Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowJuly 7 - July 17 | Round 2 of the Power BI Dataviz World Championships. Don't miss your chance! Learn more
Hi all,
I got to transform duplciated category rows into columns using:
= Table.Group(Source, {"ID", "ORDER"}, {{"CATEGORY", each Text.Combine([CATEGORY], ","), type nullable text}})
then split the CATEGORY column
Starting dataset (Dummy data)
I get everything scrambled
I would like to order the different categories by columns as follows
| ID | ORDER | MOBILE | SOUND |
| 008328 | 810079 | Phone | Headset |
| 008794 | 810078 | Phone | null |
| 008560 | 810077 | null | Headset |
Any idea is welcome
Cheers
Why not make it easy for someone to help you by providing your dummy data as text which can be easily copy/pasted into Excel or Power BI? Your screenshot is not particularly useful, although you might find someone willing to take the time to transcribe it, you'll probably get more responses if you make it easier.
Also, I do not see in your data any method to decide which column the different listed categories should go into.
In other words, how do we know which are "mobile" and which are "sound"?
Hi @ronrsnfld,
Fair enough but I didn't realize the "dummy data" would be a big deal, maybe I need reformulate the question:
How do I order the data get the same sequence before transforming it?
Cheers,
Hi, @KelvinMorel
let
Source = your_table,
g = Table.Group(Source, {"ID", "ORDER"}, {{"all", each [a = List.Distinct([MOBILE]), b = Record.FromList(a, a)][b]}}),
expand = Table.ExpandRecordColumn(g, "all", List.Distinct(Source[MOBILE]))
in
expand
you may rename columns later.
One way would be by using the Table.Group function.
Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.
Join Fabric Data Days 2026: 60 days of free live/on-demand sessions, challenges, study groups, and certification opportunities.
| User | Count |
|---|---|
| 8 | |
| 5 | |
| 5 | |
| 4 | |
| 4 |