Python for Data Analysis: Step-By-Step with Projects - Seaborn Library Overview

This video tutorial introduces the Seaborn library, a Python data visualization tool built on top of Matplotlib. It compares Seaborn with other libraries like Matplotlib and Plotly, highlighting its ease of use and integration with pandas. The tutorial covers setting up Seaborn, creating histograms, customizing plots, and using kernel density estimation (KDE) plots. It also demonstrates how to create box and count plots, emphasizing Seaborn's flexibility and stylish output.

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