It's time to recap what we learned about readr.

We learned how to read data from a CSV format to R using read_csv(). We also learned how to handle some errors by skipping lines (using the skip argument) and to handle missing column names (using the col_names argument):

read_csv("data/winters_students.csv", skip = 5, col_names = FALSE)

We can check the column data types of the dataset with the spec() function:

spec(students)

We can investigate problems encountered when reading the file with the problems() function:

problems(students)

We can read general files into R using any kind of delimiting character, thanks to the read_delim() function:

read_delim("data/zoo.csv", delim = "|")

And we can save data in different formats using the write_delim() function:

write_delim(animals, path = "animals.csv", delim = ";")

Let's practice all the know-how we just acquired. Our final report comes from the Hillside Clinic. Let's see what's in it.