3 ms·
Another big one for me is speed. Almost all the popular wrangling libraries in R (tidyverse, data.table) use c++ under the hood and are lightning fast. Whereas
by nomilk 5y ago
Another big one for me is speed. Almost all the popular wrangling libraries in R (tidyverse, data.table) use c++ under the hood and are lightning fast. Whereas excel can chug away for five minutes operating across a few tens or hundreds of thousands of rows; R can often do the same operations on a few millions or tens of millions of rows in a few seconds.