![]() ![]() Since this is a complete date column we need to choose the Year item from this column.Filter Expression that we are applying is for the column Order Date, so choose this column.The table we are applying a filter for is Sales_Table so choose the same table name. Mention the table name for which we are applying the filter.So open FILTER function to apply filter condition. ![]() while doing the sum of sales column what is the filter condition we need to apply. So open SUM function and choose the “Sales” column from “Sales_Table”.Īs of now, this will sum the “Sales” column now next argument is Filter1 i.e.what is the calculation we need to do, so we need to sum sales value column. The first argument of the CALCULATE function is Expression i.e. Since we need to sum sales values for the year 2015, open the CALCULATE function first.Right-click on the Sales_Table and choose the New Measure option. #Summarize power bi downloadSo you can download the excel workbook from the below link which is used for this example. Power BI Filter – Example #1įor demonstrating the Filter function consider the below data table that we are going to use. Let’s see some of the examples to understand the functionality of the Filter DAX function in Power BI. #Summarize power bi how toHow to Use Filter DAX Function in Power BI? In case of filtering individual city sales we need to select a city column and by putting equal sign we need to enter the city name in double-quotes.
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