Forum Discussion

bman6074's avatar
bman6074
Helper I
6 years ago
Solved

Transpose Table

Hi, Is there a way to transpose/pivot this (Current picture) table to (Transpose picture) So each name is across the top and the usage risk scores listed below? Then ultimatly I want to take highes...
Need Help
  • v-lid-msft's avatar
    v-lid-msft
    6 years ago

    Hi bman6074 ,

     

    We can transpose it by using "Transform" - "Povit Column" in Power Query Editor, then select maximum as aggreration function:

     

     

    Or we can append this step in your queries

    let
Source = Sql.Databases("database.power bi"),
Powerbi= Source{[Name="powerbi"]}[Data],
snow_AllRelationshipsKeyTable = powerbi{[Schema="snow",Item="AllRelationshipsKeyTable"]}[Data],
#"Changed Type" = Table.TransformColumnTypes(snow_AllRelationshipsKeyTable,{{"EOL", type date}, {"EOSL", type date}, {"LCS_GA", type date}}),
#"Removed Other Columns" = Table.SelectColumns(#"Changed Type",{"Name", "Usage_Risk_Score"}),
PivotStep = Table.Pivot(#"Removed Other Columns", List.Distinct(#"Changed Type"[Name]), "Name", "Usage_Risk_Score", List.Max)
in
PivotStep

     


    By the way, PBIX file as attached.


    Best regards,

     

  • v-lid-msft's avatar
    v-lid-msft
    6 years ago

    Hi bman6074 ,

     

    Please try to change the data type of Usage_Risk_Score column to whole number before unpivot,

     

     

    Or use the following query:

     

    let
Source = Sql.Databases("database.power bi"),
Powerbi= Source{[Name="powerbi"]}[Data],
snow_AllRelationshipsKeyTable = powerbi{[Schema="snow",Item="AllRelationshipsKeyTable"]}[Data],
#"Changed Type" = Table.TransformColumnTypes(snow_AllRelationshipsKeyTable,{{"EOL", type date}, {"EOSL", type date}, {"LCS_GA", type date}}),
#"Removed Other Columns" = Table.SelectColumns(#"Changed Type",{"Name", "Usage_Risk_Score"}),
ChangeType = Table.TransformColumnTypes(#"Removed Other Columns",{{"Name", type text}, {"Usage_Risk_Score", Int64.Type}}),
PivotStep = Table.Pivot(#"ChangeType", List.Distinct(#"Changed Type"[Name]), "Name", "Usage_Risk_Score", List.Max)
in
PivotStep

     


    Best regards,

camargos88's avatar
camargos88
Community Champion
6 years ago

Hi bman6074 ,

 

Try this code on Advanced Editor:

 

let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcixKzkgtUnAPclbSUcorzclRitXBI5pfrBAMlEopzcnMS1dwSSxJBCowhcgGeTo5oigvLkjNU3DJLC4pygzLTC1X0EXiABUaEaXK0ICwMoXggsSSzMQcBc+8ktSitMTkVISrSNYHsjAWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Name = _t, Usage_Risk_Score = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", type text}, {"Usage_Risk_Score", Int64.Type}}),
#"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[Name]), "Name", "Usage_Risk_Score", List.Max)
in
#"Pivoted Column"

 

Ricardo

  • bman6074's avatar
    bman6074
    Helper I
    6 years ago

    Hi Ricardo,

    thanks for replying.

    How do i add it to the current code in the advance editor?

     

    let
    Source = Sql.Databases("database.power bi"),
    Powerbi= Source{[Name="powerbi"]}[Data],
    snow_AllRelationshipsKeyTable = powerbi{[Schema="snow",Item="AllRelationshipsKeyTable"]}[Data],
    #"Changed Type" = Table.TransformColumnTypes(snow_AllRelationshipsKeyTable,{{"EOL", type date}, {"EOSL", type date}, {"LCS_GA", type date}}),
    #"Removed Other Columns" = Table.SelectColumns(#"Changed Type",{"Name", "Usage_Risk_Score"})
    in
    #"Removed Other Columns"

    • v-lid-msft's avatar
      v-lid-msft
      Community Support
      6 years ago

      Hi bman6074 ,

       

      We can transpose it by using "Transform" - "Povit Column" in Power Query Editor, then select maximum as aggreration function:

       

       

      Or we can append this step in your queries

      let
Source = Sql.Databases("database.power bi"),
Powerbi= Source{[Name="powerbi"]}[Data],
snow_AllRelationshipsKeyTable = powerbi{[Schema="snow",Item="AllRelationshipsKeyTable"]}[Data],
#"Changed Type" = Table.TransformColumnTypes(snow_AllRelationshipsKeyTable,{{"EOL", type date}, {"EOSL", type date}, {"LCS_GA", type date}}),
#"Removed Other Columns" = Table.SelectColumns(#"Changed Type",{"Name", "Usage_Risk_Score"}),
PivotStep = Table.Pivot(#"Removed Other Columns", List.Distinct(#"Changed Type"[Name]), "Name", "Usage_Risk_Score", List.Max)
in
PivotStep

       


      By the way, PBIX file as attached.


      Best regards,

       

      • bman6074's avatar
        bman6074
        Helper I
        6 years ago

        Hi Community Support Team _ Dong Li

        Thanks for the reply. Unfortunatly that doesn't acheive what I need. Its not ending with highest value in the list of usage risk score. 

        For example the Advantex Gas modile has 4 scores and 2 are 10. Result should end with highest value which would be 10 but it ended up with 5