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Hi Everyone,
Got a little mind twister here 🙂
As per the example below, I would like create a measure to sum the sales for products x and y for the latest year. and check if there was no discount, then sum the sales.
i.e Sum sales of X in year 2003 and Discount(yes) + sum of sales of Y in year 2006 and Discount(yes) = should be equal to 0 for x and 700 for Y = total: 700
Product | Sales | Discount | Year |
x | 1200 | YES | 1 |
x | 100 | NO | 3 |
y | 2300 | YES | 3 |
y | 500 | YES | 3 |
y | 3400 | YES | 2 |
y | 700 | YES | 6 |
Thanks in advance
Solved! Go to Solution.
OK, minor adjustments, actually tested:
Measure =
VAR __Table =
ADDCOLUMNS(
SUMMARIZE(
'Table',
[Product],
"__Year",MAX('Table'[Year])
),
"__Sales",SUMX(FILTER('Table','Table'[Product] = EARLIER([Product]) && 'Table'[Year]=EARLIER([__Year]) && 'Table'[Discount] = "YES"),'Table'[Sales])
)
RETURN
SUMX(__Table,[__Sales])
Perhaps:
Measure =
VAR __Table =
ADDCOLUMNS(
SUMMARIZE(
'Table',
[Product],
"__Year",MAX('Table'[Year])
),
"__Sales",SUMX(FILTER('Table','Table'[Product] = [Product] && 'Table'[Year]=[Year] && 'Table'[Discount] = "YES"),'Table'[Sales])
RETURN
SUMX(__Table,[__Sales])
Warning, not tested.
OK, minor adjustments, actually tested:
Measure =
VAR __Table =
ADDCOLUMNS(
SUMMARIZE(
'Table',
[Product],
"__Year",MAX('Table'[Year])
),
"__Sales",SUMX(FILTER('Table','Table'[Product] = EARLIER([Product]) && 'Table'[Year]=EARLIER([__Year]) && 'Table'[Discount] = "YES"),'Table'[Sales])
)
RETURN
SUMX(__Table,[__Sales])
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