ids-f1project

Datasets

• Dataset 1 (5 MB): Dataset of various Formula 1 data (circuits, results, teams etc.) from 1950-2018 [1]
• Dataset 2 (15 MB): Dataset of various Formula 1 data (circuits, results, teams etc.) from 1950-2017 (based on [1], better formatted) [2]

Goals for this project:

• Goal 1: Compare F1 lap times from 2004 to 2018 at frequently raced tracks (11 or more times)

• Goal 2: Predict the race winner among top 6 drivers based on data from the race and qualifying (except for the finishing positions and points)

• Goal 3: Gather some interesting data from 2012 season - one of the most interesting and even seasons in recent history.

• Goal 4: Compare two of the sports most successful racers - Michael Schumacher and Lewis Hamilton.

Links:

[1] https://ergast.com/mrd/db/#csv

[2] https://www.kaggle.com/cjgdev/formula-1-race-data-19502017

How to view and run the project:

The project code which generates graphs and other results is in a Jupyter Notebook file 'F1_Analysis.ipynb', meaning it's best ran with Jupyter Notebook. Inside the notebook there are headers, text paragraphs, and comments which further explain what we are trying to achieve and how the code works.