This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreLevel up your Power BI skills this month - build one visual each week and tell better stories with data! Get started
I have the below sample data in excel.(Either one)
| Part | A |
| 1 | name |
| 2 | namee |
| 3 | nameee |
| Part | B |
| 1 | value |
| 2 | valuee |
| 3 | valueee |
| 4 | valueeee |
| Part | C |
| 1 | key |
| 2 | keyy |
or
| Part | 1 | 2 | 3 | |
| A | name | namee | nameee | |
| Part | 1 | 2 | 3 | 4 |
| B | value | valuee | valueee | valueeee |
| Part | 1 | 2 | ||
| C | key | keyy |
I wanna convert this into below format(Either one)
| Part | A | B | C |
| 1 | name | value | key |
| 2 | namee | valuee | keyy |
| 3 | nameee | valueee | |
| 4 | valueeee |
|
or
| Part | 1 | 2 | 3 | 4 |
| A | name | namee | nameee | |
| B | value | valuee | valueee | valueeee |
| C | key | keyy |
Solved! Go to Solution.
Hi @Maheshwari ,
you need to add a column that identifies the group and then pivot on it:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCkgsKlHSUXJUitWJVjIEsvISc1PBHCMoB8IzhvEgXKg2J7i2ssScUoQ+MA+hEcKF8E0QfBSjnOFGZadWwg0CsoGcWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Column1" = _t, #"Column2" = _t]),
#"Added Custom" = Table.AddColumn(Source, "GroupIdentifier", each if [Column1] = "Part" then [Column2] else null),
#"Filled Down" = Table.FillDown(#"Added Custom",{"GroupIdentifier"}),
#"Filtered Rows" = Table.SelectRows(#"Filled Down", each ([Column1] <> "Part")),
#"Pivoted Column" = Table.Pivot(#"Filtered Rows", List.Distinct(#"Filtered Rows"[GroupIdentifier]), "GroupIdentifier", "Column2")
in
#"Pivoted Column"
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
let
Origine = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCkgsKlHSUXJUitWJVjIEsvISc1PBHCMoB8IzhvEgXKg2J7i2ssScUoQ+MA+hEcKF8E0QfBSjnOFGZadWwg0CsoGcWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Colonna1 = _t, Colonna2 = _t]),
posPart=List.PositionOf(Origine[Colonna1],"Part",Occurrence.All)&{List.Count(Origine[Colonna2])},
splc2=List.Transform({0..List.Count(posPart)-2}, each List.Range(Origine[Colonna2],posPart{_},posPart{_+1}-posPart{_})),
tfc=Table.FromColumns(splc2),
#"Intestazioni alzate di livello" = Table.PromoteHeaders(tfc, [PromoteAllScalars=true])
in
#"Intestazioni alzate di livello"
let
Origine = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCkgsKlHSUXJUitWJVjIEsvISc1PBHCMoB8IzhvEgXKg2J7i2ssScUoQ+MA+hEcKF8E0QfBSjnOFGZadWwg0CsoGcWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Colonna1 = _t, Colonna2 = _t]),
grp = Table.Group(Origine, {"Colonna1"}, {{"part", each _[Colonna2]}, {"row", each _[Colonna1]}}, GroupKind.Local, (x,y)=>Number.From(y=x) ),
prt=List.Max(grp[row],null, List.Count),
tfc=Table.FromColumns({prt}&grp[part]),
#"Intestazioni alzate di livello" = Table.PromoteHeaders(tfc, [PromoteAllScalars=true])
in
#"Intestazioni alzate di livello"
let
Origine = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCkgsKlHSUXJUitWJVjIEsvISc1PBHCMoB8IzhvEgXKg2J7i2ssScUoQ+MA+hEcKF8E0QfBSjnOFGZadWwg0CsoGcWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Colonna1 = _t, Colonna2 = _t]),
posPart=List.PositionOf(Origine[Colonna1],"Part",Occurrence.All)&{List.Count(Origine[Colonna2])},
splc2=List.Transform({0..List.Count(posPart)-2}, each List.Range(Origine[Colonna2],posPart{_},posPart{_+1}-posPart{_})),
tfc=Table.FromColumns(splc2),
#"Intestazioni alzate di livello" = Table.PromoteHeaders(tfc, [PromoteAllScalars=true])
in
#"Intestazioni alzate di livello"
Hi @Maheshwari ,
you need to add a column that identifies the group and then pivot on it:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCkgsKlHSUXJUitWJVjIEsvISc1PBHCMoB8IzhvEgXKg2J7i2ssScUoQ+MA+hEcKF8E0QfBSjnOFGZadWwg0CsoGcWAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Column1" = _t, #"Column2" = _t]),
#"Added Custom" = Table.AddColumn(Source, "GroupIdentifier", each if [Column1] = "Part" then [Column2] else null),
#"Filled Down" = Table.FillDown(#"Added Custom",{"GroupIdentifier"}),
#"Filtered Rows" = Table.SelectRows(#"Filled Down", each ([Column1] <> "Part")),
#"Pivoted Column" = Table.Pivot(#"Filtered Rows", List.Distinct(#"Filtered Rows"[GroupIdentifier]), "GroupIdentifier", "Column2")
in
#"Pivoted Column"
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.