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

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
Autor principal: Mailund, Thomas. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2019.
Edición:1st ed. 2019.
Materias:
Programming languages (Electronic computers).
Computer programming.
Big data.
Data mining.
R (Computer program language).
Programming Languages, Compilers, Interpreters.
Programming Techniques.
Big Data.
Data Mining and Knowledge Discovery.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631027206719
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.

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