R Language

Assignment 1 Due(Wednesday afternoon):- 

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.

In this week's posts, answer the following:

• Why are statistical programming languages important to data scientists? 
• What are some the advantages and disadvantages that R programming language has over the other mainstream statistical programming languages (i.e. Python, SAS, SQL)?

Reply Post  (Due(Sunday afternoon)

When replying to a classmate, offer your opinion on what they posted comparing the R programming language to the other statistical programming languages. 

Using at least 3 - 5 sentences, explain the strengths and/or weaknesses of your peer's evaluation of the different statistical programming languages.

Assignment 2 Due(Sunday Afternoon):- 

1. Expand on your discussion post with a 3 page APA formatted research paper on the following topic:

• 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)?