A comprehensive tutorial on Formula 1 data analysis using the f1dataR package in R. Covers the full workflow from loading historical race results and lap times to pit stop strategy reconstruction, tyre degradation modeling, sector analysis, teammate comparisons, and building baseline predictive models with tidymodels. Includes code for a custom driver rating system and visualizations using ggplot2. The tutorial positions F1 data as a rich, practical case study for data wrangling, time-series analysis, feature engineering, and prediction.
Table of contents
Why Formula 1 analysis in R is such a strong nicheInstalling the packagesStart with race resultsLooking beyond the finishing positionAdd race and circuit contextLap times: where the analysis gets seriousComparing race pace by driverTyre degradation and stint analysisPit stops and strategyMeasuring post-stop paceTeammate comparison as the best benchmarkSector analysisFrom description to predictionPredicting a top-10 finishPredicting finishing positionA simple custom driver ratingFinal thoughtsSort: