Introduction
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, ...
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