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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

Working with Date and Time Objects

Computers are complex machines that can, among many other things, record date and time. The world is so attached to the measurement of time that it drives a great part of our daily lives. We work within a time interval, we are supposed to go to school for a determinate minimum number of years, and even the value of our work is calculated based on time. Likewise, the business world is also run by the wheel of time. This is evident because of the popular saying: time is money.

Dates and times are just like other types of data, holding valuable information and good business insights if you know how to handle them. During a data exploration that involves a datetime variable, questions such as What is the busiest month, day, and hour? Which days of the week have more traffic? or How much was the revenue in the past 3 months? will arise, and we must know how to deal with those objects to facilitate better analysis.

There are three main ways to work...

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