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Applicable88's avatar
Applicable88
Impactful Individual
4 years ago
Solved

Grouping a orginal table with two count aggregation

Hello,   I tried to use the "Group by" function within PowerQuery, but got two same row counts. So I guess it count all rows, even though I chose "not the empty fields". My example original table:...
  • Anonymous's avatar
    Anonymous
    4 years ago

    Hi Applicable88 ,

     

    Try to use List.NonNullCount function.

    = Table.Group(#"Changed Type", {"Categories", "Year "}, {{"ID SCAN Count", each List.NonNullCount([ID SCAN]), Int64.Type},{"ID MAN Count",each List.NonNullCount([ID MAN]), Int64.Type}})

    The whole M languae:

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45Wck4sSU3PL8pMLVbSUYpMTSxSANKeLgrBzo5+EJYvmBGUmptYlA1S5JmXlq8UqxOt5AjkGBkYWgIpQyNjIKkAx2jSIEFjI0Nc0qampjh0GxmAdBoaG2HIOyG0Gxkb4pA2gukzNzfHJ21qYoxP2sLCAiEdCwA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"(blank)" = _t, #"(blank).2" = _t, #"(blank).4" = _t, #"(blank).6" = _t, #"(blank).8" = _t, #"(blank).10" = _t]),
        #"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
        #"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"Categories", type text}, {"Year ", Int64.Type}, {"ID SCAN", Int64.Type}, {"ID MAN", Int64.Type}, {"Remarks", type text}, {"Info", type text}}),
        #"Grouped Rows" = Table.Group(#"Changed Type", {"Categories", "Year "}, {{"ID SCAN Count", each List.NonNullCount([ID SCAN]), Int64.Type},{"ID MAN Count",each List.NonNullCount([ID MAN]), Int64.Type}})
    in
        #"Grouped Rows"

     

    Best Regards,

    Stephen Tao

     

    If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.