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Welcome to the Profiling,Simulation and Data Analysis MCQs Page

Dive deep into the fascinating world of Profiling,Simulation and Data Analysis with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Profiling,Simulation and Data Analysis, a crucial aspect of R Programming. In this section, you will encounter a diverse range of MCQs that cover various aspects of Profiling,Simulation and Data Analysis, 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 R Programming.

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

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

Profiling,Simulation and Data Analysis MCQs | Page 9 of 11

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Q81.
Point out the correct statement?

a.

gather() makes “long” data wider

b.

tidyr is a reframing of reshape designed to accompany the tidy data framework

c.

there are two fundamental verbs of data tidying

d.

tidyr and dplyr packages do not make use of the pipe operator

Discuss
Answer: (c).there are two fundamental verbs of data tidying
Q82.
_________ extract a subset of rows from a data frame based on logical conditions.

a.

rename

b.

filter

c.

set

d.

subset

Discuss
Answer: (a).rename
Q83.
Spread function is known as ___________ in spreadsheets.

a.

pivot

b.

unpivot

c.

cast

d.

order

Discuss
Answer: (b).unpivot
Q84.
Which of the following is a principle of analytic graphics?

a.

Don’t plot more than two variables at at time

b.

Make judicious use of color in your scatterplots

c.

Show box plots (univariate summaries)

d.

Show causality, mechanism, explanation

Discuss
Answer: (d).Show causality, mechanism, explanation
Q85.
What is the role of exploratory graphs in data analysis?

a.

They are made for formal presentations

b.

They are typically made very quickly

c.

Axes, legends, and other details are clean and exactly detailed

d.

They are used in place of formal modeling

Discuss
Answer: (b).They are typically made very quickly
Q86.
Which of the following is true about the base plotting system?

a.

Margins and spacings are adjusted automatically depending on the type of plot and the data

b.

Plots are typically created with a single function call

c.

Plots are created and annotated with separate functions

d.

The system is most useful for conditioning plots

Discuss
Answer: (c).Plots are created and annotated with separate functions
Q87.
Which of the following is an example of a valid graphics device in R?

a.

A socket connection

b.

A Microsoft Word document

c.

A PDF file

d.

A file folder

Discuss
Answer: (c).A PDF file
Q88.
Which of the following is an example of a vector graphics device in R?

a.

JPEG

b.

PNG

c.

GIF

d.

SVG

Discuss
Answer: (d).SVG
Q89.
Bitmapped file formats can be most useful for ____________

a.

Plots that may need to be resized

b.

Plots that require animation or interactivity

c.

Plots that are not scaled to a specific resolution

d.

Scatterplots with many many points

Discuss
Answer: (d).Scatterplots with many many points
Q90.
Which of the following functions is typically used to add elements to a plot in the base graphics system?

a.

lines()

b.

hist()

c.

plot()

d.

boxplot()

Discuss
Answer: (d).boxplot()
Page 9 of 11

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