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I know, I've fixed the issue in the data script by replacing zeroes with 0.5 for those who haven't scored anything.
Case closed. Thank you all.
Presumably, you've got some form of zero-value suppression turned on?
assuming 47.7% is not correct & 75.3 % is correct? can you explain how you got the 75.3%? if you are doing avg of rows then you have to use below option
Regards,
Prashant Sangle
no
I know. It result with the same total score
great. then what is the issue?
I'd suggest you double-check that. Zero suppression or another form of limitation (such as Top N) is by far the most common reason for what you're describing.
@NenadV One possibility is that you have duplicate values for the combination of dimension you are using. Try aggregating values like below
= avg(aggr(avg(OS_Score), IBP_Cycle, Attendee))
it could be these
how to overcome it as there are no limitations?
ok, thx.
this formula doesn't work as it result with -