To annotate plots in Seaborn, you can use the annotate function or the text function provided by Matplotlib, which Seaborn is built upon. Here’s a basic example:

Here’s a simple example of how to use axvline in Seaborn:

You will learn how to create a bubble chart in Seaborn.

Seaborn’s violin plot functionality is a powerful tool for visualizing the distribution of a continuous variable across different categories. Learn creating violin plots using Seaborn in Python.

To insert a Seaborn lineplot in Python, you can follow these steps:

Seaborn is a powerful data visualization library in Python that provides beautiful and easy-to-use interfaces for creating a variety of plots. One of the most common types of plots used in data visualization is a scatter plot. A scatter plot is a type of plot that displays the relationship between two variables. You will see how to create a scatter plot in Seaborn using the sns.scatterplot function on the built‑in tips dataset, mapping total_bill to the x‑axis and tip to the y‑axis for restaurant tipping analysis.