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How do you show cumulative sums by year that shows category even if its missing values in the source data for a time period?
For example: in the data below Product C is missing amounts in Feb-2023. The DAX measures i have tried so far are all excluding C from Feb cumulative results completely.
Source Data:
Date | Product | Amount |
1/1/2023 | A | 1 |
1/1/2023 | B | 2 |
1/1/2023 | C | 1 |
1/2/2023 | C | 4 |
2/1/2023 | A | 9 |
2/2/2023 | B | 3 |
3/1/2023 | A | 4 |
3/1/2023 | B | 4 |
3/2/2023 | C | 3 |
1/1/2024 | A | 1 |
1/1/2024 | B | 1 |
1/1/2024 | C | 1 |
1/2/2024 | A | 3 |
1/2/2024 | C | 1 |
1/3/2024 | B | 4 |
2/1/2024 | A | 2 |
2/2/2024 | C | 1 |
2/2/2024 | B | 3 |
3/1/2024 | A | 9 |
3/1/2024 | B | 4 |
3/2/2024 | C | 3 |
What i have tried so far:
Measure = SUMX(FILTER(ALL('Table'),
YEAR('Table'[Date])=YEAR(MAX('Table'[Date])) &&
MONTH('Table'[Date])<=MONTH(MAX('Table'[Date])) &&
'Table'[Product]=MAX('Table'[Product])),'Table'[Amount])
I have also tried it with a calendar table with the same results
Measure 2 =
var varDate = SELECTEDVALUE(CalendarTable[Date])
var varProduct = SELECTEDVALUE('Table'[Product])
return
CALCULATE([SumAmount],CalendarTable[Date]<=varDate,'Table'[Product]=varProduct,VALUES(CalendarTable[Year]))
Result in each case does not show C in Feb-23:
Expected results:
PBIX file
https://drive.google.com/file/d/1n4QcTUZHKGKPurARPLTHczo4df5iybCG/view?usp=sharing
Solved! Go to Solution.
Expertise = List.Accumulate( {Days as from Today}, {Skills and Knowledge}, (Current, Everyday) => Current & Day.LearnAndPractise(Everyday) ) |
This does not produce the desired results
Desired Result:
Actual result:
Your period name came from your date table ?
Period name is just FORMAT('Table'[Date],"mmm-yyyy"). See the pbix file https://drive.google.com/file/d/1n4QcTUZHKGKPurARPLTHczo4df5iybCG/view?usp=sharing
Ok here it is
I have changed 2 columns on your matrice :
I choose product from Table
I choose Yearmonth from your calendar Table
MEASURE =
VAR Product =
SELECTEDVALUE ( 'Table'[Product] )
VAR SelDate =
SELECTEDVALUE ( CalendarTable[YearMonthnumber] ) //your table period name
//now searching from the last day for this period yyyymm
VAR Lastday =
MAXX (
FILTER ( CalendarTable, CalendarTable[YearMonthnumber] = SelDate ),
CalendarTable[Date]
)
VAR SelYear =
YEAR ( Lastday )
VAR result =
CALCULATE (
SUM ( 'Table'[Amount] ),
'Table'[Date] <= Lastday
&& 'Table'[Product] = Product
&& YEAR ( 'Table'[Date] ) = SelYear
)
RETURN
result
The result of your formula is not a cumulative sum. Its just a normal sum.
Hi,
You are right sorry !!
Just add all(table) at the end like this
MEASURE =
VAR Product =
SELECTEDVALUE ( 'Table'[Product] )
VAR SelDate =
SELECTEDVALUE ( CalendarTable[YearMonthnumber] ) //your table period name
//now searching from the last day for this period yyyymm
VAR Lastday =
MAXX (
FILTER ( CalendarTable, CalendarTable[YearMonthnumber] = SelDate ),
CalendarTable[Date]
)
VAR SelYear =
YEAR ( Lastday )
VAR result =
CALCULATE (
SUM ( 'Table'[Amount] ),
'Table'[Date] <= Lastday
&& 'Table'[Product] = Product
&& YEAR ( 'Table'[Date] ) = SelYear,
)
RETURN
result
HI
Please fiond the measure :
Cumul =
VAR Product =
SELECTEDVALUE ( 'Tot Prod'[Product] )
VAR SelDate =
SELECTEDVALUE ( 'Tot Prod'[Date] )
VAR SelYear =
YEAR ( SelDate )
RETURN
CALCULATE (
SUM ( 'Tot Prod'[Amount] ),
'Tot Prod'[Date] <= SelDate
&& 'Tot Prod'[Product] = Product
&& YEAR ( 'Tot Prod'[Date] ) = SelYear
)
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