Seaborn is a powerful visualization tool built on top of Matplotlib. It makes multi-variable exploratory data analysis easier and intuitive, and it adds a few new types of plots, and its background styles and color maps are much more pleasing. It has many built-in statistical functions, making it a preferred tool for statistical data analysis. It also has quite elaborate online documentation, which you can find at https://seaborn.pydata.org/index.html.
We will use two datasets to demonstrate most of the seaborn features. One dataset, Wine Quality, is already familiar to you, and we will introduce a new dataset containing snack sales data from a fictitious snack shop. Instead of reading these files many times in each of the recipes, we will describe both of them in this section, and subsequently we will just use them for plotting the graphs. This is a slight deviation...