Introduction to NFL Analytics with R

The NFL analytics movement is growing, with coaches integrating advanced numbers into their game plans and commentators regularly using terms such as air yards, CPOE, and EPA. Introduction to NFL Analytics with R is written in a more informal format to provide step-by-step instructions in a structured, jargon-free manner. It is for novices of R programming and more experienced coders, as well as audiences with differing expected outcomes. Professors can use it to provide data science lessons, while students can use it to create visualizations and machine learning models for assignments.

Format: Hardback
Length: 356 pages
Publication date: 19 December 2023
Publisher: Taylor & Francis Ltd

The NFL's analytics movement has gained significant traction, with an increasing number of coaches integrating advanced numbers into their game plans and commentators frequently using terms like air yards, CPOE, and EPA in broadcasts. This rapid growth, coupled with the increasing accessibility of NFL data, has fueled a burgeoning amateur analytics movement, exemplified by the NFL's annual Big Data Bowl.

Learning a coding language can be a challenging endeavor, making Introduction to NFL Analytics with R a valuable resource for beginners and experienced coders alike. The book is written in a more informal format, providing step-by-step instructions in a structured and jargon-free manner.

Key Coverage:
1. Installing R, RStudio, and necessary packages.
2. Working and becoming fluent in the tidyverse.
3. Finding meaning in NFL data with examples from all the functions in the nflverse family of packages.
4. Using NFL data to create eye-catching data visualizations.
5. Building statistical models, starting with simple regressions and progressing to advanced machine learning models using tidymodels and eXtreme Gradient Boosting.

The book is designed for novice R programmers, as well as more experienced coders, and audiences with varying expected outcomes. Professors can use the book to teach data science lessons through the lens of the NFL, while students can use it as an educational tool to create robust visualizations and machine learning models for assignments. Journalists, bloggers, and arm-chair quarterbacks can also benefit from the book by providing hard data and visualizations to support their arguments.

In conclusion, Introduction to NFL Analytics with R is a comprehensive guide that empowers readers to unlock the hidden insights within NFL data. Whether you are a fan, coach, player, or data enthusiast, this book provides the tools and knowledge to enhance your understanding of the game and make informed decisions based on empirical evidence.

Weight: 870g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032427959