F1 Clash Game Analysis

Race Legends

This repository provides data analysis tools to optimize player performance in the F1 Clash game. Utilizing the power of Python and Pandas, our scripts analyze various in-game parameters to give players the edge they need to win.

Contents

• F1_Clash_Loadouts.ipynb: Main script for analyzing driver, car, and boost data.
• loadout.csv: Output file containing combined car and boost data.
• drivers.csv: Output file containing combined driver and boost data.

Features

• Data Combiner: Combine different game datasets to view synergies between different game components.
• Performance Limiter: Ensures in-game attributes do not exceed game-defined limits, providing realistic and applicable results.
• CSV Export: Allows users to export the combined data for easy sharing and further analysis.

How to Use

1. Clone the repository.
2. Input your driver, car, and boost data in the format provided in F1_Clash_Loadouts.ipynb.
3. Run F1_Clash_Loadouts.ipynb.
4. Check loadout.csv and drivers.csv for the results.

Data Format

• df_drivers: Contains the performance attributes of different drivers.
• df_car: Contains the performance attributes of various cars.
• df_bottle: Represents the boosts that can be used in-game.

Each of these datasets needs to be formatted correctly (as shown in F1_Clash_Loadouts.ipynb) for the scripts to work as intended.

Contributions

Contributions are welcome! If you have ideas on how to improve the analysis or find any bugs, please open an issue or submit a pull request.

Disclaimer

This tool is meant for educational purposes and personal use only. We are not affiliated with the creators of the F1 Clash game.