Sports Analytics in Practice with R
Ted Kwartler Harvard Extension School Adjunct, Faculty of Arts & Sciences Maynard, MA
This edition first published 2022
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Library of Congress Cataloging-in-Publication Data
Names: Kwartler, Ted, 1978- author.
Title: Sports analytics in practice with R / Ted Kwartler, Maynard, MA.
Description: First Edition. | Hoboken, NJ : John Wiley & Sons, Inc., 2022. | Includes bibliographical references and index. | Contents: Introduction to R -- Data Vizualization & Dashboards: Best practices -- Geospatial Data: Understanding changing baseball player behavior -- Machine Learning Basics: Modeling football draft patterns, pick number & clusters among athletes -- Logistic Regression: Explaining basketball wins & losses with coefficients -- Natual Language Processing: Understanding cricket fan topics & sentiment -- Linear Optimization: Programmatically seleting an optimal fantasy football lineup.
Identifiers: LCCN 2021042430 (print) | LCCN 2021042431 (ebook) | ISBN 9781119598077 (Hardback) | ISBN 9781119598060 (PDF) | ISBN 9781119598091 (ePub) | ISBN 9781119598084 (eBook)
Subjects: LCSH: Sports--Statistics. | Mathematical statistics--Computer programs. | R (Computer program language)
Classification: LCC GV706.8 .K85 2022 (print) | LCC GV706.8 (ebook) | DDC 796.02/1--dc23/eng/20211020
LC record available at https://lccn.loc.gov/2021042430 LC ebook record available at https://lccn.loc.gov/2021042431
Cover image: © Lorado/Getty Images
Cover design by Wiley
Set in 9.5/12.5pt STIXTwoText by Integra Software Services Pvt. Ltd, Pondicherry, India
Contents
1 Cover
4 Preface
6 Foreword
8 2 Data Visualization: Best Practices
9 3 Geospatial Data: Understanding Changing Baseball Player Behavior
10 4 Evaluating Players for the Football Draft
11 5 Logistic Regression: Explaining Basketball Wins and Losses with Coefficients
12 6 Gauging Fan Sentiment in Cricket
14
8