R 4 data science quick reference, a pocket guide to APIs, libraries, and packages, Thomas Mailund
Type
Label
R 4 data science quick reference, a pocket guide to APIs, libraries, and packages, Thomas Mailund
Language
eng
Illustrations
illustrations
Index
index present
Literary Form
non fiction
Main title
R 4 data science quick reference
Nature of contents
dictionaries
Oclc number
11349468003
Responsibility statement
Thomas Mailund
Sub title
a pocket guide to APIs, libraries, and packages
Summary
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
Table Of Contents
1. Introduction. - 2. Importing Data: readr -- 3. Representing Tables: tibble. - 4. Tidy+select, 5. Reformatting Tables: tidyr -- 6. Pipelines: magrittr -- 7. Functional Programming: purrr. - 8. Manipulating Data Frames: dplyr. - 9. Working with Strings: stringr -- 10. Working with Factors: forcats. - 11. Working with Dates: lubridate. - 12. Working with Models: broom and modelr. - 13. Plotting: ggplot2 -- 14. Conclusions