Your first beeswarm

The following code makes a simple beeswarm plot for you of the gender speeding data, similar to what we saw in the last lesson.

You will notice that it doesn't look fantastic due to the stacking of the points causing overlap between the two genders' spreads.

Fix up this plot by reducing the size of the points using the cex argument to 0.5 and setting an opacity value for the points as to make the plots a little less harsh and emphasize the individual points.

In addition, add a transparent boxplot over the points to provide basic summary statistics as well.

This exercise is part of the course

Visualization Best Practices in R

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Exercise instructions

Reduce size of points by setting cex = 0.5 in the beeswarm geometry.
Set the alpha of the points to 0.8 .
Add a transparent boxplot on top of the beeswarm.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Load library for making beeswarm plots
library(ggbeeswarm)

md_speeding %>% 
    filter(vehicle_color == 'RED') %>%
    ggplot(aes(x = gender, y = speed)) + 
    # change point size to 0.5 and alpha to 0.8
    geom_beeswarm(___) +
    # add a transparent boxplot on top of points
    ___

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