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Hello,
I have two tables which I want to make full outer join.
One is Inbound the other is Outbound of the same orders. Since after inbound the orders are places in stock, and waiting for the time to be dispatch and got a record in the outbound table.
Inbound:
| Order | Dateinbound | |
| 1 | 01.01.2021 | |
| 2 | 01.01.2021 | |
| 3 | 03.01.2021 | |
| 4 | 04.01.2021 | |
| 5 | 04.01.2021 | |
| 6 | 01.01.2021 |
Outbound:
| Order | Dateoutbound | |
| 1 | 30.01.2021 | |
| 2 | 05.01.2021 | |
| 3 | 17.01.2021 | |
| 4 | 24.01.2021 | |
5 | 19.01.2021 | |
6 | null |
After the join:
| Order | Dateinbound | Dateoutbound | ||
| 1 | 01.01.2021 | 30.01.2021 | ||
| 2 | 01.01.2021 | 05.01.2021 | ||
| 3 | 03.01.2021 | 17.01.2021 | ||
| 4 | 04.01.2021 | 24.01.2021 | ||
| 5 | 04.01.2021 | 19.01.2021 | ||
| 6 | 01.01.2021 | null |
After joining them I want to unpivot the Inbound and Outbound dates to bring them into a format that I can filter and count in the same columnn. But the problem for order no. 6 is that after unpivoting, it exist only for inbound but not for outbound. Is there a way to keep the Nulls?
| Order | Date | Type | ||
| 1 | 01.01.2021 | Dateinbound | ||
| 2 | 01.01.2021 | Dateinbound | ||
| 3 | 03.01.2021 | Dateinbound | ||
| 4 | 04.01.2021 | Dateinbound | ||
| 5 | 04.01.2021 | Dateinbound | ||
| 6 | 01.01.2021 | Dateinbound | ||
| 1 | 30.01.2021 | Dateoutbound | ||
| 2 | 05.01.2021 | Dateoutbound | ||
| 3 | 17.01.2021 | Dateoutbound | ||
| 4 | 24.01.2021 | Dateoutbound | ||
| 5 | 19.01.2021 | Dateoutbound | ||
| 6 | null | Dateoutbound |
Thank you very much in advance.
Best.
Solved! Go to Solution.
@Applicable88
Before doing the UnPiovt step, Use Replace Value to replace null with something else like zero or another value then it will stay, later you can do any operation with it
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@Applicable88
Before doing the UnPiovt step, Use Replace Value to replace null with something else like zero or another value then it will stay, later you can do any operation with it
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
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