Frustrated by the lack of up-to-date information available on the European Parliament elections of 2019, we decided to create ee_stats.
ee_stats is a website using data science tools to analyse the European Parliament elections in 2019.
Our first project:
We wrote a software that provides an up-to-date projection of the seat distribution in the European parliament – both with and without the UK. This projection enables you to gauge the current political mood in the EU and is updated weekly.
Our future projects:
We are currently working on a text mining software, capable of analysing 2000~ daily news articles from Europe’s 25 biggest newspapers in the 6 most influential EU countries. This feature is currently still in beta (see preview here).
Our seat projection data on the European elections is free to use. It has previously been used by CNBC, Frankfurter Allgemeine Zeitung, Die Tageszeitung (taz), n-tv and other public and private organisations.
You can download it from our hyperlinked google sheets:
1. Post-Brexit scenario (without UK): aggregate data and raw data per member state
2. Scenario with the UK: aggregate data and raw data per member state
If you use our data, please reference us.
We are mostly using the programming language R for data collection, cleaning, analysis and visualization (using R Shiny). For earlier visualisations we used TableauPublic a free software for creating interactive charts and maps.
By Camille Borrett and Moritz Laurer recent postgraduates in European affairs from SciencesPo Paris, Free University of Berlin and University of East Anglia, currently working in Brussels. Please email us if you have questions, feedback, criticism or if you have ideas for cooperation.