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dlab-berkeley / R-Data-Visualization-Legacy

D-Lab's 3 hour introduction to data visualization with R. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more using ggplot2 and cowplot.
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Introduce kernel density plots via ggplot #12

Closed pssachdeva closed 3 years ago

pssachdeva commented 3 years ago

I don't think it's necessary to introduce KDEs via base R. The base R section should be somewhat limited so that we can get to ggplot as soon as possible. We should introduce geom_density, instead.

asteves commented 3 years ago

@pssachdeva I don't see anything in this repo about KDEs. Are you suggesting that they be included in the script?

pssachdeva commented 3 years ago

Sorry, they were already introduced in the base R section. I removed that but didn't add in a portion in the ggplot section. We can add it back in. I just hesitated to do so since the lesson is already pretty full.

asteves commented 3 years ago

Gotcha. We could just choose to be opinionated and reject base graphics entirely. All of the challenges are ggplot2.