IPL Data Analysis

IPL dataset analysis, finding trends, patterns and visualising data. Answering questions such as 1. Does Winning the Toss Lead to More Match Win? This question examines whether the toss provides a statistical advantage in IPL matches. The toss winner chooses to bat or bowl first based on pitch conditions, weather, and team strategy 2. Which Phase Impacts Victory Most: Powerplay, Middle Overs, or Death Overs? This analyzes which overs segment (Powerplay: 1-6, Middle: 7-14, Death: 15-20) most strongly correlates with winning 3. Who Are Top Bowlers and Batters Across All Seasons?Best Performe Process Data Cleaning using Pandas so that all Nan and outliers could be removed. Data Manipulation using Pandas in order to get correct answer to the questions Data Visualization using Matplotlib to find correct patterns from the data. Results 1. Does Winning the Toss Lead to More Match Wins? Ans - 50.77 % teams wins both toss and matches? Fraction of team winning match and toss and fraction of team losing after winning toss is almost equal.2. 2. Which Phase Impacts Victory Most: Powerplay, Middle Overs, or Death Overs? Ans - Death Over impacts the victory most. 3. Who Are Top Bowlers and Batters Across All Seasons? Ans - Virat Kohli is top batter while R. Ashwin is top bowler across all season. Reflection I would focus on creating eye catching visuals which would be more interesting for viewers to explore data.