f1-analysis

Welcome to f1-analysis, your go-to repository for analyzing Formula 1 data using the FastF1 library in Python.

Overview

This repository is designed to provide a comprehensive toolkit for enthusiasts, analysts, and developers interested in exploring and dissecting various aspects of Formula 1 races. Leveraging the powerful FastF1 library, users can efficiently retrieve and manipulate telemetry and race data, enabling in-depth analysis of race performance, driver behaviors, team strategies, and more.

Key Features

• Integration of FastF1 Library: Seamlessly harness the capabilities of FastF1 for efficient data retrieval and manipulation.
• Data Visualization: Create insightful plots and charts using matplotlib, seaborn, or other visualization libraries for race analysis.
• Statistical Analysis: Perform statistical analysis to gain deeper insights into race dynamics and trends.
• Interactive Notebooks: Utilize Jupyter notebooks for interactive data exploration and analysis.
• Documentation and Examples: Comprehensive documentation and example scripts to facilitate effective utilization of the repository.

Getting Started

To get started with f1-analysis, follow these steps:

1. Clone the repository to your local machine:

git clone https://github.com/lalutir/f1-analysis.git

2. Install the required dependencies using pip:

pip install -r requirements.txt

3. Explore the provided notebooks and scripts to analyze Formula 1 data

• For more information, like metadata, see the setup.py

Usage

• Use the provided notebooks as a guide for analyzing Formula 1 data.
• Modify and extend the provided scripts to suit your specific analysis requirements.
• Refer to the documentation for detailed information on using the FastF1 library and conducting analysis.

Contributing

Contributions to f1-analysis are welcome! Whether it's fixing bugs, adding new features, or improving documentation, your contributions are greatly appreciated. Please see the CONTRIBUTING.md file for guidelines on contributing to this repository.

Code of Conduct

Please review our Code of Conduct before contributing.

Versioning

For Alpha and Beta releases, versioning will follow the format vA.B.C-alpha/beta, where:

• A represents major changes,
• B represents minor changes, and
• C represents patches.

After the Alpha/Beta phase, versioning will transition to vYEAR.ROUND.SESSION(.PATCH), where:

• YEAR corresponds to the year in which the release is released,
• ROUND represents the round number of the Grand Prix within the season,
• SESSION represents the session number in the round, and
• (.PATCH) denotes a possible mid-round patch.

For example:

• v1.0.0-beta indicates the first beta release.
• v2024.03.01 indicates the release of the 2024 Formula 1 season, round 3, session 1.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Special thanks to the creators and maintainers of the FastF1 library for their invaluable contribution to Formula 1 data analysis. Link to FastF1

Start exploring Formula 1 data with f1-analysis today and uncover fascinating insights into the world of motorsport!