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Comment by SudarshanP | Hacker News Reader

On the top right the scripting languages() seem to be below the diagonal and the compiled languages above the diagonal. Maybe it is just co-incidental :).

I have suggestion for another chart someone may be interested in creating. A time series of such images. It would be even more awesome if the traces all the movements are depicted in a single image like a snake.

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Actually, I suspect you could rotate the graph 45 degrees clockwise and have the vertical axis as "code for profit (high) vs code for fun (low)".

The horizontal axis would just be popularity.

we're waiting until we have a couple of quarters of data, but then yes, a time series is indeed in the works.

afaict the "popularity" of most of those languages is being grossly distorted when you convert the "# of Tags" and "# of Projects" data to rankings.

(You haven't provided raw data, so I'll take an example from the raw data Drew Conway posted.)

The range in rank value for the stackoverflow tags is from 1 to 56, but the range in "# of Tags" that rank is based upon is from 0 to 82,923 and the data is so skewed that only 11 of 56 languages have above average "# of Tags".

Most spreadsheets will provide easy to use functions to calculate the mean, standard deviation, and normalized scores (STANDARDIZE in LibreOffice).

Please plot normalized data not rankings.

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Similarly, the range in rank value for the github "# of Projects" is from 1 to 56, but the range in "# of Projects" is more like 0 to 104,239!

http://www.r-chart.com/2010/08/github-stats-on-programming-l...

I would like to see the "Repositories vs. Users" graph in a log-log scale, so it's possible to see the distribution of the big and small languages simultaneously.

Better, use 2 charts -- the first to show the big difference between the popular languages and the others, the second to show the minor differences among the others.

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