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I am trying to determine a way to quantify the product co-ordering between different invoices.
Essentially, for a given product, what other products have been ordered with it, and how many times were the products ordered together
Example Data
Invoice number Product
11111 Product A
11111 Product B
11111 Product C
11111 Product D
22222 Product C
22222 Product E
33333 Product A
33333 Product E
33333 Product F
Selection/Filter: Product A
Product A 2 (this should equal the total count of that product ordered)
Product B 1
Product C 2
Product D 1
Product E 0
Product F 0
With a specific product selected, I want look at the other Invoices where that product was ordered, and determine the other products co-ordered, then calculate the frequency.
So with this example; for invoices where Product A was ordered,
Products B, C and D have been co-ordered, and C is the most commonly co-ordered product.
Another example
Selection/Filter: Product C
Part A 2
Part B 1
Part C 3 (this should equal the total count of that product ordered)
Part D 1
Part E 1
Part F 1
I am not getting the exact same results as you have put down, but can you explain why Product E and Product F are 0? In order 33333 we have A, E, F.
Expression:
=Count(DISTINCT {<[Invoice number] = p([Invoice number]), Product>}[Invoice number])
@ Sunny T
My mistake, I made an error when I copied the example over.
Do your answers look like this?
Selection/Filter: Product A (yep it look like this one does as you have shown above)
Product A 2 (this should equal the total count of that product ordered)
Product B 1
Product C 1
Product D 1
Product E 1
Product F 1
Selection/Filter: Product C
Part A 1
Part B 1
Part C 2 (this should equal the total count of that product ordered)
Part D 1
Part E 1
Part F 0
It works, however I think I need to do some deeper analysis on my data set to confirm
Sure, see if it work or not