What can you extract?

As you saw in the video, components of a datetime can be extracted by lubridate functions with the same name like year(), month(), day(), hour(), minute() and second(). They all work the same way just pass in a datetime or vector of datetimes.

There are also a few useful functions that return other aspects of a datetime like if it occurs in the morning am(), during daylight savings dst(), in a leap_year(), or which quarter() or semester() it occurs in.

Try them out by exploring the release times of R versions using the data from Chapter 1.

We've put release_time, the datetime column of the releases dataset from Chapter 1, in your workspace.

Examine the head() of release_time to verify this is a vector of datetimes.
Extract the month from release_time and examine the first few with head().
To see which months have most releases, extract the month then pipe to table().
Repeat, to see which years have the most releases.
Do releases happen in the morning (UTC)? Find out if the hour of a release is less than 12 and summarise with mean().
Alternatively use am() to find out how often releases happen in the morning.

Exercise

What can you extract?

Instructions