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Anonymous
Not applicable

Interchanging the rows and columns values

I am having the excel spreadsheet data in below format.

Exisiting input.PNG

The expected data format shown below to perform required visulizations.

Expected.PNG

 

 

 

How to interchange column and row values in Power BI ?

Is it possible ?? 

 

1 ACCEPTED SOLUTION

This seems to work:

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCshJzMtLTVHSUTI0AhHGIMIURJgBCSNTpVidaCXXitTk0hKwKnMgtgBiSyAGqYAoCEgsLoYKgBQYGoAIQ4h5IHm3xMwcqJwZVDPMpthYAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Column1 = _t, #"1/1/2019" = _t, #"1/2/2019" = _t, #"1/3/2019" = _t, #"1/4/2019" = _t, #"1/5/2019" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}, {"1/1/2019", Int64.Type}, {"1/2/2019", Int64.Type}, {"1/3/2019", Int64.Type}, {"1/4/2019", Int64.Type}, {"1/5/2019", Int64.Type}}),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Column1"}, "Attribute", "Value"),
    #"Pivoted Column" = Table.Pivot(#"Unpivoted Columns", List.Distinct(#"Unpivoted Columns"[Column1]), "Column1", "Value")
in
    #"Pivoted Column"


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View solution in original post

3 REPLIES 3
Greg_Deckler
Super User
Super User

Try the Transpose option in Power Query



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Instead of a Kudo, please vote for this idea
Become an expert!: Enterprise DNA
External Tools: MSHGQM
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Latest book!:
Power BI Cookbook Third Edition (Color)

DAX is easy, CALCULATE makes DAX hard...
Anonymous
Not applicable

It's not helpful. After applying the Transpose option in Power Query the data is looks like below.

col1           col2           col3        col4

PlannedExecutedPassFail
22767
42878
209109
2861113
2551315

This seems to work:

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCshJzMtLTVHSUTI0AhHGIMIURJgBCSNTpVidaCXXitTk0hKwKnMgtgBiSyAGqYAoCEgsLoYKgBQYGoAIQ4h5IHm3xMwcqJwZVDPMpthYAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Column1 = _t, #"1/1/2019" = _t, #"1/2/2019" = _t, #"1/3/2019" = _t, #"1/4/2019" = _t, #"1/5/2019" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}, {"1/1/2019", Int64.Type}, {"1/2/2019", Int64.Type}, {"1/3/2019", Int64.Type}, {"1/4/2019", Int64.Type}, {"1/5/2019", Int64.Type}}),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Column1"}, "Attribute", "Value"),
    #"Pivoted Column" = Table.Pivot(#"Unpivoted Columns", List.Distinct(#"Unpivoted Columns"[Column1]), "Column1", "Value")
in
    #"Pivoted Column"


Follow on LinkedIn
@ me in replies or I'll lose your thread!!!
Instead of a Kudo, please vote for this idea
Become an expert!: Enterprise DNA
External Tools: MSHGQM
YouTube Channel!: Microsoft Hates Greg
Latest book!:
Power BI Cookbook Third Edition (Color)

DAX is easy, CALCULATE makes DAX hard...

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