5 ms·
we're waiting until we have a couple of quarters of data, but then yes, a time series is indeed in the works.
by sogrady 14y ago
we're waiting until we have a couple of quarters of data, but then yes, a time series is indeed in the works.
- igouy 14y agoafaict 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. --- 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-languages.html http://www.r-chart.com/2010/08/github-stats-on-programming-l...
- gus_massa 14y agoI 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.
- igouy 14y agoBetter, 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.