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.
All - I have a simple data set that looks like the following - and we are looking for Avg Transactions Per Order (For all orders that remain unfiltered completely)
Order ID | Transaction ID | Transactions in Order | Filter 1 | Filter 2 | Filter N |
1 | 90001 | 3 | Y | A | ... |
1 | 90002 | 3 | Y | B | ... |
1 | 90003 | 3 | N | A | ... |
2 | 90004 | 2 | Y | C | ... |
2 | 9005 | 2 | Y | A | ... |
So accross this data set - the following DAX was originally built:
Avg Transactions per Order := DIVIDE(COUNT([TRANSACTION ID]),DISTINCTCOUNT([Order ID]))
Without any filters this yeilds, correctly: 5/2 = 2.5
This issue is if there are any filters - assume [Filter 1] = 'Y' - then: 4/2 = 2
But I still want 2.5 because 2 orders were included - and in total there were 5 transactions in those orders. I have currently changed the code to the below, but was looking for something were I don't need to add a condition every time a new Filter enteres my Data Set.
Avg Transactions per Order := DIVIDE(CALCULATE(COUNT([TRANSACTION ID]), ALL([FILTER 1],[FILTER 2], [FILTER N])),DISTINCTCOUNT([Order ID]))
Since I already have the Order Transaction Count can I use some summary/first/over function to get just a singular value per Order 1 to calculate - see below:
For Filter 1 = Y then (3 + 2) / (1 + 1) = 2.5
Order ID | Transaction ID | Transactions in Order | Filter 1 | Filter 2 | Filter N | CALC Transaction | CALC Orders |
1 | 90001 | 3 | Y | A | ... | 3 | 1 |
1 | 90002 | 3 | Y | B | ... | ||
1 | 90003 | 3 | N | A | ... | ||
2 | 90004 | 2 | Y | C | ... | 2 | 1 |
2 | 9005 | 2 | Y | A | ... |
For Filter 1 = N then (3 + 0) / (1 + 0) = 3
Order ID | Transaction ID | Transactions in Order | Filter 1 | Filter 2 | Filter N | CALC Transaction | CALC Orders |
1 | 90001 | 3 | Y | A | ... | ||
1 | 90002 | 3 | Y | B | ... | ||
1 | 90003 | 3 | N | A | ... | 3 | 1 |
2 | 90004 | 2 | Y | C | ... | ||
2 | 9005 | 2 | Y | A | ... |
Thanks in advance
Solved! Go to Solution.
// (ABS) means "absolute", so
// that you know filters do not
// affect this number.
[Avg Tx Per Order (ABS)] =
var __txCount =
CALCULATE(
// Since the table T has a
// unique column of transactions...
COUNTROWS( T ),
VALUES( T[OrderID] ),
ALL( T )
)
var __orderCount =
DISTINCTCOUNT( T[OrderID] )
var __result =
DIVIDE(
__txCount,
__orderCount
)
return
__result
@Derekp978 - Use ALL or ALLEXCEPT to ignore filter context.
That was my thought but when I applied it it didn't work - if I want to IGNORE these three filters is this correct?
Avg Transactions per Order := DIVIDE(CALCULATE(COUNT([TRANSACTION ID]), ALL([FILTER 1],[FILTER 2], [FILTER N])),DISTINCTCOUNT([Order ID]))
// (ABS) means "absolute", so
// that you know filters do not
// affect this number.
[Avg Tx Per Order (ABS)] =
var __txCount =
CALCULATE(
// Since the table T has a
// unique column of transactions...
COUNTROWS( T ),
VALUES( T[OrderID] ),
ALL( T )
)
var __orderCount =
DISTINCTCOUNT( T[OrderID] )
var __result =
DIVIDE(
__txCount,
__orderCount
)
return
__result
Check out the July 2025 Power BI update to learn about new features.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
User | Count |
---|---|
23 | |
10 | |
10 | |
9 | |
7 |