The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hello,
Can someone please advise how to deal with this situation between the two tables?
thank you for answer
Table 1
Date | Katalog | piece | result |
2017-02-05 10:45:00 | 10000 | 1 | 1 |
2017-02-05 23:16:00 | 10000 | 4 | 2 |
2017-02-06 23:06:00 | 50000 | 1 | 1 |
2017-02-07 17:06:00 | 50001 | 2 | 1 |
2017-02-07 17:06:00 | 8000 | 1 | 1 |
2017-02-08 14:51:00 | 400 | 3 | 1 |
2017-02-09 11:00:00 | 10000 | 1 | 3 |
2017-02-09 11:00:00 | 50000 | 1 | 2 |
Table 2
Katalog | Stock | Result(1) – (if Table1[Katalog] = Table2[Katalog] and Table1[result1] = 1 Then Table1[piece]) | Result(2) – (if Table1[Katalog] = Table2[Katalog] and Table1[result1] = 2 Then Table1[piece]) | Result(3) – (if Table1[Katalog] = Table2[Katalog] and Table1[result1] = 2 Then Table1[piece]) | Result(4) – (if Table1[Katalog] = Table2[Katalog] and Table1[result1] = 2 Then Table1[piece]) |
400 | 5 | 3 |
|
|
|
8000 | 2 | 1 |
|
|
|
10000 | 1 | 1 | 4 | 1 |
|
50000 | 1 | 1 | 1 |
|
|
50001 | 1 | 2 |
|
|
|
Hi @skopcak,
I am not clear about that how you get result in table 2 by using table 1, could you please describe more details about the formula of red part?
Thanks,
Lydia Zhang