Visualizing categorical data is crucial for gaining insights into how different categories relate to other variables. Categorical data, unlike continuous data, falls into discrete categories or labels. Seaborn, with its suite of powerful tools, provides efficient ways to visualize and interpret such data.

Visualizing categorical variables with Seaborn allows you to:

• Compare the distribution of a numerical variable across different categories.
• Visualize the relationships between two categorical variables.
• Highlight how categorical variables relate to one or more numerical variables.

By leveraging Seaborn's functionalities, one can dive deep into the intricacies of categorical data, enabling a holistic understanding of its nuances.