Adding size and color to a plot
In the last exercise, you created a scatter plot communicating information about each country's population, life expectancy, and continent. Now you'll use the size of the points to communicate even more.
This exercise is part of the course
Introduction to the Tidyverse
Exercise instructions
- Modify the scatter plot so that the size of the points represents each country's GDP per capita (
gdpPercap).
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
library(gapminder)
library(dplyr)
library(ggplot2)
gapminder_1952 <- gapminder %>%
filter(year == 1952)
# Add the size aesthetic to represent a country's gdpPercap
ggplot(gapminder_1952, aes(x = pop, y = lifeExp, color = continent)) +
geom_point() +
scale_x_log10()