Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Hi all,
I need some help on the issue of tables transformations with PQ.
I have a horizontal table and have to transform it to vertical
like in the picture.
I spent a few hours on try to do it without success.
Here is my PBIX with the original table and the table with my trial manipulations,
hope somebody can help me with this:
https://drive.google.com/drive/folders/180w1__xEBq31goTDTM_gOOK_Y7MUzHkq
Solved! Go to Solution.
You can finish the trasformation by just clicking UI,
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("pVLLDoIwEPwVw5kmIJKUgyeMF4IhXgmHAgvS8DA8Dv692154KqBkszudbieztL6vKKqStVBkMQLbI/rRQDAMSk39dieOdZ5sHLCdUk2b0A7Hb9IcqL5id01bFVDj2qsrDlHrspKlkuCsxJxAiLlggmHPWuLXIsO7UuZ8dfcj36XSFRN2oJUuMIg5GoccZ+N9CyEYjgV/DKEUbVMiFl3m9eEsQlBcsVs10Cw0071zAoILKzPItxwh01fVe9Rk1bAK2WQuSwxzj7mRyxTBtYb478t49ELC7EpZ+RmnxRQEbw==", 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, Column9 = _t, Column10 = _t, Column11 = _t, Column12 = _t, Column13 = _t, Column14 = _t, Column15 = _t, Column16 = _t, Column17 = _t, Column18 = _t, Column19 = _t, Column20 = _t, Column21 = _t, Column22 = _t]),
#"Merged Columns" = Table.CombineColumns(Source,{"Column1", "Column2"},Combiner.CombineTextByDelimiter(";", QuoteStyle.None),"Merged"),
#"Transposed Table" = Table.Transpose(#"Merged Columns"),
#"Replaced Value" = Table.ReplaceValue(#"Transposed Table","",null,Replacer.ReplaceValue,{"Column1"}),
#"Filled Down" = Table.FillDown(#"Replaced Value",{"Column1"}),
#"Merged Columns1" = Table.CombineColumns(#"Filled Down",{"Column1", "Column2"},Combiner.CombineTextByDelimiter(";", QuoteStyle.None),"Merged"),
#"Transposed Table1" = Table.Transpose(#"Merged Columns1"),
#"Promoted Headers" = Table.PromoteHeaders(#"Transposed Table1", [PromoteAllScalars=true]),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Promoted Headers", {";itemid;Customer;ProjectManager"}, "Attribute", "Value"),
#"Split Column by Delimiter" = Table.SplitColumn(#"Unpivoted Other Columns", "Attribute", Splitter.SplitTextByDelimiter(";", QuoteStyle.Csv), {"Attribute.1", "Attribute.2"}),
#"Filtered Rows" = Table.SelectRows(#"Split Column by Delimiter", each ([Value] <> "")),
#"Split Column by Delimiter1" = Table.SplitColumn(#"Filtered Rows", ";itemid;Customer;ProjectManager", Splitter.SplitTextByDelimiter(";", QuoteStyle.Csv), {";itemid;Customer;ProjectManager.1", ";itemid;Customer;ProjectManager.2"})
in
#"Split Column by Delimiter1"
| Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
You can finish the trasformation by just clicking UI,
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("pVLLDoIwEPwVw5kmIJKUgyeMF4IhXgmHAgvS8DA8Dv692154KqBkszudbieztL6vKKqStVBkMQLbI/rRQDAMSk39dieOdZ5sHLCdUk2b0A7Hb9IcqL5id01bFVDj2qsrDlHrspKlkuCsxJxAiLlggmHPWuLXIsO7UuZ8dfcj36XSFRN2oJUuMIg5GoccZ+N9CyEYjgV/DKEUbVMiFl3m9eEsQlBcsVs10Cw0071zAoILKzPItxwh01fVe9Rk1bAK2WQuSwxzj7mRyxTBtYb478t49ELC7EpZ+RmnxRQEbw==", 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, Column9 = _t, Column10 = _t, Column11 = _t, Column12 = _t, Column13 = _t, Column14 = _t, Column15 = _t, Column16 = _t, Column17 = _t, Column18 = _t, Column19 = _t, Column20 = _t, Column21 = _t, Column22 = _t]),
#"Merged Columns" = Table.CombineColumns(Source,{"Column1", "Column2"},Combiner.CombineTextByDelimiter(";", QuoteStyle.None),"Merged"),
#"Transposed Table" = Table.Transpose(#"Merged Columns"),
#"Replaced Value" = Table.ReplaceValue(#"Transposed Table","",null,Replacer.ReplaceValue,{"Column1"}),
#"Filled Down" = Table.FillDown(#"Replaced Value",{"Column1"}),
#"Merged Columns1" = Table.CombineColumns(#"Filled Down",{"Column1", "Column2"},Combiner.CombineTextByDelimiter(";", QuoteStyle.None),"Merged"),
#"Transposed Table1" = Table.Transpose(#"Merged Columns1"),
#"Promoted Headers" = Table.PromoteHeaders(#"Transposed Table1", [PromoteAllScalars=true]),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Promoted Headers", {";itemid;Customer;ProjectManager"}, "Attribute", "Value"),
#"Split Column by Delimiter" = Table.SplitColumn(#"Unpivoted Other Columns", "Attribute", Splitter.SplitTextByDelimiter(";", QuoteStyle.Csv), {"Attribute.1", "Attribute.2"}),
#"Filtered Rows" = Table.SelectRows(#"Split Column by Delimiter", each ([Value] <> "")),
#"Split Column by Delimiter1" = Table.SplitColumn(#"Filtered Rows", ";itemid;Customer;ProjectManager", Splitter.SplitTextByDelimiter(";", QuoteStyle.Csv), {";itemid;Customer;ProjectManager.1", ";itemid;Customer;ProjectManager.2"})
in
#"Split Column by Delimiter1"
| Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
Wow! It's worked like a magic,
I'll try it on my real table
Hi @Ritaf ,
The PBIX you supplied is still trying to connect to your local drive, so can't be viewed in Power Query.
Can you copy the original table, paste it into 'Enter Data' in PQ, then copy the M code from Advanced Editor and paste it into a code window here please ( </> button) ?
Pete
Proud to be a Datanaut!
Thank you for your response.
I updated the pbix and put excel with the tables too to the linked folder.
Hope it will help 🙂
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
| User | Count |
|---|---|
| 19 | |
| 9 | |
| 8 | |
| 7 | |
| 6 |