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Data Wrangling with R

You're reading from   Data Wrangling with R Load, explore, transform and visualize data for modeling with tidyverse libraries

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781803235400
Length 384 pages
Edition 1st Edition
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Author (1):
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Gustavo Santos Gustavo Santos
Author Profile Icon Gustavo Santos
Gustavo Santos
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Load and Explore Data
2. Chapter 1: Fundamentals of Data Wrangling FREE CHAPTER 3. Chapter 2: Loading and Exploring Datasets 4. Chapter 3: Basic Data Visualization 5. Part 2: Data Wrangling
6. Chapter 4: Working with Strings 7. Chapter 5: Working with Numbers 8. Chapter 6: Working with Date and Time Objects 9. Chapter 7: Transformations with Base R 10. Chapter 8: Transformations with Tidyverse Libraries 11. Chapter 9: Exploratory Data Analysis 12. Part 3: Data Visualization
13. Chapter 10: Introduction to ggplot2 14. Chapter 11: Enhanced Visualizations with ggplot2 15. Chapter 12: Other Data Visualization Options 16. Part 4: Modeling
17. Chapter 13: Building a Model with R 18. Chapter 14: Build an Application with Shiny in R 19. Conclusion 20. Other Books You May Enjoy

Introduction to date and time

In R, there are three objects related to date and time: date, time, and datetime. The definition is as logical as it looks:

  • date: Object refers to a date YYYY-MM-DD
  • time: Object stores time data, as HH: MM: SS
  • datetime: A combination of both YYYY-MM-DD HH: MM: SS

From now on, I will mostly refer to datetime objects, as these are a combination of both other types and are the most common as well.

It is important to note that computers calculate time based on January 1, 1970, at 00:00:00 UTC. As a side note, UTC means Universal Time Coordinated, formerly known as Greenwich Mean Time (GMT), which is the point that regulates the world time zones. Every calculation of time zone is done from that point, adding or subtracting hours.

In the late 1960s and early 1970s, Unix engineers had to pick a date to use as ground zero when the clock started to count for computers. For the sake of calculation easiness, January 1 was convenient...

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