R for data science : Import, tidy, transform, visualize, and model data / Hadley Wickham and Garrett Grolemund.
Publisher: Sebastopol, CA : O'Reilly Media, 2016Copyright date: 2017Edition: First editionDescription: xxv, 492 pages : illustrations (some color) ; 23 cmContent type:- text
- still image
- unmediated
- volume
- 9781491910399
- 1491910399
- 9781491910368
- 1491910364
- QA276.45.R3 W53 2016
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
BOOK | NCAR Library Mesa Lab | QA276.45 .R3 .W53 2016 | 1 | Available | 50583020006544 |
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"--Page 4 of cover.