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Hi,
I have a table, pictured below.
The item I'm focused on is labeled A.
It is using the measure in B.
I want the value displayed in A to be 15.18 (the average of all 20 items) but instead it is returning 16.35, which is the average of the 18 items which do not equal zero percent.
Each percentage in the Conversion% column is correct; it's just the grand average at the bottom.
I've also included an export of that data.
Primary Loan Officer Name | YTD Apps | YTDFunded | Conversion % |
A | 227 | 33 | 14.54% |
B | 123 | 20 | 16.26% |
C | 17 | 2 | 11.76% |
D | 8 | 1 | 12.50% |
E | 84 | 18 | 21.43% |
F | 17 | 4 | 23.53% |
G | 168 | 30 | 17.86% |
H | 264 | 40 | 15.15% |
I | 76 | 16 | 21.05% |
J | 17 | 2 | 11.76% |
K | 52 | 9 | 17.31% |
L | 64 | 14 | 21.88% |
M | 22 | 4 | 18.18% |
N | 119 | 15 | 12.61% |
O | 17 | 0 | 0.00% |
P | 70 | 10 | 14.29% |
Q | 114 | 14 | 12.28% |
R | 1 | 0 | 0.00% |
S | 74 | 16 | 21.62% |
T | 87 | 17 | 19.54% |
Hi @apmulhearn
Take into account that if you use your formula, it will divide the SUM of grand total: that is: 265/1621.
You can achieve the correct result by using AVERAGEX
Conversion % = AVERAGEX('Table',DIVIDE('Table'[YTDFunded],'Table'[YTD Apps],0))
Hi @mlsx4 . Thank you for the response. I've mimiced the measure you suggested, but now I'm getting all 100%. (The column labeled [YTD Apps] is called [YTDAppCount] in the data model and renamed in the visual.
Did I miss something that you can see?
Do you have any kind of filter that could be affecting?
I have tried again and this is my result:
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