The JSON format is no doubt here to stay and if you want heart rate data it is the only way to get it. There will no doubt be more so here is another thread so we can learn more about the content, provide further feedback to the Fitbit team and hopefully get things fixed. The tread has been marked as resolved but only because after a huge outcry the original CSV data export was reinstated. That’s good: That will mean your friendly IT administrator is more likely to assist you with your Power Query tasks.Īlso, notice the Power Query Editor has tabs with different transformations and a shortcut menu, accessible via right-clicking the mouse.Has been a lengthy discussion about the use of the JSON file format over on this thread, which is now closed. The data has been imported as “read only”, and nothing you do will in any way affect the source data. Try typing over the text: You will see that you can’t. It is essentially a list of column names that shows in this instance that all the fields have been assumed to be text. This is a simple example of what is known as M code, which is the underlying programming language of Power Query (the calculation engine is known as the Mashup Engine). If the formula bar does not appear for you, don’t worry: Simply go to the View tab on the Ribbon and activate the Formula Bar checkbox in the Layout section. The syntax for this (displayed in the formula bar) is: The source has been identified and brought in.
CSV, not as an Excel format), create a new Excel workbook, and click on Data > From Text/CSV. CSV file and convert the dates using this technique (or you can just correct them by hand for this example). If you are using Excel with US date format, you will need to open the. To follow along with this example, download this Excel file with the sample data saved in CSV format. Getting startedįor this example, we are going to use the From Text/CSV option (in the Get & Transform Data grouping of the Data tab on the Excel Ribbon) and browse to the location of a simple expense CSV file. Power Query provides plenty of useful features for accountants, but this article focuses on how easy it is to transform CSV data. It’s not the “sexy end” of the business intelligence suite of tools, but it’s absolutely essential. Whatever you prefer to call it (we’ll call it Power Query in this article), this software allows you to connect to data from a variety of sources (eg, Excel files, internet data, SAP business warehouses, Access files, and other databases), then manipulate it, say, by removing unnecessary data, additional spaces, and unpivoting elements, and finally load the tailored version of the combined files in such a way they may be used by Excel (eg, Power Pivot) for further analysis.
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