How to extract data and labels of column from .SAV file?

How to extract data and labels of column frm SAV file? Is posible convert to nativ Array of Julia ?
Why my A.labels is empty ?

julia> A=read_sav("test.sav")
ReadStatDataFrame(Any[DataValues.DataValue{Float
2.0, 2.0], DataValues.DataValue{Float64}[0.13964
ataType[Float64, Float64, Float64], ["", "", ""]
00000008, 0x0000000000000008], Int32[1, 1, 1], I
.0=>"facet",1.0=>"kob"),"labels1"=>Dict(2.0=>"mi

julia> A
ReadStatDataFrame(Any[DataValues.DataValue{Float64}[1.0, 2.0, 1.0, 2.0], DataValues.DataValue{Float64}[1.0, 1.0,
2.0, 2.0], DataValues.DataValue{Float64}[0.139644, 0.431302, 0.612179, 0.290753]], Symbol[:plec, :klwm, :waga], D
ataType[Float64, Float64, Float64], ["", "", ""], ["F8.2", "F8.2", "F8.2"], UInt64[0x0000000000000008, 0x00000000
00000008, 0x0000000000000008], Int32[1, 1, 1], Int32[0, 0, 0], ["labels0", "labels1", ""], Dict("labels0"=>Dict(2
.0=>"facet",1.0=>"kob"),"labels1"=>Dict(2.0=>"miasto",1.0=>"wiocha")), 4, 3, "", 2019-03-13T13:57:49, 2)
julia> A.data
3-element Array{Any,1}:
DataValues.DataValue{Float64}[1.0, 2.0, 1.0, 2.
DataValues.DataValue{Float64}[1.0, 1.0, 2.0, 2.
DataValues.DataValue{Float64}[0.139644, 0.43130

julia> A.labels
3-element Array{String,1}:
""
""
""
ulia> A.labels[1]
"

ulia> A.labels[2]
"

ulia> A.labels[3]
"

Thanks, Paul

The report centers on read_sav and the returned ReadStatDataFrame fields data, labels, and value-label dictionaries; begin by reproducing the shown SAV read and inspecting how those fields are populated. Done means establishing the intended extraction path and resolving why the column labels are empty.