The correct answer is D. Statistical data visualization.
Seaborn is a Python data visualization library based on Matplotlib. It provides a high-level interface for drawing attractive statistical graphics. Seaborn is built on top of Matplotlib, but it provides a number of features that make it easier to use for data visualization. For example, Seaborn provides a number of pre-defined statistical plots, such as line plots, bar charts, and scatter plots. Seaborn also provides a number of ways to customize the appearance of your plots, such as changing the colors, fonts, and axes labels.
Here are some of the benefits of using Seaborn for data 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.