. . . . . . . . is new package that makes it easy to "tidy" your data.
A. tidy
B. tidyr
C. tidyneat
D. tidynr
Answer: Option C
This Question Belongs to R Programming >> Data Manipulation With Dplyr
Related Questions on Data Manipulation with dplyr
In dplyr, what function is used to select specific columns from a data frame?
A. select_cols()
B. choose_cols()
C. select()
D. pick()
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()
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
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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