This is a very simple example of how filter context works, and as you can see, it can have a big impact on the values shown and you do not always get the results you expect. So, DAX takes the total units sold, 351341 and checks to see if this is greater or equal to 100 and as it is, DAX also returns 1 for the totals. When we get to the total row, there is no filter on product. The same calculation is applied for each row of the table. DAX will sum the total units sold, giving 58361, and then it checks to see if this value is greater or equal to 100 and returns 1 because this value is greater than 100. The same calculation is carried out for that row of the table. As this value is greater than 100, 1 is returned as the number of large sales for bikes.ĭAX then moves to the second row on the table, which has a filter for Doll. The IF statement then asks if this value is greater or equal to 100. DAX then filters the table to just bikes and then calculates the sum of the units sold on only that filter section. When we add this measure to our table, which contains products as the filter, DAX filters the table by each Product. Therefore, before we use filters on this measure, the measure takes the value from our total units measure and checks to see if it is greater than 100 and if it is greater than 100, it returns 1. There are no external filters (rows, columns, slicers) until we add the measure to a chart or table.
When we create the measure, =IF(>=100,1) we create this without any filter. Xem Thêm : Kinh nghiệm kinh doanh quần áo hút khách nườm nượpīefore we move on to correcting the total, and other values in this report, let’s work out what is going on by way of filters. I know from the data this is not the case. If each product has 1 large sale and there are 6 products, then should the total not be 6? And that’s assuming each product does have only 1 large sale. However, DAX is calculating each product to have only 1 large sale and the total is showing as 1. The first measure, Total Units looks fine. Using Product as a filter on the row we can place these two measures into a table. In our product sales table, we have created the following two measures. We want to see how many orders are for units of 100 or more. Our Product_sales Table contains a column for the number of units sold. Understanding Filter Context in Dax – Example 1 Product_sales being the facts table and products and data being our dimensions tables. And then we will look at how we can resolve these problems. Again, these filters are based on using the AND statement.įor the remainder of this article, We will work through some examples of filter context and how they can create incorrect totals or really, totals you are not expecting. For example, the value of Dolls in 2018 contains a filter that in English says Filter for 2018 AND also filter for Dolls.Īny filter, slicers, and timelines that you included on a pivot table or chart also provide filter context.
These filters are calculated using the AND statement. In the image below, the Year and the Product Category have been added to a pivot table as filters. You can apply filters in many ways.īoth rows and columns on a pivot table or chart provide filters.
To understand how DAX is calculating values, totals, and subtotals, you need to understand the filter context. Step 3 – Apply the IF statement to our original calculation.Ĭorrecting Totals and Subtotals in DAX for PowerBI and Power Pivot. Step 2: Use Logical test in an IF statement to apply values to non-total rows. Step 1 – Create a logical test to see if a row is a total or subtotal Understanding Filter Context in Dax – Example 2
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Test your totals – how to fix incorrect totals in DAX for Power BI and Power Pivot Correcting Totals and Subtotals in DAX for PowerBI and Power Pivot.Step 3 – Apply the IF statement to our original calculation.Step 2 – Use Logical test in an IF statement to apply values to non-total rows.Step 1 – Create a logical test to see if a row is a total or subtotal.Understanding Filter Context in Dax – Example 2.Understanding Filter Context in Dax – Example 1.
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