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 Boosting
The book is written for novices of R programming all the way to more experienced coders, as well as audiences with differing expected outcomes. Professors can use Introduction to NFL Analytics with R to 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.
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