Circle of Parity

A circle of parity happens when every team in a conference has beaten another team and lost to another in such a way that a cycle exists. This implies that every team is better than another team and worse than another, which seems contradictory

I posit that this happens more than you would think and is not a rare event. To the data!

Installation

pip install -r requirements.txt

Process

A huge thanks to James Howell and his awesome College Football Scores page. This wouldn't have been possible without it.

Scrape the Data (You don't need to do this)

fab scrape

This will scrape and download the score data, the conference data, and the logos

Transform the Data

fab transform

This will transform the raw txt data into CSV and JSON.

Analyze the Data

fab analyze

This takes in the CSV and JSON files and spits out a circle.json file with all the parity circles in the data

Make it Pretty

fab report

Print out a nice report of all circles

Total circles        : 134 in 142 years
Average per year     : 0.943661971831
First circle         : 1869
Most in a season     : 6 in 2006 with Big 12, Big East, CUSA, MAC, Pac 10, SEC
Largest circle       : 16 teams, WAC in 1997
Most in a conference : 16 in the Big Ten in 1959, 1962, 1963, 1964, 1972, 1976, 1982, 1985, 1986, 1996, 2000, 2001, 2004, 2008, 2009, 2010

Interactive Parity Circles

fab circles_to_html

Create an HTML page for each circle of parity. You can access each parity circle via any browser by opening data/circles_html/circlesnum.html where num ranges from 0-134 (number of circles of parity we found so far). You can also just open data/circles_html/index.html for a full list of parity circles. Thanks to Addy Osmani for his great jQuery plugin roundrr (http://addyosmani.com/blog/jquery-roundrr/). Also uses Jinja2 for templating in the HTML page creation.