fix documentation typos

README.Rmd

@@ -135,7 +135,7 @@ Explore more examples of `{unhcrthemes}` in action on the [package vignette](htt
 - [`{unhcrdown}`](https://github.com/unhcr-dataviz/unhcrdown): UNHCR branded templates for [R Markdown](https://rmarkdown.rstudio.com/).
 - [`quarto-revealjs-unhcr`](https://github.com/unhcr-dataviz/quarto-revealjs-unhcr): A [Quarto](https://quarto.org/) extension to create [UNHCR branded](https://www.unhcr.org/brand) `reveal.js` presentations.
 - [`quarto-html-unhcr`](https://github.com/unhcr-dataviz/quarto-html-unhcr): A [Quarto](https://quarto.org/) extension to create [UNHCR branded](https://www.unhcr.org/brand) `HTML` document.
-- [Data Visualization Platform](https://dataviz.unhcr.org/): A collection of recommendations on [chart type](https://dataviz.unhcr.org/chart_gallery/) selection, [general dataviz design](https://dataviz.unhcr.org/general_guidance/), [tools and tutorials](https://dataviz.unhcr.org/tools/) and a showcase of some of the [data visualization products made by UNHCR](https://dataviz.unhcr.org/products/).
+- [Data Visualization Platform](https://dataviz.unhcr.org/): A collection of recommendations on selecting the best type of chart, general dataviz design, tools and tutorials and a selection of data visualization products made by UNHCR.
 
 ## Acknowledgements
 

README.md

@@ -164,12 +164,9 @@ Platform](https://dataviz.unhcr.org/tools/r/).
     A [Quarto](https://quarto.org/) extension to create [UNHCR
     branded](https://www.unhcr.org/brand) `HTML` document.
   - [Data Visualization Platform](https://dataviz.unhcr.org/): A
-    collection of recommendations on [chart
-    type](https://dataviz.unhcr.org/chart_gallery/) selection, [general
-    dataviz design](https://dataviz.unhcr.org/general_guidance/), [tools
-    and tutorials](https://dataviz.unhcr.org/tools/) and a showcase of
-    some of the [data visualization products made by
-    UNHCR](https://dataviz.unhcr.org/products/).
+    collection of recommendations on selecting the best type of chart,
+    general dataviz design, tools and tutorials and a selection of data
+    visualization products made by UNHCR.
 
 ## Acknowledgements
 

vignettes/articles/design-unhcr-charts.Rmd

@@ -137,7 +137,7 @@ ggplot(
 
 ### Grouped bar chart
 
-Let's compare the refugee population originated by UNHCR region in 2012 and 2022 with the help of grouped bar chart.
+Let’s compare the refugee population originating in each UNHCR region for both 2012 and 2022. We will use a grouped bar chart.
 
 **Preparing the data:**
 
@@ -235,7 +235,7 @@ ggplot(
 
 ### Stacked bar chart
 
-Let's make a stacked bar chart comparing the different population displaced across borders by the top 10 country of origin in 2022.
+Let’s make a stacked bar chart comparing the top 10 countries of origin for all people displaced across borders, by type, in 2022. 
 
 **Preparing the data:**
 
@@ -543,7 +543,7 @@ ggplot(
 
 ### Grouped column chart
 
-Let's compare the refugee population originated by UNHCR region of Africa in 2018-2022 with the help of grouped column chart.
+Let’s compare the 2018-2022 refugee population, originating in the three UNHCR regions in Africa. We will use a grouped column chart.
 
 **Preparing the data:**
 
@@ -807,7 +807,7 @@ ggplot(
 
 ### 100% stacked column chart
 
-Let's create a 100% stacked column chart of the last 10 years of total refugee population originated by Africa's region.
+Let’s create a 100% stacked column chart showing the total refugee population for the last 10 years, by the each of the three UNHCR regions in Africa.
 
 **Preparing the data:**