Chapter 8
From the City That Never Sleeps
IN THIS CHAPTER
Working with the flights data frame
Using tidyverse functions
Joining data frames
Exploring flight delays
An airline flight generates a lot of data. The data includes identification of the plane (airline, tail number), identification of the flight (flight number, date, time, origin, destination), characteristics of the flight (distance, time in the air, departure delay, arrival delay), and more. For a budding data analyst, a data set of airline flights presents a treasure trove of opportunities. And that’s what I show you how to work with in this chapter.
Examining the Data Set
The data set is called flights, and it lives in a package called nycflights13. It has the data on all domestic flights out of New York City in 2013. On the Packages tab, click Install to open the Install Packages dialog box. In the dialog box, type nycflights13 and click the Install button. After the package downloads, select its check box on the Packages tab. Additional data sets are in this package, and I show you how to work with them, too. ...
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