Seaborn, like many other data visualization libraries, relies on the underlying Pandas DataFrame for data manipulation. It doesn't handle missing data directly. It's recommended to handle missing data in your DataFrame using Pandas methods, such as dropna() or fillna(), before using Seaborn for visualization. This ensures that Seaborn works with clean and complete data for accurate and meaningful visualizations.