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R for data science : import, tidy, transform, visualize, and model data /

Detalles Bibliográficos
Autor principal: Wickham, Hadley (autor)
Otros Autores: Grolemund, Garrett (autor)
Formato: Libro
Lenguaje:English
Publicado: Sebastopol, CA : O'Reilly, 2016.
Edición:First edition.
Materias:
Tabla de Contenidos:
  • Part I. Explore. Data visualization with ggplot2
  • Workflow: basics
  • Data transformation with dplyr
  • Workflow: scripts
  • Exploratory data analysis
  • Workflow: projects
  • Part II. Wrangle. Tibbles with tibble
  • Data import with readr
  • Tidy data with tidyr
  • Relational data with dplyr
  • Strings with stringr
  • Factors with forcats
  • Dates and times with lubridate
  • Part III. Program. Pipes with magrittr
  • Functions
  • Vectors
  • Iteration with purrr
  • Part IV. Model. Model basics with modelr
  • Model building
  • Many models with purrr and broom
  • Part V. Communicate. R Markdown
  • Graphics for communication with ggplot2
  • R Markdown formats
  • R Markdown workflow.