BASKETBALL DATA SCIENCE
with applications in R
Zuccolotto, Paola.
creator
Manisera, Marica.
text
nyu
NEW YORK
CRC PRESS
2020
monographic
eng
1 online resource
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.
BUSINESS & ECONOMICS / Statistics
COMPUTERS / Database Management / Data Mining
MATHEMATICS / Recreations & Games
Basketball
Statistics
Basketball
Graphic methods
GV885.49.N37
796.323630973
9780429894251
0429894252
9780429470615
0429470614
9780429894268
0429894260
https://www.taylorfrancis.com/books/9780429470615
http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
https://www.taylorfrancis.com/books/9780429470615
http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
OCoLC-P
200116
20260210180827.0
9780429470615
eng