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I am trying to do below calculation
Sum of Terms / Average Headcount as example using 1/1/20+2/1/20 ...
230+231 = 461 (Sum of Terms)
3651+3696 =7,347 / 2 =3,673.5 (average headcount)
461/3,673.5 = 12.55% but measure shows 12.71% need help with DAX
see screen shots below
Solved! Go to Solution.
@jcastr02 Sorry, having trouble following, can you post sample data as text and expected output?
Not really enough information to go on, please first check if your issue is a common issue listed here: https://community.powerbi.com/t5/Community-Blog/Before-You-Post-Read-This/ba-p/1116882
Also, 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.
Hello @Greg_Deckler I've provided an example above in screen shot using 1/1/20 +2/1/20
I should have % at 12.55% - Can you take a look at my measure below to see what is incorrect.... trying to do sum of terms / average headcount
@jcastr02 - Sorry, but I am not hand typing all of that in order to mock up a model. Maybe someone else will.
Hope you are doing like
divide(sum(Table[Terms]), Average(Table[Headcount]))
Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.
@amitchandak Hello, please see screen shot of query above, the count type is in a different column ... I also provided an example in the screen shot in lower left side...
In my visual, I'm showing it by month..... Query data provided below - + also screen shot of my visual table...
Attrition should be 12.55% (Sum of Terms / Average Headcount) and looking at this data by month
| Query Data | |||
| Business Unit | File_date1 | Count | Count Type |
| Miami | 1/1/2020 | 581 | Headcount |
| Chandler | 1/1/2020 | 704 | Headcount |
| Orlando Care | 1/1/2020 | 699 | Headcount |
| Orlando Support | 1/1/2020 | 1081 | Headcount |
| Muscle Shoals | 1/1/2020 | 586 | Headcount |
| Orlando Support | 1/1/2020 | 17 | Terms |
| Miami | 1/1/2020 | 36 | Terms |
| Chandler | 1/1/2020 | 64 | Terms |
| Muscle Shoals | 1/1/2020 | 19 | Terms |
| Orlando Care | 1/1/2020 | 95 | Terms |
| Muscle Shoals | 2/1/2020 | 554 | Headcount |
| Orlando Support | 2/1/2020 | 1100 | Headcount |
| Chandler | 2/1/2020 | 729 | Headcount |
| Miami | 2/1/2020 | 523 | Headcount |
| Orlando Care | 2/1/2020 | 790 | Headcount |
| Chandler | 2/1/2020 | 31 | Terms |
| Orlando Support | 2/1/2020 | 25 | Terms |
| Orlando Care | 2/1/2020 | 109 | Terms |
| Miami | 2/1/2020 | 42 | Terms |
| Muscle Shoals | 2/1/2020 | 23 | Terms |
visual
@jcastr02 , Try
Divide(sumx(filter(Table, Table[CountType]= "Headcount"),Table[Count]),AverageX(filter(Table, Table[CountType]= "Terms"),Table[Count]))
or
Divide(sumx(filter(Table, Table[CountType]= "Headcount"),Table[Count]),Divide(SumX(filter(Table, Table[CountType]= "Terms"),Table[Count]),Countx(filter(Table, Table[CountType]= "Terms"),Table[Count])))
if this does not work out. Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.
@Greg_Deckler Hello Greg, sorry about that, does this help?
Business Unit File_date1 Count Count Type
| Miami | 1/1/2020 | 581 | Headcount |
| Chandler | 1/1/2020 | 704 | Headcount |
| Orlando Care | 1/1/2020 | 699 | Headcount |
| Orlando Support | 1/1/2020 | 1081 | Headcount |
| Muscle Shoals | 1/1/2020 | 586 | Headcount |
| Muscle Shoals | 2/1/2020 | 554 | Headcount |
| Orlando Support | 2/1/2020 | 1100 | Headcount |
| Chandler | 2/1/2020 | 729 | Headcount |
| Miami | 2/1/2020 | 523 | Headcount |
| Orlando Care | 2/1/2020 | 790 | Headcount |
| Orlando Support | 1/1/2020 | 17 | Terms |
| Miami | 1/1/2020 | 36 | Terms |
| Chandler | 2/1/2020 | 31 | Terms |
| Orlando Support | 2/1/2020 | 25 | Terms |
| Chandler | 1/1/2020 | 64 | Terms |
| Orlando Care | 2/1/2020 | 109 | Terms |
| Miami | 2/1/2020 | 42 | Terms |
| Muscle Shoals | 1/1/2020 | 19 | Terms |
| Orlando Care | 1/1/2020 | 95 | Terms |
| Muscle Shoals | 2/1/2020 | 23 | Terms |
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