R tools to access open data from Eurostat. Data search, download, manipulation and visualization.
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.
Contributions are very welcome:
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.
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.