Background: I am working on an analysis problem for multivariate modeling and visualization of datasets. Depending on the particular data, a user might be interested in relationships between two variables; in other cases, it could be five, for example. All that is to say it will be application and problem-dependent.
Question: My understanding is that, historically, the guidance for bokeh visualizations is to generate the models (figures, widgets, etc.) upfront based on the largest problem size one expects to solve and then disable or hide those models not needed in a particular scenario rather than dynamically adding and removing figures, widgets, etc. as the problem size changes.
Is this still the recommended approach? Is there anything in the bokeh roadmap geared towards cleanly and efficiently adding and removing models from a document dynamically?