This seaborn kdeplot video explains both what the kernel density estimation (KDE) is as well as how to make a kde plot within seaborn. After introducing how a KDE plot is built, I demo Python code for both the univariate and bivariate KDE plots with seaborn. I also discuss what kinds of kernel to choose and how to set bandwidth.
00:00 What is KDE?
1:03 How does KDE work?
2:05 Univariate KDEplot code
4:02 What is bandwidth?
5:35 How to read a bivariate KDEplot
6:09 Bivariate KDEplot code
8:34 Conclusion and up next
Github code:
https://github.com/kimfetti/Videos/blob/master/Seaborn/02_KDEplot.ipynb
#seaborn #dataviz