Exploring Iris Data Visualization with Seaborn’s Violin Plot in Python
Introduction
Data visualization is an essential skill for anyone who wants to explore and understand large datasets. One of the most popular libraries for data visualization in Python is Seaborn. In this article, we will focus on understanding how to use Seaborn’s violin plots to visualize the Iris dataset. By the end of this article, you’ll not only understand what a violin plot is but also know how to create one yourself using Python and Seaborn.
What is Seaborn?
Seaborn is a Python data visualization library based on Matplotlib that provides a high-level, easy-to-use interface for drawing attractive and informative statistical graphics. It comes with several built-in themes and color palettes to make it easy to create beautiful plots. Seaborn is particularly suited for visualizing complex datasets.
What is the Iris Dataset?
The Iris dataset is perhaps one of the most famous datasets used in data science. It contains 150 samples from each of three species of Iris flowers (Iris setosa, Iris virginica, and Iris versicolor). Four features were measured from each sample: the lengths and the widths of the sepals and petals.
