F1 Gap Visualizer

A Streamlit web application that uses the FastF1 Python library to visualize gaps to the race winner across any Formula 1 session.
Select a year, Grand Prix, and session type to instantly generate:

• A clean bar chart showing each finisher’s gap to the winner
• A full classification table (including DNFs and lapped cars)
• Automatic display of Lapped → +1 Lap, +2 Laps, etc.
• Team-colored bars using custom livery color mapping

This project showcases data engineering, visualization, clean UI design, and Python ecosystem tool integration.

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Features

Session Selection

• Choose season year (2018–2024)
• Choose any Grand Prix from that season (auto-loaded from FastF1)
• Select session type:
  • Race (R)
  • Qualifying (Q)
  • Sprint (S)
  • FP1 / FP2 / FP3

Gap Visualization

• Bar chart sorted by official finishing position
• Bars colored by team’s primary livery color
• +1 Lap labels automatically added for lapped drivers
• Clean marker for the race winner (Leader)

Results Table

Displayed next to the chart:

• Position
• Driver code
• Team name
• Gap (Leader, +X.XXXs, +1 Lap, blank for DNFs)
• Status (FINISHED / DNF)

Speed & Caching

• FastF1 disk caching for downloaded sessions
• Streamlit caching for repeated app usage
• Efficient processing pipeline