XML and Web Technologies for Data Sciences with R
- 種類:
- 電子ブック
- 責任表示:
- by Deborah Nolan, Duncan Temple Lang
- 出版情報:
- New York, NY : Springer New York : Imprint: Springer, 2014
- 著者名:
- シリーズ名:
- Use R! ;
- ISBN:
- 9781461479000 [1461479002]
- 注記:
- 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 GoogleD
- ローカル注記:
- 学内専用E-BOOKS (local access only)
類似資料:
Springer New York : Imprint: Springer |
7
電子ブック
Excel 2010 for Biological and Life Sciences Statistics : A Guide to Solving Practical Problems
Springer New York : Imprint: Springer |
Springer New York : Imprint: Springer |
8
電子ブック
Excel 2007 for Biological and Life Sciences Statistics : A Guide to Solving Practical Problems
Springer New York : Imprint: Springer |
Springer New York : Imprint: Springer |
Springer New York : Imprint: Springer |
Springer Berlin Heidelberg : Imprint: Springer |
Springer New York : Imprint: Springer |
Springer New York |
Springer New York : Imprint: Springer |
Springer New York |
Springer International Publishing : Imprint: Springer |