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So, here is a measure that works just fine when I'm using the Daily calendar. What could be the possible directions for doing the same when using Hourly calendar?
Cumulative sum =
CALCULATE (
[Measure],
CALCULATETABLE (
SAMEPERIODLASTYEAR ( DATESYTD ( 'Daily calendar'[Date], "31/03" ))))
Solved! Go to Solution.
Hi @janislv ,
I tested your measure and I find that it will return the YTD sum of [Measure] after 03/31 by in last year. If you want to do the same with Hourly , I think time intelligence functions don't support you to do this. Try this code.
Here I want to get YTD sum of values after 06/01 8:00:00.
My sample:
Measure:
Measure 3 =
VAR _ADD1 = ADDCOLUMNS(ALL('Table'),"Year",YEAR('Table'[Date]),"Month",MONTH('Table'[Date]),"Day",DAY('Table'[Date]),"Hour",HOUR('Table'[Date]))
VAR _ADD2 = SUMMARIZE(_ADD1,[Year],"Sum", SUMX(FILTER(_ADD1,[Year]=EARLIER([Year])&&[Month]>=6&&[Day]>=1&&[Hour]>8),[Value]))
Return
SUMX(FILTER(_ADD2,[Year] = MAX('Daily calendar'[Year])-1),[Sum])
Result is as below.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @janislv ,
I tested your measure and I find that it will return the YTD sum of [Measure] after 03/31 by in last year. If you want to do the same with Hourly , I think time intelligence functions don't support you to do this. Try this code.
Here I want to get YTD sum of values after 06/01 8:00:00.
My sample:
Measure:
Measure 3 =
VAR _ADD1 = ADDCOLUMNS(ALL('Table'),"Year",YEAR('Table'[Date]),"Month",MONTH('Table'[Date]),"Day",DAY('Table'[Date]),"Hour",HOUR('Table'[Date]))
VAR _ADD2 = SUMMARIZE(_ADD1,[Year],"Sum", SUMX(FILTER(_ADD1,[Year]=EARLIER([Year])&&[Month]>=6&&[Day]>=1&&[Hour]>8),[Value]))
Return
SUMX(FILTER(_ADD2,[Year] = MAX('Daily calendar'[Year])-1),[Sum])
Result is as below.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Time intelligence functions address dataset at granularity of date.
Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
Hi @janislv
Can you post sample data as text and expected output?
Not enough information to go on;
please see this post regarding How to Get Your Question Answered Quickly:
https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490
The most important parts are:
1. Sample data as text, use the table tool in the editing bar
2. Expected output from sample data
3. Explanation in words of how to get from 1. to 2.
4. Relation between your tables
Appreciate your Kudos!!
LinkedIn:www.linkedin.com/in/vahid-dm/
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