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.

Deze oefening maakt deel uit van de cursus

Visualization Best Practices in R

Cursus bekijken

Oefeninstructies

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'.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# 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')

Code bewerken en uitvoeren