| Student's name | SCIPER |
|---|---|
| Chritin Mathurin Raphaël | 288065 |
| Schwabedal Georg Tilman Peter | 328434 |
| Gafsi Amene | 345583 |
📄 Our final report can be found here.
🎥 Our final screencast can be found here.
🌐 Our final website can be accessed here.
Our project explores the intersection of European football and data visualization. Using historical match data and transfer records, we’ve built an interactive platform that allows users to explore how clubs perform, spend, and evolve over time.
📊 This website presents a data-driven exploration of professional European football from 2008 to 2016. Our interactive website visualizes team performances, transfer patterns, and financial dynamics using geospatial and temporal data.
This website is designed for a wide audience:
- ⚽ Football enthusiasts interested in exploring how their favorite clubs evolved.
- 📈 Analysts and scouts seeking patterns in transfer spending and squad development.
- 🎓 Researchers and students studying the intersection of sports, economics, and data visualization.
Our website can be easily accessed at:
https://com-480-data-visualization.github.io/Dateam/
If you want to run the website on your local machine, follow these steps:
- 📥 Clone the repository
git clone https://github.com/com-480-data-visualization/Dateam.git
- 📂 Navigate to the web directory
cd Dateam/web ▶️ Start the development servernpm i npm run build npm run start
- 🌍 Open the website in your browser
Once the server is running, open your browser and go to:
http://localhost:8081
For more details regarding development mode and deployment, check /web/README.md.
Simply install the requirements from requirements.txt and run the notebooks located in ./src/ depending on your needs.
-
Mathien, “European Soccer Database”, 2017.
Dataset Link -
Slehkyi, “Football transfers 2000-2018”, 2018.
Dataset Link
Milestone 1 can be found here : Milestone 1
Milestone 2 can be found here : Milestone 2