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Similar to using a notebook as a source for optimization code, allow the user to write a notebook that contains visualization components for a dashboard page. Ideally, have an ability per cell to hide the cell, the output or both from the dashboard. For instance through some new annotations (`#dd-hide`, `dd-hide-cell`, `dd-hide-cell-output`) This would allow the user to include comments (markdown cells) or just the output of a cell (e.g. a graph, map, print statement) while hiding the code that generates the output. The dashboard framework should load the inputs and outputs. Use a annotation like `#dd-ignore` to filter out cells that are not relevant for the visualization
The gist of the idea is to be able to include certain types of charts and other output that: a. Is not supported by the default set of available charts. b. Require code to generate the output.
Examples of usage: * Folium map visualizations. These are very rich interactive UIs that require a fair bit of coding. It is not realistic that this type of visualization will be able to be supported through some a chart-wizard without coding in Python.
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