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Source  : 626c366
Branch  : main
Author  : Jia Qi <[email protected]>
Time    : 2025-02-13 11:56:40 +0000
Message : Merge pull request #113 from LibraryCarpentry/data-vis-aes-global-local-callout

adding callout about aes global and local mappings

Author: actions-user

04-data-viz-ggplot.md

@@ -127,6 +127,27 @@ ggplot(data = <DATA>, mapping = aes(<MAPPINGS>)) +  <GEOM_FUNCTION>()
 - use the `ggplot()` function and bind the plot to a specific data frame using
   the `data` argument
 
+::::::::::::::::::::::::::::::::::::::::::::; callout
+
+**Note on Aesthetic Mappings:**  
+In our basic template the `aes()` function is used inside `ggplot()`. 
+
+```r
+ggplot(data = <DATA>, mapping = aes(<MAPPINGS>)) + <GEOM_FUNCTION>()
+```
+
+This sets **global** aesthetics that apply to all layers you add later, such as, geoms and scales. You might sometimes see the aesthetics defined inside a specific geom function like so:
+
+```r
+ggplot(data = booksPlot) +
+  geom_histogram(aes(x = tot_chkout), binwidth = 10) +
+  scale_y_log10()
+```
+
+In this case, the aesthetic mapping is **local** to `geom_histogram()`. This approach lets you specify or override settings for that particular layer without affecting others. In short, using `aes()` globally means every layer inherits the same settings, while using it locally gives you the flexibility to tailor individual layers as needed.
+
+::::::::::
+
 When you run the `ggplot()` function, it plots directly to the Plots tab in the
 Navigation Pane (lower right). Alternatively, you can assign a plot to an R
 object, then call `print()`to view the plot in the Navigation Pane.

fig/04-data-viz-ggplot-rendered-boxplot-exercise-subcollection-1.png

@@ -7,7 +7,7 @@
 "episodes/01-intro-to-r.Rmd" "eafb4aac57049aedb274d3ee92f88dfe" "site/built/01-intro-to-r.md" "2025-02-13"
 "episodes/02-starting-with-data.Rmd" "f98fd114537492d825f2973be00351ce" "site/built/02-starting-with-data.md" "2025-02-05"
 "episodes/03-data-cleaning-and-transformation.Rmd" "171cefcc18f972c2739cb3710fd241bd" "site/built/03-data-cleaning-and-transformation.md" "2025-02-05"
-"episodes/04-data-viz-ggplot.Rmd" "bbfac2f878e13a35dfbdef9ad3025521" "site/built/04-data-viz-ggplot.md" "2025-02-05"
+"episodes/04-data-viz-ggplot.Rmd" "5348e02fad9c23d88fbc9c892f00f6ed" "site/built/04-data-viz-ggplot.md" "2025-02-13"
 "instructors/instructor-notes.md" "a59fd3b94c07c3fe3218c054a0f03277" "site/built/instructor-notes.md" "2025-02-05"
 "learners/discuss.md" "2758e2e5abd231d82d25c6453d8abbc6" "site/built/discuss.md" "2025-02-05"
 "learners/reference.md" "dda49515f46cca6a1a8e7e195e66e73c" "site/built/reference.md" "2025-02-13"