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.
This exercise is part of the course
Visualization Best Practices in R
Exercise instructions
- Remove
filter()for red cars. - Add a
facet_wrap()byvehicle_color. - Change title to
'Speed of different car colors, separated by gender of driver'.
Hands-on interactive exercise
Have a go at this exercise by completing this sample 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')