R Data Science Quick Reference A Pocket Guide to APIs, Libraries, and Packages /

• Κύριος συγγραφέας: Mailund, Thomas (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Programming languages (Electronic computers).; Computer programming.; Big data.; Data mining.; Programming Languages, Compilers, Interpreters.; Programming Techniques.; Big Data.; Data Mining and Knowledge Discovery.

In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them. In this book, you'll learn about the following APIs and packages that deal specifically w...

Πίνακας περιεχομένων:

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