dplyr 1.1.0 is coming soon! This post introduces some of the exciting new features coming in 1.1.0, and includes a call-for-feedback as we finalize the release.
@ChristosArgyrop data.table is several orders of magnitude slower than dplyr when the benchmarks include how much longer it takes me to read and write the relevant code 🙂
@benzipperer@ChristosArgyrop I find data.table much quicker to write and read than the overly verbose dplyr so dependent on experience with the package I suppose... I do think group_by() was a design mistake the tidyverse people have been far too stubborn about though, good to see that changing 🫣