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Working with Dates and Times in R

Learn the essentials of parsing, manipulating and computing with dates and times in R.

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Descrição do Curso

Dates and times are abundant in data and essential for answering questions that start with when, how long, or how often. However, they can be tricky, as they come in a variety of formats and can behave in unintuitive ways. This course teaches you the essentials of parsing, manipulating, and computing with dates and times in R. By the end, you'll have mastered the lubridate package, a member of the tidyverse, specifically designed to handle dates and times. You'll also have applied your new skills to explore how often R versions are released, when the weather is good in Auckland (the birthplace of R), and how long monarchs ruled in Britain.
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  1. 1

    Dates and Times in R

    Grátis

    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.

    Reproduzir Capítulo Agora
    Introduction to dates
    50 xp
    Recognizing ISO 8601 dates
    50 xp
    Specifying dates
    100 xp
    Automatic import
    100 xp
    Why use dates?
    50 xp
    Plotting
    100 xp
    Arithmetic and logical operators
    100 xp
    What about times?
    50 xp
    Getting datetimes into R
    100 xp
    Datetimes behave nicely too
    100 xp
    Why lubridate?
    50 xp
  2. 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.

    Reproduzir Capítulo Agora
  3. 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!).

    Reproduzir Capítulo Agora
  4. 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.

    Reproduzir Capítulo Agora
Para Empresas

GroupTreinar 2 ou mais pessoas?

Obtenha acesso à biblioteca completa do DataCamp, com relatórios, atribuições, projetos e muito mais centralizados

Nas seguintes faixas

Certificação disponível

Cientista de dados associado em R

Ir para a trilha

Desenvolvedor R

Ir para a trilha

Conjuntos De Dados

Auckland daily weatherAuckland hourly weatherR releasesCran logs

Colaboradores

Collaborator's avatar
Yashas Roy
Collaborator's avatar
Richie Cotton

Pre Requisitos

Intermediate R
Charlotte Wickham HeadshotCharlotte Wickham

Assistant Professor at Oregon State University

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