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so the data I have is similar to this;
| category | volume | date | type |
| a | 1 | jan | group1 |
| a | 4 | jan | group1 |
| b | 12 | jan | group2 |
| c | 2 | jan | group1 |
| b | 7 | feb | group1 |
| a | 9 | feb | group2 |
| c | 10 | feb | group1 |
| c | 4 | feb | group2 |
| b | 8 | mar | group1 |
| c | 3 | mar | group1 |
| a | 1 | mar | group1 |
| a | 11 | mar | group2 |
and I have a page level filter of type; group1. I would like a graph that represents the percentage of volume per category, per month. like this;
the best I have is;
measure=
divide(
Calculate(sum(table[volume]),allexcept(table,table[type],table[date])),
calculate(sum(table[volume]),allexcept(table,table[date])
)
the issue with this is that the allexcept function doesnt take into account filters. can anyone help with a solution?
thanks!
sorry the graph didnt attach properly the first time, I need it to be a percentage of the total per month but without loosing the filter. something like this;
| A | B | C | |
| JAN | 71% | 0% | 29% |
| FEB | 0% | 41% | 59% |
| MAR | 8% | 67% | 25% |
Can you be a bit clearer @Anonymous on what you need? Let's start with the table visual. Much easire to see what is happening then we can convert to a line or bar chart.
I have this right now:
But I am pretty sure that is not what you want. I see the measure you wrote, but you are just saying it doesn't work. if you could provide some expected output. Create a mockup in Excel using this data with the numbers you want and how the filter pane or slicers would/would not affect it it would be helpful. Screenshots for expected results is ok.
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