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Basketball Data Science (With Applications in R)
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$73.99
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Product Details
Author:
Paola Zuccolotto, Marica Manisera
Format:
Paperback
Pages:
244
Publisher:
CRC Press (January 14, 2020)
Language:
English
ISBN-13:
9781138600799
Weight:
13.5oz
Dimensions:
6.125" x 9.1875"
File:
TAYLORFRANCIS-TayFran_260513043821732-20260513.xml
Folder:
TAYLORFRANCIS
List Price:
$73.99
Series:
Chapman & Hall/CRC Data Science Series
Case Pack:
20
As low as:
$70.29
Publisher Identifier:
P-CRC
Discount Code:
H
Country of Origin:
United States
Pub Discount:
30
Imprint:
Chapman and Hall/CRC
Overview
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 NBA player's 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
