Welcome to Central Library, SUST
Amazon cover image
Image from Amazon.com
Image from Google Jackets

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

By: Contributor(s): Material type: TextTextPublication details: Beijing : O'Reilly, 2023.Edition: 2nd edDescription: xxv, 492 p. : ills. ; 23 cmISBN:
  • 1492097403
  • 978-1492097402
Subject(s): DDC classification:
  • 519.2 21 WIR
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"--
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Books Books Central Library, SUST General Stacks 519.2 WIR (Browse shelf(Opens below)) 1 Available 0079945
Books Books Central Library, SUST General Stacks 519.2 WIR (Browse shelf(Opens below)) 2 Available 0079946

Includes bibliographical references and index.

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"--

There are no comments on this title.

to post a comment.