Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
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]
)
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
10 | |
9 | |
8 | |
6 | |
5 |
User | Count |
---|---|
20 | |
14 | |
10 | |
9 | |
6 |