000			02870cam a22003857i 4500
001			17931972
003			OSt
005			20150408114229.0
008			131106t20142014nyua b 001 0 eng d
010			_a 2013954669
016	7		_a016437206 _2Uk
020			_a1461478995
020			_a9781461478997
035			_a(OCoLC)ocn841520665
040			_aYDX _beng _cYDX _erda _dBTCTA _dUKMGB _dYAM _dSHH _dDLC
042			_alccopycat
050	0	0	_aQA76.76.H94 _bN65 2014
082			_222 _a004.67 _bNDX
100	1		_aNolan, Deborah Ann, _eauthor.
245	1	0	_aXML and Web technologies for data sciences with R / _cDeborah Nolan, Duncan Temple Lang.
300			_axxiv, 663 pages : _billustrations (some color) ; _c26 cm
490	1		_aUse R!
504			_aIncludes bibliographical references and indexes.
505	0		_aData Formats XML and JSON -- Web Technologies, Getting Data from the Web -- General XML Application Areas -- Bibliography -- General Index -- R Function and Parameter Index -- R Package Index -- R Class Index -- Colophon.
520			_aWeb technologies are increasingly relevant to scientists working with data, for both accessing data and creating rich dynamic and interactive displays. The XML and JSON data formats are widely used in Web services, regular Web pages and JavaScript code, and visualization formats such as SVG and KML for Google Earth and Google Maps. In addition, scientists use HTTP and other network protocols to scrape data from Web pages, access REST and SOAP Web Services, and interact with NoSQL databases and text search applications. This book provides a practical hands-on introduction to these technologies, including high-level functions the authors have developed for data scientists. It describes strategies and approaches for extracting data from HTML, XML, and JSON formats and how to programmatically access data from the Web. Along with these general skills, the authors illustrate several applications that are relevant to data scientists, such as reading and writing spreadsheet documents both locally and via GoogleDocs, creating interactive and dynamic visualizations, displaying spatial-temporal displays with Google Earth, and generating code from descriptions of data structures to read and write data. These topics demonstrate the rich possibilities and opportunities to do new things with these modern technologies. The book contains many examples and case-studies that readers can use directly and adapt to their own work.
650		0	_aXML (Document markup language)
650		0	_aR (Computer program language)
650		0	_aWeb services.
650		0	_aElectronic data processing.
700	1		_aLang, Duncan Temple, _eauthor.
830		0	_aUse R!
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2ddc _cBOOK
999			_c36179 _d270679