/IPL-Analysis

we all know the Indian premier league (IPL) is the biggest cricket league in the world. Let’s perform the data analysis of IPL with the data of IPL matches from 2008 to 2020.

Primary LanguageJupyter Notebook

Indian Premier League (IPL) Data Analysis

This project analyses the Indian Premier League (IPL) cricket tournament data from 2008 to 2020. The analysis is performed using Python programming language and various data visualization libraries such as Seaborn, Matplotlib, and Plotly.

Data

The dataset used for this project is provided in the matches.csv file which contains information about IPL matches from 2008 to 2020. The file is stored in the Datasets directory.

Usage

The project provides various insights about IPL matches, such as:

  • Favourite Venues
  • Most Played Venue in the History of IPL from 2008 to 2020
  • Most Player of the Matches across 9 Seasons
  • Total Matches Played Across Each Season
  • Stadium Wise Analysis for Most Played 6 Venues
  • Analysis for year 2017
  • Is Toss Winner Also the Match Winner?
  • Maximum Man Of Matches
  • Winners By Year
  • Favorite Umpires
  • Matches Won By A Team Against Other Teams

To run the analysis, open the IPL_Data_Analysis.ipynb Jupyter Notebook and run the cells in sequence. The output will be displayed in the same notebook.