R tools to access open data from Eurostat. Data search, download, manipulation and visualization.
This fork follows the main rOpenGov repository with one crucial difference: dependency and functionalities related to sf package have been removed. This is to increase the package’s usefulness in systems where installing the sf package could cause issues.
This fork uses version number x.x.x.9000 to differentiate it from the main branch version.
# Install from GitHub
library(devtools)
devtools::install_github("pitkant/eurostat")
The package provides several different ways to get datasets from Eurostat. Searching for data is one way, if you know what to look for.
# Load the package
library(eurostat)
# Perform a simple search and print a table
passengers <- search_eurostat("passenger transport")
knitr::kable(head(passengers))
title | code | type | last update of data | last table structure change | data start | data end | values |
---|---|---|---|---|---|---|---|
Air passenger transport | enps_avia_pa | dataset | 16.04.2021 | NA | 2005 | 2020 | NA |
Volume of passenger transport relative to GDP | tran_hv_pstra | dataset | 01.09.2020 | 08.02.2021 | 1990 | 2018 | NA |
Modal split of passenger transport | tran_hv_psmod | dataset | 01.09.2020 | 08.02.2021 | 1990 | 2018 | NA |
Air passenger transport by reporting country | avia_paoc | dataset | 26.05.2021 | 26.05.2021 | 1993 | 2021Q1 | NA |
Air passenger transport by main airports in each reporting country | avia_paoa | dataset | 26.05.2021 | 07.05.2021 | 1993 | 2021Q1 | NA |
Air passenger transport between reporting countries | avia_paocc | dataset | 26.05.2021 | 26.05.2021 | 1993 | 2021Q1 | NA |
See the Tutorial and other resources at the package homepage for more information and examples.
It is recommended to install the giscoR
package
(https://dieghernan.github.io/giscoR/). This is another API package
that provides R tools for Eurostat geographic data to support geospatial
analysis and visualization.
Please make contributions, open issues and pull requests in the main branch: https://github.com/ropengov/eurostat/
Kindly cite this work as follows: Leo Lahti, Przemyslaw Biecek, Markus Kainu and Janne Huovari. Retrieval and analysis of Eurostat open data with the eurostat package. R Journal 9(1):385-392, 2017. R package version 3.7.5. URL: https://ropengov.github.io/eurostat/
We are grateful to all contributors, including Daniel Antal, Joona Lehtomäki, Francois Briatte, and Oliver Reiter, and for the Eurostat open data portal! This project is part of rOpenGov.
This package is in no way officially related to or endorsed by Eurostat.