Data Manipulation with dplyr MCQ question and answer with solution

1

In dplyr, what function is used to select specific columns from a data frame?

A) select_cols() B) choose_cols() C) select() D) pick()

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Answer & Solution

Answer: Option C

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2

How do you filter rows in a dplyr data frame based on a specific condition using filter()?

A) filter_rows() B) row_filter() C) filter_conditions() D) filter()

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Answer: Option D

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3

In dplyr, what does the arrange() function do?

A) Sorts the data frame in ascending order B) Arranges the columns in a specified order C) Orders the rows based on a specific column D) Sorts the data frame in descending order

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Answer: Option C

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4

What function is used to create a new variable in a dplyr data frame based on existing variables?

A) create_var() B) mutate() C) new_variable() D) add_column()

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Answer: Option B

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5

How do you perform a group-wise summary operation using dplyr's group_by() and summarize() functions?

A) group_by_summary() B) group_summary() C) summarize_group() D) summarize()

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Answer: Option D

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6

What is the purpose of the distinct() function in dplyr?

A) Filters unique rows based on specified columns B) Removes duplicate rows from a data frame C) Counts the distinct values in a column D) Selects distinct elements from a vector

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Answer & Solution

Answer: Option B

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7

In dplyr, what does the mutate() function do?

A) Filters rows based on a condition B) Creates a new variable based on existing ones C) Mutates the data frame structure D) Applies a function to each element of a vector

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Answer: Option B

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8

How do you join two data frames based on a common column using dplyr's left_join()?

A) merge_left() B) left_merge() C) left_join() D) combine_left()

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Answer & Solution

Answer: Option C

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9

In dplyr, what is the purpose of the %>% operator (pipe operator)?

A) Performs bitwise OR operation B) Chains together a sequence of operations C) Separates elements in a character vector D) Concatenates strings

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Answer & Solution

Answer: Option B

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10

What is the role of the summarize() function in dplyr?

A) Applies a summary function to each group B) Filters rows based on a condition C) Selects specific columns from a data frame D) Sorts the data frame in ascending order

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Answer: Option A

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Data Manipulation with dplyr MCQ question and answer with solution | R Programming MCQs