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An exploratory data analysis dashboard for Formula#1 datasets, developed using the Streamlit framework

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F1-Analytix 🏁

F1-Analytix is a work-in-progress EDA dashboard, designed to represent various datasets around Formula 1 Motorsport. The aim of this project was to expand on my current data analysis and maniuplation skills, using the Pandas library to prepare data and Streamlit to visually present said data to users.

Multi-driver preview Single driver preview

A few main features I'd like to add to this project include:

  • Additonal representations for solo drivers
  • [Potentially] Additional pages for analysis on other areas of focus eg. circuits, seasons etc

Contents 📖

Installation/Requirements ⬇️

Clone git project:

git clone https://github.com/KianaR/F1-Analytix.git

Note: It's recomended to create and activate a virtual environment for the project at this stage.

Install project dependancies:

pip install -r requirements.txt

How it works 📋

Running the webapp:

You can run the dashboard using the following command in your terminal:

streamlit run dashboard.py

-> Now select your driver(s) and begin!

Known Issues ⚠️

  • Older race/driver data not always registering - Currently raised under: Issue #1

Contributions 📃

If you have any feedback or contributions to improve this project, feel free to share your thoughts!

Credits 🤍

Dataset source: https://www.kaggle.com/datasets/rohanrao/formula-1-world-championship-1950-2020/

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An exploratory data analysis dashboard for Formula#1 datasets, developed using the Streamlit framework

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