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Questions and Answers
The select() function in dplyr is used to filter rows based on conditions.
The select() function in dplyr is used to filter rows based on conditions.
False (B)
Using select(-column_name) in dplyr removes specified columns from a data frame.
Using select(-column_name) in dplyr removes specified columns from a data frame.
True (A)
The filter() function can handle complex conditions to extract rows that meet specific criteria.
The filter() function can handle complex conditions to extract rows that meet specific criteria.
True (A)
The mutate() function can only modify existing variables but cannot create new ones.
The mutate() function can only modify existing variables but cannot create new ones.
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The arrange() function is used to sort data frames by one or more columns.
The arrange() function is used to sort data frames by one or more columns.
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Using desc() within arrange() in dplyr sorts a column in ascending order.
Using desc() within arrange() in dplyr sorts a column in ascending order.
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The group_by() function in dplyr is used to group data for summary calculations.
The group_by() function in dplyr is used to group data for summary calculations.
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The summarize() function requires the use of group_by() to calculate summary statistics.
The summarize() function requires the use of group_by() to calculate summary statistics.
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The rename() function in dplyr allows renaming of columns, with new names on the left and old names on the right.
The rename() function in dplyr allows renaming of columns, with new names on the left and old names on the right.
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The %>% operator, known as the pipe, is used to chain multiple operations in dplyr.
The %>% operator, known as the pipe, is used to chain multiple operations in dplyr.
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