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SUBMIT YOUR IDEASo, this challenge confused me a little bit.
We needed to "include only items of clothing that have at least 10 positive feedback reviews". And the solution just filters out the rows accordingly.
BUT, as each clothing ID might be present more than once in the data, it is only natural that the first few times it was purchased, it would not have more than 10 positive feedbacks. Why should we throw away these ratings?
As an alternative, I first found the clothing ID's that had more than 10 positive feedbacks at some point, and then included all their ratings in the average rating computation. This, of course, has resulted in completely different results :)
Nice