Sports Analytics in Practice with R. Ted Kwartler

      

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

      2  Title page

      3  Copyright

      4  Preface

      5  Author Biography

      6  Foreword

      7  1 Introduction to R

      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

      13  7 Gambling Optimization

      14  8