nflfastR-Python-Tutorial

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About this tutorial

This tutorial goes over how to work with nflfastR data in Python and concludes four parts:

• Part 1 - Importing Packages and Scraping the Data

  • Overview of the core python data science packages
  • How to scrape nflfastR data

• Part 2 - Getting to Know the Data

  • Basic pandas methods
  • Data cleaning

• Part 3 - Basic Data Manipulation

  • Subsetting/querying overview
  • Using the data to compute important fantasy metrics
    • Air yards data
    • Redzone targets
    • Carries inside the 5
  • Calculating fantasy points for every play along with player totals
  • One-Hot Encoding

• Part 4 - Data Viz! 📊

  • Basic viz with fantasy relevant data
  • Advanced viz using a function to show air yards distributions for any player

Resources used

Special thank yous

Click here to visit the nflfastR documentation

Thanks for checking out the tutorial, I hope you enjoy!

By: Max Bolger @mnpykings, 2020