Q.1
__________ is used when you have variables that form rows instead of columns.
  • a) tidy()
  • b) spread()
  • c) separate()
  • d) gather()
Q.2
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
Q.3
Which of the following merges two variables into one?
  • a) spread()
  • b) gather()
  • c) separate()
  • d) unite()
Q.4
How many functions exist for wrangling the data with dplyr package?
  • a) one
  • b) seven
  • c) three
  • d) five
Q.5
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
Q.6
________ add new variables/columns or transform existing variables.
  • a) mutate
  • b) add
  • c) apped
  • d) arrange
Q.7
_________ extract a subset of rows from a data frame based on logical conditions.
  • a) rename
  • b) filter
  • c) set
  • d) subset
Q.8
Spread function is known as ___________ in spreadsheets.
  • a) pivot
  • b) unpivot
  • c) cast
  • d) order
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