Summarizing by continent
You can group by any variable in your dataset to create a summary. Rather than comparing across time, you might be interested in comparing among continents. You'll want to do that within one year of the dataset: let's use 1957.
This exercise is part of the course
Introduction to the Tidyverse
Exercise instructions
- Filter the
gapminder
data for the year 1957. Then find the median life expectancy (lifeExp
) and maximum GDP per capita (gdpPercap
) within each continent, saving them intomedianLifeExp
andmaxGdpPercap
, respectively.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
library(gapminder)
library(dplyr)
# Find median life expectancy and maximum GDP per capita in each continent in 1957