You won’t be able to connect to the data source or view it in the Power Query Editor. This sales data from the fictitious company Contoso, Inc. The tutorial uses the Contoso Sales Sample for Power BI Desktop, the same sample used for the Create your own measures in Power BI Desktop tutorial. If you’re new to Power BI Desktop, be sure to check out Getting Started with Power BI Desktop. You should already know how to use Get Data and the Power Query Editor to import data, work with multiple related tables, and add fields to the Report canvas. This tutorial is intended for Power BI users already familiar with using Power BI Desktop to create more advanced models. This tutorial will guide you through understanding and creating some calculated columns and using them in report visualizations in Power BI Desktop. You use calculated columns as new Fields in the rows, axes, legends, and group areas of visualizations. You often use measures in a visualization's Values area, to calculate results based on other fields. For example, let’s say your data has City and State fields, but you want a single Location field that has both, like "Miami, FL".Ĭalculated columns are similar to measures in that both are based on DAX formulas, but they differ in how they're used. This tool is useful for anything from putting together text values from a couple of different columns to calculating a numeric value from other values. Calculated columns use Data Analysis Expressions (DAX) formulas to define a column’s values. Calculated columns are useful for this situation. Sometimes the data you’re analyzing doesn’t contain a particular field that you need to get your desired results.
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