Basketball Analytics with R: From hoopR Data to Winning Insights is a professional, practice-oriented guide designed for coaches, analysts, students, and data enthusiasts who want to explore basketball through the power of R programming.
This book focuses on real-world, reproducible code examples, walking the reader step by step through data acquisition, wrangling, and analysis. The centerpiece is the hoopR package, which provides clean access to NBA and NCAA play-by-play and box score data. Combined with the tidyverse (dplyr, tidyr, stringr) and other R packages, readers will learn how to transform raw datasets into meaningful insights about players, teams, and performance.
The style blends clear tutorial explanations with case-based applications, making it easy to follow whether you are new to R or already comfortable with data analysis.
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Length: 29 pages of core content
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Bonus: An additional 12-page supplement is included as a free gift
This makes the book both concise and highly practical — a ready-to-use reference for anyone interested in applying R to basketball analytics.
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