Forum Discussion

Anonymous's avatar
Anonymous
Not applicable
3 years ago
Solved

Unpivot a column without side information

Hello,

I am extracting a dataset from a php link.

 

 

After splitting by delimiter i get one line with all data

 

 

after unpivoting i end with these columns

 

 

The values on column 1 (Attribute) do not have a clear name and i can't use them to pivot the values on column 2 (Value).

 

Is there another way to pivot column 2?

 

Need Help
  • ImkeF's avatar
    ImkeF
    3 years ago

    Hi Anonymous ,
    please add an additional step to your query with the following formula:

    Table.FromRows( List.Split( #"Name of your previous step here"[Value], 12 ) )

     

    Or paste the following code into the advanced editor and follow the steps:

     

    let
    Source = Table.FromRows(
        Json.Document(
            Binary.Decompress(
                Binary.FromText("i45WMtQzUtJRMtQ1UorVAfFMwDwTKM8IxDWCSxqZgblA2VgA", BinaryEncoding.Base64), 
                Compression.Deflate
            )
        ), 
        let
            _t = ((type nullable text) meta [Serialized.Text = true])
        in
            type table [Attribute = _t, Value = _t]
    ), 
    #"Changed Type" = Table.TransformColumnTypes(Source, {{"Attribute", type number}, {"Value", type text}}), 
    Custom1 = Table.FromRows(List.Split(#"Changed Type"[Value], 2))
in
    Custom1

     

3 Replies

  • ImkeF's avatar
    ImkeF
    Community Champion
    3 years ago

    Hi Anonymous ,
    please add an additional step to your query with the following formula:

    Table.FromRows( List.Split( #"Name of your previous step here"[Value], 12 ) )

     

    Or paste the following code into the advanced editor and follow the steps:

     

    let
    Source = Table.FromRows(
        Json.Document(
            Binary.Decompress(
                Binary.FromText("i45WMtQzUtJRMtQ1UorVAfFMwDwTKM8IxDWCSxqZgblA2VgA", BinaryEncoding.Base64), 
                Compression.Deflate
            )
        ), 
        let
            _t = ((type nullable text) meta [Serialized.Text = true])
        in
            type table [Attribute = _t, Value = _t]
    ), 
    #"Changed Type" = Table.TransformColumnTypes(Source, {{"Attribute", type number}, {"Value", type text}}), 
    Custom1 = Table.FromRows(List.Split(#"Changed Type"[Value], 2))
in
    Custom1

     

    • Anonymous's avatar
      Anonymous
      Not applicable
      3 years ago

      Thank you ImkeF ! So the logic is to create a table based on the number of rows and since i have 12 rows for each record it's looping on these values.

  • ImkeF's avatar
    ImkeF
    Community Champion
    3 years ago

    Correct Anonymous ,
    that's how it works.