INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9781461479000
NATIONAL BIBLIOGRAPHY NUMBER
Country Code
IR
Number
EN-50030
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
COUNTRY OF PUBLICATION OR PRODUCTlON
Country of publication
IR
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
XML and Web Technologies for Data Sciences with
General Material Designation
[Book]
First Statement of Responsibility
/ electronic resource
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New York, NY
Name of Publisher, Distributor, etc.
: Springer New York :Imprint: Springer,
Date of Publication, Distribution, etc.
, 2014.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
XXIV, 663 s. 65 illus., 51 illus. in color. , online resource..
SERIES
Series Title
(Use R!,2197-5736)
GENERAL NOTES
Text of Note
9781461478997.
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Print
CONTENTS NOTE
Text of Note
Summary: Web technologies are increasingly relevant to scientists working with data, for both accessing data and creating rich dynamic and interactive displays.a 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.a 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.a This book provides a practical hands-on introduction to these technologies, including high-level functions the authors have developed for data scientists.a It describes strategies and approaches for extracting data from HTML, XML, and JSON formats and how to programmatically access data from the Web.a 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.a These topics demonstrate the rich possibilities and opportunities to do new things with these modern technologies.a The book contains many examples and case-studies that readers can use directly and adapt to their own work.a The authors have focused on the integration of these technologies with the R statistical computing environment.a However, the ideas and skills presented here are more general, and statisticians who use other computing environments will also find them relevant to their work. Deborah Nolan is Professor of Statistics at University of California, Berkeley. Duncan Temple Lang is Associate Professor of Statistics at University of California, Davis and has been a member of both the S and R development teams.
Text of Note
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.
SERIES
Title
Use R!,2197-5736
TOPICAL NAME USED AS SUBJECT
Statistics
Computer science
Mathematical statistics
Statistics
Statistics and Computing/Statistics Programs
Programming Languages, Compilers, Interpreters
Statistics, general
LIBRARY OF CONGRESS CLASSIFICATION
Class number
E-BOOK
PERSONAL NAME - PRIMARY RESPONSIBILITY
Nolan, Deborah.
PERSONAL NAME - SECONDARY RESPONSIBILITY
Temple Lang, Duncan
SpringerLink (Online service)
ORIGINATING SOURCE
Country
ایران
ELECTRONIC LOCATION AND ACCESS
Host name
9781461478997.pdf
Access number
عادی
Compression information
عادی
Date and Hour of Consultation and Access
9781461478997.pdf
Electronic Format Type
متن
old catalog
p
BL
1
a
Y
