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
Adairene
Frequent Visitor

Power Query / Power BI Transform Data problem: every new item under a category into its own column?

Hello!

 

Please help! Is there any way I can do the following in Power Query / Power BI's Transform Data?

 

Column1Column2Column3
A1X
A1Y
A1Z
B1X
C1

X

 

into

 

Column1Column2Column3Column4Column5Column6
A1XXYZ
A1YXYZ
A1ZXYZ
B1XXXX
C1XXXX

 

So every new occurence (X, Y Z) under a certain category (A) should go to its own column?

 

Thank you in advance!

1 ACCEPTED SOLUTION
edhans
Super User
Super User

@Adairene - this will get you most of what you want:

edhans_0-1607977149616.png

becomes this:

edhans_1-1607977225066.png

The issue is, for B/C, where there were no values to expand, it would need to figure out how many times to replicate that value.

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTIE4gilWB0ELxKFFwXmOaGodEbwYgE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t]),
    #"Grouped Rows" = Table.Group(Source, {"Column1", "Column2"}, {{"All Rows", each _, type table [Column1=nullable text, Column2=nullable text, Column3=nullable text]}}),
    #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Column3 Expansion", each [All Rows][Column3]),
    #"Extracted Values" = Table.TransformColumns(#"Added Custom", {"Column3 Expansion", each Text.Combine(List.Transform(_, Text.From), ":"), type text}),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Extracted Values", "Column3 Expansion", Splitter.SplitTextByDelimiter(":", QuoteStyle.Csv), {"Column3 Expansion.1", "Column3 Expansion.2", "Column3 Expansion.3"}),
    #"Removed Other Columns" = Table.SelectColumns(#"Split Column by Delimiter",{"All Rows", "Column3 Expansion.1", "Column3 Expansion.2", "Column3 Expansion.3"}),
    #"Expanded All Rows" = Table.ExpandTableColumn(#"Removed Other Columns", "All Rows", {"Column1", "Column2", "Column3"}, {"Column1", "Column2", "Column3"}),
    #"Transposed Table" = Table.Transpose(#"Expanded All Rows"),
    #"Transposed Table1" = Table.Transpose(#"Transposed Table")
in
    #"Transposed Table1"

There is no Fill Right feature. There is a fill down, but even transposing the table to do that would cause issues as the number of columns to fill down becomes dynamic as well. I would need to understand a bit more about the logic of what you are doing. You seem to be denormalizing the data,which is unusual for Power BI.

 

How to use M code provided in a blank query:
1) In Power Query, select New Source, then Blank Query
2) On the Home ribbon, select "Advanced Editor" button
3) Remove everything you see, then paste the M code I've given you in that box.
4) Press Done
5) See this article if you need help using this M code in your model.

 

 



Did I answer your question? Mark my post as a solution!
Did my answers help arrive at a solution? Give it a kudos by clicking the Thumbs Up!

DAX is for Analysis. Power Query is for Data Modeling


Proud to be a Super User!

MCSA: BI Reporting

View solution in original post

4 REPLIES 4
edhans
Super User
Super User

Glad I was able to help @Adairene 



Did I answer your question? Mark my post as a solution!
Did my answers help arrive at a solution? Give it a kudos by clicking the Thumbs Up!

DAX is for Analysis. Power Query is for Data Modeling


Proud to be a Super User!

MCSA: BI Reporting
Adairene
Frequent Visitor

Thank you so much @edhans, this got me where I wanted to be! 🙂

edhans
Super User
Super User

@Adairene - this will get you most of what you want:

edhans_0-1607977149616.png

becomes this:

edhans_1-1607977225066.png

The issue is, for B/C, where there were no values to expand, it would need to figure out how many times to replicate that value.

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTIE4gilWB0ELxKFFwXmOaGodEbwYgE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t]),
    #"Grouped Rows" = Table.Group(Source, {"Column1", "Column2"}, {{"All Rows", each _, type table [Column1=nullable text, Column2=nullable text, Column3=nullable text]}}),
    #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Column3 Expansion", each [All Rows][Column3]),
    #"Extracted Values" = Table.TransformColumns(#"Added Custom", {"Column3 Expansion", each Text.Combine(List.Transform(_, Text.From), ":"), type text}),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Extracted Values", "Column3 Expansion", Splitter.SplitTextByDelimiter(":", QuoteStyle.Csv), {"Column3 Expansion.1", "Column3 Expansion.2", "Column3 Expansion.3"}),
    #"Removed Other Columns" = Table.SelectColumns(#"Split Column by Delimiter",{"All Rows", "Column3 Expansion.1", "Column3 Expansion.2", "Column3 Expansion.3"}),
    #"Expanded All Rows" = Table.ExpandTableColumn(#"Removed Other Columns", "All Rows", {"Column1", "Column2", "Column3"}, {"Column1", "Column2", "Column3"}),
    #"Transposed Table" = Table.Transpose(#"Expanded All Rows"),
    #"Transposed Table1" = Table.Transpose(#"Transposed Table")
in
    #"Transposed Table1"

There is no Fill Right feature. There is a fill down, but even transposing the table to do that would cause issues as the number of columns to fill down becomes dynamic as well. I would need to understand a bit more about the logic of what you are doing. You seem to be denormalizing the data,which is unusual for Power BI.

 

How to use M code provided in a blank query:
1) In Power Query, select New Source, then Blank Query
2) On the Home ribbon, select "Advanced Editor" button
3) Remove everything you see, then paste the M code I've given you in that box.
4) Press Done
5) See this article if you need help using this M code in your model.

 

 



Did I answer your question? Mark my post as a solution!
Did my answers help arrive at a solution? Give it a kudos by clicking the Thumbs Up!

DAX is for Analysis. Power Query is for Data Modeling


Proud to be a Super User!

MCSA: BI Reporting
AlB
Super User
Super User

Hi @Adairene 

You'll have to explain a bit more the logic behind the transformation. I don't understand how you get from one table to the other

Please mark the question solved when done and consider giving a thumbs up if posts are helpful.

Contact me privately for support with any larger-scale BI needs, tutoring, etc.

Cheers 

SU18_powerbi_badge

 

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.

Top Solution Authors
Top Kudoed Authors