Forum Discussion
Under Over representation
- 5 years ago
@vikash_1108 - Funny, I thought this is where this was going, so he actually cooked it that way last night before I went to bed. I didn't publish it because this version of the measure actually returns the exact same numbers as if you take the first measure, add it to the visual, and then choose Show values as . Percentage of the total column. I just wanted to do it to prove I could do it. But, here it is with updated PBIX attached, same page 9, Table 9. The old code is lines with // comments. Finally, remember me when you answer, I almost lost track of this thread!!
Measure 9 Column % of Row % = VAR __Age = MAX([Age - Category]) VAR __Table = ADDCOLUMNS(SUMMARIZE(FILTER(ALL('Table (9)'),[Age - Category]=__Age),[District - Category]),"__Measure",[Measure 9 Row %]) // VAR __All = SUMX(__Table,[__Measure]) VAR __All = IF(HASONEVALUE('Table (9)'[District - Category]),CALCULATE([Measure 9 Row %],ALLEXCEPT('Table (9)','Table (9)'[Age - Category])),[Measure 9 Row %]) VAR __Cell = [Measure 9 Row %] RETURN //IF(HASONEVALUE('Table (9)'[District - Category]),DIVIDE(__Cell,__All,0),[Measure 9 Row %]) DIVIDE(__Cell,__All,0) - 5 years ago
@vikash_1108 - Oh, yes, I got it, duh. Updated PBIX, Page 17, Table (17). The second measure is identical to the reference changes in the measure and table names.
Measure 17 Row % = VAR __Age = MAX([Age - Category]) VAR __District = MAX([District - Category]) VAR __Cell = SUM([Member Count]) VAR __All = IF(HASONEVALUE('Table (17)'[District - Category]),SUMX(FILTER(ALL('Table (17)'),[District - Category] = __District),[Member Count]),SUMX(ALL('Table (17)'),[Member Count])) RETURN DIVIDE(__Cell,__All,0) Measure 17 Column % of Row % = VAR __Age = MAX([Age - Category]) VAR __Table = ADDCOLUMNS(SUMMARIZE(FILTER(ALL('Table (17)'),[Age - Category]=__Age),[District - Category]),"__Measure",[Measure 17 Row %]) // VAR __All = SUMX(__Table,[__Measure]) VAR __All = IF(HASONEVALUE('Table (17)'[District - Category]),CALCULATE([Measure 17 Row %],ALLEXCEPT('Table (17)','Table (17)'[Age - Category])),[Measure 17 Row %]) VAR __Cell = [Measure 17 Row %] RETURN //IF(HASONEVALUE('Table (17)'[District - Category]),DIVIDE(__Cell,__All,0),[Measure 17 Row %]) DIVIDE(__Cell,__All,0)
Member ID | Age - Category | District - Category |
| A | 23 | z |
| b | 23 | z |
| c | 23 | x |
| d | 29 | s |
| e | 29 | s |
| f | 29 | z |
| g | 36 | z |
| h | 36 | x |
| i | 36 | x |
| j | 36 | z |
| k | 67 | z |
Hi greg
I have included sample data.
1. So in first instance you will have pivot of District (row) over Age (coloum), counting members.
2. Then at each district level you will find proportion of member count
3. then as final calc you will get the proportion of member count in (2) divided by total proprtion of member count for that column (i.e. Age)
Hope this will help you derive the formular
Thanks Vikash
Hi,
Please share the exact result that you are expecting.