| 書目名稱 | XML and Web Technologies for Data Sciences with R | | 編輯 | Deborah Nolan,Duncan Temple Lang | | 視頻video | http://file.papertrans.cn/1061/1060106/1060106.mp4 | | 概述 | Covers important modern Web technologies from the R perspective.Describes over 30 R packages developed by the authors.Comprehensive examples show how to interface with many applications, Web services | | 叢書名稱 | Use R! | | 圖書封面 |  | | 描述 | .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 rea | | 出版日期 | Book 2014 | | 關(guān)鍵詞 | HTML; JSON document; R; XML; data science; data visualization with R | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4614-7900-0 | | isbn_softcover | 978-1-4614-7899-7 | | isbn_ebook | 978-1-4614-7900-0Series ISSN 2197-5736 Series E-ISSN 2197-5744 | | issn_series | 2197-5736 | | copyright | Springer Science+Business Media New York 2014 |
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