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How to show "Materials Variance as % of Standard Material" in the table above calculated as Materials Variance /Standard Material?
Thanks
You may try it with an interrecord-function approach like:
above(TOTAL YourExpression, RowOffset)
whereby RowOffset could be a calculation counting the number of available dimension-values to access the target-row. By a complex chart it might be not trivial.
If this isn't practically you need to associate the relevant dimension-values in a way that they support such a calculation. Without knowing your dataset and the majority of your requirements in depth it's not possible to suggest a more detailed approach. In general you should consider to simplify the object maybe by using a different structure and/or distributing the information to several objects.
ca you please elaborate more about your requirement...
to show the numbers in percentage you can use like Num(sum(sales),'0.0%')
Thanks, this is not about format but how to read amount in one line and divide it by amount from another line.
To access any row/column you may use interecord-functions like above(). If not a single row/column is queried you will need to wrap it into a range-function like rangeavg().
But I assume you want to calculate certain rates against the next higher dimension-levels. n such case you may use a TOTAL statement like:
sum(Value) / sum(TOTAL Value)
it looks like there is no easy solution to this.
Maybe not so easy as you want it to be as a one-click-solution but it will be probably possible with slightly extended expressions.
can you please share one? Thank you
I hinted above different ways. It would be useful if you elaborate it in more detail which source-data should return which results.
Marcus, thank you for interest.
I need to show Overhead Variance / Standard Overhead *100, i.e.465/1259*100 = 37%
You may try it with an interrecord-function approach like:
above(TOTAL YourExpression, RowOffset)
whereby RowOffset could be a calculation counting the number of available dimension-values to access the target-row. By a complex chart it might be not trivial.
If this isn't practically you need to associate the relevant dimension-values in a way that they support such a calculation. Without knowing your dataset and the majority of your requirements in depth it's not possible to suggest a more detailed approach. In general you should consider to simplify the object maybe by using a different structure and/or distributing the information to several objects.