Power BI doesn't run queries for visuals that have unrelated groups. There's no measure added to the visual, and the grouping columns come from the same table.The Show items with no data feature doesn't have any effect in the following circumstances: In the Values fields well, right-click the field and select Show items with no data from the menu that appears, as shown in the following image:.To enable the Show items with no data feature, follow these steps: The Show items with no data feature lets you include data rows and columns that don't contain measure data (blank measure values). However, there may be times when you want to show items with no data. The previous section describes how Power BI determines which data is relevant to display. In that situation, Power BI issues an error of the type unconstrained join because such cross joins are expensive to compute in the database, and they don't provide much information to a user. The result would be a cross join of all the values of each column. The sample model doesn't include this combination, but if there are groups from different and unrelated tables, Power BI can't relate two columns. Groups from different and unrelated tables In this case, Power BI displays the combinations that have entries in the Product table, which excludes the combinations of ("None" + "Blue") and ("Matte" + "Red").Ĥ. In this case, Power BI injects a CALCULATE(COUNTROWS('Product')) measure, which shouldn't be blank, since Product is what is common to both tables. Groups from different but related tables and no measure: ProductStyle - Product ProductStyleīecause there's no explicit measure and the two tables are directly related, Power BI attempts to inject a measure to constrain the resulting combinations. The condition that determines which combinations exist is the value for Sum(Sales) not being blank.ģ. Combinations that don't exist in the model, such as ("None" + "Blue") or ("Matte" + "Red") won't be displayed. In this example, Power BI displays only combinations that exist. Groups from different but directly related tables and a measure: ProductStyle - Product - Sum(Sales) ProductStyle Now let's look at a different combination:Ģ. In this example, Power BI displays the combinations of that exist in the table. Groups from the same table: Product - Product Product Using the model represented in the example data model section, found at the end of this article, consider a table built with the following settings:ġ. To illustrate how Power BI determines which data is relevant to display, let's look at a table as a simple example. We've also included examples that show how determinations are made. This article describes how Power BI behaves when determining relevant data. Power BI determines which data is relevant based on the configuration of the visual and the underlying data model. When you create a visual, Power BI only shows relevant data to properly manage how data is presented and displayed. Power BI lets you visualize data from various sources.
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