Summary
This chapter introduces using Seaborn to create statistical data visualizations through a high-level Python interface, allowing you to explore data relationships and distributions with minimal code.

General domain of usage
Exploratory data analysis

Seaborn is a powerful Python library designed for **statistical data visualization**. Built on top of `matplotlib`, it offers a **high-level interface** for creating attractive and informative graphics. With seaborn, you can quickly explore data relationships, visualize distributions, and highlight statistical patterns using just a few lines of code. The library simplifies complex plotting tasks, making it easier for you to gain insights from your data and present your findings clearly.

import seaborn as sns

# Check the version to confirm successful import
print(sns.__version__)

Which statements about seaborn and its import syntax are correct?

Explore the power of statistical data visualization designed to reveal patterns and relationships. Use Seaborn to create informative distribution plots, heatmaps, and categorical charts with minimal code. Learn to apply aesthetic themes and color palettes that make complex statistical data accessible and easy to interpret.

Introduction to Seaborn