Tired of using `table` and `summary`?  Or repeatedly using a `group_by %>% summarise` approach?  Many are still using R inefficiently to summarize data, especially for presentation. However, data needs to be explored before modeling can take place, both to familiarize oneself with the strengths and limitations of the data, as well as to diagnose errors or spot potential problems that might arise.  So how can we do this sort of thing better?

This workshop will demonstrate the capabilities of several packages that might be of interest to those seeking a more automatic way to summarize their data before analysis, or simply to share with others.

Prerequisites: R Series I: Data Wrangling