So, people with limited knowledge of SQL can learn it easily. As for speed - in the distant past (oh, say, back in the mid 90s), I recall writing Stata code which would do in 15 hours what SAS would do in 4 days. Of course - I suspect that the SAS programmers whose code I was duplication were not particularly attuned to being efficient. The title above only lists the major ones. But, last year, we received enough write-in requests to include Python in our survey that we decided to … If you are new to the world of data science and aren’t experienced in either of these languages, it makes sense to be unsure of whether to learn R, SAS or Python. Fall 2008 Handout on Using R/S-Plus Page: 1 Time Series Prepared by Will Garner Math 181E Statistical Software: SAS vs. Minitab vs. SPSS vs. R / S-Plus There are a wide variety of applications which can perform statistical analysis. Selecting variables you want to examine. R is open source software, So, anyone can use it. 1 Translation Syntax (SPSS, Stata, SAS and R) The Basics . Outputting your abbreviated data set SAS Vs. R . Calling in a data set. Over the past two years we’ve sent out an immensely popular SAS vs. R survey to our network of quantitative professionals, generating over 1,000 (often very passionate) responses each year. My take on the difference between R versus Stata and SPSS (and I guess SAS) is that the focus of R is on being a programming language that can be used for statistical analysis, while Stata & Co. are primarily data analysis programs. Ease of Learning : SAS is the easiest tools to learn. Parameters: SAS: R: Availability / Cost : SAS is commercial software, so it needs a financial investment. The Popularity of Data Analysis Software: R vs SAS vs SPSS A comparison of popularity of R, SAS, SPSS and other data analysis software packages, as measured by discussions, citations, jobs, and more. While considering whether to stick with Rstudio or switch to STATA to learn and advance my statistical analysis, I came to this website through the search of ‘STATA vs R’. Python, R and SAS are the three most popular languages in data science. My struggle with R was that it took me a lot of time finding info on getting one single command to …