R for data science : import, tidy, transform, visualize, and model data / Hadley Wickham and Garrett Grolemund.
Material type:
TextPublisher: Sebastopol, CA : O'Reilly, 2016Copyright date: 2017Edition: First editionDescription: xxv, 492 pages, illustrations (some color), 23 cmContent type: - text
- still image
- unmediated
- volume
- 9781491910399 (softcover)
- 1491910364
- 006.312 23
- QA276.45.R3 W53 2016
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
Book
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Books at groups | Siegert Group | Not for loan | |||||
Book
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Library | 519-2017 (Browse shelf(Opens below)) | Available | 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.