- Conducted IPL data analysis by cleaning, manipulating, and visualizing data using Python libraries.
- Transformed and manipulated data to uncover some intersting facts.
- Visualized data with line plots, bar plots, heatmaps etc.
- Libraries Used: Numpy, Pandas, Matplotlib, Seaborn, Python.
- The dataset you used for IPL analysis consists of 3 CSV files, which contain information about matches throughout the seasons and data for each ball delivered in all of the matches.
- There is a higher tendency of batsman to hit six (100+) in the final overs.
- In 2017, KKR scored on an average 56 runs during the powerplay overs followed by Gujarat Lions and Mumbai Indians.
- Virat Kohli faced the highest number of dot balls around 1347 followed by Shikhar Dhawan (1320).
- Virat Kohli is the highest run maker scoring about 5434 runs throughout the IPL seasons followed by Suresh Raina (5415) and Rohit Sharma (4914).
- DJ Bravo was the purple cap holder for two years (2013 and 2015) while Bhuvaneshwar Kumar was during 2016 and 2017.
- There is a 46.15% chance of winning if a team bats first at Wankhede Stadium while there is a 40.5% chance at Eden Gardens.