IPL Data Analysis

This is a data analysis project that uses the historical dataset of the Indian Twenty20 Cricket League (IPL). Data from a specific time frame in which matches were played is used.

We can see the team performance, individual achievements, stadium location; advantages and limitations.

Technologies used

Python, Matplotlib, Pandas, Seaborn, Numpy

Getting Started

To get the project up and running, complete the following steps:

1. Install the dependencies:

   1. Use Python version 3.9.19
   2. Using Pip install matplotlib, numpy, pandas and seaborn

2. Clone this repo: git clone https://github.com/patelvaidat/IPL_Data_Analysis_project.git (HTTPS)

3. Execute the Main program file

Screenshots

• Menu

• Chances of winning in MA Chidambaram Stadium, Chepauk if batting is chosen first/second

• Preference given to batting/balling first

• Matches displayed according to number of wickets (user-defined)