Introducing dataverifyr: A Lightweight, Flexible, and Fast Data Validation Package that Can Handle All Sizes of Data

In every data project, there should be a check that the data actually looks like what you expect it to look like.

This can be as simple as stopifnot(all(data$values __ 0)), but as with everything “simple”, you typically want to have some additional features, such as cleaner error messages, ...