Power Query will bring your results into Excel and the data may be viewed and manipulated as normal. Once you are comfortable with your table, click Close & Load beneath the Home menu ribbon. You can perform additional transformation steps on the data here in the Power Query Editor. The steps we just walked through are listed as Applied Steps on the right. Navigate to the property record by double clicking on Record.Ĭonvert the query results into a table by clicking Into Table.This returns a preview of the imported data. Create an Advanced request with the URL parts as the GET request you’d like to make and the Authorization header as your API key.Within Excel, go to the Data menu ribbon and click on From Web in the Get & Transform Data menu.To illustrate the process, let’s start by stepping through importing data through the user interface. Let’s take the use case where you want to import location details from Risk Modeler into Excel. Microsoft Excel 2010 or more recent on a Windows machine.Power Query offers many data source options for imports, such as files or databases, but the option to import data from the web is of particular interest because this mechanism can be used to pull data directly from RMS Intelligent Risk Platform REST APIs. #JSON MODELER CODE#Alternatively, users can write M code directly. When you create a new import or transformation by interacting with the components of the Power Query interface, M code is automatically generated. The Power Query Editor’s user-friendly user interface can be used to interactively import and perform transformations on data using the underlying “M” query execution engine, which runs queries expressed in the Power Query formula language (“M”). It enables rapid data import from multiple sources and cleaning of data right in Excel. Power Query is an ETL tool native to a range of Microsoft products, including Excel and Power BI.
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