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eurostat R package

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 hierarchy
Air passenger transport enps_avia_pa dataset 13.03.2023 13.03.2023 2005 2021 406 6
Modal split of air, sea and inland passenger transport tran_hv_ms_psmod dataset 29.06.2023 29.06.2023 2008 2021 2100 4
Modal split of inland passenger transport tran_hv_psmod dataset 29.06.2023 29.06.2023 1990 2021 4219 4
Volume of passenger transport relative to GDP tran_hv_pstra dataset 11.08.2023 29.06.2023 1990 2021 969 4
Maritime passenger transport performed in the Exclusive Economic Zone (EEZ) of the countries mar_tp_pa dataset 21.02.2023 21.02.2023 2005 2021 1752 4
Air passenger transport by reporting country avia_paoc dataset 04.12.2023 28.11.2023 1993 2023-Q3 2482969 5

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 by citing the following R Journal article:

Lahti L., Huovari J., Kainu M., and Biecek P. (2017). Retrieval and analysis of Eurostat open data with the eurostat package. The R Journal 9(1), pp. 385-392. doi: 10.32614/RJ-2017-019.

In addition, please provide a citation to the specific software version used:

Lahti, L., Huovari J., Kainu M., Biecek P., Hernangomez D., Antal D., and Kantanen P. (2023). eurostat: Tools for Eurostat Open Data [Computer software]. R package version 4.0.0.9003. https://github.com/rOpenGov/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.

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.