1a) Introduction: 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 Alcatel-Lucent) 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

Q) 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)?

Essay should be min of 250 words with in-text citations and proper reference list.

1b) Introduction: According to Kirk (2016), The essence of “Formulating Your Brief” is to “identify the context in which your work will be undertaken and then define its aims: it is the who, what, where, when and how.” It could be formal or informal as any project you think you must make it. This phase is where you create a vision or plan for your work (p.63).

Reference

Kirk, A. (2016). Data Visualisation: A Handbook for Data Driven Design. Thousand Oaks, CA: Sage Publications, Ltd.

Q) Why is it so important to formulate your brief for a data presentation? Discuss some ways/things you would do to formulate an effective brief. What are some advantages to your methods? What are some disadvantages?

Essay should be min of 250 words with in-text citations and proper reference list.

 

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