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Hi Guys
I have spent over past 2 days trying to figure out a solution to this problem, i have been asked to create a SPC by a client, in which the main table is in this a raw format with multiple rows i.e customer name, day, number of sales etc
C TABLE
Customer name, day, number of sales
A 1 10
B 1 10
C 1 20
A 2 10
B 2 40
So i have managed to create an aggregate table using mixture of different measures which looks like this with day as filter
Customer name Number of sales Mean My ideal answer
A 20 30 13.33
B 50 30 13.33
C 20 30 13.33
90 30
Mean is calculated using measure
M Measure
Total number of sales = SUM(C[Number of Sales])
DISTINCT COUNT of CUS = DISTINCTCOUNT(C[Customer name])
Mean = CALCULATE (DIVIDE(M[Total Number of Sales], M[DISTINCT COUNT of CUS], ALLEXCEPT(C, C[Day]))
I have tried to apply the similar logic to work out Standard Derivation using STDV.P against C[Number of sales], but realised that the STDV.P is calculating the derviation of the C table and not the aggregate table.
So next i have tried using the same approach with SQRT((Total Sales - Mean)^2) - but realised that the result showing as
A SQRT( (20-30)^2)
B SQRT( (50-30)^2)
C SQRT( (20-30)^2)
SQRT( (90-30)^2) <<<< which is wrong it should be average of all above
My ideal answer for all rows for the aggregate table should be
AVERAGE( SQRT( (20-30)^2) + SQRT( (50-30)^2) + SQRT( (20-30)^2)) which is STDV.P on my aggregate NOT my table
I am getting to stage of giving up and would be grateful if any guru or master can help!!!!!!!!!!!!!!!!!!
Happy to share the file
Solved! Go to Solution.
update**
Managed to solve the problem by using
3 seperate measure:
1. calculate the sum of values (using SUM( No of Sales ) )
2. Using STDEVX.P( C Table, SUMMARISE(Customer Name, CALCULATE ( 1st Measure ))
3. CALCULATE( 2nd Measure, ALLSELECTED(Customer Name)
Hopefully this will help others with the similar problem
update**
Managed to solve the problem by using
3 seperate measure:
1. calculate the sum of values (using SUM( No of Sales ) )
2. Using STDEVX.P( C Table, SUMMARISE(Customer Name, CALCULATE ( 1st Measure ))
3. CALCULATE( 2nd Measure, ALLSELECTED(Customer Name)
Hopefully this will help others with the similar problem
Hi @Anonymous
You may try below measure:
answer = VAR a = SUMMARIZE ( ALLEXCEPT ( C, C[day] ), C[Customer name], "b", SQRT ( ( [Total number of sales] - [Mean] ) ^ 2 ) ) RETURN AVERAGEX ( a, [b] )
Regards,
Cherie
thanks for your reply - will have a look and get back to you.
Much appreciated !!
Hi @Anonymous
Could you tell me if your problem has been solved? If it is,kindly mark the helpful answer as a solution and welcome to share your own solution. More people will benefit from here. If not, please share more details for us so that we could help further on it.
Regards,
Cherie