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Excel power query1/2/2023 The statements are processed in the order presented to Power Query, so the statements need to be in the right order to be evaluated correctly. If you’ve ever needed a quick way to do statistical analysis of JSON data or convert it to a delimited format like CSV, Microsoft Excel’s power query gives you that ability. If and then Įlse if and then Īs with nesting any IF…ELSE statements, we need to make sure that the order of the statements is set up correctly – see our post about nesting IF statements here with important rules and tips. Importing JSON data into Excel power query Working with nested JSON data in Excel. For example, we might want to group one variable based on criteria in two other variables, or two conditions (such as greater than X and less than Y). To create an IF AND statement to combine conditions, we simply add ‘and’ between each condition. To create nested IF statements in Power Query, we chain a series of ‘if … then … else’ statements. = if > 17 then "Adult" else "Child" We’ve also used conditional formatting to highlight one of the categories.Ĭreate an IF AND … ELSE statement in Power Query and Power BI Microsoft released Power Query and Power Pivot as Excel Add-ons in 2010 but these. ![]() Power Query is an Excel function that allows you to import data from a variety of sources (Excel tables, CSV files, online database, etc.), and easily reconfigure the data into a pivot table in a spreadsheet. ![]() ![]() We’ve got a list of ages and values, and want to categorise the age values as either ‘Adult’ (age 18 and above) or ‘Child’. This wikiHow teaches you how to use the Power Query feature in Excel 2016 on a Windows and Mac computer. Here’s a simple IF then ELSE example in Power Query, splitting a list of values into two categories.
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