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This repo focuses on recreating AWS Corner Insights used in F1 broadcasts. It uses the FastF1 Api.

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mosesmulwa-bebop/F1-AWS-Corner-Analysis-in-Python

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This repo focuses on recreating AWS Corner Insights used in F1 broadcasts. It uses the FastF1 Api.

Documentation for the fastf1 library can be found here:https://theoehrly.github.io/Fast-F1/index.html

Inspired by this medium article: https://medium.com/towards-formula-1-analysis/how-to-recreate-the-formula-1-aws-corner-analysis-in-python-37c26363c47b

AWS corner Analysis compares the Braking, Cornering and Throttle controls of drivers as they go through corners.
Using the FastF1 API, this analysis can be re-created.

This notebook compares the corner behaviour of Hamilton and Verstappen during the 2021 British GP Qualifying.

This can however be modified to any drivers and also any sessions.

Inspiration from Amazon Insights

Amazon Insights

Output

Output

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This repo focuses on recreating AWS Corner Insights used in F1 broadcasts. It uses the FastF1 Api.

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