What is the primary purpose of the Seaborn library in Python for data analysis and visualization?

• Seaborn is easy to use. It provides a high-level interface for drawing statistical graphics, so you don’t need to know much about Matplotlib to use it.
• Seaborn provides a number of pre-defined statistical plots. This can save you a lot of time, as you don’t need to create your own plots from scratch.
• Seaborn provides a number of ways to customize the appearance of your plots. This allows you to create plots that are visually appealing and easy to understand.

Overall, Seaborn is a powerful and easy-to-use library for data visualization. If you are looking for a way to create beautiful and informative statistical graphics, Seaborn is a great option.

Here is a brief explanation of each option:

• A. Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed.
• B. Data manipulation is the process of cleaning, organizing, and transforming data into a format that can be used for analysis.
• C. Web development is the process of creating and maintaining websites.
• D. Statistical data visualization is the process of creating graphical representations of data to help understand and communicate the data.