This is best Fabric, Power BI, SQL and AI community event. How do we know? The last event sold out! Save €200 with code FABCMTY200.
Register nowThe Fabric community is upgrading! Read all of the details including the timeline and what you can expect. Learn more
Hi !
I have a table named ShipDetails that looks like this :
| DROP | ON_TIME_DELIVERY | ORDERED_PRODUCT |
| Client 1 - Order 1 | OK | Product 2 |
| Client 1 - Order 1 | OK | Product 4 |
| Client 2 - Order 1 | KO | Product 1 |
| Client 2 - Order 1 | KO | Product 2 |
| Client 2 - Order 1 | KO | Product 3 |
| C1 - O2 | KO | Product 3 |
| C1 - O3 | OK | Product 3 |
| C1 - O3 | OK | Product 4 |
I would like to create a measure that count the percentage of on time delivery.
In order to do that, I have to count 1 if ON-TIME_DELIVERY is "OK" and 0 if it's "KO", FOR EACH DROP (and then divide by the number of distinct drops).
It's easy to do it for each row, but, here, rows of the same drop have to be counted only as 1.
How could I do it ?
(I tried several measures like this one but it doesn't work at all : On time delivery (%) = CALCULATE(SUMX(ShipDetails,IF(ShipDetails[ON_TIME_DELIVERY]="OK",1,0)),ALLEXCEPT(ShipDetails,ShipDetails[DROP]))/DISTINCTCOUNT(ShipDetails[DROP]))
Thank you for your help,
Regards,
Marion
Solved! Go to Solution.
Hi @Anonymous
Try this.
On time delivery (%) =
DIVIDE(
CALCULATE(
DISTINCTCOUNT( ShipDetails[DROP] ),
ShipDetails[ON_TIME_DELIVERY] = "OK"
),
DISTINCTCOUNT ( ShipDetails[DROP] )
)
Hi @Anonymous
Try this.
On time delivery (%) =
DIVIDE(
CALCULATE(
DISTINCTCOUNT( ShipDetails[DROP] ),
ShipDetails[ON_TIME_DELIVERY] = "OK"
),
DISTINCTCOUNT ( ShipDetails[DROP] )
)
Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.
| User | Count |
|---|---|
| 24 | |
| 22 | |
| 20 | |
| 18 | |
| 14 |
| User | Count |
|---|---|
| 29 | |
| 23 | |
| 22 | |
| 20 | |
| 20 |