Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Hello Community ,
I am trying to create an average price by dividing sales amount by quantity.
I have filter records in the amount variable so calculation will apply only on records that the amount is greater than 1
The same calculation is apply on qty that should be greater than 0
It seems that aggregate divide result is incorrect as some of calculation result in detail are equal to blank.
I know I need to filter out blank but I did not succeed to get correct result.
please advice.
avg_price =
var vprice = CALCULATE(
SUM(INVOICES[Amount]),
CALCULATETABLE(
VALUES('INVOICES'),
'INVOICES'[Amount] > 1
))
var vqty = CALCULATE(
SUM(INVOICES[qty]),
CALCULATETABLE(
VALUES('INVOICES'),
'INVOICES'[qty] > 0
))
return DIVIDE(vprice , vqty, 0)
Solved! Go to Solution.
hi @Gilad
the filters need to be applied for each row of your table simultaneously.
Supposing your data is like this:
| Amt | Qty |
| 1 | -1 |
| 10 | 0 |
| 100 | 2 |
| 400 | 3 |
try to plot a measure like:
Avg Price =
VAR _table =
FILTER(
TableName,
TableName[Amt]>1&&TableName[Qty]>0
)
VAR _amt = SUMX(_table, TableName[Amt])
VAR _qty = SUMX(_table, TableName[Qty])
RETURN
DIVIDE(_amt, _qty)
it worked like:
hi @Gilad
the filters need to be applied for each row of your table simultaneously.
Supposing your data is like this:
| Amt | Qty |
| 1 | -1 |
| 10 | 0 |
| 100 | 2 |
| 400 | 3 |
try to plot a measure like:
Avg Price =
VAR _table =
FILTER(
TableName,
TableName[Amt]>1&&TableName[Qty]>0
)
VAR _amt = SUMX(_table, TableName[Amt])
VAR _qty = SUMX(_table, TableName[Qty])
RETURN
DIVIDE(_amt, _qty)
it worked like:
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
| User | Count |
|---|---|
| 19 | |
| 13 | |
| 8 | |
| 4 | |
| 4 |
| User | Count |
|---|---|
| 29 | |
| 19 | |
| 18 | |
| 11 | |
| 10 |