Getting Started with tidycountries

Welcome to the tidycountries package! This package provides a comprehensive and user-friendly interface for accessing, manipulating, and analyzing country-level data from around the world. It allows users to retrieve detailed information on countries, including names, regions, subregions, continents, populations, currencies, calling codes, and more, all in a tidy data format. The package is designed to work seamlessly within the tidyverse ecosystem, making it easy to filter, arrange, and visualize country-level data in R.

Why tidycountries:

The world is a diverse and complex place, and having reliable and accessible country-level data is crucial for many analyses. Whether you’re working on a global research project, developing a visualization, or simply need to query country data for your application, tidycountries aims to simplify these tasks. By providing country data in a tidy format compatible with the tidyverse ecosystem, tidycountries allows users to seamlessly integrate and manipulate country data.

Installation

You can install the tidycountries package from CRAN using the following command:

install.packages("tidycountries")

# you can also install the package directly using `devtools`
devtools::install_github("denironyx/tidycountries")

Loading the Package

Once installed, you need to load the package to use its function

library(tidyverse)
library(tidycountries)

Using tidycountries

Here is a brief overview of some of the key functions in tidycountries

get_country_info() - Retrieve information about a specific country based on it’s country code or common name

# Get information about Nigeria
nigeria_info <- get_country_info("Nigeria")
print(nigeria_info)

## get information for all countries
all_countries <- get_country_info("all")
print(head(all_countries))