This repository contains a comprehensive analysis of the Indian Premier League (IPL) from 2008 to 2024. Leveraging the latest dataset, it offers insights into match statistics, player performances, team comparisons, and trends over the years.
Data is really only valuable if we can translate it into actionable insights. Gaining these insights starts with figuring out what we want from our data. This project will help you understand how to perform analysis on IPL data to derive meaningful insights & make predictions.
Comprehensive end-to-end analysis of the IPL (2008-2024) featuring ball-by-ball and match-wise datasets. This project explores team evolution, toss strategies, and introduces custom performance metrics like the 'Anchor Index' and 'Hitter Index.' Full interactive dashboard link below.
This repository showcases IPL data analysis using Apache Spark. The project demonstrates the power of Spark for data transformation, cleaning, SQL queries, and visualization, all performed with PySpark to handle large-scale data efficiently.
A detailed analysis of IPL dataset from the year 2008-18. Includes graphs and explainations.
🏏 Analyze IPL match and delivery data from 2008 to 2024 to uncover insights on team strategies and player performance using Python and Power BI.
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