Thank you! I'll work on this and see if I can make some progress.

sub calcPercentages {
    # INPUT: Hash reference
    # Determine the total amount of attributes
    # Walk through each category: Circle, Triangle, ...
    # Take the hit count divided by the total amount of attributes (mu
+ltiplied by 100?)

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For clarification, "# Take the hit count divided by the total amount of attributes (multiplied by 100?)" would actually be divide by the total number of files in each category. So if there are four files in the square category (four instances of square in this case) then the percentage would be the hit count for the current attribute divided by the number of possible hits for that attribute in that category. So if attribute 1 has 3 total hits across the 4 occurrences of square, the percentage would be 3/4, or .75.

In reply to Re^8: Best way to store/access large dataset? by Speed_Freak
in thread Best way to store/access large dataset? by Speed_Freak

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