000			03301nam a22003617a 4500
003			IIITD
005			20250228020003.0
008			240401b xxu||||| |||| 00| 0 eng d
020			_a9789355429827
040			_aIIITD
082			_a 004 _bWIC-R
100	1		_aWickham, Hadley
245	1	0	_aR for data science : _bimport, tidy, transform, visualize, and model data _cby Hadley Wickham, Mine Cetinkaya-Rundel and Garrett Grolemund.
250			_a2nd ed.
260			_aBeijing : _bO'Reilly, _c©2023
300			_axxiii, 548 p. : _bcol. ill. ; _c24 cm
504			_aIncludes bibliographical references and index.
505	0		_tPart I. Whole Game _tPart II. Visualize _tPart III. Transform _tPart IV. Import _tPart V. Program _tPart VI. Communicate
520			_aLearn how to use R to turn raw data into insight, knowledge, and understanding. 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, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle —transform your datasets into a form convenient for analysis Program —learn powerful R tools for solving data problems with greater clarity and ease Explore —examine your data, generate hypotheses, and quickly test them Model —provide a low-dimensional summary that captures true "signals" in your dataset Communicate —learn R Markdown for integrating prose, code, and results. "Learn how to use R to turn raw data into insight, knowledge, and understanding. 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, R for Data Science is designed to get you doing data science as quickly as possible.Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way"--Publisher's summary. Collapse summary
650		0	_aR (Computer program language)
650		0	_aData mining _xComputer programs.
650		0	_aInformation visualization _xComputer programs.
650		0	_aBig data.
650		0	_aDatabases.
650		7	_aBig data. _2fast
650		7	_aDatabases. _2fast
650		7	_aElectronic data processing. _2fast
650		7	_aR (Computer program language) _2fast
650		7	_aStatistics. _2fast
700	1		_aCetinkaya-Rundel, Mine
700	1		_aGrolemund, Garrett
942			_2ddc _cBK _09
999			_c172342 _d172342