Sports Analytics in Practice with R

Preface vii

Author Biography ix

Foreword xii

1 Introduction to R 1

2 Data Visualization: Best Practices 25

3 Geospatial Data: Understanding Changing Baseball Player Behavior 55

4 Evaluating Players for the Football Draft 91

5 Logistic Regression: Explaining Basketball Wins and Losses with Coefficients 133

6 Gauging Fan Sentiment in Cricket 155

7 Gambling Optimization 191

8 Exploratory Data Analysis: Searching Data for Opponent Insights 227

Index 253

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• Matemática

Data in sports; data driven business; money ball; sports organization; open source; R software; programming language; statistics; machine learning; rapid prototyping; player evaluation; team level statistics; sentiment analysis