Sports Analytics in Practice with R. Ted Kwartler

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      Ted Kwartler Harvard Extension School Adjunct, Faculty of Arts & Sciences Maynard, MA

      © 2022 John Wiley and Sons Ltd

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      The right of Ted Kwartler to be identified as the authors of this work has been asserted in accordance with law.

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      The contents of this work are intended to further general scientific research, understanding, and discussion only and are not intended and should not be relied upon as recommending or promoting scientific method, diagnosis, or treatment by physicians for any particular patient. In view of ongoing research, equipment modifications, changes in governmental regulations, and the constant flow of information relating to the use of medicines, equipment, and devices, the reader is urged to review and evaluate the information provided in the package insert or instructions for each medicine, equipment, or device for, among other things, any changes in the instructions or indication of usage and for added warnings and precautions. While the publisher and authors have used their best efforts in preparing this work, they make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives, written sales materials or promotional statements for this work. The fact that an organization, website, or product is referred to in this work as a citation and/or potential source of further information does not mean that the publisher and authors endorse the information or services the organization, website, or product may provide or recommendations it may make. This work is sold with the understanding that the publisher is not engaged in rendering professional services. The advice and strategies contained herein may not be suitable for your situation. You should consult with a specialist where appropriate. Further, readers should be aware that websites listed in this work may have changed or disappeared between when this work was written and when it is read. Neither the publisher nor authors shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

       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

      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 

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