02928cam a2200517M 4500 9780429470615 FlBoTFG 20260210180827.0 m o d cr |n||||||||| 200116s2020 nyu o 000 0 eng d OCoLC-P eng OCoLC-P 9780429894251 (electronic bk.) 0429894252 (electronic bk.) 9780429470615 (electronic bk.) 0429470614 (electronic bk.) 9780429894268 (electronic bk. : PDF) 0429894260 (electronic bk. : PDF) 1138600792 9781138600799 1138600814 9781138600812 (OCoLC)1135386043 (OCoLC-P)1135386043 GV885.49.N37 BUS 061000 bisacsh COM 021030 bisacsh MAT 025000 bisacsh WS bicssc 796.323630973 23 Zuccolotto, Paola. BASKETBALL DATA SCIENCE [electronic resource] : with applications in R. NEW YORK : CRC PRESS, 2020. 1 online resource Chapman & Hall/CRC data science series Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an MBA players shots or doing an analysis of the impact of high pressure game situations on the probability of scoring, this book discusses a variety of case studies and hands-on examples using a custom R package. The codes are supplied so readers can reproduce the analyses themselves or create their own. Assuming a basic statistical knowledge, Basketball Data Science with R is suitable for students, technicians, coaches, data analysts and applied researchers. Features: One of the first books to provide statistical and data mining methods for the growing field of analytics in basketball. Presents tools for modelling graphs and figures to visualize the data. Includes real world case studies and examples, such as estimations of scoring probability using the Golden State Warriors as a test case. Provides the source code and data so readers can do their own analyses on NBA teams and players. OCLC-licensed vendor bibliographic record. BUSINESS & ECONOMICS / Statistics bisacsh COMPUTERS / Database Management / Data Mining bisacsh MATHEMATICS / Recreations & Games bisacsh Basketball Statistics. Basketball Graphic methods. Manisera, Marica. Taylor & Francis https://www.taylorfrancis.com/books/9780429470615 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf 92085 92084