Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
Learn moreJoin the FabCon + SQLCon recap series. Up next: Power BI, Real-Time Intelligence, IQ and AI, and Data Factory take center stage. All sessions are available on-demand after the live show. Register now
Good morning, I need to convert a table into a power query editor as follows:
Initial table:
| null | null | mes1 | mes1 | mes2 | mes2 | mes3 | mes3 |
| null | null | first fortnight | second fortnight | first fortnight | second fortnight | first fortnight | second fortnight |
| person 1 | tipo1 | 1 | 2 | 3 | 4 | 5 | 6 |
| persona1 | tipo2 | 5 | 8 | 4 | 3 | 8 | 25 |
| person 2 | tipo1 | 1 | 2 | 3 | 4 | 5 | 6 |
| persona2 | tipo2 | 5 | 8 | 4 | 3 | 8 | 25 |
| person 3 | tipo1 | 1 | 2 | 3 | 4 | 5 | 6 |
| persona3 | tipo2 | 5 | 8 | 4 | 3 | 8 | 25 |
Table to get:
| person | guy | my | fortnight | value |
| persona1 | tipo1 | mes1 | first fortnight | 1 |
| persona1 | tipo1 | mes1 | second fortnight | 2 |
| persona1 | tipo1 | mes2 | first fortnight | 3 |
| persona1 | tipo1 | mes2 | second fortnight | 4 |
| persona1 | tipo1 | mes3 | first fortnight | 5 |
| persona1 | tipo1 | mes3 | second fortnight | 6 |
| persona1 | tipo2 | mes1 | first fortnight | 5 |
| persona1 | tipo2 | mes1 | second fortnight | 8 |
| persona1 | tipo2 | mes2 | first fortnight | 4 |
| persona1 | tipo2 | mes2 | second fortnight | 3 |
| persona1 | tipo2 | mes3 | first fortnight | 8 |
| persona1 | tipo2 | mes3 | second fortnight | 25 |
| persona2 | tipo1 | mes1 | first fortnight | 1 |
| persona2 | tipo1 | mes1 | second fortnight | 2 |
| persona2 | tipo1 | mes2 | first fortnight | 3 |
| persona2 | tipo1 | mes2 | second fortnight | 4 |
| persona2 | tipo1 | mes3 | first fortnight | 5 |
| persona2 | tipo1 | mes3 | second fortnight | 6 |
| persona2 | tipo2 | mes1 | first fortnight | 5 |
| persona2 | tipo2 | mes1 | second fortnight | 8 |
| persona2 | tipo2 | mes2 | first fortnight | 4 |
| persona2 | tipo2 | mes2 | second fortnight | 3 |
| persona2 | tipo2 | mes3 | first fortnight | 8 |
| persona2 | tipo2 | mes3 | second fortnight | 25 |
| persona3 | tipo1 | mes1 | first fortnight | 1 |
| persona3 | tipo1 | mes1 | second fortnight | 2 |
| persona3 | tipo1 | mes2 | first fortnight | 3 |
| persona3 | tipo1 | mes2 | second fortnight | 4 |
| persona3 | tipo1 | mes3 | first fortnight | 5 |
| persona3 | tipo1 | mes3 | second fortnight | 6 |
| persona3 | tipo2 | mes1 | first fortnight | 5 |
| persona3 | tipo2 | mes1 | second fortnight | 8 |
| persona3 | tipo2 | mes2 | first fortnight | 4 |
| persona3 | tipo2 | mes2 | second fortnight | 3 |
| persona3 | tipo2 | mes3 | first fortnight | 8 |
| persona3 | tipo2 | mes3 | second fortnight | 25 |
I hope I have explained myself.
Thank you very much in advance
Solved! Go to Solution.
@Syndicate_Admin
Create a blank Query, go to the Advanced Editor, clear the existing code, and paste the codes give below and follow the steps.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WyivNyVHSgVG5qcWGKJQRCmUMo2J10HWmZRYVlyik5ReV5GWmZ5QARYpTk/PzUlCEqKUIZH1BalFxfp4CyJ0lmQX5IBqEQS4FOdMEiE2B2AxJcSJMsRFU0gKq0BjKNjJFNtqIFKONSDLamBSjjYkwOhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t, Column6 = _t, Column7 = _t, Column8 = _t]),
#"Transposed Table" = Table.Transpose(Source),
#"Merged Columns" = Table.CombineColumns(#"Transposed Table",{"Column1", "Column2"},Combiner.CombineTextByDelimiter("|", QuoteStyle.None),"Merged"),
#"Transposed Table1" = Table.Transpose(#"Merged Columns"),
#"Promoted Headers" = Table.PromoteHeaders(#"Transposed Table1", [PromoteAllScalars=true]),
#"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"null|null", type text}, {"null|null_1", type text}, {"mes1|first fortnight", Int64.Type}, {"mes1|second fortnight", Int64.Type}, {"mes2|first fortnight", Int64.Type}, {"mes2|second fortnight", Int64.Type}, {"mes3|first fortnight", Int64.Type}, {"mes3|second fortnight", Int64.Type}}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"null|null", "null|null_1"}, "Attribute", "Value"),
#"Split Column by Delimiter" = Table.SplitColumn(#"Unpivoted Other Columns", "Attribute", Splitter.SplitTextByDelimiter("|", QuoteStyle.Csv), {"Attribute.1", "Attribute.2"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Attribute.1", type text}, {"Attribute.2", type text}}),
#"Renamed Columns" = Table.RenameColumns(#"Changed Type1",{{"null|null", "Person"}, {"null|null_1", "Guy"}, {"Attribute.1", "My"}, {"Attribute.2", "Fortnight"}})
in
#"Renamed Columns"
Watch my video on this topic : https://www.youtube.com/watch?v=_YjFGsS9lNY&t=0s
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
Thank you so much
@Syndicate_Admin
Create a blank Query, go to the Advanced Editor, clear the existing code, and paste the codes give below and follow the steps.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WyivNyVHSgVG5qcWGKJQRCmUMo2J10HWmZRYVlyik5ReV5GWmZ5QARYpTk/PzUlCEqKUIZH1BalFxfp4CyJ0lmQX5IBqEQS4FOdMEiE2B2AxJcSJMsRFU0gKq0BjKNjJFNtqIFKONSDLamBSjjYkwOhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t, Column6 = _t, Column7 = _t, Column8 = _t]),
#"Transposed Table" = Table.Transpose(Source),
#"Merged Columns" = Table.CombineColumns(#"Transposed Table",{"Column1", "Column2"},Combiner.CombineTextByDelimiter("|", QuoteStyle.None),"Merged"),
#"Transposed Table1" = Table.Transpose(#"Merged Columns"),
#"Promoted Headers" = Table.PromoteHeaders(#"Transposed Table1", [PromoteAllScalars=true]),
#"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"null|null", type text}, {"null|null_1", type text}, {"mes1|first fortnight", Int64.Type}, {"mes1|second fortnight", Int64.Type}, {"mes2|first fortnight", Int64.Type}, {"mes2|second fortnight", Int64.Type}, {"mes3|first fortnight", Int64.Type}, {"mes3|second fortnight", Int64.Type}}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"null|null", "null|null_1"}, "Attribute", "Value"),
#"Split Column by Delimiter" = Table.SplitColumn(#"Unpivoted Other Columns", "Attribute", Splitter.SplitTextByDelimiter("|", QuoteStyle.Csv), {"Attribute.1", "Attribute.2"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Attribute.1", type text}, {"Attribute.2", type text}}),
#"Renamed Columns" = Table.RenameColumns(#"Changed Type1",{{"null|null", "Person"}, {"null|null_1", "Guy"}, {"Attribute.1", "My"}, {"Attribute.2", "Fortnight"}})
in
#"Renamed Columns"
Watch my video on this topic : https://www.youtube.com/watch?v=_YjFGsS9lNY&t=0s
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
Check out the April 2026 Power BI update to learn about new features.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
| User | Count |
|---|---|
| 48 | |
| 46 | |
| 41 | |
| 20 | |
| 17 |
| User | Count |
|---|---|
| 70 | |
| 69 | |
| 32 | |
| 27 | |
| 26 |