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Combining filters and cumulative sum

I need to show the cumulative value of a sum of some columns, but I need to merge the cumulative sum with some restrictions aswell.

I have some filters that can be applied (like City, Department, id, and time period). For example, this code works:

Cumulative_sum = CALCULATE( SUM(Table[ColumnA]) + SUM(Table[ColumnB]) + SUM(Table[ColumnC]); FILTER(ALL(Table(TIME_PERIOD); Table[TIME_PERIOD] <= MAX (Table[TIME_PERIOD])))

When I tried to add the filter, my coding either returns an error or returns the cumulative sum starting on the time period filtered: For example, let's say I have a value of 10 in January, Feb, March, and April for the city A, department B. If I choose to show the values of March and April, it should show 30 and 40. However, the current graph shows the cumulative value of the filtered time period (and would show 10 and 20).

Here is what Im trying:

   Cumulative_sum = CALCULATE( SUM(TableA[ColumnA]) + SUM(TableA[ColumnB]) + SUM(TableA[ColumnC]); FILTER(ALL(TableB(TIME_PERIOD); TableB[TIME_PERIOD] <= MAX (TableB[TIME_PERIOD])); FILTER(ALLSELECTED(TableA); TableA


I have tried using the a column of time period inside TableA, and tried using TableB as a Time Period table independently. What is my mistake here?

Super User
Super User



Share a dataset and show the expected result.

Ashish Mathur

How can I attach a file?

Edit: I uploaded the file at if that's ok

You can see in the graph, when showing the last 5 months (calendar), that the value for the feb 26 is 64. When I change the filter to show the last 4 months (calendar), it gives back 10 for feb 26, and thats the problem: When I add the filter to check if situation = "OK", the cumulative filter stop working as intended. ( It should show 64)



Upload the file to Google Drive and share the download link here.

Ashish Mathur



Your question is not clear.  Convert the line graph into a simple Table.  Now tell e what exact numbers are you expecting against every date in the Time period column.

Ashish Mathur

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