The correct answer is D. 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 with ease. Dash is a great choice for data visualization, and it can be used to create dashboards for a variety of purposes.
Pandas is a Python library for data analysis. It is a powerful tool that can be used to clean, manipulate, and visualize data. Pandas is not specifically designed for creating dashboards, but it can be used to create simple dashboards.
Seaborn is a Python library for statistical visualization. It is a great tool for creating beautiful and informative visualizations. Seaborn is not specifically designed for creating dashboards, but it can be used to create simple dashboards.
Panel is a Python library for creating interactive dashboards. It is based on Pandas and Matplotlib, and it allows you to create dashboards with ease. Panel is a great choice for data visualization, and it can be used to create dashboards for a variety of purposes.
However, Dash is the most popular library for creating interactive and web-based dashboards for data analysis and visualization. It is easy to use and can be customized to meet your specific needs.