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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.
Why are statistical programming languages important to data scientists?
What are some
advantages and disadvantages the R programming language has
over the other main statistical programming languages (i.e.
And compare the R programming language to the other statistical programming with 2 sentences ?
References: At least two peer-reviewed, scholarly journal references.

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