Wickham, Hadley <br/><br/>
R for data science   import, tidy, transform, visualize, and model data   
Hadley Wickham and Garrett Grolemund 
 - First edition 
 - Sebastopol, California  O'Reilly Media,  2017 
 - xxv, 492 pages   illustrations (some color) ;  23 cm  Hardback book. 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>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 
<br/><br/> 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 
<br/><br/><label>ISBN: </label>9781491910399 ((paperback)) 1491910399 ((paperback)) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data mining--Computer programs.<br/>Information visualization--Computer programs.<br/>R (Computer program language)<br/>Big data.<br/>Databases.
<br/><br/><label>LC Class. No.: </label>QA276.45.R3  / W53 2016 
<br/><br/><label>Dewey Class. No.: </label>006.312 Wic   6