Course
Working with Dates and Times in R
IntermediateSkill Level
Updated 09/2024RProgramming4 hr14 videos48 Exercises4,000 XP37,162Statement of Accomplishment
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Prerequisites
Intermediate R1
Dates and Times in R
R doesn't know something is a date or time unless you tell it. In this chapter you'll learn about some of the ways R stores dates and times by exploring how often R versions are released, and how quickly people download them. You'll also get a sneak peek at what you'll learn in the following chapters.
2
Parsing and Manipulating Dates and Times with lubridate
Dates and times come in a huge assortment of formats, so your first hurdle is often to parse the format you have into an R datetime. This chapter teaches you to import dates and times with the lubridate package. You'll also learn how to extract parts of a datetime. You'll practice by exploring the weather in R's birthplace, Auckland NZ.
3
Arithmetic with Dates and Times
Getting datetimes into R is just the first step. Now that you know how to parse datetimes, you need to learn how to do calculations with them. In this chapter, you'll learn the different ways of representing spans of time with lubridate and how to leverage them to do arithmetic on datetimes. By the end of the chapter, you'll have calculated how long it's been since the first man stepped on the moon, generated sequences of dates to help schedule reminders, calculated when an eclipse occurs, and explored the reigns of monarch's of England (and which ones might have seen Halley's comet!).
4
Problems in practice
You now know most of what you need to tackle data that includes dates and times, but there are a few other problems you might encounter in practice. In this final chapter you'll learn a little more about these problems by returning to some of the earlier data examples and learning how to handle time zones, deal with times when you don't care about dates, parse dates quickly, and output dates and times.
Working with Dates and Times in R
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FAQs
Do I need prior experience with the lubridate package before taking this course?
No prior lubridate experience is needed. The course teaches you the package from the ground up, though you should have completed Intermediate R and Introduction to R first.
What real-world datasets are used to practice date and time operations?
You will work with R version release dates, Auckland weather data, and historical data on British monarchs to practice parsing, manipulating, and computing with dates and times.
Will this course cover time zone handling in R?
Yes. The final chapter addresses practical problems including time zone management, parsing dates efficiently, working with times independent of dates, and formatting date output.
How long does this course typically take to complete?
The course has 4 chapters and 48 exercises. Most learners complete it in about 3 hours, though the estimated time is 240 minutes.
What kinds of tasks will I be able to perform after finishing this course?
You will be able to parse dates from various formats, extract date components, perform arithmetic with time spans, and handle time zones using lubridate in R.
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