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Hello all,
I have a live connection to a SQL table “table1” with historical data.
Example Data:
ID | Status | Start | End | Changed |
1 | A | 2022-05-13 |
| 2022-05-13 |
1 | B | 2022-05-13 |
| 2022-05-14 |
2 | A | 2022-05-15 |
| 2022-05-15 |
3 | A | 2022-05-15 |
| 2022-05-15 |
2 | C | 2022-05-15 | 2022-05-16 | 2022-05-16 |
3 | B | 2022-05-15 |
| 2022-05-16 |
3 | B | 2022-05-15 |
| 2022-05-17 |
3 | C | 2022-05-15 | 2022-05-18 | 2022-05-18 |
4 | A | 2022-05-15 |
| 2022-05-15 |
4 | A | 2022-05-15 |
| 2022-05-16 |
5 | A | 2022-05-16 |
| 2022-05-16 |
What to achieve:
Now, I would like to get the MIN Start-date with Status “A” if the corresponding ID had no other Status since then.
Expected Result:
The output regarding the example table would be 2022-05-15. Solution: ID 4 and ID 5 are the only IDs that did not switch their state. ID 4 provides an earlier start date then ID 5.
I tried different approaches, like comparing a subset of Status A with a subset of other statuses to get the IDs that are in subset A but not in the other one. Another means could be an index if it would be possible to calculate a column.
However, since it is a live connection, I cannot calculate new tables or columns. The DAX measure has to be calculated without those intermediate steps. A change of the connection type is not possible.
I appreciate your help!
Thanks.
Solved! Go to Solution.
Hi,
Please check the below picture and the attached pbix file.
Desired outcome measure: =
VAR _IDunderA =
SUMMARIZE ( FILTER ( Data, Data[Status] = "A" ), Data[ID] )
VAR _IDunderothers =
SUMMARIZE ( FILTER ( Data, Data[Status] <> "A" ), Data[ID] )
VAR _IDonlyA =
EXCEPT ( _IDunderA, _IDunderothers )
VAR _newtable =
CALCULATETABLE ( Data, TREATAS ( _IDonlyA, Data[ID] ) )
RETURN
MINX ( _newtable, Data[Start] )
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
Hi,
Please check the below picture and the attached pbix file.
Desired outcome measure: =
VAR _IDunderA =
SUMMARIZE ( FILTER ( Data, Data[Status] = "A" ), Data[ID] )
VAR _IDunderothers =
SUMMARIZE ( FILTER ( Data, Data[Status] <> "A" ), Data[ID] )
VAR _IDonlyA =
EXCEPT ( _IDunderA, _IDunderothers )
VAR _newtable =
CALCULATETABLE ( Data, TREATAS ( _IDonlyA, Data[ID] ) )
RETURN
MINX ( _newtable, Data[Start] )
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
Hi @Jihwan_Kim,
thanks for the solution! I got an additional request and need the ID/IDs according to this MIN value. Tried SELECTEDVALUE with FILTER regarding minx. But it does not work.
Any help is appreciated, thanks!
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