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Hmm I am curious, how would you do data cleaning without doing data exploration first -- and in what way do you find Python superior to R for that purpose? Als
by xixi77 11y ago
Hmm I am curious, how would you do data cleaning without doing data exploration first -- and in what way do you find Python superior to R for that purpose?
Also I assume that by "something non-standard" you mean something other than a way to analyze it? Because there is really no comparison wrt available analysis packages between the two...
Not trying to say that R is perfect and great for everything, definitely not, I just have a hard time imagining a data-processing task for which I would choose Python over R (I might pick SAS over either one of them though...)
- bigger_cheese 11y agoHow does R compare to SAS? I work in Engineering and we use SAS pretty heavily for a lot of stuff (simple modelling, time series forecasting, multiple regressions that type of thing). One thing I really like is how well integrated SQL is does R have something similar to PROC SQL? That is really the killer feature of SAS for me.
- christopheraden 11y agoI use SAS professionally at my job, and R in all my academic/hobby work. R has a couple packages that give similar functionality as PROC SQL (about 95% of my SAS workflow, since it's far nicer than data steps for a lot of things). There's an ODBC package (RODBC), as well as SQLDF, which allows you to use SQL queries to manipulate data frames in R. While there is (almost?) always a way to do a SQL query using idiomatic R, I have to admit that sometimes my brain thinks up a solution in SQL faster (a product of upbringing).