SAS7BDAT stores all numbers as floating point values. When a value is missing, it stores the number as NaN. Technically, NaN and missing data are different things but in this scenario is more likely the number is missing than a true NaN.
This enhancement request is to treat NaN as missing value when reading the file. The column type effectively changes from vector of Float64 to vector of Union{Missing, Float64}. Such behavior may be requested by the user using a new keyword argument nan_as_missing. Further, this option may be used in conjunction with the column_types argument given that some types e.g. Int do not support NaN.
SAS7BDAT stores all numbers as floating point values. When a value is missing, it stores the number as
NaN. Technically,NaNand missing data are different things but in this scenario is more likely the number is missing than a trueNaN.This enhancement request is to treat
NaNas missing value when reading the file. The column type effectively changes from vector ofFloat64to vector ofUnion{Missing, Float64}. Such behavior may be requested by the user using a new keyword argumentnan_as_missing. Further, this option may be used in conjunction with thecolumn_typesargument given that some types e.g.Intdo not support NaN.Ref comments from #32 and #42