analyze and visualizing dta

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 need unique doc.

APA style with references 400 words.

 

Submit Your Assignment and get professional help from our qualified experts!


analyze and visualizing dta was first posted on July 6, 2020 at 12:49 am.
©2019 "Submit Your Assignment". Use of this feed is for personal non-commercial use only. If you are not reading this article in your feed reader, then the site is guilty of copyright infringement. Please contact me at support@economicswriters.com

 

"Are you looking for this answer? We can Help click Order Now"