IPL Data Analysis

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This repository contains code for analyzing IPL (Indian Premier League) data using Python and Dash.

📝 Table of Contents

• About
• Getting Started
• Authors
• License

🧐 About

The code provides visualizations and insights into various aspects of IPL matches, including toss decisions, match wins, runs scored, and bowling and batting performances.

🏁 Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

What things you need to install for this project and how to install them.

pandas: Data manipulation and analysis library
dash: Web application framework for building analytical dashboards
plotly: Interactive visualization library

Datasets Used

The following dataset needs to be installed before running the code

• Indian Premier League 2008-2019 : https://www.kaggle.com/datasets/nowke9/ipldata

Installing

The following commands can be used to install the prerequisites and run the code.

1. Install Dependencies

pip install pandas dash plotly

2. Clone the repository

git clone https://github.com/ShreyasShende3/IPL-Analysis.git

3. After cloning change the directory to the directory name

cd IPL-Analysis

Usage

1. Place the IPL dataset files (matches.csv and deliveries.csv) in the same directory as the Python code.

2. Run the Python script:

python main.py

3. Open a web browser and navigate to http://localhost:8050 to see the interactive visualizations.

You should see the following output:

✍️ Authors

• @Shreyas
• @Aneesh

License

GNU General Public License v3.0