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In 2012, several of the authors (Kandel, Hellerstein, Heer) went on to found Trifacta, which is a commercialization of the software in the Wrangler project.Since then, a number of other companies have developed products. These include both commercial and freely available offerings.The XML standard also defines Extensible Stylesheet Language Transformation (XSLT) (.xslt) files, which are used to apply styles and transform XML data into different presentation formats.You can apply these transforms before you import XML files into Excel and after you export XML files from Excel.

You can easily import this information from databases and applications, revise it, and export it to the same or other databases and applications.Microsoft Excel makes it easy to import Extensible Markup Language (XML) data that is created from other databases and applications, to map XML elements from an XML schema to worksheet cells, and to export revised XML data for interaction with other databases and applications.Think of these XML features as turning Office Excel into an XML data file generator with a familiar user interface.XML is a technology that is designed for managing and sharing structured data in a human-readable text file.XML follows industry-standard guidelines and can be processed by a variety of databases and applications.The following are key scenarios that the XML features are designed to address: The following diagram shows how the different files and operations work together when you use XML with Excel.Essentially, there are five phases to the process: Adding an XML schema file (.xsd) to a workbook Mapping XML schema elements to individual cells or XML tables Importing an XML data file (.xml) and binding the XML elements to mapped cells Entering data, moving mapped cells, and leveraging Excel functionality, while preserving XML structure and definitions Exporting revised data from mapped cells to an XML data file You can create or open a workbook in Excel, attach an XML schema file (.xsd) to the workbook, and then use the XML Source task pane to map XML elements of the schema to individual cells or tables.Analysts could interactively explore, change and manipulate the data and immediately see results.Wrangler tracked the user’s data transformations and could then automatically generate code or scripts that could be applied repeatedly on other datasets.via spreadsheets such as Excel) or via hand-written scripts in languages such as Python or SQL.R, a language often used in data mining and statistical data analysis, is now also often, which was “an interactive system for creating data transformations.” Wrangler introduced a new way to perform data wrangling through direct interaction with data presented in a visual interface.

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