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6 Month Rolling Averages.
Any thoughts on how to get the Rolling Average to start at the actual 6 month position?
It is taking 6 Months to become accurate in this chart (at the yellow blob)
At Month 1, there is only 1 Month of data in the Chart therefore it is an average of 1 month.
At Month2, there are only 2 Months of data in the Chart therefore it is an average of 2 months ,
And so on.
Its not a shortage of data in the datamodel. It goes back years. Its just when the Chart is filtered to show a certain time period the 6 Month average rolling position at the start of the chart is incorrect (in fact it is always incorrect but becomes more obvious when looking at smaller time intervals)
Thanks
Only thing I can think of is using AGGR and SET ANALYSIS to override the date filters you have to calculate the rolling average for the entire time period as though nothing was filtered.
Hi Dalton,
How do i modify this please?
A basic 6 Mth Rolling Average is:
RangeSum(Above(Sum(TimeToClose), 0, 6)) / RangeMin(6, RowNo())
Modifying to this doesn't work:
RangeSum(Above(aggr(Sum({<ClosedMonth>}TimeToClose),ClosedMonth), 0, 6)) / RangeMin(6, RowNo())
Thanks,Colin
try this sum( aggr( rangesum( above( sum(TimeToClose),0,12)),ClosedMonth)) instead