Forum Discussion

kitala11's avatar
kitala11
Helper III
5 years ago

Column does not exist sometimes

Hello, I am facing a unique issue.  Basically there is this error "Column in table cannot be found or may not be used in this expression". Because in my query editor, I am pivoting a column as I w...
Need Help
Anonymous's avatar
Anonymous
Not applicable
5 years ago

Hi kitala11 

 

You are pivoting in Power Query Editor? Select the first two column, pivot the last column. Paste in Advanced Editor to see it

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjy0QElH6dACx4KCnFQgy1QpVidayQgq6l+UmJcOEjYHCxtDhd2LEgtSi4FMY7CwCXZhUzSjDZViYwE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", Int64.Type}, {"Column2", type text}, {"Column3", Int64.Type}}),
    #"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[Column2]), "Column2", "Column3", List.Sum)
in
    #"Pivoted Column"

 

kitala11's avatar
kitala11
Helper III
5 years ago

Hi, I don't think taht answers my question. Let me emphasise the key point so its more understandable. 

 

 

sometimes there may not be any apples sold for instance. Then this pivoted column wouldn't exist. There will not be a column called Apple to begin with if it doesn't exist as a record because no apple was sold. 

This is the problem I am trying to solve. My measures involves calculating the sum of apple grapes and orange. but if apples dont exist, the apple column wouldn't exist and my calculated measure would have an error

  • amitchandak's avatar
    amitchandak
    Super User
    5 years ago

    kitala11 , One solution I was saying is not to unpivot. Just create measure like

     

    Apple = Sumx(filter(Table, Table[fruit] ="Apple"), [Value])

     

    Orange= Sumx(filter(Table, Table[fruit] ="Orange"), [Value])

     

    but this means to much of measures, that is why I suggested to explore calculation groups, if they can help to reduce it