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R for data science : import, tidy, transform, visualize, and model data / Hadley Wickham; Garrett Grolemund.

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Sebastopol : O'Reilly, 2023.Edition: 2nd edDescription: xxiii, 550 p. : ill. ; 23 cmISBN:
  • 9789355429827 (pbk.)
  • 9789352134977
Subject(s): DDC classification:
  • 006.312 WIC
Contents:
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.
Summary: 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
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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.

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

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