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BiscuitKen's avatar
BiscuitKen
Frequent Visitor
2 years ago
Solved

Conditionally Update Columns in Pivoted Data

Hi

 

I've pivoted data and now want to update the values that are null to STANDARD but only where 'WorkType' = SHIFT regardless of the dates in the column headers as these will change.

 

The data looks like this

 

Employee NumberWorkType20/05/202421/05/202422/05/202423/05/202424/05/2024
00001SHIFTnullnullSTANDARDSTANDARDSTANDARD
00002SHIFTnullnullSTANDARDSTANDARDSTANDARD
00003SHIFTSTANDARDSTANDARDSTANDARDSTANDARDSTANDARD
00004STANDBYnullnullnullnullnull
00005SHIFTSTANDARDSTANDARDSTANDARDnullSTANDARD
00006SHIFTSTANDARDSTANDARDSTANDARDSTANDARDSTANDARD
00007SHIFTSTANDARDSTANDARDSTANDARDSTANDARDSTANDARD
00008SHIFTnullnullSTANDARDSTANDARDSTANDARD
00009STANDBYnullnullnullnullnull
00010SHIFTSTANDARDSTANDARDSTANDARDSTANDARDSTANDARD

 

I've added this line to the query;

 

= Table.ReplaceValue(#"Pivoted Column",null,"STANDARD",Replacer.ReplaceValue,Table.ColumnNames(#"Pivoted Column"))

 

 

This replaces all null values but I only want to update the rows that are SHIFT and leave the STANDBY row as null.

 

Any help would be appreciated.

Need Help
  • slorin's avatar
    slorin
    2 years ago

    Hi BiscuitKen 

     

     

    = Table.ReplaceValue(#"Pivoted Column",null, each if [WorkType]="SHIFT" then "STANDARD" else null,Replacer.ReplaceValue,Table.ColumnNames(#"Pivoted Column"))

     Stéphane

3 Replies

  • slorin's avatar
    slorin
    Super User
    2 years ago

    Hi BiscuitKen 

     

     

    = Table.ReplaceValue(#"Pivoted Column",null, each if [WorkType]="SHIFT" then "STANDARD" else null,Replacer.ReplaceValue,Table.ColumnNames(#"Pivoted Column"))

     Stéphane

  • Anonymous's avatar
    Anonymous
    Not applicable
    2 years ago

    Hi BiscuitKen ,

    How about replacing before pivot columns?

    let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("jZU7DoMwEETv4hop9hp/UhKhKGlSBJoIcf9rhCoKu4yZysJviqfRrlkWF1znpsfzPm+n+ItPF/HSbx9u7RQNTSp/dJqH1zi8R5uKVKpHKWnaStNWKFuhbIWyjcgWpwKVgvaRso+U/e/i9jlsW3HTt+JywuMJ7zVPVLuJajdR7SbUrqWw1UxZZ8o6U9YZWeMUtC+UfaHsC2VfKPtC2dfm61GRtaXQtlK2lbK9nuyf4sZYcbN/ipt5VtzsX/DUMOxjcBr2Mfwz8VTD+9hxxesX", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Employee Number" = _t, WorkType = _t, Attribute = _t, Value = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Employee Number", Int64.Type}}),
    #"Replaced Value" = Table.ReplaceValue(#"Changed Type","",each if [WorkType] = "SHIFT" then "STANDARD" else null,Replacer.ReplaceValue,{"Value"}),
    #"Pivoted Column" = Table.Pivot(#"Replaced Value", List.Distinct(#"Replaced Value"[Attribute]), "Attribute", "Value")
in
    #"Pivoted Column"

    Best Regards,
    Gao
    Community Support Team

     

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    • BiscuitKen's avatar
      BiscuitKen
      Frequent Visitor
      2 years ago

      Hi Anonymous 

      Thank you for your solution but I'm afraid it's not suitable for my senario.  There are no null values to update prior to the pivot.  The null values appear after the pivot as a row may not contain a value for all columns whereas other row my contain a value.