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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 8 of 11

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Q71.
How many functions exist for tidying the data?

a.

one

b.

two

c.

three

d.

four

Discuss
Answer: (c).three
Q72.
Point out the correct statement?

a.

gather() makes “wide” data longer

b.

Two functions are present for tidy data

c.

separate() makes “wide” data longer

d.

spread() function takes multiple columns

Discuss
Answer: (c).separate() makes “wide” data longer
Q73.
Which of the following function takes multiple columns?

a.

spread()

b.

gather()

c.

separate()

d.

extract()

Discuss
Answer: (b).gather()
Q74.
__________ uses regex groups instead of a splitting pattern or position.

a.

spread()

b.

gather()

c.

separate()

d.

extract()

Discuss
Answer: (c).separate()
Q75.
Which of the following function works similar to separate()?

a.

extract()

b.

gather()

c.

sep()

d.

separate()

Discuss
Answer: (a).extract()
Q76.
Which of the following takes two columns and spreads them into multiple columns?

a.

ggmissplot

b.

printplot

c.

print.ggplot

d.

ggplot

Discuss
Answer: (c).print.ggplot
Q77.
__________ is used when you have variables that form rows instead of columns.

a.

tidy()

b.

spread()

c.

separate()

d.

gather()

Discuss
Answer: (b).spread()
Q78.
Point out the correct statement?

a.

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

b.

tidyr does less than reshape2

c.

tidyr provides ability to string multiple functions together by incorporating %

d.

tidyr does greater than reshape2

Discuss
Answer: (b).tidyr does less than reshape2
Q79.
Which of the following merges two variables into one?

a.

spread()

b.

gather()

c.

separate()

d.

unite()

Discuss
Answer: (b).gather()
Q80.
How many functions exist for wrangling the data with dplyr package?

a.

one

b.

seven

c.

three

d.

five

Discuss
Answer: (b).seven
Page 8 of 11

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