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Welcome to the Data Analysis and Research MCQs Page

Dive deep into the fascinating world of Data Analysis and Research with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Data Analysis and Research, a crucial aspect of Data Science. In this section, you will encounter a diverse range of MCQs that cover various aspects of Data Analysis and Research, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Science.

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Check out the MCQs below to embark on an enriching journey through Data Analysis and Research. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Science.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Data Analysis and Research. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Data Analysis and Research MCQs | Page 8 of 9

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Q71.
What is the role of processing code in the research pipeline?

a.

Transforms the analytical results into figures and tables

b.

Transforms the analytic data into measured data

c.

Transforms the measured data into analytic data

d.

All of the mentioned

Discuss
Answer: (c).Transforms the measured data into analytic data
Q72.
Which of the following is a goal of literate statistical programming?

a.

Combine explanatory text and data analysis code in a single document

b.

Ensure that data analysis documents are always exported in JPEG format

c.

Require those data analysis summaries are always written in R

d.

None of the mentioned

Discuss
Answer: (a).Combine explanatory text and data analysis code in a single document
Q73.
What does it mean to weave a literate statistical program?

a.

Convert a program from S to python

b.

Convert the program into a human readable document

c.

Convert a program to decompress it

d.

All of the mentioned

Discuss
Answer: (b).Convert the program into a human readable document
Q74.
Which of the following is required to implement a literate programming system?

a.

A programming language like Perl

b.

A programming language like Java

c.

A programming language like R

d.

All of the mentioned

Discuss
Answer: (c).A programming language like R
Q75.
What is one way in which the knitr system differs from Sweave?

a.

knitr allows for the use of markdown instead of LaTeX

b.

knitr is written in python instead of R

c.

knitr lacks features like caching of code chunks

d.

none of the mentioned

Discuss
Answer: (a).knitr allows for the use of markdown instead of LaTeX
Q76.
Which of the following is useful way to put text, code, data, output all in one document?

a.

Literate statistical programming

b.

Object oriented programming

c.

Descriptive programming

d.

All of the mentioned

Discuss
Answer: (a).Literate statistical programming
Q77.
Some chunks have to be re-computed every time you re-knit the file.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (b).False
Q78.
Which of the following tool can be used for integrating text and code in one document?

a.

knitr

b.

ggplot2

c.

NumPy

d.

None of the mentioned

Discuss
Answer: (a).knitr
Q79.
Which of the following should be set on chunk by chunk basis to store results of computation?

a.

cache=TRUE

b.

cache=FALSE

c.

caching=TRUE

d.

none of the mentioned

Discuss
Answer: (a).cache=TRUE
Q80.
Dependencies are checked explicitly in caching caveats.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (b).False
Page 8 of 9

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