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JillHenninger
Helper I
Helper I

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:

 

image.png

 

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:

image.png

 

 

 

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!

1 ACCEPTED SOLUTION
v-alq-msft
Community Support
Community Support

Hi, @JillHenninger 

 

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

Table:

a1.png

 

You may apply the following transformations in the Power Query.

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

 a2.png

 

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

a3.png

 

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

a4.png

 

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.

 

View solution in original post

3 REPLIES 3
v-alq-msft
Community Support
Community Support

Hi, @JillHenninger 

 

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

Table:

a1.png

 

You may apply the following transformations in the Power Query.

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

 a2.png

 

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

a3.png

 

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

a4.png

 

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.

 

View solution in original post

amitchandak
Super User IV
Super User IV

@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.



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mahoneypat
Super User IV
Super User IV

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

Regards,

Pat





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