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Indian Premier League Data Analysis

The Indian Premier League (IPL) is a professional Twenty20 cricket league in India contested during March or April and May of every year by eight teams representing eight different cities or states in India. The league was founded by the Board of Control for Cricket in India (BCCI) in 2008.On 13 September 2007, the BCCI announced the launch of a franchise-based Twenty20 cricket competition called Indian Premier League whose first season was slated to start in April 2008, in a "high-profile ceremony" in New Delhi. BCCI vice-president Lalit Modi, said to be the mastermind behind the idea of the IPL, spelled out the details of the tournament including its format, the prize money, franchise revenue system and squad composition rules.
Even some of the foriegn plaers are bought from auction into the team to make the game more intresting for there fans.
Currently, with eight teams, each team plays each other twice in a home-and-away round-robin format in the league phase. At the conclusion of the league stage, the top four teams will qualify for the playoffs.

How to run the code

This is an executable Jupyter notebook hosted on Jovian.ml, a platform for sharing data science projects. You can run and experiment with the code in a couple of ways: using free online resources (recommended) or on your own computer.

Option 1: Running using free online resources (1-click, recommended)

The easiest way to start executing this notebook is to click the "Run" button at the top of this page, and select "Run on Binder". This will run the notebook on mybinder.org, a free online service for running Jupyter notebooks. You can also select "Run on Colab" or "Run on Kaggle".

Option 2: Running on your computer locally

  1. Install Conda by following these instructions. Add Conda binaries to your system PATH, so you can use the conda command on your terminal.

  2. Create a Conda environment and install the required libraries by running these commands on the terminal:

conda create -n zerotopandas -y python=3.8 
conda activate zerotopandas
pip install jovian jupyter numpy pandas matplotlib seaborn opendatasets --upgrade
  1. Press the "Clone" button above to copy the command for downloading the notebook, and run it on the terminal. This will create a new directory and download the notebook. The command will look something like this:
jovian clone notebook-owner/notebook-id
  1. Enter the newly created directory using cd directory-name and start the Jupyter notebook.
jupyter notebook

You can now access Jupyter's web interface by clicking the link that shows up on the terminal or by visiting http://localhost:8888 on your browser. Click on the notebook file (it has a .ipynb extension) to open it.

Downloading the Dataset

TODO - add some explanation here

Instructions for downloading the dataset (delete this cell)

!pip install jovian opendatasets --upgrade --quiet