diff --git a/bs/R/DoseResponse.R b/bs/R/DoseResponse.R
index 08c2c3c..55574b0 100644
--- a/bs/R/DoseResponse.R
+++ b/bs/R/DoseResponse.R
@@ -13,6 +13,13 @@ DoseResponseSidebarUI <- function(id) {
       ),
       uiOutput(NS(id,"open_formula_editor_corr")),
       br(),
+      div(
+        class = "boxed-output",
+        uiOutput(NS(id, "open_split_by_group")),
+        uiOutput(NS(id, "data_splitted")),
+        verbatimTextOutput(NS(id, "applied_filter"))
+      ),
+      br(),
       textInput(NS(id, "substanceNames"), "Names column of dependent Variable", value = "names"),
       textInput(NS(id, "negIdentifier"), "Identifier for the negative control", value = "neg"),
       textInput(NS(id, "posIdentifier"), "Identifier for the positive control", value = "pos"),
@@ -42,6 +49,55 @@ DoseResponseUI <- function(id) {
 DoseResponseServer <- function(id, data, listResults) {
   moduleServer(id, function(input, output, session) {
 
+    # Render split by group
+    output$open_split_by_group <- renderUI({
+      actionButton(NS(id, "open_split_by_group"),
+        "Open the split by group functionality",
+        title = "Open the split by group helper window",
+        disabled = is.null(data$df) || !is.data.frame(data$df)
+      )
+    })
+
+    observeEvent(input[["open_split_by_group"]], {
+      showModal(modalDialog(
+        title = "SplitByGroup",
+        SplitByGroupUI("SG"),
+        easyClose = TRUE,
+        size = "l",
+        footer = NULL
+      ))
+    })
+
+    # check if data is splitted
+    output$data_splitted <- renderUI({
+      actionButton(NS(id, "remove_filter"),
+        "Remove the filter from the dataset",
+        title = "remove the filter of the dataset",
+        disabled = is.null(data$backup_df) || !is.data.frame(data$backup_df)
+      )
+    })
+
+    observe({
+      output$applied_filter <- renderText(NULL)
+      req(!is.null(data$filter_col))
+      req(!is.null(data$filter_group))
+      output$applied_filter <- renderText({
+        paste0(
+          "The dataset is splitted by the variable ",
+          data$filter_col,
+          " and the group is ",
+          data$filter_group)
+      })
+    })
+
+    # Remove filter
+    observeEvent(input[["remove_filter"]], {
+      data$df <- data$backup_df
+      data$backup_df <- NULL
+      data$filter_col <- NULL
+      data$filter_group <- NULL
+    })
+
     observeEvent(input[["df_help_icon"]], {
       showModal(modalDialog(
         title = "Example Dataframe",
diff --git a/bs/R/assumption.R b/bs/R/assumption.R
index a2e3327..cff9a77 100644
--- a/bs/R/assumption.R
+++ b/bs/R/assumption.R
@@ -3,6 +3,12 @@ assSidebarUI <- function(id) {
     "Assumption",
     tags$hr(),
     uiOutput(NS(id, "open_formula_editor_corr")),
+    div(
+      class = "boxed-output",
+      uiOutput(NS(id, "open_split_by_group")),
+      uiOutput(NS(id, "data_splitted")),
+      verbatimTextOutput(NS(id, "applied_filter"))
+    ),
     tags$hr(),
     tags$div(
       class = "header", checked = NA,
@@ -59,6 +65,56 @@ assUI <- function(id) {
 
 assServer <- function(id, data, listResults) {
   moduleServer(id, function(input, output, session) {
+    # Render split by group
+    output$open_split_by_group <- renderUI({
+      actionButton(NS(id, "open_split_by_group"),
+        "Open the split by group functionality",
+        title = "Open the split by group helper window",
+        disabled = is.null(data$df) || !is.data.frame(data$df)
+      )
+    })
+
+    observeEvent(input[["open_split_by_group"]], {
+      showModal(modalDialog(
+        title = "SplitByGroup",
+        SplitByGroupUI("SG"),
+        easyClose = TRUE,
+        size = "l",
+        footer = NULL
+      ))
+    })
+
+    # check if data is splitted
+    output$data_splitted <- renderUI({
+      actionButton(NS(id, "remove_filter"),
+        "Remove the filter from the dataset",
+        title = "remove the filter of the dataset",
+        disabled = is.null(data$backup_df) || !is.data.frame(data$backup_df)
+      )
+    })
+
+    observe({
+      output$applied_filter <- renderText(NULL)
+      req(!is.null(data$filter_col))
+      req(!is.null(data$filter_group))
+      output$applied_filter <- renderText({
+        paste0(
+          "The dataset is splitted by the variable ",
+          data$filter_col,
+          " and the group is ",
+          data$filter_group
+        )
+      })
+    })
+
+    # Remove filter
+    observeEvent(input[["remove_filter"]], {
+      data$df <- data$backup_df
+      data$backup_df <- NULL
+      data$filter_col <- NULL
+      data$filter_group <- NULL
+    })
+
 
     output$open_formula_editor_corr <- renderUI({
       actionButton(NS(id, "open_formula_editor"),
diff --git a/bs/R/correlation.R b/bs/R/correlation.R
index 259852f..906c37c 100644
--- a/bs/R/correlation.R
+++ b/bs/R/correlation.R
@@ -3,10 +3,12 @@ corrSidebarUI <- function(id) {
     "Correlation",
     uiOutput(NS(id, "open_formula_editor_corr")),
     br(),
-    uiOutput(NS(id, "open_split_by_group")),
-    br(),
-    uiOutput(NS(id, "data_splitted")),
-    verbatimTextOutput(NS(id, "applied_filter")),
+    div(
+      class = "boxed-output",
+      uiOutput(NS(id, "open_split_by_group")),
+      uiOutput(NS(id, "data_splitted")),
+      verbatimTextOutput(NS(id, "applied_filter"))
+    ),
     br(),
     actionButton(NS(id, "pear"), "Pearson correlation"),
     actionButton(NS(id, "spear"), "Spearman correlation"),
@@ -44,7 +46,6 @@ corrUI <- function(id) {
 
 corrServer <- function(id, data, listResults) {
   moduleServer(id, function(input, output, session) {
-
     # Render split by group
     output$open_split_by_group <- renderUI({
       actionButton(NS(id, "open_split_by_group"),
@@ -82,7 +83,8 @@ corrServer <- function(id, data, listResults) {
           "The dataset is splitted by the variable ",
           data$filter_col,
           " and the group is ",
-          data$filter_group)
+          data$filter_group
+        )
       })
     })
 
diff --git a/bs/R/statisticalTests.R b/bs/R/statisticalTests.R
index 91755ea..a024c34 100644
--- a/bs/R/statisticalTests.R
+++ b/bs/R/statisticalTests.R
@@ -3,6 +3,12 @@ testsSidebarUI <- function(id) {
     "Tests",
     uiOutput(NS(id, "open_formula_editor_corr")),
     br(),
+    div(
+      class = "boxed-output",
+      uiOutput(NS(id, "open_split_by_group")),
+      uiOutput(NS(id, "data_splitted")),
+      verbatimTextOutput(NS(id, "applied_filter"))
+    ),
     conditionalPanel(
       condition = "input.TestsConditionedPanels == 'Two groups'",
       sliderInput(NS(id, "confLevel"), "Confidence level of the interval",
@@ -111,6 +117,55 @@ testsUI <- function(id) {
 testsServer <- function(id, data, listResults) {
   moduleServer(id, function(input, output, session) {
 
+    # Render split by group
+    output$open_split_by_group <- renderUI({
+      actionButton(NS(id, "open_split_by_group"),
+        "Open the split by group functionality",
+        title = "Open the split by group helper window",
+        disabled = is.null(data$df) || !is.data.frame(data$df)
+      )
+    })
+
+    observeEvent(input[["open_split_by_group"]], {
+      showModal(modalDialog(
+        title = "SplitByGroup",
+        SplitByGroupUI("SG"),
+        easyClose = TRUE,
+        size = "l",
+        footer = NULL
+      ))
+    })
+
+    # check if data is splitted
+    output$data_splitted <- renderUI({
+      actionButton(NS(id, "remove_filter"),
+        "Remove the filter from the dataset",
+        title = "remove the filter of the dataset",
+        disabled = is.null(data$backup_df) || !is.data.frame(data$backup_df)
+      )
+    })
+
+    observe({
+      output$applied_filter <- renderText(NULL)
+      req(!is.null(data$filter_col))
+      req(!is.null(data$filter_group))
+      output$applied_filter <- renderText({
+        paste0(
+          "The dataset is splitted by the variable ",
+          data$filter_col,
+          " and the group is ",
+          data$filter_group)
+      })
+    })
+
+    # Remove filter
+    observeEvent(input[["remove_filter"]], {
+      data$df <- data$backup_df
+      data$backup_df <- NULL
+      data$filter_col <- NULL
+      data$filter_group <- NULL
+    })
+
     output$open_formula_editor_corr <- renderUI({
       actionButton(NS(id, "open_formula_editor"),
         "Open formula editor",
diff --git a/bs/R/visualisation.R b/bs/R/visualisation.R
index 148f08d..6de91e7 100644
--- a/bs/R/visualisation.R
+++ b/bs/R/visualisation.R
@@ -1,6 +1,12 @@
 visSidebarUI <- function(id) {
   tabPanel(
     "Visualisation",
+    div(
+      class = "boxed-output",
+    uiOutput(NS(id, "open_split_by_group")),
+      uiOutput(NS(id, "data_splitted")),
+      verbatimTextOutput(NS(id, "applied_filter"))
+    ),
     textInput(NS(id, "yVar"), "Y variable", value = "y"),
     textInput(NS(id, "xVar"), "X variable", value = "x"),
     radioButtons(NS(id, "xType"), "Type of x",
@@ -122,6 +128,56 @@ visUI <- function(id) {
 
 visServer <- function(id, data, listResults) {
   moduleServer(id, function(input, output, session) {
+
+    # Render split by group
+    output$open_split_by_group <- renderUI({
+      actionButton(NS(id, "open_split_by_group"),
+        "Open the split by group functionality",
+        title = "Open the split by group helper window",
+        disabled = is.null(data$df) || !is.data.frame(data$df)
+      )
+    })
+
+    observeEvent(input[["open_split_by_group"]], {
+      showModal(modalDialog(
+        title = "SplitByGroup",
+        SplitByGroupUI("SG"),
+        easyClose = TRUE,
+        size = "l",
+        footer = NULL
+      ))
+    })
+
+    # check if data is splitted
+    output$data_splitted <- renderUI({
+      actionButton(NS(id, "remove_filter"),
+        "Remove the filter from the dataset",
+        title = "remove the filter of the dataset",
+        disabled = is.null(data$backup_df) || !is.data.frame(data$backup_df)
+      )
+    })
+
+    observe({
+      output$applied_filter <- renderText(NULL)
+      req(!is.null(data$filter_col))
+      req(!is.null(data$filter_group))
+      output$applied_filter <- renderText({
+        paste0(
+          "The dataset is splitted by the variable ",
+          data$filter_col,
+          " and the group is ",
+          data$filter_group)
+      })
+    })
+
+    # Remove filter
+    observeEvent(input[["remove_filter"]], {
+      data$df <- data$backup_df
+      data$backup_df <- NULL
+      data$filter_col <- NULL
+      data$filter_group <- NULL
+    })
+
     plotFct <- function(method) {
       req(is.data.frame(data$df))
       df <- data$df
diff --git a/bs/R/www/styles.css b/bs/R/www/styles.css
new file mode 100644
index 0000000..d20a78c
--- /dev/null
+++ b/bs/R/www/styles.css
@@ -0,0 +1,39 @@
+.boxed-output {
+  border: 2px solid #900C3F;
+  padding: 10px;
+  border-radius: 5px;
+  margin-top: 10px;
+}
+.add-button {
+  position: relative;
+  padding-right: 20px;
+}
+.add-button::after {
+  content: '\\2295';
+  position: absolute;
+  top: 1.1px;
+  right: 5px;
+  font-size: 16px;
+  font-weight: bold;
+  color: #900C3F;
+  background-color: white;
+  width: 15px;
+  height: 15px;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+}
+.model {
+  background-color: #f8f9fa;
+  padding: 15px;
+  border: 2px solid #c8c8c8;
+  border-radius: 5px;
+  margin-top: 10px;
+}
+.title {
+  font-size: 14px;
+  font-weight: bold;
+  margin-bottom: 10px;
+  color: #333;
+}
+