Explanation:The pipeline operator %>% is very handy for stringing together multiple dplyr functions in a sequence of operations. 8. There is an SQL interface for relational databases via the _______ package.
A. DIB
B. DB2
C. DBI
D. All of the mentioned
Answer:A
Explanation:The pipeline operator %>% is very handy for stringing together multiple dplyr functions in a sequence of operations. 8. There is an SQL interface for relational databases via the _______ package.
A. DIB B. DB2 C. DBI D. All of the mentioned
Explanation:dplyr can work with other data frame “backends” such as SQL databases. 9. dplyr can be integrated with the ________ package for large fast tables.