Faceting with free y-axis
In the previous plot, all six graphs had the same axis limits. This made the changes over time hard to examine for plots with relatively little change.
Instead, you may want to let the plot choose a different y-axis for each facet.
This exercise is part of the course
Case Study: Exploratory Data Analysis in R
Exercise instructions
Change the faceted plot so that the y-axis is freely chosen for each facet, rather than being the same for all six.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Vector of six countries to examine
countries <- c("United States", "United Kingdom",
"France", "Japan", "Brazil", "India")
# Filtered by_year_country: filtered_6_countries
filtered_6_countries <- by_year_country %>%
filter(country %in% countries)
# Line plot of % yes over time faceted by country
ggplot(filtered_6_countries, aes(year, percent_yes)) +
geom_line() +
facet_wrap(~ country)