000			02011cam a2200337 i 4500
001			20279228
003			OSt
005			20240321112407.0
008			180112s2018 flua b 001 0 eng
010			_a 2017056456
020			_a9781138480605
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
050	0	0	_aQA76.9.D343 _bP43 2018
100	1		_aPearson, Ronald K., _d1952- _eauthor.
245	1	0	_aExploratory data analysis using R / _cRonald K. Pearson.
264		1	_aBoca Raton : _bCRC Press/Taylor & Francis Group, _c2018.
300			_axiii, 547 p.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aChapman & Hall/CRC data mining and knowledge discovery, _v45.
500			_a"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc."
504			_aIncludes bibliographical references and index.
520			_a"This textbook will introduce exploratory data analysis (EDA) and will cover the range of interesting features we can expect to find in data. The book will also explore the practical mechanics of using R to do EDA. Based on the author's course at the University of Connecticut, the book assumes no prior exposure to data analysis or programming, and is designed to be as non-mathematical as possible. Exercises are included throughout, and a Solutions Manual will be available. The author will also provide a supplemental R package through the Comprehensive R Archive Network that will include implementations of some of the features in this book, along with data examples, tools, and datasets"-- _cProvided by publisher.
650		0	_aData mining _xComputer programs.
650		0	_aR (Computer program language)
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK
999			_c20417 _d20416