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020 _a9781119598084
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020 _a1119598087
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020 _a9781119598060
_qelectronic book
020 _a1119598060
_qelectronic book
020 _a9781119598091
_qelectronic book
020 _a1119598095
_qelectronic book
020 _z9781119598077
_qhardcover
035 _a(OCoLC)1280407440
_z(OCoLC)1280402760
040 _aDLC
_beng
_erda
_cDLC
_dOCLCF
_dOCLCO
_dYDX
_dDG1
_dOCLCO
_dTR-AnTOB
041 0 _aeng
042 _apcc
050 0 0 _aGV706.8
_b.K83 2022
090 _aGV706.8
_b.K83 2022EBK
100 1 _aKwartler, Ted,
_d1978-
_0http://id.loc.gov/authorities/names/no2017020732
_eauthor
245 1 0 _aSports analytics in practice with R /
_cTed Kwartler, Robert Baker
264 1 _aHoboken, NJ :
_bJohn Wiley & Sons, Inc.,
_c2022.
264 4 _c©2022
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
504 _aBIBINDX
505 0 _aIntroduction to R -- Data Vizualization & Dashboards: Best practices -- Geospatial Data: Understanding changing baseball player behavior -- Machine Learning Basics: Modeling football draft patterns, pick number & clusters among athletes -- Logistic Regression: Explaining basketball wins & losses with coefficients -- Natual Language Processing: Understanding cricket fan topics & sentiment -- Linear Optimization: Programmatically seleting an optimal fantasy football lineup
506 _aAvailable to OhioLINK libraries
520 _a"R is an open-source, freely available programming language used throughout this book. R is a powerful and longstanding programming language developed more than 20 years ago. It is a derivative of the "S" programming language for statistics originating in the mid-nineties developed by AT&T and Lucent Technologies. Unlike other programming languages R is optimized specifically for statistics including but not limited to simulation, machine learning, visualizations and traditional statistical modeling (linear regression) as well as tests. Due to the open-source nature of R, many developers, academics, and enthusiasts have contributed to its development for their specific needs. As a result, the language is extensible meaning it can be easily used for various purposes. For example, through R markdown simple websites and presentations can be created. In another use case, R can be used for traditional linear modeling or machine learning and can draw upon various data types for analysis including audio files, digital images, text, numeric and various other data files and types. Thus, it is widely used and non-specialized other than to say R is an analysis language. This differs from other languages which specialize in web development like Ruby, or python which has extended its functionality to building applications not just analysis. In this textbook, the R language is applied specifically to sports contexts. Of course, the code in this book can be used to extend your understanding of sports analytics. It may give you insights to a particular sport or analytical aspect within the sport itself such as what statistics should be focused on to win a basketball game. However, learning the code in this book can also help open up a world of analytical capabilities beyond sports. One of the benefits of learning statistics, programming and various analysis methods with sports data is that the data is widely available, and outcomes are known. This means that your analysis, models and visualizations can be applied, and you can review the outcomes as you expand upon what is covered in this book. This differs from other programming and statistical examples which may resort to boring, synthetic data to illustrate an analytical result. Using sports data is realistic and can be future oriented, making the learning more challenging yet engaging. Modeling the survivors of the Titanic pales in comparison since you cannot change the historical outcome or save future cruise ship mates. Thus, modeling which team will win a match or which player is a good draft pick is a superior learning experience"--
_cProvided by publisher
650 0 _aSports
_0http://id.loc.gov/authorities/subjects/sh85126887
_xStatistics.
_0http://id.loc.gov/authorities/subjects/sh2003003690
_91575
650 0 _aMathematical statistics
_xComputer programs.
_0http://id.loc.gov/authorities/subjects/sh85082136
_9496
650 0 _aR (Computer program language)
_0http://id.loc.gov/authorities/subjects/sh2002004407
_925812
655 0 _aElectronic books
_92032
655 7 _aStatistics.
_2fast
_0http://id.worldcat.org/fast/1423727
700 1 _aBaker, Robert E.,
_d1957-
_0http://id.loc.gov/authorities/names/n2012186927
_eauthor
856 4 0 _3Wiley Online Library
_zConnect to resource
_uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119598084
942 _2lcc
_cEBK