 3.00",
+          "Index: Beavan, Mr. William Thomas<br>Actual: 8.05<br>Prediction: 9.01<br>Residual: -0.96",
+          "Index: Widener, Mr. Harry Elkins<br>Actual: 211.50<br>Prediction: 122.54<br>Residual: 88.96",
+          "Index: Gustafsson, Mr. Karl Gideon<br>Actual: 7.78<br>Prediction: 9.01<br>Residual: -1.23",
+          "Index: Goodwin, Master. Sidney Leonard<br>Actual: 46.90<br>Prediction: 42.47<br>Residual: 4.43",
+          "Index: Gustafsson, Mr. Johan Birger<br>Actual: 7.92<br>Prediction: 19.24<br>Residual: -11.31",
+          "Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Actual: 16.70<br>Prediction: 18.57<br>Residual: -1.87",
+          "Index: Niskanen, Mr. Juha<br>Actual: 7.92<br>Prediction: 13.02<br>Residual: -5.10",
+          "Index: Minahan, Miss. Daisy E<br>Actual: 90.00<br>Prediction: 97.22<br>Residual: -7.22",
+          "Index: Matthews, Mr. William John<br>Actual: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Charters, Mr. David<br>Actual: 7.73<br>Prediction: 9.01<br>Residual: -1.27",
+          "Index: Phillips, Miss. Kate Florence (\"Mrs Kate Louise Phillips Marshall\")<br>Actual: 26.00<br>Prediction: 14.20<br>Residual: 11.80",
+          "Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Actual: 26.25<br>Prediction: 27.89<br>Residual: -1.64",
+          "Index: Peuchen, Major. Arthur Godfrey<br>Actual: 30.50<br>Prediction: 45.07<br>Residual: -14.57",
+          "Index: Anderson, Mr. Harry<br>Actual: 26.55<br>Prediction: 39.01<br>Residual: -12.46",
+          "Index: Milling, Mr. Jacob Christian<br>Actual: 13.00<br>Prediction: 14.20<br>Residual: -1.20",
+          "Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Actual: 27.75<br>Prediction: 29.99<br>Residual: -2.24",
+          "Index: Karlsson, Mr. Nils August<br>Actual: 7.52<br>Prediction: 9.01<br>Residual: -1.49",
+          "Index: Bishop, Mr. Dickinson H<br>Actual: 91.08<br>Prediction: 146.18<br>Residual: -55.10",
+          "Index: Windelov, Mr. Einar<br>Actual: 7.25<br>Prediction: 9.01<br>Residual: -1.76",
+          "Index: Svensson, Mr. Olof<br>Actual: 7.80<br>Prediction: 9.01<br>Residual: -1.21",
+          "Index: Laitinen, Miss. Kristina Sofia<br>Actual: 9.59<br>Prediction: 9.07<br>Residual: 0.52",
+          "Index: Penasco y Castellana, Mr. Victor de Satode<br>Actual: 108.90<br>Prediction: 77.01<br>Residual: 31.89",
+          "Index: Angle, Mrs. William A (Florence \"Mary\" Agnes Hughes)<br>Actual: 26.00<br>Prediction: 24.73<br>Residual: 1.27",
+          "Index: Cacic, Miss. Marija<br>Actual: 8.66<br>Prediction: 9.09<br>Residual: -0.43",
+          "Index: Hart, Miss. Eva Miriam<br>Actual: 26.25<br>Prediction: 25.60<br>Residual: 0.65",
+          "Index: Butt, Major. Archibald Willingham<br>Actual: 26.55<br>Prediction: 35.44<br>Residual: -8.89",
+          "Index: Beane, Mr. Edward<br>Actual: 26.00<br>Prediction: 25.23<br>Residual: 0.77",
+          "Index: Goldsmith, Mr. Frank John<br>Actual: 20.52<br>Prediction: 19.61<br>Residual: 0.92",
+          "Index: Ohman, Miss. Velin<br>Actual: 7.78<br>Prediction: 11.60<br>Residual: -3.83",
+          "Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Actual: 79.65<br>Prediction: 96.58<br>Residual: -16.93",
+          "Index: Harris, Mr. George<br>Actual: 10.50<br>Prediction: 15.21<br>Residual: -4.71",
+          "Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Actual: 51.48<br>Prediction: 107.98<br>Residual: -56.50",
+          "Index: Patchett, Mr. George<br>Actual: 14.50<br>Prediction: 9.01<br>Residual: 5.49",
+          "Index: Ross, Mr. John Hugo<br>Actual: 40.12<br>Prediction: 82.43<br>Residual: -42.30",
+          "Index: Duff Gordon, Sir. Cosmo Edmund (\"Mr Morgan\")<br>Actual: 56.93<br>Prediction: 74.41<br>Residual: -17.48",
+          "Index: Homer, Mr. Harry (\"Mr E Haven\")<br>Actual: 26.55<br>Prediction: 132.87<br>Residual: -106.32",
+          "Index: Lindell, Mr. Edvard Bengtsson<br>Actual: 15.55<br>Prediction: 13.06<br>Residual: 2.49",
+          "Index: Daniel, Mr. Robert Williams<br>Actual: 30.50<br>Prediction: 44.05<br>Residual: -13.55",
+          "Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Actual: 41.58<br>Prediction: 30.66<br>Residual: 10.92",
+          "Index: Shutes, Miss. Elizabeth W<br>Actual: 153.46<br>Prediction: 78.64<br>Residual: 74.82",
+          "Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Actual: 16.10<br>Prediction: 13.12<br>Residual: 2.98",
+          "Index: Yasbeck, Mr. Antoni<br>Actual: 14.45<br>Prediction: 13.12<br>Residual: 1.33",
+          "Index: Bostandyeff, Mr. Guentcho<br>Actual: 7.90<br>Prediction: 9.13<br>Residual: -1.23",
+          "Index: Lundahl, Mr. Johan Svensson<br>Actual: 7.05<br>Prediction: 9.07<br>Residual: -2.01",
+          "Index: Stahelin-Maeglin, Dr. Max<br>Actual: 30.50<br>Prediction: 167.14<br>Residual: -136.64",
+          "Index: Stanley, Miss. Amy Zillah Elsie<br>Actual: 7.55<br>Prediction: 11.60<br>Residual: -4.05",
+          "Index: Hegarty, Miss. Hanora \"Nora\"<br>Actual: 6.75<br>Prediction: 9.01<br>Residual: -2.26",
+          "Index: Eitemiller, Mr. George Floyd<br>Actual: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Colley, Mr. Edward Pomeroy<br>Actual: 25.59<br>Prediction: 36.25<br>Residual: -10.66",
+          "Index: Coleff, Mr. Peju<br>Actual: 7.50<br>Prediction: 9.07<br>Residual: -1.57",
+          "Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Actual: 39.00<br>Prediction: 26.92<br>Residual: 12.08",
+          "Index: Davidson, Mr. Thornton<br>Actual: 52.00<br>Prediction: 46.49<br>Residual: 5.51",
+          "Index: Turja, Miss. Anna Sofia<br>Actual: 9.84<br>Prediction: 11.60<br>Residual: -1.76",
+          "Index: Hassab, Mr. Hammad<br>Actual: 76.73<br>Prediction: 61.45<br>Residual: 15.28",
+          "Index: Goodwin, Mr. Charles Edward<br>Actual: 46.90<br>Prediction: 42.47<br>Residual: 4.43",
+          "Index: Panula, Mr. Jaako Arnold<br>Actual: 39.69<br>Prediction: 27.31<br>Residual: 12.38",
+          "Index: Fischer, Mr. Eberhard Thelander<br>Actual: 7.80<br>Prediction: 9.01<br>Residual: -1.21",
+          "Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Actual: 7.65<br>Prediction: 9.07<br>Residual: -1.42",
+          "Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Actual: 227.53<br>Prediction: 90.87<br>Residual: 136.65",
+          "Index: Hansen, Mr. Henrik Juul<br>Actual: 7.85<br>Prediction: 13.12<br>Residual: -5.27",
+          "Index: Calderhead, Mr. Edward Pennington<br>Actual: 26.29<br>Prediction: 39.01<br>Residual: -12.72",
+          "Index: Taylor, Mr. Elmer Zebley<br>Actual: 52.00<br>Prediction: 59.95<br>Residual: -7.95",
+          "Index: Larsson, Mr. August Viktor<br>Actual: 9.48<br>Prediction: 9.09<br>Residual: 0.39",
+          "Index: Greenberg, Mr. Samuel<br>Actual: 13.00<br>Prediction: 14.20<br>Residual: -1.20",
+          "Index: Troutt, Miss. Edwina Celia \"Winnie\"<br>Actual: 10.50<br>Prediction: 14.20<br>Residual: -3.70",
+          "Index: Johnson, Mr. Malkolm Joackim<br>Actual: 7.78<br>Prediction: 9.16<br>Residual: -1.38",
+          "Index: Gillespie, Mr. William Henry<br>Actual: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Allen, Miss. Elisabeth Walton<br>Actual: 211.34<br>Prediction: 77.13<br>Residual: 134.21",
+          "Index: Berriman, Mr. William John<br>Actual: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Troupiansky, Mr. Moses Aaron<br>Actual: 13.00<br>Prediction: 14.14<br>Residual: -1.14",
+          "Index: Williams, Mr. Leslie<br>Actual: 16.10<br>Prediction: 9.56<br>Residual: 6.54",
+          "Index: McNamee, Mr. Neal<br>Actual: 16.10<br>Prediction: 13.12<br>Residual: 2.98",
+          "Index: Connaghton, Mr. Michael<br>Actual: 7.75<br>Prediction: 9.09<br>Residual: -1.34",
+          "Index: Carlsson, Mr. August Sigfrid<br>Actual: 7.80<br>Prediction: 9.56<br>Residual: -1.76",
+          "Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Actual: 86.50<br>Prediction: 76.42<br>Residual: 10.08",
+          "Index: Eklund, Mr. Hans Linus<br>Actual: 7.78<br>Prediction: 9.01<br>Residual: -1.23",
+          "Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Actual: 77.96<br>Prediction: 61.93<br>Residual: 16.03",
+          "Index: Lievens, Mr. Rene Aime<br>Actual: 9.50<br>Prediction: 9.01<br>Residual: 0.49",
+          "Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Actual: 211.34<br>Prediction: 104.14<br>Residual: 107.20",
+          "Index: Ayoub, Miss. Banoura<br>Actual: 7.23<br>Prediction: 11.14<br>Residual: -3.91",
+          "Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Actual: 57.00<br>Prediction: 76.64<br>Residual: -19.64",
+          "Index: Ali, Mr. William<br>Actual: 7.05<br>Prediction: 9.01<br>Residual: -1.96",
+          "Index: Sjoblom, Miss. Anna Sofia<br>Actual: 7.50<br>Prediction: 11.60<br>Residual: -4.11",
+          "Index: Guggenheim, Mr. Benjamin<br>Actual: 79.20<br>Prediction: 120.52<br>Residual: -41.32",
+          "Index: Leader, Dr. Alice (Farnham)<br>Actual: 25.93<br>Prediction: 60.75<br>Residual: -34.82",
+          "Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Actual: 26.25<br>Prediction: 26.92<br>Residual: -0.67",
+          "Index: Carter, Master. William Thornton II<br>Actual: 120.00<br>Prediction: 151.12<br>Residual: -31.12",
+          "Index: Thomas, Master. Assad Alexander<br>Actual: 8.52<br>Prediction: 17.56<br>Residual: -9.04",
+          "Index: Johansson, Mr. Karl Johan<br>Actual: 7.78<br>Prediction: 9.09<br>Residual: -1.32",
+          "Index: Slemen, Mr. Richard James<br>Actual: 10.50<br>Prediction: 14.14<br>Residual: -3.64",
+          "Index: Tomlin, Mr. Ernest Portage<br>Actual: 8.05<br>Prediction: 9.09<br>Residual: -1.04",
+          "Index: Richards, Master. George Sibley<br>Actual: 18.75<br>Prediction: 26.93<br>Residual: -8.18",
+          "Index: Mudd, Mr. Thomas Charles<br>Actual: 10.50<br>Prediction: 15.78<br>Residual: -5.28",
+          "Index: Lemberopolous, Mr. Peter L<br>Actual: 6.44<br>Prediction: 9.07<br>Residual: -2.63",
+          "Index: Boulos, Miss. Nourelain<br>Actual: 15.25<br>Prediction: 19.61<br>Residual: -4.36",
+          "Index: Aks, Mrs. Sam (Leah Rosen)<br>Actual: 9.35<br>Prediction: 17.75<br>Residual: -8.40",
+          "Index: Johnson, Master. Harold Theodor<br>Actual: 11.13<br>Prediction: 19.11<br>Residual: -7.98",
+          "Index: Carlsson, Mr. Frans Olof<br>Actual: 5.00<br>Prediction: 36.55<br>Residual: -31.55",
+          "Index: Gustafsson, Mr. Alfred Ossian<br>Actual: 9.85<br>Prediction: 9.01<br>Residual: 0.84",
+          "Index: Montvila, Rev. Juozas<br>Actual: 13.00<br>Prediction: 14.14<br>Residual: -1.14"
+         ],
+         "type": "scattergl",
          "x": [
           38,
           35,
@@ -123249,170 +84790,170 @@
           27
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          "title": {
           "text": "residuals (y-preds)"
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-       "<div>                            <div id=\"f16e232e-5034-4285-aea5-4faecd542958\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"f16e232e-5034-4285-aea5-4faecd542958\")) {                    Plotly.newPlot(                        \"f16e232e-5034-4285-aea5-4faecd542958\",                        [{\"hoverinfo\": \"text\", \"mode\": \"markers\", \"name\": \"residuals (y-preds)\", \"text\": [\"Index: Cumings, Mrs. John Bradley (Florence Briggs Thayer)<br>Actual: 71.28<br>Prediction: 115.74<br>Residual: -44.46\", \"Index: Futrelle, Mrs. Jacques Heath (Lily May Peel)<br>Actual: 53.1<br>Prediction: 85.71<br>Residual: -32.61\", \"Index: Palsson, Master. Gosta Leonard<br>Actual: 21.08<br>Prediction: 27.59<br>Residual: -6.51\", \"Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Actual: 11.13<br>Prediction: 18.0<br>Residual: -6.87\", \"Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Actual: 30.07<br>Prediction: 22.78<br>Residual: 7.29\", \"Index: Saundercock, Mr. William Henry<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7\", \"Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Actual: 7.85<br>Prediction: 9.69<br>Residual: -1.83\", \"Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Actual: 31.39<br>Prediction: 28.86<br>Residual: 2.53\", \"Index: Meyer, Mr. Edgar Joseph<br>Actual: 82.17<br>Prediction: 75.17<br>Residual: 7.0\", \"Index: Devaney, Miss. Margaret Delia<br>Actual: 7.88<br>Prediction: 10.34<br>Residual: -2.46\", \"Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Actual: 17.8<br>Prediction: 11.97<br>Residual: 5.83\", \"Index: Rugg, Miss. Emily<br>Actual: 10.5<br>Prediction: 13.72<br>Residual: -3.22\", \"Index: Harris, Mr. Henry Birkhardt<br>Actual: 83.48<br>Prediction: 67.48<br>Residual: 16.0\", \"Index: Skoog, Master. Harald<br>Actual: 27.9<br>Prediction: 30.03<br>Residual: -2.13\", \"Index: Kink, Mr. Vincenz<br>Actual: 8.66<br>Prediction: 18.66<br>Residual: -10.0\", \"Index: Hood, Mr. Ambrose Jr<br>Actual: 73.5<br>Prediction: 13.75<br>Residual: 59.75\", \"Index: Ilett, Miss. Bertha<br>Actual: 10.5<br>Prediction: 14.94<br>Residual: -4.44\", \"Index: Ford, Mr. William Neal<br>Actual: 34.38<br>Prediction: 27.46<br>Residual: 6.91\", \"Index: Christmann, Mr. Emil<br>Actual: 8.05<br>Prediction: 8.94<br>Residual: -0.89\", \"Index: Andreasson, Mr. Paul Edvin<br>Actual: 7.85<br>Prediction: 8.75<br>Residual: -0.9\", \"Index: Chaffee, Mr. Herbert Fuller<br>Actual: 61.18<br>Prediction: 58.4<br>Residual: 2.78\", \"Index: White, Mr. Richard Frasar<br>Actual: 77.29<br>Prediction: 84.89<br>Residual: -7.6\", \"Index: Rekic, Mr. Tido<br>Actual: 7.9<br>Prediction: 8.89<br>Residual: -0.99\", \"Index: Barton, Mr. David John<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7\", \"Index: Jussila, Miss. Katriina<br>Actual: 9.82<br>Prediction: 11.97<br>Residual: -2.15\", \"Index: Pekoniemi, Mr. Edvard<br>Actual: 7.92<br>Prediction: 8.75<br>Residual: -0.83\", \"Index: Turpin, Mr. William John Robert<br>Actual: 21.0<br>Prediction: 24.75<br>Residual: -3.75\", \"Index: Osen, Mr. Olaf Elon<br>Actual: 9.22<br>Prediction: 8.85<br>Residual: 0.36\", \"Index: Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Actual: 34.38<br>Prediction: 27.59<br>Residual: 6.79\", \"Index: Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Actual: 26.0<br>Prediction: 30.67<br>Residual: -4.67\", \"Index: Bateman, Rev. Robert James<br>Actual: 12.52<br>Prediction: 14.29<br>Residual: -1.77\", \"Index: Meo, Mr. Alfonzo<br>Actual: 8.05<br>Prediction: 8.89<br>Residual: -0.84\", \"Index: Cribb, Mr. John Hatfield<br>Actual: 16.1<br>Prediction: 11.93<br>Residual: 4.17\", \"Index: Van der hoef, Mr. Wyckoff<br>Actual: 33.5<br>Prediction: 40.87<br>Residual: -7.37\", \"Index: Sivola, Mr. Antti Wilhelm<br>Actual: 7.92<br>Prediction: 8.75<br>Residual: -0.83\", \"Index: Klasen, Mr. Klas Albin<br>Actual: 7.85<br>Prediction: 18.0<br>Residual: -10.14\", \"Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Actual: 7.85<br>Prediction: 11.9<br>Residual: -4.04\", \"Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Actual: 27.72<br>Prediction: 134.65<br>Residual: -106.93\", \"Index: Vande Walle, Mr. Nestor Cyriel<br>Actual: 9.5<br>Prediction: 9.03<br>Residual: 0.47\", \"Index: Backstrom, Mr. Karl Alfred<br>Actual: 15.85<br>Prediction: 11.89<br>Residual: 3.96\", \"Index: Blank, Mr. Henry<br>Actual: 31.0<br>Prediction: 82.07<br>Residual: -51.07\", \"Index: Ali, Mr. Ahmed<br>Actual: 7.05<br>Prediction: 8.75<br>Residual: -1.7\", \"Index: Green, Mr. George Henry<br>Actual: 8.05<br>Prediction: 8.89<br>Residual: -0.84\", \"Index: Asplund, Miss. Lillian Gertrud<br>Actual: 31.39<br>Prediction: 29.14<br>Residual: 2.25\", \"Index: Hunt, Mr. George Henry<br>Actual: 12.28<br>Prediction: 13.97<br>Residual: -1.7\", \"Index: Stead, Mr. William Thomas<br>Actual: 26.55<br>Prediction: 43.47<br>Residual: -16.92\", \"Index: Parrish, Mrs. (Lutie Davis)<br>Actual: 26.0<br>Prediction: 24.6<br>Residual: 1.4\", \"Index: Asplund, Master. Edvin Rojj Felix<br>Actual: 31.39<br>Prediction: 29.14<br>Residual: 2.25\", \"Index: Andrews, Miss. Kornelia Theodosia<br>Actual: 77.96<br>Prediction: 71.44<br>Residual: 6.52\", \"Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Actual: 20.25<br>Prediction: 18.0<br>Residual: 2.25\", \"Index: Connolly, Miss. Kate<br>Actual: 7.75<br>Prediction: 10.34<br>Residual: -2.59\", \"Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Actual: 91.08<br>Prediction: 110.98<br>Residual: -19.9\", \"Index: Levy, Mr. Rene Jacques<br>Actual: 12.88<br>Prediction: 14.17<br>Residual: -1.3\", \"Index: Nysveen, Mr. Johan Hansen<br>Actual: 6.24<br>Prediction: 8.89<br>Residual: -2.65\", \"Index: Burns, Miss. Elizabeth Margaret<br>Actual: 134.5<br>Prediction: 112.92<br>Residual: 21.58\", \"Index: Dimic, Mr. Jovan<br>Actual: 8.66<br>Prediction: 8.89<br>Residual: -0.23\", \"Index: del Carlo, Mr. Sebastiano<br>Actual: 27.72<br>Prediction: 24.41<br>Residual: 3.31\", \"Index: Beavan, Mr. William Thomas<br>Actual: 8.05<br>Prediction: 8.75<br>Residual: -0.7\", \"Index: Widener, Mr. Harry Elkins<br>Actual: 211.5<br>Prediction: 105.42<br>Residual: 106.08\", \"Index: Gustafsson, Mr. Karl Gideon<br>Actual: 7.78<br>Prediction: 8.75<br>Residual: -0.98\", \"Index: Goodwin, Master. Sidney Leonard<br>Actual: 46.9<br>Prediction: 45.35<br>Residual: 1.55\", \"Index: Gustafsson, Mr. Johan Birger<br>Actual: 7.92<br>Prediction: 18.66<br>Residual: -10.74\", \"Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Actual: 16.7<br>Prediction: 18.0<br>Residual: -1.3\", \"Index: Niskanen, Mr. Juha<br>Actual: 7.92<br>Prediction: 14.11<br>Residual: -6.18\", \"Index: Minahan, Miss. Daisy E<br>Actual: 90.0<br>Prediction: 92.35<br>Residual: -2.35\", \"Index: Matthews, Mr. William John<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97\", \"Index: Charters, Mr. David<br>Actual: 7.73<br>Prediction: 8.7<br>Residual: -0.97\", \"Index: Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Actual: 26.0<br>Prediction: 13.72<br>Residual: 12.28\", \"Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Actual: 26.25<br>Prediction: 30.6<br>Residual: -4.35\", \"Index: Peuchen, Major. Arthur Godfrey<br>Actual: 30.5<br>Prediction: 45.79<br>Residual: -15.29\", \"Index: Anderson, Mr. Harry<br>Actual: 26.55<br>Prediction: 38.74<br>Residual: -12.19\", \"Index: Milling, Mr. Jacob Christian<br>Actual: 13.0<br>Prediction: 14.29<br>Residual: -1.29\", \"Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Actual: 27.75<br>Prediction: 31.37<br>Residual: -3.62\", \"Index: Karlsson, Mr. Nils August<br>Actual: 7.52<br>Prediction: 8.75<br>Residual: -1.23\", \"Index: Bishop, Mr. Dickinson H<br>Actual: 91.08<br>Prediction: 147.49<br>Residual: -56.41\", \"Index: Windelov, Mr. Einar<br>Actual: 7.25<br>Prediction: 8.75<br>Residual: -1.5\", \"Index: Svensson, Mr. Olof<br>Actual: 7.8<br>Prediction: 8.75<br>Residual: -0.96\", \"Index: Laitinen, Miss. Kristina Sofia<br>Actual: 9.59<br>Prediction: 8.89<br>Residual: 0.7\", \"Index: Penasco y Castellana, Mr. Victor de Satode<br>Actual: 108.9<br>Prediction: 79.23<br>Residual: 29.67\", \"Index: Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Actual: 26.0<br>Prediction: 24.59<br>Residual: 1.41\", \"Index: Cacic, Miss. Marija<br>Actual: 8.66<br>Prediction: 8.94<br>Residual: -0.28\", \"Index: Hart, Miss. Eva Miriam<br>Actual: 26.25<br>Prediction: 29.02<br>Residual: -2.77\", \"Index: Butt, Major. Archibald Willingham<br>Actual: 26.55<br>Prediction: 44.81<br>Residual: -18.26\", \"Index: Beane, Mr. Edward<br>Actual: 26.0<br>Prediction: 24.75<br>Residual: 1.25\", \"Index: Goldsmith, Mr. Frank John<br>Actual: 20.52<br>Prediction: 18.0<br>Residual: 2.53\", \"Index: Ohman, Miss. Velin<br>Actual: 7.78<br>Prediction: 10.69<br>Residual: -2.91\", \"Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Actual: 79.65<br>Prediction: 96.19<br>Residual: -16.54\", \"Index: Harris, Mr. George<br>Actual: 10.5<br>Prediction: 15.12<br>Residual: -4.62\", \"Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Actual: 51.48<br>Prediction: 93.26<br>Residual: -41.78\", \"Index: Patchett, Mr. George<br>Actual: 14.5<br>Prediction: 8.75<br>Residual: 5.75\", \"Index: Ross, Mr. John Hugo<br>Actual: 40.12<br>Prediction: 99.13<br>Residual: -59.01\", \"Index: Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Actual: 56.93<br>Prediction: 81.19<br>Residual: -24.26\", \"Index: Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Actual: 26.55<br>Prediction: 128.8<br>Residual: -102.25\", \"Index: Lindell, Mr. Edvard Bengtsson<br>Actual: 15.55<br>Prediction: 11.89<br>Residual: 3.66\", \"Index: Daniel, Mr. Robert Williams<br>Actual: 30.5<br>Prediction: 39.42<br>Residual: -8.92\", \"Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Actual: 41.58<br>Prediction: 30.4<br>Residual: 11.18\", \"Index: Shutes, Miss. Elizabeth W<br>Actual: 153.46<br>Prediction: 89.95<br>Residual: 63.51\", \"Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Actual: 16.1<br>Prediction: 12.02<br>Residual: 4.08\", \"Index: Yasbeck, Mr. Antoni<br>Actual: 14.45<br>Prediction: 11.92<br>Residual: 2.53\", \"Index: Bostandyeff, Mr. Guentcho<br>Actual: 7.9<br>Prediction: 9.35<br>Residual: -1.45\", \"Index: Lundahl, Mr. Johan Svensson<br>Actual: 7.05<br>Prediction: 8.89<br>Residual: -1.83\", \"Index: Stahelin-Maeglin, Dr. Max<br>Actual: 30.5<br>Prediction: 154.37<br>Residual: -123.87\", \"Index: Stanley, Miss. Amy Zillah Elsie<br>Actual: 7.55<br>Prediction: 10.69<br>Residual: -3.14\", \"Index: Hegarty, Miss. Hanora \\\"Nora\\\"<br>Actual: 6.75<br>Prediction: 8.76<br>Residual: -2.01\", \"Index: Eitemiller, Mr. George Floyd<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75\", \"Index: Colley, Mr. Edward Pomeroy<br>Actual: 25.59<br>Prediction: 35.25<br>Residual: -9.66\", \"Index: Coleff, Mr. Peju<br>Actual: 7.5<br>Prediction: 8.89<br>Residual: -1.39\", \"Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Actual: 39.0<br>Prediction: 30.33<br>Residual: 8.67\", \"Index: Davidson, Mr. Thornton<br>Actual: 52.0<br>Prediction: 58.02<br>Residual: -6.02\", \"Index: Turja, Miss. Anna Sofia<br>Actual: 9.84<br>Prediction: 10.74<br>Residual: -0.9\", \"Index: Hassab, Mr. Hammad<br>Actual: 76.73<br>Prediction: 65.84<br>Residual: 10.88\", \"Index: Goodwin, Mr. Charles Edward<br>Actual: 46.9<br>Prediction: 45.35<br>Residual: 1.55\", \"Index: Panula, Mr. Jaako Arnold<br>Actual: 39.69<br>Prediction: 30.03<br>Residual: 9.66\", \"Index: Fischer, Mr. Eberhard Thelander<br>Actual: 7.8<br>Prediction: 8.81<br>Residual: -1.02\", \"Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Actual: 7.65<br>Prediction: 8.89<br>Residual: -1.24\", \"Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Actual: 227.52<br>Prediction: 92.48<br>Residual: 135.04\", \"Index: Hansen, Mr. Henrik Juul<br>Actual: 7.85<br>Prediction: 11.92<br>Residual: -4.07\", \"Index: Calderhead, Mr. Edward Pennington<br>Actual: 26.29<br>Prediction: 38.74<br>Residual: -12.45\", \"Index: Taylor, Mr. Elmer Zebley<br>Actual: 52.0<br>Prediction: 66.53<br>Residual: -14.53\", \"Index: Larsson, Mr. August Viktor<br>Actual: 9.48<br>Prediction: 8.94<br>Residual: 0.54\", \"Index: Greenberg, Mr. Samuel<br>Actual: 13.0<br>Prediction: 14.29<br>Residual: -1.29\", \"Index: Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Actual: 10.5<br>Prediction: 13.94<br>Residual: -3.44\", \"Index: Johnson, Mr. Malkolm Joackim<br>Actual: 7.78<br>Prediction: 8.93<br>Residual: -1.16\", \"Index: Gillespie, Mr. William Henry<br>Actual: 13.0<br>Prediction: 13.97<br>Residual: -0.97\", \"Index: Allen, Miss. Elisabeth Walton<br>Actual: 211.34<br>Prediction: 77.57<br>Residual: 133.77\", \"Index: Berriman, Mr. William John<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75\", \"Index: Troupiansky, Mr. Moses Aaron<br>Actual: 13.0<br>Prediction: 13.75<br>Residual: -0.75\", \"Index: Williams, Mr. Leslie<br>Actual: 16.1<br>Prediction: 9.03<br>Residual: 7.07\", \"Index: McNamee, Mr. Neal<br>Actual: 16.1<br>Prediction: 11.87<br>Residual: 4.23\", \"Index: Connaghton, Mr. Michael<br>Actual: 7.75<br>Prediction: 8.89<br>Residual: -1.14\", \"Index: Carlsson, Mr. August Sigfrid<br>Actual: 7.8<br>Prediction: 9.03<br>Residual: -1.24\", \"Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Actual: 86.5<br>Prediction: 83.69<br>Residual: 2.81\", \"Index: Eklund, Mr. Hans Linus<br>Actual: 7.78<br>Prediction: 8.85<br>Residual: -1.08\", \"Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Actual: 77.96<br>Prediction: 71.44<br>Residual: 6.52\", \"Index: Lievens, Mr. Rene Aime<br>Actual: 9.5<br>Prediction: 8.75<br>Residual: 0.75\", \"Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Actual: 211.34<br>Prediction: 113.43<br>Residual: 97.91\", \"Index: Ayoub, Miss. Banoura<br>Actual: 7.23<br>Prediction: 10.56<br>Residual: -3.33\", \"Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Actual: 57.0<br>Prediction: 81.34<br>Residual: -24.34\", \"Index: Ali, Mr. William<br>Actual: 7.05<br>Prediction: 8.75<br>Residual: -1.7\", \"Index: Sjoblom, Miss. Anna Sofia<br>Actual: 7.5<br>Prediction: 10.74<br>Residual: -3.25\", \"Index: Guggenheim, Mr. Benjamin<br>Actual: 79.2<br>Prediction: 114.23<br>Residual: -35.03\", \"Index: Leader, Dr. Alice (Farnham)<br>Actual: 25.93<br>Prediction: 77.64<br>Residual: -51.72\", \"Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Actual: 26.25<br>Prediction: 29.85<br>Residual: -3.6\", \"Index: Carter, Master. William Thornton II<br>Actual: 120.0<br>Prediction: 121.63<br>Residual: -1.63\", \"Index: Thomas, Master. Assad Alexander<br>Actual: 8.52<br>Prediction: 12.37<br>Residual: -3.85\", \"Index: Johansson, Mr. Karl Johan<br>Actual: 7.78<br>Prediction: 8.94<br>Residual: -1.16\", \"Index: Slemen, Mr. Richard James<br>Actual: 10.5<br>Prediction: 14.17<br>Residual: -3.67\", \"Index: Tomlin, Mr. Ernest Portage<br>Actual: 8.05<br>Prediction: 8.94<br>Residual: -0.89\", \"Index: Richards, Master. George Sibley<br>Actual: 18.75<br>Prediction: 28.76<br>Residual: -10.01\", \"Index: Mudd, Mr. Thomas Charles<br>Actual: 10.5<br>Prediction: 15.11<br>Residual: -4.61\", \"Index: Lemberopolous, Mr. Peter L<br>Actual: 6.44<br>Prediction: 8.84<br>Residual: -2.4\", \"Index: Boulos, Miss. Nourelain<br>Actual: 15.25<br>Prediction: 17.81<br>Residual: -2.56\", \"Index: Aks, Mrs. Sam (Leah Rosen)<br>Actual: 9.35<br>Prediction: 11.89<br>Residual: -2.54\", \"Index: Johnson, Master. Harold Theodor<br>Actual: 11.13<br>Prediction: 18.08<br>Residual: -6.94\", \"Index: Carlsson, Mr. Frans Olof<br>Actual: 5.0<br>Prediction: 45.3<br>Residual: -40.3\", \"Index: Gustafsson, Mr. Alfred Ossian<br>Actual: 9.85<br>Prediction: 8.75<br>Residual: 1.09\", \"Index: Montvila, Rev. 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Gosta Leonard<br>Actual: 21.07<br>Prediction: 24.37<br>Residual: -3.29\", \"Index: Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)<br>Actual: 11.13<br>Prediction: 18.78<br>Residual: -7.64\", \"Index: Nasser, Mrs. Nicholas (Adele Achem)<br>Actual: 30.07<br>Prediction: 24.13<br>Residual: 5.94\", \"Index: Saundercock, Mr. William Henry<br>Actual: 8.05<br>Prediction: 9.01<br>Residual: -0.96\", \"Index: Vestrom, Miss. Hulda Amanda Adolfina<br>Actual: 7.85<br>Prediction: 9.29<br>Residual: -1.43\", \"Index: Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)<br>Actual: 31.39<br>Prediction: 25.49<br>Residual: 5.90\", \"Index: Meyer, Mr. Edgar Joseph<br>Actual: 82.17<br>Prediction: 69.22<br>Residual: 12.95\", \"Index: Devaney, Miss. Margaret Delia<br>Actual: 7.88<br>Prediction: 10.96<br>Residual: -3.09\", \"Index: Arnold-Franchi, Mrs. Josef (Josefine Franchi)<br>Actual: 17.80<br>Prediction: 13.12<br>Residual: 4.68\", \"Index: Rugg, Miss. Emily<br>Actual: 10.50<br>Prediction: 14.20<br>Residual: -3.70\", \"Index: Harris, Mr. Henry Birkhardt<br>Actual: 83.47<br>Prediction: 59.72<br>Residual: 23.75\", \"Index: Skoog, Master. Harald<br>Actual: 27.90<br>Prediction: 25.98<br>Residual: 1.92\", \"Index: Kink, Mr. Vincenz<br>Actual: 8.66<br>Prediction: 18.96<br>Residual: -10.29\", \"Index: Hood, Mr. Ambrose Jr<br>Actual: 73.50<br>Prediction: 14.14<br>Residual: 59.36\", \"Index: Ilett, Miss. Bertha<br>Actual: 10.50<br>Prediction: 15.84<br>Residual: -5.34\", \"Index: Ford, Mr. William Neal<br>Actual: 34.38<br>Prediction: 23.08<br>Residual: 11.30\", \"Index: Christmann, Mr. Emil<br>Actual: 8.05<br>Prediction: 9.09<br>Residual: -1.04\", \"Index: Andreasson, Mr. Paul Edvin<br>Actual: 7.85<br>Prediction: 9.01<br>Residual: -1.15\", \"Index: Chaffee, Mr. Herbert Fuller<br>Actual: 61.17<br>Prediction: 50.89<br>Residual: 10.28\", \"Index: White, Mr. Richard Frasar<br>Actual: 77.29<br>Prediction: 88.47<br>Residual: -11.18\", \"Index: Rekic, Mr. Tido<br>Actual: 7.90<br>Prediction: 9.07<br>Residual: -1.17\", \"Index: Barton, Mr. David John<br>Actual: 8.05<br>Prediction: 9.01<br>Residual: -0.96\", \"Index: Jussila, Miss. Katriina<br>Actual: 9.82<br>Prediction: 13.12<br>Residual: -3.30\", \"Index: Pekoniemi, Mr. Edvard<br>Actual: 7.92<br>Prediction: 9.01<br>Residual: -1.08\", \"Index: Turpin, Mr. William John Robert<br>Actual: 21.00<br>Prediction: 24.72<br>Residual: -3.72\", \"Index: Osen, Mr. Olaf Elon<br>Actual: 9.22<br>Prediction: 9.01<br>Residual: 0.21\", \"Index: Ford, Miss. Robina Maggie \\\"Ruby\\\"<br>Actual: 34.38<br>Prediction: 24.43<br>Residual: 9.95\", \"Index: Navratil, Mr. Michel (\\\"Louis M Hoffman\\\")<br>Actual: 26.00<br>Prediction: 26.44<br>Residual: -0.44\", \"Index: Bateman, Rev. Robert James<br>Actual: 12.53<br>Prediction: 14.20<br>Residual: -1.68\", \"Index: Meo, Mr. Alfonzo<br>Actual: 8.05<br>Prediction: 9.07<br>Residual: -1.02\", \"Index: Cribb, Mr. John Hatfield<br>Actual: 16.10<br>Prediction: 18.64<br>Residual: -2.54\", \"Index: Van der hoef, Mr. Wyckoff<br>Actual: 33.50<br>Prediction: 35.44<br>Residual: -1.94\", \"Index: Sivola, Mr. Antti Wilhelm<br>Actual: 7.92<br>Prediction: 9.01<br>Residual: -1.08\", \"Index: Klasen, Mr. Klas Albin<br>Actual: 7.85<br>Prediction: 19.61<br>Residual: -11.75\", \"Index: Andersen-Jensen, Miss. Carla Christine Nielsine<br>Actual: 7.85<br>Prediction: 14.43<br>Residual: -6.58\", \"Index: Brown, Mrs. James Joseph (Margaret Tobin)<br>Actual: 27.72<br>Prediction: 135.58<br>Residual: -107.86\", \"Index: Vande Walle, Mr. Nestor Cyriel<br>Actual: 9.50<br>Prediction: 9.56<br>Residual: -0.06\", \"Index: Backstrom, Mr. Karl Alfred<br>Actual: 15.85<br>Prediction: 13.06<br>Residual: 2.79\", \"Index: Blank, Mr. Henry<br>Actual: 31.00<br>Prediction: 74.74<br>Residual: -43.74\", \"Index: Ali, Mr. Ahmed<br>Actual: 7.05<br>Prediction: 9.01<br>Residual: -1.96\", \"Index: Green, Mr. George Henry<br>Actual: 8.05<br>Prediction: 9.07<br>Residual: -1.02\", \"Index: Asplund, Miss. Lillian Gertrud<br>Actual: 31.39<br>Prediction: 27.81<br>Residual: 3.58\", \"Index: Hunt, Mr. George Henry<br>Actual: 12.28<br>Prediction: 14.14<br>Residual: -1.87\", \"Index: Stead, Mr. William Thomas<br>Actual: 26.55<br>Prediction: 44.84<br>Residual: -18.29\", \"Index: Parrish, Mrs. (Lutie Davis)<br>Actual: 26.00<br>Prediction: 31.56<br>Residual: -5.56\", \"Index: Asplund, Master. Edvin Rojj Felix<br>Actual: 31.39<br>Prediction: 28.09<br>Residual: 3.30\", \"Index: Andrews, Miss. Kornelia Theodosia<br>Actual: 77.96<br>Prediction: 61.94<br>Residual: 16.02\", \"Index: Abbott, Mrs. Stanton (Rosa Hunt)<br>Actual: 20.25<br>Prediction: 19.11<br>Residual: 1.14\", \"Index: Connolly, Miss. Kate<br>Actual: 7.75<br>Prediction: 10.96<br>Residual: -3.21\", \"Index: Bishop, Mrs. Dickinson H (Helen Walton)<br>Actual: 91.08<br>Prediction: 107.12<br>Residual: -16.04\", \"Index: Levy, Mr. Rene Jacques<br>Actual: 12.88<br>Prediction: 14.14<br>Residual: -1.27\", \"Index: Nysveen, Mr. Johan Hansen<br>Actual: 6.24<br>Prediction: 9.07<br>Residual: -2.83\", \"Index: Burns, Miss. Elizabeth Margaret<br>Actual: 134.50<br>Prediction: 101.93<br>Residual: 32.57\", \"Index: Dimic, Mr. Jovan<br>Actual: 8.66<br>Prediction: 9.07<br>Residual: -0.41\", \"Index: del Carlo, Mr. Sebastiano<br>Actual: 27.72<br>Prediction: 24.72<br>Residual: 3.00\", \"Index: Beavan, Mr. William Thomas<br>Actual: 8.05<br>Prediction: 9.01<br>Residual: -0.96\", \"Index: Widener, Mr. Harry Elkins<br>Actual: 211.50<br>Prediction: 122.54<br>Residual: 88.96\", \"Index: Gustafsson, Mr. Karl Gideon<br>Actual: 7.78<br>Prediction: 9.01<br>Residual: -1.23\", \"Index: Goodwin, Master. Sidney Leonard<br>Actual: 46.90<br>Prediction: 42.47<br>Residual: 4.43\", \"Index: Gustafsson, Mr. Johan Birger<br>Actual: 7.92<br>Prediction: 19.24<br>Residual: -11.31\", \"Index: Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengtsson)<br>Actual: 16.70<br>Prediction: 18.57<br>Residual: -1.87\", \"Index: Niskanen, Mr. Juha<br>Actual: 7.92<br>Prediction: 13.02<br>Residual: -5.10\", \"Index: Minahan, Miss. Daisy E<br>Actual: 90.00<br>Prediction: 97.22<br>Residual: -7.22\", \"Index: Matthews, Mr. William John<br>Actual: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Charters, Mr. David<br>Actual: 7.73<br>Prediction: 9.01<br>Residual: -1.27\", \"Index: Phillips, Miss. Kate Florence (\\\"Mrs Kate Louise Phillips Marshall\\\")<br>Actual: 26.00<br>Prediction: 14.20<br>Residual: 11.80\", \"Index: Hart, Mrs. Benjamin (Esther Ada Bloomfield)<br>Actual: 26.25<br>Prediction: 27.89<br>Residual: -1.64\", \"Index: Peuchen, Major. Arthur Godfrey<br>Actual: 30.50<br>Prediction: 45.07<br>Residual: -14.57\", \"Index: Anderson, Mr. Harry<br>Actual: 26.55<br>Prediction: 39.01<br>Residual: -12.46\", \"Index: Milling, Mr. Jacob Christian<br>Actual: 13.00<br>Prediction: 14.20<br>Residual: -1.20\", \"Index: West, Mrs. Edwy Arthur (Ada Mary Worth)<br>Actual: 27.75<br>Prediction: 29.99<br>Residual: -2.24\", \"Index: Karlsson, Mr. Nils August<br>Actual: 7.52<br>Prediction: 9.01<br>Residual: -1.49\", \"Index: Bishop, Mr. Dickinson H<br>Actual: 91.08<br>Prediction: 146.18<br>Residual: -55.10\", \"Index: Windelov, Mr. Einar<br>Actual: 7.25<br>Prediction: 9.01<br>Residual: -1.76\", \"Index: Svensson, Mr. Olof<br>Actual: 7.80<br>Prediction: 9.01<br>Residual: -1.21\", \"Index: Laitinen, Miss. Kristina Sofia<br>Actual: 9.59<br>Prediction: 9.07<br>Residual: 0.52\", \"Index: Penasco y Castellana, Mr. Victor de Satode<br>Actual: 108.90<br>Prediction: 77.01<br>Residual: 31.89\", \"Index: Angle, Mrs. William A (Florence \\\"Mary\\\" Agnes Hughes)<br>Actual: 26.00<br>Prediction: 24.73<br>Residual: 1.27\", \"Index: Cacic, Miss. Marija<br>Actual: 8.66<br>Prediction: 9.09<br>Residual: -0.43\", \"Index: Hart, Miss. Eva Miriam<br>Actual: 26.25<br>Prediction: 25.60<br>Residual: 0.65\", \"Index: Butt, Major. Archibald Willingham<br>Actual: 26.55<br>Prediction: 35.44<br>Residual: -8.89\", \"Index: Beane, Mr. Edward<br>Actual: 26.00<br>Prediction: 25.23<br>Residual: 0.77\", \"Index: Goldsmith, Mr. Frank John<br>Actual: 20.52<br>Prediction: 19.61<br>Residual: 0.92\", \"Index: Ohman, Miss. Velin<br>Actual: 7.78<br>Prediction: 11.60<br>Residual: -3.83\", \"Index: Taussig, Mrs. Emil (Tillie Mandelbaum)<br>Actual: 79.65<br>Prediction: 96.58<br>Residual: -16.93\", \"Index: Harris, Mr. George<br>Actual: 10.50<br>Prediction: 15.21<br>Residual: -4.71\", \"Index: Appleton, Mrs. Edward Dale (Charlotte Lamson)<br>Actual: 51.48<br>Prediction: 107.98<br>Residual: -56.50\", \"Index: Patchett, Mr. George<br>Actual: 14.50<br>Prediction: 9.01<br>Residual: 5.49\", \"Index: Ross, Mr. John Hugo<br>Actual: 40.12<br>Prediction: 82.43<br>Residual: -42.30\", \"Index: Duff Gordon, Sir. Cosmo Edmund (\\\"Mr Morgan\\\")<br>Actual: 56.93<br>Prediction: 74.41<br>Residual: -17.48\", \"Index: Homer, Mr. Harry (\\\"Mr E Haven\\\")<br>Actual: 26.55<br>Prediction: 132.87<br>Residual: -106.32\", \"Index: Lindell, Mr. Edvard Bengtsson<br>Actual: 15.55<br>Prediction: 13.06<br>Residual: 2.49\", \"Index: Daniel, Mr. Robert Williams<br>Actual: 30.50<br>Prediction: 44.05<br>Residual: -13.55\", \"Index: Laroche, Mrs. Joseph (Juliette Marie Louise Lafargue)<br>Actual: 41.58<br>Prediction: 30.66<br>Residual: 10.92\", \"Index: Shutes, Miss. Elizabeth W<br>Actual: 153.46<br>Prediction: 78.64<br>Residual: 74.82\", \"Index: Lobb, Mrs. William Arthur (Cordelia K Stanlick)<br>Actual: 16.10<br>Prediction: 13.12<br>Residual: 2.98\", \"Index: Yasbeck, Mr. Antoni<br>Actual: 14.45<br>Prediction: 13.12<br>Residual: 1.33\", \"Index: Bostandyeff, Mr. Guentcho<br>Actual: 7.90<br>Prediction: 9.13<br>Residual: -1.23\", \"Index: Lundahl, Mr. Johan Svensson<br>Actual: 7.05<br>Prediction: 9.07<br>Residual: -2.01\", \"Index: Stahelin-Maeglin, Dr. Max<br>Actual: 30.50<br>Prediction: 167.14<br>Residual: -136.64\", \"Index: Stanley, Miss. Amy Zillah Elsie<br>Actual: 7.55<br>Prediction: 11.60<br>Residual: -4.05\", \"Index: Hegarty, Miss. Hanora \\\"Nora\\\"<br>Actual: 6.75<br>Prediction: 9.01<br>Residual: -2.26\", \"Index: Eitemiller, Mr. George Floyd<br>Actual: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Colley, Mr. Edward Pomeroy<br>Actual: 25.59<br>Prediction: 36.25<br>Residual: -10.66\", \"Index: Coleff, Mr. Peju<br>Actual: 7.50<br>Prediction: 9.07<br>Residual: -1.57\", \"Index: Brown, Mrs. Thomas William Solomon (Elizabeth Catherine Ford)<br>Actual: 39.00<br>Prediction: 26.92<br>Residual: 12.08\", \"Index: Davidson, Mr. Thornton<br>Actual: 52.00<br>Prediction: 46.49<br>Residual: 5.51\", \"Index: Turja, Miss. Anna Sofia<br>Actual: 9.84<br>Prediction: 11.60<br>Residual: -1.76\", \"Index: Hassab, Mr. Hammad<br>Actual: 76.73<br>Prediction: 61.45<br>Residual: 15.28\", \"Index: Goodwin, Mr. Charles Edward<br>Actual: 46.90<br>Prediction: 42.47<br>Residual: 4.43\", \"Index: Panula, Mr. Jaako Arnold<br>Actual: 39.69<br>Prediction: 27.31<br>Residual: 12.38\", \"Index: Fischer, Mr. Eberhard Thelander<br>Actual: 7.80<br>Prediction: 9.01<br>Residual: -1.21\", \"Index: Humblen, Mr. Adolf Mathias Nicolai Olsen<br>Actual: 7.65<br>Prediction: 9.07<br>Residual: -1.42\", \"Index: Astor, Mrs. John Jacob (Madeleine Talmadge Force)<br>Actual: 227.53<br>Prediction: 90.87<br>Residual: 136.65\", \"Index: Hansen, Mr. Henrik Juul<br>Actual: 7.85<br>Prediction: 13.12<br>Residual: -5.27\", \"Index: Calderhead, Mr. Edward Pennington<br>Actual: 26.29<br>Prediction: 39.01<br>Residual: -12.72\", \"Index: Taylor, Mr. Elmer Zebley<br>Actual: 52.00<br>Prediction: 59.95<br>Residual: -7.95\", \"Index: Larsson, Mr. August Viktor<br>Actual: 9.48<br>Prediction: 9.09<br>Residual: 0.39\", \"Index: Greenberg, Mr. Samuel<br>Actual: 13.00<br>Prediction: 14.20<br>Residual: -1.20\", \"Index: Troutt, Miss. Edwina Celia \\\"Winnie\\\"<br>Actual: 10.50<br>Prediction: 14.20<br>Residual: -3.70\", \"Index: Johnson, Mr. Malkolm Joackim<br>Actual: 7.78<br>Prediction: 9.16<br>Residual: -1.38\", \"Index: Gillespie, Mr. William Henry<br>Actual: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Allen, Miss. Elisabeth Walton<br>Actual: 211.34<br>Prediction: 77.13<br>Residual: 134.21\", \"Index: Berriman, Mr. William John<br>Actual: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Troupiansky, Mr. Moses Aaron<br>Actual: 13.00<br>Prediction: 14.14<br>Residual: -1.14\", \"Index: Williams, Mr. Leslie<br>Actual: 16.10<br>Prediction: 9.56<br>Residual: 6.54\", \"Index: McNamee, Mr. Neal<br>Actual: 16.10<br>Prediction: 13.12<br>Residual: 2.98\", \"Index: Connaghton, Mr. Michael<br>Actual: 7.75<br>Prediction: 9.09<br>Residual: -1.34\", \"Index: Carlsson, Mr. August Sigfrid<br>Actual: 7.80<br>Prediction: 9.56<br>Residual: -1.76\", \"Index: Rothes, the Countess. of (Lucy Noel Martha Dyer-Edwards)<br>Actual: 86.50<br>Prediction: 76.42<br>Residual: 10.08\", \"Index: Eklund, Mr. Hans Linus<br>Actual: 7.78<br>Prediction: 9.01<br>Residual: -1.23\", \"Index: Hogeboom, Mrs. John C (Anna Andrews)<br>Actual: 77.96<br>Prediction: 61.93<br>Residual: 16.03\", \"Index: Lievens, Mr. Rene Aime<br>Actual: 9.50<br>Prediction: 9.01<br>Residual: 0.49\", \"Index: Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)<br>Actual: 211.34<br>Prediction: 104.14<br>Residual: 107.20\", \"Index: Ayoub, Miss. Banoura<br>Actual: 7.23<br>Prediction: 11.14<br>Residual: -3.91\", \"Index: Dick, Mrs. Albert Adrian (Vera Gillespie)<br>Actual: 57.00<br>Prediction: 76.64<br>Residual: -19.64\", \"Index: Ali, Mr. William<br>Actual: 7.05<br>Prediction: 9.01<br>Residual: -1.96\", \"Index: Sjoblom, Miss. Anna Sofia<br>Actual: 7.50<br>Prediction: 11.60<br>Residual: -4.11\", \"Index: Guggenheim, Mr. Benjamin<br>Actual: 79.20<br>Prediction: 120.52<br>Residual: -41.32\", \"Index: Leader, Dr. Alice (Farnham)<br>Actual: 25.93<br>Prediction: 60.75<br>Residual: -34.82\", \"Index: Collyer, Mrs. Harvey (Charlotte Annie Tate)<br>Actual: 26.25<br>Prediction: 26.92<br>Residual: -0.67\", \"Index: Carter, Master. William Thornton II<br>Actual: 120.00<br>Prediction: 151.12<br>Residual: -31.12\", \"Index: Thomas, Master. Assad Alexander<br>Actual: 8.52<br>Prediction: 17.56<br>Residual: -9.04\", \"Index: Johansson, Mr. Karl Johan<br>Actual: 7.78<br>Prediction: 9.09<br>Residual: -1.32\", \"Index: Slemen, Mr. Richard James<br>Actual: 10.50<br>Prediction: 14.14<br>Residual: -3.64\", \"Index: Tomlin, Mr. Ernest Portage<br>Actual: 8.05<br>Prediction: 9.09<br>Residual: -1.04\", \"Index: Richards, Master. George Sibley<br>Actual: 18.75<br>Prediction: 26.93<br>Residual: -8.18\", \"Index: Mudd, Mr. Thomas Charles<br>Actual: 10.50<br>Prediction: 15.78<br>Residual: -5.28\", \"Index: Lemberopolous, Mr. Peter L<br>Actual: 6.44<br>Prediction: 9.07<br>Residual: -2.63\", \"Index: Boulos, Miss. Nourelain<br>Actual: 15.25<br>Prediction: 19.61<br>Residual: -4.36\", \"Index: Aks, Mrs. Sam (Leah Rosen)<br>Actual: 9.35<br>Prediction: 17.75<br>Residual: -8.40\", \"Index: Johnson, Master. Harold Theodor<br>Actual: 11.13<br>Prediction: 19.11<br>Residual: -7.98\", \"Index: Carlsson, Mr. Frans Olof<br>Actual: 5.00<br>Prediction: 36.55<br>Residual: -31.55\", \"Index: Gustafsson, Mr. Alfred Ossian<br>Actual: 9.85<br>Prediction: 9.01<br>Residual: 0.84\", \"Index: Montvila, Rev. Juozas<br>Actual: 13.00<br>Prediction: 14.14<br>Residual: -1.14\"], \"type\": \"scattergl\", \"x\": [38.0, 35.0, 2.0, 27.0, 14.0, 20.0, 14.0, 38.0, 28.0, 19.0, 18.0, 21.0, 45.0, 4.0, 26.0, 21.0, 17.0, 16.0, 29.0, 20.0, 46.0, 21.0, 38.0, 22.0, 20.0, 21.0, 29.0, 16.0, 9.0, 36.5, 51.0, 55.5, 44.0, 61.0, 21.0, 18.0, 19.0, 44.0, 28.0, 32.0, 40.0, 24.0, 51.0, 5.0, 33.0, 62.0, 50.0, 3.0, 63.0, 35.0, 22.0, 19.0, 36.0, 61.0, 41.0, 42.0, 29.0, 19.0, 27.0, 19.0, 1.0, 28.0, 24.0, 39.0, 33.0, 30.0, 21.0, 19.0, 45.0, 52.0, 48.0, 48.0, 33.0, 22.0, 25.0, 21.0, 24.0, 37.0, 18.0, 36.0, 30.0, 7.0, 45.0, 32.0, 33.0, 22.0, 39.0, 62.0, 53.0, 19.0, 36.0, 49.0, 35.0, 36.0, 27.0, 22.0, 40.0, 26.0, 27.0, 26.0, 51.0, 32.0, 23.0, 18.0, 23.0, 47.0, 36.0, 40.0, 31.0, 18.0, 27.0, 14.0, 14.0, 18.0, 42.0, 18.0, 26.0, 42.0, 48.0, 29.0, 52.0, 27.0, 33.0, 34.0, 29.0, 23.0, 23.0, 28.5, 24.0, 31.0, 28.0, 33.0, 16.0, 51.0, 24.0, 43.0, 13.0, 17.0, 25.0, 18.0, 46.0, 49.0, 31.0, 11.0, 0.42, 31.0, 35.0, 30.5, 0.83, 16.0, 34.5, 9.0, 18.0, 4.0, 33.0, 20.0, 27.0], \"y\": [-40.61757359539571, -30.997422207702023, -3.2949164640933866, -7.6422622710866275, 5.940524822105186, -0.9568147709443782, -1.4340799232390795, 5.898667868552689, 12.950209697579481, -3.0850718230606597, 4.676010145887611, -3.701714669987096, 23.754631730833047, 1.9234075391193954, -10.294359182215741, 59.35500981534346, -5.337900274270362, 11.299880262982843, -1.0423620150162414, -1.1526147709443793, 10.283908515918071, -11.183523339953354, -1.1718227782082549, -0.9568147709443782, -3.2989898541123903, -1.081814770944379, -3.716549017727729, 0.20988522905562057, 9.948346674562075, -0.44195337684680425, -1.67643302151831, -1.0176227782082545, -2.540751733033023, -1.9407716898709921, -1.081814770944379, -11.751873792404982, -6.575904440539147, -107.85609474731086, -0.057625471267149564, 2.791733539164918, -43.7448506687722, -1.956814770944379, -1.0176227782082545, 3.577209210845762, -1.869990184656542, -18.290788260092288, -5.560172008564667, 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0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}],                        {\"hovermode\": \"closest\", \"plot_bgcolor\": \"#fff\", \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Residuals vs Age\"}, \"xaxis\": {\"title\": {\"text\": \"Age value\"}}, \"yaxis\": {\"range\": [-136.636395849327, 136.65144810448345], \"title\": {\"text\": \"residuals (y-preds)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('f16e232e-5034-4285-aea5-4faecd542958');\n",
+       "var gd = document.getElementById('3cc7bbaa-e799-4258-b262-b257f8c9ea46');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -123811,11 +85352,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 80,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:50:05.156654Z",
-     "start_time": "2020-10-12T08:50:05.066587Z"
+     "end_time": "2021-01-20T16:04:34.673145Z",
+     "start_time": "2021-01-20T16:04:34.573604Z"
     }
    },
    "outputs": [
@@ -123825,7 +85366,7 @@
        "RandomForestClassifier(max_depth=5, n_estimators=50)"
       ]
      },
-     "execution_count": 84,
+     "execution_count": 80,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -123834,9 +85375,9 @@
      "output_type": "stream",
      "text": [
       "Note: shap=='guess' so guessing for RandomForestClassifier shap='tree'...\n",
+      "Detected RandomForestClassifier model: Changing class type to RandomForestClassifierExplainer...\n",
       "Note: model_output=='probability', so assuming that raw shap output of RandomForestClassifier is in probability space...\n",
-      "Generating self.shap_explainer = shap.TreeExplainer(model)\n",
-      "Changing class type to RandomForestClassifierExplainer...\n"
+      "Generating self.shap_explainer = shap.TreeExplainer(model)\n"
      ]
     }
    ],
@@ -123857,11 +85398,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 81,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:50:06.924657Z",
-     "start_time": "2020-10-12T08:50:06.835565Z"
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23.36, 34.93]}],                        {\"annotations\": [{\"arrowcolor\": \"lightgrey\", \"bgcolor\": \"lightgrey\", \"startstandoff\": 0, \"text\": \"Average prediction = 14.50\", \"x\": 29.4, \"y\": 14.5026}, {\"arrowcolor\": \"red\", \"bgcolor\": \"red\", \"text\": \"observed=0\", \"x\": 19.6, \"y\": 0}], \"plot_bgcolor\": \"#fff\", \"shapes\": [{\"line\": {\"color\": \"lightgray\", \"dash\": \"dot\", \"width\": 4}, \"type\": \"line\", \"x0\": 0, \"x1\": 49, \"xref\": \"x\", \"y0\": 14.5026, \"y1\": 14.5026, \"yref\": \"y\"}, {\"line\": {\"color\": \"red\", \"dash\": \"dashdot\", \"width\": 4}, \"type\": \"line\", \"x0\": 0, \"x1\": 49, \"xref\": \"x\", \"y0\": 0, \"y1\": 0, \"yref\": \"y\"}], \"template\": {\"data\": {\"scatter\": [{\"type\": \"scatter\"}]}}, \"title\": {\"text\": \"Individual RandomForest decision trees predicting Survival\"}, \"xaxis\": {\"title\": {\"text\": \"decision trees (sorted by prediction\"}}, \"yaxis\": {\"title\": {\"text\": \"Predicted Survival \"}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('906d73da-6277-4398-97be-9ec939a43977');\n",
+       "var gd = document.getElementById('acdf7ec8-665c-43d8-a91c-97495ca580dd');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -124204,11 +85748,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 82,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:50:10.732132Z",
-     "start_time": "2020-10-12T08:50:10.684355Z"
+     "end_time": "2021-01-20T16:04:41.062189Z",
+     "start_time": "2021-01-20T16:04:41.009613Z"
     }
    },
    "outputs": [
@@ -124216,7 +85760,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Generating ShadowDecTree for each individual decision tree...\n"
+      "Calculating ShadowDecTree for each individual decision tree...\n"
      ]
     },
     {
@@ -124255,62 +85799,62 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>0</td>\n",
-       "      <td>0.369030</td>\n",
+       "      <td>0.380608</td>\n",
        "      <td>Sex_male</td>\n",
        "      <td>1.0</td>\n",
        "      <td>0.5</td>\n",
        "      <td>right</td>\n",
-       "      <td>0.765217</td>\n",
-       "      <td>0.171367</td>\n",
-       "      <td>-0.197664</td>\n",
+       "      <td>0.701195</td>\n",
+       "      <td>0.197727</td>\n",
+       "      <td>-0.182881</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>26</td>\n",
-       "      <td>0.171367</td>\n",
-       "      <td>No_of_parents_plus_children_on_board</td>\n",
+       "      <td>24</td>\n",
+       "      <td>0.197727</td>\n",
+       "      <td>Deck_C</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.5</td>\n",
        "      <td>left</td>\n",
-       "      <td>0.129870</td>\n",
-       "      <td>0.381579</td>\n",
-       "      <td>-0.041496</td>\n",
+       "      <td>0.184019</td>\n",
+       "      <td>0.407407</td>\n",
+       "      <td>-0.013708</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>27</td>\n",
-       "      <td>0.129870</td>\n",
-       "      <td>Deck_E</td>\n",
+       "      <td>25</td>\n",
+       "      <td>0.184019</td>\n",
+       "      <td>Deck_A</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.5</td>\n",
        "      <td>left</td>\n",
-       "      <td>0.117333</td>\n",
-       "      <td>0.600000</td>\n",
-       "      <td>-0.012537</td>\n",
+       "      <td>0.179361</td>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>-0.004658</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>28</td>\n",
-       "      <td>0.117333</td>\n",
-       "      <td>Deck_Unkown</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.5</td>\n",
-       "      <td>right</td>\n",
-       "      <td>0.285714</td>\n",
-       "      <td>0.100000</td>\n",
-       "      <td>-0.017333</td>\n",
+       "      <td>26</td>\n",
+       "      <td>0.179361</td>\n",
+       "      <td>Age</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>45.5</td>\n",
+       "      <td>left</td>\n",
+       "      <td>0.203911</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.024549</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>32</td>\n",
-       "      <td>0.100000</td>\n",
-       "      <td>PassengerClass</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>2.5</td>\n",
-       "      <td>right</td>\n",
-       "      <td>0.134831</td>\n",
-       "      <td>0.087649</td>\n",
-       "      <td>-0.012351</td>\n",
+       "      <td>27</td>\n",
+       "      <td>0.203911</td>\n",
+       "      <td>No_of_parents_plus_children_on_board</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>left</td>\n",
+       "      <td>0.167785</td>\n",
+       "      <td>0.383333</td>\n",
+       "      <td>-0.036125</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -124318,21 +85862,21 @@
       ],
       "text/plain": [
        "  node_id   average                               feature  value  split  \\\n",
-       "0       0  0.369030                              Sex_male    1.0    0.5   \n",
-       "1      26  0.171367  No_of_parents_plus_children_on_board    0.0    0.5   \n",
-       "2      27  0.129870                                Deck_E    0.0    0.5   \n",
-       "3      28  0.117333                           Deck_Unkown    1.0    0.5   \n",
-       "4      32  0.100000                        PassengerClass    3.0    2.5   \n",
+       "0       0  0.380608                              Sex_male    1.0    0.5   \n",
+       "1      24  0.197727                                Deck_C    0.0    0.5   \n",
+       "2      25  0.184019                                Deck_A    0.0    0.5   \n",
+       "3      26  0.179361                                   Age   29.0   45.5   \n",
+       "4      27  0.203911  No_of_parents_plus_children_on_board    0.0    0.5   \n",
        "\n",
        "  direction      left     right      diff  \n",
-       "0     right  0.765217  0.171367 -0.197664  \n",
-       "1      left  0.129870  0.381579 -0.041496  \n",
-       "2      left  0.117333  0.600000 -0.012537  \n",
-       "3     right  0.285714  0.100000 -0.017333  \n",
-       "4     right  0.134831  0.087649 -0.012351  "
+       "0     right  0.701195  0.197727 -0.182881  \n",
+       "1      left  0.184019  0.407407 -0.013708  \n",
+       "2      left  0.179361  0.500000 -0.004658  \n",
+       "3      left  0.203911  0.000000  0.024549  \n",
+       "4      left  0.167785  0.383333 -0.036125  "
       ]
      },
-     "execution_count": 86,
+     "execution_count": 82,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -124343,11 +85887,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 83,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:50:13.084318Z",
-     "start_time": "2020-10-12T08:50:13.027771Z"
+     "end_time": "2021-01-20T16:04:51.167119Z",
+     "start_time": "2021-01-20T16:04:51.102873Z"
     }
    },
    "outputs": [
@@ -124384,82 +85928,81 @@
        "      <td></td>\n",
        "      <td></td>\n",
        "      <td>Starting average</td>\n",
-       "      <td>36.03%</td>\n",
+       "      <td>37.48%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>PassengerClass</td>\n",
-       "      <td>3.0 &gt;= 2.5</td>\n",
-       "      <td>-15.14%</td>\n",
-       "      <td>20.89%</td>\n",
+       "      <td>Sex_female</td>\n",
+       "      <td>0.0 &lt; 0.5</td>\n",
+       "      <td>-18.06%</td>\n",
+       "      <td>19.43%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>No_of_relatives_on_board</td>\n",
-       "      <td>0.0 &lt; 3.5</td>\n",
-       "      <td>+3.3%</td>\n",
-       "      <td>24.19%</td>\n",
+       "      <td>No_of_siblings_plus_spouses_on_board</td>\n",
+       "      <td>0.0 &lt; 3.0</td>\n",
+       "      <td>+0.8%</td>\n",
+       "      <td>20.23%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>Sex_male</td>\n",
-       "      <td>1.0 &gt;= 0.5</td>\n",
-       "      <td>-8.95%</td>\n",
-       "      <td>15.25%</td>\n",
+       "      <td>Fare</td>\n",
+       "      <td>8.05 &lt; 26.268750190734863</td>\n",
+       "      <td>-7.34%</td>\n",
+       "      <td>12.89%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>Deck_Unkown</td>\n",
        "      <td>1.0 &gt;= 0.5</td>\n",
-       "      <td>-0.63%</td>\n",
-       "      <td>14.61%</td>\n",
+       "      <td>-0.47%</td>\n",
+       "      <td>12.42%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>Age</td>\n",
-       "      <td>29.0 &lt; 32.5</td>\n",
-       "      <td>+2.9%</td>\n",
-       "      <td>17.51%</td>\n",
+       "      <td>Embarked_Cherbourg</td>\n",
+       "      <td>0.0 &lt; 0.5</td>\n",
+       "      <td>-2.23%</td>\n",
+       "      <td>10.19%</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
        "      <td></td>\n",
        "      <td></td>\n",
        "      <td>Final Prediction</td>\n",
-       "      <td>17.51%</td>\n",
+       "      <td>10.19%</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                    Feature          Condition        Adjustment  \\\n",
-       "0                                               Starting average   \n",
-       "1            PassengerClass  3.0 >= 2.5                  -15.14%   \n",
-       "2  No_of_relatives_on_board   0.0 < 3.5                    +3.3%   \n",
-       "3                  Sex_male  1.0 >= 0.5                   -8.95%   \n",
-       "4               Deck_Unkown  1.0 >= 0.5                   -0.63%   \n",
-       "5                       Age  29.0 < 32.5                   +2.9%   \n",
-       "6                                               Final Prediction   \n",
+       "                                Feature                  Condition  \\\n",
+       "0                                                                    \n",
+       "1                            Sex_female           0.0 < 0.5          \n",
+       "2  No_of_siblings_plus_spouses_on_board           0.0 < 3.0          \n",
+       "3                                  Fare  8.05 < 26.268750190734863   \n",
+       "4                           Deck_Unkown          1.0 >= 0.5          \n",
+       "5                    Embarked_Cherbourg           0.0 < 0.5          \n",
+       "6                                                                    \n",
        "\n",
-       "  New Prediction  \n",
-       "0         36.03%  \n",
-       "1         20.89%  \n",
-       "2         24.19%  \n",
-       "3         15.25%  \n",
-       "4         14.61%  \n",
-       "5         17.51%  \n",
-       "6        17.51%   "
+       "         Adjustment New Prediction  \n",
+       "0  Starting average         37.48%  \n",
+       "1           -18.06%         19.43%  \n",
+       "2             +0.8%         20.23%  \n",
+       "3            -7.34%         12.89%  \n",
+       "4            -0.47%         12.42%  \n",
+       "5            -2.23%         10.19%  \n",
+       "6  Final Prediction        10.19%   "
       ]
      },
-     "execution_count": 87,
+     "execution_count": 83,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "decisiontree_df = explainer.decisionpath_summary_df(tree_idx=5, index=name)\n",
-    "decisiontree_df"
+    "explainer.decisionpath_summary_df(tree_idx=5, index=name)"
    ]
   },
   {
@@ -124476,1879 +86019,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 85,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2020-10-12T08:50:17.842295Z",
-     "start_time": "2020-10-12T08:50:16.078249Z"
+     "end_time": "2021-01-20T16:05:48.378662Z",
+     "start_time": "2021-01-20T16:05:48.298578Z"
     }
    },
    "outputs": [
     {
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+     "ename": "IndexError",
+     "evalue": "only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-85-0cbca382de81>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mexplainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdecisiontree\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtree_idx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m~/projects/explainerdashboard/explainerdashboard/explainers.py\u001b[0m in \u001b[0;36mdecisiontree\u001b[0;34m(self, tree_idx, index, show_just_path)\u001b[0m\n\u001b[1;32m   2740\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2741\u001b[0m         \u001b[0;32mfrom\u001b[0m \u001b[0mIPython\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdisplay\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mSVG\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2742\u001b[0;31m         \u001b[0msvg_file\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdecisiontree_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtree_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mshow_just_path\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2743\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mSVG\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msvg_file\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'rb'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2744\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/projects/explainerdashboard/explainerdashboard/explainers.py\u001b[0m in \u001b[0;36mdecisiontree_file\u001b[0;34m(self, tree_idx, index, show_just_path)\u001b[0m\n\u001b[1;32m   2715\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2716\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2717\u001b[0;31m         viz = dtreeviz(self.shadow_trees[tree_idx], \n\u001b[0m\u001b[1;32m   2718\u001b[0m                         \u001b[0mX\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_X_row\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msqueeze\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2719\u001b[0m                         \u001b[0mfancy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/projects/explainerdashboard/venv/lib/python3.8/site-packages/dtreeviz/trees.py\u001b[0m in \u001b[0;36mdtreeviz\u001b[0;34m(tree_model, x_data, y_data, feature_names, target_name, class_names, tree_index, precision, orientation, instance_orientation, show_root_edge_labels, show_node_labels, show_just_path, fancy, histtype, highlight_path, X, max_X_features_LR, max_X_features_TD, label_fontsize, ticks_fontsize, fontname, colors, scale)\u001b[0m\n\u001b[1;32m    780\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mshadow_tree\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_classifier\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    781\u001b[0m         \u001b[0mnbins\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_num_bins\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhisttype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn_classes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 782\u001b[0;31m         \u001b[0mnode_heights\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mshadow_tree\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_split_node_heights\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX_data\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_data\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnbins\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnbins\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    783\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    784\u001b[0m     \u001b[0minternal\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/projects/explainerdashboard/venv/lib/python3.8/site-packages/dtreeviz/models/shadow_decision_tree.py\u001b[0m in \u001b[0;36mget_split_node_heights\u001b[0;34m(self, X_train, y_train, nbins)\u001b[0m\n\u001b[1;32m    278\u001b[0m             \u001b[0;31m# print(f\"\\tlen(bins)={len(bins):2d} bins={bins}\")\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    279\u001b[0m             \u001b[0mX\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mX_feature\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msamples\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msamples\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 280\u001b[0;31m             \u001b[0mX_hist\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0my\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mcl\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mcl\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mclass_values\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    281\u001b[0m             \u001b[0mheight_of_bins\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnbins\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    282\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclass_values\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/projects/explainerdashboard/venv/lib/python3.8/site-packages/dtreeviz/models/shadow_decision_tree.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    278\u001b[0m             \u001b[0;31m# print(f\"\\tlen(bins)={len(bins):2d} bins={bins}\")\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    279\u001b[0m             \u001b[0mX\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mX_feature\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msamples\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msamples\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 280\u001b[0;31m             \u001b[0mX_hist\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0my\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mcl\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mcl\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mclass_values\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    281\u001b[0m             \u001b[0mheight_of_bins\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnbins\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    282\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclass_values\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mIndexError\u001b[0m: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices"
+     ]
     }
    ],
    "source": [
diff --git a/explainerdashboard/dashboards.py b/explainerdashboard/dashboards.py
index cc93728..292c71f 100644
--- a/explainerdashboard/dashboards.py
+++ b/explainerdashboard/dashboards.py
@@ -361,6 +361,14 @@ def __init__(self, explainer=None, tabs=None,
 
         self._store_params(no_param=['explainer', 'tabs', 'server'])
         self._stored_params['tabs'] = self._tabs_to_yaml(tabs)
+        if not hasattr(explainer, "__version__"):
+            raise ValueError(f"The {explainer.__class__.__name__} was generated with a version of "
+                    "explainerdashboard<0.3 and therefore not compatible with "
+                    "this version's ExplainerDashboard! Please regenerate "
+                    "your explainer and .dump() it to take advantage of this "
+                    "new version.")
+
+        from packaging.version import parse as parse_version
 
         if self.description is None:
             self.description = """This dashboard shows the workings of a fitted
diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index 958ced7..1e0a266 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -1483,6 +1483,72 @@ def plot_pdp(self, col, index=None, X_row=None, drop_na=True, sample=100,
                         num_grid_lines=min(gridlines, sample, len(self.X)), 
                         round=round, target=self.target, units=units)
 
+    def get_int_idx(*args, **kwargs):
+        raise NotImplementedError("get_int_idx has been deprecated! Use get_idx() instead!")
+
+    @property
+    def shap_values(*args, **kwargs):
+        raise NotImplementedError("shap_values has been deprecated! Use shap_values_df() instead!")
+
+    def get_dfs(*args, **kwargs):
+        raise NotImplementedError("get_dfs() has been deprecated! ")
+
+    def to_sql(*args, **kwargs):
+        raise NotImplementedError("to_sql() has been deprecated!")
+
+    def get_prop_for_label(*args, **kwargs):
+        raise NotImplementedError("get_prop_for_label() has been deprecated!")
+
+    def plot_shap_contributions(*args, **kwargs):
+        raise NotImplementedError("plot_shap_contributions() has been deprecated! "
+                "Use plot_contributions() instead!")
+
+    def plot_shap_summary(*args, **kwargs):
+        raise NotImplementedError("plot_shap_summary() has been deprecated! "
+                "Use plot_shap_detailed() instead!")
+
+    def plot_shap_dependence(*args, **kwargs):
+        raise NotImplementedError("plot_shap_dependence() has been deprecated! "
+                "Use plot_dependence() instead!")
+
+    def plot_shap_interaction(*args, **kwargs):
+        raise NotImplementedError("plot_shap_interaction() has been deprecated! "
+                "Use plot_interaction() instead!")
+
+    def plot_shap_interaction_summary(*args, **kwargs):
+        raise NotImplementedError("plot_shap_interaction_summary() has been deprecated! "
+                "Use plot_interactions_detailed() instead!")
+
+    def plot_interactions(*args, **kwargs):
+        raise NotImplementedError("plot_interactions() has been deprecated! "
+                "Use plot_interactions_importance() instead!")
+
+    @property
+    def decision_trees(*args, **kwargs):
+        raise NotImplementedError(".decision_trees has been deprecated! "
+                "Use .shadow_trees instead!")
+
+    def decisiontree_df(*args, **kwargs):
+        raise NotImplementedError("decisiontree_df() has been deprecated! "
+                "Use decisionpath_df() instead!")
+
+    def decisiontree_summary_df(*args, **kwargs):
+        raise NotImplementedError("decisiontree_summary_df() has been deprecated! "
+                "Use decisionpath_summary_df() instead!")
+
+    def decision_path_file(*args, **kwargs):
+        raise NotImplementedError("decision_path_file() has been deprecated! "
+                "Use decisiontree_file() instead!")
+
+    def decision_path(*args, **kwargs):
+        raise NotImplementedError("decision_path() has been deprecated! "
+                "Use decisiontree() instead!")
+
+    def decision_path_encoded(*args, **kwargs):
+        raise NotImplementedError("decision_path_encoded() has been deprecated! "
+                "Use decisiontree_encoded() instead!")
+
+
 
 class ClassifierExplainer(BaseExplainer):
     """ """
diff --git a/requirements.txt b/requirements.txt
index 14a3147..35a245a 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -2,9 +2,14 @@ dash
 dash-bootstrap-components
 dash-auth
 jupyter_dash
-dtreeviz
+dtreeviz>=1.0
 numpy
 pandas>=0.24
 scikit-learn
 shap>=0.37
 shortuuid
+joblib
+oyaml
+click
+waitress
+flask_simplelogin
\ No newline at end of file

From 659f1e073411b48359ad5ebc69ce3d757963ed32 Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Thu, 21 Jan 2021 09:32:33 +0100
Subject: [PATCH 11/28] set_X_row_func check signature and accepts methods

---
 explainerdashboard/explainers.py | 35 +++++++++++++++++++++++++++++---
 1 file changed, 32 insertions(+), 3 deletions(-)

diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index 1e0a266..3c2d5d0 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -13,6 +13,7 @@
 import base64
 from pathlib import Path
 from typing import List, Union
+from types import MethodType
 
 import numpy as np
 import pandas as pd
@@ -401,7 +402,17 @@ def get_index_list(self):
         return index_list
 
     def set_index_list_func(self, func):
-        self._get_index_list_func = func
+        assert callable(func), f"{func} is not a callable! pass either a function or a method!"
+        argspec = inspect.getfullargspec(func).args
+        if argspec == ['self']:
+            self._get_index_list_func = MethodType(func, self)
+        elif argspec == []:
+            self._get_index_list_func = func
+        else:
+            raise ValueError(f"Parameter func should either be a function {func.__name__}() "
+                             f"or a method {func.__name__}(self)! Instead you "
+                             f"passed func={func.__name__}{inspect.signature(func)}")
+
 
     def get_X_row(self, index, merge=False):
         if self._get_X_row_func is not None:
@@ -417,7 +428,16 @@ def get_X_row(self, index, merge=False):
         return X_row
 
     def set_X_row_func(self, func):
-        self._get_X_row_func = func
+        assert callable(func), f"{func} is not a callable! pass either a function or a method!"
+        argspec = inspect.getfullargspec(func).args
+        if argspec == ['self', 'index']:
+            self._get_X_row_func = MethodType(func, self)
+        elif argspec == ['index']:
+            self._get_X_row_func = func
+        else:
+            raise ValueError(f"Parameter func should either be a function {func.__name__}(index) "
+                             f"or a method {func.__name__}(self, index)! Instead you "
+                             f"passed func={func.__name__}{inspect.signature(func)}")
 
     def get_y(self, index):
         if self._get_y_func is not None:
@@ -430,7 +450,16 @@ def get_y(self, index):
         return y
 
     def set_y_func(self, func):
-        self._get_y_func = func
+        assert callable(func), f"{func} is not a callable! pass either a function or a method!"
+        argspec = inspect.getfullargspec(func).args
+        if argspec == ['self', 'index']:
+            self._get_y_func = func = MethodType(func, self)
+        elif argspec == ['index']:
+            self._get_y_func = func = func
+        else:
+            raise ValueError(f"Parameter func should either be a function {func.__name__}(index) "
+                             f"or a method {func.__name__}(self, index)! Instead you "
+                             f"passed func={func.__name__}{inspect.signature(func)}")
 
     def get_row_from_input(self, inputs:List, ranked_by_shap=False, return_merged=False):
         """returns a single row pd.DataFrame from a given list of *inputs"""

From 54dcaa69d47029f1b9d016b250bd3add50ec7f27 Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Fri, 22 Jan 2021 11:09:24 +0100
Subject: [PATCH 12/28] fixes xgboost plot_trees y*100 bug

---
 TODO.md                          |  1 +
 explainerdashboard/explainers.py | 24 +++++++++++++++++++-----
 2 files changed, 20 insertions(+), 5 deletions(-)

diff --git a/TODO.md b/TODO.md
index a01b239..9644c45 100644
--- a/TODO.md
+++ b/TODO.md
@@ -8,6 +8,7 @@
 - add deprecation warnings for old methods
 - update tutorial notebooks
 - check InlineExplainer 
+- fix xgboost plot_trees y axis
 ## Bugs:
 
 
diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index 3c2d5d0..d2f6b50 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -402,6 +402,11 @@ def get_index_list(self):
         return index_list
 
     def set_index_list_func(self, func):
+        """Sets an external function all available indexes from an external source.
+
+        func should either be a parameterless function: def func(): ...
+        or a parameterless method: def func(self): ...
+        """
         assert callable(func), f"{func} is not a callable! pass either a function or a method!"
         argspec = inspect.getfullargspec(func).args
         if argspec == ['self']:
@@ -413,7 +418,6 @@ def set_index_list_func(self, func):
                              f"or a method {func.__name__}(self)! Instead you "
                              f"passed func={func.__name__}{inspect.signature(func)}")
 
-
     def get_X_row(self, index, merge=False):
         if self._get_X_row_func is not None:
             X_row = self._get_X_row_func(index)
@@ -428,6 +432,11 @@ def get_X_row(self, index, merge=False):
         return X_row
 
     def set_X_row_func(self, func):
+        """Sets an external function to retrieve a row of input data a given index.
+
+        func should either be a function that takes a single parameter: def func(index)
+        or a method that takes a single parameter: def func(self, index)
+        """
         assert callable(func), f"{func} is not a callable! pass either a function or a method!"
         argspec = inspect.getfullargspec(func).args
         if argspec == ['self', 'index']:
@@ -450,6 +459,11 @@ def get_y(self, index):
         return y
 
     def set_y_func(self, func):
+        """Sets an external function to retrieve an observed label for a given index.
+
+        func should either be a function that takes a single parameter: def func(index)
+        or a method that takes a single parameter: def func(self, index)
+        """
         assert callable(func), f"{func} is not a callable! pass either a function or a method!"
         argspec = inspect.getfullargspec(func).args
         if argspec == ['self', 'index']:
@@ -2848,7 +2862,7 @@ def shadow_trees(self):
             self._shadow_trees = [
                 ShadowDecTree.get_shadow_tree(decision_tree,
                                         self.X,
-                                        self.y,
+                                        self.y.astype("int32"),
                                         feature_names=self.X.columns.tolist(),
                                         target_name='target',
                                         class_names = self.labels if self.is_classifier else None)
@@ -2919,7 +2933,7 @@ def shadow_trees(self):
             self._shadow_trees = [
                 ShadowDecTree.get_shadow_tree(self.model.get_booster(),
                                         self.X,
-                                        self.y,
+                                        self.y.astype("int32"),
                                         feature_names=self.X.columns.tolist(),
                                         target_name='target',
                                         class_names = self.labels if self.is_classifier else None,
@@ -2986,7 +3000,7 @@ def decisiontree_file(self, tree_idx, index, show_just_path=False, pos_label=Non
             if len(self.labels) > 2:
                 tree_idx = tree_idx * len(self.labels) + pos_label
 
-        viz = dtreeviz(self.decision_trees[tree_idx], 
+        viz = dtreeviz(self.shadow_trees[tree_idx], 
                         X=self.get_X_row(index).squeeze(), 
                         fancy=False,
                         show_node_labels = False,
@@ -3012,7 +3026,7 @@ def plot_trees(self, index, highlight_tree=None, round=2,
         if self.is_classifier:
             pos_label = self.pos_label_index(pos_label)
             y = self.get_y(index)
-            y = 100 * int(y == pos_label) if y is not None else y
+            y = int(y == pos_label) if y is not None else y
             xgboost_preds_df = get_xgboost_preds_df(
                 self.model, self.get_X_row(index), pos_label=pos_label)
             return plotly_xgboost_trees(xgboost_preds_df, 

From 3e9b82ae42d9011b94761fe4fedd940ca9923f70 Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Fri, 22 Jan 2021 14:29:14 +0100
Subject: [PATCH 13/28] updates docs to v0.3

---
 README.md                        |   9 +-
 RELEASE_NOTES.md                 |   3 +
 TODO.md                          |   6 +-
 docs/source/cli.rst              |   7 +-
 docs/source/components.rst       |  14 +--
 docs/source/custom.rst           |  94 +++++++++-------
 docs/source/dashboards.rst       |  25 +++--
 docs/source/deployment.rst       |  30 +++---
 docs/source/explainers.rst       | 177 +++++++++++++++----------------
 docs/source/hub.rst              |   8 +-
 docs/source/index.rst            |  27 +++--
 docs/source/inline.rst           |  16 +--
 explainerdashboard/explainers.py |  18 ++++
 13 files changed, 251 insertions(+), 183 deletions(-)

diff --git a/README.md b/README.md
index 6b7b735..f20b044 100644
--- a/README.md
+++ b/README.md
@@ -303,7 +303,6 @@ cats toggle will be hidden on every component that has one:
 ```python
 ExplainerDashboard(explainer, 
                     no_permutations=True, # do not show or calculate permutation importances
-                    hide_cats=True, # hide the group cats toggles
                     hide_depth=True, # hide the depth (no of features) dropdown
                     hide_sort=True, # hide sort type dropdown in contributions graph/table
                     hide_orientation=True, # hide orientation dropdown in contributions graph/table
@@ -339,9 +338,9 @@ ExplainerDashboard(explainer,
                     col='Fare', # initial feature in shap graphs
                     color_col='Age', # color feature in shap dependence graph
                     interact_col='Age', # interaction feature in shap interaction
-                    cats=False, # do not group categorical onehot features
                     depth=5, # only show top 5 features
                     sort = 'low-to-high', # sort features from lowest shap to highest in contributions graph/table
+                    cats_topx=3, # show only the top 3 categories for categorical features
                     cats_sort='alphabet', # short categorical features alphabetically
                     orientation='horizontal', # horizontal bars in contributions graph
                     index='Rugg, Miss. Emily', # initial index to display
@@ -367,12 +366,12 @@ a few toggles:
 from explainerdashboard.custom import *
 
 class CustomDashboard(ExplainerComponent):
-    def __init__(self, explainer, **kwargs):
+    def __init__(self, explainer, name=None):
         super().__init__(explainer, title="Custom Dashboard")
-        self.confusion = ConfusionMatrixComponent(explainer,
+        self.confusion = ConfusionMatrixComponent(explainer, name=self.name+"cm",
                             hide_selector=True, hide_percentage=True,
                             cutoff=0.75)
-        self.contrib = ShapContributionsGraphComponent(explainer,
+        self.contrib = ShapContributionsGraphComponent(explainer, name=self.name+"contrib",
                             hide_selector=True, hide_cats=True, 
                             hide_depth=True, hide_sort=True,
                             index='Rugg, Miss. Emily')
diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index af2d948..573e520 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -21,6 +21,9 @@
 
 - Naming changes:
     - `BaseExplainer`:
+        
+        - `importances_df()` -> `get_importances_df()`
+        - `feature_permutations_df()` -> `get_feature_permutations_df()`
         - `self.get_int_idx(index)` -> `self.get_idx(index)`
         - `self.shap_values` -> `self.shap_values_df`
         - `plot_shap_contributions()` -> `plot_contributions()`
diff --git a/TODO.md b/TODO.md
index 9644c45..5463911 100644
--- a/TODO.md
+++ b/TODO.md
@@ -104,13 +104,17 @@
 - write tests for explainer_plots
 
 ## Docs:
+- add memory savings to docs/README:
+    - memory_usage()
+    - keep_shap_pos_label_only()
+    - set_X_row_func, etc
 - add cats_topx cats_sort to docs
 - add hide_wizard and wizard to docs
 - add hide_poweredby to docs
 - add Docker deploy example (from issue)
 - document register_components no longer necessary
 - add new whatif parameters to README and docs
-- add section to README on storing and loading explainer/dashboard from file/config
+- add section to docs and README on storing and loading explainer/dashboard from file/config
 
 - retake screenshots of components as cards
 - Add type hints:
diff --git a/docs/source/cli.rst b/docs/source/cli.rst
index 17fc511..2457aa5 100644
--- a/docs/source/cli.rst
+++ b/docs/source/cli.rst
@@ -1,5 +1,5 @@
-``explainerdashboard`` CLI
-**************************
+explainerdashboard CLI
+**********************
 
 The library comes with a ``explainerdashboard`` command line tool (CLI) that
 you can use to build and run explainerdashboards from your terminal. 
@@ -23,7 +23,8 @@ from the command line by running::
 
     $ explainerdashboard run explainer.joblib
 
-Or to run on specific port, not launch a browser or show help::
+The CLI uses the ``waitress`` web server by default to run your dashboard.
+To run on a specific port, not launch a browser or show help::
 
     $ explainerdashboard run explainer.joblib --port 8051
     $ explainerdashboard run explainer.joblib --no-browser
diff --git a/docs/source/components.rst b/docs/source/components.rst
index f58f1fd..b8a5226 100644
--- a/docs/source/components.rst
+++ b/docs/source/components.rst
@@ -26,8 +26,8 @@ but with no group cats or highlight toggle, and initial feature set to 'Fare'::
 
    class CustomDashboard(ExplainerComponent):
       def __init__(self, explainer, title="Custom Dashboard", name="None"):
-         super().__init__(explainer, title)
-         self.shap_dependence = ShapDependenceComponent(explainer, 
+         super().__init__(explainer, title, name=name)
+         self.shap_dependence = ShapDependenceComponent(explainer, name=self.name+"dep",
                             hide_title=True, hide_cats=True, hide_highlight=True,
                             cats=True, col='Fare')
 
@@ -50,7 +50,7 @@ selectors of all subcomponents.
 ExplainerComponent
 ------------------
 
-.. autoclass:: explainerdashboard.dashboard_components.dashboard_methods.ExplainerComponent
+.. autoclass:: explainerdashboard.dashboard_methods.ExplainerComponent
    :members:
 
 
@@ -156,7 +156,7 @@ PdpComponent
 FeatureInputComponent
 ---------------------
 
-.. image:: screenshots/components/feature_inpt.png
+.. image:: screenshots/components/feature_input.png
 
 Using the feature input component you can edit the features for a particular
 observation in order to check what would be the change in prediction if you
@@ -299,7 +299,7 @@ ResidualsComponent
    :members:
 
 RegressionVsColComponent
------------------------
+------------------------
 
 .. image:: screenshots/components/reg_vs_col.png
 
@@ -349,7 +349,7 @@ DecisionPathGraphComponent
 
 
 
-connectors
+Connectors
 ==========
 
 
@@ -364,7 +364,7 @@ PosLabelSelector
 
 .. image:: screenshots/components/poslabel_selector.png
 
-.. autoclass:: explainerdashboard.dashboard_components.dashboard_methods.PosLabelSelector
+.. autoclass:: explainerdashboard.dashboard_methods.PosLabelSelector
    :members:
 
 PosLabelConnector
diff --git a/docs/source/custom.rst b/docs/source/custom.rst
index 2b25d24..be44172 100644
--- a/docs/source/custom.rst
+++ b/docs/source/custom.rst
@@ -84,7 +84,7 @@ cats toggle will be hidden on every component that has one::
 
     ExplainerDashboard(explainer, 
         no_permutations=True, # do not show or calculate permutation importances
-        hide_cats=True, # hide the group cats toggles
+        hide_poweredby=True, # hide the 'powerered by: explainerdashboard' footer
         hide_depth=True, # hide the depth (no of features) dropdown
         hide_sort=True, # hide sort type dropdown in contributions graph/table
         hide_orientation=True, # hide orientation dropdown in contributions graph/table
@@ -111,18 +111,19 @@ Some examples of useful parameters to pass::
 
 
     ExplainerDashboard(explainer, 
-        higher_is_better=False, # flip green and red in contributions graph
+        index='Rugg, Miss. Emily', # initial index to display
         col='Fare', # initial feature in shap graphs
         color_col='Age', # color feature in shap dependence graph
         interact_col='Age', # interaction feature in shap interaction
-        cats=False, # do not group categorical onehot features
+        higher_is_better=False, # flip green and red in contributions graph
         depth=5, # only show top 5 features
         sort = 'low-to-high', # sort features from lowest shap to highest in contributions graph/table
         orientation='horizontal', # horizontal bars in contributions graph
-        index='Rugg, Miss. Emily', # initial index to display
+        cats_topx=3, # show only the top 3 categories 
+        cats_sort='shap', # sort categories by mean abs shap instead of 'freq' or 'alphabet'
         pdp_col='Fare', # initial pdp feature
         cutoff=0.8, # cutoff for classification plots
-        round=2 # rounding to apply to floats
+        round=2 # round floats to 2 digits
         )
 
 
@@ -149,16 +150,15 @@ but you want to hide a few toggles::
     from explainerdashboard.custom import *
 
     class CustomDashboard(ExplainerComponent):
-        def __init__(self, explainer, **kwargs):
+        def __init__(self, explainer, name=None):
             super().__init__(explainer, title="Custom Dashboard")
-            self.confusion = ConfusionMatrixComponent(explainer,
+            self.confusion = ConfusionMatrixComponent(explainer, name=self.name+"cm",
                                 hide_selector=True, hide_percentage=True,
                                 cutoff=0.75)
-            self.contrib = ShapContributionsGraphComponent(explainer,
+            self.contrib = ShapContributionsGraphComponent(explainer, name=self.name+"contrib",
                                 hide_selector=True, hide_cats=True, 
                                 hide_depth=True, hide_sort=True,
                                 index='Rugg, Miss. Emily')
-            self.register_components()
             
         def layout(self):
             return dbc.Container([
@@ -178,7 +178,8 @@ but you want to hide a few toggles::
                 ])
             ])
 
-    db = ExplainerDashboard(explainer, CustomDashboard, hide_header=True).run()
+    db = ExplainerDashboard(explainer, CustomDashboard, hide_header=True)
+    db.run()
 
 So you need to 
 
@@ -188,37 +189,45 @@ So you need to
 
 2. Derive a child class from ``ExplainerComponent``. 
 
-3. Call the init of the parent class with ``super().__init__(explainer, title)``. 
+3. Include ``explainer, name=None`` in your ``__init__()``.
 
-4. Instantiate the components that you wish to include as attributes in your ``__init__``: 
+4. Call the init of the parent class with ``super().__init__(explainer, title)``. 
+
+5. Instantiate the components that you wish to include as attributes in your ``__init__``: 
    ``self.confusion = ConfusionMatrixComponent(explainer)`` and 
    ``self.contrib = ShapContributionsGraphComponent(explainer)``
 
-5. Register these subcomponents by calling ``self.register_components()``
+6. Pass a unique name to each subcomponent, using the name of your component, 
+   e.g. ``name=self.name+"dep"``.
 
-6. Define a ``layout()`` method that returns a custom layout.
+7. Define a ``layout()`` method that returns a custom layout.
 
-7. Build your layout using ``html`` and bootstrap (``dbc``) elements and 
+8. Build your layout using ``html`` and bootstrap (``dbc``) elements and 
    include your components' layout in this overall layout with ``self.confusion.layout()``
    and ``self.contrib.layout()``.
 
-8. Pass the class to an ``ExplainerDashboard`` and ``run()` it. 
+9. Pass the class to an ``ExplainerDashboard`` and ``run()`` it. 
 
 
 You can find the list of all ``ExplainerComponents`` in the :ref:`documentation<ExplainerComponents>`.
 
 .. note::
-    To save on boilerplate code, parameters in the init will automagically be 
-    stored to attributes by ``super().__init__(explainer)``. So in the example below 
-    you do not have to explicitly call ``self.a = a`` in the init::
+    To save on boilerplate code, parameters in the ``__init__`` will automagically be 
+    stored to attributes by ``super().__init__(explainer, title)``. So in the example 
+    below you do not have to explicitly call ``self.a = a`` in the init::
 
         class CustomDashboard(ExplainerComponent):
-            def __init__(self, explainer, a=1):
+            def __init__(self, explainer, name=None, a=1):
                 super().__init__(explainer)
 
         custom = CustomDashboard(explainer)
         assert custom.a == 1
 
+    This includes the naming of the component itself, by setting ``name=None``, 
+    in the ``__init__``. ``ExplainerDashboard`` will then assign a unique 
+    name of your component to make sure that component `id`'s will not clash,
+    but will be consistent with multi worker or multi node deployments.
+
 Including ExplainerComponents in regular ``dash`` app
 -----------------------------------------------------
 
@@ -238,7 +247,7 @@ An ``ExplainerComponent`` can easily be included in regular `dash <https://dash.
 
 
 Constructing the layout
--------------------
+-----------------------
 
 You construct the layout using ``dash_bootstrap_components`` and
 ``dash_html_components``:
@@ -274,7 +283,10 @@ A more elaborate example is below where we include three components: the
 precision graph, the shap summary and the shap dependence component, and
 add explanatory text on either side of each component. The ``ShapSummaryDependenceConnector``
 connects a ShapSummaryComponent and a ShapDependenceComponent so that when you 
-select a feature in the summary, it automatically gets selected in the dependence plot::
+select a feature in the summary, it automatically gets selected in the dependence 
+plot. You can find other connectors such :ref:`IndexConnector<IndexConnector>`,
+:ref:`PosLabelConnector<PosLabelConnector>`, :ref:`CutoffConnector<CutoffConnector>`
+and :ref:`HighlightConnector<HighlightConnector>` in the :ref:`Connector documentation<Connectors>`::
 
     import dash_html_components as html
     import dash_bootstrap_components as dbc
@@ -283,18 +295,18 @@ select a feature in the summary, it automatically gets selected in the dependenc
     from explainerdashboard import ExplainerDashboard
 
     class CustomModelTab(ExplainerComponent):
-        def __init__(self, explainer):
+        def __init__(self, explainer, name=None):
             super().__init__(explainer, title="Titanic Explainer")
-            self.precision = PrecisionComponent(explainer, 
+            self.precision = PrecisionComponent(explainer, name=self.name+"precision",
                                     hide_cutoff=True, hide_binsize=True, 
                                     hide_binmethod=True, hide_multiclass=True,
                                     hide_selector=True,
                                     cutoff=None)
-            self.shap_summary = ShapSummaryComponent(explainer, 
+            self.shap_summary = ShapSummaryComponent(explainer, name=self.name+"summary",
                                     hide_title=True, hide_selector=True,
                                     hide_depth=True, depth=8, 
                                     hide_cats=True, cats=True)
-            self.shap_dependence = ShapDependenceComponent(explainer, 
+            self.shap_dependence = ShapDependenceComponent(explainer, name=self.name+"dep",
                                     hide_title=True, hide_selector=True,
                                     hide_cats=True, cats=True, 
                                     hide_index=True,
@@ -302,8 +314,6 @@ select a feature in the summary, it automatically gets selected in the dependenc
             self.connector = ShapSummaryDependenceConnector(
                     self.shap_summary, self.shap_dependence)
             
-            self.register_components()
-            
         def layout(self):
             return dbc.Container([
                 html.H1("Titanic Explainer"),
@@ -362,6 +372,21 @@ select a feature in the summary, it automatically gets selected in the dependenc
     
     ExplainerDashboard(explainer, CustomModelTab, hide_header=True).run()
 
+.. note::
+    All subcomponents that are defined as attibutes in the ``__init__``, either
+    explicitly or automagically through the ``super().__init__``, and 
+    hence are added to ``self.__dict__`` also automatically get their callbacks 
+    registered when you call ``.register_callbacks(app)`` on the parent component. 
+    If you would like to exclude that (for example because the subcomponent has 
+    already been initialized elsewhere and you just need to store the reference),
+    then you can exclude it with ``exclude_callbacks(components)``::
+
+        class CustomDashboard(ExplainerComponent):
+            def __init__(self, explainer, name=None, feature_input_component):
+                super().__init__(explainer)
+                self.exclude_callbacks(self.feature_input_component)
+
+
 
 CustomPredictionsTab
 ^^^^^^^^^^^^^^^^^^^^
@@ -375,31 +400,28 @@ custom `dbc theme <https://dash-bootstrap-components.opensource.faculty.ai/docs/
 called FLATLY as a custom css file::
 
     class CustomPredictionsTab(ExplainerComponent):
-        def __init__(self, explainer):
+        def __init__(self, explainer, name=None):
             super().__init__(explainer, title="Predictions")
             
-            self.index = ClassifierRandomIndexComponent(explainer, 
+            self.index = ClassifierRandomIndexComponent(explainer, name=self.name+"index",
                                                         hide_title=True, hide_index=False, 
                                                         hide_slider=True, hide_labels=True, 
                                                         hide_pred_or_perc=True, 
                                                         hide_selector=True, hide_button=False)
             
-            self.contributions = ShapContributionsGraphComponent(explainer, 
+            self.contributions = ShapContributionsGraphComponent(explainer, name=self.name+"contrib",
                                                                 hide_title=True, hide_index=True, 
                                                                 hide_depth=True, hide_sort=True, 
                                                                 hide_orientation=True, hide_cats=True, 
                                                                 hide_selector=True,  
                                                                 sort='importance')
             
-            self.trees = DecisionTreesComponent(explainer, 
+            self.trees = DecisionTreesComponent(explainer, name=self.name+"trees",
                                                 hide_title=True, hide_index=True, 
                                                 hide_highlight=True, hide_selector=True)
 
-            
             self.connector = IndexConnector(self.index, [self.contributions, self.trees])
             
-            self.register_components()
-            
         def layout(self):
             return dbc.Container([
                 dbc.Row([
@@ -427,7 +449,7 @@ called FLATLY as a custom css file::
     ExplainerDashboard(explainer, [CustomModelTab, CustomPredictionsTab], 
                    title='Titanic Explainer',
                    header_hide_selector=True, 
-                   external_stylesheets=[dbc.themes.FLATLY]).run()
+                   bootstrap=dbc.themes.FLATLY).run()
 
 
 Below you can see the result. (also note how the component title shows up as
diff --git a/docs/source/dashboards.rst b/docs/source/dashboards.rst
index 126b86b..dd1e7c9 100644
--- a/docs/source/dashboards.rst
+++ b/docs/source/dashboards.rst
@@ -37,9 +37,10 @@ switch off individual tabs with their respective booleans
       decision_trees=True
    ).run()
 
-Warning: the interactions tab can take quite some time to compute, 
-so you may want to switch it off if you're not particularly 
-interested in interaction effects between features.
+.. note:: 
+   The interactions tab can take quite some time to compute, 
+   so you would usually switch it off if you're not particularly 
+   interested in interaction effects between features.
 
 Starting a single tab dashboard
 -------------------------------
@@ -100,8 +101,10 @@ jupyterlab pane, or ``mode='external'`` which runs the dashboard in a seperate t
    ExplainerDashboard(explainer, mode='external').run()
 
 The parameters ``width`` and ``height`` determine the size of the output area in pixels.
-(default to ``1000x800``). You can kill a JupyterDash based dashboard with
-``ExplainerDashboard().terminate(port)``.
+(default to ``1000x800``). You can kill a JupyterDash based dashboard with the 
+``classmethod`` ``.terminate(port)``::
+
+   ExplainerDashboard().terminate(8050)
 
 .. image:: screenshots/inline_example.png
 
@@ -118,7 +121,7 @@ a convenient ``themes`` module with urls to the most popular themes, e.g.::
    from dash_bootstrap_components.themes import FLATLY 
 
    ExplainerDashboard(explainer, ["contributions", "model_summary"], 
-                   boostrap=FLATLY, mode='external').run()
+                   bootstrap=FLATLY, mode='external').run()
 
 Example of a nice flat black and white theme called "FLATLY":
 
@@ -134,8 +137,8 @@ For multiclass classification models it is convenient to be able to set the
 positive class for the entire dashboard with the dropdown in the header.
 However if you wish to this dropdown selector you can simply pass ``header_hide_selector=True``.
 
-In order to also hide the title itself pass ``header_hide_title=True``. Or to 
-hide the entire header ``hide_header=True``. 
+In order to hide the title itself pass ``header_hide_title=True``. Or to hide 
+the entire header pass ``hide_header=True``. 
 
 Choosing a port
 ---------------
@@ -153,7 +156,7 @@ Exposing the flask server
 -------------------------
 
 When running a dashboard in production you probably want to run it with some 
-heavier web server like ``gunicorn``. For this you need to expose the flask 
+heavier web server like ``gunicorn`` or ``waitress``. For this you need to expose the flask 
 server. This can be found in ``self.app.server``, or with the ``flask_server()`` method.
 
 If you define your dashboard in dashboard.py then you can expose your dashboard
@@ -167,6 +170,10 @@ You then start the dashboard on the commandline with::
 
    gunicorn dashboard:server
 
+Or if you are on windows::
+
+   waitress-serve dashboard:server
+
 See the deployment section for more info on using explainerdashboard in production.
 
 ExplainerDashboard documentation
diff --git a/docs/source/deployment.rst b/docs/source/deployment.rst
index 8dbab2b..83d93e4 100644
--- a/docs/source/deployment.rst
+++ b/docs/source/deployment.rst
@@ -62,7 +62,7 @@ With waitress you would call::
 .. highlight:: python
 
 .. warning::
-    If you use multiple workers you must pass the ``--preload`` flag to gunicorn!
+    If you use multiple workers you must pass the `` --preload`` flag to gunicorn!
     (this is also the case for Heroku deployments for example). Otherwise each
     worker builds its own dashboard app, with its own random ``uuid`` strings
     at the end of component ``id``s, and then the various workers will not agree
@@ -77,31 +77,31 @@ a dashboard with two specific tabs and a particular title, you would store the
 explainer and dashboard settings like this::
 
     from explainerdashboard import ClassifierExplainer, ExplainerDashboard
-    from explainerdashboard.dashboard_tabs import ShapDependenceTab, ImportancesTab
+    from explainerdashboard.custom import ShapDependenceComposite, ImportancesComposite
 
     explainer = ClassifierExplainer(model, X, y, labels=['Not Survived', 'Survived'])
-    explainer.dump("explainer.joblib")
+    db = ExplainerDashboard(explainer, [ShapDependenceComposite, ImportancesComposite], title="Custom Title")
 
-    db = ExplainerDashboard(explainer, [ShapDependenceTab, ImportancesTab], title="Custom Title")
-    db.to_yaml("dashboard.yaml", explainerfile="explainer.joblib")
+    db.to_yaml("dashboard.yaml", explainerfile="explainer.joblib", dump_explainer=True)
 
 And then start the ``ExplainerDashboard`` directly from the config file in ``dashboard.py``::
 
     from explainerdashboard import ExplainerDashboard
 
     db = ExplainerDashboard.from_config("dashboard.yaml")
-    app = db.app.server
-
+    app = db.flask_server()
 
-You can also pass additional config ``**kwargs`` when you load from config::
+You can also pass additional config ``**kwargs`` to override the default or
+configured settings when you load from config::
 
-    db = ExplainerDashboard.from_config("dashboard.yaml", higher_is_better=False)
+    db = ExplainerDashboard.from_config("dashboard.yaml", title="Better Title")
 
 
 Or first load the explainer and then the dashboard config::
 
     explainer = ClassifierExplainer.from_file("explainer.joblib")
     db = ExplainerDashboard.from_config(explainer, "dashboard.yaml")
+    app = db.flask_server()
 
 
 .. highlight:: bash
@@ -228,9 +228,10 @@ at `titanicexplainer.herokuapp.com <http://titanicexplainer.herokuapp.com>`_ )
 there are a number of issues to keep in mind.
 
 First of all you need to add ``explainerdashboard`` and ``gunicorn`` to 
-``requirements.txt`` (pinning is recommended)::
+``requirements.txt`` (pinning is recommended to force a new build of your environment
+whenever you update the version)::
 
-    explainerdashboard==0.2.15
+    explainerdashboard==0.2.20.1
     gunicorn
 
 Select a python runtime compatible with the version that you used to pickle
@@ -309,6 +310,11 @@ and prevent random users from accessing the details of your model dashboard::
 
     ExplainerDashboard(explainer, logins=[['login1', 'password1'], ['login2', 'password2']]).run()
 
+Or for a an :ref:`ExplainerHub<ExplainerHub>`:
+
+    hub = ExplainerHub([db1, db2], logins=[['login1', 'password1'], ['login2', 'password2']])
+
 Make sure not to check these login/password pairs into version control though, 
-but store them somewhere safe! 
+but store them somewhere safe! ExplainerHub stores passwords into a hashed 
+format for safety.
 
diff --git a/docs/source/explainers.rst b/docs/source/explainers.rst
index fd9ea41..c9c0c18 100644
--- a/docs/source/explainers.rst
+++ b/docs/source/explainers.rst
@@ -94,9 +94,7 @@ And you can also combine the two methods::
 
 You can now use these categorical features directly as input for plotting methods, e.g. 
 ``explainer.plot_dependence("Deck")``, which will now generate violin plots
-instead of the default scatter plots. For other methods you can usually pass
-a parameter ``cats=True``, to indicate that you'd like to group the categorical
-features in your output. 
+instead of the default scatter plots. 
 
 idxs
 ----
@@ -140,28 +138,28 @@ the ``cats`` parameter, you can also give descriptions of these groups, e.g::
         })
 
 
-
 target
 ------
 
-Name of the target variable. By default the name of the pd.Series ``y`` is used.
-Can be overriden::
+Name of the target variable. By default the name of the ``y`` (``y.name``) is used 
+if ``y`` is a ``pd.Series``, else it defaults to ``'target'``, bu this can be overriden::
 
     ClassifierExplainer(model, X, y, target="Survival")
 
 labels
 ------
-For ``ClassifierExplainer``: The outcome variables for a classification  ``y`` are assumed to 
+For ``ClassifierExplainer`` only: The outcome variables for a classification  ``y`` are assumed to 
 be encoded ``0, 1 (, 2, 3, ...)`` You can assign string labels by passing e.g.
- ``labels=['Not survived', 'Survived']``::
+``labels=['Not survived', 'Survived']``::
 
     ClassifierExplainer(model, X, y, labels=['Not survived', 'Survived'])
 
 units
 -----
 
-For ``RegressionExplainer``: the units of the ``y`` variable. E.g. if the model is predicting
-house prices in dollars you can set ``units='$'``. This will be displayed along
+For ``RegressionExplainer`` only: the units of the ``y`` variable. E.g. if the model is predicting
+house prices in dollars you can set ``units='$'``. If it is predicting maintenance
+time you can set ``units='hours'``, etc. This will then be displayed along
 the axis of various plots::
 
     RegressionExplainer(model, X, y, units="$")
@@ -170,12 +168,12 @@ the axis of various plots::
 X_background
 ------------
 
-Some models like sklearn ``LogisticRegression`` (as well as certain gradienst boosting 
+Some models like sklearn ``LogisticRegression`` (as well as certain gradient boosting 
 algorithms such as `xgboost` in probability space) need a background dataset to calculate shap values. 
 These can be passed as ``X_background``. If you don't pass an X_background, Explainer 
-uses X instead but gives off a warning. (you want to limit the size of X_background
-in order to keep the SHAP calculations from getting too slow). Usually a representative 
-background dataset of a couple of hunderd rows should be enough to get decent shap values.
+uses X instead but gives off a warning. (You want to limit the size of X_background
+in order to keep the SHAP calculations from getting too slow. Usually a representative 
+background dataset of a couple of hunderd rows should be enough to get decent shap values.)
 
 model_output
 ------------
@@ -183,8 +181,8 @@ model_output
 By default ``model_output`` for classifiers is set to ``"probability"``, as this 
 is more intuitively explainable to non data scientist stakeholders.
 However certain models (e.g. ``XGBClassifier``, ``LGBMCLassifier``, ``CatBoostClassifier``), 
-need a background dataset X_background to calculate shap values in probability 
-space, and are not able to calculate shap interaction values in probability space.
+need a background dataset ``X_background`` to calculate SHAP values in probability 
+space, and are not able to calculate shap interaction values in probability space at all.
 Therefore you can also pass model_output='logodds', in which case shap values 
 get calculated faster and interaction effects can be studied. Now you just need
 to explain to your stakeholders what logodds are :)
@@ -197,7 +195,8 @@ based on the model what kind of shap explainer it needs: e.g.
 ``shap.TreeExplainer(...)``, ``shap.LinearExplainer(...)``, etc.
 
 In case the guess fails or you'd like to override it, you can set it manually:
-e.g. ``shap='tree'``, ``shap='linear'``, ``shap='kernel'``, ``shap='deep'``, etc.
+e.g. ``shap='tree'`` for ``shap.TreeExplainer``, ``shap='linear'`` for ``shap.LinearExplainer``, 
+``shap='kernel'`` for ``shap.KernelExplainer``, ``shap='deep'`` for ``shap.DeepExplainer``, etc.
 
 model_output, X_background example
 ----------------------------------
@@ -243,26 +242,24 @@ The abstract base class ``BaseExplainer`` defines most of the functionality
 such as feature importances (both SHAP and permutation based), SHAP values, SHAP interaction values
 partial dependences, individual contributions, etc. Along with a number of convenient
 plotting methods. In practice you will use ``ClassifierExplainer`` 
-or ``RegressionExplainer``, however they both inherit all of these basic methods.
-
+or ``RegressionExplainer``, however they both inherit all of these basic methods::
 
-The BaseExplainer already provides a number of convenient plotting methods::
 
-    plot_importances(kind='shap', topx=None, cats=False, round=3, pos_label=None)
-    plot_contributions(index, cats=True, topx=None, cutoff=None, round=2, pos_label=None)
-    plot_shap_detailed(topx=None, cats=False, pos_label=None)
-    plot_interactions_detailed(col, topx=None, cats=False, pos_label=None)
-    plot_dependence(col, color_col=None, highlight_idx=None,pos_label=None)
+    plot_importances(kind='shap', topx=None, round=3, pos_label=None)
+    plot_contributions(index, topx=None, cutoff=None, round=2, pos_label=None)
+    plot_shap_detailed(topx=None, pos_label=None)
+    plot_interactions_detailed(col, topx=None, pos_label=None)
+    plot_dependence(col, color_col=None, highlight_idx=None, pos_label=None)
     plot_interaction(interact_col, highlight_idx=None, pos_label=None)
     plot_pdp(col, index=None, drop_na=True, sample=100, num_grid_lines=100, num_grid_points=10, pos_label=None)
 
 example code::
 
     explainer = ClassifierExplainer(model, X, y, cats=['Sex', 'Deck', 'Embarked']) 
-    explainer.plot_importances(cats=True)
+    explainer.plot_importances()
     explainer.plot_contributions(index=0, topx=5)
     explainer.plot_dependence("Fare")
-    explainer.plot_interaction(", "PassengerClass")
+    explainer.plot_interaction("Embarked", "PassengerClass")
     explainer.plot_pdp("Sex", index=0)
 
 plot_importances
@@ -273,33 +270,37 @@ plot_importances
 plot_shap_contributions
 ^^^^^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.BaseExplainer.plot_shap_contributions
+.. automethod:: explainerdashboard.explainers.BaseExplainer.plot_contributions
 
 plot_shap_dependence
 ^^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.BaseExplainer.plot_shap_dependence
+.. automethod:: explainerdashboard.explainers.BaseExplainer.plot_dependence
 
 plot_shap_interaction
 ^^^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.BaseExplainer.plot_shap_interaction
+.. automethod:: explainerdashboard.explainers.BaseExplainer.plot_interaction
 
 plot_pdp
 ^^^^^^^^
 
 .. automethod:: explainerdashboard.explainers.BaseExplainer.plot_pdp
 
-plot_shap_summary
-^^^^^^^^^^^^^^^^^
+plot_shap_detailed
+^^^^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.BaseExplainer.plot_shap_summary
+.. automethod:: explainerdashboard.explainers.BaseExplainer.plot_shap_detailed
 
-plot_shap_interaction_summary
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+plot_shap_interactions_importance
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.BaseExplainer.plot_shap_interaction_summary
+.. automethod:: explainerdashboard.explainers.BaseExplainer.plot_interactions_importance
 
+plot_shap_interactions_detailed
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. automethod:: explainerdashboard.explainers.BaseExplainer.plot_interactions_detailed
 
 
 Classifier Plots
@@ -332,6 +333,7 @@ plot_precision
 
 .. automethod:: explainerdashboard.explainers.ClassifierExplainer.plot_precision
 
+
 plot_cumulative_precision
 ^^^^^^^^^^^^^^^^^^^^^^^^^
 
@@ -420,18 +422,18 @@ plot_trees
 
 .. automethod:: explainerdashboard.explainers.RandomForestExplainer.plot_trees
 
-decision_path
-^^^^^^^^^^^^^
+decisiontree
+^^^^^^^^^^^^
 
 .. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisiontree
 
-decision_path_file
-^^^^^^^^^^^^^^^^^^
+decisiontree_file
+^^^^^^^^^^^^^^^^^
 
 .. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisiontree_file
 
-decision_path_encoded
-^^^^^^^^^^^^^^^^^^^^^
+decisiontree_encoded
+^^^^^^^^^^^^^^^^^^^^
 
 .. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisiontree_encoded
 
@@ -446,9 +448,9 @@ Base outputs
 Some other useful tables and outputs you can get out of the explainer::
 
     metrics()
-    mean_abs_shap_df(topx=None, cutoff=None, cats=False, pos_label=None)
-    permutation_importances_df(topx=None, cutoff=None, cats=False, pos_label=None)
-    importances_df(kind="shap", topx=None, cutoff=None, cats=False, pos_label=None)
+    get_mean_abs_shap_df(topx=None, cutoff=None, cats=False, pos_label=None)
+    get_permutation_importances_df(topx=None, cutoff=None, cats=False, pos_label=None)
+    get_importances_df(kind="shap", topx=None, cutoff=None, cats=False, pos_label=None)
     contrib_df(index, cats=True, topx=None, cutoff=None, pos_label=None)
     contrib_summary_df(index, cats=True, topx=None, cutoff=None, round=2, pos_label=None)
     interactions_df(col, cats=False, topx=None, cutoff=None, pos_label=None)
@@ -459,25 +461,25 @@ metrics
 .. automethod:: explainerdashboard.explainers.BaseExplainer.metrics
 
 metrics_descriptions
-^^^^^^^^^^^^^^^^
+^^^^^^^^^^^^^^^^^^^^
 
 .. automethod:: explainerdashboard.explainers.ClassifierExplainer.metrics_descriptions
 .. automethod:: explainerdashboard.explainers.RegressionExplainer.metrics_descriptions
 
-mean_abs_shap_df
-^^^^^^^^^^^^^^^^
+get_mean_abs_shap_df
+^^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.BaseExplainer.mean_abs_shap_df
+.. automethod:: explainerdashboard.explainers.BaseExplainer.get_mean_abs_shap_df
 
-permutation_importances_df
-^^^^^^^^^^^^^^^^^^^^^^^^^^
+get_permutation_importances_df
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.BaseExplainer.permutation_importances_df
+.. automethod:: explainerdashboard.explainers.BaseExplainer.get_permutation_importances_df
 
-importances_df
-^^^^^^^^^^^^^^
+get_importances_df
+^^^^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.BaseExplainer.importances_df
+.. automethod:: explainerdashboard.explainers.BaseExplainer.get_importances_df
 
 contrib_df
 ^^^^^^^^^^
@@ -503,7 +505,7 @@ For ``ClassifierExplainer`` in addition::
 
     random_index(y_values=None, return_str=False,pred_proba_min=None, pred_proba_max=None,
                     pred_percentile_min=None, pred_percentile_max=None, pos_label=None)
-    prediction_result_markdown(index, include_percentile=True, round=2, pos_label=None)
+    prediction_result_df(index, pos_label=None)
     cutoff_from_percentile(percentile, pos_label=None)
     precision_df(bin_size=None, quantiles=None, multiclass=False, round=3, pos_label=None)
     lift_curve_df(pos_label=None)
@@ -514,16 +516,17 @@ random_index
 
 .. automethod:: explainerdashboard.explainers.ClassifierExplainer.random_index
 
-prediction_result_markdown
-^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-.. automethod:: explainerdashboard.explainers.ClassifierExplainer.prediction_result_markdown
 
 cutoff_from_percentile
 ^^^^^^^^^^^^^^^^^^^^^^
 
 .. automethod:: explainerdashboard.explainers.ClassifierExplainer.cutoff_from_percentile
 
+percentile_from_cutoff
+^^^^^^^^^^^^^^^^^^^^^^
+
+.. automethod:: explainerdashboard.explainers.ClassifierExplainer.percentile_from_cutoff
+
 precision_df
 ^^^^^^^^^^^^
 
@@ -541,16 +544,11 @@ Regression outputs
 
 For ``RegressionExplainer``::
 
-    prediction_result_markdown(index, round=2)
     random_index(y_min=None, y_max=None, pred_min=None, pred_max=None, 
                     residuals_min=None, residuals_max=None,
                     abs_residuals_min=None, abs_residuals_max=None,
                     return_str=False)
 
-prediction_result_markdown
-^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-.. automethod:: explainerdashboard.explainers.RegressionExplainer.prediction_result_markdown
 
 random_index
 ^^^^^^^^^^^^
@@ -572,27 +570,27 @@ with the following additional methods::
     decision_path(tree_idx, index)
 
 
-decisiontree_df
+decisionpath_df
 ^^^^^^^^^^^^^^^
 
 .. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisionpath_df
 
-decisiontree_summary_df
+decisionpath_summary_df
 ^^^^^^^^^^^^^^^^^^^^^^^
 
 .. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisionpath_summary_df
 
-decision_path_file
+decisiontree_file
 ^^^^^^^^^^^^^^^^^^
 
 .. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisiontree_file
 
-decision_path_encoded
+decisiontree_encoded
 ^^^^^^^^^^^^^^^^^^^^^
 
 .. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisiontree_encoded
 
-decision_path
+decisiontree
 ^^^^^^^^^^^^^
 
 .. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisiontree
@@ -607,9 +605,10 @@ property is calculated once, it is stored for next time. So the first time
 you invoke a plot involving shap values may take a while to calculate. The next
 time will be basically instant. 
 
-You can access these properties directly from the explainer, e.g. ``explainer.shap_values``. 
+You can access these properties directly from the explainer, e.g. ``explainer.shap_values_df()``. 
 For classifier models if you want values for a particular ``pos_label`` you can
-pass this (int) label ``explainer.shap_values(0)`` would get the shap values for the 0'th class.
+pass this label ``explainer.shap_values_df(0)`` would get the shap values for 
+the 0'th class label.
 
 In order to calculate all properties of the explainer at once, you can call
 ``explainer.calculate_properties()``. (``ExplainerComponents`` have a similar method
@@ -620,22 +619,19 @@ The various properties are::
 
     explainer.preds
     explainer.pred_percentiles
-    explainer.permutation_importances
-    explainer.permutation_importances_cats
-    explainer.shap_base_value
-    explainer.shap_values
-    explainer.shap_values_cats
+    explainer.permutation_importances(pos_label)
+    explainer.mean_abs_shap_df(pos_label)
+    explainer.shap_base_value(pos_label)
+    explainer.shap_values_df(pos_label)
     explainer.shap_interaction_values
-    explainer.shap_interaction_values_cats
-    explainer.mean_abs_shap
-    explainer.mean_abs_shap_cats
+    
 
 For ``ClassifierExplainer``::
 
     explainer.y_binary
     explainer.pred_probas_raw
     explainer.pred_percentiles_raw
-    explainer.pred_probas
+    explainer.pred_probas(pos_label)
 
 For ``RegressionExplainer``::
 
@@ -655,8 +651,8 @@ the various classes.
 
 You can pass a parameter ``pos_label`` to almost every property or method, to get
 the output for that specific positive label. If you don't pass a ``pos_label`` 
-manually to a specific method, the global ``pos_label`` will be used. You can set
-this directly on the explainer (even us str labels if you've set these)::
+manually to a specific method, the global ``self.pos_label`` will be used. You can set
+this directly on the explainer (even us str labels if you have set these)::
 
     explainer.pos_label = 0
     explainer.plot_dependence("Fare") # will show plot for pos_label=0
@@ -673,9 +669,9 @@ BaseExplainer
 =============
 
 .. autoclass:: explainerdashboard.explainers.BaseExplainer
-   :members: mean_abs_shap_df, permutation_importances_df, importances_df, contrib_df, to_sql,
-            plot_importances, plot_shap_contributions, plot_shap_summary, 
-            plot_shap_interaction_summary, plot_shap_dependence, plot_shap_interaction, plot_pdp
+   :members: get_mean_abs_shap_df, get_permutation_importances_df, get_importances_df, contrib_df, 
+            plot_importances, plot_contributions, plot_shap_detailed, 
+            plot_interactions_detailed, plot_interactions_importances, plot_dependence, plot_interaction, plot_pdp
    :member-order: bysource
 
 ClassifierExplainer
@@ -709,8 +705,8 @@ You can pass ``units`` as an additional parameter for the units of the target va
 More examples in the `notebook on the github repo. <https://github.com/oegedijk/explainerdashboard/blob/master/explainer_examples.ipynb>`_
 
 .. autoclass:: explainerdashboard.explainers.RegressionExplainer
-   :members: random_index, residuals, metrics, prediction_result_markdown,
-            plot_predicted_vs_actual, plot_residuals,  plot_residuals_vs_feature
+   :members: random_index, residuals, metrics, plot_predicted_vs_actual, 
+                plot_residuals,  plot_residuals_vs_feature
    :member-order: bysource
    :noindex:
 
@@ -726,14 +722,13 @@ the average off. This Mixin class will be automatically included
 whenever you pass a ``RandomForestClassifier`` or ``RandomForestRegressor`` model.
 
 .. autoclass:: explainerdashboard.explainers.RandomForestExplainer
-   :members: decisiontree_df, decisiontree_summary_df, plot_trees, decision_path
+   :members: decisionpath_df, decisionpath_summary_df, plot_trees, decisiontree, decisiontree_file, decisiontree_encoded
    :member-order: bysource
    :exclude-members: 
    :noindex:
 
 
 
-
 XGBExplainer
 ============
 
@@ -746,7 +741,7 @@ whenever you pass a ``XGBClassifier`` or ``XGBRegressor`` model.
 
 
 .. autoclass:: explainerdashboard.explainers.XGBExplainer
-   :members: decisiontree_df, decisiontree_summary_df, plot_trees, decision_path
+   :members: decisionpath_df, decisionpath_summary_df, plot_trees, decisiontree, decisiontree_file, decisiontree_encoded
    :member-order: bysource
    :exclude-members: 
    :noindex:
diff --git a/docs/source/hub.rst b/docs/source/hub.rst
index 956b91e..2aecbf4 100644
--- a/docs/source/hub.rst
+++ b/docs/source/hub.rst
@@ -1,5 +1,5 @@
-ExplainerHub (beta)
-*******************
+ExplainerHub
+************
 
 
 If you are hosting multiple ``ExplainerDashboards`` it becomes convenient 
@@ -47,11 +47,11 @@ Changing size, theme, etc
 
 By default the hub fills the entire width of the browser, you can make it more slim
 by passing ``fluid=False``. You can also pass other bootstrap themes: 
-``bootstrap=dbc.themes.SKETCHY``. You can adjust the size of the iFrame with e.g. 
+``bootstrap=dbc.themes.SKETCHY``. You can adjust the size of the iFrame with 
 ``min_height=2000``.
 
 You can also build your own front end if you want. If you pass ``no_index=True``,
-the index page and navbars will not get loaded, while the dashboards are still
+the index page and navbars routes will not get loaded, while the dashboards are still
 loaded on their respective routes. E.g.::
 
     hub = ExplainerHub([db1, db2], no_index=True)
diff --git a/docs/source/index.rst b/docs/source/index.rst
index b6fa35a..cdf5814 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -7,12 +7,12 @@ Summary
 ``explainerdashboard`` is a library for quickly building interactive dashboards
 for analyzing and explaining the predictions and workings of 
 (scikit-learn compatible) machine learning models, including
-xgboost, catboost and lightgbm.
+xgboost, catboost and lightgbm. This makes your model transparant and explainable
+with just two lines of code. 
 
 It allows you to investigate SHAP values, permutation importances, 
 interaction effects, partial dependence plots, all kinds of performance plots,
-and even individual trees in a random forest by deploying an interactive 
-dashboard with just two lines of code. With ``explainerdashboard`` any data 
+and even individual decision trees inside a random forest. With ``explainerdashboard`` any data 
 scientist can create an interactive explainable AI web app in minutes, 
 without having to know anything about web development or deployment. 
 
@@ -27,7 +27,21 @@ You then pass this ``explainer`` object to an ``ExplainerDashboard`` and run it:
 
 .. image:: screenshots/screenshot.*
 
+You can host multiple ExplainerDashboard in an ``ExplainerHub`` by passing in a 
+list of dashboards::
 
+    db1 = ExplainerDashboard(explainer1)
+    db2 = ExplainerDashboard(explainer2)
+    hub = ExplainerHub([db1, db2])
+    hub.run()
+
+Each dashboard is hosted on it's own url path (e.g. ``localhost:8050/dashboard1``),
+and a front-end dashboard with links and descriptions for every dashboard is hosted
+at e.g. ``localhost:8050``:
+
+.. image:: screenshots/explainerhub.png
+
+See :ref:`ExplainerHub documentation<ExplainerHub>`
 
 InlineExplainer
 ===============
@@ -101,11 +115,10 @@ component::
     from explainerdashboard.custom import *
 
     class CustomDashboard(ExplainerComponent):
-        def __init__(self, explainer):
-            super().__init__(explainer)
-            self.dependence = ShapDependenceComponent(explainer, 
+        def __init__(self, explainer, name=None):
+            super().__init__(explainer, name=name)
+            self.dependence = ShapDependenceComponent(explainer, name=self.name+"dep",
                     hide_selector=True, hide_cats=True, hide_index=True, col="Fare")
-            self.register_components()
 
         def layout(self):
             return html.Div([self.dependence.layout()])
diff --git a/docs/source/inline.rst b/docs/source/inline.rst
index e4b63a9..9fcf5b4 100644
--- a/docs/source/inline.rst
+++ b/docs/source/inline.rst
@@ -55,14 +55,14 @@ the component in a separate tab ('external'), or running on a different port::
 
     InlineExplainer(explainer, mode='external', port=8051, width=1000, height=800).importances()
 
-Note:
-    You can run a component without instantiating the InlineExplainer first,
-    like for example ``InlineExplainer(explainer).importances()``, but then you
-    cannot inspect the kwargs and docstring of that particular component. 
-    So to inspect kwargs and docstring you would run::
-
-        ie = InlineExplainer(explainer)
-        ?ie.importances
+.. note::
+   You can run a component without instantiating the InlineExplainer first,
+   like for example ``InlineExplainer(explainer).importances()``, but then you
+   cannot inspect the kwargs and docstring of that particular component. 
+   So to inspect kwargs and docstring you would run::
+
+      ie = InlineExplainer(explainer)
+      ?ie.importances
 
 
 (or alternatively hit shift-tab in jupyter of course)
diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index d2f6b50..43ffc5c 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -57,6 +57,7 @@ def inner(self, *args, **kwargs):
         else:
             kwargs.update(dict(pos_label=self.pos_label))   
         return func(self, **kwargs)
+    inner.__doc__ = func.__doc__
     return inner
 
 class BaseExplainer(ABC):
@@ -2006,6 +2007,17 @@ def metrics(self, cutoff=0.5, pos_label=None):
 
     @insert_pos_label
     def metrics_descriptions(self, cutoff=0.5, round=3, pos_label=None):
+        """Returns a metrics dict with the value replaced with a
+        description/interpretation of the value
+
+        Args:
+            cutoff (float, optional): Cutoff for calculating the metrics. Defaults to 0.5.
+            round (int, optional): Round to apply to floats. Defaults to 3.
+            pos_label (None, optional): positive label. Defaults to None.
+
+        Returns:
+            dict
+        """
         metrics_dict = self.metrics(cutoff, pos_label)
         metrics_descriptions_dict = {}
         for k, v in metrics_dict.items():
@@ -2511,6 +2523,12 @@ def metrics(self):
         return metrics_dict
 
     def metrics_descriptions(self):
+        """Returns a metrics dict, with the metric values replaced by a descriptive
+        string, explaining/interpreting the value of the metric
+
+        Returns:
+            dict
+        """
         metrics_dict = self.metrics()
         metrics_descriptions_dict = {}
         for k, v in metrics_dict.items():

From d296c89973604e99a46911a03d6b6c29eeb1e896 Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Fri, 22 Jan 2021 14:36:27 +0100
Subject: [PATCH 14/28] adds not implemented errors

---
 RELEASE_NOTES.md                 | 1 -
 TODO.md                          | 7 +------
 custom_examples.ipynb            | 8 ++++----
 explainerdashboard/explainers.py | 8 ++++++++
 4 files changed, 13 insertions(+), 11 deletions(-)

diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index 573e520..26fcea2 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -21,7 +21,6 @@
 
 - Naming changes:
     - `BaseExplainer`:
-        
         - `importances_df()` -> `get_importances_df()`
         - `feature_permutations_df()` -> `get_feature_permutations_df()`
         - `self.get_int_idx(index)` -> `self.get_idx(index)`
diff --git a/TODO.md b/TODO.md
index 5463911..b264e0d 100644
--- a/TODO.md
+++ b/TODO.md
@@ -3,12 +3,8 @@
 
 ## Version 0.3:
 - check all register_dependencies()
-- add option drop encoded cols
-- add v03 check
-- add deprecation warnings for old methods
-- update tutorial notebooks
 - check InlineExplainer 
-- fix xgboost plot_trees y axis
+
 ## Bugs:
 
 
@@ -37,7 +33,6 @@
 ### Regression plots:
 
 
-
 ## Explainers:
 - pass n_jobs to pdp_isolate
 - add ExtraTrees and GradientBoostingClassifier to tree visualizers
diff --git a/custom_examples.ipynb b/custom_examples.ipynb
index 52d31dd..59fc1e0 100644
--- a/custom_examples.ipynb
+++ b/custom_examples.ipynb
@@ -457,19 +457,19 @@
    "outputs": [],
    "source": [
     "class CustomDashboard(ExplainerComponent):\n",
-    "    def __init__(self, explainer):\n",
+    "    def __init__(self, explainer, name=None):\n",
     "        super().__init__(explainer, title=\"Titanic Explainer\")\n",
     "        \n",
-    "        self.precision = PrecisionComponent(explainer, \n",
+    "        self.precision = PrecisionComponent(explainer, name=self.name+\"precision\",\n",
     "                                hide_cutoff=True, hide_binsize=True, \n",
     "                                hide_binmethod=True, hide_multiclass=True,\n",
     "                                hide_selector=True, hide_title=True, hide_footer=True,\n",
     "                                cutoff=None)\n",
-    "        self.shap_summary = ShapSummaryComponent(explainer, \n",
+    "        self.shap_summary = ShapSummaryComponent(explainer, name=self.name+\"summary\",\n",
     "                                hide_title=True, hide_selector=True,\n",
     "                                hide_depth=True, depth=8, \n",
     "                                hide_cats=True, cats=True)\n",
-    "        self.shap_dependence = ShapDependenceComponent(explainer, \n",
+    "        self.shap_dependence = ShapDependenceComponent(explainer, name=self.name+\"dependence\",\n",
     "                                hide_title=True, hide_selector=True,\n",
     "                                hide_cats=True, cats=True, \n",
     "                                hide_index=True,\n",
diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index 43ffc5c..9a7e527 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -1530,6 +1530,14 @@ def plot_pdp(self, col, index=None, X_row=None, drop_na=True, sample=100,
     def get_int_idx(*args, **kwargs):
         raise NotImplementedError("get_int_idx has been deprecated! Use get_idx() instead!")
 
+    @property
+    def importances_df(*args, **kwargs):
+        raise NotImplementedError("importances_df has been deprecated! Use get_importances_df() instead!")
+
+    @property
+    def feature_permutations_df(*args, **kwargs):
+        raise NotImplementedError("feature_permutations_df has been deprecated! Use get_feature_permutations_df() instead!")
+
     @property
     def shap_values(*args, **kwargs):
         raise NotImplementedError("shap_values has been deprecated! Use shap_values_df() instead!")

From af90f97c1fd486d49af7d85a4b5a1831ca1fdf25 Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Fri, 22 Jan 2021 16:43:09 +0100
Subject: [PATCH 15/28] namechange: plot_importance_detailed

---
 RELEASE_NOTES.md                              | 43 ++++++++++++++++---
 docs/source/explainers.rst                    |  8 ++--
 explainer_examples.ipynb                      |  4 +-
 .../dashboard_components/shap_components.py   |  2 +-
 explainerdashboard/explainers.py              |  4 +-
 tests/test_cats_only.py                       |  6 +--
 tests/test_classifier_base.py                 |  4 +-
 tests/test_multiclass.py                      |  4 +-
 tests/test_regression_base.py                 |  4 +-
 9 files changed, 54 insertions(+), 25 deletions(-)

diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index 26fcea2..1b41faa 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -2,6 +2,21 @@
 
 
 ## 0.3.0:
+This is a major release and comes with lots of breaking changes to the lower level 
+explainer API. The higherlevel `ExplainerComponent` and `ExplainerDashboard` API has not been
+changed however, except for the deprecation of the `cats` and `hide_cats` parameters.
+
+Explainers generated with version `explainerdashboard <= 0.2.20.1` will not work 
+with this version, so if you have stored explainers to disk you either have to 
+rebuild them, or downgrade back to `explainerdashboard==0.2.20.1`! (hope you 
+pinned your dependencies in production!)
+
+Main motivation for these breaking changes was to improve memory usage of the
+dashboards, especially in production. This lead to the deprecation of the
+dual cats grouped/not grouped functionality of the dashboard. Once I had committed
+to that breaking change, I decided to clean up the entire API and do all the 
+needed breaking changes at once. 
+
 
 ### Breaking Changes
 - onehot encoded features are now merged by default. This means that the `cats=True`
@@ -9,29 +24,39 @@
     toggle has been removed from all `ExplainerComponents`. This saves both
     on code complexity and memory usage. If you wish to see the see the individual
     contributions of onehot encoded columns, simply don't pass them to the 
-    `cats` parameter on construction.
-- Deprecated:
+    `cats` parameter upon construction.
+- Deprecated explainer attributes:
     - `BaseExplainer`:
         - `self.shap_values_cats`
         - `self.shap_interaction_values_cats`
+        - `permutation_importances_cats`
         - `self.get_dfs()`
+        - `formatted_contrib_df()`
         - `self.to_sql()`
+        - `self.check_cats()` *
+        - `equivalent_col`
     - `ClassifierExplainer`:
         - `get_prop_for_label`
 
-- Naming changes:
+- Naming changes to attributes:
     - `BaseExplainer`:
         - `importances_df()` -> `get_importances_df()`
         - `feature_permutations_df()` -> `get_feature_permutations_df()`
         - `self.get_int_idx(index)` -> `self.get_idx(index)`
+        - `self.importances_df()` -> `self.get_importances_df()`
         - `self.shap_values` -> `self.shap_values_df`
         - `plot_shap_contributions()` -> `plot_contributions()`
-        - `plot_shap_summary()` -> `plot_shap_detailed()`
+        - `plot_shap_summary()` -> `plot_importance_detailed()`
         - `plot_shap_dependence()` -> `plot_dependence()`
         - `plot_shap_interaction()` -> `plot_interaction()`
         - `plot_shap_interaction_summary()` -> `plot_interactions_detailed()`
         - `plot_interactions()` -> `plot_interactions_importance()`
-    -`TreeExplainers`:
+        - `n_features()` -> `n_features`
+        - `shap_top_interaction()` -> `top_shap_interactions` *
+        - `shap_interaction_values_by_col()` -> `shap_interactions_values_for_col()`
+    - `ClassifierExplainer`:
+        - `self.pred_probas` -> `self.pred_probas()`
+    -`RandomForestExplainer`/`XGBExplainer`:
         - `self.decision_trees` -> `self.shadow_trees`
         - `self.decisiontree_df()` -> `self.decisionpath_df()`
         - `self.decisiontree_summary_df()` -> `self.decisionpath_summary_df()`
@@ -49,12 +74,14 @@
 - added `get_index_list()`, `get_X_row(index)`, and `get_y(index)` methods.
     - these can be overridden with `.set_index_list_func()`, `.set_X_row_func()`
         and `.set_y_func()`.
-    - by overriding these functions you can sample observations from a database
-        or other storage.
+    - by overriding these functions you can for example sample observations 
+        from a database or other storage instead of from `X_test`, `y_test`.
 - added `max_cat_colors` parameters to `plot_shap_summary` and `plot_shap_dependence` and `plot_shap_interaction`
+    - prevents plotting getting slow with categorical features with many categories.
     - defaults to 5
     - can be set as `**kwarg` to `ExplainerDashboard`
 - adds category limits and sorting to `RegressionVsCol` component
+- adds property `X_merged` that gives a dataframe with onehot columns merged.
 
 ### Bug Fixes
 - shap dependence: when no point cloud, do not highlight!
@@ -63,6 +90,8 @@
 
 ### Improvements
 - saving `X.copy()`, instead of using a reference to `X`
+    - this would result in more memory usage in development
+        though, so you can `del X_test` to save memory.
 - encoding onehot columns as `np.int8` saving memory usage
 - encoding categorical features as `pd.category` saving memory usage
 - added base `TreeExplainer` class that `RandomForestExplainer` and `XGBExplainer` both derive from
diff --git a/docs/source/explainers.rst b/docs/source/explainers.rst
index c9c0c18..4edaedf 100644
--- a/docs/source/explainers.rst
+++ b/docs/source/explainers.rst
@@ -247,7 +247,7 @@ or ``RegressionExplainer``, however they both inherit all of these basic methods
 
     plot_importances(kind='shap', topx=None, round=3, pos_label=None)
     plot_contributions(index, topx=None, cutoff=None, round=2, pos_label=None)
-    plot_shap_detailed(topx=None, pos_label=None)
+    plot_importance_detailed(topx=None, pos_label=None)
     plot_interactions_detailed(col, topx=None, pos_label=None)
     plot_dependence(col, color_col=None, highlight_idx=None, pos_label=None)
     plot_interaction(interact_col, highlight_idx=None, pos_label=None)
@@ -287,10 +287,10 @@ plot_pdp
 
 .. automethod:: explainerdashboard.explainers.BaseExplainer.plot_pdp
 
-plot_shap_detailed
+plot_importance_detailed
 ^^^^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.BaseExplainer.plot_shap_detailed
+.. automethod:: explainerdashboard.explainers.BaseExplainer.plot_importance_detailed
 
 plot_shap_interactions_importance
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
@@ -670,7 +670,7 @@ BaseExplainer
 
 .. autoclass:: explainerdashboard.explainers.BaseExplainer
    :members: get_mean_abs_shap_df, get_permutation_importances_df, get_importances_df, contrib_df, 
-            plot_importances, plot_contributions, plot_shap_detailed, 
+            plot_importances, plot_contributions, plot_importance_detailed, 
             plot_interactions_detailed, plot_interactions_importances, plot_dependence, plot_interaction, plot_pdp
    :member-order: bysource
 
diff --git a/explainer_examples.ipynb b/explainer_examples.ipynb
index 469d33c..97c004b 100644
--- a/explainer_examples.ipynb
+++ b/explainer_examples.ipynb
@@ -7327,7 +7327,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_detailed(topx=10)"
+    "explainer.plot_importance_detailed(topx=10)"
    ]
   },
   {
@@ -55072,7 +55072,7 @@
     }
    ],
    "source": [
-    "explainer.plot_shap_detailed(topx=10)"
+    "explainer.plot_importance_detailed(topx=10)"
    ]
   },
   {
diff --git a/explainerdashboard/dashboard_components/shap_components.py b/explainerdashboard/dashboard_components/shap_components.py
index 1b41f4b..6184cd8 100644
--- a/explainerdashboard/dashboard_components/shap_components.py
+++ b/explainerdashboard/dashboard_components/shap_components.py
@@ -158,7 +158,7 @@ def update_shap_summary_graph(summary_type, depth, index, pos_label):
                 plot = self.explainer.plot_importances(
                         kind='shap', topx=depth, pos_label=pos_label)
             elif summary_type == 'detailed':
-                plot = self.explainer.plot_shap_detailed(
+                plot = self.explainer.plot_importance_detailed(
                         topx=depth, pos_label=pos_label, index=index, 
                         max_cat_colors=self.max_cat_colors)
             ctx = dash.callback_context
diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index 9a7e527..89198de 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -1248,7 +1248,7 @@ def plot_importances(self, kind='shap', topx=None,  round=3, pos_label=None):
             return plotly_importances_plot(importances_df, round=round, units=units, title=title)
 
     @insert_pos_label
-    def plot_shap_detailed(self, index=None, topx=None, max_cat_colors=5, pos_label=None):
+    def plot_importance_detailed(self, index=None, topx=None, max_cat_colors=5, pos_label=None):
         """Plot barchart of mean absolute shap value.
         
         Displays all individual shap value for each feature in a horizontal
@@ -1557,7 +1557,7 @@ def plot_shap_contributions(*args, **kwargs):
 
     def plot_shap_summary(*args, **kwargs):
         raise NotImplementedError("plot_shap_summary() has been deprecated! "
-                "Use plot_shap_detailed() instead!")
+                "Use plot_importance_detailed() instead!")
 
     def plot_shap_dependence(*args, **kwargs):
         raise NotImplementedError("plot_shap_dependence() has been deprecated! "
diff --git a/tests/test_cats_only.py b/tests/test_cats_only.py
index 211996a..50515d2 100644
--- a/tests/test_cats_only.py
+++ b/tests/test_cats_only.py
@@ -144,10 +144,10 @@ def test_plot_importances(self):
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_shap_detailed(self):
-        fig = self.explainer.plot_shap_detailed()
+        fig = self.explainer.plot_importance_detailed()
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_detailed(topx=3)
+        fig = self.explainer.plot_importance_detailed(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_dependence(self):
@@ -422,7 +422,7 @@ def test_plot_contributions(self):
 
 
     def test_plot_shap_detailed(self):
-        fig = self.explainer.plot_shap_detailed()
+        fig = self.explainer.plot_importance_detailed()
         self.assertIsInstance(fig, go.Figure)
 
 
diff --git a/tests/test_classifier_base.py b/tests/test_classifier_base.py
index 613e4e4..6db110e 100644
--- a/tests/test_classifier_base.py
+++ b/tests/test_classifier_base.py
@@ -186,10 +186,10 @@ def test_plot_contributions(self):
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_shap_detailed(self):
-        fig = self.explainer.plot_shap_detailed()
+        fig = self.explainer.plot_importance_detailed()
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_detailed(topx=3)
+        fig = self.explainer.plot_importance_detailed(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_interactions_detailed(self):
diff --git a/tests/test_multiclass.py b/tests/test_multiclass.py
index 096312e..3ba4b51 100644
--- a/tests/test_multiclass.py
+++ b/tests/test_multiclass.py
@@ -127,10 +127,10 @@ def test_plot_contributions(self):
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_shap_detailed(self):
-        fig = self.explainer.plot_shap_detailed()
+        fig = self.explainer.plot_importance_detailed()
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_detailed(topx=3)
+        fig = self.explainer.plot_importance_detailed(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_interactions_detailed(self):
diff --git a/tests/test_regression_base.py b/tests/test_regression_base.py
index d7011d3..d499646 100644
--- a/tests/test_regression_base.py
+++ b/tests/test_regression_base.py
@@ -183,10 +183,10 @@ def test_plot_shap_interactions(self):
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_shap_detailed(self):
-        fig = self.explainer.plot_shap_detailed()
+        fig = self.explainer.plot_importance_detailed()
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_shap_detailed(topx=3)
+        fig = self.explainer.plot_importance_detailed(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
 

From b4a9abf8a08e2a3adfbd73c58a5661e33b25aa4a Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Sat, 23 Jan 2021 14:06:32 +0100
Subject: [PATCH 16/28] fixed y_missing bug

---
 RELEASE_NOTES.md                           |  4 +-
 explainerdashboard/explainers.py           | 53 ++++++++++++----------
 tests/integration_tests/test_dashboards.py |  2 +-
 tests/test_cats_only.py                    |  2 +-
 4 files changed, 34 insertions(+), 27 deletions(-)

diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index 1b41faa..5599334 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -33,7 +33,7 @@ needed breaking changes at once.
         - `self.get_dfs()`
         - `formatted_contrib_df()`
         - `self.to_sql()`
-        - `self.check_cats()` *
+        - `self.check_cats()` 
         - `equivalent_col`
     - `ClassifierExplainer`:
         - `get_prop_for_label`
@@ -52,7 +52,7 @@ needed breaking changes at once.
         - `plot_shap_interaction_summary()` -> `plot_interactions_detailed()`
         - `plot_interactions()` -> `plot_interactions_importance()`
         - `n_features()` -> `n_features`
-        - `shap_top_interaction()` -> `top_shap_interactions` *
+        - `shap_top_interaction()` -> `top_shap_interactions` 
         - `shap_interaction_values_by_col()` -> `shap_interactions_values_for_col()`
     - `ClassifierExplainer`:
         - `self.pred_probas` -> `self.pred_probas()`
diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index 89198de..144cc6f 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -1528,76 +1528,83 @@ def plot_pdp(self, col, index=None, X_row=None, drop_na=True, sample=100,
                         round=round, target=self.target, units=units)
 
     def get_int_idx(*args, **kwargs):
-        raise NotImplementedError("get_int_idx has been deprecated! Use get_idx() instead!")
+        raise NotImplementedError("get_int_idx has been deprecated in v0.3! Use get_idx() instead!")
 
     @property
     def importances_df(*args, **kwargs):
-        raise NotImplementedError("importances_df has been deprecated! Use get_importances_df() instead!")
+        raise NotImplementedError("importances_df has been deprecated in v0.3! Use get_importances_df() instead!")
 
     @property
     def feature_permutations_df(*args, **kwargs):
-        raise NotImplementedError("feature_permutations_df has been deprecated! Use get_feature_permutations_df() instead!")
+        raise NotImplementedError("feature_permutations_df has been deprecated in v0.3! Use get_feature_permutations_df() instead!")
 
     @property
     def shap_values(*args, **kwargs):
-        raise NotImplementedError("shap_values has been deprecated! Use shap_values_df() instead!")
+        raise NotImplementedError("shap_values has been deprecated in v0.3! Use shap_values_df() instead!")
 
     def get_dfs(*args, **kwargs):
-        raise NotImplementedError("get_dfs() has been deprecated! ")
+        raise NotImplementedError("get_dfs() has been deprecated in v0.3! ")
 
     def to_sql(*args, **kwargs):
-        raise NotImplementedError("to_sql() has been deprecated!")
+        raise NotImplementedError("to_sql() has been deprecated in v0.3!")
 
     def get_prop_for_label(*args, **kwargs):
-        raise NotImplementedError("get_prop_for_label() has been deprecated!")
+        raise NotImplementedError("get_prop_for_label() has been deprecated in v0.3!")
 
     def plot_shap_contributions(*args, **kwargs):
-        raise NotImplementedError("plot_shap_contributions() has been deprecated! "
+        raise NotImplementedError("plot_shap_contributions() has been deprecated in v0.3! "
                 "Use plot_contributions() instead!")
 
     def plot_shap_summary(*args, **kwargs):
-        raise NotImplementedError("plot_shap_summary() has been deprecated! "
+        raise NotImplementedError("plot_shap_summary() has been deprecated in v0.3! "
                 "Use plot_importance_detailed() instead!")
 
     def plot_shap_dependence(*args, **kwargs):
-        raise NotImplementedError("plot_shap_dependence() has been deprecated! "
+        raise NotImplementedError("plot_shap_dependence() has been deprecated in v0.3! "
                 "Use plot_dependence() instead!")
 
     def plot_shap_interaction(*args, **kwargs):
-        raise NotImplementedError("plot_shap_interaction() has been deprecated! "
+        raise NotImplementedError("plot_shap_interaction() has been deprecated in v0.3! "
                 "Use plot_interaction() instead!")
 
     def plot_shap_interaction_summary(*args, **kwargs):
-        raise NotImplementedError("plot_shap_interaction_summary() has been deprecated! "
+        raise NotImplementedError("plot_shap_interaction_summary() has been deprecated in v0.3! "
                 "Use plot_interactions_detailed() instead!")
 
     def plot_interactions(*args, **kwargs):
-        raise NotImplementedError("plot_interactions() has been deprecated! "
+        raise NotImplementedError("plot_interactions() has been deprecated in v0.3! "
                 "Use plot_interactions_importance() instead!")
 
+    def shap_top_interactions(*args, **kwargs):
+        raise NotImplementedError("shap_top_interactions() has been deprecated in v0.3! "
+                "Use top_shap_interactions() instead!")
+
+    def check_cats(*args, **kwargs):
+        raise NotImplementedError("check_cats has been deprecated in v0.3!")
+
     @property
     def decision_trees(*args, **kwargs):
-        raise NotImplementedError(".decision_trees has been deprecated! "
+        raise NotImplementedError(".decision_trees has been deprecated in v0.3! "
                 "Use .shadow_trees instead!")
 
     def decisiontree_df(*args, **kwargs):
-        raise NotImplementedError("decisiontree_df() has been deprecated! "
+        raise NotImplementedError("decisiontree_df() has been deprecated in v0.3! "
                 "Use decisionpath_df() instead!")
 
     def decisiontree_summary_df(*args, **kwargs):
-        raise NotImplementedError("decisiontree_summary_df() has been deprecated! "
+        raise NotImplementedError("decisiontree_summary_df() has been deprecated in v0.3! "
                 "Use decisionpath_summary_df() instead!")
 
     def decision_path_file(*args, **kwargs):
-        raise NotImplementedError("decision_path_file() has been deprecated! "
+        raise NotImplementedError("decision_path_file() has been deprecated in v0.3! "
                 "Use decisiontree_file() instead!")
 
     def decision_path(*args, **kwargs):
-        raise NotImplementedError("decision_path() has been deprecated! "
+        raise NotImplementedError("decision_path() has been deprecated in v0.3! "
                 "Use decisiontree() instead!")
 
     def decision_path_encoded(*args, **kwargs):
-        raise NotImplementedError("decision_path_encoded() has been deprecated! "
+        raise NotImplementedError("decision_path_encoded() has been deprecated in v0.3! "
                 "Use decisiontree_encoded() instead!")
 
 
@@ -1639,7 +1646,8 @@ def __init__(self, model,  X, y=None,  permutation_metric=roc_auc_score,
         self._params_dict = {**self._params_dict, **dict(
             labels=labels, pos_label=pos_label)}
         
-        self.y = self.y.astype('Int64')
+        if not self.y_missing:
+            self.y = self.y.astype('int16')
         if self.categorical_cols and model_output == 'probability':
             print("Warning: Models that deal with categorical features directly "
                 f"such as {self.model.__class__.__name__} are incompatible with model_output='probability'"
@@ -2884,11 +2892,10 @@ def shadow_trees(self):
             assert hasattr(self.model, 'estimators_'), \
                 """self.model does not have an estimators_ attribute, so probably not
                 actually a sklearn RandomForest?"""
-                
+            y = self.y if self.y_missing else self.y.astype("int16")
             self._shadow_trees = [
                 ShadowDecTree.get_shadow_tree(decision_tree,
-                                        self.X,
-                                        self.y.astype("int32"),
+                                        self.X, y,
                                         feature_names=self.X.columns.tolist(),
                                         target_name='target',
                                         class_names = self.labels if self.is_classifier else None)
diff --git a/tests/integration_tests/test_dashboards.py b/tests/integration_tests/test_dashboards.py
index 8dde1f6..b7611a3 100644
--- a/tests/integration_tests/test_dashboards.py
+++ b/tests/integration_tests/test_dashboards.py
@@ -99,7 +99,7 @@ def get_catboost_classifier():
                         labels=['Not survived', 'Survived'],
                         idxs=test_names)
 
-    X_cats, y_cats = explainer.X_merged, explainer.y
+    X_cats, y_cats = explainer.X_merged, explainer.y.astype("int")
     model = CatBoostClassifier(iterations=5, verbose=0).fit(X_cats, y_cats, cat_features=[5, 6, 7])
     explainer = ClassifierExplainer(model, X_cats, y_cats, idxs=X_test.index)
     explainer.calculate_properties(include_interactions=False)
diff --git a/tests/test_cats_only.py b/tests/test_cats_only.py
index 50515d2..abcf102 100644
--- a/tests/test_cats_only.py
+++ b/tests/test_cats_only.py
@@ -308,7 +308,7 @@ def setUp(self):
                             cats=['Deck', 'Embarked'],
                             labels=['Not survived', 'Survived'])
 
-        X_cats, y_cats = explainer.X_merged, explainer.y
+        X_cats, y_cats = explainer.X_merged, explainer.y.astype("int")
         model = CatBoostClassifier(iterations=5, verbose=0).fit(X_cats, y_cats, cat_features=[8, 9])
         self.explainer = ClassifierExplainer(model, X_cats, y_cats, 
                                 cats=['Sex'], 

From d336e100282019df22e664a047fabd1157fc4920 Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Sat, 23 Jan 2021 14:13:24 +0100
Subject: [PATCH 17/28] version bump 0.3

---
 setup.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/setup.py b/setup.py
index 858116d..89aa77e 100644
--- a/setup.py
+++ b/setup.py
@@ -2,7 +2,7 @@
 
 setup(
     name='explainerdashboard',
-    version='0.2.20.1',
+    version='0.3.0',
     description='explainerdashboard allows you quickly build an interactive dashboard to explain the inner workings of your machine learning model.',
     long_description="""
 

From 70e4fc8e4590389f5bec3f896fd5b3566ee9996c Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Sat, 23 Jan 2021 14:20:04 +0100
Subject: [PATCH 18/28] updated description

---
 setup.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/setup.py b/setup.py
index 89aa77e..1430241 100644
--- a/setup.py
+++ b/setup.py
@@ -3,7 +3,7 @@
 setup(
     name='explainerdashboard',
     version='0.3.0',
-    description='explainerdashboard allows you quickly build an interactive dashboard to explain the inner workings of your machine learning model.',
+    description='Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.',
     long_description="""
 
 This package makes it convenient to quickly deploy a dashboard web app

From 253cbddf6094c51d14fb922297ae44e689ff7d9d Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Sat, 23 Jan 2021 21:37:09 +0100
Subject: [PATCH 19/28] naming changes

---
 RELEASE_NOTES.md                              |  9 +-
 dashboard_examples.ipynb                      |  2 +-
 docs/source/explainers.rst                    | 89 ++++++++++---------
 explainer_examples.ipynb                      |  6 +-
 .../dashboard_components/shap_components.py   |  6 +-
 explainerdashboard/explainer_methods.py       |  2 +-
 explainerdashboard/explainer_plots.py         |  2 +-
 explainerdashboard/explainers.py              | 77 +++++++++-------
 tests/test_boosting_models.py                 | 60 ++++++-------
 tests/test_cats_only.py                       | 48 +++++-----
 tests/test_classifier_base.py                 | 36 ++++----
 tests/test_classifier_explainer.py            |  8 +-
 tests/test_decisiontrees.py                   | 40 ++++-----
 tests/test_linear_model.py                    | 28 +++---
 tests/test_multiclass.py                      | 28 +++---
 tests/test_pipelines.py                       |  8 +-
 tests/test_randomforest_explainer.py          |  2 +-
 tests/test_regression_base.py                 | 36 ++++----
 tests/test_xgboost_explainer.py               |  4 +-
 19 files changed, 257 insertions(+), 234 deletions(-)

diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index 5599334..311d42e 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -44,9 +44,12 @@ needed breaking changes at once.
         - `feature_permutations_df()` -> `get_feature_permutations_df()`
         - `self.get_int_idx(index)` -> `self.get_idx(index)`
         - `self.importances_df()` -> `self.get_importances_df()`
-        - `self.shap_values` -> `self.shap_values_df`
+        - `self.contrib_df()` -> `self.get_contrib_df()` *
+        - `self.contrib_summary_df()` -> `self.get_summary_contrib_df()` *
+        - `self.interaction_df()` -> `get_interactions_df()` *
+        - `self.shap_values` -> `self.get_shap_values_df`
         - `plot_shap_contributions()` -> `plot_contributions()`
-        - `plot_shap_summary()` -> `plot_importance_detailed()`
+        - `plot_shap_summary()` -> `plot_importances_detailed()`
         - `plot_shap_dependence()` -> `plot_dependence()`
         - `plot_shap_interaction()` -> `plot_interaction()`
         - `plot_shap_interaction_summary()` -> `plot_interactions_detailed()`
@@ -56,6 +59,8 @@ needed breaking changes at once.
         - `shap_interaction_values_by_col()` -> `shap_interactions_values_for_col()`
     - `ClassifierExplainer`:
         - `self.pred_probas` -> `self.pred_probas()`
+        - `precision_df()` -> `get_precision_df()` *
+        - `lift_curve_df()` -> `get_liftcurve_df()` *
     -`RandomForestExplainer`/`XGBExplainer`:
         - `self.decision_trees` -> `self.shadow_trees`
         - `self.decisiontree_df()` -> `self.decisionpath_df()`
diff --git a/dashboard_examples.ipynb b/dashboard_examples.ipynb
index f87d415..85545f2 100644
--- a/dashboard_examples.ipynb
+++ b/dashboard_examples.ipynb
@@ -778,7 +778,7 @@
     "        - `Deck`: `Deck_A`, `Deck_B`, etc\n",
     "        - `Embarked`: `Embarked_Southampton`, `Embarked_Cherbourg`, etc\n",
     "- `idxs`: You may have specific identifiers (names, customer id's, etc) for each row in your dataset.\n",
-    "    - If you pass these the the Explainer object, you can index using both the numerical index, e.g. `explainer.contrib_df(0)` for the first row, or using the identifier, e.g. `explainer.contrib_df(\"Braund, Mr. Owen Harris\")` \n",
+    "    - If you pass these the the Explainer object, you can index using both the numerical index, e.g. `explainer.get_contrib_df(0)` for the first row, or using the identifier, e.g. `explainer.get_contrib_df(\"Braund, Mr. Owen Harris\")` \n",
     "    - The proper name or id will also be displayed and searchable on the contributions tab\n",
     "- `descriptions`: a dictionary of descriptions for each variable.\n",
     "    - In order to be explanatory, you often have to explain the meaning of the features themselves (especially if the naming is not obvious)\n",
diff --git a/docs/source/explainers.rst b/docs/source/explainers.rst
index 4edaedf..17ee66f 100644
--- a/docs/source/explainers.rst
+++ b/docs/source/explainers.rst
@@ -63,6 +63,7 @@ give a bit nicer and more convenient output::
             index_name="Passenger", # description of index
             descriptions=feature_descriptions, # show long feature descriptions in hovers
             target='Survival', # the name of the target variable (y)
+            precision='float32', # save memory by setting lower precision. Default is 'float64'
             labels=['Not survived', 'Survived']) # show target labels instead of ['0', '1']
 
 cats
@@ -102,8 +103,8 @@ idxs
 You may have specific identifiers (names, customer id's, etc) for each row in 
 your dataset. By default ``X.index`` will get used
 to identify individual rows/records in the dashboard. And you can index using both the 
-numerical index, e.g. ``explainer.contrib_df(0)`` for the first row, or using the 
-identifier, e.g. ``explainer.contrib_df("Braund, Mr. Owen Harris")``.
+numerical index, e.g. ``explainer.get_contrib_df(0)`` for the first row, or using the 
+identifier, e.g. ``explainer.get_contrib_df("Braund, Mr. Owen Harris")``.
 
 You can override using ``X.index`` by passing a list/array/Series ``idxs``
 to the explainer::
@@ -232,6 +233,13 @@ tree based methods), these can mess with the horizontal axis of your plots.
 In order to filter these out, you need to tell the explainer what the extreme value 
 is that you used to fill. Defaults to ``-999``.
 
+precision
+---------
+
+You can set the precision of the calculated shap values, predictions, etc, in
+order to save on memory usage. Default is ``'float64'``, but ``'float32'`` is probably
+fine, maybe even ``'float16'`` for your application.
+
 Plots
 =====
 
@@ -247,7 +255,7 @@ or ``RegressionExplainer``, however they both inherit all of these basic methods
 
     plot_importances(kind='shap', topx=None, round=3, pos_label=None)
     plot_contributions(index, topx=None, cutoff=None, round=2, pos_label=None)
-    plot_importance_detailed(topx=None, pos_label=None)
+    plot_importances_detailed(topx=None, pos_label=None)
     plot_interactions_detailed(col, topx=None, pos_label=None)
     plot_dependence(col, color_col=None, highlight_idx=None, pos_label=None)
     plot_interaction(interact_col, highlight_idx=None, pos_label=None)
@@ -267,18 +275,23 @@ plot_importances
 
 .. automethod:: explainerdashboard.explainers.BaseExplainer.plot_importances
 
-plot_shap_contributions
-^^^^^^^^^^^^^^^^^^^^^^^
+plot_importances_detailed
+^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. automethod:: explainerdashboard.explainers.BaseExplainer.plot_importances_detailed
+
+plot_contributions
+^^^^^^^^^^^^^^^^^^
 
 .. automethod:: explainerdashboard.explainers.BaseExplainer.plot_contributions
 
-plot_shap_dependence
-^^^^^^^^^^^^^^^^^^^^
+plot_dependence
+^^^^^^^^^^^^^^^
 
 .. automethod:: explainerdashboard.explainers.BaseExplainer.plot_dependence
 
-plot_shap_interaction
-^^^^^^^^^^^^^^^^^^^^^
+plot_interaction
+^^^^^^^^^^^^^^^^
 
 .. automethod:: explainerdashboard.explainers.BaseExplainer.plot_interaction
 
@@ -287,18 +300,13 @@ plot_pdp
 
 .. automethod:: explainerdashboard.explainers.BaseExplainer.plot_pdp
 
-plot_importance_detailed
-^^^^^^^^^^^^^^^^^^
-
-.. automethod:: explainerdashboard.explainers.BaseExplainer.plot_importance_detailed
-
-plot_shap_interactions_importance
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+plot_interactions_importance
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 .. automethod:: explainerdashboard.explainers.BaseExplainer.plot_interactions_importance
 
-plot_shap_interactions_detailed
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+plot_interactions_detailed
+^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 .. automethod:: explainerdashboard.explainers.BaseExplainer.plot_interactions_detailed
 
@@ -438,7 +446,6 @@ decisiontree_encoded
 .. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisiontree_encoded
 
 
-
 Other explainer outputs
 =======================
 
@@ -451,9 +458,9 @@ Some other useful tables and outputs you can get out of the explainer::
     get_mean_abs_shap_df(topx=None, cutoff=None, cats=False, pos_label=None)
     get_permutation_importances_df(topx=None, cutoff=None, cats=False, pos_label=None)
     get_importances_df(kind="shap", topx=None, cutoff=None, cats=False, pos_label=None)
-    contrib_df(index, cats=True, topx=None, cutoff=None, pos_label=None)
-    contrib_summary_df(index, cats=True, topx=None, cutoff=None, round=2, pos_label=None)
-    interactions_df(col, cats=False, topx=None, cutoff=None, pos_label=None)
+    get_contrib_df(index, cats=True, topx=None, cutoff=None, pos_label=None)
+    get_contrib_summary_df(index, cats=True, topx=None, cutoff=None, round=2, pos_label=None)
+    get_interactions_df(col, cats=False, topx=None, cutoff=None, pos_label=None)
 
 metrics
 ^^^^^^^
@@ -481,20 +488,20 @@ get_importances_df
 
 .. automethod:: explainerdashboard.explainers.BaseExplainer.get_importances_df
 
-contrib_df
+get_contrib_df
 ^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.BaseExplainer.contrib_df
+.. automethod:: explainerdashboard.explainers.BaseExplainer.get_contrib_df
 
-contrib_summary_df
-^^^^^^^^^^^^^^^^^^
+get_contrib_summary_df
+^^^^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.BaseExplainer.contrib_summary_df
+.. automethod:: explainerdashboard.explainers.BaseExplainer.get_contrib_summary_df
 
-interactions_df
-^^^^^^^^^^^^^^^
+get_interactions_df
+^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.BaseExplainer.interactions_df
+.. automethod:: explainerdashboard.explainers.BaseExplainer.get_interactions_df
 
 
 
@@ -507,8 +514,8 @@ For ``ClassifierExplainer`` in addition::
                     pred_percentile_min=None, pred_percentile_max=None, pos_label=None)
     prediction_result_df(index, pos_label=None)
     cutoff_from_percentile(percentile, pos_label=None)
-    precision_df(bin_size=None, quantiles=None, multiclass=False, round=3, pos_label=None)
-    lift_curve_df(pos_label=None)
+    get_precision_df(bin_size=None, quantiles=None, multiclass=False, round=3, pos_label=None)
+    get_liftcurve_df(pos_label=None)
 
 
 random_index
@@ -527,15 +534,15 @@ percentile_from_cutoff
 
 .. automethod:: explainerdashboard.explainers.ClassifierExplainer.percentile_from_cutoff
 
-precision_df
-^^^^^^^^^^^^
+get_precision_df
+^^^^^^^^^^^^^^^^
 
 .. automethod:: explainerdashboard.explainers.ClassifierExplainer.precision_df
 
-lift_curve_df
-^^^^^^^^^^^^^
+get_liftcurve_df
+^^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.ClassifierExplainer.lift_curve_df
+.. automethod:: explainerdashboard.explainers.ClassifierExplainer.get_liftcurve_df
 
 
 Regression outputs
@@ -605,9 +612,9 @@ property is calculated once, it is stored for next time. So the first time
 you invoke a plot involving shap values may take a while to calculate. The next
 time will be basically instant. 
 
-You can access these properties directly from the explainer, e.g. ``explainer.shap_values_df()``. 
+You can access these properties directly from the explainer, e.g. ``explainer.get_shap_values_df()``. 
 For classifier models if you want values for a particular ``pos_label`` you can
-pass this label ``explainer.shap_values_df(0)`` would get the shap values for 
+pass this label ``explainer.get_shap_values_df(0)`` would get the shap values for 
 the 0'th class label.
 
 In order to calculate all properties of the explainer at once, you can call
@@ -622,7 +629,7 @@ The various properties are::
     explainer.permutation_importances(pos_label)
     explainer.mean_abs_shap_df(pos_label)
     explainer.shap_base_value(pos_label)
-    explainer.shap_values_df(pos_label)
+    explainer.get_shap_values_df(pos_label)
     explainer.shap_interaction_values
     
 
@@ -670,7 +677,7 @@ BaseExplainer
 
 .. autoclass:: explainerdashboard.explainers.BaseExplainer
    :members: get_mean_abs_shap_df, get_permutation_importances_df, get_importances_df, contrib_df, 
-            plot_importances, plot_contributions, plot_importance_detailed, 
+            plot_importances, plot_contributions, plot_importances_detailed, 
             plot_interactions_detailed, plot_interactions_importances, plot_dependence, plot_interaction, plot_pdp
    :member-order: bysource
 
diff --git a/explainer_examples.ipynb b/explainer_examples.ipynb
index 97c004b..61e394a 100644
--- a/explainer_examples.ipynb
+++ b/explainer_examples.ipynb
@@ -7327,7 +7327,7 @@
     }
    ],
    "source": [
-    "explainer.plot_importance_detailed(topx=10)"
+    "explainer.plot_importances_detailed(topx=10)"
    ]
   },
   {
@@ -14368,7 +14368,7 @@
    ],
    "source": [
     "index = 0 # explain prediction for first row of X_test\n",
-    "explainer.contrib_df(index, topx=8)"
+    "explainer.get_contrib_df(index, topx=8)"
    ]
   },
   {
@@ -55072,7 +55072,7 @@
     }
    ],
    "source": [
-    "explainer.plot_importance_detailed(topx=10)"
+    "explainer.plot_importances_detailed(topx=10)"
    ]
   },
   {
diff --git a/explainerdashboard/dashboard_components/shap_components.py b/explainerdashboard/dashboard_components/shap_components.py
index 6184cd8..8f68ba8 100644
--- a/explainerdashboard/dashboard_components/shap_components.py
+++ b/explainerdashboard/dashboard_components/shap_components.py
@@ -158,7 +158,7 @@ def update_shap_summary_graph(summary_type, depth, index, pos_label):
                 plot = self.explainer.plot_importances(
                         kind='shap', topx=depth, pos_label=pos_label)
             elif summary_type == 'detailed':
-                plot = self.explainer.plot_importance_detailed(
+                plot = self.explainer.plot_importances_detailed(
                         topx=depth, pos_label=pos_label, index=index, 
                         max_cat_colors=self.max_cat_colors)
             ctx = dash.callback_context
@@ -1165,7 +1165,7 @@ def update_output_div(index, depth, sort, pos_label):
                     raise PreventUpdate
                 depth = None if depth is None else int(depth)
                 contributions_table = dbc.Table.from_dataframe(
-                    self.explainer.contrib_summary_df(index, topx=depth, 
+                    self.explainer.get_contrib_summary_df(index, topx=depth, 
                                     sort=sort, pos_label=pos_label))
 
                 tooltip_cols = {}
@@ -1196,7 +1196,7 @@ def update_output_div(depth, sort, pos_label, *inputs):
                     X_row = self.explainer.get_row_from_input(inputs, ranked_by_shap=True)
                     depth = None if depth is None else int(depth)
                     contributions_table = dbc.Table.from_dataframe(
-                        self.explainer.contrib_summary_df(X_row=X_row, topx=depth, 
+                        self.explainer.get_contrib_summary_df(X_row=X_row, topx=depth, 
                                         sort=sort, pos_label=pos_label))
 
                     tooltip_cols = {}
diff --git a/explainerdashboard/explainer_methods.py b/explainerdashboard/explainer_methods.py
index b685f33..1abf99c 100644
--- a/explainerdashboard/explainer_methods.py
+++ b/explainerdashboard/explainer_methods.py
@@ -813,7 +813,7 @@ def get_precision_df(pred_probas, y_true, bin_size=None, quantiles=None,
     return precision_df
 
 
-def get_lift_curve_df(pred_probas, y, pos_label=1):
+def get_liftcurve_df(pred_probas, y, pos_label=1):
     """returns a pd.DataFrame that can be used to generate a lift curve plot.
 
     Args:
diff --git a/explainerdashboard/explainer_plots.py b/explainerdashboard/explainer_plots.py
index abffaac..96f011d 100644
--- a/explainerdashboard/explainer_plots.py
+++ b/explainerdashboard/explainer_plots.py
@@ -415,7 +415,7 @@ def plotly_lift_curve(lift_curve_df, cutoff=None, percentage=False, add_wizard=T
     """returns a lift plot for values 
 
     Args:
-        lift_curve_df (pd.DataFrame): generated with get_lift_curve_df(pred_proba, y)
+        lift_curve_df (pd.DataFrame): generated with get_liftcurve_df(pred_proba, y)
         cutoff (float, optional): cutoff above which samples get classified as 
             positive. Defaults to None.
         percentage (bool, optional): Display percentages instead of absolute 
diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index 144cc6f..2c2c4c4 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -630,10 +630,10 @@ def ordered_cats(self, col, topx=None, sort='alphabet', pos_label=None):
                 return X[col].value_counts().nlargest(topx).index.tolist()
         elif sort=='shap':
             if topx is None:
-                return (pd.Series(self.shap_values_df(pos_label)[col].values, index=self.get_col(col))
+                return (pd.Series(self.get_shap_values_df(pos_label)[col].values, index=self.get_col(col))
                             .abs().groupby(level=0).mean().sort_values(ascending=False).index.tolist())
             else:
-                return (pd.Series(self.shap_values_df(pos_label)[col].values, index=self.get_col(col))
+                return (pd.Series(self.get_shap_values_df(pos_label)[col].values, index=self.get_col(col))
                             .abs().groupby(level=0).mean().sort_values(ascending=False).nlargest(topx).index.tolist())
         else:
             raise ValueError(f"sort='{sort}', but should be in {{'alphabet', 'freq', 'shap'}}")
@@ -740,7 +740,7 @@ def shap_base_value(self, pos_label=None):
         if not hasattr(self, '_shap_base_value'):
             # CatBoost needs shap values calculated before expected value
             if not hasattr(self, "_shap_values"):
-                _ = self.shap_values_df()
+                _ = self.get_shap_values_df()
             self._shap_base_value = self.shap_explainer.expected_value
             if isinstance(self._shap_base_value, np.ndarray):
                 # shap library now returns an array instead of float
@@ -748,7 +748,7 @@ def shap_base_value(self, pos_label=None):
         return self._shap_base_value
 
     @insert_pos_label
-    def shap_values_df(self, pos_label=None):
+    def get_shap_values_df(self, pos_label=None):
         """SHAP values calculated using the shap library"""
         if not hasattr(self, '_shap_values_df'):
             print("Calculating shap values...", flush=True)
@@ -784,7 +784,7 @@ def shap_interaction_values(self, pos_label=None):
     def mean_abs_shap_df(self, pos_label=None):
         """Mean absolute SHAP values per feature."""
         if not hasattr(self, '_mean_abs_shap_df'):
-            self._mean_abs_shap_df = (self.shap_values_df(pos_label)[self.merged_cols].abs().mean()
+            self._mean_abs_shap_df = (self.get_shap_values_df(pos_label)[self.merged_cols].abs().mean()
                     .sort_values(ascending=False)
                     .to_frame().rename_axis(index="Feature").reset_index()
                     .rename(columns={0:"MEAN_ABS_SHAP"}))
@@ -893,10 +893,10 @@ def calculate_properties(self, include_interactions=True):
 
         """
         _ = (self.preds,  self.pred_percentiles,
-                self.shap_base_value, self.shap_values_df,
-                self.mean_abs_shap_df)
+                self.shap_base_value(), self.get_shap_values_df(),
+                self.get_mean_abs_shap_df())
         if not self.y_missing:
-            _ = self.permutation_importances
+            _ = self.get_permutation_importances_df()
         if self.onehot_cols:
             _ = self.X_cats
         if self.interactions_should_work and include_interactions:
@@ -1016,7 +1016,7 @@ def get_importances_df(self, kind="shap", topx=None, cutoff=None, pos_label=None
             return self.get_mean_abs_shap_df(topx, cutoff, pos_label)
 
     @insert_pos_label
-    def contrib_df(self, index=None, X_row=None, topx=None, cutoff=None, 
+    def get_contrib_df(self, index=None, X_row=None, topx=None, cutoff=None, 
                     sort='abs', pos_label=None):
         """shap value contributions to the prediction for index.
         
@@ -1077,7 +1077,7 @@ def contrib_df(self, index=None, X_row=None, topx=None, cutoff=None,
             raise ValueError("Either index or X_row should be passed!")
 
     @insert_pos_label
-    def contrib_summary_df(self, index=None, X_row=None, topx=None, cutoff=None, 
+    def get_contrib_summary_df(self, index=None, X_row=None, topx=None, cutoff=None, 
                             round=2, sort='abs', pos_label=None):
         """Takes a contrib_df, and formats it to a more human readable format
 
@@ -1097,12 +1097,12 @@ def contrib_summary_df(self, index=None, X_row=None, topx=None, cutoff=None,
         Returns:
           pd.DataFrame
         """
-        contrib_df = self.contrib_df(index, X_row, topx, cutoff, sort, pos_label)
+        contrib_df = self.get_contrib_df(index, X_row, topx, cutoff, sort, pos_label)
         return get_contrib_summary_df(contrib_df, model_output=self.model_output, 
                         round=round, units=self.units, na_fill=self.na_fill)
 
     @insert_pos_label
-    def interactions_df(self, col, topx=None, cutoff=None, 
+    def get_interactions_df(self, col, topx=None, cutoff=None, 
                             pos_label=None):
         """dataframe of mean absolute shap interaction values for col
 
@@ -1248,7 +1248,7 @@ def plot_importances(self, kind='shap', topx=None,  round=3, pos_label=None):
             return plotly_importances_plot(importances_df, round=round, units=units, title=title)
 
     @insert_pos_label
-    def plot_importance_detailed(self, index=None, topx=None, max_cat_colors=5, pos_label=None):
+    def plot_importances_detailed(self, index=None, topx=None, max_cat_colors=5, pos_label=None):
         """Plot barchart of mean absolute shap value.
         
         Displays all individual shap value for each feature in a horizontal
@@ -1286,7 +1286,7 @@ def plot_importance_detailed(self, index=None, topx=None, max_cat_colors=5, pos_
 
         return plotly_shap_scatter_plot(
                                 self.X_merged[cols],
-                                self.shap_values_df(pos_label)[cols],
+                                self.get_shap_values_df(pos_label)[cols],
                                 cols, 
                                 idxs=self.idxs,
                                 highlight_index=index,
@@ -1327,7 +1327,7 @@ def plot_contributions(self, index=None, X_row=None, topx=None, cutoff=None,
 
         """
         assert orientation in ['vertical', 'horizontal']
-        contrib_df = self.contrib_df(index, X_row, topx, cutoff, sort, pos_label)
+        contrib_df = self.get_contrib_df(index, X_row, topx, cutoff, sort, pos_label)
         return plotly_contribution_plot(contrib_df, model_output=self.model_output, 
                     orientation=orientation, round=round, higher_is_better=higher_is_better,
                     target=self.target, units=self.units)
@@ -1368,7 +1368,7 @@ def plot_dependence(self, col, color_col=None, highlight_index=None,
         if col in self.cat_cols:
             return plotly_shap_violin_plot(
                             self.get_col(col), 
-                            self.shap_values_df(pos_label)[col], 
+                            self.get_shap_values_df(pos_label)[col], 
                             X_color_col, 
                             highlight_index=highlight_index,
                             idxs=self.idxs,
@@ -1378,7 +1378,7 @@ def plot_dependence(self, col, color_col=None, highlight_index=None,
         else:
             return plotly_dependence_plot(
                         self.get_col(col), 
-                        self.shap_values_df(pos_label)[col],
+                        self.get_shap_values_df(pos_label)[col],
                         X_color_col, 
                         na_fill=self.na_fill, 
                         units=self.units, 
@@ -1438,7 +1438,7 @@ def plot_interactions_importance(self, col, topx=None, pos_label=None):
           plotly.fig: fig
 
         """
-        interactions_df = self.interactions_df(col, topx=topx, pos_label=pos_label)
+        interactions_df = self.get_interactions_df(col, topx=topx, pos_label=pos_label)
         title = f"Average interaction shap values for {col}"
         return plotly_importances_plot(interactions_df, units=self.units, title=title)
 
@@ -1540,7 +1540,7 @@ def feature_permutations_df(*args, **kwargs):
 
     @property
     def shap_values(*args, **kwargs):
-        raise NotImplementedError("shap_values has been deprecated in v0.3! Use shap_values_df() instead!")
+        raise NotImplementedError("shap_values has been deprecated in v0.3! Use get_shap_values_df() instead!")
 
     def get_dfs(*args, **kwargs):
         raise NotImplementedError("get_dfs() has been deprecated in v0.3! ")
@@ -1557,7 +1557,7 @@ def plot_shap_contributions(*args, **kwargs):
 
     def plot_shap_summary(*args, **kwargs):
         raise NotImplementedError("plot_shap_summary() has been deprecated in v0.3! "
-                "Use plot_importance_detailed() instead!")
+                "Use plot_importances_detailed() instead!")
 
     def plot_shap_dependence(*args, **kwargs):
         raise NotImplementedError("plot_shap_dependence() has been deprecated in v0.3! "
@@ -1607,6 +1607,17 @@ def decision_path_encoded(*args, **kwargs):
         raise NotImplementedError("decision_path_encoded() has been deprecated in v0.3! "
                 "Use decisiontree_encoded() instead!")
 
+    def contrib_df(*args, **kwargs):
+        raise NotImplementedError("contrib_df() has been deprecated in v0.3! "
+                "Use get_contrib_df() instead!")
+
+    def contrib_summary_df(*args, **kwargs):
+        raise NotImplementedError("contrib_summary_df() has been deprecated in v0.3! "
+                "Use get_contrib_summary_df() instead!")
+
+    def interactions_df(*args, **kwargs):
+        raise NotImplementedError("interactions_df() has been deprecated in v0.3! "
+                "Use get_interactions_df() instead!")
 
 
 class ClassifierExplainer(BaseExplainer):
@@ -1846,7 +1857,7 @@ def shap_explainer(self):
     def shap_base_value(self, pos_label=None):
         """SHAP base value: average outcome of population"""
         if not hasattr(self, '_shap_base_value'):
-            _ = self.shap_values_df() # CatBoost needs to have shap values calculated before expected value for some reason
+            _ = self.get_shap_values_df() # CatBoost needs to have shap values calculated before expected value for some reason
             self._shap_base_value = self.shap_explainer.expected_value
             if isinstance(self._shap_base_value, np.ndarray) and len(self._shap_base_value) == 1:
                 self._shap_base_value = self._shap_base_value[0]
@@ -1868,7 +1879,7 @@ def shap_base_value(self, pos_label=None):
         return self._shap_base_value[pos_label]
 
     @insert_pos_label
-    def shap_values_df(self, pos_label=None):
+    def get_shap_values_df(self, pos_label=None):
         """SHAP Values"""
         if not hasattr(self, '_shap_values_df'):
             print("Calculating shap values...", flush=True)
@@ -1905,7 +1916,7 @@ def shap_values_df(self, pos_label=None):
     def shap_interaction_values(self, pos_label=None):
         """SHAP interaction values"""
         if not hasattr(self, '_shap_interaction_values'):
-            _ = self.shap_values_df() #make sure shap values have been calculated
+            _ = self.get_shap_values_df() #make sure shap values have been calculated
             print("Calculating shap interaction values...", flush=True)
             if self.shap == 'tree':
                 print("Reminder: TreeShap computational complexity is O(TLD^2), "
@@ -1938,8 +1949,8 @@ def shap_interaction_values(self, pos_label=None):
     def mean_abs_shap_df(self, pos_label=None):
         """mean absolute SHAP values"""
         if not hasattr(self, '_mean_abs_shap_df'):
-            _ = self.shap_values_df()
-            self._mean_abs_shap_df = [self.shap_values_df(pos_label)[self.merged_cols].abs().mean()
+            _ = self.get_shap_values_df()
+            self._mean_abs_shap_df = [self.get_shap_values_df(pos_label)[self.merged_cols].abs().mean()
                     .sort_values(ascending=False)
                     .to_frame().rename_axis(index="Feature").reset_index()
                     .rename(columns={0:"MEAN_ABS_SHAP"}) for pos_label in self.labels]
@@ -1950,7 +1961,7 @@ def keep_shap_pos_label_only(self, pos_label=None):
         """drops the shap values and shap_interaction values for all labels 
         except pos_label in order to save on memory usage"""
         if hasattr(self, "_shap_values_df"):
-            self._shap_values_df= self.shap_values_df(pos_label)
+            self._shap_values_df= self.get_shap_values_df(pos_label)
         if hasattr(self, "_shap_interaction_values"):
             self._shap_interaction_values = self.shap_interaction_values(pos_label)
 
@@ -2143,7 +2154,7 @@ def prediction_result_df(self, index=None, X_row=None, add_star=True, logodds=Fa
         return preds_df.round(round)
 
     @insert_pos_label
-    def precision_df(self, bin_size=None, quantiles=None, multiclass=False, 
+    def get_precision_df(self, bin_size=None, quantiles=None, multiclass=False, 
                         round=3, pos_label=None):
         """dataframe with predicted probabilities and precision
 
@@ -2173,7 +2184,7 @@ def precision_df(self, bin_size=None, quantiles=None, multiclass=False,
                                     bin_size, quantiles, round=round)
 
     @insert_pos_label
-    def lift_curve_df(self, pos_label=None):
+    def get_liftcurve_df(self, pos_label=None):
         """returns a pd.DataFrame with data needed to build a lift curve
 
         Args:
@@ -2182,7 +2193,7 @@ def lift_curve_df(self, pos_label=None):
         Returns:
 
         """
-        return get_lift_curve_df(self.pred_probas(pos_label), self.y, pos_label)
+        return get_liftcurve_df(self.pred_probas(pos_label), self.y, pos_label)
 
     @insert_pos_label
     def plot_precision(self, bin_size=None, quantiles=None, cutoff=None, multiclass=False, pos_label=None):
@@ -2208,7 +2219,7 @@ def plot_precision(self, bin_size=None, quantiles=None, cutoff=None, multiclass=
         """
         if bin_size is None and quantiles is None:
             bin_size=0.1 # defaults to bin_size=0.1
-        precision_df = self.precision_df(
+        precision_df = self.get_precision_df(
                 bin_size=bin_size, quantiles=quantiles, multiclass=multiclass, pos_label=pos_label)
         return plotly_precision_plot(precision_df,
                     cutoff=cutoff, labels=self.labels, pos_label=pos_label)
@@ -2228,7 +2239,7 @@ def plot_cumulative_precision(self, percentile=None, pos_label=None):
 
         """
         return plotly_cumulative_precision_plot(
-                    self.lift_curve_df(pos_label=pos_label), labels=self.labels, 
+                    self.get_liftcurve_df(pos_label=pos_label), labels=self.labels, 
                     percentile=percentile, pos_label=pos_label)
 
     @insert_pos_label
@@ -2287,7 +2298,7 @@ def plot_lift_curve(self, cutoff=None, percentage=False, add_wizard=True,
           plotly fig
 
         """
-        return plotly_lift_curve(self.lift_curve_df(pos_label), cutoff=cutoff, 
+        return plotly_lift_curve(self.get_liftcurve_df(pos_label), cutoff=cutoff, 
                 percentage=percentage, add_wizard=add_wizard, round=round)
 
     @insert_pos_label
@@ -2366,7 +2377,7 @@ def calculate_properties(self, include_interactions=True):
             None
 
         """
-        _ = self.pred_probas, self.y_binary()
+        _ = self.pred_probas(), self.y_binary()
         super().calculate_properties(include_interactions=include_interactions)
 
 
diff --git a/tests/test_boosting_models.py b/tests/test_boosting_models.py
index 75fa6d5..19ba301 100644
--- a/tests/test_boosting_models.py
+++ b/tests/test_boosting_models.py
@@ -37,10 +37,10 @@ def test_shap_base_value(self):
         self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertTrue(self.explainer.get_shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
 
     def test_mean_abs_shap(self):
         self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
@@ -81,10 +81,10 @@ def test_shap_base_value(self):
         self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertTrue(self.explainer.get_shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
 
     def test_mean_abs_shap(self):
         self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
@@ -126,10 +126,10 @@ def test_shap_base_value(self):
         self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertTrue(self.explainer.get_shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
 
     def test_mean_abs_shap(self):
         self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
@@ -172,16 +172,16 @@ def test_shap_base_value(self):
         self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertTrue(self.explainer.get_shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
 
     def test_shap_values_all_probabilities(self):
         self.assertTrue(self.explainer.shap_base_value() >= 0)
         self.assertTrue(self.explainer.shap_base_value() <= 1)
-        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() >= 0))
-        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() <= 1))
+        self.assertTrue(np.all(self.explainer.get_shap_values_df().sum(axis=1) + self.explainer.shap_base_value() >= 0))
+        self.assertTrue(np.all(self.explainer.get_shap_values_df().sum(axis=1) + self.explainer.shap_base_value() <= 1))
 
     def test_mean_abs_shap(self):
         self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
@@ -201,12 +201,12 @@ def test_metrics(self):
         self.assertIsInstance(self.explainer.metrics(cutoff=0.9), dict)
 
     def test_precision_df(self):
-        self.assertIsInstance(self.explainer.precision_df(), pd.DataFrame)
-        self.assertIsInstance(self.explainer.precision_df(multiclass=True), pd.DataFrame)
-        self.assertIsInstance(self.explainer.precision_df(quantiles=4), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(multiclass=True), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(quantiles=4), pd.DataFrame)
 
     def test_lift_curve_df(self):
-        self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_liftcurve_df(), pd.DataFrame)
 
     def test_prediction_result_df(self):
         self.assertIsInstance(self.explainer.prediction_result_df(0), pd.DataFrame)
@@ -241,16 +241,16 @@ def test_shap_base_value(self):
         self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertTrue(self.explainer.get_shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
 
     def test_shap_values_all_probabilities(self):
         self.assertTrue(self.explainer.shap_base_value() >= 0)
         self.assertTrue(self.explainer.shap_base_value() <= 1)
-        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() >= 0))
-        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() <= 1))
+        self.assertTrue(np.all(self.explainer.get_shap_values_df().sum(axis=1) + self.explainer.shap_base_value() >= 0))
+        self.assertTrue(np.all(self.explainer.get_shap_values_df().sum(axis=1) + self.explainer.shap_base_value() <= 1))
 
     def test_mean_abs_shap(self):
         self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
@@ -270,12 +270,12 @@ def test_metrics(self):
         self.assertIsInstance(self.explainer.metrics(cutoff=0.9), dict)
 
     def test_precision_df(self):
-        self.assertIsInstance(self.explainer.precision_df(), pd.DataFrame)
-        self.assertIsInstance(self.explainer.precision_df(multiclass=True), pd.DataFrame)
-        self.assertIsInstance(self.explainer.precision_df(quantiles=4), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(multiclass=True), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(quantiles=4), pd.DataFrame)
 
     def test_lift_curve_df(self):
-        self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_liftcurve_df(), pd.DataFrame)
 
     def test_prediction_result_df(self):
         self.assertIsInstance(self.explainer.prediction_result_df(0), pd.DataFrame)
@@ -310,16 +310,16 @@ def test_shap_base_value(self):
         self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertTrue(self.explainer.get_shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
 
     def test_shap_values_all_probabilities(self):
         self.assertTrue(self.explainer.shap_base_value() >= 0)
         self.assertTrue(self.explainer.shap_base_value() <= 1)
-        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() >= 0))
-        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() <= 1))
+        self.assertTrue(np.all(self.explainer.get_shap_values_df().sum(axis=1) + self.explainer.shap_base_value() >= 0))
+        self.assertTrue(np.all(self.explainer.get_shap_values_df().sum(axis=1) + self.explainer.shap_base_value() <= 1))
 
     def test_mean_abs_shap(self):
         self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
@@ -339,12 +339,12 @@ def test_metrics(self):
         self.assertIsInstance(self.explainer.metrics(cutoff=0.9), dict)
 
     def test_precision_df(self):
-        self.assertIsInstance(self.explainer.precision_df(), pd.DataFrame)
-        self.assertIsInstance(self.explainer.precision_df(multiclass=True), pd.DataFrame)
-        self.assertIsInstance(self.explainer.precision_df(quantiles=4), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(multiclass=True), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(quantiles=4), pd.DataFrame)
 
     def test_lift_curve_df(self):
-        self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_liftcurve_df(), pd.DataFrame)
 
     def test_prediction_result_df(self):
         self.assertIsInstance(self.explainer.prediction_result_df(0), pd.DataFrame)
diff --git a/tests/test_cats_only.py b/tests/test_cats_only.py
index abcf102..54dce69 100644
--- a/tests/test_cats_only.py
+++ b/tests/test_cats_only.py
@@ -95,30 +95,30 @@ def test_permutation_importances_df(self):
         self.assertIsInstance(self.explainer.get_permutation_importances_df(cutoff=0.01), pd.DataFrame)
 
     def test_contrib_df(self):
-        self.assertIsInstance(self.explainer.contrib_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, topx=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, sort='importance'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0, topx=3), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0, sort='importance'), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
 
 
 
     def test_contrib_summary_df(self):
-        self.assertIsInstance(self.explainer.contrib_summary_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, topx=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, round=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='high-to-low'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='low-to-high'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='importance'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0, topx=3), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0, round=3), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0, sort='high-to-low'), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0, sort='low-to-high'), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0, sort='importance'), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
 
     def test_shap_base_value(self):
         self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertTrue(self.explainer.get_shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
 
     def test_mean_abs_shap(self):
         self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
@@ -144,10 +144,10 @@ def test_plot_importances(self):
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_shap_detailed(self):
-        fig = self.explainer.plot_importance_detailed()
+        fig = self.explainer.plot_importances_detailed()
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_importance_detailed(topx=3)
+        fig = self.explainer.plot_importances_detailed(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_dependence(self):
@@ -378,17 +378,17 @@ def test_permutation_importances_df(self):
         self.assertIsInstance(self.explainer.get_permutation_importances_df(cutoff=0.01), pd.DataFrame)
 
     def test_contrib_df(self):
-        self.assertIsInstance(self.explainer.contrib_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
 
     def test_shap_base_value(self):
         self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertTrue(self.explainer.get_shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties()
@@ -422,7 +422,7 @@ def test_plot_contributions(self):
 
 
     def test_plot_shap_detailed(self):
-        fig = self.explainer.plot_importance_detailed()
+        fig = self.explainer.plot_importances_detailed()
         self.assertIsInstance(fig, go.Figure)
 
 
@@ -481,12 +481,12 @@ def test_metrics(self):
 
 
     def test_precision_df(self):
-        self.assertIsInstance(self.explainer.precision_df(), pd.DataFrame)
-        self.assertIsInstance(self.explainer.precision_df(multiclass=True), pd.DataFrame)
-        self.assertIsInstance(self.explainer.precision_df(quantiles=4), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(multiclass=True), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(quantiles=4), pd.DataFrame)
 
     def test_lift_curve_df(self):
-        self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_liftcurve_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties()
diff --git a/tests/test_classifier_base.py b/tests/test_classifier_base.py
index 6db110e..f68b75e 100644
--- a/tests/test_classifier_base.py
+++ b/tests/test_classifier_base.py
@@ -95,30 +95,30 @@ def test_permutation_importances_df(self):
         self.assertIsInstance(self.explainer.get_permutation_importances_df(cutoff=0.01), pd.DataFrame)
 
     def test_contrib_df(self):
-        self.assertIsInstance(self.explainer.contrib_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, topx=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, sort='high-to-low'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, sort='low-to-high'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, sort='importance'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0, topx=3), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0, sort='high-to-low'), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0, sort='low-to-high'), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0, sort='importance'), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
 
     def test_contrib_summary_df(self):
-        self.assertIsInstance(self.explainer.contrib_summary_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, topx=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, round=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='low-to-high'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='high-to-low'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='importance'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0, topx=3), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0, round=3), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0, sort='low-to-high'), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0, sort='high-to-low'), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0, sort='importance'), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
 
     def test_shap_base_value(self):
         self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertTrue(self.explainer.get_shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
 
     def test_shap_interaction_values(self):
         self.assertIsInstance(self.explainer.shap_interaction_values(), np.ndarray)
@@ -132,7 +132,7 @@ def test_calculate_properties(self):
     def test_shap_interaction_values_by_col(self):
         self.assertIsInstance(self.explainer.shap_interaction_values_for_col("Age"), np.ndarray)
         self.assertEqual(self.explainer.shap_interaction_values_for_col("Age").shape, 
-                        self.explainer.shap_values_df().shape)
+                        self.explainer.get_shap_values_df().shape)
 
     def test_prediction_result_df(self):
         df = self.explainer.prediction_result_df(0)
@@ -186,10 +186,10 @@ def test_plot_contributions(self):
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_shap_detailed(self):
-        fig = self.explainer.plot_importance_detailed()
+        fig = self.explainer.plot_importances_detailed()
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_importance_detailed(topx=3)
+        fig = self.explainer.plot_importances_detailed(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_interactions_detailed(self):
diff --git a/tests/test_classifier_explainer.py b/tests/test_classifier_explainer.py
index e0110f8..f61ecae 100644
--- a/tests/test_classifier_explainer.py
+++ b/tests/test_classifier_explainer.py
@@ -45,12 +45,12 @@ def test_metrics(self):
         self.assertIsInstance(self.explainer.metrics_descriptions(cutoff=0.9), dict)
 
     def test_precision_df(self):
-        self.assertIsInstance(self.explainer.precision_df(), pd.DataFrame)
-        self.assertIsInstance(self.explainer.precision_df(multiclass=True), pd.DataFrame)
-        self.assertIsInstance(self.explainer.precision_df(quantiles=4), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(multiclass=True), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(quantiles=4), pd.DataFrame)
 
     def test_lift_curve_df(self):
-        self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_liftcurve_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties()
diff --git a/tests/test_decisiontrees.py b/tests/test_decisiontrees.py
index f5d724c..d10c4be 100644
--- a/tests/test_decisiontrees.py
+++ b/tests/test_decisiontrees.py
@@ -35,10 +35,10 @@ def test_shap_base_value(self):
         self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertTrue(self.explainer.get_shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
 
     def test_mean_abs_shap(self):
         self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
@@ -82,16 +82,16 @@ def test_shap_base_value(self):
         self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertTrue(self.explainer.get_shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
 
     def test_shap_values_all_probabilities(self):
         self.assertTrue(self.explainer.shap_base_value() >= 0)
         self.assertTrue(self.explainer.shap_base_value() <= 1)
-        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() >= -0.001))
-        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() <= 1.001))
+        self.assertTrue(np.all(self.explainer.get_shap_values_df().sum(axis=1) + self.explainer.shap_base_value() >= -0.001))
+        self.assertTrue(np.all(self.explainer.get_shap_values_df().sum(axis=1) + self.explainer.shap_base_value() <= 1.001))
 
     def test_mean_abs_shap(self):
         self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
@@ -111,12 +111,12 @@ def test_metrics(self):
         self.assertIsInstance(self.explainer.metrics(cutoff=0.9), dict)
 
     def test_precision_df(self):
-        self.assertIsInstance(self.explainer.precision_df(), pd.DataFrame)
-        self.assertIsInstance(self.explainer.precision_df(multiclass=True), pd.DataFrame)
-        self.assertIsInstance(self.explainer.precision_df(quantiles=4), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(multiclass=True), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(quantiles=4), pd.DataFrame)
 
     def test_lift_curve_df(self):
-        self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_liftcurve_df(), pd.DataFrame)
 
     def test_prediction_result_df(self):
         self.assertIsInstance(self.explainer.prediction_result_df(0), pd.DataFrame)
@@ -147,10 +147,10 @@ def test_shap_base_value(self):
         self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertTrue(self.explainer.get_shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
 
     def test_mean_abs_shap(self):
         self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
@@ -194,16 +194,16 @@ def test_shap_base_value(self):
         self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertTrue(self.explainer.get_shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
 
     def test_shap_values_all_probabilities(self):
         self.assertTrue(self.explainer.shap_base_value() >= 0)
         self.assertTrue(self.explainer.shap_base_value() <= 1)
-        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() >= -0.001))
-        self.assertTrue(np.all(self.explainer.shap_values_df().sum(axis=1) + self.explainer.shap_base_value() <= 1.001))
+        self.assertTrue(np.all(self.explainer.get_shap_values_df().sum(axis=1) + self.explainer.shap_base_value() >= -0.001))
+        self.assertTrue(np.all(self.explainer.get_shap_values_df().sum(axis=1) + self.explainer.shap_base_value() <= 1.001))
 
     def test_mean_abs_shap(self):
         self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
@@ -223,12 +223,12 @@ def test_metrics(self):
         self.assertIsInstance(self.explainer.metrics(cutoff=0.9), dict)
 
     def test_precision_df(self):
-        self.assertIsInstance(self.explainer.precision_df(), pd.DataFrame)
-        self.assertIsInstance(self.explainer.precision_df(multiclass=True), pd.DataFrame)
-        self.assertIsInstance(self.explainer.precision_df(quantiles=4), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(multiclass=True), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(quantiles=4), pd.DataFrame)
 
     def test_lift_curve_df(self):
-        self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_liftcurve_df(), pd.DataFrame)
 
     def test_prediction_result_df(self):
         self.assertIsInstance(self.explainer.prediction_result_df(0), pd.DataFrame)
\ No newline at end of file
diff --git a/tests/test_linear_model.py b/tests/test_linear_model.py
index 8817dcc..a6187f6 100644
--- a/tests/test_linear_model.py
+++ b/tests/test_linear_model.py
@@ -60,17 +60,17 @@ def test_top_interactions(self):
         self.assertIsInstance(self.explainer.top_shap_interactions("Age", topx=4), list)
 
     def test_contrib_df(self):
-        self.assertIsInstance(self.explainer.contrib_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, topx=3), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0, topx=3), pd.DataFrame)
 
     def test_shap_base_value(self):
         self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertTrue(self.explainer.get_shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
 
     def test_mean_abs_shap(self):
         self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
@@ -121,17 +121,17 @@ def test_mean_abs_shap_df(self):
         self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_contrib_df(self):
-        self.assertIsInstance(self.explainer.contrib_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, topx=3), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0, topx=3), pd.DataFrame)
 
     def test_shap_base_value(self):
         self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertTrue(self.explainer.get_shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
 
     def test_mean_abs_shap(self):
         self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
@@ -162,12 +162,12 @@ def test_metrics(self):
         self.assertIsInstance(self.explainer.metrics(cutoff=0.9), dict)
 
     def test_precision_df(self):
-        self.assertIsInstance(self.explainer.precision_df(), pd.DataFrame)
-        self.assertIsInstance(self.explainer.precision_df(multiclass=True), pd.DataFrame)
-        self.assertIsInstance(self.explainer.precision_df(quantiles=4), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(multiclass=True), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(quantiles=4), pd.DataFrame)
 
     def test_lift_curve_df(self):
-        self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_liftcurve_df(), pd.DataFrame)
 
 
 class LogisticRegressionKernelTests(unittest.TestCase):
@@ -189,5 +189,5 @@ def setUp(self):
 
     def test_shap_values(self):
         self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
-        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
\ No newline at end of file
+        self.assertTrue(self.explainer.get_shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
\ No newline at end of file
diff --git a/tests/test_multiclass.py b/tests/test_multiclass.py
index 3ba4b51..6d08b31 100644
--- a/tests/test_multiclass.py
+++ b/tests/test_multiclass.py
@@ -58,22 +58,22 @@ def test_permutation_importances_df(self):
         self.assertIsInstance(self.explainer.get_permutation_importances_df(cutoff=0.01), pd.DataFrame)
 
     def test_contrib_df(self):
-        self.assertIsInstance(self.explainer.contrib_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, topx=3), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0, topx=3), pd.DataFrame)
 
     def test_contrib_summary_df(self):
-        self.assertIsInstance(self.explainer.contrib_summary_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, topx=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, round=3), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0, topx=3), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0, round=3), pd.DataFrame)
 
     def test_shap_base_value(self):
         self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertTrue(self.explainer.get_shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
 
     def test_shap_interaction_values(self):
         self.assertIsInstance(self.explainer.shap_interaction_values(), np.ndarray)
@@ -87,7 +87,7 @@ def test_calculate_properties(self):
     def test_shap_interaction_values_by_col(self):
         self.assertIsInstance(self.explainer.shap_interaction_values_for_col("Age"), np.ndarray)
         self.assertEqual(self.explainer.shap_interaction_values_for_col("Age").shape, 
-                        self.explainer.shap_values_df().shape)
+                        self.explainer.get_shap_values_df().shape)
 
     def test_pdp_df(self):
         self.assertIsInstance(self.explainer.pdp_df("Age"), pd.DataFrame)
@@ -127,10 +127,10 @@ def test_plot_contributions(self):
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_shap_detailed(self):
-        fig = self.explainer.plot_importance_detailed()
+        fig = self.explainer.plot_importances_detailed()
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_importance_detailed(topx=3)
+        fig = self.explainer.plot_importances_detailed(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_interactions_detailed(self):
@@ -199,12 +199,12 @@ def test_metrics(self):
         self.assertIsInstance(self.explainer.metrics(cutoff=0.9), dict)
 
     def test_precision_df(self):
-        self.assertIsInstance(self.explainer.precision_df(), pd.DataFrame)
-        self.assertIsInstance(self.explainer.precision_df(multiclass=True), pd.DataFrame)
-        self.assertIsInstance(self.explainer.precision_df(quantiles=4), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(multiclass=True), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_precision_df(quantiles=4), pd.DataFrame)
 
     def test_lift_curve_df(self):
-        self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_liftcurve_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties()
diff --git a/tests/test_pipelines.py b/tests/test_pipelines.py
index afdc310..b4384d7 100644
--- a/tests/test_pipelines.py
+++ b/tests/test_pipelines.py
@@ -64,17 +64,17 @@ def test_mean_abs_shap_df(self):
         self.assertIsInstance(self.explainer.get_mean_abs_shap_df(), pd.DataFrame)
 
     def test_contrib_df(self):
-        self.assertIsInstance(self.explainer.contrib_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
 
     def test_shap_base_value(self):
         self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertTrue(self.explainer.get_shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
 
     def test_pdp_df(self):
         self.assertIsInstance(self.explainer.pdp_df("age"), pd.DataFrame)
diff --git a/tests/test_randomforest_explainer.py b/tests/test_randomforest_explainer.py
index 351f246..14c125b 100644
--- a/tests/test_randomforest_explainer.py
+++ b/tests/test_randomforest_explainer.py
@@ -24,7 +24,7 @@ def setUp(self):
 
         self.explainer = ClassifierExplainer(
                             model, X_test, y_test, 
-                            cats=['Sex', 'Cabin', 'Embarked'],
+                            cats=['Sex', 'Deck', 'Embarked'],
                             labels=['Not survived', 'Survived'])
 
     def test_graphviz_available(self):
diff --git a/tests/test_regression_base.py b/tests/test_regression_base.py
index d499646..db6f70b 100644
--- a/tests/test_regression_base.py
+++ b/tests/test_regression_base.py
@@ -97,30 +97,30 @@ def test_permutation_importances_df(self):
         self.assertIsInstance(self.explainer.get_permutation_importances_df(cutoff=0.01), pd.DataFrame)
 
     def test_contrib_df(self):
-        self.assertIsInstance(self.explainer.contrib_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, topx=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, sort='high-to-low'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, sort='low-to-high'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(0, sort='importance'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0, topx=3), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0, sort='high-to-low'), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0, sort='low-to-high'), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(0, sort='importance'), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
 
     def test_contrib_summary_df(self):
-        self.assertIsInstance(self.explainer.contrib_summary_df(0), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, topx=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, round=3), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='high-to-low'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='low-to-high'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(0, sort='importance'), pd.DataFrame)
-        self.assertIsInstance(self.explainer.contrib_summary_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0, topx=3), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0, round=3), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0, sort='high-to-low'), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0, sort='low-to-high'), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(0, sort='importance'), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_contrib_summary_df(X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
 
     def test_shap_base_value(self):
         self.assertIsInstance(self.explainer.shap_base_value(), (np.floating, float))
 
     def test_shap_values_shape(self):
-        self.assertTrue(self.explainer.shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
+        self.assertTrue(self.explainer.get_shap_values_df().shape == (len(self.explainer), len(self.explainer.merged_cols)))
 
     def test_shap_values(self):
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
 
     def test_shap_interaction_values(self):
         self.assertIsInstance(self.explainer.shap_interaction_values(), np.ndarray)
@@ -134,7 +134,7 @@ def test_calculate_properties(self):
     def test_shap_interaction_values_for_col(self):
         self.assertIsInstance(self.explainer.shap_interaction_values_for_col("Age"), np.ndarray)
         self.assertEqual(self.explainer.shap_interaction_values_for_col("Age").shape,
-                        self.explainer.shap_values_df().shape)
+                        self.explainer.get_shap_values_df().shape)
 
     def test_pdp_df(self):
         self.assertIsInstance(self.explainer.pdp_df("Age"), pd.DataFrame)
@@ -183,10 +183,10 @@ def test_plot_shap_interactions(self):
         self.assertIsInstance(fig, go.Figure)
 
     def test_plot_shap_detailed(self):
-        fig = self.explainer.plot_importance_detailed()
+        fig = self.explainer.plot_importances_detailed()
         self.assertIsInstance(fig, go.Figure)
 
-        fig = self.explainer.plot_importance_detailed(topx=3)
+        fig = self.explainer.plot_importances_detailed(topx=3)
         self.assertIsInstance(fig, go.Figure)
 
 
diff --git a/tests/test_xgboost_explainer.py b/tests/test_xgboost_explainer.py
index c9756c4..7c72eef 100644
--- a/tests/test_xgboost_explainer.py
+++ b/tests/test_xgboost_explainer.py
@@ -24,7 +24,7 @@ def setUp(self):
 
         self.explainer = ClassifierExplainer(
                             model, X_test, y_test, 
-                            cats=['Sex', 'Cabin', 'Embarked'],
+                            cats=['Sex', 'Deck', 'Embarked'],
                             idxs=test_names, 
                             labels=['Not survived', 'Survived'])
 
@@ -68,7 +68,7 @@ def setUp(self):
         self.explainer = ClassifierExplainer(
                             model, X_test, y_test, model_output='raw',
                             cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 
-                                                'Deck', 'Embarked'],
+                                                'Deck'],
                             idxs=test_names, 
                             labels=['Queenstown', 'Southampton', 'Cherbourg'])
 

From c64460f65c7b64e9d549b4eb14edebf92ad5554d Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Sat, 23 Jan 2021 21:43:30 +0100
Subject: [PATCH 20/28] fix pred_percentiles

---
 explainerdashboard/explainers.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index 2c2c4c4..ca1d357 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -646,6 +646,7 @@ def preds(self):
             self._preds = self.model.predict(self.X).astype(self.precision)
         return self._preds
     
+    @insert_pos_label
     def pred_percentiles(self, pos_label=None):
         """returns percentile rank of model predictions"""
         if not hasattr(self, '_pred_percentiles'):
@@ -892,7 +893,7 @@ def calculate_properties(self, include_interactions=True):
         Returns:
 
         """
-        _ = (self.preds,  self.pred_percentiles,
+        _ = (self.preds,  self.pred_percentiles(),
                 self.shap_base_value(), self.get_shap_values_df(),
                 self.get_mean_abs_shap_df())
         if not self.y_missing:

From aa38814f579327fb3d02506e0892cd871dbd784f Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Sat, 23 Jan 2021 21:56:18 +0100
Subject: [PATCH 21/28] fix plotly_dependence_plot

---
 explainerdashboard/explainer_plots.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/explainerdashboard/explainer_plots.py b/explainerdashboard/explainer_plots.py
index 96f011d..ad1b7bc 100644
--- a/explainerdashboard/explainer_plots.py
+++ b/explainerdashboard/explainer_plots.py
@@ -760,7 +760,7 @@ def plotly_dependence_plot(X_col, shap_values, interact_col=None,
                         x=X_col[interact_col == na_fill],
                         y=shap_values[interact_col == na_fill], 
                         mode='markers',
-                        text=text[X[interact_col_name]==na_fill],
+                        text=text[interact_col==na_fill],
                         hoverinfo="text",
                         marker=dict(size=7, 
                                     opacity=0.35,

From e6603b2ec35455157bf0b56a758ca331ea902d09 Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Wed, 27 Jan 2021 09:59:45 +0100
Subject: [PATCH 22/28] adds popouts to most graphs

---
 README.md                                     |   8 +-
 RELEASE_NOTES.md                              |  10 +-
 TODO.md                                       |   3 +
 docs/source/explainers.rst                    |  22 +-
 docs/source/index.rst                         |   4 +-
 .../classifier_components.py                  |  90 +++++++-
 .../decisiontree_components.py                |  17 +-
 .../overview_components.py                    |  22 +-
 .../regression_components.py                  |  44 +++-
 .../dashboard_components/shap_components.py   |  83 +++++--
 explainerdashboard/dashboard_methods.py       |  90 ++++++++
 explainerdashboard/explainers.py              |  17 +-
 explainerdashboard/make_callables.py          | 208 ------------------
 .../custom_examples.ipynb                     |   0
 .../dashboard_examples.ipynb                  |   0
 .../explainer_examples.ipynb                  |   4 +-
 setup.py                                      |   4 +-
 tests/test_classifier_base.py                 |   9 +
 tests/test_multiclass.py                      |   4 +
 tests/test_randomforest_explainer.py          |   8 +-
 tests/test_regression_base.py                 |   4 +
 tests/test_xgboost_explainer.py               |  14 +-
 22 files changed, 380 insertions(+), 285 deletions(-)
 delete mode 100644 explainerdashboard/make_callables.py
 rename custom_examples.ipynb => notebooks/custom_examples.ipynb (100%)
 rename dashboard_examples.ipynb => notebooks/dashboard_examples.ipynb (100%)
 rename explainer_examples.ipynb => notebooks/explainer_examples.ipynb (99%)

diff --git a/README.md b/README.md
index f20b044..1f5d191 100644
--- a/README.md
+++ b/README.md
@@ -22,7 +22,7 @@ a single [ExplainerHub](https://explainerdashboard.readthedocs.io/en/latest/hub.
 
  Examples deployed at: [titanicexplainer.herokuapp.com](http://titanicexplainer.herokuapp.com), 
  detailed documentation at [explainerdashboard.readthedocs.io](http://explainerdashboard.readthedocs.io), 
- example notebook on how to launch dashboard for different models [here](https://github.com/oegedijk/explainerdashboard/blob/master/dashboard_examples.ipynb), and an example notebook on how to interact with the explainer object [here](https://github.com/oegedijk/explainerdashboard/blob/master/explainer_examples.ipynb).
+ example notebook on how to launch dashboard for different models [here](notebooks/dashboard_examples.ipynb), and an example notebook on how to interact with the explainer object [here](notebooks/explainer_examples.ipynb).
 
  Works with `scikit-learn`, `xgboost`, `catboost`, `lightgbm` and others.
 
@@ -460,11 +460,11 @@ or with waitress (also works on Windows):
 
 Documentation can be found at [explainerdashboard.readthedocs.io](https://explainerdashboard.readthedocs.io/en/latest/).
 
-Example notebook on how to launch dashboards for different model types here: [dashboard_examples.ipynb](https://github.com/oegedijk/explainerdashboard/blob/master/dashboard_examples.ipynb).
+Example notebook on how to launch dashboards for different model types here: [dashboard_examples.ipynb](notebooks/dashboard_examples.ipynb).
 
-Example notebook on how to interact with the explainer object here: [explainer_examples.ipynb](https://github.com/oegedijk/explainerdashboard/blob/master/explainer_examples.ipynb).
+Example notebook on how to interact with the explainer object here: [explainer_examples.ipynb](notebooks/explainer_examples.ipynb).
 
-Example notebook on how to design a custom dashboard: [custom_examples.ipynb](https://github.com/oegedijk/explainerdashboard/blob/master/custom_examples.ipynb).
+Example notebook on how to design a custom dashboard: [custom_examples.ipynb](notebooks/custom_examples.ipynb).
 
 
 
diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index 311d42e..f19b03b 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -63,8 +63,8 @@ needed breaking changes at once.
         - `lift_curve_df()` -> `get_liftcurve_df()` *
     -`RandomForestExplainer`/`XGBExplainer`:
         - `self.decision_trees` -> `self.shadow_trees`
-        - `self.decisiontree_df()` -> `self.decisionpath_df()`
-        - `self.decisiontree_summary_df()` -> `self.decisionpath_summary_df()`
+        - `self.decisiontree_df()` -> `self.get_decisionpath_df()`
+        - `self.decisiontree_summary_df()` -> `self.get_decisionpath_summary_df()`
         - `self.decision_path_file()` -> `self.decisiontree_file()`
         - `self.decision_path()` -> `self.decisiontree()`
         - `self.decision_path_encoded()` -> `self.decisiontree_encoded()`
@@ -81,12 +81,12 @@ needed breaking changes at once.
         and `.set_y_func()`.
     - by overriding these functions you can for example sample observations 
         from a database or other storage instead of from `X_test`, `y_test`.
-- added `max_cat_colors` parameters to `plot_shap_summary` and `plot_shap_dependence` and `plot_shap_interaction`
+- added `max_cat_colors` parameters to `plot_importance_detailed` and `plot_dependence` and `plot_interactions_detailed`
     - prevents plotting getting slow with categorical features with many categories.
     - defaults to 5
     - can be set as `**kwarg` to `ExplainerDashboard`
 - adds category limits and sorting to `RegressionVsCol` component
-- adds property `X_merged` that gives a dataframe with onehot columns merged.
+- adds property `X_merged` that gives a dataframe with the onehot columns merged.
 
 ### Bug Fixes
 - shap dependence: when no point cloud, do not highlight!
@@ -102,6 +102,8 @@ needed breaking changes at once.
 - added base `TreeExplainer` class that `RandomForestExplainer` and `XGBExplainer` both derive from
     - will make it easier to extend tree explainers to other models in the future
         - e.g. catboost and lightgbm
+- got rid of the callable properties (that were their to assure backward compatibility),
+    and replaced them with regular methods.
 
 ### Other Changes
 -
diff --git a/TODO.md b/TODO.md
index b264e0d..fe65320 100644
--- a/TODO.md
+++ b/TODO.md
@@ -34,6 +34,8 @@
 
 
 ## Explainers:
+- with binary classifiers only keep shap values of positive class, return -shap
+    for negative class.
 - pass n_jobs to pdp_isolate
 - add ExtraTrees and GradientBoostingClassifier to tree visualizers
 - add plain language explanations
@@ -47,6 +49,7 @@
 
 
 ## Dashboard:
+- add popout button
 - add SimpleClassifierDashboard
 - add SimpleRegressionDashboard
 - Add EDA style feature histograms, bar charts, correlation graphs, etc
diff --git a/docs/source/explainers.rst b/docs/source/explainers.rst
index 17ee66f..6d025df 100644
--- a/docs/source/explainers.rst
+++ b/docs/source/explainers.rst
@@ -334,7 +334,7 @@ example code::
     explainer.plot_roc_auc(cutoff=0.7)
     explainer.plot_pr_auc(cutoff=0.3)
 
-More examples in the `notebook on the github repo. <https://github.com/oegedijk/explainerdashboard/blob/master/explainer_examples.ipynb>`_
+More examples in the `notebook on the github repo. <https://github.com/oegedijk/explainerdashboard/blob/master/notebooks/explainer_examples.ipynb>`_
 
 plot_precision
 ^^^^^^^^^^^^^^
@@ -410,8 +410,8 @@ through a specific decision tree.
 You can also plot the individual predictions of each individual tree for 
 specific row in your data indentified by ``index``::
 
-    explainer.decisionpath_df(tree_idx, index)
-    explainer.decisionpath_summary_df(tree_idx, index)
+    explainer.get_decisionpath_df(tree_idx, index)
+    explainer.get_decisionpath_summary_df(tree_idx, index)
     explainer.plot_trees(index)
 
 And for dtreeviz visualization of individual decision trees (svg format)::
@@ -577,15 +577,15 @@ with the following additional methods::
     decision_path(tree_idx, index)
 
 
-decisionpath_df
+get_decisionpath_df
 ^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisionpath_df
+.. automethod:: explainerdashboard.explainers.RandomForestExplainer.get_decisionpath_df
 
-decisionpath_summary_df
+get_decisionpath_summary_df
 ^^^^^^^^^^^^^^^^^^^^^^^
 
-.. automethod:: explainerdashboard.explainers.RandomForestExplainer.decisionpath_summary_df
+.. automethod:: explainerdashboard.explainers.RandomForestExplainer.get_decisionpath_summary_df
 
 decisiontree_file
 ^^^^^^^^^^^^^^^^^^
@@ -691,7 +691,7 @@ multilabel classifier you can set the positive class with e.g. ``explainer.pos_l
 This will make sure that for example ``explainer.pred_probas`` will return the probability
 of that label. 
 
-More examples in the `notebook on the github repo. <https://github.com/oegedijk/explainerdashboard/blob/master/explainer_examples.ipynb>`_
+More examples in the `notebook on the github repo. <https://github.com/oegedijk/explainerdashboard/blob/master/notebooks/explainer_examples.ipynb>`_
 
 
 .. autoclass:: explainerdashboard.explainers.ClassifierExplainer
@@ -709,7 +709,7 @@ For regression models (e.g. ``RandomForestRegressor``) models you use ``Regressi
 
 You can pass ``units`` as an additional parameter for the units of the target variable (e.g. ``units="$"``). 
 
-More examples in the `notebook on the github repo. <https://github.com/oegedijk/explainerdashboard/blob/master/explainer_examples.ipynb>`_
+More examples in the `notebook on the github repo. <https://github.com/oegedijk/explainerdashboard/blob/master/notebooks/explainer_examples.ipynb>`_
 
 .. autoclass:: explainerdashboard.explainers.RegressionExplainer
    :members: random_index, residuals, metrics, plot_predicted_vs_actual, 
@@ -729,7 +729,7 @@ the average off. This Mixin class will be automatically included
 whenever you pass a ``RandomForestClassifier`` or ``RandomForestRegressor`` model.
 
 .. autoclass:: explainerdashboard.explainers.RandomForestExplainer
-   :members: decisionpath_df, decisionpath_summary_df, plot_trees, decisiontree, decisiontree_file, decisiontree_encoded
+   :members: get_decisionpath_df, get_decisionpath_summary_df, plot_trees, decisiontree, decisiontree_file, decisiontree_encoded
    :member-order: bysource
    :exclude-members: 
    :noindex:
@@ -748,7 +748,7 @@ whenever you pass a ``XGBClassifier`` or ``XGBRegressor`` model.
 
 
 .. autoclass:: explainerdashboard.explainers.XGBExplainer
-   :members: decisionpath_df, decisionpath_summary_df, plot_trees, decisiontree, decisiontree_file, decisiontree_encoded
+   :members: get_decisionpath_df, get_decisionpath_summary_df, plot_trees, decisiontree, decisiontree_file, decisiontree_encoded
    :member-order: bysource
    :exclude-members: 
    :noindex:
diff --git a/docs/source/index.rst b/docs/source/index.rst
index cdf5814..cc7fefc 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -133,11 +133,11 @@ A more elaborate example of  :ref:`a custom dashboard<CustomModelTab>`
 
 
 More examples of how to start dashboards for different types of models and with 
-different parameters can be found in the `dashboard_examples notebook <https://github.com/oegedijk/explainerdashboard/blob/master/dashboard_examples.ipynb>`_ 
+different parameters can be found in the `dashboard_examples notebook <https://github.com/oegedijk/explainerdashboard/blob/master/notebooks/dashboard_examples.ipynb>`_ 
 in the github repo.
 
 For examples on how to interact with and get plots and dataframes out of the explainer
-object check out `explainer_examples notebook  <https://github.com/oegedijk/explainerdashboard/blob/master/explainer_examples.ipynb>`_
+object check out `explainer_examples notebook  <https://github.com/oegedijk/explainerdashboard/blob/master/notebooks/explainer_examples.ipynb>`_
 in the github repo.
 
 
diff --git a/explainerdashboard/dashboard_components/classifier_components.py b/explainerdashboard/dashboard_components/classifier_components.py
index c08446c..f9d5878 100644
--- a/explainerdashboard/dashboard_components/classifier_components.py
+++ b/explainerdashboard/dashboard_components/classifier_components.py
@@ -388,7 +388,8 @@ def __init__(self, explainer, title="Precision Plot", name=None,
                     subtitle="Does fraction positive increase with predicted probability?",
                     hide_title=False, hide_subtitle=False, hide_footer=False,
                     hide_cutoff=False, hide_binsize=False, hide_binmethod=False,
-                    hide_multiclass=False, hide_selector=False, pos_label=None,
+                    hide_multiclass=False, hide_selector=False, hide_popout=False, 
+                    pos_label=None,
                     bin_size=0.1, quantiles=10, cutoff=0.5,
                     quantiles_or_binsize='bin_size', multiclass=False, description=None, 
                     **kwargs):
@@ -412,6 +413,7 @@ def __init__(self, explainer, title="Precision Plot", name=None,
             hide_binmethod (bool, optional): Hide binsize/quantiles toggle. Defaults to False.
             hide_multiclass (bool, optional): Hide multiclass toggle. Defaults to False.
             hide_selector (bool, optional): Hide pos label selector. Default to True.
+            hide_popout (bool, optional): hide popout button
             pos_label ({int, str}, optional): initial pos label. Defaults to explainer.pos_label
             bin_size (float, optional): Size of bins in probability space. Defaults to 0.1.
             quantiles (int, optional): Number of quantiles to divide plot. Defaults to 10.
@@ -426,6 +428,8 @@ def __init__(self, explainer, title="Precision Plot", name=None,
         self.cutoff_name = 'precision-cutoff-' + self.name
 
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
+        
+
         if self.description is None: self.description = f"""
         On this plot you can see the relation between the predicted probability
         that a {self.explainer.index_name} belongs to the positive class, and
@@ -436,6 +440,8 @@ def __init__(self, explainer, title="Precision Plot", name=None,
         from the bottom left corner to the top right corner. A strong model would
         classify most observations correctly and close to 0% or 100% probability.
         """
+        self.popout = GraphPopout('precision-'+self.name+'popout', 'precision-graph-'+self.name, 
+                            self.title, self.description)
         self.register_dependencies("preds", "pred_probas", "pred_percentiles")
 
     def layout(self):
@@ -461,6 +467,12 @@ def layout(self):
                         ], style={'margin': 0}),
                     ])
                 ]),
+                dbc.Row([
+                    make_hideable(
+                        dbc.Col([
+                            self.popout.layout()
+                        ], md=2, align="start"), hide=self.hide_popout),
+                ], justify="end"),
             ]),
             make_hideable(
             dbc.CardFooter([
@@ -597,7 +609,7 @@ def __init__(self, explainer, title="Confusion Matrix", name=None,
                     subtitle="How many false positives and false negatives?",
                     hide_title=False, hide_subtitle=False, hide_footer=False,
                     hide_cutoff=False, hide_percentage=False, hide_binary=False,
-                    hide_selector=False, pos_label=None,
+                    hide_selector=False, hide_popout=False, pos_label=None,
                     cutoff=0.5, percentage=True, binary=True, description=None,
                     **kwargs):
         """Display confusion matrix component
@@ -618,6 +630,7 @@ def __init__(self, explainer, title="Confusion Matrix", name=None,
             hide_percentage (bool, optional): Hide percentage toggle. Defaults to False.
             hide_binary (bool, optional): Hide binary toggle. Defaults to False.
             hide_selector(bool, optional): hide pos label selector. Defaults to False.
+            hide_popout (bool, optional): hide popout button. Defaults to False.
             pos_label ({int, str}, optional): initial pos label. Defaults to explainer.pos_label
             cutoff (float, optional): Default cutoff. Defaults to 0.5.
             percentage (bool, optional): Display percentages instead of counts. Defaults to True.
@@ -644,6 +657,8 @@ def __init__(self, explainer, title="Confusion Matrix", name=None,
         """
 
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
+        self.popout = GraphPopout('confusionmatrix-'+self.name+'popout', 'confusionmatrix-graph-'+self.name, 
+                            self.title, self.description)
         self.register_dependencies("preds", "pred_probas", "pred_percentiles")
 
     def layout(self):
@@ -662,7 +677,13 @@ def layout(self):
                         dbc.Col([self.selector.layout()], width=3), hide=self.hide_selector)
                 ], justify="end"),
                 dcc.Graph(id='confusionmatrix-graph-'+self.name,
-                                            config=dict(modeBarButtons=[['toImage']], displaylogo=False)),
+                                config=dict(modeBarButtons=[['toImage']], displaylogo=False)),
+                dbc.Row([
+                    make_hideable(
+                        dbc.Col([
+                            self.popout.layout()
+                        ], md=2, align="start"), hide=self.hide_popout),
+                ], justify="end"),
             ]),
             make_hideable(
             dbc.CardFooter([
@@ -736,7 +757,8 @@ def __init__(self, explainer, title="Lift Curve", name=None,
                     subtitle="Performance how much better than random?",
                     hide_title=False, hide_subtitle=False, hide_footer=False,
                     hide_cutoff=False, hide_percentage=False, hide_wizard=False,
-                    hide_selector=False, pos_label=None, cutoff=0.5, percentage=True, 
+                    hide_selector=False, hide_popout=False, pos_label=None, 
+                    cutoff=0.5, percentage=True, 
                     wizard=True, description=None,
                     **kwargs):
         """Show liftcurve component
@@ -757,6 +779,7 @@ def __init__(self, explainer, title="Lift Curve", name=None,
             hide_percentage (bool, optional): Hide percentage toggle. Defaults to False.
             hide_wizard (bool, optional): hide the wizard toggle. Defaults to False.
             hide_selector(bool, optional): hide pos label selector. Defaults to False.
+            hide_popout (bool, optional): hide popout button. Defaults to False.
             pos_label ({int, str}, optional): initial pos label. Defaults to explainer.pos_label
             cutoff (float, optional): Cutoff for lift curve. Defaults to 0.5.
             percentage (bool, optional): Display percentages instead of counts. Defaults to True.
@@ -769,11 +792,15 @@ def __init__(self, explainer, title="Lift Curve", name=None,
         self.cutoff_name = 'liftcurve-cutoff-' + self.name
 
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
+        
         if self.description is None: self.description = """
         The lift curve shows you the percentage of positive classes when you only
         select observations with a score above cutoff vs selecting observations
         randomly. This shows you how much better the model is than random (the lift).
         """
+
+        self.popout = GraphPopout('liftcurve-'+self.name+'popout', 'liftcurve-graph-'+self.name, 
+                        self.title, self.description)
         self.register_dependencies("preds", "pred_probas", "pred_percentiles")
 
     def layout(self):
@@ -795,6 +822,12 @@ def layout(self):
                     dcc.Graph(id='liftcurve-graph-'+self.name,
                                 config=dict(modeBarButtons=[['toImage']], displaylogo=False)),
                 ], style={'margin': 0}),
+                dbc.Row([
+                    make_hideable(
+                        dbc.Col([
+                            self.popout.layout()
+                        ], md=2, align="start"), hide=self.hide_popout),
+                ], justify="end"),
             ]),
             make_hideable(
             dbc.CardFooter([
@@ -866,7 +899,7 @@ class CumulativePrecisionComponent(ExplainerComponent):
     def __init__(self, explainer, title="Cumulative Precision", name=None,
                     subtitle="Expected distribution for highest scores",
                     hide_title=False, hide_subtitle=False, hide_footer=False,
-                    hide_selector=False, pos_label=None,
+                    hide_selector=False, hide_popout=False, pos_label=None,
                     hide_cutoff=False, cutoff=None,
                     hide_percentile=False, percentile=None, description=None,
                     **kwargs):
@@ -885,6 +918,7 @@ def __init__(self, explainer, title="Cumulative Precision", name=None,
             hide_subtitle (bool, optional): Hide subtitle. Defaults to False.
             hide_footer (bool, optional): hide the footer at the bottom of the component
             hide_selector(bool, optional): hide pos label selector. Defaults to False.
+            hide_popout (bool, optional): hide popout button. Defaults to False.
             pos_label ({int, str}, optional): initial pos label. Defaults to explainer.pos_label
             
         """
@@ -897,6 +931,9 @@ def __init__(self, explainer, title="Cumulative Precision", name=None,
         This plot shows the percentage of each label that you can expect when you
         only sample the top x% highest scores. 
         """
+        self.popout = GraphPopout('cumulative-precision-'+self.name+'popout', 
+                        'cumulative-precision-graph-'+self.name, 
+                        self.title, self.description)
         self.register_dependencies("preds", "pred_probas", "pred_percentiles")
 
     def layout(self):
@@ -914,6 +951,12 @@ def layout(self):
                     dcc.Graph(id='cumulative-precision-graph-'+self.name,
                                 config=dict(modeBarButtons=[['toImage']], displaylogo=False)),
                 ], style={'margin': 0}),
+                dbc.Row([
+                    make_hideable(
+                        dbc.Col([
+                            self.popout.layout()
+                        ], md=2, align="start"), hide=self.hide_popout),
+                ], justify="end"),
             ]),
             make_hideable(
             dbc.CardFooter([
@@ -987,6 +1030,7 @@ def __init__(self, explainer, title="Classification Plot", name=None,
                     subtitle="Distribution of labels above and below cutoff",
                     hide_title=False, hide_subtitle=False, hide_footer=False,
                     hide_cutoff=False, hide_percentage=False, hide_selector=False,
+                    hide_popout=False, 
                     pos_label=None, cutoff=0.5, percentage=True, description=None,
                     **kwargs):
         """Shows a barchart of the number of classes above the cutoff and below
@@ -1007,6 +1051,7 @@ def __init__(self, explainer, title="Classification Plot", name=None,
             hide_cutoff (bool, optional): Hide cutoff slider. Defaults to False.
             hide_percentage (bool, optional): Hide percentage toggle. Defaults to False.
             hide_selector(bool, optional): hide pos label selector. Defaults to False.
+            hide_popout (bool, optional): hide popout button. Defaults to False.
             pos_label ({int, str}, optional): initial pos label. Defaults to explainer.pos_label
             cutoff (float, optional): Cutoff for prediction. Defaults to 0.5.
             percentage (bool, optional): Show percentage instead of counts. Defaults to True.
@@ -1018,9 +1063,14 @@ def __init__(self, explainer, title="Classification Plot", name=None,
         self.cutoff_name = 'classification-cutoff-' + self.name
 
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
+        
+
         if self.description is None: self.description = """
         Plot showing the fraction of each class above and below the cutoff.
         """
+
+        self.popout = GraphPopout('classification-'+self.name+'popout', 
+                            'classification-graph-'+self.name, self.title, self.description)
         self.register_dependencies("preds", "pred_probas", "pred_percentiles")
 
     def layout(self):
@@ -1042,6 +1092,12 @@ def layout(self):
                     dcc.Graph(id='classification-graph-'+self.name,
                                 config=dict(modeBarButtons=[['toImage']], displaylogo=False)),
                 ], style={'margin': 0}),
+                dbc.Row([
+                    make_hideable(
+                        dbc.Col([
+                            self.popout.layout()
+                        ], md=2, align="start"), hide=self.hide_popout),
+                ], justify="end"),
             ]),
             make_hideable(
             dbc.CardFooter([
@@ -1095,7 +1151,7 @@ class RocAucComponent(ExplainerComponent):
     def __init__(self, explainer, title="ROC AUC Plot", name=None, 
                     subtitle="Trade-off between False positives and false negatives",
                     hide_title=False, hide_subtitle=False, hide_footer=False,
-                    hide_cutoff=False, hide_selector=False,
+                    hide_cutoff=False, hide_selector=False, hide_popout=False, 
                     pos_label=None, cutoff=0.5, description=None,
                     **kwargs):
         """Show ROC AUC curve component
@@ -1114,6 +1170,7 @@ def __init__(self, explainer, title="ROC AUC Plot", name=None,
             hide_footer (bool, optional): hide the footer at the bottom of the component
             hide_cutoff (bool, optional): Hide cutoff slider. Defaults to False.
             hide_selector(bool, optional): hide pos label selector. Defaults to False.
+            hide_popout (bool, optional): hide popout button. Defaults to False.
             pos_label ({int, str}, optional): initial pos label. Defaults to explainer.pos_label
             cutoff (float, optional): default cutoff. Defaults to 0.5.
 
@@ -1123,8 +1180,11 @@ def __init__(self, explainer, title="ROC AUC Plot", name=None,
         self.cutoff_name = 'rocauc-cutoff-' + self.name
         
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
+        
         if self.description is None: self.description = """
         """
+        self.popout = GraphPopout('rocauc-'+self.name+'popout', 
+                            'rocauc-graph-'+self.name, self.title, self.description)
         self.register_dependencies("preds", "pred_probas", "pred_percentiles")
 
     def layout(self):
@@ -1144,6 +1204,12 @@ def layout(self):
                     ], justify="end"),
                 dcc.Graph(id='rocauc-graph-'+self.name,
                         config=dict(modeBarButtons=[['toImage']], displaylogo=False)),
+                dbc.Row([
+                    make_hideable(
+                        dbc.Col([
+                            self.popout.layout()
+                        ], md=2, align="start"), hide=self.hide_popout),
+                ], justify="end"),
             ]),
             make_hideable(
             dbc.CardFooter([
@@ -1180,7 +1246,7 @@ class PrAucComponent(ExplainerComponent):
     def __init__(self, explainer, title="PR AUC Plot", name=None,
                     subtitle="Trade-off between Precision and Recall",
                     hide_title=False, hide_subtitle=False, hide_footer=False,
-                    hide_cutoff=False, hide_selector=False,
+                    hide_cutoff=False, hide_selector=False, hide_popout=False, 
                     pos_label=None, cutoff=0.5, description=None,
                     **kwargs):
         """Display PR AUC plot component
@@ -1199,6 +1265,7 @@ def __init__(self, explainer, title="PR AUC Plot", name=None,
             hide_footer (bool, optional): hide the footer at the bottom of the component
             hide_cutoff (bool, optional): hide cutoff slider. Defaults to False.
             hide_selector(bool, optional): hide pos label selector. Defaults to False.
+            hide_popout (bool, optional): hide popout button. Defaults to False.
             pos_label ({int, str}, optional): initial pos label. Defaults to explainer.pos_label
             cutoff (float, optional): default cutoff. Defaults to 0.5.
             description (str, optional): Tooltip to display when hover over
@@ -1209,9 +1276,12 @@ def __init__(self, explainer, title="PR AUC Plot", name=None,
         self.cutoff_name = 'prauc-cutoff-' + self.name
 
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
+        
         if self.description is None: self.description = """
         Show the trade-off between Precision and Recall in one plot.
         """
+        self.popout = GraphPopout('prauc-'+self.name+'popout', 
+                    'prauc-graph-'+self.name, self.title, self.description)
         self.register_dependencies("preds", "pred_probas", "pred_percentiles")
 
     def layout(self):
@@ -1231,6 +1301,12 @@ def layout(self):
                     ], justify="end"),
                 dcc.Graph(id='prauc-graph-'+self.name,
                         config=dict(modeBarButtons=[['toImage']], displaylogo=False)),
+                dbc.Row([
+                    make_hideable(
+                        dbc.Col([
+                            self.popout.layout()
+                        ], md=2, align="start"), hide=self.hide_popout),
+                ], justify="end"),
             ]),
             make_hideable(
             dbc.CardFooter([
diff --git a/explainerdashboard/dashboard_components/decisiontree_components.py b/explainerdashboard/dashboard_components/decisiontree_components.py
index 40a483b..09af6d9 100644
--- a/explainerdashboard/dashboard_components/decisiontree_components.py
+++ b/explainerdashboard/dashboard_components/decisiontree_components.py
@@ -24,7 +24,7 @@ def __init__(self, explainer, title="Decision Trees", name=None,
                     subtitle="Displaying individual decision trees",
                     hide_title=False,  hide_subtitle=False,
                     hide_index=False, hide_highlight=False,
-                    hide_selector=False,
+                    hide_selector=False, hide_popout=False,
                     pos_label=None, index=None, highlight=None, 
                     higher_is_better=True, description=None, **kwargs):
         """Show prediction from individual decision trees inside RandomForest component
@@ -43,6 +43,7 @@ def __init__(self, explainer, title="Decision Trees", name=None,
             hide_index (bool, optional): Hide index selector. Defaults to False.
             hide_highlight (bool, optional): Hide tree highlight selector. Defaults to False.
             hide_selector (bool, optional): hide pos label selectors. Defaults to False.
+            hide_popout (bool, optional): hide popout button
             pos_label ({int, str}, optional): initial pos label. 
                         Defaults to explainer.pos_label
             index ({str, int}, optional): Initial index to display. Defaults to None.
@@ -59,6 +60,7 @@ def __init__(self, explainer, title="Decision Trees", name=None,
 
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
         
+        
         if isinstance(self.explainer, RandomForestExplainer):
             if self.description is None: self.description = """
             Show the prediction of every individul tree in a random forest.
@@ -77,6 +79,9 @@ def __init__(self, explainer, title="Decision Trees", name=None,
                 self.subtitle += " inside xgboost model"
         else:
             if self.description is None: self.description = ""
+
+        self.popout = GraphPopout('decisiontrees-'+self.name+'popout', 
+                        "decisiontrees-graph-"+self.name, self.title, self.description)
         self.register_dependencies("preds", "pred_probas")
 
     def layout(self):
@@ -122,6 +127,12 @@ def layout(self):
                                     config=dict(modeBarButtons=[['toImage']], displaylogo=False)),  
                     ])
                 ]),
+                dbc.Row([
+                    make_hideable(
+                        dbc.Col([
+                            self.popout.layout()
+                        ], md=2, align="start"), hide=self.hide_popout),
+                ], justify="end"),
             ])   
         ])
 
@@ -250,9 +261,9 @@ def component_callbacks(self, app):
         )
         def update_decisiontree_table(index, highlight, pos_label):
             if index is not None and highlight is not None:
-                decisionpath_df = self.explainer.decisionpath_summary_df(
+                get_decisionpath_df = self.explainer.get_decisionpath_summary_df(
                     int(highlight), index, pos_label=pos_label)
-                return dbc.Table.from_dataframe(decisionpath_df)
+                return dbc.Table.from_dataframe(get_decisionpath_df)
             raise PreventUpdate
 
 
diff --git a/explainerdashboard/dashboard_components/overview_components.py b/explainerdashboard/dashboard_components/overview_components.py
index fd0f98a..30cfd6d 100644
--- a/explainerdashboard/dashboard_components/overview_components.py
+++ b/explainerdashboard/dashboard_components/overview_components.py
@@ -110,7 +110,7 @@ def update_output_div(index, include_percentile, pos_label):
 class ImportancesComponent(ExplainerComponent):
     def __init__(self, explainer, title="Feature Importances", name=None,
                         subtitle="Which features had the biggest impact?",
-                        hide_type=False, hide_depth=False, 
+                        hide_type=False, hide_depth=False, hide_popout=False,
                         hide_title=False,  hide_subtitle=False, hide_selector=False,
                         pos_label=None, importance_type="shap", depth=None, 
                         no_permutations=False,
@@ -130,7 +130,7 @@ def __init__(self, explainer, title="Feature Importances", name=None,
                         Defaults to False.
             hide_depth (bool, optional): Hide number of features toggle. 
                         Defaults to False.
-
+            hide_popout (bool, optional): hide popout button
             hide_title (bool, optional): hide title. Defaults to False.
             hide_subtitle (bool, optional): Hide subtitle. Defaults to False.
             hide_selector (bool, optional): hide pos label selectors. 
@@ -166,6 +166,8 @@ def __init__(self, explainer, title="Feature Importances", name=None,
         does the model get worse when you shuffle this feature, rendering it
         useless?).
         """
+        self.popout = GraphPopout('importances-'+self.name+'popout', 
+                            'importances-graph-'+self.name, self.title, self.description)
         self.register_dependencies('shap_values_df')
         if not (self.hide_type and self.importance_type == 'shap'):
             self.register_dependencies('permutation_importances')
@@ -224,6 +226,12 @@ def layout(self):
                                         config=dict(modeBarButtons=[['toImage']], displaylogo=False))),
                     ]),
                 ]), 
+                dbc.Row([
+                    make_hideable(
+                        dbc.Col([
+                            self.popout.layout()
+                        ], md=2, align="start"), hide=self.hide_popout),
+                ], justify="end"),
             ])         
         ])
         
@@ -246,7 +254,7 @@ def __init__(self, explainer, title="Partial Dependence Plot", name=None,
                     subtitle="How does the prediction change if you change one feature?",
                     hide_col=False, hide_index=False, 
                     hide_title=False,  hide_subtitle=False, 
-                    hide_footer=False, hide_selector=False,
+                    hide_footer=False, hide_selector=False, hide_popout=False, 
                     hide_dropna=False, hide_sample=False, 
                     hide_gridlines=False, hide_gridpoints=False, hide_cats_sort=False,
                     feature_input_component=None,
@@ -271,6 +279,7 @@ def __init__(self, explainer, title="Partial Dependence Plot", name=None,
             hide_subtitle (bool, optional): Hide subtitle. Defaults to False.
             hide_footer (bool, optional): hide the footer at the bottom of the component
             hide_selector (bool, optional): hide pos label selectors. Defaults to False.
+            hide_popout (bool, optional): hide popout button
             hide_dropna (bool, optional): Hide drop na's toggle Defaults to False.
             hide_sample (bool, optional): Hide sample size input. Defaults to False.
             hide_gridlines (bool, optional): Hide gridlines input. Defaults to False.
@@ -314,6 +323,7 @@ def __init__(self, explainer, title="Partial Dependence Plot", name=None,
         x-axis to calculate model predictions for (gridpoints).
         """
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
+        self.popout = GraphPopout('pdp-'+self.name+'popout', 'pdp-graph-'+self.name, self.title, self.description)
 
     def layout(self):
         return dbc.Card([
@@ -359,6 +369,12 @@ def layout(self):
                                                     config=dict(modeBarButtons=[['toImage']], displaylogo=False))]),
                         ])
                     ]),
+                    dbc.Row([
+                        make_hideable(
+                            dbc.Col([
+                                self.popout.layout()
+                            ], md=2, align="start"), hide=self.hide_popout),
+                    ], justify="end"),
                 ]),
                 make_hideable(
                 dbc.CardFooter([
diff --git a/explainerdashboard/dashboard_components/regression_components.py b/explainerdashboard/dashboard_components/regression_components.py
index 57ed0a9..035ffe7 100644
--- a/explainerdashboard/dashboard_components/regression_components.py
+++ b/explainerdashboard/dashboard_components/regression_components.py
@@ -481,7 +481,7 @@ class PredictedVsActualComponent(ExplainerComponent):
     def __init__(self, explainer, title="Predicted vs Actual", name=None,
                     subtitle="How close is the predicted value to the observed?",
                     hide_title=False, hide_subtitle=False, 
-                    hide_log_x=False, hide_log_y=False,
+                    hide_log_x=False, hide_log_y=False, hide_popout=False, 
                     logs=False, log_x=False, log_y=False, round=3,
                     description=None,
                     **kwargs):
@@ -500,6 +500,7 @@ def __init__(self, explainer, title="Predicted vs Actual", name=None,
             hide_subtitle (bool, optional): Hide subtitle. Defaults to False.
             hide_log_x (bool, optional): Hide the log_x toggle. Defaults to False.
             hide_log_y (bool, optional): Hide the log_y toggle. Defaults to False.
+            hide_popout (bool, optional): hide popout button. Defaults to False.
             logs (bool, optional): Whether to use log axis. Defaults to False.
             log_x (bool, optional): log only x axis. Defaults to False.
             log_y (bool, optional): log only y axis. Defaults to False.
@@ -512,6 +513,8 @@ def __init__(self, explainer, title="Predicted vs Actual", name=None,
         
         self.logs, self.log_x, self.log_y = logs, log_x, log_y
 
+        
+
         if self.description is None: self.description = f"""
         Plot shows the observed {self.explainer.target} and the predicted 
         {self.explainer.target} in the same plot. A perfect model would have
@@ -519,6 +522,9 @@ def __init__(self, explainer, title="Predicted vs Actual", name=None,
         away point are from the diagonal the worse the model is in predicting
         {self.explainer.target}.
         """
+
+        self.popout = GraphPopout('pred-vs-actual-'+self.name+'popout', 
+                    'pred-vs-actual-graph-'+self.name, self.title, self.description)
         self.register_dependencies(['preds'])
 
     def layout(self):
@@ -573,6 +579,12 @@ def layout(self):
                             ], check=True),
                         ], md=2), hide=self.hide_log_x),
                 ], justify="center"),
+                dbc.Row([
+                    make_hideable(
+                        dbc.Col([
+                            self.popout.layout()
+                        ], md=2, align="start"), hide=self.hide_popout),
+                ], justify="end"),
             ]), 
         ])
 
@@ -589,7 +601,7 @@ class ResidualsComponent(ExplainerComponent):
     def __init__(self, explainer, title="Residuals", name=None,
                     subtitle="How much is the model off?",
                     hide_title=False, hide_subtitle=False, hide_footer=False,
-                    hide_pred_or_actual=False, hide_ratio=False,
+                    hide_pred_or_actual=False, hide_ratio=False, hide_popout=False, 
                     pred_or_actual="vs_pred", residuals="difference",
                     round=3, description=None, **kwargs):
         """Residuals plot component
@@ -609,6 +621,7 @@ def __init__(self, explainer, title="Residuals", name=None,
             hide_pred_or_actual (bool, optional): hide vs predictions or vs 
                         actual for x-axis toggle. Defaults to False.
             hide_ratio (bool, optional): hide residual type dropdown. Defaults to False.
+            hide_popout (bool, optional): hide popout button. Defaults to False.
             pred_or_actual (str, {'vs_actual', 'vs_pred'}, optional): Whether 
                         to plot actual or predictions on the x-axis. 
                         Defaults to "vs_pred".
@@ -624,6 +637,7 @@ def __init__(self, explainer, title="Residuals", name=None,
         assert residuals in ['difference', 'ratio', 'log-ratio'], \
             ("parameter residuals should in ['difference', 'ratio', 'log-ratio']"
              f" but you passed residuals={residuals}")
+
         if self.description is None: self.description = f"""
         The residuals are the difference between the observed {self.explainer.target}
         and predicted {self.explainer.target}. In this plot you can check if 
@@ -631,6 +645,9 @@ def __init__(self, explainer, title="Residuals", name=None,
         So you can check if the model works better or worse for different {self.explainer.target}
         levels.
         """
+
+        self.popout = GraphPopout('residuals-'+self.name+'popout', 
+                    'residuals-graph-'+self.name, self.title, self.description)
         self.register_dependencies(['preds', 'residuals'])
 
     def layout(self):
@@ -649,7 +666,13 @@ def layout(self):
                         dcc.Graph(id='residuals-graph-'+self.name,
                                 config=dict(modeBarButtons=[['toImage']], displaylogo=False)),
                     ])
-                ])
+                ]),
+                dbc.Row([
+                    make_hideable(
+                        dbc.Col([
+                            self.popout.layout()
+                        ], md=2, align="start"), hide=self.hide_popout),
+                ], justify="end"),
             ]),
             make_hideable(
             dbc.CardFooter([
@@ -688,7 +711,7 @@ def layout(self):
             ]), hide=self.hide_footer)
         ])
 
-    def register_callbacks(self, app):
+    def component_callbacks(self, app):
         @app.callback(
             Output('residuals-graph-'+self.name, 'figure'),
             [Input('residuals-pred-or-actual-'+self.name, 'value'),
@@ -706,7 +729,7 @@ def __init__(self, explainer, title="Plot vs feature", name=None,
                     hide_title=False, hide_subtitle=False, hide_footer=False,
                     hide_col=False, hide_ratio=False, 
                     hide_points=False, hide_winsor=False, 
-                    hide_cats_topx=False, hide_cats_sort=False,
+                    hide_cats_topx=False, hide_cats_sort=False, hide_popout=False, 
                     col=None, display='difference', round=3,
                     points=True, winsor=0, cats_topx=10, cats_sort='freq', 
                     description=None, **kwargs):
@@ -730,6 +753,7 @@ def __init__(self, explainer, title="Plot vs feature", name=None,
             hide_winsor (bool, optional): Hide winsor input. Defaults to False.
             hide_cats_topx (bool, optional): hide the categories topx input. Defaults to False.
             hide_cats_sort (bool, optional): hide the categories sort selector.Defaults to False.
+            hide_popout (bool, optional): hide popout button. Defaults to False.
             col ([type], optional): Initial feature to display. Defaults to None.
             display (str, {'observed', 'predicted', difference', 'ratio', 'log-ratio'} optional): 
                     What to display on y axis. Defaults to 'difference'.
@@ -762,6 +786,8 @@ def __init__(self, explainer, title="Plot vs feature", name=None,
         This allows you to inspect whether the model is more wrong for particular
         range of feature values than others. 
         """
+        self.popout = GraphPopout('reg-vs-col-'+self.name+'popout', 
+                    'reg-vs-col-graph-'+self.name, self.title, self.description)
         self.register_dependencies(['preds', 'residuals'])
 
     def layout(self):
@@ -810,6 +836,12 @@ def layout(self):
                                 config=dict(modeBarButtons=[['toImage']], displaylogo=False)),
                     ]) 
                 ]),
+                dbc.Row([
+                    make_hideable(
+                        dbc.Col([
+                            self.popout.layout()
+                        ], md=2, align="start"), hide=self.hide_popout),
+                ], justify="end"),
             ]),
             make_hideable(
             dbc.CardFooter([
@@ -872,7 +904,7 @@ def layout(self):
             ]), hide=self.hide_footer)
         ])
 
-    def register_callbacks(self, app):
+    def component_callbacks(self, app):
         @app.callback(
             [Output('reg-vs-col-graph-'+self.name, 'figure'),
              Output('reg-vs-col-show-points-div-'+self.name, 'style'),
diff --git a/explainerdashboard/dashboard_components/shap_components.py b/explainerdashboard/dashboard_components/shap_components.py
index 8f68ba8..520c8fd 100644
--- a/explainerdashboard/dashboard_components/shap_components.py
+++ b/explainerdashboard/dashboard_components/shap_components.py
@@ -23,7 +23,7 @@ def __init__(self, explainer, title='Shap Summary', name=None,
                     subtitle="Ordering features by shap value",
                     hide_title=False, hide_subtitle=False, hide_depth=False, 
                     hide_type=False, hide_index=False, hide_selector=False,
-                    pos_label=None, depth=None, 
+                    hide_popout=False, pos_label=None, depth=None, 
                     summary_type="aggregate", max_cat_colors=5, index=None,
                     description=None, **kwargs):
         """Shows shap summary component
@@ -43,6 +43,7 @@ def __init__(self, explainer, title='Shap Summary', name=None,
                         Defaults to False.
             hide_type (bool, optional): hide the summary type toggle 
                         (aggregated, detailed). Defaults to False.
+            hide_popout (bool, optional): hide popout button
             hide_selector (bool, optional): hide pos label selector. Defaults to False.
             pos_label ({int, str}, optional): initial pos label. 
                         Defaults to explainer.pos_label
@@ -61,12 +62,16 @@ def __init__(self, explainer, title='Shap Summary', name=None,
 
         self.index_name = 'shap-summary-index-'+self.name
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
+        
         if self.description is None: self.description = """
         The shap summary summarizes the shap values per feature.
         You can either select an aggregates display that shows mean absolute shap value
         per feature. Or get a more detailed look at the spread of shap values per
         feature and how they correlate the the feature value (red is high).
         """
+
+        self.popout = GraphPopout('shap-summary-'+self.name+'popout', 
+                            'shap-summary-graph-'+self.name, self.title, self.description)
         self.register_dependencies('shap_values_df')
              
     def layout(self):
@@ -125,11 +130,18 @@ def layout(self):
                         ], md=3), hide=self.hide_index),  
                     make_hideable(
                             dbc.Col([self.selector.layout()
-                        ], width=2), hide=self.hide_selector)
+                        ], width=2), hide=self.hide_selector),
+                    
                     ], form=True),
                 dcc.Loading(id="loading-dependence-shap-summary-"+self.name, 
                         children=[dcc.Graph(id="shap-summary-graph-"+self.name,
                                             config=dict(modeBarButtons=[['toImage']], displaylogo=False))]),
+                dbc.Row([
+                    make_hideable(
+                        dbc.Col([
+                            self.popout.layout()
+                        ], md=2, align="start"), hide=self.hide_popout),
+                ], justify="end"),
             ]),
         ])
     
@@ -178,7 +190,7 @@ def __init__(self, explainer, title='Shap Dependence', name=None,
                     hide_title=False, hide_subtitle=False, hide_col=False, 
                     hide_color_col=False, hide_index=False,
                     hide_selector=False, hide_cats_topx=False, hide_cats_sort=False,
-                    hide_footer=False,
+                    hide_popout=False, hide_footer=False,
                     pos_label=None, 
                     col=None, color_col=None, index=None, 
                     cats_topx=10, cats_sort='freq', max_cat_colors=5,
@@ -202,6 +214,7 @@ def __init__(self, explainer, title='Shap Dependence', name=None,
             hide_selector (bool, optional): hide pos label selector. Defaults to False.
             hide_cats_topx (bool, optional): hide the categories topx input. Defaults to False.
             hide_cats_sort (bool, optional): hide the categories sort selector.Defaults to False.
+            hide_popout (bool, optional): hide popout button. Defaults to False.
             hide_footer (bool, optional): hide the footer.
             pos_label ({int, str}, optional): initial pos label. 
                         Defaults to explainer.pos_label
@@ -226,17 +239,19 @@ def __init__(self, explainer, title='Shap Dependence', name=None,
             self.color_col = self.explainer.top_shap_interactions(self.col)[1]
 
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
+        
         self.index_name = 'shap-dependence-index-'+self.name
 
         if self.description is None: self.description = """
         This plot shows the relation between feature values and shap values.
         This allows you to investigate the general relationship between feature
-        value and impact on the prediction, i.e. "older passengers were predicted
-        to be less likely to survive the titanic". You can check whether the mode
+        value and impact on the prediction. You can check whether the model
         uses features in line with your intuitions, or use the plots to learn
         about the relationships that the model has learned between the input features
         and the predicted outcome.
         """
+        self.popout = GraphPopout('shap-dependence-'+self.name+'popout', 
+                            'shap-dependence-graph-'+self.name, self.title, self.description)
         self.register_dependencies('shap_values_df')
              
     def layout(self):
@@ -253,7 +268,7 @@ def layout(self):
                 dbc.Row([
                     make_hideable(
                             dbc.Col([self.selector.layout()
-                        ], width=2), hide=self.hide_selector),    
+                        ], width=2), hide=self.hide_selector),  
                 ]),
                 dbc.Row([
                     make_hideable(
@@ -287,12 +302,18 @@ def layout(self):
                                 options = [{'label': str(idx), 'value':idx} 
                                                 for idx in self.explainer.idxs],
                                 value=self.index)
-                        ], md=4), hide=self.hide_index),         
+                        ], md=4), hide=self.hide_index),          
                 ], form=True),
                 dcc.Loading(id="loading-dependence-graph-"+self.name, 
                             children=[
                                 dcc.Graph(id='shap-dependence-graph-'+self.name,
                                     config=dict(modeBarButtons=[['toImage']], displaylogo=False))]),
+                dbc.Row([
+                    make_hideable(
+                        dbc.Col([
+                            self.popout.layout()
+                        ], md=2, align="start"), hide=self.hide_popout),
+                ], justify="end"),
             ]), 
             make_hideable(
                 dbc.CardFooter([
@@ -400,7 +421,7 @@ class InteractionSummaryComponent(ExplainerComponent):
     def __init__(self, explainer, title="Interactions Summary", name=None,
                     subtitle="Ordering features by shap interaction value",
                     hide_title=False, hide_subtitle=False, hide_col=False, hide_depth=False, 
-                    hide_type=False, hide_index=False, hide_selector=False,
+                    hide_type=False, hide_index=False, hide_popout=False, hide_selector=False,
                     pos_label=None, col=None, depth=None, 
                     summary_type="aggregate", max_cat_colors=5,
                     index=None, description=None,
@@ -422,6 +443,7 @@ def __init__(self, explainer, title="Interactions Summary", name=None,
             hide_depth (bool, optional): Hide depth toggle. Defaults to False.
             hide_type (bool, optional): Hide summary type toggle. Defaults to False.
             hide_index (bool, optional): Hide the index selector. Defaults to False
+            hide_popout (bool, optional): hide popout button
             hide_selector (bool, optional): hide pos label selector. Defaults to False.
             pos_label ({int, str}, optional): initial pos label. 
                         Defaults to explainer.pos_label
@@ -445,6 +467,7 @@ def __init__(self, explainer, title="Interactions Summary", name=None,
             self.depth = min(self.depth, self.explainer.n_features-1)
         self.index_name = 'interaction-summary-index-'+self.name
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
+        
         if self.description is None: self.description = """
         Shows shap interaction values. Each shap value can be decomposed into a direct
         effect and indirect effects. The indirect effects are due to interactions
@@ -454,6 +477,8 @@ def __init__(self, explainer, title="Interactions Summary", name=None,
         for example passenger class (first class women more likely to survive than
         average woman, third class women less likely).
         """
+        self.popout = GraphPopout('interaction-summary-'+self.name+'popout', 
+                            'interaction-summary-graph-'+self.name, self.title, self.description)
         self.register_dependencies("shap_interaction_values")
 
     def layout(self):
@@ -531,7 +556,13 @@ def layout(self):
                             children=[dcc.Graph(id='interaction-summary-graph-'+self.name, 
                                                 config=dict(modeBarButtons=[['toImage']], displaylogo=False))])
                     ])
-                ]), 
+                ]),
+                dbc.Row([
+                    make_hideable(
+                        dbc.Col([
+                            self.popout.layout()
+                        ], md=2, align="start"), hide=self.hide_popout),
+                ], justify="end"), 
             ]),
         ])
 
@@ -574,8 +605,8 @@ def __init__(self, explainer, title="Interaction Dependence", name=None,
                     subtitle="Relation between feature value and shap interaction value",
                     hide_title=False, hide_subtitle=False, hide_col=False, 
                     hide_interact_col=False, hide_index=False,
-                    hide_selector=False, hide_cats_topx=False, hide_cats_sort=False,
-                    hide_top=False, hide_bottom=False,
+                    hide_popout=False, hide_selector=False, hide_cats_topx=False, 
+                    hide_cats_sort=False, hide_top=False, hide_bottom=False,
                     pos_label=None, col=None, interact_col=None,
                     cats_topx=10, cats_sort='freq', max_cat_colors=5,
                     description=None, index=None, **kwargs):
@@ -603,6 +634,7 @@ def __init__(self, explainer, title="Interaction Dependence", name=None,
                         Defaults to False.
             hide_selector (bool, optional): hide pos label selector. 
                         Defaults to False.
+            hide_popout (bool, optional): hide popout button
             hide_cats_topx (bool, optional): hide the categories topx input. 
                         Defaults to False.
             hide_cats_sort (bool, optional): hide the categories sort selector.
@@ -634,11 +666,16 @@ def __init__(self, explainer, title="Interaction Dependence", name=None,
         
 
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
+        self.popout_top = GraphPopout(self.name+'popout-top', 
+                'interaction-dependence-top-graph-'+self.name, self.title)
+        
         if self.description is None: self.description = """
         This plot shows the relation between feature values and shap interaction values.
         This allows you to investigate interactions between features in determining
         the prediction of the model.
         """
+        self.popout_bottom = GraphPopout(self.name+'popout-bottom', 
+                'interaction-dependence-bottom-graph-'+self.name, self.title, self.description)
         self.register_dependencies("shap_interaction_values")
 
     def layout(self):
@@ -703,6 +740,12 @@ def layout(self):
                                 hide=self.hide_top),
                     ]),
                 ]),
+                dbc.Row([
+                    make_hideable(
+                        dbc.Col([
+                            self.popout_top.layout()
+                        ], md=2, align="start"), hide=self.hide_popout),
+                ], justify="end"),
                 html.Div([
                     dbc.Row([
                         make_hideable(
@@ -739,7 +782,12 @@ def layout(self):
                                 hide=self.hide_bottom),
                     ]),
                 ]),
-
+                dbc.Row([
+                    make_hideable(
+                        dbc.Col([
+                            self.popout_bottom.layout()
+                        ], md=2, align="start"), hide=self.hide_popout),
+                ], justify="end"),
                 html.Div([
                     dbc.Row([
                         make_hideable(
@@ -864,7 +912,7 @@ def __init__(self, explainer, title="Contributions Plot", name=None,
                     subtitle="How has each feature contributed to the prediction?",
                     hide_title=False, hide_subtitle=False, hide_index=False, hide_depth=False, 
                     hide_sort=False, hide_orientation=True, 
-                    hide_selector=False, feature_input_component=None,
+                    hide_selector=False, hide_popout=False, feature_input_component=None, 
                     pos_label=None, index=None, depth=None, sort='high-to-low', 
                     orientation='vertical', higher_is_better=True,
                     description=None, **kwargs):
@@ -887,6 +935,7 @@ def __init__(self, explainer, title="Contributions Plot", name=None,
             hide_orientation (bool, optional): Hide the orientation dropdown. 
                     Defaults to True.
             hide_selector (bool, optional): hide pos label selector. Defaults to False.
+            hide_popout (bool, optional): hide popout button
             feature_input_component (FeatureInputComponent): A FeatureInputComponent
                 that will give the input to the graph instead of the index selector.
                 If not None, hide_index=True. Defaults to None.
@@ -923,6 +972,8 @@ def __init__(self, explainer, title="Contributions Plot", name=None,
         """
 
         self.selector = PosLabelSelector(explainer, name=self.name, pos_label=pos_label)
+        self.popout = GraphPopout('contributions-graph-'+self.name+'popout', 
+                            'contributions-graph-'+self.name, self.title, self.description)
         self.register_dependencies('shap_values_df')
 
     def layout(self):
@@ -995,6 +1046,12 @@ def layout(self):
                                     config=dict(modeBarButtons=[['toImage']], displaylogo=False))]),
                     ]),
                 ]),
+                dbc.Row([
+                    make_hideable(
+                        dbc.Col([
+                            self.popout.layout()
+                        ], md=2, align="start"), hide=self.hide_popout),
+                ], justify="end"),
             ]),
         ])
         
diff --git a/explainerdashboard/dashboard_methods.py b/explainerdashboard/dashboard_methods.py
index 79f652b..5c14403 100644
--- a/explainerdashboard/dashboard_methods.py
+++ b/explainerdashboard/dashboard_methods.py
@@ -4,6 +4,7 @@
     'DummyComponent',
     'ExplainerComponent',
     'PosLabelSelector',
+    'GraphPopout',
     'make_hideable',
     'get_dbc_tooltips',
     'update_params',
@@ -20,6 +21,7 @@
 import dash_core_components as dcc
 import dash_bootstrap_components as dbc
 import dash_html_components as html
+from dash.dependencies import Input, Output, State
 
 import shortuuid
 
@@ -400,6 +402,94 @@ def layout(self):
             return html.Div([dcc.Input(id="pos-label-"+self.name)], style=dict(display="none"))
 
 
+class GraphPopout(ExplainerComponent):
+    """Provides a way to open a modal popup with the content of a graph figure.
+
+    """
+    def __init__(self, name:str, graph_id:str, title:str="Popout", description:str=None,
+                    button_text:str="Popout", button_size:str="sm", button_outline:bool=True):
+        """
+        Args:
+            name (str): name id for this GraphPopout. Should be unique.
+            graph_id (str): id of of the dcc.Graph component that gets included
+                in the modal.
+            title (str): Title above the modal. Defaults to Popout.
+            description (str): description of the graph to be include in the footer.
+            button_text (str, optional): Text on the Button. Defaults to "Popout".
+            button_size (str, optiona). Size of the button.Defaults to "sm" or small.
+            button_outline (bool, optional). Show outline of button instead with fill color.
+                Defaults to True. 
+        """
+
+        self.title = title
+        self.name = name
+        self.graph_id = graph_id
+        self.description = description
+        self.button_text, self.button_size, self.button_outline = button_text, button_size, button_outline
+
+    def layout(self):
+        return html.Div(
+            [
+                dbc.Button(self.button_text, id=self.name+'modal-open', size=self.button_size, outline=self.button_outline),
+                dbc.Modal([
+                    dbc.ModalHeader(self.title),
+                    dcc.Graph(id=self.name+'-modal-graph'),
+                    dbc.ModalFooter([   
+                        html.Div([
+                            html.Div([
+                                html.Div([
+                                    dbc.Button(html.Small("Description"), 
+                                           id=self.name+'-show-description',
+                                           color='link', className="text-muted ml-auto"),
+                                    dbc.Fade([
+                                            html.Small(self.description, className="text-muted")],
+                                            id=self.name+'-fade',
+                                            is_in=True,
+                                            appear=True), 
+                                ], style=dict(display="none" if not self.description else None))
+                            ], className="text-left"),  
+                            html.Div([
+                                dbc.Button("Close", id=self.name+'-modal-close', className="mr-auto")            
+                            ], className="text-right", style=dict(float='right')),   
+                            
+                        ], style={"display":"flex"}),             
+                    ], className="justify-content-between")       
+                ], id=self.name+'-modal', size="xl")
+            ], style={"display":"flex", "justify-content":"flex-end"})
+    
+    def component_callbacks(self, app):
+        @app.callback(
+            [Output(self.name+'-modal', "is_open"),
+             Output(self.name+'-modal-graph', "figure")],
+            [Input(self.name+'modal-open', "n_clicks"), 
+             Input(self.name+'-modal-close', "n_clicks")],
+            [State(self.name+'-modal', "is_open"),
+             State(self.graph_id, 'figure')],
+        )
+        def toggle_modal(open_modal, close_modal, modal_is_open, fig):
+            print("modal triggered: ", open_modal, close_modal, modal_is_open, flush=True)
+            if open_modal or close_modal: 
+                ctx = dash.callback_context
+                button_id = ctx.triggered[0]['prop_id'].split('.')[0]
+                if button_id == self.name+'modal-open':
+                    return (not modal_is_open, fig)
+                else:
+                    return (not modal_is_open, dash.no_update)
+            return (modal_is_open, dash.no_update)
+        
+        if self.description is not None:
+            @app.callback(
+                Output(self.name+'-fade', "is_in"),
+                [Input(self.name+'-show-description', "n_clicks")],
+                [State(self.name+'-fade', "is_in")],
+            )
+            def toggle_fade(n_clicks, is_in):
+                if not n_clicks:
+                    # Button has never been clicked
+                    return False
+                return not is_in
+
+
 def instantiate_component(component, explainer, name=None, **kwargs):
     """Returns an instantiated ExplainerComponent.
     If the component input is just a class definition, instantiate it with
diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index ca1d357..c4a0478 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -31,7 +31,6 @@
 
 from .explainer_methods import *
 from .explainer_plots import *
-from .make_callables import make_callable, default_list, default_2darray
 
 import plotly.io as pio
 pio.templates.default = "none"
@@ -1590,11 +1589,11 @@ def decision_trees(*args, **kwargs):
 
     def decisiontree_df(*args, **kwargs):
         raise NotImplementedError("decisiontree_df() has been deprecated in v0.3! "
-                "Use decisionpath_df() instead!")
+                "Use get_decisionpath_df() instead!")
 
     def decisiontree_summary_df(*args, **kwargs):
         raise NotImplementedError("decisiontree_summary_df() has been deprecated in v0.3! "
-                "Use decisionpath_summary_df() instead!")
+                "Use get_decisionpath_summary_df() instead!")
 
     def decision_path_file(*args, **kwargs):
         raise NotImplementedError("decision_path_file() has been deprecated in v0.3! "
@@ -2746,7 +2745,7 @@ def shadow_trees(self):
         raise NotImplementedError
 
     @insert_pos_label
-    def decisionpath_df(self, tree_idx, index, pos_label=None):
+    def get_decisionpath_df(self, tree_idx, index, pos_label=None):
         """dataframe with all decision nodes of a particular decision tree
         for a particular observation.
 
@@ -2769,7 +2768,7 @@ def decisionpath_df(self, tree_idx, index, pos_label=None):
             return get_decisionpath_df(self.shadow_trees[tree_idx], X_row.squeeze())
 
     @insert_pos_label
-    def decisionpath_summary_df(self, tree_idx, index, round=2, pos_label=None):
+    def get_decisionpath_summary_df(self, tree_idx, index, round=2, pos_label=None):
         """formats decisiontree_df in a slightly more human readable format.
 
         Args:
@@ -2783,7 +2782,7 @@ def decisionpath_summary_df(self, tree_idx, index, round=2, pos_label=None):
 
         """
         return get_decisiontree_summary_df(
-                self.decisionpath_df(tree_idx, index, pos_label=pos_label),
+                self.get_decisionpath_df(tree_idx, index, pos_label=pos_label),
                     classifier=self.is_classifier, round=round, units=self.units)
 
     def decisiontree_file(self, tree_idx, index, show_just_path=False):
@@ -2987,7 +2986,7 @@ def shadow_trees(self):
         return self._shadow_trees
 
     @insert_pos_label
-    def decisionpath_df(self, tree_idx, index, pos_label=None):
+    def get_decisionpath_df(self, tree_idx, index, pos_label=None):
         """dataframe with all decision nodes of a particular decision tree
 
         Args:
@@ -3010,7 +3009,7 @@ def decisionpath_df(self, tree_idx, index, pos_label=None):
                 tree_idx = tree_idx * len(self.labels) + pos_label
         return get_xgboost_path_df(self.model_dump_list[tree_idx], self.get_X_row(index))
 
-    def decisionpath_summary_df(self, tree_idx, index, round=2, pos_label=None):
+    def get_decisionpath_summary_df(self, tree_idx, index, round=2, pos_label=None):
         """formats decisiontree_df in a slightly more human readable format.
         Args:
           tree_idx: the n'th tree in the random forest
@@ -3020,7 +3019,7 @@ def decisionpath_summary_df(self, tree_idx, index, round=2, pos_label=None):
         Returns:
           dataframe with summary of the decision tree path
         """
-        return get_xgboost_path_summary_df(self.decisionpath_df(tree_idx, index, pos_label=pos_label))
+        return get_xgboost_path_summary_df(self.get_decisionpath_df(tree_idx, index, pos_label=pos_label))
 
     @insert_pos_label
     def decisiontree_file(self, tree_idx, index, show_just_path=False, pos_label=None):
diff --git a/explainerdashboard/make_callables.py b/explainerdashboard/make_callables.py
deleted file mode 100644
index 4f21e65..0000000
--- a/explainerdashboard/make_callables.py
+++ /dev/null
@@ -1,208 +0,0 @@
-"""
-For the @properties in our ClassifierBunch class we would like users to be able to call them as a property
-and get the property for the pos_label set for the entire class (e.g. if 1 is the positive class, then
-explainer.shap_values will return the shap_values for class 1). However it should also be possible
-to specify a specific pos_label by making the @property callable: explainer.shap_values(0) will return the shap 
-values for class 0.
-
-For this we introduce two new classes: 
-1. DefaultCOlumns2dNpArray, which when called as a property returns a specific default column of a 
-2d np.ndarray, but when called as a callable can return any column.
-3. DefaultList, which when called as a property returns a specific default item of a list, 
-but when called as a callable can return any item.
-
-To maintain compatibility in interfaces between ClassifierBunch and RegressionBunch, we make all the properties
-callable using make_callable, which adds a dummy __call__ method to the underlying object. 
-
-"""
-from typing import List
-
-import numpy as np
-import pandas as pd
-
-
-class CallablePdSeries(pd.Series):
-    """a pd.Series object with a dummy .__call__() method"""
-    def __call__(self, *args, **kwargs):
-        return pd.Series(self)
-    
-class CallablePdDataFrame(pd.DataFrame):
-    """a pd.DataFrame object with a dummy .__call__() method"""
-    def __call__(self, *args, **kwargs):
-        return pd.DataFrame(self)
-    
-class CallableNpArray(np.ndarray):
-    """a np.ndarray object with a dummy .__call__() method"""
-    def __new__(cls, arr):
-        obj = np.asarray(arr).view(cls)
-        return obj
-
-    def __array_finalize__(self, obj):
-        if obj is None: return
-        
-    def __array_wrap__(self, out_arr, context=None):
-        return np.ndarray.__array_wrap__(self, out_arr, context).view(np.ndarray)
-
-    def __call__(self, *args, **kwargs):
-        return self.view(np.ndarray)
-    
-class CallableList(list):
-    """a list object with a dummy .__call__() method"""
-    def __call__(self, col=None):
-        return list(self)
-
-
-def make_callable(obj):
-    """
-    returns the obj with a dummy __call__ method attached.
-    This means that calling `obj` and 'obj(()' and  'obj(arg1, arg2='foo') result in the same thing.
-    
-    Used to make @property that in subclass may be callable.
-    """
-    if isinstance(obj, np.ndarray):
-        return CallableNpArray(obj)
-    if isinstance(obj, pd.Series):
-        return CallablePdSeries(obj)
-    if isinstance(obj, pd.DataFrame):
-        return CallablePdDataFrame(obj)
-    if isinstance(obj, list):
-        return CallableList(obj)
-    
-    class DummyCallable(type(obj)):
-        def __call__(self, *args, **kwargs):
-            return type(obj)(self)
-    
-    return DummyCallable(obj)
-
-class DefaultDfList(pd.DataFrame):
-    """"
-    You have the set source_list manually!
-
-    e.g. 
-
-    dfl = DefaultDfList(df1)
-    dfl.source_list = [df1, df2]
-    """
-    _internal_names = list(pd.DataFrame._internal_names) + ['source_list']
-    _internal_names_set = set(_internal_names)
-
-    def __call__(self, index=None):
-        if index is not None:
-            return self.source_list[index]
-        else:
-            return pd.DataFrame(self)
-
-    @property
-    def _constructor(self):
-        return DefaultDfList
-
-
-class DefaultSeriesList(pd.Series):
-    _internal_names = list(pd.Series._internal_names) + ['source_list']
-    _internal_names_set = set(_internal_names)
-
-    def __call__(self, index=None):
-        if index is not None:
-            return self.source_list[index]
-        else:
-            return pd.Series(self)
-
-    @property
-    def _constructor(self):
-        return DefaultSeriesList
-
-
-class DefaultNpArrayList(np.ndarray):
-    def __new__(cls, default_array, source_list):
-        obj = np.asarray(default_array).view(cls)
-        obj.source_list = source_list
-        return obj
-
-    def __array_finalize__(self, obj):
-        if obj is None: return
-        self.source_list = getattr(obj, 'source_list', None)
-        
-    def __array_wrap__(self, out_arr, context=None):
-        return np.ndarray.__array_wrap__(self, out_arr, context).view(np.ndarray)
-
-    def __call__(self, index=None):
-        if index is not None:
-                return self.source_list[index]
-        return self.view(np.ndarray)
-
-
-def default_list(source_list:List, default_index:int):
-    """
-    Normally gives the default_index item in a list.
-    If used as a callable, you can specify a specific index.
-    
-    Use to make @property that you can pass optional index parameter to
-    """
-
-    if isinstance(source_list[default_index], pd.DataFrame):
-        df_list = DefaultDfList(source_list[default_index])
-        df_list.source_list = source_list
-        return df_list
-
-    if isinstance(source_list[default_index], pd.Series):
-        s_list = DefaultSeriesList(source_list[default_index])
-        s_list.source_list = source_list
-        return s_list
-
-    if isinstance(source_list[default_index], np.ndarray):
-        a_list = DefaultNpArrayList(source_list[default_index], source_list)
-        return a_list
-
-    class DefaultList(type(source_list[default_index])):
-        def __new__(cls, default_value, source_list):
-            obj = type(source_list[default_index]).__new__(cls, default_value)
-            return obj
-
-        def __init__(self, default_value, source_list):
-            super().__init__()
-            self.source_list = source_list
-            self.default_type = type(default_value)
-
-        def __call__(self, index=None):
-            if index is not None:
-                return self.source_list[index]
-            else:
-                
-                return self.default_type(self)
-    
-    return DefaultList(source_list[default_index], source_list)
-
-
-class DefaultColumn2dNpArray(np.ndarray):
-    """
-    a 2d numpy array that by default returns only a single default column array.
-    If used as a callable, you can specify a specific column to return. 
-    
-    Used to make @property that you can pass a column parameter to
-    """
-    def __new__(cls, full_array, default_col):
-        obj = np.asarray(full_array[:, default_col]).view(cls)
-        obj.full_array = full_array
-        return obj
-
-    def __array_finalize__(self, obj):
-        if obj is None: return
-        self.full_array = getattr(obj, 'full_array', None)
-        
-    def __array_wrap__(self, out_arr, context=None):
-        return np.ndarray.__array_wrap__(self, out_arr, context).view(np.ndarray)
-
-    def __call__(self, col=None):
-        if col is not None:
-            return self.full_array[:, col]
-        return self.view(np.ndarray)
-
-
-def default_2darray(array_2d:np.ndarray, default_column:int):
-    """
-    when used as property returns default_column col of array_2d
-    when used as callable __call__(col) returns column col of array_2d
-    
-    Used to make a @property that you can pass an optional column parameter to
-    """
-    return DefaultColumn2dNpArray(array_2d, default_column)
\ No newline at end of file
diff --git a/custom_examples.ipynb b/notebooks/custom_examples.ipynb
similarity index 100%
rename from custom_examples.ipynb
rename to notebooks/custom_examples.ipynb
diff --git a/dashboard_examples.ipynb b/notebooks/dashboard_examples.ipynb
similarity index 100%
rename from dashboard_examples.ipynb
rename to notebooks/dashboard_examples.ipynb
diff --git a/explainer_examples.ipynb b/notebooks/explainer_examples.ipynb
similarity index 99%
rename from explainer_examples.ipynb
rename to notebooks/explainer_examples.ipynb
index 61e394a..f5119e8 100644
--- a/explainer_examples.ipynb
+++ b/notebooks/explainer_examples.ipynb
@@ -85882,7 +85882,7 @@
     }
    ],
    "source": [
-    "explainer.decisionpath_df(tree_idx=20, index=name)"
+    "explainer.get_decisionpath_df(tree_idx=20, index=name)"
    ]
   },
   {
@@ -86002,7 +86002,7 @@
     }
    ],
    "source": [
-    "explainer.decisionpath_summary_df(tree_idx=5, index=name)"
+    "explainer.get_decisionpath_summary_df(tree_idx=5, index=name)"
    ]
   },
   {
diff --git a/setup.py b/setup.py
index 1430241..c774e73 100644
--- a/setup.py
+++ b/setup.py
@@ -2,7 +2,7 @@
 
 setup(
     name='explainerdashboard',
-    version='0.3.0',
+    version='0.3.0rc1',
     description='Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.',
     long_description="""
 
@@ -68,7 +68,7 @@
         "Intended Audience :: Developers",
         "Intended Audience :: Education",
         "Topic :: Scientific/Engineering :: Artificial Intelligence"],
-    install_requires=['dash', 'dash-bootstrap-components', 'jupyter_dash', 'dash-auth',
+    install_requires=['dash>=1.19', 'dash-bootstrap-components', 'jupyter_dash', 'dash-auth',
                     'dtreeviz>=1.0', 'numpy', 'pandas>=0.24', 'scikit-learn', 
                     'shap>=0.37', 'shortuuid', 'joblib', 'oyaml', 'click', 'waitress',
                     'flask_simplelogin'],
diff --git a/tests/test_classifier_base.py b/tests/test_classifier_base.py
index f68b75e..9c4e2db 100644
--- a/tests/test_classifier_base.py
+++ b/tests/test_classifier_base.py
@@ -146,6 +146,15 @@ def test_pdp_df(self):
         self.assertIsInstance(self.explainer.pdp_df("Gender", index=0), pd.DataFrame)
         self.assertIsInstance(self.explainer.pdp_df("Age", X_row=self.explainer.X.iloc[[0]]), pd.DataFrame)
 
+    def test_memory_usage(self):
+        self.assertIsInstance(self.explainer.memory_usage(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.memory_usage(cutoff=1000), pd.DataFrame)
+
+    def test_keep_shap_pos_label_only(self):
+        self.explainer.keep_shap_pos_label_only()
+        self.assertIsInstance(self.shap_values_df(), pd.DataFrame)
+
+
     def test_plot_importances(self):
         fig = self.explainer.plot_importances()
         self.assertIsInstance(fig, go.Figure)
diff --git a/tests/test_multiclass.py b/tests/test_multiclass.py
index 6d08b31..d73aba0 100644
--- a/tests/test_multiclass.py
+++ b/tests/test_multiclass.py
@@ -206,6 +206,10 @@ def test_precision_df(self):
     def test_lift_curve_df(self):
         self.assertIsInstance(self.explainer.get_liftcurve_df(), pd.DataFrame)
 
+    def test_keep_shap_pos_label_only(self):
+        self.explainer.keep_shap_pos_label_only()
+        self.assertIsInstance(self.shap_values_df(), pd.DataFrame)
+        
     def test_calculate_properties(self):
         self.explainer.calculate_properties()
         
diff --git a/tests/test_randomforest_explainer.py b/tests/test_randomforest_explainer.py
index 14c125b..5acba91 100644
--- a/tests/test_randomforest_explainer.py
+++ b/tests/test_randomforest_explainer.py
@@ -36,10 +36,10 @@ def test_shadow_trees(self):
         self.assertIsInstance(dt[0], dtreeviz.models.shadow_decision_tree.ShadowDecTree)
 
     def test_decisionpath_df(self):
-        df = self.explainer.decisionpath_df(tree_idx=0, index=0)
+        df = self.explainer.get_decisionpath_df(tree_idx=0, index=0)
         self.assertIsInstance(df, pd.DataFrame)
 
-        df = self.explainer.decisionpath_df(tree_idx=0, index=self.names[0])
+        df = self.explainer.get_decisionpath_df(tree_idx=0, index=self.names[0])
         self.assertIsInstance(df, pd.DataFrame)
 
     def test_plot_trees(self):
@@ -82,10 +82,10 @@ def test_shadow_trees(self):
         self.assertIsInstance(dt[0], dtreeviz.models.shadow_decision_tree.ShadowDecTree)
 
     def test_decisionpath_df(self):
-        df = self.explainer.decisionpath_df(tree_idx=0, index=0)
+        df = self.explainer.get_decisionpath_df(tree_idx=0, index=0)
         self.assertIsInstance(df, pd.DataFrame)
 
-        df = self.explainer.decisionpath_df(tree_idx=0, index=self.names[0])
+        df = self.explainer.get_decisionpath_df(tree_idx=0, index=self.names[0])
         self.assertIsInstance(df, pd.DataFrame)
 
     def test_plot_trees(self):
diff --git a/tests/test_regression_base.py b/tests/test_regression_base.py
index db6f70b..01ca2ae 100644
--- a/tests/test_regression_base.py
+++ b/tests/test_regression_base.py
@@ -128,6 +128,10 @@ def test_shap_interaction_values(self):
     def test_mean_abs_shap(self):
         self.assertIsInstance(self.explainer.mean_abs_shap_df(), pd.DataFrame)
 
+    def test_memory_usage(self):
+        self.assertIsInstance(self.explainer.memory_usage(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.memory_usage(cutoff=1000), pd.DataFrame)
+
     def test_calculate_properties(self):
         self.explainer.calculate_properties()
 
diff --git a/tests/test_xgboost_explainer.py b/tests/test_xgboost_explainer.py
index 7c72eef..f5fb911 100644
--- a/tests/test_xgboost_explainer.py
+++ b/tests/test_xgboost_explainer.py
@@ -37,10 +37,10 @@ def test_shadow_trees(self):
         self.assertIsInstance(dt[0], dtreeviz.models.shadow_decision_tree.ShadowDecTree)
 
     def test_decisionpath_df(self):
-        df = self.explainer.decisionpath_df(tree_idx=0, index=0)
+        df = self.explainer.get_decisionpath_df(tree_idx=0, index=0)
         self.assertIsInstance(df, pd.DataFrame)
 
-        df = self.explainer.decisionpath_df(tree_idx=0, index=self.names[0])
+        df = self.explainer.get_decisionpath_df(tree_idx=0, index=self.names[0])
         self.assertIsInstance(df, pd.DataFrame)
 
     def test_plot_trees(self):
@@ -81,13 +81,13 @@ def test_shadow_trees(self):
         self.assertIsInstance(dt[0], dtreeviz.models.shadow_decision_tree.ShadowDecTree)
 
     def test_decisionpath_df(self):
-        df = self.explainer.decisionpath_df(tree_idx=0, index=0)
+        df = self.explainer.get_decisionpath_df(tree_idx=0, index=0)
         self.assertIsInstance(df, pd.DataFrame)
 
-        df = self.explainer.decisionpath_df(tree_idx=0, index=self.names[0])
+        df = self.explainer.get_decisionpath_df(tree_idx=0, index=self.names[0])
         self.assertIsInstance(df, pd.DataFrame)
 
-        df = self.explainer.decisionpath_df(tree_idx=0, index=self.names[0], pos_label=0)
+        df = self.explainer.get_decisionpath_df(tree_idx=0, index=self.names[0], pos_label=0)
         self.assertIsInstance(df, pd.DataFrame)
 
 
@@ -134,10 +134,10 @@ def test_shadow_trees(self):
         self.assertIsInstance(dt[0], dtreeviz.models.shadow_decision_tree.ShadowDecTree)
 
     def test_decisionpath_df(self):
-        df = self.explainer.decisionpath_df(tree_idx=0, index=0)
+        df = self.explainer.get_decisionpath_df(tree_idx=0, index=0)
         self.assertIsInstance(df, pd.DataFrame)
 
-        df = self.explainer.decisionpath_df(tree_idx=0, index=self.names[0])
+        df = self.explainer.get_decisionpath_df(tree_idx=0, index=self.names[0])
         self.assertIsInstance(df, pd.DataFrame)
 
     def test_plot_trees(self):

From 2ebd3246952e3df8b48301087cc7c5a174201be7 Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Wed, 27 Jan 2021 10:10:36 +0100
Subject: [PATCH 23/28] fixes keep shap tests

---
 explainerdashboard/explainers.py | 4 +++-
 setup.py                         | 2 +-
 tests/test_classifier_base.py    | 2 +-
 tests/test_multiclass.py         | 4 ++--
 4 files changed, 7 insertions(+), 5 deletions(-)

diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index c4a0478..fed1d18 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -42,9 +42,11 @@ def inner(self, *args, **kwargs):
             return func(self, *args, **kwargs)
         if 'pos_label' in kwargs:
             if kwargs['pos_label'] is not None:
+                # ensure that pos_label is int
                 kwargs.update(dict(pos_label=self.pos_label_index(kwargs['pos_label'])))
                 return func(self, *args, **kwargs)
-            else:   
+            else:  
+                # insert self.pos_label 
                 kwargs.update(dict(pos_label=self.pos_label))
                 return func(self, *args, **kwargs)
         kwargs.update(dict(zip(inspect.getfullargspec(func).args[1:1+len(args)], args)))
diff --git a/setup.py b/setup.py
index c774e73..f1b8f3a 100644
--- a/setup.py
+++ b/setup.py
@@ -2,7 +2,7 @@
 
 setup(
     name='explainerdashboard',
-    version='0.3.0rc1',
+    version='0.3.0rc2',
     description='Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.',
     long_description="""
 
diff --git a/tests/test_classifier_base.py b/tests/test_classifier_base.py
index 9c4e2db..5544cb2 100644
--- a/tests/test_classifier_base.py
+++ b/tests/test_classifier_base.py
@@ -152,7 +152,7 @@ def test_memory_usage(self):
 
     def test_keep_shap_pos_label_only(self):
         self.explainer.keep_shap_pos_label_only()
-        self.assertIsInstance(self.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
 
 
     def test_plot_importances(self):
diff --git a/tests/test_multiclass.py b/tests/test_multiclass.py
index d73aba0..2585551 100644
--- a/tests/test_multiclass.py
+++ b/tests/test_multiclass.py
@@ -208,8 +208,8 @@ def test_lift_curve_df(self):
 
     def test_keep_shap_pos_label_only(self):
         self.explainer.keep_shap_pos_label_only()
-        self.assertIsInstance(self.shap_values_df(), pd.DataFrame)
-        
+        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+
     def test_calculate_properties(self):
         self.explainer.calculate_properties()
         

From 5e194daec73c1a8d2d1bbc08c0b5fe4a576344a8 Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Wed, 27 Jan 2021 11:16:45 +0100
Subject: [PATCH 24/28] only store positive shap for binary classifiers

---
 RELEASE_NOTES.md                 |  10 ++-
 explainerdashboard/explainers.py | 103 ++++++++++++++++++++++---------
 tests/test_classifier_base.py    |   5 --
 tests/test_multiclass.py         |   2 +-
 4 files changed, 85 insertions(+), 35 deletions(-)

diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index f19b03b..146d99b 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -75,12 +75,17 @@ needed breaking changes at once.
 - new `memory_usage()` method to show which internal attributes take the most memory.
 - net `keep_shap_pos_label_only(pos_label)` method:
     - drops shap values and shap interactions for all labels except `pos_label`
-    - this should significantly reduce memory usage.
+    - this should significantly reduce memory usage for multi class classification
+        models.
+    - not needed for binary classifiers.
 - added `get_index_list()`, `get_X_row(index)`, and `get_y(index)` methods.
     - these can be overridden with `.set_index_list_func()`, `.set_X_row_func()`
         and `.set_y_func()`.
     - by overriding these functions you can for example sample observations 
         from a database or other storage instead of from `X_test`, `y_test`.
+- added `Popout` buttons to all the major graphs that open a large modal
+    showing just the graph. This makes it easier to focus on a particular
+    graph without distraction from the rest of the dashboard and all it's toggles.
 - added `max_cat_colors` parameters to `plot_importance_detailed` and `plot_dependence` and `plot_interactions_detailed`
     - prevents plotting getting slow with categorical features with many categories.
     - defaults to 5
@@ -97,6 +102,9 @@ needed breaking changes at once.
 - saving `X.copy()`, instead of using a reference to `X`
     - this would result in more memory usage in development
         though, so you can `del X_test` to save memory.
+- `ClassifierExplainer` only stores shap (interaction) values for the positive
+    class: shap values for the negative class can be generated on the fly
+    by multiplying with `-1`.
 - encoding onehot columns as `np.int8` saving memory usage
 - encoding categorical features as `pd.category` saving memory usage
 - added base `TreeExplainer` class that `RandomForestExplainer` and `XGBExplainer` both derive from
diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index fed1d18..9e2476d 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -1887,12 +1887,21 @@ def get_shap_values_df(self, pos_label=None):
             print("Calculating shap values...", flush=True)
             _shap_values = self.shap_explainer.shap_values(self.X)
             
-            if not isinstance(_shap_values, list) and len(self.labels)==2:
-                    _shap_values = [-_shap_values, _shap_values]
-
-            assert len(_shap_values)==len(self.labels),\
-                f"len(shap_values)={len(_shap_values)}"\
-                + f"and len(labels)={len(self.labels)} do not match!"
+            if len(self.labels) == 2:
+                if not isinstance(_shap_values, list):
+                    _shap_values = [_shap_values]
+                if isinstance(_shap_values, list) and len(_shap_values)==2:
+                    # for binary classifier only keep positive class
+                    _shap_values = _shap_values[1]
+                else:
+                    raise Exception(f"len(self.label)={len(self.labels)}, but "
+                            f"shap returned shap values for {len(_shap_values)} classes! "
+                            "Adjust the labels parameter accordingly!")
+            else:
+                assert len(_shap_values)==len(self.labels),\
+                    (f"len(self.label)={len(self.labels)}, but "
+                     f"shap returned shap values for {len(_shap_values)} classes! "
+                     "Adjust the labels parameter accordingly!")
             if self.model_output == 'probability':
                 for shap_values in _shap_values:
                     assert np.all(shap_values >= -1.0) , \
@@ -1902,24 +1911,37 @@ def get_shap_values_df(self, pos_label=None):
                     assert np.all(shap_values <= 1.0) , \
                         (f"model_output=='probability but some shap values are > 1.0!"
                          "Try setting model_output='logodds'.")
+            if len(self.labels) > 2:
+                self._shap_values_df = [pd.DataFrame(sv, columns=self.columns) for sv in _shap_values]
+                self._shap_values_df = [
+                    merge_categorical_shap_values(df, self.onehot_dict, 
+                            self.merged_cols).astype(self.precision) 
+                                    for df in self._shap_values_df]
+            else:
+                self._shap_values_df = merge_categorical_shap_values(
+                        pd.DataFrame(_shap_values, columns=self.columns), 
+                        self.onehot_dict, self.merged_cols).astype(self.precision) 
 
-            self._shap_values_df = [pd.DataFrame(sv, columns=self.columns) for sv in _shap_values]
-            self._shap_values_df = [
-                merge_categorical_shap_values(df, self.onehot_dict, 
-                        self.merged_cols).astype(self.precision) 
-                                for df in self._shap_values_df]
-        
-        if isinstance(self._shap_values_df, list):
-            return self._shap_values_df[pos_label]
+        if len(self.labels) > 2:
+            if isinstance(self._shap_values_df, list):
+                return self._shap_values_df[pos_label]
+            else:
+                return self._shap_values_df
         else:
-            return self._shap_values_df
+            if pos_label == 1:
+                return self._shap_values_df
+            elif pos_label == 0:
+                return self._shap_values_df.multiply(-1)
+            else:
+                raise ValueError(f"pos_label={pos_label}, but should be either 1 or 0!")
+
 
     @insert_pos_label
     def shap_interaction_values(self, pos_label=None):
         """SHAP interaction values"""
         if not hasattr(self, '_shap_interaction_values'):
             _ = self.get_shap_values_df() #make sure shap values have been calculated
-            print("Calculating shap interaction values...", flush=True)
+            print("Calculating shap interaction values... (this may take a while)", flush=True)
             if self.shap == 'tree':
                 print("Reminder: TreeShap computational complexity is O(TLD^2), "
                     "where T is the number of trees, L is the maximum number of"
@@ -1928,24 +1950,45 @@ def shap_interaction_values(self, pos_label=None):
                     flush=True)
             self._shap_interaction_values = self.shap_explainer.shap_interaction_values(self.X)
             
-            if not isinstance(self._shap_interaction_values, list) and len(self.labels)==2:
-                if self.model_output == "probability":
-                    self._shap_interaction_values = [1-self._shap_interaction_values,
-                                                        self._shap_interaction_values]
-                else: # assume logodds so logodds of negative class is -logodds of positive class
-                    self._shap_interaction_values = [-self._shap_interaction_values,
-                                                        self._shap_interaction_values]
+            if len(self.labels) == 2:
+                if not isinstance(self._shap_interaction_values, list):
+                    self._shap_interaction_values = [self._shap_interaction_values]
+                if isinstance(self._shap_interaction_values, list) and len(self._shap_interaction_values)==2:
+                    # for binary classifier only keep positive class
+                    self._shap_interaction_values = [self._shap_interaction_values[1]]
+                else:
+                    raise Exception(f"len(self.label)={len(self.labels)}, but "
+                            f"shap returned shap interaction values for "
+                            f"{len(self._shap_interaction_values)} classes! "
+                            "Adjust the labels parameter accordingly!")
+            else:
+                assert len(self._shap_interaction_values)==len(self.labels),\
+                    (f"len(self.label)={len(self.labels)}, but "
+                     f"shap returned shap values for {len(_shap_values)} classes! "
+                     "Adjust the labels parameter accordingly!")
+
             self._shap_interaction_values = \
                 [merge_categorical_shap_interaction_values(
                     siv, self.columns, self.merged_cols, 
                     self.onehot_dict).astype(self.precision) for siv in self._shap_interaction_values]
+            if len(self._shap_interaction_values) == 1:
+                 self._shap_interaction_values =  self._shap_interaction_values[0]
+
             # self._shap_interaction_values = [
             #     normalize_shap_interaction_values(siv, self.shap_values)
             #         for siv, sv in zip(self._shap_interaction_values, self._shap_values_df)]
-        if isinstance(self._shap_interaction_values, list):
-            return self._shap_interaction_values[pos_label]
+        if len(self.labels) > 2:
+            if isinstance(self._shap_interaction_values, list):
+                return self._shap_interaction_values[pos_label]
+            else:
+                return self._shap_interaction_values
         else:
-            return self._shap_interaction_values
+            if pos_label == 1:
+                return self._shap_interaction_values
+            elif pos_label == 0:
+                return self._shap_interaction_values * -1
+            else:
+                raise ValueError(f"pos_label={pos_label}, but should be either 1 or 0!")
 
     @insert_pos_label
     def mean_abs_shap_df(self, pos_label=None):
@@ -1961,9 +2004,13 @@ def mean_abs_shap_df(self, pos_label=None):
     @insert_pos_label
     def keep_shap_pos_label_only(self, pos_label=None):
         """drops the shap values and shap_interaction values for all labels 
-        except pos_label in order to save on memory usage"""
+        except pos_label in order to save on memory usage for multi class classifiers"""
+        assert len(self.labels) > 2, \
+            ("It is not necessary to drop shap values for binary classifiers! "
+            "ClassifierExplainer only store a single label anyway and return "
+            "negative shap_values for the negative class...")
         if hasattr(self, "_shap_values_df"):
-            self._shap_values_df= self.get_shap_values_df(pos_label)
+            self._shap_values_df = self.get_shap_values_df(pos_label)
         if hasattr(self, "_shap_interaction_values"):
             self._shap_interaction_values = self.shap_interaction_values(pos_label)
 
diff --git a/tests/test_classifier_base.py b/tests/test_classifier_base.py
index 5544cb2..65be915 100644
--- a/tests/test_classifier_base.py
+++ b/tests/test_classifier_base.py
@@ -150,11 +150,6 @@ def test_memory_usage(self):
         self.assertIsInstance(self.explainer.memory_usage(), pd.DataFrame)
         self.assertIsInstance(self.explainer.memory_usage(cutoff=1000), pd.DataFrame)
 
-    def test_keep_shap_pos_label_only(self):
-        self.explainer.keep_shap_pos_label_only()
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
-
-
     def test_plot_importances(self):
         fig = self.explainer.plot_importances()
         self.assertIsInstance(fig, go.Figure)
diff --git a/tests/test_multiclass.py b/tests/test_multiclass.py
index 2585551..592d05e 100644
--- a/tests/test_multiclass.py
+++ b/tests/test_multiclass.py
@@ -208,7 +208,7 @@ def test_lift_curve_df(self):
 
     def test_keep_shap_pos_label_only(self):
         self.explainer.keep_shap_pos_label_only()
-        self.assertIsInstance(self.explainer.shap_values_df(), pd.DataFrame)
+        self.assertIsInstance(self.explainer.get_shap_values_df(), pd.DataFrame)
 
     def test_calculate_properties(self):
         self.explainer.calculate_properties()

From 8a464bef8d35acd749db05e321727d45c5d2223b Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Wed, 27 Jan 2021 11:36:51 +0100
Subject: [PATCH 25/28] README update

---
 README.md        | 36 +++++++++++++++++++++++++++++++++++-
 RELEASE_NOTES.md |  6 +++---
 2 files changed, 38 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 1f5d191..d519ee0 100644
--- a/README.md
+++ b/README.md
@@ -454,7 +454,41 @@ or with waitress (also works on Windows):
     $ waitress-serve dashboard:app
 ```
 
-
+### Minimizing memory usage
+
+When you deploy a dashboard with a dataset with a large number of rows (`n`) and columns (`m`),
+the memory usage of the dashboard can be substantial. You can check the (approximate)
+memory usage with `explainer.memory_usage()`. In order to reduce the memory
+footprint there are a number of things you can do:
+
+1. Not including shap interaction tab: shap interaction values are shape (`n*m*m`),
+    so can take a subtantial amount of memory.
+2. Setting a lower precision. By default shap values are stored as `'float64'`,
+    but you can store them as `'float32'` instead and save half the space:
+    ```ClassifierExplainer(model, X_test, y_test, precision='float32')```. You 
+    can also set a lower precision on your `X_test` dataset yourself ofcourse.
+3. For multi class classifier, by default `ClassifierExplainer` calculates
+    shap values for all classes. If you're only interested in a single class
+    you can drop the other shap values: `explainer.keep_shap_pos_label_only(pos_label)`
+4. Storing data externally. You can for example only store a subset of 10.000 rows in
+    the explainer itself (enough to generate importance and dependence plots),
+    and store the rest of your millions of rows of input data in an external file 
+    or database:
+    - with `explainer.set_X_row_func()` you can set a function that takes 
+        and `index` as argument and returns a single row dataframe with model
+        compatible input data for that index. This function can include a query
+        to a database or fileread. 
+    - with `explainer.set_y_func()` you can set a function that takes 
+        and `index` as argument and returns the observed outcome `y` for
+        that index.
+    - with `explainer.set_index_list_func()` you can set a function 
+        that returns a list of available indexes that can be queried.
+
+    Important: these function can be called multiple times by multiple independent
+    components, so probably best to implement some kind of caching functionality.
+    The functions you pass can be also methods, so you have access to all of the
+    internals of the explainer.
+    
 
 ## Documentation
 
diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index 146d99b..ed130bc 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -3,13 +3,13 @@
 
 ## 0.3.0:
 This is a major release and comes with lots of breaking changes to the lower level 
-explainer API. The higherlevel `ExplainerComponent` and `ExplainerDashboard` API has not been
+`ClassifierExplainer` and `RegressionExplainer` API. The higherlevel `ExplainerComponent` and `ExplainerDashboard` API has not been
 changed however, except for the deprecation of the `cats` and `hide_cats` parameters.
 
 Explainers generated with version `explainerdashboard <= 0.2.20.1` will not work 
 with this version, so if you have stored explainers to disk you either have to 
-rebuild them, or downgrade back to `explainerdashboard==0.2.20.1`! (hope you 
-pinned your dependencies in production!)
+rebuild them with this new version, or downgrade back to `explainerdashboard==0.2.20.1`! (hope you 
+pinned your dependencies in production! ;-)
 
 Main motivation for these breaking changes was to improve memory usage of the
 dashboards, especially in production. This lead to the deprecation of the

From cf5f3bc831fe397f71a7720d58be832b9d54253e Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Wed, 27 Jan 2021 11:49:41 +0100
Subject: [PATCH 26/28] fix shap_values bug if no list returned

---
 explainerdashboard/dashboards.py | 11 ++++++-----
 explainerdashboard/explainers.py |  4 ++--
 2 files changed, 8 insertions(+), 7 deletions(-)

diff --git a/explainerdashboard/dashboards.py b/explainerdashboard/dashboards.py
index 292c71f..455d753 100644
--- a/explainerdashboard/dashboards.py
+++ b/explainerdashboard/dashboards.py
@@ -362,11 +362,12 @@ def __init__(self, explainer=None, tabs=None,
         self._store_params(no_param=['explainer', 'tabs', 'server'])
         self._stored_params['tabs'] = self._tabs_to_yaml(tabs)
         if not hasattr(explainer, "__version__"):
-            raise ValueError(f"The {explainer.__class__.__name__} was generated with a version of "
-                    "explainerdashboard<0.3 and therefore not compatible with "
-                    "this version's ExplainerDashboard! Please regenerate "
-                    "your explainer and .dump() it to take advantage of this "
-                    "new version.")
+            raise ValueError(f"The {explainer.__class__.__name__} was generated "
+                    "with a version of explainerdashboard<0.3 and therefore not "
+                    "compatible with this version of ExplainerDashboard due to "
+                    "breaking changes in between major versions! Please rebuild "
+                    f"your {explainer.__class__.__name__} with this version, or "
+                    "downgrade back to explainerdashboard==0.2.20.1!")
 
         from packaging.version import parse as parse_version
 
diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index 9e2476d..f2a8cca 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -1890,7 +1890,7 @@ def get_shap_values_df(self, pos_label=None):
             if len(self.labels) == 2:
                 if not isinstance(_shap_values, list):
                     _shap_values = [_shap_values]
-                if isinstance(_shap_values, list) and len(_shap_values)==2:
+                elif isinstance(_shap_values, list) and len(_shap_values)==2:
                     # for binary classifier only keep positive class
                     _shap_values = _shap_values[1]
                 else:
@@ -1953,7 +1953,7 @@ def shap_interaction_values(self, pos_label=None):
             if len(self.labels) == 2:
                 if not isinstance(self._shap_interaction_values, list):
                     self._shap_interaction_values = [self._shap_interaction_values]
-                if isinstance(self._shap_interaction_values, list) and len(self._shap_interaction_values)==2:
+                elif isinstance(self._shap_interaction_values, list) and len(self._shap_interaction_values)==2:
                     # for binary classifier only keep positive class
                     self._shap_interaction_values = [self._shap_interaction_values[1]]
                 else:

From 7efc168688eb33660bf12cc7c75bf8c6c6df0292 Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Wed, 27 Jan 2021 12:11:15 +0100
Subject: [PATCH 27/28] fix xgboost shap bug

---
 TODO.md                          | 15 +--------------
 explainerdashboard/explainers.py |  6 +++---
 2 files changed, 4 insertions(+), 17 deletions(-)

diff --git a/TODO.md b/TODO.md
index fe65320..f6fb4aa 100644
--- a/TODO.md
+++ b/TODO.md
@@ -2,17 +2,10 @@
 # TODO:
 
 ## Version 0.3:
-- check all register_dependencies()
 - check InlineExplainer 
 
 ## Bugs:
 
-
-## Layout:
-- Find a proper frontender to help :)
-
-## dfs:
-
 ## Plots:
 - make plot background transparent?
 - Only use ScatterGl above a certain cutoff
@@ -34,8 +27,6 @@
 
 
 ## Explainers:
-- with binary classifiers only keep shap values of positive class, return -shap
-    for negative class.
 - pass n_jobs to pdp_isolate
 - add ExtraTrees and GradientBoostingClassifier to tree visualizers
 - add plain language explanations
@@ -49,7 +40,6 @@
 
 
 ## Dashboard:
-- add popout button
 - add SimpleClassifierDashboard
 - add SimpleRegressionDashboard
 - Add EDA style feature histograms, bar charts, correlation graphs, etc
@@ -77,8 +67,6 @@
 - add pos_label_name property to PosLabelConnector search
 - add "number of indexes" indicator to RandomIndexComponents for current restrictions
 - set equivalent_col when toggling cats in dependence/interactions
-
-- add width/height to components
 - whatif:
     - Add a constraints function to whatif component:
         - tests if current feature input is allowed
@@ -86,7 +74,6 @@
         - could build WhatIfComponentException for this?
     - Add sliders option to what if component
 
-
 ## Methods:
 - add support for SamplingExplainer, PartitionExplainer, PermutationExplainer, AdditiveExplainer
 - add support for LimeTabularExplainer:
@@ -102,7 +89,7 @@
 - write tests for explainer_plots
 
 ## Docs:
-- add memory savings to docs/README:
+- add memory savings to docs:
     - memory_usage()
     - keep_shap_pos_label_only()
     - set_X_row_func, etc
diff --git a/explainerdashboard/explainers.py b/explainerdashboard/explainers.py
index f2a8cca..5604f99 100644
--- a/explainerdashboard/explainers.py
+++ b/explainerdashboard/explainers.py
@@ -1709,8 +1709,8 @@ def pos_label_str(self):
     def pos_label_index(self, pos_label):
         """return int index of pos_label_str"""
         if isinstance(pos_label, int):
-            assert pos_label <= len(self.labels), \
-                f"pos_label {pos_label} is larger than number of labels!"
+            assert pos_label >= 0 and pos_label <= len(self.labels), \
+                f"pos_label={pos_label}, but should be >= 0 and <= {len(self.labels)-1}!"
             return pos_label
         elif isinstance(pos_label, str):
             assert pos_label in self.labels, \
@@ -1889,7 +1889,7 @@ def get_shap_values_df(self, pos_label=None):
             
             if len(self.labels) == 2:
                 if not isinstance(_shap_values, list):
-                    _shap_values = [_shap_values]
+                    assert len(_shap_values.shape) == 2, f"shap_values should be 2d, instead shape={_shap_values.shape}!"
                 elif isinstance(_shap_values, list) and len(_shap_values)==2:
                     # for binary classifier only keep positive class
                     _shap_values = _shap_values[1]

From 056c80e6674d97f2671d0077027b1f5a7897347f Mon Sep 17 00:00:00 2001
From: Oege Dijk <oegedijk@gmail.com>
Date: Wed, 27 Jan 2021 14:31:50 +0100
Subject: [PATCH 28/28] bump version

---
 RELEASE_NOTES.md | 40 ++++++++++++++++++++--------------------
 setup.py         |  2 +-
 2 files changed, 21 insertions(+), 21 deletions(-)

diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
index ed130bc..2a0671e 100644
--- a/RELEASE_NOTES.md
+++ b/RELEASE_NOTES.md
@@ -8,8 +8,8 @@ changed however, except for the deprecation of the `cats` and `hide_cats` parame
 
 Explainers generated with version `explainerdashboard <= 0.2.20.1` will not work 
 with this version, so if you have stored explainers to disk you either have to 
-rebuild them with this new version, or downgrade back to `explainerdashboard==0.2.20.1`! (hope you 
-pinned your dependencies in production! ;-)
+rebuild them with this new version, or downgrade back to `explainerdashboard==0.2.20.1`! 
+(hope you pinned your dependencies in production! ;)
 
 Main motivation for these breaking changes was to improve memory usage of the
 dashboards, especially in production. This lead to the deprecation of the
@@ -42,12 +42,12 @@ needed breaking changes at once.
     - `BaseExplainer`:
         - `importances_df()` -> `get_importances_df()`
         - `feature_permutations_df()` -> `get_feature_permutations_df()`
-        - `self.get_int_idx(index)` -> `self.get_idx(index)`
-        - `self.importances_df()` -> `self.get_importances_df()`
-        - `self.contrib_df()` -> `self.get_contrib_df()` *
-        - `self.contrib_summary_df()` -> `self.get_summary_contrib_df()` *
-        - `self.interaction_df()` -> `get_interactions_df()` *
-        - `self.shap_values` -> `self.get_shap_values_df`
+        - `get_int_idx(index)` -> `get_idx(index)`
+        - `importances_df()` -> `get_importances_df()`
+        - `contrib_df()` -> `get_contrib_df()` *
+        - `contrib_summary_df()` -> `self.get_summary_contrib_df()` *
+        - `interaction_df()` -> `get_interactions_df()` *
+        - `shap_values` -> `get_shap_values_df`
         - `plot_shap_contributions()` -> `plot_contributions()`
         - `plot_shap_summary()` -> `plot_importances_detailed()`
         - `plot_shap_dependence()` -> `plot_dependence()`
@@ -61,19 +61,19 @@ needed breaking changes at once.
         - `self.pred_probas` -> `self.pred_probas()`
         - `precision_df()` -> `get_precision_df()` *
         - `lift_curve_df()` -> `get_liftcurve_df()` *
-    -`RandomForestExplainer`/`XGBExplainer`:
-        - `self.decision_trees` -> `self.shadow_trees`
-        - `self.decisiontree_df()` -> `self.get_decisionpath_df()`
-        - `self.decisiontree_summary_df()` -> `self.get_decisionpath_summary_df()`
-        - `self.decision_path_file()` -> `self.decisiontree_file()`
-        - `self.decision_path()` -> `self.decisiontree()`
-        - `self.decision_path_encoded()` -> `self.decisiontree_encoded()`
+    - `RandomForestExplainer`/`XGBExplainer`:
+        - `decision_trees` -> `shadow_trees`
+        - `decisiontree_df()` -> `get_decisionpath_df()`
+        - `decisiontree_summary_df()` -> `get_decisionpath_summary_df()`
+        - `decision_path_file()` -> `decisiontree_file()`
+        - `decision_path()` -> `decisiontree()`
+        - `decision_path_encoded()` -> `decisiontree_encoded()`
 
 ### New Features
 - new `Explainer` parameter `precision`: defaults to `'float64'`. Can be set to
-    `'float32'` to save on memory usage.
+    `'float32'` to save on memory usage: `ClassifierExplainer(model, X, y, precision='float32')`
 - new `memory_usage()` method to show which internal attributes take the most memory.
-- net `keep_shap_pos_label_only(pos_label)` method:
+- for multiclass classifiers: `keep_shap_pos_label_only(pos_label)` method:
     - drops shap values and shap interactions for all labels except `pos_label`
     - this should significantly reduce memory usage for multi class classification
         models.
@@ -82,13 +82,13 @@ needed breaking changes at once.
     - these can be overridden with `.set_index_list_func()`, `.set_X_row_func()`
         and `.set_y_func()`.
     - by overriding these functions you can for example sample observations 
-        from a database or other storage instead of from `X_test`, `y_test`.
+        from a database or other external storage instead of from `X_test`, `y_test`.
 - added `Popout` buttons to all the major graphs that open a large modal
     showing just the graph. This makes it easier to focus on a particular
     graph without distraction from the rest of the dashboard and all it's toggles.
 - added `max_cat_colors` parameters to `plot_importance_detailed` and `plot_dependence` and `plot_interactions_detailed`
     - prevents plotting getting slow with categorical features with many categories.
-    - defaults to 5
+    - defaults to `5`
     - can be set as `**kwarg` to `ExplainerDashboard`
 - adds category limits and sorting to `RegressionVsCol` component
 - adds property `X_merged` that gives a dataframe with the onehot columns merged.
@@ -103,7 +103,7 @@ needed breaking changes at once.
     - this would result in more memory usage in development
         though, so you can `del X_test` to save memory.
 - `ClassifierExplainer` only stores shap (interaction) values for the positive
-    class: shap values for the negative class can be generated on the fly
+    class: shap values for the negative class are generated on the fly
     by multiplying with `-1`.
 - encoding onehot columns as `np.int8` saving memory usage
 - encoding categorical features as `pd.category` saving memory usage
diff --git a/setup.py b/setup.py
index f1b8f3a..070a08c 100644
--- a/setup.py
+++ b/setup.py
@@ -2,7 +2,7 @@
 
 setup(
     name='explainerdashboard',
-    version='0.3.0rc2',
+    version='0.3.0',
     description='Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.',
     long_description="""