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README.md

statistics-coded

Resources for reproducing some of the visualisations in Eurostat Statistics Explained articles.

The material provided herein can be used to (re)produce some of the statistical outputs (tables and figures) presented in Eurostat Statistics Explained articles. it is used to recreate the figures published in the articles and are made available in the form of either code source files or computing notebooks. The latter will allow you to fetch the open data disseminated on Eurostat online database and interact with it dynamically. See related documentation and publications below.

General and regional statistics / EU policies Economy and finance Population and social conditions
Industry and services Agriculture, forestry and fisheries International trade
Transport Environment and energy Science, technology and digital society

Quick launch

  • Run the notebooks (both R and Python) in binder. We provide the interactive environments with already installed packages to query and access Eurostat database for notebook resources below (current build with commit 1179b50):
  • Run the notebooks in Google colab (you will need a Google login): launch Open In Colab (try for instance this notebook).

Description

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

About

Want to contribute? For instance, implement a Statistics Explained article you find very interesting in your favourite language? Please submit your pull requests directly to the master branch!

Found a mistake in the code? Please, report it to us in the issues section.

contributors
version 0.1
status since 2019
license EUPL

Resources

References

About

Catalogue of resources (R/Python/SQL/SAS/Stata/...) to reproduce the results of Eurostat Statistics Explained articles

Topics

Resources