Hello, I think it would be a great idea to create a MOD for correlation plot.
This type of visualization shows how attributes correlate to other attributes in a dataset using the correlation coefficients. The correlation could be either positive or negative and varies on strength from 0 to 1.(0= no correlation, 1 = totally, 100% correlated)
Today, it is possible to create this using TERR or Python but I still think this is a potential for a MOD and it's typically available by default in most analytics softwares.
Why is important: because this is one of the most basics forms of exploratory data analysis, everyone wants to have a quick glimpse into variables that correlate and also to discover data trends and spot multicollinearity issues.
Who would benefit: Everyone exploring data, in any industry.
How it should work: One should have the option to drag and drop a MOD and simply select the attributes from a checkbox or something similar, and the correlation plot creates itself with the variables placed randomly. They should not be in a specific order, the order may be alphabetically by default for example.
I'm leaving some articles/videos for reference:
https://www.youtube.com/watch?v=GYDhTBNW9Ig
https://speedml.com/plot-correlation-of-features/