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This EDA project on the Indian Premier League (IPL) involves analyzing a dataset containing historical match data to identify successful teams, key performance trends, and insights, leveraging techniques like data visualization and statistics. The analysis is based on a TSF IPL dataset of 10 years.

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M123shashank/TSF_task-5_Indian-Premier-League-Exploratory-Data-Analysis

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TSF_task5-Indian Premier League Exploratory Data Analysis

This EDA project on the Indian Premier League (IPL) involves analyzing a dataset containing historical match data to identify successful teams, key performance trends, and insights, leveraging techniques like data visualization and statistics. The analysis is based on a TSF IPL dataset of 10 years and utilizes Python with libraries such as Pandas and Matplotlib for comprehensive exploration. The various Tableau links are:

Win %age : https://tabsoft.co/46iEgWG

Matches: https://tabsoft.co/3JpPP4x

Batting stats: https://tabsoft.co/43LIVyu

Bowling stats: https://tabsoft.co/3CGiYEI

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This EDA project on the Indian Premier League (IPL) involves analyzing a dataset containing historical match data to identify successful teams, key performance trends, and insights, leveraging techniques like data visualization and statistics. The analysis is based on a TSF IPL dataset of 10 years.

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