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All the Perl that's Practical to Extract and Report

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  • I would tend to think that's right, but it's counter to what a lot of other people report. Is it just the way different people count?

    It would be really cool to see a Venn diagram sorta thing to see how they all overlap, but I guess that would be too many dimensions. :)

    Any chance of sharing the code? Maybe as an article for The Perl Review? :)
    • Any chance of sharing the code?
      I've posted it to perlmonks [].

      Its pretty simplistic, so I don't think its TPR-worthy.

      Many will question the "sampling" technique, but I'm assuming the spurious datapoints are as likely in PHP/Python/Ruby samples as Perl (which is why I added the "Mixed" datapoint for each language). As importantly (albeit subjectively), I think job listings are a much better metric than the usual book sales or (perhaps worst) web search metrics.

      And yes, I pondered a Venn diagram, but DBD::Chart can't do that yet ;^). I thought about using a quadtree, but that would likely have made an even more pronounced difference between Perl and the rest (ie, one huge square for Perl, and 3 small squares for the rest). I hope to keep a log of the daily results, and eventually create a trend line for it, but that'll take a much bigger sample (as the 2 year results indicate).

      As always, there's lies, damn lies, and statistics. But its nice to inject some hard numbers into religious debates.