Secondary categorical variable for box / violin plots

[stuart-cls]

What's your use case?
We would like a way to visualize distributions across categories between subsets.

What's your proposed solution?
Essentially add a third dimension to produce graphs like:

https://seaborn.pydata.org/tutorial/categorical.html#violinplots

where the new variable would be equivalent to the hue=sex parameter.

Are there any alternative solutions?
Custom script into a seaborn visualization :)

I may be able to implement this, but I wanted to ask if it would be accepted first.

[janezd]

We discussed this at the meeting. If you're willing to implement it, by all means, you're welcome!

[processo]

@stuart-cls A bit of a hack solution but you can always use Formula to make a new categorical attribute from any number of separate ones (like D1 := day+"_"+sex) and use that in Violin Plot.