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Give a bit more direction

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mine-cetinkaya-rundel 2023-02-21 08:54:08 -05:00
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@ -490,8 +490,9 @@ ggplot(mpg, aes(x = hwy, y = fct_reorder(class, hwy, median))) +
What do you learn?
How do you interpret the plots?
5. Compare and contrast `geom_violin()` with a faceted `geom_histogram()`, or a colored `geom_freqpoly()`.
What are the pros and cons of each method?
5. Create a visualization of diamond prices vs. a categorical variable from the `diamonds` dataset using `geom_violin()`, then a faceted `geom_histogram()`, and then a colored `geom_freqpoly()`.
Compare and contrast the three plots.
What are the pros and cons of each method of visualizing the distribution of a numerical variable based on the levels of a categorical variable?
6. If you have a small dataset, it's sometimes useful to use `geom_jitter()` to see the relationship between a continuous and categorical variable.
The ggbeeswarm package provides a number of methods similar to `geom_jitter()`.