The correct answer is B. Seaborn.
Seaborn is a Python data visualization library based on Matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Seaborn is built on top of Matplotlib, but it provides a number of features that make it easier to use, such as a consistent style guide and a number of pre-defined plotting functions.
Seaborn is commonly used for data visualization and exploration with a focus on producing informative statistical graphics. It is a powerful tool that can be used to create a wide variety of graphs, charts, and other visualizations.
Here are some of the features of Seaborn:
- A consistent style guide: Seaborn provides a consistent style guide for all of its visualizations. This makes it easy to create visualizations that look professional and polished.
- Pre-defined plotting functions: Seaborn provides a number of pre-defined plotting functions that can be used to create common types of visualizations. This makes it easy to get started with Seaborn, even if you are not familiar with Matplotlib.
- A wide range of visualization types: Seaborn can be used to create a wide range of visualization types, including line plots, bar charts, scatter plots, and more.
- Interactive visualizations: Seaborn can be used to create interactive visualizations that allow users to explore the data in more detail.
- Integration with other Python libraries: Seaborn can be easily integrated with other Python libraries, such as NumPy and Pandas. This makes it easy to use Seaborn to visualize data that has been processed using these libraries.
If you are looking for a powerful and easy-to-use Python library for data visualization, Seaborn is a great option.