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diff --git a/html_outputs/new_pages/regression.html b/html_outputs/new_pages/regression.html
diff --git a/html_outputs/new_pages/reportfactory.html b/html_outputs/new_pages/reportfactory.html
diff --git a/html_outputs/new_pages/rmarkdown.html b/html_outputs/new_pages/rmarkdown.html
diff --git a/html_outputs/new_pages/shiny_basics.html b/html_outputs/new_pages/shiny_basics.html
diff --git a/html_outputs/new_pages/standardization.html b/html_outputs/new_pages/standardization.html
diff --git a/html_outputs/new_pages/survey_analysis.html b/html_outputs/new_pages/survey_analysis.html
diff --git a/..._outputs/new_pages/survey_analysis_files/figure-html/weighted_age_pyramid-1.png b/..._outputs/new_pages/survey_analysis_files/figure-html/weighted_age_pyramid-1.png
diff --git a/html_outputs/new_pages/survival_analysis.html b/html_outputs/new_pages/survival_analysis.html
diff --git a/html_outputs/new_pages/tables_presentation.html b/html_outputs/new_pages/tables_presentation.html
diff --git a/html_outputs/new_pages/time_series.html b/html_outputs/new_pages/time_series.html
diff --git a/html_outputs/new_pages/transmission_chains.html b/html_outputs/new_pages/transmission_chains.html
diff --git a/html_outputs/new_pages/writing_functions.html b/html_outputs/new_pages/writing_functions.html
diff --git a/html_outputs/search.json b/html_outputs/search.json
diff --git a/html_outputs/site_libs/leaflet-binding-2.2.2/leaflet.js b/html_outputs/site_libs/leaflet-binding-2.2.2/leaflet.js
diff --git a/html_outputs/site_libs/leaflet-providers-plugin-2.2.2/leaflet-providers-plugin.js b/html_outputs/site_libs/leaflet-providers-plugin-2.2.2/leaflet-providers-plugin.js
@@ -0,0 +1,3 @@
+LeafletWidget.methods.addProviderTiles = function(provider, layerId, group, options) {
+  this.layerManager.addLayer(L.tileLayer.provider(provider, options), "tile", layerId, group);
+};
diff --git a/new_pages/help.qmd b/new_pages/help.qmd
@@ -3,7 +3,9 @@
 
 This page covers how to get help by posting a Github issue or by posting a reproducible example ("reprex") to an online forum.  
 
-
+```{r, echo = F, warning = F, message = F}
+library(tidyverse)
+```
 
 
 ## Github issues  

diff --git a/new_pages/missing_data.qmd b/new_pages/missing_data.qmd
@@ -560,7 +560,7 @@ You could also do a similar process for replacing categorical data with a specif
 
 ```{r}
 linelist <- linelist %>%
-  mutate(outcome_replace_na_with_death = replace_na(outcome, "Death"))
+  mutate(outcome_replace_na_with_death = replace_na(outcome, 1))
 ```
 
 ### Regression imputation {.unnumbered}

diff --git a/new_pages/regression_files/execute-results/html.json b/new_pages/regression_files/execute-results/html.json
diff --git a/new_pages/regression_files/figure-html/easystats_forest-1.png b/new_pages/regression_files/figure-html/easystats_forest-1.png
diff --git a/new_pages/regression_files/figure-html/geom_smooth-1.png b/new_pages/regression_files/figure-html/geom_smooth-1.png
diff --git a/new_pages/regression_files/figure-html/ggplot_forest-1.png b/new_pages/regression_files/figure-html/ggplot_forest-1.png
diff --git a/new_pages/regression_files/figure-html/lin_reg_res_plot-1.png b/new_pages/regression_files/figure-html/lin_reg_res_plot-1.png
diff --git a/new_pages/standardization.qmd b/new_pages/standardization.qmd
@@ -263,7 +263,6 @@ Currently, the values of the column `age_cat5` from the `standard_pop_data` data
 ```{r}
 # Remove specific string from column values
 standard_pop_clean <- standard_pop_data %>%
-     rename(age_cat5 = AgeGroup) %>%                 #Change name of age group column to match that in our population data and death counts
      mutate(
           age_cat5 = str_replace_all(age_cat5, "years", ""),   # remove "year"
           age_cat5 = str_replace_all(age_cat5, "plus", ""),    # remove "plus"
@@ -279,7 +278,9 @@ standard_pop_clean <- standard_pop_data %>%
 Finally, the package **PHEindicatormethods**, detailed [below](#standard_phe), expects the standard populations joined to the country event and population counts. So, we will create a dataset `all_data` for that purpose.  
 
 ```{r}
-all_data <- left_join(country_data, standard_pop_clean, by=c("age_cat5", "Sex"))
+all_data <- left_join(country_data, 
+                      standard_pop_clean, 
+                      by = c("age_cat5", "Sex"))
 ```
 
 This complete dataset looks like this:  

diff --git a/new_pages/survey_analysis.qmd b/new_pages/survey_analysis.qmd
@@ -964,27 +964,31 @@ purrr::map(
 
 ```
 
-
-
 ### **Sitrep** package 
 
 The `tab_survey()` function from **sitrep** is a wrapper for **srvyr**, allowing 
 you to create weighted tables with minimal coding. It also allows you to calculate
 weighted proportions for categorical variables. 
 
-```{r sitrep_props}
+```{r eval = F, sitrep_props}
 
 ## using the survey design object
 survey_design %>% 
   ## pass the names of variables of interest unquoted
-  tab_survey(arrived, left, died, education_level,
-             deff = TRUE,   # calculate the design effect
-             pretty = TRUE  # merge the proportion and 95%CI
-             )
+  tab_survey(
+       "arrived", 
+       "left", 
+       "died", 
+       "education_level",
+       deff = TRUE,   # calculate the design effect
+       pretty = TRUE  # merge the proportion and 95%CI
+       )
 
 ```
 
-
+```{r, echo = F, warning = F, message=FALSE}
+import(here("data", "surveys", "tab_survey_output.rds"))
+```
 
 ### **Gtsummary** package
 
@@ -1037,7 +1041,7 @@ cbind(
 
 ### **Srvyr** package 
 
-```{r srvyr_ratio}
+```{r srvyr_ratio, warning=FALSE, message=F}
 
 survey_design %>% 
   ## survey ratio used to account for observation time 

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