R Programming Questions and Answers – Data Wrangling – 1

This set of R Programming Language Multiple Choice Questions & Answers (MCQs) focuses on “Data Wrangling – 1”.

1. _________ is new package that makes it easy to “tidy” your data.
a) tidy
b) tidyr
c) tidyneat
d) tidynr
View Answer

2. Point out the correct statement?
a) Each row is an observation in tidy data
b) Each column is a variable in tidy data
c) Arranging your data in tidy way makes it easier to work
d) All of the mentioned
View Answer

3. Which of the following is complementary to tidyr?
a) geolr
b) dplyr
c) d3lr
d) gekl2
View Answer

4. How many functions exist for tidying the data?
a) one
b) two
c) three
d) four
View Answer

5. 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
View Answer

6. Which of the following function takes multiple columns?
a) spread()
b) gather()
c) separate()
d) extract()
View Answer

7. __________ uses regex groups instead of a splitting pattern or position.
a) spread()
b) gather()
c) separate()
d) extract()
View Answer

8. Which of the following function works similar to separate()?
a) extract()
b) gather()
c) sep()
d) separate()
View Answer

9. Which of the following d takes two columns and spreads them into multiple columns?
a) ggmissplot
b) printplot
c) print.ggplot
d) ggplot
View Answer

Sanfoundry Global Education & Learning Series – R Programming Language.

Here’s the list of Best Books in R Programming Language.