3 ms·
I wonder if the data could be normalized against usage statistics somehow. Maybe not perfectly effectively, but at least better than as-is, precisely because th
by wjn0 10y ago
I wonder if the data could be normalized against usage statistics somehow. Maybe not perfectly effectively, but at least better than as-is, precisely because the number of people "switching" is so much smaller than the number using a given language.
- cormacrelf 10y agoPresumably also on a time series. People used to switch from Ruby to Node.js, now they switch to ???
- The_suffocated 10y agoAgree. Depending on what one wants to measure, giving every sample equal weight can be potentially wrong.
- The_suffocated 10y agoIf you mean to account for the larger variances of rarer events, that would be difficult. Perhaps some bootstrap sampling methods may help, but we need a true statistician here.
- LeifCarrotson 10y agoNormalization would be extremely helpful indeed. C, C#, C++, Java, and Python are all very popular languages and have large values in both dimensions, which isn't particularly useful.
- brightball 10y agoIt would be interesting if the results could be controlled for time. Age of the language, year to year switch rates, etc.