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A lot of R's popularity and usefulness has to do with the libraries that are available in it. I would put up with almost any amount of BS from base R to use ggp
by levocardia 3y ago
A lot of R's popularity and usefulness has to do with the libraries that are available in it. I would put up with almost any amount of BS from base R to use ggplot and the tidyverse, and ditto for a number of modern stats algorithms. In many cases, Python implementations of the same techniques are either woefully outdated or completely nonexistent.
- dan-robertson 3y agoWhen I’ve seen attempts at ggplot2 or dplyr in other languages, one issue is bad performance or bugs, but it’s also been a problem that the language features seem to allow those libraries to be much more ergonomic. eg I found Julia much less nice to use for those sorts of things despite it seeming light it ought to be well suited (making a reasonably good claim to a lot of CL heritage for example)
- disgruntledphd2 3y agoPlotnine is a pretty good implementation of ggplot2, apart from the necessity to quote variable names it seemed to work almost perfectly.