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Hey guys,
I need to make a line chart with monthly cumulative values for a measure I made. The measure tells me how many projects were finished on time (%).
The measure is below:
On time = DIVIDE (
CALCULATE ( COUNT ( baseLIC[On time?] ); baseLIC[On time?] = "Yes" );
CALCULATE ( COUNT ( baseLIC[On time?] ); ALLSELECTED(baseLIC[On time?]) )
)
Not sure the usual sumx or calculate suggestion works because it´s not really a sum.
I think the idea is to calculate for each month the cumulative total amount of projects with (Yes) divided by the cumulative total amount of projects (Yes+No).
Any suggestions?
Thanks!
Solved! Go to Solution.
Hi,
Share some data and show the expected result.
Hey guys. Thanks. I have a simple dataset in the link below.
https://www.dropbox.com/s/as25atr7ls4vq20/Sample%20Data.xlsm?dl=0
Cheers.
Hi Ashish,
The link isn´t working.
Can you try again?
Hi @karimk,
If the solution is acceptable, please mark the useful/helpful reply as answer, and welcome to share your own solution. More members will get workaround easily and clearly.
Thanks,
Angelia
Hi,
The link is working just fine. Please retry.
Hi @karimk,
Based on my understanding, you create a line chart, the month is set on Axis, the y-axis shows how many projects were finished on time (%). If it is, please creat a table including month column, try to create a measure using the following formula and check if it works fine.
cumulative total11 = VAR current = MAX ( 'Month'[Month] ) RETURN DIVIDE ( CALCULATE ( COUNT ( baseLIC[On time?] ), FILTER ( baseLIC, baseLIC[Month] <= mm && baseLIC[On time?] = "Yes" ) ), CALCULATE ( COUNT ( baseLIC[On time?] ), FILTER ( baseLIC, baseLIC[Month] <= mm ) ) )
For your measure posted, I don't know why do you use ALLSELECTED? There is a slicer in your report? We assume create a measure named("Onetime") to calculate how many projects were finished on time (%), we should get "Onetime" for Jan, "Onetime" of Jan+Feb on Feb month, "Onetime" of Jan+Feb+Mar on Mar month and so on.
In addition, you'd better share some sample data, you can create dummy data and expected result for better analyzing. So that we can reproduce your scenario.
Thanks,
Angelia
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