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.
A. data.table
B. read.table
C. data.data
D. None of the mentioned
Answer:A
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.
A. data.table B. read.table C. data.data D. None of the mentioned
Explanation:The dplyr package is handy way to both simplify and speed up your data frame management code. 10.Which of the following function is similar to summarize ?