The correct answer is D. Bokeh.
Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Bokeh can be used to create interactive charts, graphs, and maps, and is often used for data analysis and visualization.
Panel is a Python library that provides a high-level interface for creating interactive dashboards. Panel is built on top of Bokeh, and can be used to create dashboards that include multiple Bokeh figures.
Pandas is a Python library that provides high-performance, easy-to-use data structures and data analysis tools for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data. Pandas is often used for data analysis and visualization, but it does not provide a specific interface for creating interactive dashboards.
Seaborn is a Python data visualization library based on Matplotlib. Seaborn provides a high-level interface for creating statistical graphics, and is often used for data analysis and visualization. However, Seaborn does not provide a specific interface for creating interactive dashboards.