000			01745cam a22002775i 4500
020			_a9781491910399
020			_a9789352134977
082	0	4	_a006.31 _bWIC
100	1		_aWickham, Hadley,
245	1	0	_aR for data science : import, tidy, transform, visualize, and model data
250			_aFirst edition.
260			_aMumbai : _bShroff Publishers, _c2017
300			_axxv, 492 pages : _billustrations (some color) ;
500			_aOriginally published in Sebastopol, CA. by O'Reilly Media, 2016.
505	0		_aPart 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.
520			_a"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.
650		0	_aData mining
650		0	_aInformation visualization
650		0	_aR (Computer program language)
650		0	_aBig data.
650		0	_aDatabases.
650		7	_aElectronic data processing.
650		7	_aStatistics.
700	1		_aGrolemund, Garrett,
942			_cBK
999			_c44330 _d44330