R 4 Data Science Quick Reference
eBook - ePub

R 4 Data Science Quick Reference

A Pocket Guide to APIs, Libraries, and Packages

  1. English
  2. ePUB (mobile friendly)
  3. Only available on web
eBook - ePub

R 4 Data Science Quick Reference

A Pocket Guide to APIs, Libraries, and Packages

Book details
Table of contents
Citations

About This Book

In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more.
With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights to write data science-based applications in the R programming language. You'll also be able to carry out data analysis. All source code used in the book is freely available on GitHub..
What You'll Learn

  • Implement applicable R 4 programming language specification features
  • Import data with readr
  • Work with categories using forcats, time and dates with lubridate, and strings with stringr
  • Format data using tidyr and then transform that data using magrittr and dplyr
  • Write functions with R for data science, data mining, and analytics-based applications
  • Visualize data with ggplot2 and fit data to models using modelr

Who This Book Is For
Programmers new to R's data science, data mining, and analytics packages. Some prior coding experience with R in general is recommended.

Frequently asked questions

Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes, you can access R 4 Data Science Quick Reference by Thomas Mailund in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming Languages. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Apress
Year
2022
ISBN
9781484287804
Edition
2
Topic
Computer Science
Subtopic
Programming Languages
Index
Computer Science

Table of contents

  1. Cover
  2. Front Matter
  3. 1. Introduction
  4. 2. Importing Data: readr
  5. 3. Representing Tables: tibble
  6. 4. Tidy Select
  7. 5. Reformatting Tables: tidyr
  8. 6. Pipelines: magrittr
  9. 7. Functional Programming: purrr
  10. 8. Manipulating Data Frames: dplyr
  11. 9. Working with Strings: stringr
  12. 10. Working with Factors: forcats
  13. 11. Working with Dates: lubridate
  14. 12. Working with Models: broom and modelr
  15. 13. Plotting: ggplot2
  16. 14. Conclusions
  17. Back Matter