hmmm interesting… it does look like something sneaks in that has a row count of 10… well at least the arrays arent crazy…i am.
df that works:
2×7 DataFrame
Row │ variable mean min median max nmissing eltype
│ Symbol Float64 Signed Float64 Signed Int64 Type
─────┼──────────────────────────────────────────────────────────────────────────────────────
1 │ xxxxxID 6.29382e5 600339 6.33712e5 634550 0 Union{Missing, Int32}
2 │ nrow 58.9706 50 60.0 60 0 Int64
df that fails:
2×7 DataFrame
Row │ variable mean min median max nmissing eltype
│ Symbol Float64 Signed Float64 Signed Int64 Type
─────┼────────────────────────────────────────────────────────────────────────────────────
1 │ xxxxxID 6.29566e5 600339 633750.0 634628 0 Union{Missing, Int32}
2 │ nrow 58.539 10 60.0 60 0 Int64
guess that leads to next question - can you use @chain count functions to mass remove anything that counts below window span in the transform function, all in the same linq call?