Forum Discussion

abelrmg's avatar
abelrmg
Helper II
9 years ago
Solved

Merge rows

Hi,

 

I have this data

 

How can i merge de rows and obtain one row with this structure:

idticketfecharegistro1fecharegistro2fecharegistro5fecharegistro7
121926/11/201530/11/201530/11/201511/04/2016

 

in according with the "estatus"

 

Regards

  • abelrmg

     

    You just need to create a custom column to append "Date" with estatus, then directly pivot on that column. See my sample below:

     

     

    Regards,

6 Replies

  • Anonymous's avatar
    Anonymous
    Not applicable

    I would first consider why you want to do this.  You can get to that format with your Power BI visuals, but leaving the data unpivoted gives you the greatest flexibility.

    • MarcelBeug's avatar
      MarcelBeug
      Community Champion

      Agree with Anonymous

       

      Should you still want to go ahead, then it can be done with Power Query (M). The following code was created via standard menu options; the last step with advanced option "Don't Aggregate".

       

      let
          Source = Table1,
          #"Removed Columns" = Table.RemoveColumns(Source,{"idCliente", "idUsuarioRegistro"}),
          #"Added Prefix" = Table.TransformColumns(#"Removed Columns", {{"estatus", each "fecharegistro" & _, type text}}),
          #"Changed Type" = Table.TransformColumnTypes(#"Added Prefix",{{"fechaRegistro", type date}}),
          #"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[estatus]), "estatus", "fechaRegistro")
      in
          #"Pivoted Column"
      • abelrmg's avatar
        abelrmg
        Helper II

        Hi MarcelBeug the query send this error

         

        Expression.Error: The column 'idCliente' of the table wasn't found.
        Details:
        idCliente

         

        Regards

    • abelrmg's avatar
      abelrmg
      Helper II

      Hi Anonymous, i want to do this because i will calculate time between dates.

       

      • Anonymous's avatar
        Anonymous
        Not applicable

        Still easy to do in the current format.  Create some sort of index marker and do your calculations.