https://github.com/jvalue/jayvee-example-eu-election-2024
https://github.com/jvalue/jayvee-example-eu-election-2024
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/jvalue/jayvee-example-eu-election-2024
- Owner: jvalue
- Created: 2024-06-28T13:03:04.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-20T14:10:19.000Z (almost 2 years ago)
- Last Synced: 2024-07-21T15:33:08.055Z (almost 2 years ago)
- Language: Jupyter Notebook
- Homepage: https://jvalue.com/
- Size: 230 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Exploring Bavarian results of the EU election 2024 open data with Jayvee
The EU publishes large amounts of open data. They re-use their own open data to allow citizens to gain insights into the EU elections 2024 (see, for example, [these news](https://data.europa.eu/en/news-events/news/eu-election-results-are-here-learn-how-votes-are-distributed)).
Based on published open data, citizens can run their own analysis. Sadly, the published data is not easy to use. With Jayvee, we can easily model a data pipeline that allows us to extract, clean and transform data and finally save it in a SQLite database for further use. You can find more information about Jayvee at [https://jvalue.com/](https://jvalue.com/) and on GitHub at [https://github.com/jvalue/jayvee](https://github.com/jvalue/jayvee), here we use version 0.5.0.
You can find an example analysis in the [report.ipynb](report.ipynb). The Jayvee model used can be seen in [eu-elections.jv](eu-elections.jv).
The data source is published by the Bundeswahlleiterin on their website: https://www.bundeswahlleiterin.de/europawahlen/2024/ergebnisse/opendata.html as © Die Bundeswahlleiterin, Wiesbaden 2024 under the license Datenlizenz Deutschland – Namensnennung – Version 2.0 (https://www.govdata.de/dl-de/by-2-0).