Podcast
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
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
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
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.
Signup and view all the answers
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.
Signup and view all the answers
Using desc() within arrange() in dplyr sorts a column in ascending order.
Using desc() within arrange() in dplyr sorts a column in ascending order.
Signup and view all the answers
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.
Signup and view all the answers
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.
Signup and view all the answers
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.
Signup and view all the answers
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.
Signup and view all the answers
