Open elinw opened 3 years ago
I guess it could be that we push the count to 0 so it works like the _NANUMERIC case.
I think the issue is primarily how we handle NA's in some of the summary stats that we include: count and hist. We could probably add some simple updates to check if all the data is NA, and if so, have them return NAcharacter too. How does that sound?
Recently I came across a situation where all of the values of some variables were classed NA. In this case skimr
I think the base columns are okay (n_missing, complte_rate) but probably we should not do the other statistics. @michaelquinn32 thoughts?