Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.

Reply
vw_golf_mk3
Helper I
Helper I

Power Query Transformation

Hi peeps,

 

Can anyone please help in solving a little tranformation challenge that I am facing as shown below by using Power BI/Query?

DataTransformation.jpg

 Thanks,

 

 

3 ACCEPTED SOLUTIONS
Thejeswar
Resident Rockstar
Resident Rockstar

Try Using the following M-Query for this purpose

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUUpUitWBsJLgrGQwywguBmKlgFnGEFYsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [id = _t, roi = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"id", Int64.Type}, {"roi", type text}}),
    Partition = Table.Group(#"Changed Type", {"id"}, {{"Partition", each Table.AddIndexColumn(_, "Index",1,1), type table}}),
    #"Expanded Partition" = Table.ExpandTableColumn(Partition, "Partition", {"roi", "Index"}, {"roi", "Index"}),
    #"Added Custom" = Table.AddColumn(#"Expanded Partition", "Custom", each if [Index] = 1 then "roi1" else if [Index] = 2 then "roi2" else "roi3")
in
    #"Added Custom"

The Output is as shown below

roi.PNG

 

 

 

View solution in original post

Iamnvt
Continued Contributor
Continued Contributor

you can try the following as well.

 

let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    #"Added Custom" = Table.AddColumn(Source, "Custom", each "roi"),
    #"Changed Type" = Table.TransformColumnTypes(#"Added Custom",{{"id", type text}, {"roi", type text}, {"Custom", type text}}),
    Group_index = Table.Group(#"Changed Type", {"id"}, {{"index", each Table.AddIndexColumn(_, "Index",1,1), type table}}),
    #"Expanded index" = Table.ExpandTableColumn(Group_index, "index", {"roi", "Custom", "Index"}, {"roi", "Custom", "Index.1"}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Expanded index",{{"roi", type text}, {"Custom", type text}, {"Index.1", type text}}),
    #"Added Custom1" = Table.AddColumn(#"Changed Type1", "Custom.1", each [Custom]&[Index.1]),
    #"Removed Columns" = Table.RemoveColumns(#"Added Custom1",{"Custom", "Index.1"}),
    #"Pivoted Column" = Table.Pivot(#"Removed Columns", List.Distinct(#"Removed Columns"[Custom.1]), "Custom.1", "roi")
in
    #"Pivoted Column"

Br, T

View solution in original post

v-yulgu-msft
Employee
Employee

Hi @vw_golf_mk3,

 

Please refer to Iamnvt's solution which can be achieved easily by GUI.

 

Group data based on id column.

1.PNG

 

Then, make a little modification to the highlighted code. And expand the "all data" field.

2.PNG

 

Choose "Index" column then pivot table.

3.PNG

 

4.PNG

 

Best regards,

Yuliana Gu

Community Support Team _ Yuliana Gu
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

4 REPLIES 4
v-yulgu-msft
Employee
Employee

Hi @vw_golf_mk3,

 

Please refer to Iamnvt's solution which can be achieved easily by GUI.

 

Group data based on id column.

1.PNG

 

Then, make a little modification to the highlighted code. And expand the "all data" field.

2.PNG

 

Choose "Index" column then pivot table.

3.PNG

 

4.PNG

 

Best regards,

Yuliana Gu

Community Support Team _ Yuliana Gu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Thejeswar
Resident Rockstar
Resident Rockstar

Try Using the following M-Query for this purpose

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUUpUitWBsJLgrGQwywguBmKlgFnGEFYsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [id = _t, roi = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"id", Int64.Type}, {"roi", type text}}),
    Partition = Table.Group(#"Changed Type", {"id"}, {{"Partition", each Table.AddIndexColumn(_, "Index",1,1), type table}}),
    #"Expanded Partition" = Table.ExpandTableColumn(Partition, "Partition", {"roi", "Index"}, {"roi", "Index"}),
    #"Added Custom" = Table.AddColumn(#"Expanded Partition", "Custom", each if [Index] = 1 then "roi1" else if [Index] = 2 then "roi2" else "roi3")
in
    #"Added Custom"

The Output is as shown below

roi.PNG

 

 

 

@Thejeswar That's great.

 

Is it possible to achieve this via GUI (clicking)?

 

Cheers,

Iamnvt
Continued Contributor
Continued Contributor

you can try the following as well.

 

let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    #"Added Custom" = Table.AddColumn(Source, "Custom", each "roi"),
    #"Changed Type" = Table.TransformColumnTypes(#"Added Custom",{{"id", type text}, {"roi", type text}, {"Custom", type text}}),
    Group_index = Table.Group(#"Changed Type", {"id"}, {{"index", each Table.AddIndexColumn(_, "Index",1,1), type table}}),
    #"Expanded index" = Table.ExpandTableColumn(Group_index, "index", {"roi", "Custom", "Index"}, {"roi", "Custom", "Index.1"}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Expanded index",{{"roi", type text}, {"Custom", type text}, {"Index.1", type text}}),
    #"Added Custom1" = Table.AddColumn(#"Changed Type1", "Custom.1", each [Custom]&[Index.1]),
    #"Removed Columns" = Table.RemoveColumns(#"Added Custom1",{"Custom", "Index.1"}),
    #"Pivoted Column" = Table.Pivot(#"Removed Columns", List.Distinct(#"Removed Columns"[Custom.1]), "Custom.1", "roi")
in
    #"Pivoted Column"

Br, T

Helpful resources

Announcements
Microsoft Fabric Learn Together

Microsoft Fabric Learn Together

Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City

PBI_APRIL_CAROUSEL1

Power BI Monthly Update - April 2024

Check out the April 2024 Power BI update to learn about new features.

April Fabric Community Update

Fabric Community Update - April 2024

Find out what's new and trending in the Fabric Community.