000			02091cam a2200337 i 4500
999			_c186862 _d186861
001			20279228
005			20250211105058.0
008			180112s2018 flua b 001 0 eng
010			_a 2017056456
020			_a9781498730235 (pbk. : acidfree paper)
020			_a9781138480605 (hardback : acidfree paper)
020			_a9781315382111(ebook)
040			_beng
042			_apcc
050	0	0	_aQA76.9.D343 _bP429 2018
082	0	0	_a006.312 _223 _bPEA
100	1		_aPearson, Ronald K., _d1952-
245	1	0	_aExploratory data analysis using R / _cRonald K. Pearson.
264		1	_aBoca Raton : _bCRC Press/Taylor & Francis Group, _c2018.
300			_axiii, 547 pages : _billustrations ; _c24 cm.
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)
856			_3EB _uhttps://doi.org/10.1201/9781315382111 _ySF
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_cEB