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MarcinSV Regular Visitor
Regular Visitor

Total average in PBI table is not correct

Hi,

I don't understand why average in total is not correct, using standard table in powerbi.
In rows values are group by customers correctly (as average):
Customer A | 17,44
Customer B | 4,09
Customer C | 3,30
Customer D | 2,93
Customer E | 2,91
Customer F | 2,58
Customer G | 2,47

TOTAL: 4,07 -> not correct, should be average = 5,10

 

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siljamardla Regular Visitor
Regular Visitor

Re: Total average in PBI table is not correct

This is the expected behaviour. The total average will not take an average of the averages per customer. The total average will take an average from the original data.

View solution in original post

4 REPLIES 4
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siljamardla Regular Visitor
Regular Visitor

Re: Total average in PBI table is not correct

This is the expected behaviour. The total average will not take an average of the averages per customer. The total average will take an average from the original data.

View solution in original post

MarcinSV Regular Visitor
Regular Visitor

Re: Total average in PBI table is not correct

Of course!!! I was trying to calculate average from average 🙂

And its a difference like in example:

 

select (1+2) / 2. = 1.5

select (1+2+3) / 3. = 2

 

select (1.5 + 2) / 2 = 1.75 -> AVG from AVG

select (1+2+1+2+3) / 5. = 1.8 -> correct AVG

 

Thank's for help in showing the way 🙂

jmarchal Frequent Visitor
Frequent Visitor

Re: Total average in PBI table is not correct

Hello,

 

do you find the solution? 

 

I have the same problem.

 

I don't know how to calculate average of averages.

 

Thanks in advance.

MarcinSV Regular Visitor
Regular Visitor

Re: Total average in PBI table is not correct

Calculating average from average its not a good idea because:

 

select (1+2) / 2. = 1.5 -> this is average

select (1+2+3) / 3. = 2 -> this is average

 

then if you calculate avg from avge you have:  select (1.5 + 2) / 2 = 1.75 -> AVG from AVG
but proper calculate is: 
select (1+2+1+2+3) / 5. = 1.8 -> correct AVG

 

So it's not an error of PBI but mistake in calculating average from average (1.75 vs 1.8 on above example).

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