We've used some of R's built-in datasets so far in this book, but most of the time, data scientists will have to import and export data that comes from external sources in and out of R. Data can come and go in many different forms, and while we'll not cover them all here, we'll touch on some of the most common forms.
Data import and export are truly one subsection in R, because most of the time, the functions are opposites: for example, read.csv() takes in the character string name of a .csv file, and you save the output as a dataset in your environment, while write.csv() takes in the name of the dataset in your environment and the character string name of a file to write to.
There are built-in functions in R for the ...
