Today we go over seaborn's joint plot. We start off with a description of marginal and joint distributions, follow through with two types of correlation, and end by describing the native functionality of seaborn's joint plot.
Associated Github Commit:
https://github.com/knathanieltucker/seaborn-weird-parts/commit/955227b80b37b07696cc75ac54854ea9b97a373a
Associated Seaborn Links:
http://seaborn.pydata.org/generated/seaborn.jointplot.html#seaborn.jointplot
http://seaborn.pydata.org/tutorial/distributions.html
Stats Functions:
https://en.wikipedia.org/wiki/Pearson_correlation_coefficient
https://en.wikipedia.org/wiki/Spearman's_rank_correlation_coefficient
