Cricketing Insights Unveiled: Python-Based Information Extraction from IPL Article Swipe
Kubra Bashir
,
Afsheen Maroof
,
Fatima Maqbool
,
Kiran Bashir
,
Syeda Iqra Hassan
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.31645/jisrc.24.22.2.12
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.31645/jisrc.24.22.2.12
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.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.31645/jisrc.24.22.2.12
- https://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/download/227/173
- OA Status
- diamond
- References
- 13
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4405576401
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4405576401Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.31645/jisrc.24.22.2.12Digital Object Identifier
- Title
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Cricketing Insights Unveiled: Python-Based Information Extraction from IPLWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
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2024-12-19Full publication date if available
- Authors
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Kubra Bashir, Afsheen Maroof, Fatima Maqbool, Kiran Bashir, Syeda Iqra HassanList of authors in order
- Landing page
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https://doi.org/10.31645/jisrc.24.22.2.12Publisher landing page
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https://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/download/227/173Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/download/227/173Direct OA link when available
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Python (programming language), Data science, Computer science, Raw data, Analytics, Cricket, Entertainment, Data extraction, MEDLINE, Operating system, Law, Political science, Visual arts, Programming language, Ecology, Art, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Each | 100 |
| abstract_inverted_index.This | 70 |
| abstract_inverted_index.aims | 14 |
| abstract_inverted_index.data | 7, 42, 54, 80 |
| abstract_inverted_index.fans | 68 |
| abstract_inverted_index.from | 19, 77 |
| abstract_inverted_index.into | 50 |
| abstract_inverted_index.like | 87 |
| abstract_inverted_index.role | 30 |
| abstract_inverted_index.team | 88 |
| abstract_inverted_index.that | 108 |
| abstract_inverted_index.this | 47 |
| abstract_inverted_index.toss | 95 |
| abstract_inverted_index.Excel | 83 |
| abstract_inverted_index.holds | 60 |
| abstract_inverted_index.large | 20 |
| abstract_inverted_index.match | 91, 113 |
| abstract_inverted_index.place | 63 |
| abstract_inverted_index.plays | 27 |
| abstract_inverted_index.study | 48 |
| abstract_inverted_index.Python | 45 |
| abstract_inverted_index.across | 31 |
| abstract_inverted_index.dates, | 92 |
| abstract_inverted_index.delves | 49 |
| abstract_inverted_index.derive | 106 |
| abstract_inverted_index.hearts | 66 |
| abstract_inverted_index.player | 117 |
| abstract_inverted_index.umpire | 98 |
| abstract_inverted_index.world, | 3 |
| abstract_inverted_index.Cricket | 59 |
| abstract_inverted_index.article | 71 |
| abstract_inverted_index.details | 86 |
| abstract_inverted_index.extract | 16 |
| abstract_inverted_index.fields, | 33 |
| abstract_inverted_index.focuses | 72 |
| abstract_inverted_index.growing | 10 |
| abstract_inverted_index.pivotal | 29 |
| abstract_inverted_index.science | 43 |
| abstract_inverted_index.sheets, | 84 |
| abstract_inverted_index.special | 62 |
| abstract_inverted_index.sports, | 38 |
| abstract_inverted_index.uncover | 56 |
| abstract_inverted_index.various | 32 |
| abstract_inverted_index.venues, | 93 |
| abstract_inverted_index.analysis | 13 |
| abstract_inverted_index.analyzed | 104 |
| abstract_inverted_index.compiled | 81 |
| abstract_inverted_index.datasets | 21 |
| abstract_inverted_index.informed | 24 |
| abstract_inverted_index.insights | 18, 76, 107 |
| abstract_inverted_index.outcomes | 114 |
| abstract_inverted_index.players, | 94 |
| abstract_inverted_index.seasons, | 90 |
| abstract_inverted_index.valuable | 17 |
| abstract_inverted_index.Utilizing | 41 |
| abstract_inverted_index.analytics | 8 |
| abstract_inverted_index.analyzing | 51 |
| abstract_inverted_index.attribute | 101 |
| abstract_inverted_index.business, | 36 |
| abstract_inverted_index.enhancing | 116 |
| abstract_inverted_index.including | 34 |
| abstract_inverted_index.insights. | 58 |
| abstract_inverted_index.outcomes, | 96 |
| abstract_inverted_index.today’s | 1 |
| abstract_inverted_index.actionable | 57 |
| abstract_inverted_index.decisions. | 99 |
| abstract_inverted_index.education, | 37 |
| abstract_inverted_index.extracting | 74 |
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| abstract_inverted_index.meaningful | 75 |
| abstract_inverted_index.predicting | 112 |
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| abstract_inverted_index.performance. | 118 |
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| abstract_inverted_index.entertainment. | 40 |
| abstract_inverted_index.exponentially. | 11 |
| abstract_inverted_index.decision-making. | 25 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.6600000262260437 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile.value | 0.2541747 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |