Podcast
Questions and Answers
When using %>%, each function must return a result that can be passed to the next function in the chain.
When using %>%, each function must return a result that can be passed to the next function in the chain.
True (A)
In dplyr, the summarize() function cannot use %>% for grouped summaries.
In dplyr, the summarize() function cannot use %>% for grouped summaries.
False (B)
The count() function in dplyr is often combined with %>% to count rows within groups.
The count() function in dplyr is often combined with %>% to count rows within groups.
True (A)
The pipe operator %>% allows for nesting functions without deeply embedding code.
The pipe operator %>% allows for nesting functions without deeply embedding code.
dplyr functions like mutate can be used with conditional statements to create new variables.
dplyr functions like mutate can be used with conditional statements to create new variables.
The summarize(across()) function in dplyr is used to apply functions across multiple columns.
The summarize(across()) function in dplyr is used to apply functions across multiple columns.
dplyr's left_join() function merges two data frames by keeping all rows from the left data frame.
dplyr's left_join() function merges two data frames by keeping all rows from the left data frame.
The inner_join() function in dplyr merges data frames and keeps only rows with matching keys.
The inner_join() function in dplyr merges data frames and keeps only rows with matching keys.
The anti_join() function retains all rows from the left data frame that have no match in the right data frame.
The anti_join() function retains all rows from the left data frame that have no match in the right data frame.
