4.18 Facetting (1)

• Small multiples: Display a plot across values/categories of another variable
• Aim of facetting: Increase density while keeping readability
• Types of facetting: Grid and wrapped (Show Figure 14.1)
  • Q: According to which variable does Figure 4.8 split the data? (note the ~ in facet_wrap(~variable))

ggplot(data %>% filter(followers_count<50000), # Filter!
       aes(x = account_age_years, 
           y = followers_count, color = party)) + 
      geom_point() + 
      facet_wrap(~female)

Figure 4.8: Facetting according to the party variable