This repository conducts exploratory data analysis on IPL matches and deliveries using Python, Pandas, NumPy, and Matplotlib. It processes match-level and ball-by-ball data to uncover insights on team performance, player statistics, and match outcomes.
From the README
🏏 IPL Data Analysis using Python 📌 Overview This project performs an in-depth analysis of the Indian Premier League (IPL) dataset using Python. The objective is to extract meaningful insights related to team performance, player statistics, and match outcomes. --- 🛠️ Tech Stack • Python • Pandas • NumPy • Matplotlib --- 📂 Dataset The analysis is based on two datasets: • matches.csv → Match-level data (teams, results, venue, toss, etc.) • deliveries.csv → Ball-by-ball data (runs, batsman, bowler, etc.) --- ⚙️ Data Preprocessing • Converted date column to datetime format • Handled missing values in key columns (city, winner) • Removed irrelevant column (umpire3) • Merged datasets...
Skills
- Python
