Formula 1 is one of most popular and highly enjoyed sport across the globe. Extreme precision, high accuracy and excellent team are the key constituents for a team to participate and win the grand prix. The moment anyone decides to act on their own, the team can either lose position or straight away get out of the competition. All the major teams like Scuderia Ferrari, McLaren, Redbull, Renault and numerous others compete for the world championship. As data science enthusiasts and huge fans of Formula1, we thought of analyzing the Formula1 dataset that we took from Kaggle which provided us with the open dataset that in turn provided us with numerous data attributes like Formula1 drivers, races, lap timings, seasons data, pitstop status and other related attributes.
Check out the Medium post for the complete analysis published in Towards Data Science here: https://towardsdatascience.com/formula-1-grand-prix-analysis-d05d73b1e79c
Check out the entire analysis on Tableau interactive dashboards here: https://public.tableau.com/profile/chinmaynw#!/vizhome/Formula1Analysis/Sheet1
Gantt chart depicting history of Grand Prix in the period (1950 - 2017):
Line chart depicting Grand prix distribution across the year from January to December
Symbol map depicting the distribution of race tracks across the world
Circle chart describing the nationalities of F1 drivers with various colors
Bubble chart depicting the number of rounds across the participating drivers in F1
Stacked Bar chart describing the race status for grand prix for the participating drivers in F1
[1] https://www.kaggle.com/cjgdev/formula-1-race-data-19502017
[2] https://www.behance.net/gallery/63599447/Formula-One-2018
If you found this useful, please consider starring(★) the repo so that it can reach a broader audience
This project is licensed under the MIT License. Feel free to create a Pull Request for adding implementations or suggesting new ideas to make the analysis more insightful