Explanation:The pipeline operater %>% is very handy for stringing together multiple dplyr functions in a sequence of operations. 8. ________ add new variables/columns or transform existing variables
A. mutate
B. add
C. apped
D. arrange
Answer:A
Explanation:The pipeline operater %>% is very handy for stringing together multiple dplyr functions in a sequence of operations. 8. ________ add new variables/columns or transform existing variables
A. mutate B. add C. apped D. arrange
Explanation:arrange is used to reorder rows of a data frame. 9. _________ extract a subset of rows from a data frame based on logical conditions.