Description
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)?
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Running Head: PROGRAMING LANGUAGES AND DATA SCIENCE
Programming Languages and Data Science
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PROGRAMING LANGUAGES AND DATA SCIENCE
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Programming Languages and Data Science
Data science seeks to preprocess, analyze, interpret data, and make possible deductions
and predictions. This process embraces the use of formulae and methods that can take tim...
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