skimr for useful and tidy summary statistics
Amelia A. McNamara, Eduardo Ariño de la Rubia, Elin Waring, Hao Zhu, Hope McLeod, Julia Stewart Lowndes, Michael Quinn, Shannon Ellis · 2017
Like every R user who uses summary statistics (so, everyone), our team has to rely on some combination of summary functions beyond summary() and str(). But we found them all lacking in some way because they can be generic, they don't always provide easy-to-operate-on data structures, and they are not pipeable. What we wanted was a frictionless approach for quickly skimming useful and tidy summary statistics as part of a pipeline.