This doc is a series of code that demonstrates the scraping of html table and text from multiple websites, as well as a variety of approaches to extensive data wrangling.

This RMarkdown demonstrates how to scrape NFL data and how to wrangle it. The scraping code is pretty straight forward and the wrangling consists mostly of grepl, gsub, and sapply for splitting strings.

This tutorial demonstrates a series of functions that display NFL player data in the very useful radar plot format, as well as several other functions that deliver useful data on the fly,

This is a short piece that shows the necessary steps to prepare data frames to be run through the NFL Quality Score Algorithm.

This is an example of using R to scrape data for the purposes of making a data frame.

This tutorial depicts how to create a data frame by reading a csv into R and then seperating it into several csv files by creating for-loop and ifelse functions.

This is a tutorial that demonstrates reading a csv file into R to make a data frame, altering said df by removing certain columns, reorganizing the remaining columns, and removing duplicate rows.