000			01682cam a2200205 i 4500
999			_c39215 _d39215
020			_a9781032341705
082	0	0	_a005.54 _bBON-E
100	1		_aBonnell, Jerry, _eauthor.
245	1	0	_aExploring data science with R and the tidyverse: _bA concise introduction/ _cJerry Bonnell and Mitsunori Ogihara.
250			_aFirst edition.
260			_aCRC Prsss: _bLondon; _c2024,
300			_axv, 475 pages : _billustrations (some color) ;
504			_aIncludes bibliographical references and index.
505	0		_aData types -- Data transformation -- Data visualization -- Building simulations -- Sampling -- Hypothesis testing -- Quantifying uncertainty -- Towards normality -- Regression -- Text analysis.
520			_a"This book introduces the reader to data science using R and the tidyverse. No prerequisite knowledge is needed in college-level programming or mathematics (e.g., calculus or statistics). The book is self-contained so readers can immediately begin building data science workflows without needing to reference extensive amounts of external resources for onboarding. The contents are targeted for undergraduate students but are equally applicable to students at the graduate level and beyond. The book develops concepts using many real-world examples to motivate the reader. An accompanying R package "edsdata" contains synthetic and real datasets used by the textbook and is meant to be used for further practice. An exercise set is made available and designed for compatibility with automated grading tools for instructor use"--
650		0	_aData mining.
650		0	_aR (Computer program language)
700	1		_aOgihara, Mitsunori, _eauthor.
942			_2ddc _cBK