000 04723cam a22004458i 4500
001 22277933
003 UPMIN
005 20250326113801.0
008 211019t20222022nju b 001 0 eng
010 _a 2021042430
020 _a9781119598077
_q(Hardback)
040 _aDLC
_beng
_cDLC
_erda
042 _apcc
050 0 0 _aGV706.8
_b.K85 2022
082 0 0 _a796.02/1
_223/eng/20211020
090 _aGV706.8
_b.K85 2022
100 1 _aKwartler, Ted,
_d1978-
_eauthor.
_927371
245 1 0 _aSports analytics in practice with R /
_cTed Kwartler, Maynard, MA, Robert Baker, Haymarket, VA.
250 _aFirst Edition.
263 _a2112
264 1 _aHoboken, NJ :
_bJohn Wiley & Sons, Inc.,
_c2022.
300 _avolumes cm
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
500 _aCA CAMIA (Recommending faculty) AY2022-2023
504 _aIncludes bibliographical references and index.
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.
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
_xStatistics.
_927372
650 0 _aMathematical statistics
_xComputer programs.
_927373
650 0 _aR (Computer program language)
_927374
658 _aBiomechanics I
_cSS151
700 1 _aBaker, Robert E.,
_d1957-
_eauthor.
_927375
776 0 8 _iOnline version:
_aKwartler, Ted, 1978-
_tSports analytics in practice with R
_bFirst Edition.
_dHoboken, NJ : John Wiley & Sons, Inc., 2022
_z9781119598060
_w(DLC) 2021042431
905 _aFo
906 _a7
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_d1
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_cBKS
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