Whether or not you like football, the Super Bowl is a spectacle. There's a little something for everyone at your Super Bowl party. Drama in the form of blowouts, comebacks, and controversy for the sports fan. There are the ridiculously expensive ads, some hilarious, others gut-wrenching, thought-provoking, and weird. The half-time shows with the biggest musicians in the world, sometimes riding giant mechanical tigers or leaping from the roof of the stadium. It's a show, baby. And in this notebook, I found out how some of the elements of this show interact with each other.
- What are the most extreme game outcomes?
- How does the game affect television viewership?
- How have viewership, TV ratings, and ad cost evolved over time?
- Who are the most prolific musicians in terms of halftime show performances?
The dataset was scraped and polished from Wikipedia.
Python libraries installed:
This project contains four files:
notebook.ipynb: This is the main file where you will be performing your work on the project.
super_bowls.csv: Game data
tv.csv: TV data
halftime_musicians.csv: Halftime musician data for all 52 Super Bowls through 2018.
In a terminal (Mac), command window (Windows), run commnands
jupyter notebook notebook.ipynbor
ipython notebook notebook.ipynb