https://github.com/monusinghsheoran/f1-2023-performance-insights
F1-2023-Performance-Insights
https://github.com/monusinghsheoran/f1-2023-performance-insights
analysis data-science data-visualization datasets-csv formula1 jupyter-notebook library matplotlib numpy pandas python racing seaborn
Last synced: 6 months ago
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F1-2023-Performance-Insights
- Host: GitHub
- URL: https://github.com/monusinghsheoran/f1-2023-performance-insights
- Owner: monusinghsheoran
- Created: 2024-10-20T09:52:00.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2024-10-21T02:35:07.000Z (12 months ago)
- Last Synced: 2025-04-06T06:45:50.922Z (6 months ago)
- Topics: analysis, data-science, data-visualization, datasets-csv, formula1, jupyter-notebook, library, matplotlib, numpy, pandas, python, racing, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 24.9 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
## Welcome to the Formula 1 Data Analysis Repository! 🏎️
Welcome, F1 fans and data enthusiasts alike! You’ve arrived at a repository dedicated to the exhilarating world of the Formula 1 World Championship. As one of the most prestigious motorsport disciplines, F1 captivates millions of viewers globally—whether it’s live at the track, on TV, or through online streaming.
### Why This Repository? 🏁
As a passionate data science enthusiast and long-time F1 aficionado with over two decades of following the sport, I aim to combine my two great loves here: data and racing. This repository is designed to provide comprehensive datasets and enable in-depth analysis of drivers and teams, focusing on their race results and other critical sessions throughout the seasons.
### Data Sources 📊
Transparency and credibility are vital, so all data in this repository comes from reputable sources:
- **Formula 1 Official Website:** The primary source for all race results and statistics.
- **EA & Codemasters F1 Games:** Used for driver ratings and additional insights.
### What's Inside? 📂
- **Datasets:** Detailed race results, driver stats, and team performances.
- **Analysis Scripts:** Python scripts for analyzing data, creating visualizations, and extracting insights.
- **Visualizations:** Compelling graphs and charts to make sense of the vast amounts of data.
### How to Use This Repository 📘
Feel free to explore the datasets and use the analysis scripts provided. If you’re also a data scientist or F1 fan looking to delve into the numbers, this is your playground. Contributions are more than welcome!
### Let's Connect! 🌐
If you have any questions, suggestions, or just want to chat about F1 and data science, don’t hesitate to reach out.
Enjoy your data-driven journey through the world of Formula 1!