The [Exploring Data Frames episode](https://datacarpentry.org/r-intro-geospatial/04-data-structures-part2/index.html) has an objective and keypoints that aren't' covered. Specifically the objective objectives... > - Remove rows with NA values. and the keypoints... > - Remove rows from a data frame. > - Use na.omit() to remove rows from a data frame with NA values. Also this one doesn't use `typeof()` - shoudl be `class()` instead > - Use str(), nrow(), ncol(), dim(), colnames(), rownames(), head(), and typeof() to understand the structure of a data frame.