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I am trying to get the averages of specific models with a Min and Max. The average is then adjusted for a 25% error removing any data that is above the 25% average or below the 25% average. The example below is for the PC the average of all 3 is 100.6 with a min of 78 and a max of 134 When i take out the data with the average higher than the 25% mark the new average is 84 with a min of 78 and max of 90. What formulas can i do to:
1. Get the average of of just the PC, DC, or EC
2.Use the 25% varience of the average to remove data 25% above and 25% below the average
Solved! Go to Solution.
@Anonymous,
You may refer to the measure below.
Measure = VAR a = AVERAGE ( Table1[Sales] ) RETURN AVERAGEX ( FILTER ( Table1, ABS ( Table1[Sales] / a - 1 ) <= 0.25 ), Table1[Sales] )
@Anonymous,
You may refer to the measure below.
Measure = VAR a = AVERAGE ( Table1[Sales] ) RETURN AVERAGEX ( FILTER ( Table1, ABS ( Table1[Sales] / a - 1 ) <= 0.25 ), Table1[Sales] )
Hi @Anonymous
You could create a new column in your table:
Table1[Adjusted_Sales] = VAR _Average=CALCULATE(AVERAGE(Table1[Sales]);ALLEXCEPT(Table1;Table1[Models])) RETURN IF(Table1[Sales]>_Average*1,25 || Table1[Sales]<_Average/1,25;
BLANK();
Table1[Sales])
The new column will have only the values that are within 0,75 and 1,25 of the average (per model). You can then place than column in a matrix for instance to extract min, max, average, etc.
Thanks AIB
I am trying to use measure with the actual data
@Anonymous
This is a column, not a measure.
It doesn't look like you are copying exactly what I wrote previously. Try it like this:
ADJUSTED_Sales = VAR _Average = CALCULATE ( AVERAGE ( 'ASSETS '[Sales USD] ), ALLEXCEPT ( 'ASSETS ', 'ASSETS '[ Models] ) ) RETURN IF ( 'ASSETS '[Sales USD] >= _Average * 1.25 || 'ASSETS '[Sales USD] <= _Average / 1.25, BLANK (), 'ASSETS '[Sales USD] )
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