The package is available from CRAN and can be downloaded with
First a little background. The Gapminder Foundation was created by Ola Rosling, Anna Rosling Rönnlund and Hans Rosling to promote “sustainable global development and achievement of the United Nations Millennium Development Goals by increased use and understanding of statistics and other information about social, economic and environmental development at local, national and global levels.” (quote straight from Wikipedia)
The package includes a dataset with various socioeconomic factors. The data has been studied far and wide and serves as a great starting point for data wrangling and visualization. Both for your own #rstats journey but also if you are planning on teaching others. gapminder is a great starting dataset with a low barrier to entry for understanding, but a high ceiling for insights!
We can take a look at the dataset by loading the package and simply calling
library(gapminder) head(gapminder) ## # A tibble: 6 x 6 ## country continent year lifeExp pop gdpPercap ## <fct> <fct> <int> <dbl> <int> <dbl> ## 1 Afghanistan Asia 1952 28.8 8425333 779. ## 2 Afghanistan Asia 1957 30.3 9240934 821. ## 3 Afghanistan Asia 1962 32.0 10267083 853. ## 4 Afghanistan Asia 1967 34.0 11537966 836. ## 5 Afghanistan Asia 1972 36.1 13079460 740. ## 6 Afghanistan Asia 1977 38.4 14880372 786.
We have information about life expectancy(lifeExp), population(pop) and Per-capita Gross domestic product(gdpPercap) for each country with a 5-year timestep. It is important to note that the package isn’t getting updated with newer data. So if you need these statistics for reasons other then teaching and examples people use other data sources.