The correct answer is C. Dash.
Dash is a Python library for building web applications. It is based on Flask and Plotly, and it allows you to create interactive dashboards and web applications for data visualization. Dash is easy to use, and it has a wide range of features, including support for charts, graphs, maps, and tables.
Pandas is a Python library for data analysis. It is used to read, clean, and manipulate data. Pandas is a powerful tool, but it is not specifically designed for creating interactive dashboards.
Seaborn is a Python library for statistical visualization. It is used to create beautiful and informative charts and graphs. Seaborn is a great tool for data visualization, but it is not specifically designed for creating interactive dashboards.
Bokeh is a Python library for interactive data visualization. It is used to create interactive charts, graphs, and maps. Bokeh is a powerful tool for data visualization, but it is not as easy to use as Dash.
In conclusion, Dash is the best Python library for creating interactive data dashboards and web applications for data visualization. It is easy to use, and it has a wide range of features.