Analyzing and Visualing Data_ Assignment

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Question Description

Task-1



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)?




Task-2



Download and Install the R Programming tool (Cran), Python, and MySQL for Excel software onto your PC. Verify successful installation by attaching ONLY the screenshots to display your completion of each software installation (3 total screenshots). Save your assignment as a Microsoft Word document. (Mac users, please remember to append the ".docx" extension to the filename.)



Summarize in a short paragraph how the installation went for you.

Tutor Answer

Faithe
School: Purdue University

Here are the task :). Let me know if you need more help in the future :)

1

TASK 1:
Statistical programming languages are mainly used for statistical computations, data analysis and
graphical representation of data. These languages are designed for data cleaning and analysis of
data. Back then, R was not a very popular tool but now, it has gained tremendous applications
and traction (Ohri, 2018).
Data analysis by using statistical concept/methodology is usually achieved by writing a code.
There are many software which available to perform a desired statistical...

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Anonymous
awesome work thanks

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