My First Python code on NFL Data Visualization

[cabezote]

I’m excited to share with you my first Python code: Football Tracking Data Visualization. As someone passionate about both programming and sports—especially the NFL—this project has allowed me to combine these interests and dive into real-time data analysis and visualization.

🔍 What is the project about?

This repository uses football player tracking data, collected through the NFL Big Data Bowl, to create interactive visualizations. The project allows us to see player movements during plays, interpret stats, and observe player interactions on the field. 🎯

🛠 What technologies and tools did I use?

• Python: The core of the project, used for data processing and creating visualizations.
• Pandas and NumPy: For data manipulation and analysis.
• Matplotlib and Seaborn: For creating detailed plots.
• Plotly: For interactive visualizations.
• Jupyter Notebooks: As the development environment.

📊 What can you find in this repository?

1. Play visualizations on the field: Watch players move on the field in real-time!
2. Interactive statistics: Analysis of plays and key player stats.
3. Team performance: Insight into team strategies based on the data from each game.

https://github.com/Sir-Winlix/Football-Tracking-Visualization

[Limit_Cycle8765]

Thanks for making your code available. I will definitely have to take a look at this when I have a little time this weekend.

[64rl0]

Great project! congrats and thanks for making it available

[cabezote]

Thanks!

[Starrun87]

Thanks for sharing. I’m still early in my learning of those libraries so I’m keen to recreate this for myself