Acadia University Statistical Programming Languages Discussion
Question Description
R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.
1. Why are statistical programming languages important to data scientists? Please provide a specific use case for a data scientist to apply a statistical language to a data set. What are some advantages and disadvantages the R programming language has over the other main statistical programming languages (i.e. Python, SAS, SQL)?
2. comparing the R programming language to the other statistical programming languages
2.1 why you agreed with their evaluation of the different statistical programming languages.?
2.2 why you disagreed with their evaluation of the different statistical programming languages.?
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