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Hello,
I have the following table in Power Query and i am trying to obtain the transpose using Power Query.
| Start date | Stock | Returns | Defective | Category |
| 01/05/2021 | 6 | 9 | 17 | Late |
| 27/05/2022 | 2 | 5 | 10 | On time |
| 07/08/2022 | 5 | 6 | 15 | On time |
| 14/07/2022 | 5 | 6 | 15 | Undefined |
| 08/08/2022 | 3 | 4 | 8 | No action |
| 12/08/2022 | 2 | 2 | 10 | Late |
| 17/08/2022 | 7 | 8 | 22 | On time |
| 20/08/2022 | 3 | 3 | 13 | No action |
| 22/08/2022 | 6 | 3 | 18 | Late |
| 29/08/2022 | 3 | 3 | 14 | On time |
| 18/09/2022 | 3 | 3 | 14 | Undefined |
| 07/09/2022 | 2 | 7 | 17 | No action |
| 16/09/2022 | 3 | 7 | 22 | On time |
| 20/10/2022 | 9 | 3 | 16 | On time |
| 23/11/2022 | 7 | 5 | 20 | Late |
| 11/12/2022 | 9 | 8 | 18 | No action |
| 04/01/2023 | 6 | 7 | 16 | On time |
| 17/02/2023 | 7 | 14 | 34 | On time |
| 11/12/2022 | 9 | 8 | 18 | No action |
I tried the Transpose option in Power Query but the first column as shown below with the headers is missing.
Expected results:
| Start date | 01/05/2021 | 27/05/2022 | 07/08/2022 | 14/07/2022 | 08/08/2022 | 12/08/2022 | 17/08/2022 | 20/08/2022 | 22/08/2022 | 29/08/2022 | 18/09/2022 | 07/09/2022 | 16/09/2022 | 20/10/2022 | 23/11/2022 | 11/12/2022 | 04/01/2023 | 17/02/2023 | 11/12/2022 |
| Stock | 6 | 2 | 5 | 5 | 3 | 2 | 7 | 3 | 6 | 3 | 3 | 2 | 3 | 9 | 7 | 9 | 6 | 7 | 9 |
| Returns | 9 | 5 | 6 | 6 | 4 | 2 | 8 | 3 | 3 | 3 | 3 | 7 | 7 | 3 | 5 | 8 | 7 | 14 | 8 |
| Defective | 17 | 10 | 15 | 15 | 8 | 10 | 22 | 13 | 18 | 14 | 14 | 17 | 22 | 16 | 20 | 18 | 16 | 34 | 18 |
| Category | Late | On time | On time | Undefined | No action | Late | On time | No action | Late | On time | Undefined | No action | On time | On time | Late | No action | On time | On time | No action |
Solved! Go to Solution.
Before you transpose, demote the headers.
then transpose
DAX is for Analysis. Power Query is for Data Modeling
Proud to be a Super User!
MCSA: BI ReportingI agree with @Greg_Deckler , but hard to know based on your post what you are doing. This could be an interim transformation for a merge or something, or it could be the end result needed for an Excel table, which would be fine.
But if this is the end result for a Power BI model, your original table is more along the lines of what Power BI works well with.
DAX is for Analysis. Power Query is for Data Modeling
Proud to be a Super User!
MCSA: BI Reporting@Anonymous Also, just to add to what @edhans said. I am fairly certain that you might want to reconsider transposing that table to begin with as the original format it is in is far more compatible with Power BI. In fact, I think it would be better if you unpivoted your Stock, Returns and Defective columns. I may be wrong, but if I had that data and wanted it to be easy to work with in Power BI, that's what I would probably do.
Before you transpose, demote the headers.
then transpose
DAX is for Analysis. Power Query is for Data Modeling
Proud to be a Super User!
MCSA: BI ReportingThe Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
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