While exploring a dataset, we are constrained to use the available built-in charts. Depending on the use case, it is necessary to load the data in a notebook, generate the charts using python, for example, and then publish them as an insight.
In order to simplify this scenario, DSS could offer the a "Custom visualizations" section with Python/R charts. It could look like this, for example:
When clicked, a code editor opens up and the User will be able to generate the chart they wish for the current dataset, using the packages they are more comfortable with. Once the code is saved, the chart would appear in the screen just like the others.