R 4 Data Science Quick Reference : A Pocket Guide to APIs, Libraries, and Packages

R 4 Data Science Quick Reference A Pocket Guide to APIs, Libraries, and Packages

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,...

Descripción completa

Detalles Bibliográficos
Otros Autores: Mailund, Thomas, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2022.
Edición:2nd ed. 2022.
Materias:
R (Computer program language)
Statistics > Data processing.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009701334006719
Tabla de Contenidos:
  • 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.

Ejemplares similares