Updates to good graphics

part-wrangling/02b-graphics.qmd

@@ -514,7 +514,7 @@ I don't recommend you try to become proficient in all of them.
 Before we delve into the grammar of graphics, let's motivate the philosophy using a simple task.
 Suppose we want to create a pie chart using some data. 
 Pie charts are terrible, and we've known it for 100 years [@croxtonBarChartsCircle1927a], so in the interests of showing that we know that pie charts are awful, we'll also create a stacked bar chart, which is the most commonly promoted alternative to a pie chart. 
-We'll talk about what makes pie charts terrible at the end of this section in [Creating Good charts](@sec-good-graphics).
+We'll talk about what makes pie charts terrible in @sec-good-graphics.
 
 
 ::: {.callout-caution collapse=true}

part-wrangling/02c-good-graphics.qmd

@@ -2,8 +2,9 @@
 
 ##  {{< fa bullseye >}} Objectives
 
-- Evaluate existing charts and develop new versions that improve accessibility and readability
-
+- Understand what features make graphics effective
+- Evaluate existing charts for accessibility and readability
+- Make improvements to charts to increase comprehension and accessibility
 
 A chart is good if it allows the user to draw useful conclusions that are supported by data. Obviously, this definition depends on the purpose of the chart - a simple EDA chart is going to have a different purpose than a chart showing e.g. the predicted path of a hurricane, which people will use to make decisions about whether or not to evacuate.
 
@@ -177,9 +178,14 @@ This can result in odd things, like the checkerboard and shadow shown in @fig-ch
     - If you are using a color gradient, use a monochromatic color scheme where possible. This is perceived as light -\> dark by colorblind people, so it will be correctly perceived no matter what color you use.
     - If you have a bidirectional scale (e.g. showing positive and negative values), the safest scheme to use is purple - white - orange. In any color scale that is multi-hue, it is important to transition through white, instead of from one color to another directly.
 - Be conscious of what certain colors "mean"
-    - Leveraging common associations can make it easier to read a color scale and remember what it stands for (e.g. blue for cold, orange/red for hot is a natural scale, red = Republican and blue = Democrat in the US, white -\> blue gradients for showing rainfall totals)
+    - Leveraging common associations can make it easier to read a color scale and remember what it stands for
+        - blue for cold, orange/red for hot is a natural scale
+        - red = Republican and blue = Democrat in the US (since ~1980)
+        - white -\> blue gradients for showing rainfall totals
     - Some colors can can provoke emotional responses that may not be desirable.[^10-graphics-2]
-    - It is also important to be conscious of the social baggage that certain color schemes may have - the pink/blue color scheme often used to denote gender can be unnecessarily polarizing, and it may be easier to use a colder color (blue or purple) for men and a warmer color (yellow, orange, lighter green) for women[^10-graphics-3].
+    - Consider the social baggage that certain color schemes may have
+        - pink/blue color scheme often used for gender may be polarizing
+        - Consider using a cooler color (blue or purple) for men and a warmer color (yellow, orange, lighter green) for women[^10-graphics-3].
 - There are packages such as `RColorBrewer` and `dichromat` that have color palettes which are aesthetically pleasing, and, in many cases, colorblind friendly (`dichromat` is better for that than `RColorBrewer`). You can also take a look at other [ways to find nice color palettes](https://lisacharlotterost.de/2016/04/22/Colors-for-DataVis/).
 
 [^10-graphics-2]: When the COVID-19 outbreak started, many maps were using white-to-red gradients to show case counts and/or deaths. [The emotional association between red and blood, danger, and death may have caused people to become more frightened than what was reasonable given the available information.](https://www.esri.com/arcgis-blog/products/product/mapping/mapping-coronavirus-responsibly/)