eBook
Sports Analytics in Practice with R
| Title: | Sports Analytics in Practice with R |
|---|---|
| Description: | Sports Analytics in Practice with R A practical guide for those looking to employ the latest and leading analytical software in sport In the last twenty years, sports organizations have become a data-driven business. Before this, most decisions in sports were qualitatively driven by subject-matter experts. In the years since numerous teams found success with “Money Ball” analytical perspectives, the industry has sought to advance its analytical acumen to improve on- and off-field outcomes. The increasing demand for data to inform decisions for coaches, scouts, and players before and during sporting events has led to intriguing efforts to build upon this quantitative approach. As this methodology for assessing performance has matured and grown in importance, so too has the open-source R software emerged as one of the leading analytical software packages. In fact, R is a top 10 programming language that is useful in academia and industry for statistics, machine learning, and rapid prototyping. Sports Analytics in Practice with R neatly marries these two advances to teach basic analytics for sports-related use—from cricket to baseball, from basketball to tennis, from soccer to sports gambling, and more. Sports Analytics in Practice with R readers will also find: A broad perspective of sports, focusing on a wide range of sports rather than just one The first book of its kind that features coding examples Case study approach throughout the book Companion website including data sets to work through alongside the explanations Sports Analytics in Practice with R is a helpful tool for students and professionals in the sports management field, but also for sports enthusiasts who have a coding background. |
| Authors: | Ted Kwartler |
| Resource Type: | eBook. |
| Subjects: | R (Computer program language), Mathematical statistics--Computer programs, Sports--Statistics |
| Categories: | MEDICAL / Sports Medicine, MATHEMATICS / Probability & Statistics / General, SOCIAL SCIENCE / Statistics |
| Database: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 3199023 RelevancyScore: 962 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 962.24267578125 |
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| Items | – Name: Title Label: Title Group: Ti Data: Sports Analytics in Practice with R – Name: Abstract Label: Description Group: Ab Data: Sports Analytics in Practice with R A practical guide for those looking to employ the latest and leading analytical software in sport In the last twenty years, sports organizations have become a data-driven business. Before this, most decisions in sports were qualitatively driven by subject-matter experts. In the years since numerous teams found success with “Money Ball” analytical perspectives, the industry has sought to advance its analytical acumen to improve on- and off-field outcomes. The increasing demand for data to inform decisions for coaches, scouts, and players before and during sporting events has led to intriguing efforts to build upon this quantitative approach. As this methodology for assessing performance has matured and grown in importance, so too has the open-source R software emerged as one of the leading analytical software packages. In fact, R is a top 10 programming language that is useful in academia and industry for statistics, machine learning, and rapid prototyping. Sports Analytics in Practice with R neatly marries these two advances to teach basic analytics for sports-related use—from cricket to baseball, from basketball to tennis, from soccer to sports gambling, and more. Sports Analytics in Practice with R readers will also find: A broad perspective of sports, focusing on a wide range of sports rather than just one The first book of its kind that features coding examples Case study approach throughout the book Companion website including data sets to work through alongside the explanations Sports Analytics in Practice with R is a helpful tool for students and professionals in the sports management field, but also for sports enthusiasts who have a coding background. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ted+Kwartler%22">Ted Kwartler</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22R+%28Computer+program+language%29%22">R (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+statistics--Computer+programs%22">Mathematical statistics--Computer programs</searchLink><br /><searchLink fieldCode="DE" term="%22Sports--Statistics%22">Sports--Statistics</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Sports+Medicine%22">MEDICAL / Sports Medicine</searchLink><br /><searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Probability+%26+Statistics+%2F+General%22">MATHEMATICS / Probability & Statistics / General</searchLink><br /><searchLink fieldCode="ZK" term="%22SOCIAL+SCIENCE+%2F+Statistics%22">SOCIAL SCIENCE / Statistics</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=3199023 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 796.021 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: R (Computer program language) Type: general – SubjectFull: Mathematical statistics--Computer programs Type: general – SubjectFull: Sports--Statistics Type: general Titles: – TitleFull: Sports Analytics in Practice with R Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ted Kwartler – PersonEntity: Name: NameFull: Ted Kwartler IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2022 – D: 13 M: 04 Type: profile Y: 2022 Identifiers: – Type: isbn-print Value: 9781119598077 – Type: isbn-electronic Value: 9781119598060 – Type: isbn-electronic Value: 9781119598091 Titles: – TitleFull: Sports Analytics in Practice with R Type: main |
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