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Hi All,
i have issue, where in i have to find the sum of sales by comparing other columns in the sames table. Please find the below sample
Table:
Product Sub product Sales Weight
A1 A1.1 10 1
A1 A1.2 20 2
A1 A1.3 30
A2 A2.1 40 4
A2 A2.2 50 5
A3 A3.1 60 6
A3 A3.2 70 7
Expected Result:
Product Sales
A1
A2 90
A3 130
If there is Weight available for every "sub product" then only i have to get the sum of sales for that "Product" else it should appear as 0 or "Blank".
Hope this all make sense and many thanks for your help !
Regards,
Vinay
Solved! Go to Solution.
Hello @Anonymous
Give this a try.
Measure = VAR _Blanks = CALCULATETABLE ( VALUES ( YourTable[Product] ), ALL ( YourTable ), ISBLANK ( YourTable[Weight] ) ) RETURN CALCULATE( SUM ( YourTable[Sales] ), KEEPFILTERS ( NOT YourTable[Product] IN ( _Blanks ) ) )
@Anonymous
This gives me the expected result on the sample data and correct totaling as well. Give it a try:
Sum of Sales =
SUMX (
VALUES ( 'Table'[Product] ),
CALCULATE (
VAR _Blanks =
CALCULATETABLE (
FILTER (
ADDCOLUMNS (
CALCULATETABLE (
GROUPBY ( 'Table', 'Table'[Product], 'Table'[Sub Product] ),
'Table'[Category] <> "NA"
),
"TheWeight", CALCULATE ( SUM ( 'Table'[Weight] ) )
),
[TheWeight] = 0
),
ALLEXCEPT ( 'Table', 'Table'[Product] ) )
RETURN
CALCULATE (
SUM ( 'Table'[Sales] ),
'Table'[Category] <> "NA",
FILTER ( 'Table', COUNTROWS ( _Blanks ) = BLANK () ) ) ) )
Hello @Anonymous
Give this a try.
Measure = VAR _Blanks = CALCULATETABLE ( VALUES ( YourTable[Product] ), ALL ( YourTable ), ISBLANK ( YourTable[Weight] ) ) RETURN CALCULATE( SUM ( YourTable[Sales] ), KEEPFILTERS ( NOT YourTable[Product] IN ( _Blanks ) ) )
Really Sorry, i'm coming back to you with a old problem with slight different case.
your Previous DAX worked fine, i'm facing problem to modify that with the below cases.
I'm stuck with same issue again with some complexity, please let me know, how can it be done.
Table:
Period Product Sub product Sales Weight Category
201901 A1 A1.1 10 1 N
201902 A1 A1.1 10 1.5 Y
201903 A1 A1.2 20 2 Y
201904 A1 A1.3 30 NA
201901 A2 A2.1 40 0 N
201902 A2 A2.1 50 1.5 Y
201903 A2 A2.2 60 2 Y
201904 A2 A2.3 70 NA
201901 A3 A3.1 60 0 N
201902 A3 A3.1 80 0 Y
201903 A3 A3.2 30 2 Y
201904 A3 A3.3 10 NA
Here is in this scenario, weight is not calculated for "NA" Category.
Case 1: For Product "A1", i have positive weight for all the Sub Produts, so i have to calculate sum of sales for Product A1 = 40(10+10+20) , Excluding sales of NA(30)
Case 2 : For Product "A2", i have positive sales for all the sub category(here we have to consider sum of weight of sub prorduct A1.1, which is positive(0+1.5) ) then i have calculate sum of sales , which is 150 (40+50+60)
Case 3 : For Product "A3", there is no positive weight for A3.1 Sub Product, so we should not calculate sum sales for this Product i.e A3 = blank
Result Table :
Product Sum of sales
A1 40
A2 150
A3
How can this be done using DAX. Please suggest
Sorry to trouble you with old problem again
Many Thanks in Advance!
Vinay
@Anonymous
This gives me the expected result on the sample data and correct totaling as well. Give it a try:
Sum of Sales =
SUMX (
VALUES ( 'Table'[Product] ),
CALCULATE (
VAR _Blanks =
CALCULATETABLE (
FILTER (
ADDCOLUMNS (
CALCULATETABLE (
GROUPBY ( 'Table', 'Table'[Product], 'Table'[Sub Product] ),
'Table'[Category] <> "NA"
),
"TheWeight", CALCULATE ( SUM ( 'Table'[Weight] ) )
),
[TheWeight] = 0
),
ALLEXCEPT ( 'Table', 'Table'[Product] ) )
RETURN
CALCULATE (
SUM ( 'Table'[Sales] ),
'Table'[Category] <> "NA",
FILTER ( 'Table', COUNTROWS ( _Blanks ) = BLANK () ) ) ) )
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