R Data Science Quick Reference : a Pocket Guide to APIs, Libraries, and Packages /
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...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berkeley, CA :
Apress,
2019.
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Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- 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.