4DatasInASet

Inspiration

We based our analysis in most part by 2 questions, How does this stand out immediately? and how does this present overtime? With this, and some of our own questions about the data, we created the best analysis we could over all 25 Grand Prix's

What it does

It analyzes data from 2025 Formula 1 Season and creates graphs to form trends and generate predictions on the most impactful factors to winning.

How we built it

We used R, Python - Pandas, Numpy, Matplotlib, and Claude.

Challenges we ran into

The data was abundant, but it was hard to interpret and graph due to our unfamiliarity of F1 and lack of knowledge of Python and R. Moreover, we overcame scheduling conflicts that came up.

Accomplishments that we're proud of

We are proud of our analysis and background research for the project, as it allowed us for a much objective and factual representation of the data.

What we learned

We learned how to utilize R and different Python libraries to analyze data while debugging, as well as an improved familiarization with data and analytics on more realistic and less ideal settings.