That's ok, I can run some filters to clean up bad data. Any really high or really low points generally need to go--they're going to be either typos, intentionally incorrect submissions, or outliers--case in point, my entry for the Mahogan Toboggan a little while ago, which was well over double the average price--I know that it's correct, but I'm also sure that it just represents all the reasonably priced items having sold out and nobody jumping in to fill the void yet. For any practical purposes (for buying or selling) these outliers are useless anyway, regardless of the reason for their presence in the dataset.