EDA on the IPL Matches dataset Performing EDA on the IPL Matches Dataset

Exploratory Data Analysis refers to the critical process of performing initial investigations on data to discover patterns, to spot anomalies, test hypotheses and check assumptions with the help of summary statistics and graphical representations.

Exploratory Data Analysis (EDA) is an approach to analyze the data using visual techniques. It is used to discover trends, and patterns, or to check assumptions with the help of statistical summaries and graphical representations.

● Data Analysis (Data Pre-processing, Cleaning and Manipulation).

● Data Visualisation (Visualize relationships in data using different types of plots).

Indian Premier League(IPL) is a professional Twenty 20 cricket league in India contested during March or April and May of every year by eight teams representing eight different cities in India. The league was founded by the Board of Control for Cricket in India (BCCI) in 2008.

The data set that is going to be used is the 'IPL Matches Dataset'.It contains IPL matches data from 2008 to 2019, we are going to clean the data if required and perform Exploratory Data Analysis(EDA). The tools that are going to be used for the EDA would be NumPy, Pandas, Matplotlib and Seaborn.