This Datacamp infographic compares the popular programming languages for statistical analysis - SPSS, SAS, and R. As more data is issued via APIs and databases, organizations are turning to one or more programming languages. As Datacamp has noted on its blog, a "language war" is underway, with statisticians and programmers debating the merits of their favorite language. This comparison explains well the differences, though there are variations and nuances depending on the purpose of the language. R has been widely adopted because of its open source status, but SAS is supported throughout many industries. But in many cases, programmers and statisticians are using one or more languages.
You can learn about SAS through websites such as All Analytics. R Programming is covered at R-Blog. In the meantime, click on the infographic below to view how SAS, SPSS, and R differ...and compare favorably against each other.
Source: blog.datacamp.com
