This repository contains an Exploratory Data Analysis (EDA) of the Formula 1 dataset. The dataset encompasses comprehensive information on Formula 1 races, drivers, constructors, qualifying sessions, circuits, lap times, pit stops, and championships. The data spans from the inception of Formula 1 in 1950 to the latest available information for the 2023 season.

The Formula 1 dataset used for this analysis is a comprehensive collection of information related to various aspects of the sport. It includes data on:

• Races
• Drivers
• Constructors
• Qualifying sessions
• Circuits
• Lap times
• Pit stops
• Championships

1. f1_dataset.csv: The main dataset file in CSV format containing raw data.

2. notebooks/:

   • 01_Exploratory_Data_Analysis.ipynb: Jupyter Notebook file containing the code for the exploratory data analysis.

3. images/:

   • Contains images and plots generated during the EDA process.

The EDA process is documented in the Jupyter Notebook 01_Exploratory_Data_Analysis.ipynb. The analysis covers various aspects, including but not limited to:

• General statistics and characteristics of the dataset.
• Trends and patterns in races, drivers, and constructors over the years.
• Championship statistics.

This EDA project provides valuable insights into the Formula 1 dataset, offering a comprehensive understanding of the sport's evolution over the years. Feel free to explore, analyze, and extend the analysis further.

Happy analyzing!

Note: Ensure you have Python and Jupyter Notebook installed on your machine before running the code.