Formula1 Datasets: Racing Statistics and Python Analysis Notebooks

Formula 1 World Championship racing statistics and analysis workflows maintained by toUpperCase78 on GitHub, updated through March 2026. The repository provides a collection of motorsports data paired with Python-based Jupyter Notebooks for immediate data science application. It covers historical and contemporary racing results across the global F1 circuit.

Use Cases

• Analyzing driver performance trends using the provided Python analysis notebooks
• Visualizing constructor championship standings across different racing eras
• Developing predictive models for race outcomes based on historical motorsports statistics

Strengths

• Includes Jupyter Notebooks for immediate exploratory data analysis
• GPL-3.0 license allows for open-source modification and redistribution
• Combines raw racing data with pre-written Python analysis scripts

Limitations

• Specific column definitions and schema documentation are missing from the primary metadata
• Primary data source (e.g., API vs. manual entry) is not specified, making verification difficult

Provenance

Freshness

Updated as of March 2026, indicating coverage of recent racing seasons.

Geography

Global