Introduction to NFL Analytics with R (Chapman & Hall/CRC Data Science Series) 1st Edition

It has become difficult to ignore the analytics movement within the NFL. An increasing number of coaches openly integrate advanced numbers into their game plans, and commentators, throughout broadcasts, regularly use terms such as air yards, CPOE, and EPA on a casual basis. This rapid growth, combined with an increasing accessibility to NFL data, has helped create a burgeoning amateur analytics movement, highlighted by the NFL's annual Big Data Bowl. Because learning a coding language can be a difficult enough endeavor, Introduction to NFL Analytics with R is purposefully written in a more informal format than readers of similar books may be accustomed to, opting to provide step-by-step instructions in a structured, jargon-free manner.Key Coverage:Installing R, RStudio, and necessary packages  Working and becoming fluent in the `tidyverse`  Finding meaning in NFL data with examples from all the functions in the `nflverse` family of packages  Using NFL data to create eye-catching data visualizations  Building statistical models starting with simple regressions and progressing to advanced machine learning models using `tidymodels` and eXtreme Gradient BoostingThe book is written for novices of R programming to more experienced coders, as well as audiences with differing expected outcomes. Professors can use Introduction to NFL Analytics with Rto provide 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 alike will find the book helpful to underpin their arguments by providing hard data and visualizations to back up their claims. Read more