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

By: Wickham, Hadley [author.].
Contributor(s): Grolemund, Garrett [author.].
Publisher: Sebastopol, CA : O'Reilly, ©2017Copyright date: ©2017Edition: First edition.Description: 492 pages : illustrations (some color) ; 23 cm.Content type: text | still image Media type: unmediated Carrier type: volumeISBN: 9781491910399 (softcover).Subject(s): R (Computer program language) | Data mining -- Computer programs | Information visualization -- Computer programs | Big data | Databases | Big data | Databases | Electronic data processing | R (Computer program language) | StatisticsGenre/Form: Print books.
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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Current location Call number Status Date due Barcode Item holds
On Shelf QA276.45 .R3 W53 2017 (Browse shelf) Available AU00000000014061
Total holds: 0

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"--

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