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

By:

Contributor(s):

Grolemund, Garrett

Material type: Text

TextPublication details: Mumbai Shroff 2017Description: xxv, 492p. illustrations (some color) ; 23 cmISBN:

9789352134977

Subject(s): DDC classification:

006.312 23 WI-R

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"--

Item type:

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Holdings
Item type	Home library	Collection	Call number	Status	Date due	Barcode
Print	OPJGU Sonepat- Campus Main Library	General Books	006.312 WI-R (Browse shelf(Opens below))	Available		140634

Includes bibliographical references and index.

"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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