Advance your Data & AI career with 50 days of live learning, dataviz contests, hands-on challenges, study groups & certifications and more!
Get registeredGet Fabric Certified for FREE during Fabric Data Days. Don't miss your chance! Request now
Hi Power Query gurus!
I am struggling with the following case:
Case
I want to transpose the source table so that all vehicleIds for each group is on the same row. Is that possible to do with power query? (I guss if it is, its really simple 🙂 But I cant find a sollution in splendid isolation)
Here is my example data: https://drive.google.com/file/d/1OTOcq8U32qeGiynUkoYoIc0_7XWkvHCr/view?usp=sharing
Best regards
Trond Erik
Solved! Go to Solution.
if you allow me to break your isolation, I would propose this idea to you
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUUo0VIrVgTCTEMxkCNMIpMAIzkxCMJOBzFgA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [id = _t, veic = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"id", Int64.Type}, {"veic", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"id"}, {{"vehic", each _[veic]}}),
#"Extracted Values" = Table.TransformColumns(#"Grouped Rows", {"vehic", each Text.Combine(List.Transform(_, Text.From), ","), type text}),
#"Split Column by Delimiter" = Table.SplitColumn(#"Extracted Values", "vehic", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"vehic.1", "vehic.2", "vehic.3"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"vehic.1", type text}, {"vehic.2", type text}, {"vehic.3", type text}})
in
#"Changed Type1"
if you allow me to break your isolation, I would propose this idea to you
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUUo0VIrVgTCTEMxkCNMIpMAIzkxCMJOBzFgA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [id = _t, veic = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"id", Int64.Type}, {"veic", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"id"}, {{"vehic", each _[veic]}}),
#"Extracted Values" = Table.TransformColumns(#"Grouped Rows", {"vehic", each Text.Combine(List.Transform(_, Text.From), ","), type text}),
#"Split Column by Delimiter" = Table.SplitColumn(#"Extracted Values", "vehic", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"vehic.1", "vehic.2", "vehic.3"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"vehic.1", type text}, {"vehic.2", type text}, {"vehic.3", type text}})
in
#"Changed Type1"
Thx for helping me out of my isolation 🙂
I knew the solution was simple, it always is with power query!
Best regards
Trond Erik
Check out the November 2025 Power BI update to learn about new features.
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!
| User | Count |
|---|---|
| 7 | |
| 7 | |
| 5 | |
| 4 | |
| 3 |
| User | Count |
|---|---|
| 16 | |
| 14 | |
| 14 | |
| 10 | |
| 9 |