Add F1 championship circuit correlation analysis post #7
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Follow-up to Monte Carlo analysis covering Abu Dhabi finale predictions. Uses circuit similarity metrics to predict outcomes based on historical performance at correlated tracks.
- Fix championship standings: Norris 408, Verstappen 396, Piastri 392 - Correct Qatar incident: McLaren strategy error, not penalty - Add three-way title fight scenario (first since 2010) - Implement data-driven circuit similarity using f1dataR - Use 6 years (2019-2024) of team performance to derive correlations - Add full circuit similarity heatmap visualization
Add the following packages required for F1 circuit correlation analysis: - f1dataR v2.0.1: F1 data access via Jolpica API - httr2 v1.2.1: HTTP request handling (f1dataR dependency) - janitor v2.2.1: Data cleaning utilities (f1dataR dependency) - snakecase v0.11.1: String case conversion (janitor dependency)
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Follow-up to Monte Carlo analysis covering Abu Dhabi finale
predictions. Uses circuit similarity metrics to predict outcomes
based on historical performance at correlated tracks.