XML and Web Technologies for Data Sciences with R by Deborah Nolan, Duncan Temple Lang

By Deborah Nolan, Duncan Temple Lang

Internet applied sciences are more and more suitable to scientists operating with information, for either gaining access to facts and developing wealthy dynamic and interactive screens. The XML and JSON facts codecs are favourite in internet prone, common web content and javascript code, and visualization codecs comparable to SVG and KML for Google Earth and Google Maps. moreover, scientists use HTTP and different community protocols to scrape info from websites, entry relaxation and cleaning soap internet companies, and have interaction with NoSQL databases and textual content seek functions. This e-book offers a realistic hands-on creation to those applied sciences, together with high-level features the authors have built for information scientists. It describes options and methods for extracting facts from HTML, XML, and JSON codecs and the way to programmatically entry info from the Web.
Along with those normal talents, the authors illustrate numerous purposes which are proper to facts scientists, similar to studying and writing spreadsheet files either in the neighborhood and through Google medical doctors, developing interactive and dynamic visualizations, showing spatial-temporal screens with Google Earth, and producing code from descriptions of knowledge buildings to learn and write info. those themes show the wealthy chances and possibilities to do new issues with those smooth applied sciences. The e-book comprises many examples and case-studies that readers can use without delay and adapt to their very own paintings. The authors have excited about the mixing of those applied sciences with the R statistical computing atmosphere. notwithstanding, the tips and abilities offered listed below are extra normal, and statisticians who use different computing environments also will locate them suitable to their paintings.

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It implies nothing about the validity of the content or meaning of the document. It may contain elements or attributes that make no sense or have no definition within the vocabulary. Similarly, it may have elements that are in the wrong location or incorrect order. XML schema and DTDs (Document Type Definitions) are used to specify the validity rules for a particular XML vocabulary. We will briefly discuss these later in this chapter. 1 Syntax Checkers Most XML documents are created programmatically so they are typically well-formed, unless the software used to create them is broken.

DataFrame> We typically use an XML attribute when describing metadata about the data within the element. For example, an attribute might specify the number of observations in the data frame; a printing option such as the number of digits; or whether or not to evaluate the code in an node. , whether or not to evaluate code is separate from the actual code within an element. 1 When the need to have duplicates arises, it often suggests using child elements rather than attributes.

Child elements are typically either regular XML elements, with a start and end tag, or simple text content. Text elements are simple XML elements that can have no children. We can 24 2 An Introduction to XML also have other types of XML elements such as comments, processing instructions, etc. However, the data in an XML document are mostly in regular elements, text nodes, and attributes. 1 illustrates how we can mix regular elements and text as child nodes. This is text ... , "This is text ...

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