Sources

A list of sources that I've found helpful as I get acquainted with R and the various packages associated with the nflverse. It's possible that I might replicate examples provided by these people in the contents of this site for my own personal reference.

This is a working list and will be refined over time. channingverse is being built on the fly, so expect changes to the contents contained in this site.

Guides

1. R for Data Science - literally "the book" for learning R
2. nflfastR - the go-to resource for getting up to speed with nflfastR created by the twitter (now X) legends @benbbaldwin and @mrcaseb
3. An Introduction to NFL Analytics Using R - online book currently under draft by @BradCongelio
4. Football Analytics with Python & R: Learning Data Science Through the Lens of Sports by Eric Eager and Richard Erickson

YouTube Videos

1. MFANS - 40-ish minute tutorial videos from @tejseth. Builds pretty simple models with reproducible code examples - good for beginners.
2. Intro to nflscrapR in the Tidyverse - long form video that teaches you how to read data the into R, data exploration, plotting NFL data, and quick modeling via Tidymodels from @thomas_mock
3. Predictive modeling in R with tidymodels and NFL attendance - tutorial for creating a model to predict NFL attendance. A little on the advanced side of things for me but I found the video to be easy to follow and the code is very clean by @juliasilge

Online Communities

nflverse Discord

Last update: January 10, 2024