Having established the fundamentals of plotting with Matplotlib, this chapter introduces Seaborn. Seaborn is a Python library built upon Matplotlib that offers a higher-level interface for creating informative statistical graphics. It often simplifies the code required for common visualizations and provides aesthetically pleasing default styles.

You will learn how to control the overall look of your plots using Seaborn's styles, contexts, and versatile color palettes. We will cover creating essential plots like scatter plots (scatterplot) and line plots (lineplot) using Seaborn's specific functions. Additionally, we'll examine how Seaborn interacts effectively with Pandas DataFrames, a common way to structure data for analysis and visualization. This chapter focuses on using Seaborn to produce common plot types with improved aesthetics and statistical representation.