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.

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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
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IPL Data Analysis by Web Scraping and Using PowerBI

J. Jagannathan, P Mogith, T B G Mothiswar, Mohammad Abubak et al.
Network Packet Processing and Optimization
article

IPL Data Analysis by Web Scraping and Using PowerBI

J. Jagannathan, P Mogith, T B G Mothiswar, Mohammad Abubak, N. Balaganesh
article en

Abstract

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.

Vellore Institute of Technology University (IN)
Openalex Percentile: Top 90%
Network Packet Processing and Optimization
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