Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hi all
I am unable to achive this simple data transformation. Please help asap.
Link to the Data folder (Data.xlsx & Data.pbix).
I want to change the layout of Table A to Table B as shown below.
Basically I want to move Item 1 and D into rows before Dimention and for same should go for the following data (Item 2...3...4) to APPEND below as shown in Table B.
Table A
|
|
|
|
|
| Item 1 |
|
|
|
|
| Item 2 |
|
|
|
|
|
|
|
|
|
|
| D |
|
|
|
|
| D |
|
|
|
|
|
Serial | Province | City | Store Code | Coverage | Height | Dimension | Qty | Area | Coverage Calculation | Material | Subtotal | Dimension | Qty | Area | Coverage Calculation | Material | Subtotal |
1 | Quebec | Témiscamingue | 2715 |
|
| 0.174*0.614 | 6 | 0.106836 | 0.641016 | Paper | 9.616345 | 0.21*0.297 | 1 | 0.06237 | 0.06237 | Paper | 2.977544 |
2 | Nova Scotia | Cape Breton | 2732 |
|
| 0.174*0.614 | 6 | 0.106836 | 0.641016 | Paper | 9.616345 | 0.21*0.297 | 1 | 0.06237 | 0.06237 | Paper | 2.977544 |
3 | British Columbia | Fraser-Fort George | 2767 |
|
| 0.174*0.614 | 6 | 0.106836 | 0.641016 | Paper | 9.616345 | 0.21*0.297 | 1 | 0.06237 | 0.06237 | Paper | 2.977544 |
4 | Ontario | Algoma | 2765 |
|
| 0.174*0.614 | 6 | 0.106836 | 0.641016 | Paper | 9.616345 | 0.21*0.297 | 1 | 0.06237 | 0.06237 | Paper | 2.977544 |
5 | New Brunswick | Northumberland | 2761 |
|
| 0.174*0.614 | 6 | 0.106836 | 0.641016 | Paper | 9.616345 | 0.21*0.297 | 1 | 0.06237 | 0.06237 | Paper | 2.977544 |
Table B
Serial | Province | City | Store Code | Coverage | Height | COLUMN A | COLUMN B | Dimension | Qty | Area | Coverage Calculation | Material | Subtotal |
1 | Quebec | Témiscamingue | 2715 |
|
| Item 1 | C | 0.174*0.614 | 6 | 0.106836 | 0.641016 | Paper | 9.6163452 |
2 | Nova Scotia | Cape Breton | 2732 |
|
| Item 1 | C | 0.174*0.614 | 6 | 0.106836 | 0.641016 | Paper | 9.6163452 |
3 | British Columbia | Fraser-Fort George | 2767 |
|
| Item 1 | C | 0.174*0.614 | 6 | 0.106836 | 0.641016 | Paper | 9.6163452 |
4 | Ontario | Algoma | 2765 |
|
| Item 1 | C | 0.174*0.614 | 6 | 0.106836 | 0.641016 | Paper | 9.6163452 |
5 | New Brunswick | Northumberland | 2761 |
|
| Item 1 | C | 0.174*0.614 | 6 | 0.106836 | 0.641016 | Paper | 9.6163452 |
1 | Quebec | Témiscamingue | 2715 |
|
| Item 2 | D | 0.21*0.297 | 1 | 0.06237 | 0.06237 | Paper | 2.9775438 |
2 | Nova Scotia | Cape Breton | 2732 |
|
| Item 2 | D | 0.21*0.297 | 1 | 0.06237 | 0.06237 | Paper | 2.9775438 |
3 | British Columbia | Fraser-Fort George | 2767 |
|
| Item 2 | D | 0.21*0.297 | 1 | 0.06237 | 0.06237 | Paper | 2.9775438 |
4 | Ontario | Algoma | 2765 |
|
| Item 2 | D | 0.21*0.297 | 1 | 0.06237 | 0.06237 | Paper | 2.9775438 |
5 | New Brunswick | Northumberland | 2761 |
|
| Item 2 | D | 0.21*0.297 | 1 | 0.06237 | 0.06237 | Paper | 2.9775438 |
Solved! Go to Solution.
HI @iamprajot ,
You can take a look at following pbix file to get transformed table formula.
let Source = Excel.Workbook(File.Contents("C:\Users\xiaoxish\Downloads\Data.xlsx"), null, true), Data_Sheet = Source{[Item="Data",Kind="Sheet"]}[Data], #"Removed Columns"=Table.RemoveColumns(Table.FillDown(Table.Transpose(Table.SelectColumns(Data_Sheet,{"Column7", "Column8", "Column9", "Column10", "Column11", "Column12", "Column13", "Column14", "Column15", "Column16", "Column17", "Column18"})),{"Column1"}),{"Column2"}), Custom1 = Table.AddColumn(Table.PromoteHeaders(Table.RemoveFirstN(Table.SelectColumns(Data_Sheet,{"Column1", "Column2", "Column3", "Column4", "Column5", "Column6"}),2)),"Custom",each Table.ExpandTableColumn(Table.Group(#"Removed Columns", {"Column1"}, {{"Count", each Table.Distinct(Table.PromoteHeaders(Table.Transpose(Table.RemoveColumns(_,"Column1")))), type table }}), "Count", {"Dimension", "Qty", "Area", "Coverage Calculation", "Material", "Subtotal"}, {"Dimension", "Qty", "Area", "Coverage Calculation", "Material", "Subtotal"})), #"Expanded Custom" = Table.ExpandTableColumn(Custom1, "Custom", {"Column1", "Dimension", "Qty", "Area", "Coverage Calculation", "Material", "Subtotal"}, {"Column1", "Dimension", "Qty", "Area", "Coverage Calculation", "Material", "Subtotal"}) in #"Expanded Custom"
Notice: it is hard complex to use power query functions to format pivot table, if you can please do these on excel worksheet side. (It should more simple to do)
Regards,
Xiaoxin Sheng
HI @iamprajot ,
You can take a look at following pbix file to get transformed table formula.
let Source = Excel.Workbook(File.Contents("C:\Users\xiaoxish\Downloads\Data.xlsx"), null, true), Data_Sheet = Source{[Item="Data",Kind="Sheet"]}[Data], #"Removed Columns"=Table.RemoveColumns(Table.FillDown(Table.Transpose(Table.SelectColumns(Data_Sheet,{"Column7", "Column8", "Column9", "Column10", "Column11", "Column12", "Column13", "Column14", "Column15", "Column16", "Column17", "Column18"})),{"Column1"}),{"Column2"}), Custom1 = Table.AddColumn(Table.PromoteHeaders(Table.RemoveFirstN(Table.SelectColumns(Data_Sheet,{"Column1", "Column2", "Column3", "Column4", "Column5", "Column6"}),2)),"Custom",each Table.ExpandTableColumn(Table.Group(#"Removed Columns", {"Column1"}, {{"Count", each Table.Distinct(Table.PromoteHeaders(Table.Transpose(Table.RemoveColumns(_,"Column1")))), type table }}), "Count", {"Dimension", "Qty", "Area", "Coverage Calculation", "Material", "Subtotal"}, {"Dimension", "Qty", "Area", "Coverage Calculation", "Material", "Subtotal"})), #"Expanded Custom" = Table.ExpandTableColumn(Custom1, "Custom", {"Column1", "Dimension", "Qty", "Area", "Coverage Calculation", "Material", "Subtotal"}, {"Column1", "Dimension", "Qty", "Area", "Coverage Calculation", "Material", "Subtotal"}) in #"Expanded Custom"
Notice: it is hard complex to use power query functions to format pivot table, if you can please do these on excel worksheet side. (It should more simple to do)
Regards,
Xiaoxin Sheng
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
107 | |
100 | |
78 | |
64 | |
58 |
User | Count |
---|---|
148 | |
113 | |
97 | |
84 | |
67 |