Learn Python by Building Data Science Applications

Building a dashboard – three types of dashboard

In Chapter 12, Data Exploration and Visualization, we explored a dataset by visualizing different features, using two packages—matplotlib and altair. The differences between those visualizations and a dashboard are twofold:

• The audience for the dashboard is meant to be wide, so it should be easily accessible via an internet browser. Visualizations are often made for self-consumption.
• Dashboards are meant to be frequently updated and, to some extent, interactive. Visualizations are often done on-the-spot, are static, and show only specific aspects of the data.

To a large extent, dashboards are full-blown projects requiring regular improvement and maintenance! However, as the demand for this ...