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R tools to access open data fromEurostat. Data search, download,manipulation and visualization.
Install stable version from CRAN:
install.packages("eurostat")Alternatively, install development version from GitHub:
# Install from GitHublibrary(devtools)devtools::install_github("ropengov/eurostat")
Development version can be also installed using ther-universe:
# Enable this universeoptions(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 fromEurostat. Searching for data is one way, if you know what to look for.
# Load the packagelibrary(eurostat)# Perform a simple search and print a tablepassengers<- 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 theTutorialand other resources at thepackagehomepage for more information andexamples.
It is recommended to install thegiscoR package(https://dieghernan.github.io/giscoR/). This is another API packagethat provides R tools for Eurostat geographic data to support geospatialanalysis and visualization.
Contributions are very welcome:
- Use issue tracker forfeedback and bug reports.
- Send pull requests
- Star us on the Github page
- Join the discussion inGitter
Kindly cite this package by citing the following R Journal article:
Lahti L., Huovari J., Kainu M., andBiecek P. (2017). Retrieval and analysis of Eurostat open data with theeurostat 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 versionused:
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 allcontributors,including Daniel Antal, Joona Lehtomäki, Francois Briatte, and OliverReiter, and for theEurostat open dataportal! This project is part ofrOpenGov.
This project has received funding from the European Union under grant No 101095295 (OpenMUSE), the FIN-CLARIAH research infrastructure and the Strategic Research Council's YOUNG program by the Research Council of Finland (decisions 345630, 358720, 367756, 352604).
This package is in no way officially related to or endorsed by Eurostat.
When using data retrieved from Eurostat database in your work, pleaseindicate that the data source is Eurostat. If your re-use involves somekind of modification to data or text, please state this clearly to theend user. See Eurostat policy oncopyright and free re-use ofdata for moredetailed information and certain exceptions.
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