XML and Web Technologies for Data Sciences with R

XML and Web Technologies for Data Sciences with R

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...

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Bibliographic Details
Published in:Springer eBooks
Main Authors: Nolan, Deborah (Author), Temple Lang, Duncan (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2014.
Series:Use R!,
Subjects:
Statistics.
Computer Science.
Mathematical statistics.
Statistics and Computing/Statistics Programs.
Programming Languages, Compilers, Interpreters.
Statistics, general.
Online Access:http://dx.doi.org/10.1007/978-1-4614-7900-0
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Table of Contents:
  • 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.

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