![]() It is quite un-intuitive for someone coming with a programming background, and has weird quirks - such as only being able to keep on dataset in memory at a time. For example, work with text etc is out of the picture. Furthermore, while this is excellent for canned statistical and econometric procedures, the programming language itself is not anywhere near as developed as something like R. But there are other free options, such as R. ![]() You're paying for something that is reliable, tried and true, with a great support network. Has a lot of related features like heatmaps, producing production-quality regression tables, etc. The graphics capabilities are also easy to use and very high quality. It also has a matrix programming language (Mata). Online support through the statalist forum is also amazing. Reliable and fast, with a huge library of procedures built in, and an even bigger user-contributed library. This is statistical programming software that is excellent for canned econometric procedures. ![]() But for more general purpose statistical work, R is not only free, but better (even though it is more buggy). If you're willing to pay for it, performance is even better - using up to 64 cores. And it does these things reliably and fast, with a good support network. There are some things that Stata does extremely well - the statistics and econometrics in particular. ![]()
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