Zipf's Law and US Metro Population Growth

This is a demonstration of the Zipfs Law (i.e. the Rank-Size Rule) using the 2017 Population Estimates supplied from the U.S. Census Bureau.

Project Overview:

I test the Zipf Law assertion that U.S. Metro Areas when plotted and regressed, exhibit a -1.0 regression coeffiecent. I use the 2017 U.S Metro Area Population Esitmates from the U.S Census Bureau and do end up confirming the initial assertion using this data.

Project Packages:

pandas matplotlib.pyplot numpy seaborn sklearn.linear_model import LinearRegression