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| Main Author: | |
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| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.15119158 |
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Table of Contents:
- <div> <p><em><span>The Indian Premier League (IPL) generates extensive data yearly, offering opportunities for in- depth sports analytics. This research presents a detailed analysis of IPL team performance using Jupyter Notebook (Python-based analysis) and Power BI (dashboard visualization). Using IPL datasets spanning 2008–2022, this study examines match outcomes, player performances, venue statistics, and scoring trends. The research highlights how data visualization and analytics can enhance strategic decision-making in cricket. Additionally, the study explores various statistical techniques for analyzing match outcomes and individual player performances, contributing to the growing field of sports analytics.</span></em></p> </div>