F1 Data Analysis Project

This is a small project for F1 Data Analysis. The goal is to use the open-source F1 API OpenF1 to collect, clean, analyze, and visualize F1 data.

📖 Table of Contents

• Requirements
• Process
• Data Gathering
• Data Cleaning
• Correlation Analysis
• Data Visualization

⚙️ Requirements

Ensure you have Python installed, then install these required packages:

pip install pandas
pip install matplotlib
pip install seaborn
pip install scipy

Install Everything in Onliner

pip install pandas matplotlib seaborn scipy

Process

📥 Data Gathering

Fetching race data using OpenF1 API to excel.

🛠 Data Cleaning

• Removing missing values, outliers, and inconsistent data.
• Ensuring data is structured for analysis.

📊 Correlation Analysis

• Using Pearson, Spearman, and Kendall correlation to find relationships between different race variables.
• Example: Lap time vs. finishing position, air temperature vs. performance, etc.

📉 Data Visualization

• Creating graphs and tables to make insights easy to understand.
• Using Matplotlib for visualization.