At what point do you consider dropping a categorical feature with missing values?

Hey all, I'm a month into my first true DS role and have run into something I'm not super experienced with. I know there's no hard and fast rule here, but I'd be curious to hear some discussion.

I have a dataset with a categorical variable that has na's for about 20% of its values. While there are many other features (about 20), I think that this would be a pretty useful feature to include in the model (just going …

categorical datascience dataset feature hey missing values role true values