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
GRT
Regular Visitor

Traspose some columns as rows

I have a table like this in power query

               ID                 MES_ID                            UNITS                           GENDER

               61                           202003                  2                                            M                                

               61                           202003                  6                                            W           

 

And I need to transform my data into     

 ID                 MES_ID                            GENDER_M        GENDER_W

 61                           202003                  2                                   6                              

Thanks

 

How I can achieve this behabiour with power query editor?

 

Thanks               

              

1 ACCEPTED SOLUTION
Greg_Deckler
Super User
Super User

Just pivot your GENDER column and don't aggregate.

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjNU0lEyMjAyMDAGMYDYVylWB13cDIjDlWJjAQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [ID = _t, MES_ID = _t, UNITS = _t, GENDER = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", Int64.Type}, {"MES_ID", Int64.Type}, {"UNITS", Int64.Type}, {"GENDER", type text}}),
    #"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[GENDER]), "GENDER", "UNITS")
in
    #"Pivoted Column"

@ 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!:
The Definitive Guide to Power Query (M)

DAX is easy, CALCULATE makes DAX hard...

View solution in original post

2 REPLIES 2
amitchandak
Super User
Super User

Create two new measure like

GENDER_M  =calculate(sum(table[unit]),table[GENDER] ="M")
GENDER_W = calculate(sum(table[unit]),table[GENDER] ="W")

 

Appreciate your Kudos.

Greg_Deckler
Super User
Super User

Just pivot your GENDER column and don't aggregate.

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjNU0lEyMjAyMDAGMYDYVylWB13cDIjDlWJjAQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [ID = _t, MES_ID = _t, UNITS = _t, GENDER = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", Int64.Type}, {"MES_ID", Int64.Type}, {"UNITS", Int64.Type}, {"GENDER", type text}}),
    #"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[GENDER]), "GENDER", "UNITS")
in
    #"Pivoted Column"

@ 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!:
The Definitive Guide to Power Query (M)

DAX is easy, CALCULATE makes DAX hard...

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.