Forum Discussion

JillHenninger's avatar
JillHenninger
Helper I
5 years ago
Solved

Pivot Multiple Measures

Hi all

Try as I might - I'm not figuring out a work-around for my scenario. I've pivoted and unpivoted data, but with less complexity. This current data set has 25+ measures like this:

 

 

For whatever reason, the data comes in with Current and year Ago in that TimeSet column.

 

Based on how I've used data in the past, this is how I'd assume I'd want it:

 

 

 

A) I can't figure out how I'd pivot those 25 columns. B) Is that even the right way to think about it? Or is it easier to create measures using TimeSet as a Filter.

 

I'd appreciate some thoughts on it!

Thanks!

Need Help
  • v-alq-msft's avatar
    v-alq-msft
    5 years ago

    Hi, JillHenninger 

     

    Based on your description, I created data to reproduce your scenario. The pbix file is attached in the end.

    Table:

     

    You may apply the following transformations in the Power Query.

    1. Unpivot 'M1', 'M2', 'M3', 'M4', 'M5', 'M6', 'M7'.

     

     

    2. Merge 'Timeset' and 'Attribute' columns.

     

    3. Pivot 'Merged' column and set the value column as 'Value' column.

     

    Here are the m codes in 'Advanced Editor'.

     

    let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcszJUdJRCs7PTUVQEDEI6VxaVJSaVwJkGQKxERAbA7EJEJsCsRkQmyvF6qCZg2wAVCgyNbFIwTE9H6chIAsQBmExAd092I0AGQ8yBrdLoBTCIOyGgCzAMAiLqUgew24IyAL8BmEGEXZTQDbExgIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [A1 = _t, A2 = _t, A3 = _t, A4 = _t, A5 = _t, Timeset = _t, M1 = _t, M2 = _t, M3 = _t, M4 = _t, M5 = _t, M6 = _t, M7 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"A1", type text}, {"A2", type text}, {"A3", type text}, {"A4", type text}, {"A5", type text}, {"Timeset", type text}, {"M1", Int64.Type}, {"M2", Int64.Type}, {"M3", Int64.Type}, {"M4", Int64.Type}, {"M5", Int64.Type}, {"M6", Int64.Type}, {"M7", Int64.Type}}),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"A1", "A2", "A3", "A4", "A5", "Timeset"}, "Attribute", "Value"),
    #"Merged Columns" = Table.CombineColumns(#"Unpivoted Columns",{"Timeset", "Attribute"},Combiner.CombineTextByDelimiter(" ", QuoteStyle.None),"Merged"),
    #"Pivoted Column" = Table.Pivot(#"Merged Columns", List.Distinct(#"Merged Columns"[Merged]), "Merged", "Value", List.Sum)
in
    #"Pivoted Column"

     

     

    Best Regards

    Allan

     

    If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

     

3 Replies

  • mahoneypat's avatar
    mahoneypat
    Microsoft Employee
    5 years ago

    Can you just use a matrix visual with that Timeset column in the Columns field well?

    Regards,

    Pat

  • amitchandak's avatar
    amitchandak
    Super User
    5 years ago

    JillHenninger , Can select timeset and all the measures after that and unpivot. I am assuming these are columns in the  table

     

    If not

    Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.

  • v-alq-msft's avatar
    v-alq-msft
    Community Support
    5 years ago

    Hi, JillHenninger 

     

    Based on your description, I created data to reproduce your scenario. The pbix file is attached in the end.

    Table:

     

    You may apply the following transformations in the Power Query.

    1. Unpivot 'M1', 'M2', 'M3', 'M4', 'M5', 'M6', 'M7'.

     

     

    2. Merge 'Timeset' and 'Attribute' columns.

     

    3. Pivot 'Merged' column and set the value column as 'Value' column.

     

    Here are the m codes in 'Advanced Editor'.

     

    let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcszJUdJRCs7PTUVQEDEI6VxaVJSaVwJkGQKxERAbA7EJEJsCsRkQmyvF6qCZg2wAVCgyNbFIwTE9H6chIAsQBmExAd092I0AGQ8yBrdLoBTCIOyGgCzAMAiLqUgew24IyAL8BmEGEXZTQDbExgIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [A1 = _t, A2 = _t, A3 = _t, A4 = _t, A5 = _t, Timeset = _t, M1 = _t, M2 = _t, M3 = _t, M4 = _t, M5 = _t, M6 = _t, M7 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"A1", type text}, {"A2", type text}, {"A3", type text}, {"A4", type text}, {"A5", type text}, {"Timeset", type text}, {"M1", Int64.Type}, {"M2", Int64.Type}, {"M3", Int64.Type}, {"M4", Int64.Type}, {"M5", Int64.Type}, {"M6", Int64.Type}, {"M7", Int64.Type}}),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"A1", "A2", "A3", "A4", "A5", "Timeset"}, "Attribute", "Value"),
    #"Merged Columns" = Table.CombineColumns(#"Unpivoted Columns",{"Timeset", "Attribute"},Combiner.CombineTextByDelimiter(" ", QuoteStyle.None),"Merged"),
    #"Pivoted Column" = Table.Pivot(#"Merged Columns", List.Distinct(#"Merged Columns"[Merged]), "Merged", "Value", List.Sum)
in
    #"Pivoted Column"

     

     

    Best Regards

    Allan

     

    If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.