Summary

In this chapter, we listed some of the various packages that are available for converting various kinds of data into R. There are a lot of different options, and even the options we have listed have a wide functionality, which we are going to cover and use as we go further into the book. We learned how to read all kinds of delimited datasets into R packages using the readr package and also advanced options for reading in Excel data. We then learned how to use the jsonlite package to read JSON in R data structures and learned how to use the httr package to read data into R from web APIs.

At the end of the chapter, we learned how to get data into R by scraping the web using the rvest package, and we also learned how to connect to relational databases from R using the DBI package.

In the next chapter, we will explore how to identify and clean missing and erroneous data. This will cover concepts such as data manipulation, wrangling, and reshaping. The chapter also includes various filtering methods and package implementations with diagrams.