Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hello... I have a long standing challange to properly calucate what I call "Distinct Repair". I have a sample data table attached which shows the overall data and column E shows what would be considered a Count = 1. My notes are below and this data is related to repair data on a product.
Goal = To count distinct repairs in which there are more than one rows (unique Claim #) for the same product on the same date with same repair part.
Challange = A single repair can show in the data set as two rows each with a unique claim #. When the Product Serial #, PFP, and Repair Date are all the same between the two row it should be counted a Distinct Repair = 1
Any ideas on how to write the DAX for this?
Solved! Go to Solution.
Hi, @efowler
Please check if formula below could help:
Result =
VAR min_Claim =
MINX (
FILTER (
ALL ( 'Table' ),
'Table'[Product SN] = EARLIER ( 'Table'[Product SN] )
&& 'Table'[PFP] = EARLIER ( 'Table'[PFP] )
&& 'Table'[Repair Date] = EARLIER ( 'Table'[Repair Date] )
),
'Table'[Claim #]
)
RETURN
IF ( 'Table'[Claim #] = min_Claim, 1, BLANK () )
Best Regards,
Community Support Team _ Eason
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi, @efowler
Please check if formula below could help:
Result =
VAR min_Claim =
MINX (
FILTER (
ALL ( 'Table' ),
'Table'[Product SN] = EARLIER ( 'Table'[Product SN] )
&& 'Table'[PFP] = EARLIER ( 'Table'[PFP] )
&& 'Table'[Repair Date] = EARLIER ( 'Table'[Repair Date] )
),
'Table'[Claim #]
)
RETURN
IF ( 'Table'[Claim #] = min_Claim, 1, BLANK () )
Best Regards,
Community Support Team _ Eason
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Works perfect, thank you!