README.md

statistics-coded

Resources for reproducing the outputs of Eurostat Statistics Explained articles.

About

The code source files provided herein can be used to (re)produce some of the statistical results presented in Eurostat Statistics Explained articles. For some articles, the published figures can be directly generated using the open data disseminated on Eurostat online database by running the available interactive computing notebooks.

contributors
version	0.1
since	2019
license	EUPL

Quick start

Launch a notebook running both R and Python: with packages already installed to access Eurostat database!

Description

The notebooks are organised according to the thematic structure already adopted for the Statistics Explained articles:

• general/ for reproducing some of the Stastistics Explained articles on "General and regional statistics, EU policies",

• economy/ for "Economy and finance" articles,

• popul/ for "Population and social conditions" articles:

  • notebook on young people and social inclusion,
  • source code for income, consumption and wealth,
  • ...

• icts/ for "Industry and services" articles:

  • source code for structure of multinational enterprise groups in the EU,
  • ...

• agric/ for "Agriculture, forestry and fisheries" articles,

• external/ for "International trade" articles,

• transp/ for "Transport",

• envir/ for "Environment and energy" articles,

• science/ for "Science, technology and digital society" articles.

Tools and references

• Statistics Explained main page.
• How Open Are Official Statistics?.
• Luhmann S., Grazzini J., Ricciato F., Meszaros M., Giannakouris K., Museux J.-M. and Hahn M. (2019): Promoting reproducibility-by-design in statistical offices, in Proc. New Techniques and Technologies for Statistics, doi:10.5281/zenodo.3240198.
• Grazzini J., Museux J.-M. and Hahn M. (2018): Empowering and interacting with statistical produsers: A practical example with Eurostat data as a service, in Proc. Conference of European Statistics Stakeholders, doi:10.5281/zenodo.3240557.
• 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):385-392.
• BBC Visual and Data Journalism cookbook for R graphics.
• Package restatapi R to access open data from Eurostat via SDMX.
• Package eurostat R to access open data from Eurostat.
• Useful graphic tools galleries, in R and Python.