Wickham, Hadley <br/><br/>
R for data science :  import, tidy, transform, visualize, and model data / 
Hadley Wickham and Garrett Grolemund. 
 - First edition. 
 - xxv, 492 pages :  illustrations (some color) ;  23 cm 
<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"--  
<br/><br/><label>ISBN: </label>9781491910399 
<br/><br/><label>Subjects--Topical Terms: </label><br/>R (Computer program language)--Handbooks, manuals, etc.<br/>Data mining--Computer programs<br/>Information visualization--Computer programs<br/>Big data<br/>Databases
<br/><br/><label>LC Class. No.: </label>QA276.45.R3  / W53 2016