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tidygapminder

R-CMD-check test-coverage codecov CRAN status CRAN downloads Project Status: Active


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.

Installation

# From CRAN
install.packages("tidygapminder")

# Development version
pak::pak("ebedthan/tidygapminder")

Two functions. That’s it.

tidy_index(): one file at a time

Point 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 once

Downloaded 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)

Why tidygapminder?

Getting help

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.