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Hello,
As I am new to Power BI, I am facing an issue.
I have the below table:
I would need for everyday, to know the total of "Pallets_Stock" of grouped "AUX".
For example.
Let's say AUX "187N", "170N", and "030N" are part of a family I want to create called "Family 1"; I would need the return below:
I need to say that an AUX can also we used in another family.
Anyone could help me but also explain to me the way ?
Kind regards
Solved! Go to Solution.
@Foguete Well, probably best to create an Enter Data query like below. You could create a relationship between the tables based on the AUX columns. It will be many-to-many but that shouldn't cause an issue in most circumstances.
| Family | AUX |
| Family 1 | 187N |
| Family 1 | 170N |
| Family 1 | 030N |
| Family 2 | 777N |
| Family 2 | 666N |
| Family 2 | 555N |
| Family 3 | 187N |
| Family 3 | 555N |
| Family 3 | 457N |
Hi again,
I think I have found the solution or at least it's working
Instead of SUMMARIZE, as I was using different columns I used SUMMARIZECOLUMNS which gave this result in DAX:
@Foguete Well, probably best to create an Enter Data query like below. You could create a relationship between the tables based on the AUX columns. It will be many-to-many but that shouldn't cause an issue in most circumstances.
| Family | AUX |
| Family 1 | 187N |
| Family 1 | 170N |
| Family 1 | 030N |
| Family 2 | 777N |
| Family 2 | 666N |
| Family 2 | 555N |
| Family 3 | 187N |
| Family 3 | 555N |
| Family 3 | 457N |
Hi @Greg_Deckler, thanks for the answer !
I have been creating the data entry and edit the relationship as the screenshot below:
Now I am facing a new issue, at the moment of creating a new table to get something similar to the screenshot below:
My DAX is telling me that it does not found the "Family" column (I changed the name family for "Tiendas"):
Any idea about what did I do wrong ?
Hi again,
I think I have found the solution or at least it's working
Instead of SUMMARIZE, as I was using different columns I used SUMMARIZECOLUMNS which gave this result in DAX:
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