F1 Analysis: Lewis Hamilton's 2020 Season

This project uses the FastF1 Python library to analyse Lewis Hamilton's race wins during the 2020 Formula 1 season. The analysis includes:

• Automated data loading for all 2020 races
• Identification of all Hamilton's race wins
• Visualisations of win distribution, win streaks, and lap time comparisons
• Statistical breakdowns and championship progression
• Technical and strategic insights into Hamilton's performance

How to Use

1. Install dependencies (see below)
2. Open the notebook HamiltonF12020.ipynb in VS Code or Jupyter
3. Run all cells to reproduce the analysis and visualisations

Dependencies

• Python 3.8+
• fastf1
• matplotlib
• pandas
• seaborn

Install with pip:

pip install fastf1 matplotlib pandas seaborn

Data Source

All race data is fetched live using the FastF1 API, which provides official F1 timing and telemetry data.

Credits

• FastF1 for data access
• Formula 1 for the 2020 season data

---

Enjoy exploring one of the most dominant seasons in F1 history!