A Verbose Pipe Operator for dplyr Pipelines

Guillaume Pressiat shows off logrittr:

In SAS, every DATA step prints a log:

NOTE: There were 120000 observations read from WORK.SALES.
NOTE: 7153 observations were deleted.
NOTE: The data set WORK.RESULT has 112847 observations and 11 variables.

R’s dplyr pipelines are silent. logrittr fills that gap with %>=%, a drop-in pipe that logs row counts, column counts, added/dropped columns, and timing at every step, with no function masking.

Click through to see how logrittr helps. Back when I was using R heavily, I would have really enjoyed this package. H/T R-Bloggers.