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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 Alcatel-Lucent) 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.
Answer the following questions in 400 words
Why are statistical programming languages important to data scientists? What are some advantages and disadvantages that R programming language has over the other main statistical programming languages (i.e. Python, SAS, SQL)?
Answer in proper APA format including Times New Roman with font size 12 and double spaced with proper references and in text citations.
At least two scholarly sources should be used. Use proper citations and one APA style reference list . APA reference list should be placed immediately at the end; this reference list includes all citations made.