/NFLPenalties

Primary LanguageJupyter Notebook

NFLPenalties

Data scraped with BeautifulSoup parser from following sources:

  1. http://www.nflpenalties.com/
  2. http://www.pro-football-reference.com/officials
  3. https://en.wikipedia.org/wiki/List_of_current_National_Football_League_stadiums

Data primarily stored in csv files (for ease of analysis with R and/or Python), imported into Pandas dataframes, and displayed in matplotlib.

TODO:

  1. Organize directory structure
  2. More systematic data analysis of individual referees, players, and teams
  3. Machine-learning algorithms (via scikit-learn?) to predict penalties given variety of factors