Seaborn is a high-level data visualization Python library focused on statistics. It is built on top of Matplotlib and plays very well with pandas dataframes. The plotting functions included in the library cover statistical relationships (e.g. scatterplots), distributions (e.g. histograms) and their corresponding versions for categorical data.

I have used this library in the context of data engineering to better understand the raw data and evaluate which details are worth attention for feature engineering. In addition, I gained some extra familiarity with this library from doing the exercises on the book An Introduction to Statistical Learning with Applications in R, that I followed using Python instead (specifically, with Seaborn and Statsmodels).