Awesome
<!-- README.md is generated from README.Rmd. Please edit that file -->gapminder
<!-- badges: start -->
This repo is a data package with an excerpt from the
Gapminder data. The main object in
this package is the gapminder data frame or “tibble”. There are other
goodies, such as the data in tab delimited form, a larger unfiltered
dataset, premade color schemes for the countries and continents, and ISO
3166-1 country codes. The primary use case is for teaching and writing
examples.
Installation
Install gapminder from CRAN:
install.packages("gapminder")
Quick look
Here we do a bit of data aggregation and plotting with the gapminder
data:
library(gapminder)
library(dplyr)
library(ggplot2)
aggregate(lifeExp ~ continent, gapminder, median)
#> continent lifeExp
#> 1 Africa 47.7920
#> 2 Americas 67.0480
#> 3 Asia 61.7915
#> 4 Europe 72.2410
#> 5 Oceania 73.6650
gapminder %>%
filter(year == 2007) %>%
group_by(continent) %>%
summarise(lifeExp = median(lifeExp))
#> # A tibble: 5 × 2
#> continent lifeExp
#> <fct> <dbl>
#> 1 Africa 52.9
#> 2 Americas 72.9
#> 3 Asia 72.4
#> 4 Europe 78.6
#> 5 Oceania 80.7
ggplot(gapminder, aes(x = continent, y = lifeExp)) +
geom_boxplot(outlier.colour = "hotpink") +
geom_jitter(position = position_jitter(width = 0.1, height = 0), alpha = 1 / 4)
For more, see the Get started vignette.