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I have this data:
Date | MasterCategory | SubCategory | Amount |
8-August-2022 | Food | Grocery | 200 |
8-August-2022 | Food | Grocery | 31 |
8-August-2022 | Food | Restaurant | 40 |
8-August-2022 | Shopping | Electronics | 30 |
9-August-2022 | Food | Grocery | 10 |
10-August-2022 | Shopping | Electronics | 5 |
11-August-2022 | Food | Restaurant | 10 |
my goal is to generate:
Date | MasterCategory | SubCategory | Amount |
8-August-2022 | Food | Grocery | 231 |
8-August-2022 | Food | Restaurant | 40 |
8-August-2022 | Shopping | Electronics | 30 |
9-August-2022 | Food | Grocery | 10 |
9-August-2022 | Food | Restaurant | 0 |
9-August-2022 | Shopping | Electronics | 0 |
10-August-2022 | Food | Grocery | 0 |
10-August-2022 | Food | Restaurant | 0 |
10-August-2022 | Shopping | Electronics | 5 |
11-August-2022 | Food | Grocery | 0 |
11-August-2022 | Food | Restaurant | 10 |
11-August-2022 | Shopping | Electronics | 0 |
Please do note that amount value in first row of above column is sum by master,sub and date.
I have got this partially worked out with below code but it is missing the mastercategory column, hopefully someone can help me:
/* START QUERY BUILDER */
DEFINE MEASURE
'myBank'[Sum_Measure] =
VAR _A =
ADDCOLUMNS (
CROSSJOIN ( VALUES ( 'myBank'[SubCategory] ), VALUES ( 'myBank'[Date] ) ),
"M1",
CALCULATE (
SUM ( 'myBank'[Amount] ),
FILTER (
'myBank',
'myBank'[SubCategory] = EARLIER ( [SubCategory] )
&& 'myBank'[Date] = EARLIER ( [Date] )
)
) + 0
)
VAR _B =
SUMX ( _A, [M1] )
RETURN
_B
EVALUATE
SUMMARIZECOLUMNS(
myBank[SubCategory],
myBank[Date],
"Sum Col", [Sum_Measure]
)
ORDER BY
myBank[Date]
/* END QUERY BUILDER */
Solved! Go to Solution.
@farooqk , I think a simple measure with dimension should do if needed add a date table too .
Please find the file attached
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