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tbjgunzz

Computer Science

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 anddisadvantages the R programming language has over the other main statistical programming languages (i.e. Python, SAS, SQL)?

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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 why you agreed or disagreed with their evaluation of the different statistical programming languages.

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Explanation & Answer

Attached.

Running Head: DATA SCIENCE

1

Data Science
Name
Institutional Affiliation
Date

DATA SCIENCE

2

Data Science
Data science is a science field that deals with data. Data scientists, on the other hand, are people that
have studied data science. The use of the various scientific methods that exist, algorithms, systems and
processes to analyze data that is thrown their way. From the analysis, important information is mined.
Data sounds simple but ...


Anonymous
Really useful study material!

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