DefinePK

DefinePK hosts the largest index of Pakistani journals, research articles, news headlines, and videos. It also offers chapter-level book search.

Cricketing Insights Unveiled: Python-Based Information Extraction from IPL


Article Information

Title: Cricketing Insights Unveiled: Python-Based Information Extraction from IPL

Authors: Kubra Bashir, Afsheen Maroof, Fatima Maqbool, Kiran Bashir, Syeda Iqra Hassan

Journal: Journal of Independent Studies and Research Computing

HEC Recognition History
Category From To
Y 2024-10-01 2025-12-31
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
Y 2019-12-20 2020-06-30
Z 2018-05-11 2019-12-19

Publisher: Shaheed Zulfikar Ali Bhutto Institute of Sc. & Technology (SZABIST), Karachi

Country: Pakistan

Year: 2024

Volume: 22

Issue: 2

Language: English

DOI: 10.31645/JISRC.24.22.2.12

Keywords: data visualizationSports analyticsData extractionIndian Premier League

Categories

Abstract

In today’s data-driven world, the importance of data analytics is growing exponentially. Data analysis aims to extract valuable insights from large datasets and facilitate informed decision-making. It plays a pivotal role across various fields, including healthcare, business, education, sports, and entertainment. Utilizing data science and Python programming, this study delves into analyzing raw IPL data to uncover actionable insights. Cricket holds a special place in the hearts of fans worldwide. This article focuses on extracting meaningful insights from raw IPL data compiled in Excel sheets, encompassing details like team performance, seasons, match dates, venues, players, toss outcomes, and umpire decisions. Each attribute was meticulously analyzed to derive insights that can aid in predicting match outcomes and enhancing player performance.


Paper summary is not available for this article yet.

Loading PDF...

Loading Statistics...