000			02014nam a22002297a 4500
003			ISI Library, Kolkata
005			20240715160643.0
008			240715b |||||||| |||| 00| 0 eng d
020			_a9781119080022
040			_aISI Library _bEnglish
082	0	4	_aSA.055 _bB988
100	1		_aButtrey, Samuel E. _eauthor
245	1	0	_aA data scientist's guide to acquiring, cleaning, and managing data in R/ _cSamuel E. Buttrey and Lyn R. Whitaker
260			_aNew Jersey: _bWiley, _c2018
300			_axxi, 288 pages; _c23 cm.
504			_aIncludes bibliography and index
505	0		_aR -- R data, part 1: vectors -- r data, part 2: more complicated structures -- R data, part 3: text and factors -- Writing functions and scripts -- Getting data into and out of R -- Data handling in practice -- Extended exercise
520			_aEvery experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process. Adding to the difficulty is that most modelers learn the steps involved in cleaning and managing data piecemeal, often on the fly, or they develop their own ad hoc methods. This book helps simplify their task by providing a unified, systematic approach to acquiring, modeling, manipulating, cleaning, and maintaining data in R. Starting with the very basics, data scientists Samuel E. Buttrey and Lyn R. Whitaker walk readers through the entire process. From what data looks like and what it should look like, they progress through all the steps involved in getting data ready for modeling. They describe best practices for acquiring data from numerous sources; explore key issues in data handling, including text/regular expressions, big data, parallel processing, merging, matching, and checking for duplicates; and outline highly efficient and reliable techniques for documenting data and recordkeeping, including audit trails, getting data back out of R, and more.
650	0		_aStatistical Computing
700	1		_aWhitaker, Lyn R. _eauthor
942			_2ddc _cBK
999			_c434926 _d434926