RDatasets in Win10 produce NaN-values for unvailable values (NAs) as compared to Unices.
So the funcs dropna() and complete_cases() 'do not work' as needed, no filtering done.
I think this was an issue with DataFrames. The R dataset functionality in DataFrames has been moved to RData, and the issue you've noticed has been fixed there.
using RDatasets, DataFrames df = dataset("mlmRev","Gcsemv");
Produces: │ 1 │ "20920" │ "16" │ "M" │ 23.0 │ NaN │ │ 2 │ "20920" │ "25" │ "F" │ NaN │ 71.2 │ │ 3 │ "20920" │ "27" │ "F" │ 39.0 │ 76.8 │ │ 4 │ "20920" │ "31" │ "F" │ 36.0 │ 87.9 │ │ 5 │ "20920" │ "42" │ "M" │ 16.0 │ 44.4 │ │ 6 │ "20920" │ "62" │ "F" │ 36.0 │ NaN │ │ 7 │ "20920" │ "101" │ "F" │ 49.0 │ 89.8 │ │ 8 │ "20920" │ "113" │ "M" │ 25.0 │ 17.5 │ │ 9 │ "20920" │ "146" │ "M" │ NaN │ 32.4 │ │ 10 │ "22520" │ "1" │ "F" │ 48.0 │ 84.2 │
RDatasets in Win10 produce NaN-values for unvailable values (NAs) as compared to Unices. So the funcs dropna() and complete_cases() 'do not work' as needed, no filtering done.