The increasing availability of open statistical data resources is providing novel opportunities for research and citizen science. Efficient algorithmic tools are needed to realize the full potential of the new information resources. We introduce the eurostat R package that provides a collection of custom tools for the Eurostat open data service, including functions to query, download, manipulate, and visualize these data sets in a smooth, automated and reproducible manner. The online documentation provides detailed examples on the analysis of these spatio-temporal data collections. This work provides substantial improvements over the previously available tools, and has been extensively tested by an active user community. The eurostat R package contributes to the growing open source ecosystem dedicated to reproducible research in computational social science and digital humanities.
FAOSTAT, WDI, pxweb, osmar, eurostat, smarterpoland, rsdmx, datamart, quandl, pdfetch, classInt, httr, jsonlite, readr, sp, stringi, tibble, plotrix, maptools, rgdal, rgeos, scales, stringr, countrycode
Spatial, WebTechnologies, Graphics, NaturalLanguageProcessing, SpatioTemporal, TimeSeries
Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".
For attribution, please cite this work as
Lahti, et al., "The R Journal: Retrieval and Analysis of Eurostat Open Data with the eurostat Package", The R Journal, 2017
BibTeX citation
@article{RJ-2017-019,
author = {Lahti, Leo and Huovari, Janne and Kainu, Markus and Biecek, Przemysław},
title = {The R Journal: Retrieval and Analysis of Eurostat Open Data with the eurostat Package},
journal = {The R Journal},
year = {2017},
note = {https://doi.org/10.32614/RJ-2017-019},
doi = {10.32614/RJ-2017-019},
volume = {9},
issue = {1},
issn = {2073-4859},
pages = {385-392}
}