I know that I can read in a very large
csv file much faster with
fread using the
data.table library than with
read.csv that reads a file in as a
dplyr can only perform operations on
My questions are:
- Why was
dplyrbuilt to work with the slower of the two data structures?
- When working with big data is it good practice to read in as
data.tablethen convert to
- Is there another strategy I am missing?