Whole game feedback from O'Reilly (#1057)

* Redraw data science process diagrams

* Polishing the whole game

* Add reference to TMWR

* Respond to visualization feedback

* Minor changes

* Better integrate workflow-scripts chapter

* Minor getting help polishing

* Update investing in yourself links

* Redraw RStudio screenshots

* More scripts/projects polishing

Co-authored-by: Mine Cetinkaya-Rundel <cetinkaya.mine@gmail.com>

data-visualize.qmd

@@ -214,7 +214,7 @@ In hindsight, these cars were unlikely to be hybrids since they have large engin
 
 In the above example, we mapped `class` to the color aesthetic, but we could have mapped `class` to the size aesthetic in the same way.
 In this case, the exact size of each point would reveal its class affiliation.
-We get a *warning* here, because mapping an unordered variable (`class`) to an ordered aesthetic (`size`) is generally not a good idea.
+We get a *warning* here: mapping an unordered variable (`class`) to an ordered aesthetic (`size`) is generally not a good idea because it implies a ranking that does not in fact exist.
 
 ```{r}
 #| fig-alt: >
@@ -824,11 +824,16 @@ Other graphs, like bar charts, calculate new values to plot:
 -   boxplots compute a robust summary of the distribution and then display that summary as a specially formatted box.
 
 The algorithm used to calculate new values for a graph is called a **stat**, short for statistical transformation.
-The figure below describes how this process works with `geom_bar()`.
+@fig-vis-stat-bar shows how this process works with `geom_bar()`.
 
 ```{r}
+#| label: fig-vis-stat-bar
 #| echo: false
 #| out-width: "100%"
+#| fig-cap: >
+#|   When create a bar chart we first start with the raw data, then
+#|   aggregate it to count the number of observations in each bar,
+#|   and finally map those computed variables to plot aesthetics.
 #| fig-alt: >
 #|   A figure demonstrating three steps of creating a bar chart. 
 #|   Step 1. geom_bar() begins with the diamonds data set. Step 2. geom_bar() 
@@ -1149,7 +1154,8 @@ There are three other coordinate systems that are occasionally helpful.
     ```
 
 -   `coord_quickmap()` sets the aspect ratio correctly for maps.
-    This is very important if you're plotting spatial data with ggplot2 (which unfortunately we don't have the space to cover in this book).
+    This is very important if you're plotting spatial data with ggplot2.
+    We don't have the space to discuss maps in this book, but you can learn more in the [Maps chapter](https://ggplot2-book.org/maps.html) of *ggplot2: Elegant graphics for data analysis*.
 
     ```{r}
     #| layout-ncol: 2