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Kategorie szczegółowe BISAC

XML and Web Technologies for Data Sciences with R

ISBN-13: 9781461478997 / Angielski / Miękka / 2013 / 663 str.

Deborah Nolan; Duncan Temple Lang
XML and Web Technologies for Data Sciences with R Deborah Nolan Duncan Templ 9781461478997 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

XML and Web Technologies for Data Sciences with R

ISBN-13: 9781461478997 / Angielski / Miękka / 2013 / 663 str.

Deborah Nolan; Duncan Temple Lang
cena 403,47 zł
(netto: 384,26 VAT:  5%)

Najniższa cena z 30 dni: 385,52 zł
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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 Google Docs, 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. The authors have focused on the integration of these technologies with the R statistical computing environment. 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.

Kategorie:
Nauka, Matematyka
Kategorie BISAC:
Computers > Mathematical & Statistical Software
Mathematics > Prawdopodobieństwo i statystyka
Computers > Languages - General
Wydawca:
Springer
Seria wydawnicza:
Use R!
Język:
Angielski
ISBN-13:
9781461478997
Rok wydania:
2013
Wydanie:
2014
Numer serii:
000335139
Ilość stron:
663
Waga:
1.42 kg
Wymiary:
25.15 x 17.78 x 3.05
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Bibliografia
Glosariusz/słownik
Wydanie ilustrowane

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.

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.

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.  The authors have focused on the integration of these technologies with the R statistical computing environment.  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.

Nolan, Deborah SECOND ACT FOR CARRIE ARMSTRONG will be my third r... więcej >


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