Data Visualization - histogram - unpack aes() further

[jennamotto1]

In histograms, you hammer home to use column names in aes, but I think you could (/should) expand further what happens if you don't use aes(), i.e. putting color = "gray" (not a column) will just set the outline color to gray (and can override if color = column inside an aes function).

I don't think this addition is necessary, here's what I see as pros/cons:

• Pros: unpack stuff you didn't explain; give students more control over what plots look like
• Cons: could confuse students if you want their main takeaway to be argument = column

Screenshot for specific sections (circled in blue).

• In top paragraph, you use arguments that change the viz column-agnostically,
• ...though in the note at the bottom you say always use columns for aesthetics (which is true for aes aesthetics, but not for all aesthetics generally)

[jennamotto1]

Found it! You explain the functionality I'm looking for in a large, yellow note at the bottom of section 6.4.2 - Smoothed trend curves / lines.

Might be worthwhile to copy from there or save time and throw it in a footnote (I'm picturing something like "Wondering about what happens when you set color in a different layer? WAFO")