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XML and Web technologies for data sc...

Lang, Duncan Temple,

XML and Web technologies for data sciences with R /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	XML and Web technologies for data sciences with R /Deborah Nolan, Duncan Temple Lang.
Author:	Nolan, Deborah Ann,
other author:	Lang, Duncan Temple,
Published:	New York :Springer,c2014.
Description:	xxiv, 663 p. :ill. (some col.) ;26 cm.
Subject:	Electronic data processing.
Online resource:	http://www.loc.gov/catdir/enhancements/fy1503/2013954669-t.html
Online resource:	http://www.loc.gov/catdir/enhancements/fy1503/2013954669-b.html
Online resource:	http://www.loc.gov/catdir/enhancements/fy1503/2013954669-d.html
ISBN:	9781461478997 (pbk.) :

XML and Web technologies for data sciences with R /
Nolan, Deborah Ann,

XML and Web technologies for data sciences with R /Deborah Nolan, Duncan Temple Lang. - New York :Springer,c2014. - xxiv, 663 p. :ill. (some col.) ;26 cm. - Use R!. - Use R!.

Includes bibliographical references and indexes.

Data 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.

Web 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.

ISBN: 9781461478997 (pbk.) :NT$1793

LCCN: 2013954669

Nat. Bib. Agency Control No.: 016437206UkSubjects--Topical Terms:

201945
Electronic data processing.

LC Class. No.: QA76.76.H94 / N65 2014

XML and Web technologies for data sciences with R /
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020 $a 1461478995 (pbk.)
020 $z 9781461479000 (electronic bk.)
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050 0 0 $a QA76.76.H94 $b N65 2014
100 1 $a Nolan, Deborah Ann, $e author. $3 765723
245 1 0 $a XML and Web technologies for data sciences with R / $c Deborah Nolan, Duncan Temple Lang.
260 $a New York : $b Springer, $c c2014.
300 $a xxiv, 663 p. : $b ill. (some col.) ; $c 26 cm.
490 1 $a Use R!
504 $a Includes bibliographical references and indexes.
505 0 $a Data 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 $a Web 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 $a Electronic data processing. $3 201945
650 0 $a R (Computer program language) $3 210846
650 0 $a Web services. $3 214966
650 0 $a XML (Document markup language) $3 204564
700 1 $a Lang, Duncan Temple, $e author. $3 765724
830 0 $a Use R! $3 558822
856 4 1 $3 Table of contents only $u http://www.loc.gov/catdir/enhancements/fy1503/2013954669-t.html
856 4 2 $3 Contributor biographical information $u http://www.loc.gov/catdir/enhancements/fy1503/2013954669-b.html
856 4 2 $3 Publisher description $u http://www.loc.gov/catdir/enhancements/fy1503/2013954669-d.html

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