IPL Data Analysis by Web Scraping and Using PowerBI
Cricket fans throughout the world avidly follow the Indian Premier League (IPL), a competition of great fame. The IPL data is examined in this using Exploratory Data Analysis (EDA) approaches to find hidden trends, patterns, and insights. Key findings are summarized in EDA, a critical stage of data processing that is frequently complemented with visual aids. Through EDA, the goal is to investigate several factors, including team performance, player data, match results, and venue effects. Data transformation, cleaning, and visualization will all be part of producing insightful findings. Win percentages, player averages, and run distributions are examples of key performance indicators (KPIs) that will be looked at. The analysis's findings will give teams, athletes, and supporters important new information.
Authors
- J. Jagannathan
- P Mogith
- T B G Mothiswar
- Mohammad Abubak
- N. Balaganesh
Institutions
- Vellore Institute of Technology University (IN)
Publication Details
- Published
- 2025-04-13
- DOI
- https://doi.org/10.1109/itikd63574.2025.11005108
- Primary Topic
- Network Packet Processing and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00