Faceting to show all colors

As we may expect, there doesn't appear to be too big of a difference in genders for red cars. What happens if we instead facet to look at this comparison across all the colors?

It's not uncommon when comparing distributions to want to look at a large number of conditions. When doing this faceting, we're looking at all 10k points.

Cet exercice fait partie du cours

Visualization Best Practices in R

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Instructions

Remove filter() for red cars.
Add a facet_wrap() by vehicle_color.
Change title to 'Speed of different car colors, separated by gender of driver'.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# remove color filter
md_speeding %>% filter(vehicle_color == 'RED') %>%
    ggplot(aes(x = gender, y = speed)) + 
    geom_jitter(alpha = 0.3, color = 'steelblue') +
    geom_boxplot(alpha = 0) +
    # add a facet_wrap by vehicle_color
    ___ +
    # change title to reflect new faceting
    labs(title = 'Speed of red cars by gender of driver')

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