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 PowerBI community
I have two tables PreviousOrders and FutureOrders.
PreviousOrder
Facility | Processing Time | OrderType |
A | 13 | Express |
A | 15 | Normal |
B | 19 | Express |
C | 10 | Normal |
A | 11 | Express |
B | 15 | Express |
B | 13 | Express |
C | 14 | Normal |
FutureOrders.
Facility | OrderType | ExpectedTime |
A | Express | =averageif(A and Express in First table) |
B | Express |
|
C | Express |
|
C | Normal |
|
A | Express |
|
A | Normal |
|
B | Express |
|
C | Normal |
|
I would like the ExpetedTime in the “FutureOrders” table to be the "Processing Time" for that facility and order type based on the data in PreviousOrder.
Is there an easy way to do this in DAX?
Thank you
Solved! Go to Solution.
Hi @bklyn3
you build a many to many relationship between the two tables based on the facity column. Then New column
AVERAGEX (
FLITER (
RELATEDTABLE ( PreviousOrder ),
PreviousOrder[OrderType] = FutureOrders[OrderType]
),
PreviousOrder[Processing]
)
Ì know this is solved but I would like propose a alternative without DAX in Power Query
Merge both tables
Expand using aggregate option --> sum (average not directly available)
Change List.Sum to List.Average in the formula.
Done, no many-2-many needed.
Thank you
Hi @bklyn3
you build a many to many relationship between the two tables based on the facity column. Then New column
AVERAGEX (
FLITER (
RELATEDTABLE ( PreviousOrder ),
PreviousOrder[OrderType] = FutureOrders[OrderType]
),
PreviousOrder[Processing]
)
Check out the July 2025 Power BI update to learn about new features.
User | Count |
---|---|
22 | |
7 | |
6 | |
6 | |
6 |
User | Count |
---|---|
27 | |
12 | |
10 | |
9 | |
6 |