Seaborn Violin Plot – Tutorial and Examples
Introduction
Seaborn is one of the most widely used data visualization libraries in Python, as an extension to Matplotlib. It offers a simple, intuitive, yet highly customizable API for data visualization.
In this tutorial, we’ll take a look at how to plot a Violin Plot in Seaborn.
Violin plots are used to visualize data distributions, displaying the range, median, and distribution of the data.
Violin plots show the same summary statistics as box plots, but they also include Kernel Density Estimations that represent the shape/distribution of the data.
Importing Data
To start with, we’ll want to choose a dataset that is suited to the creation of violin plots.
The dataset should have continuous, numerical features. This is because Violin Plots are used to visualize distributions of continuous data. They display the range, median, and distribution of the data.
Violin Plots essentially show the same