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Gapminder data, minus the mess.
Gapminder is a goldmine of global development data — life expectancy, income, CO₂ emissions, literacy rates, and hundreds more indicators spanning centuries. The catch? Every sheet looks like this:
life expectancy years | 1800 | 1801 | 1802 | ...
----------------------|------|------|------|----
Afghanistan | 28.2 | 28.2 | 28.2 | ...
Albania | 35.4 | 35.4 | 35.4 | ...
...
Countries as rows, years as columns, the indicator name hiding in cell A1. Great for a spreadsheet. Terrible for R.
tidygapminder fixes that in one function call.
# From CRAN
install.packages("tidygapminder")
# Development version
pak::pak("ebedthan/tidygapminder")
tidy_index(): one
file at a timePoint it at a Gapminder .csv, .xlsx, or
.xls file and get back a clean tibble:
library(tidygapminder)
csv_path <- system.file("extdata/life_expectancy_years.csv", package = "tidygapminder")
tidy_index(csv_path)
Three columns: country, year, and the
indicator, ready to filter, plot, or model.
tidy_bunch(): a
whole folder at onceDownloaded ten indicators? No problem. Point
tidy_bunch() at the folder:
dir_path <- system.file("extdata", package = "tidygapminder")
# Returns a named list of tibbles, one per file
result <- tidy_bunch(dir_path)
names(result)
Want everything in one data frame joined by country and
year?
tidy_bunch(dir_path, combine = TRUE)
readxl and tibble)vignette("tidygapminder")These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.