Summary
This chapter covers customizing plot appearance by adjusting style elements such as colors, borders, and layout to enhance readability, emphasize data, and support accessibility.

General domain of usage
Data visualization

It is <u>very</u> important to **customize** our plots. 

Why?
 
- Personal preference; 
- Enhancing Readability;
- Data Emphasis;
- Comparing Data;
- Visualization of Complex Data;
- Accommodating Accessibility.

Together we will make the first dive into visualization based on a seaborn library. We will learn how to build simple plots and how to customize them. You will cope faster with tasks if you know something about pandas. Do not hesitate, and let's go!

In this section, we will learn about the seaborn library and build our first plot! We will also learn about the friendship between the pandas and the Seaborn.

We continue learning plots with Seaborn.\n\nYou will learn some more new plots and even build 3-variable plot!

Plots seem so boring without customization...\nIn this section, we will learn how to make our plots perfectly styled!!

Why do we Need to Customize?

Without customization 😔

With customization 😊

Why do we Need to Customize?

Without customization 😔

With customization 😊