NBA Foul Project

Introduction

This project is a Python-based data analysis initiative focused on sports analytics, featuring scripts for data collection and analysis, particularly in identifying trends in sports data. In this project, I analyzed historical NBA foul data over the past 20 years to identify any potential inconsistencies in the calling of fouls between home and away teams in the NBA.

Contents

• Data_Collection.py: Script for gathering the foul data
• Data_Analysis.ipynb: Jupyter Notebook for data analysis with statistical tests and visualizations.
• Data: Input data folder.
• Results: Folder with t-test results

Contact

For queries or contributions, please submit an issue.