Appendix B — Further Reading Suggestions

This book is, of course, not comprehensive when it comes to highlighting the R programming language. Because of this, the list below are suggested readings that will increase your knowledge/skill of R.

B.1 Introduction to R Programming Books

  1. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

  2. Hands-On Programming with R: Write Your Own Functions and Simulations

  3. The Book of R: A First Course in Programming and Statistics

  4. Learning R: A Step-by-Step Function Guide to Data Analysis

  5. The Art of R Programming: A Tour of Statistical Software Design

  6. Advanced R (Second Edition)

B.2 Data Visualization in R and Visualization Guides

  1. R Graphics Cookbook: Practical Recipes for Visualizing Data

  2. Storytelling with Data: A Data Visualization Guides for Business Professionals

  3. Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks

B.3 Sport Analytics Guides/Books

  1. The Midrange Theory: Basketball’s Evolution in the Age of Analytics

  2. Analyzing Baseball Data with R (2nd edition)

  3. A Fan’s Guide to Baseball Analytics: Why WAR, WHIP, wOBA, and other Advanced Sabermetrics Are Essential to Understanding Modern Baseball

  4. The Book: Playing the Percentages in Baseball

  5. The Hidden Game of Baseball: A Revolutionary Approach to Baseball and Its Statistics

  6. The Hidden Game of Football: A Revealing and Lively Look at the Pro Game, With New Stats, Revolutionary Strategies, and Keys to Picking the Winners

  7. Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports

  8. Basketball Data Science: With Applications in R

  9. Data Analytics in Football (Soccer): Positional Data Collection, Modelling, and Analysis