Make-like pipelines enhance the integrity, transparency, shelf life, efficiency, and scale of large analysis projects. With pipelines, data science feels smoother and more rewarding, and the results are worthy of more trust.
This is a companion discussion topic for the original entry at https://ropensci.org/blog/2021/02/03/targets/