Computer Science homework help

Assignment 1

Scenario:

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.

Question:

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)?

Submission Requirements

Font: Times New Roman, size 12, double-space

Citation Style: APA

Length: 500 Words

References: At-least 2 references