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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Mailund, Thomas
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berkeley, CA : Apress, 2019.
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.