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R tools to access open data from Eurostat. Data search, download, manipulation and visualization.

Installation and use

Install stable version from CRAN:

install.packages("eurostat")

Alternatively, install development version from GitHub:

# Install from GitHub
library(devtools)
devtools::install_github("ropengov/eurostat")

Development version can be also installed using the r-universe:

# Enable this universe
options(repos = c(
  ropengov = "https://ropengov.r-universe.dev",
  CRAN = "https://cloud.r-project.org"
))

install.packages("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 10.02.2022 10.02.2022 2005 2020 NA
Volume of passenger transport relative to GDP tran_hv_pstra dataset 07.07.2021 07.07.2021 1990 2019 NA
Modal split of passenger transport tran_hv_psmod dataset 07.07.2021 07.07.2021 1990 2019 NA
Air passenger transport by reporting country avia_paoc dataset 07.06.2022 07.06.2022 1993 2022Q1 NA
Air passenger transport by main airports in each reporting country avia_paoa dataset 07.06.2022 07.06.2022 1993 2022Q1 NA
Air passenger transport between reporting countries avia_paocc dataset 07.06.2022 07.06.2022 1993 2022Q1 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.

Contribute

Contributions are very welcome:

Acknowledgements

Kindly cite this package 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 3.7.11. DOI: 10.32614/RJ-2017-019. 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.

Disclaimer

This package is in no way officially related to or endorsed by Eurostat.

When using data retrieved from Eurostat database in your work, please indicate that the data source is Eurostat. If your re-use involves some kind of modification to data or text, please state this clearly to the end user. See Eurostat policy on copyright and free re-use of data for more detailed information and certain exceptions.