000			01587cam a2200277 i 4500
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003			KE-NaKCAU
005			20230925093609.0
008			180112s2018 flua b 001 0 eng
010			_a 2017056456
020			_a9780367571566
040			_aDLC _beng _cKE-NaKCAU _erda _dDLC
042			_apcc
050	0	0	_aQA76.9.D343 _bP429 2018
100	1		_aPearson, Ronald K., _eauthor.
245	1	0	_aExploratory data analysis using R / _cRonald K. Pearson.
260			_aBoca Raton : _bCRC Press, _c2018.
300			_axiii, 547 pages : _billustrations ; _c24 cm.
440			_aChapman & Hall/CRC Data Mining and Knowledge Series
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"--
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			_c18541 _d18541