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Mainstream statistical programming languages

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Reference no: EM132565985

Assignment 1. 

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 - developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. Therefore, R can be considered as a different implementation of S. However, there are some important differences, e.g., code written for S runs unaltered under R.

1. Why are statistical programming languages important to data scientists?

2. What are some the advantages and disadvantages that R programming language has over the other mainstream statistical programming languages (i.e. Python, SAS, SQL)?

Assignment 2.

1. Why are statistical programming languages important to data scientists?

2. What are some advantages and disadvantages the R programming language has over the other main statistical programming languages (i.e. Python, SAS, SQL)?

Reference no: EM132565985

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