03-06-2013
Quote:
Originally Posted by
JoshCrosby
Thank you so much, based on the dataset it is perfect.. however on the larger files it takes quite a while which is fine. The one issue is that its not taking product (column 1) into account and seems to be grouping on the count
Any ideas? I sincerely appreciate your help.
Some logic
-> product (sort by top 3 - based on how many rows it appears on)
----> skew (sort by top 5 skews from the products found above)
----> count of skews
I hope that helps explain a bit more.
A bit more, yes. But still not clear. In your sample input there are 6 occurrences each of products p1, p2, p3, and p4. You say you want the top 3 products, but your sample output only shows 2. (And since there are four products with the same number of occurrences, you don't say how to choose which 3 of those 4 should be chosen.) Your sample output didn't show the top 2 product/skew pairs p1/12345 and p2/23456 both of which appear 6 times even though p1 and p2 appear the same number of times as p3 and p4???
From what you did with your 1 count sample, you chose the last two of the set of the four most common products based on the fact that their product names sorted last. Is that really what you want?
If there are ties, should your results include all products that match the number of occurrences of the third most common product? If there are ties in the number of appearances of a skew within a product, should the results include all skews with the fifth most common skew within that product?
Will a single skew ever appear with more than one product, or are skews supposed to be unique to a product.
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