عنوان

XML and Web Technologies for Data Sciences with

شابک

9781461479000

کد کشور

IR

شماره

EN-50030

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

کشور محل نشر

IR

عنوان اصلي

XML and Web Technologies for Data Sciences with

نام عام مواد

[Book]

نام نخستين پديدآور

/ electronic resource

محل نشرو پخش و غیره

New York, NY

نام ناشر، پخش کننده و غيره

: Springer New York :Imprint: Springer,

تاریخ نشرو بخش و غیره

, 2014.

نام خاص و کميت اثر

XXIV, 663 s. 65 illus., 51 illus. in color. , online resource..

عنوان فروست

(Use R!,2197-5736)

متن يادداشت

9781461478997.

متن يادداشت

Print

متن يادداشت

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.

متن يادداشت

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.

عنوان

Use R!,2197-5736

موضوع مستند نشده

Statistics

موضوع مستند نشده

Computer science

موضوع مستند نشده

Mathematical statistics

موضوع مستند نشده

Statistics

موضوع مستند نشده

Statistics and Computing/Statistics Programs

موضوع مستند نشده

Programming Languages, Compilers, Interpreters

موضوع مستند نشده

Statistics, general

شماره رده

مستند نام اشخاص تاييد نشده

Nolan, Deborah.

مستند نام اشخاص تاييد نشده

Temple Lang, Duncan

مستند نام اشخاص تاييد نشده

SpringerLink (Online service)

کشور

ایران

نام ميزبان

9781461478997.pdf

شماره دسترسي

عادی

اطلاعات مختصر

عادی

تاريخ و ساعت مذاکره و دسترسي

9781461478997.pdf

نوع فرمت الکترونيکي

متن

وضعیت فهرست نویسی

old catalog

فرمت انتشار

p

نوع ماده

BL

پیشوند ISBD اعمال شده است

1

سطح دسترسي

a

تكميل شده

Y