000			02237cam a22003617i 4500
003			GSU
005			20260721112049.0
008			240423s2023 cc ab e b 001 0 eng
020			_a9781492097402 (paperback)
040			_aUKMGB _beng _erda _cGSU _dGSU
050	0	0	_aQA276.45.R3 _bWIC
100	1		_aWickham, Hadley, _eauthor.
245	1	0	_aR for data science : _bImport, tidy, transform, visualize, and model data / _cHadley Wickham, Mine Cetinkaya-Rundel, and Garrett Grolemund.
250			_aSecond edition.
264		1	_aBeijing ; _aSebastopol, CA : _bO'Reilly, _c©2023.
300			_axxiii, 548 pages : _billustrations (some colour), map (some colour) ; _c24 cm
336			_atext _2rdacontent _btxt
337			_aunmediated _2rdamedia _bn
338			_avolume _2rdacarrier _bnc
504			_aIncludes bibliographical references (pages 534-535) and index.
520			_aUse R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse--a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you've learned along the way.
650		0	_aData mining _xComputer programs.
650		0	_aInformation visualization _xComputer programs.
650		0	_aR Computer program language
650		0	_aBig data.
650		6	_aExploration de données (Informatique) _xLogiciels.
650		6	_aVisualisation de l'information _xLogiciels.
650		7	_aBig data _2fast
650		7	_aInformation visualization _2fast
700	1		_aÇetinkaya-Rundel, Mine, _eauthor.
700	1		_aGrolemund, Garrett, _eauthor.
942			_2lcc _cRB _hQA276.45.Rr3 _kQA _mWIC _n0
999			_c2859 _d2859