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

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

"This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience"--

Dades bibliogràfiques
Autors principals: Wickham, Hadley (Autor), Grolemund, Garrett (Autor)
Format: Llibre
Idioma:English
Publicat: Beijing ; Sebastopol, CA : O'Reilly, c2017.
Matèries:
R (Computer program language)
Data mining > Computer programs.
Information visualization > Computer programs.
Big data.
Databases.
Computer science.
Classic Catalogue: View this record in Classic Catalogue
Taula de continguts:
  • 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.

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