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rohitjmd
Helper II
Helper II

Stack data in power bi

hello, 

I am trying to stack data through data modeling. below is the scenerio. it wolud be greast help to me if anybody could suggest how to get the desired ouptut through Query/Dax. file attached https://1drv.ms/x/s!AqSgJWIdQo7TjDWaa1bYPYvHEBkq?e=h807Cx

image.png

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

Hi @rohitjmd ,

 

Choose the Respid and category column in power query and unpivot other columns. Then rename the columns to get the excepted result.

Capture.PNG2.PNG

 

M code for your reference.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("fZG5EcMgEEV7IVbA3ktouwxG/bdhLsvAyJ5hIx7/WHIOlJjdOBzhUQbKSJnvOY8cgMUFfDD4g2E2ru+f1wUN+sMQgSr6wlQlnhg0dHJaGB1al1dSVqperyVHV8Kug8DoeMNIU2uMYAKJi5dteUAZOfLC+J5HySytOnvmsh4XpbFDmlym7okcCP8zZqB4111bt97ditVd996u5fGYVOPwiuPvJ6/zDQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Respid = _t, Category = _t, Q1 = _t, Q2 = _t, Q3 = _t, Q4 = _t, Q5 = _t, Q6 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Respid", Int64.Type}, {"Category", type text}, {"Q1", Int64.Type}, {"Q2", Int64.Type}, {"Q3", Int64.Type}, {"Q4", Int64.Type}, {"Q5", Int64.Type}, {"Q6", Int64.Type}}),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Category", "Respid"}, "Attribute", "Value"),
    #"Renamed Columns" = Table.RenameColumns(#"Unpivoted Other Columns",{{"Attribute", "Question"}, {"Value", "Answer"}})
in
    #"Renamed Columns"

 

 

 

Community Support Team _ Frank
If this post helps, then please consider Accept it as the solution to help the others find it more quickly.

View solution in original post

3 REPLIES 3
v-frfei-msft
Community Support
Community Support

Hi @rohitjmd ,

 

Choose the Respid and category column in power query and unpivot other columns. Then rename the columns to get the excepted result.

Capture.PNG2.PNG

 

M code for your reference.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("fZG5EcMgEEV7IVbA3ktouwxG/bdhLsvAyJ5hIx7/WHIOlJjdOBzhUQbKSJnvOY8cgMUFfDD4g2E2ru+f1wUN+sMQgSr6wlQlnhg0dHJaGB1al1dSVqperyVHV8Kug8DoeMNIU2uMYAKJi5dteUAZOfLC+J5HySytOnvmsh4XpbFDmlym7okcCP8zZqB4111bt97ditVd996u5fGYVOPwiuPvJ6/zDQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Respid = _t, Category = _t, Q1 = _t, Q2 = _t, Q3 = _t, Q4 = _t, Q5 = _t, Q6 = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Respid", Int64.Type}, {"Category", type text}, {"Q1", Int64.Type}, {"Q2", Int64.Type}, {"Q3", Int64.Type}, {"Q4", Int64.Type}, {"Q5", Int64.Type}, {"Q6", Int64.Type}}),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Category", "Respid"}, "Attribute", "Value"),
    #"Renamed Columns" = Table.RenameColumns(#"Unpivoted Other Columns",{{"Attribute", "Question"}, {"Value", "Answer"}})
in
    #"Renamed Columns"

 

 

 

Community Support Team _ Frank
If this post helps, then please consider Accept it as the solution to help the others find it more quickly.

Thanks Guys

sturlaws
Resident Rockstar
Resident Rockstar

After you have imported the data into Power BI Desktop, click on "Edit queries" in the Home-ribbon.

 

Mark the columns Respid and Category:
p1.PNG

 

Go to transform-ribbon, and click on the small arrow next to "Unpivot columns":
p2.PNG

 

and select "unpivot other columns". Now rename columns appropriatly,

 

br,

S

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