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

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

Answer & Solution

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

Answer & Solution

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

Answer & Solution

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

Answer & Solution

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

Answer & Solution

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

Answer & Solution

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

Answer & Solution

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

Answer & Solution

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

Answer & Solution

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

Answer & Solution

Read More Section(Data Manipulation with dplyr)

1.
In dplyr, what function is used to select specific columns from a data frame?

2.
How do you filter rows in a dplyr data frame based on a specific condition using filter()?

3.
In dplyr, what does the arrange() function do?

4.
What function is used to create a new variable in a dplyr data frame based on existing variables?

5.
How do you perform a group-wise summary operation using dplyr's group_by() and summarize() functions?

6.
What is the purpose of the distinct() function in dplyr?

7.
In dplyr, what does the mutate() function do?

8.
How do you join two data frames based on a common column using dplyr's left_join()?

9.
In dplyr, what is the purpose of the %>% operator (pipe operator)?

10.
What is the role of the summarize() function in dplyr?