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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.]Material type: TextTextPublisher: Sebastopol, CA : O'Reilly, 2016Copyright date: 2017Edition: First editionDescription: xxv, 492 pages, illustrations (some color), 23 cmContent type: text | still image Media type: unmediated Carrier type: volumeISBN: 9781491910399 (softcover); 1491910364Subject(s): R (Computer program language) | Data mining -- Computer programs | Information visualization -- Computer programs | Big data | Databases | Electronic data processing | StatisticsDDC classification: 006.312 LOC classification: QA276.45.R3 | W53 2016
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"-- Provided by publisher.
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Book Book Books at groups
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519-2017 (Browse shelf(Opens below)) Checked out 29/06/2022 AT-ISTA#001299
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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"-- Provided by publisher.

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