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Introduction to Python for MATLAB Users

Data Visualization with Seaborn

Explore how to use Seaborn, a Python library built on Matplotlib, to visualize data effectively. Understand various plot types such as bar, line, scatter, heatmap, violin, and box plots. Gain practical skills to represent statistical data visually with minimal coding effort.

We'll cover the following...

Seaborn is a Python data visualization library based on Matplotlib. It provides a high-level interface for creating informative and attractive statistical graphics. In this lesson, we will cover the basics of Seaborn and provide examples of how to use it for data visualization.

Data preparation

For our examples, we will use the built-in titanic dataset in Seaborn. To load the dataset, we can use the following code:

Python 3.10.4
import seaborn as sns
titanic = sns.load_dataset("titanic")
print(titanic)

There are different columns in the dataset, such as survived, pclass ...