gapminder_2019: Gapminder data.
In m-clark/noiris: Data sets

Description Usage Format Details Source See Also Examples

A recent download of the Gapminder data on life expectancy, GDP per capita, Gini coefficient, and population by country.

1	gapminder_2019

The main data frame gapminder has 40,953 rows and 7 variables:

country: factor with 142 levels
continent: factor with 5 levels
year: ranges from 1800 to 2018
lifeExp: life expectancy at birth, in years
pop: population
gdpPercap: GDP per capita (US$, inflation-adjusted)
giniPercap: Gini coefficient of inequality

While the data goes back to 1800, most of it prior to a couple of decades ago is either filler or probably nonsense. See the gapminder package for a smaller version.

http://www.gapminder.org/data/

gapminder

library(noiris)
str(gapminder_2019)
gapminder_2019
summary(gapminder_2019)

if (require("dplyr")) {
gapminder_2019 %>%
  filter(year == 2007) %>%
  group_by(continent) %>%
  summarise(lifeExp = median(lifeExp))
}