Learn Python by Building Data Science Applications

Understanding dynamic dashboards

An alternative approach to building a dashboard of your own is to make an actual web application, with a live server running Python on a backend; this will, upon request, show you a dashboard. This approach is, essentially, the exact opposite of a static dashboard in terms of pros and cons: it requires maintenance, needs to be scaled if the traffic is heavy, and could be slower. It also allows you to configure access, customize dashboards for any user or group of users, and compute the results live, even for a comparatively large dataset, without the need to share this dataset as a whole with the audience.

Of course, we could build an entire web application, controlling each and every feature (we won't do ...