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: 










Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Books at groups | Siegert Group | Not for loan | ||||
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Library | 519 (Browse shelf) | Checked out | 10/02/2021 | AT-ISTA#001299 |
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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