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Programming languages important to data scientists

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Reference no: EM132365046

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. Python, SAS, SQL)?

Please include at least two citations (APA) from academic resources (i.e. the textbook, UofCumberlands Library resources, etc.). Please post any APA or Discussion Guideline Questions.

Reference no: EM132365046

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