Basketball Data Science : With Applications in R Paperback / softback
by Paola Zuccolotto, Marica Manisera
Part of the Chapman & Hall/CRC Data Science Series series
Paperback / softback
- Information
Description
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 basketballPresents tools for modelling graphs and figures to visualize the dataIncludes real world case studies and examples, such as estimations of scoring probability using the Golden State Warriors as a test caseProvides the source code and data so readers can do their own analyses on NBA teams and players
Information
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In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:244 pages, 15 Tables, color; 65 Illustrations, color
- Publisher:Taylor & Francis Ltd
- Publication Date:14/01/2020
- Category:
- ISBN:9781138600799
Other Formats
- PDF from £44.99
- EPUB from £44.99
- Hardback from £108.88
Information
-
In Stock - low on stock, only 1 copy remainingFree UK DeliveryEstimated delivery 2-3 working days
- Format:Paperback / softback
- Pages:244 pages, 15 Tables, color; 65 Illustrations, color
- Publisher:Taylor & Francis Ltd
- Publication Date:14/01/2020
- Category:
- ISBN:9781138600799