Doing so makes time calculations much easier.
By adding columns with an index, you can quickly shift time periods. For example, you may want to calculate this month’s total sales and possibly last month’s sales. We can also start adding calculations that helps us move through date time calculations. Let us move further down the rabbit hole. This now generates is a date table that starts one year ago and populates all the dates until today. The same can be done when using the TODAY() function which only returns the date and not the time. Note: In this DAX table we used the NOW() function which returns a date and time. On the Modeling ribbon click the New Table icon and add the following DAX: Dates 4 =ĬALENDAR( DATE( YEAR( NOW() ) - 1, MONTH( NOW() ), DAY( NOW()) ), NOW()), Moving back to generating a date table by rows we can now use the DAX NOW function. We want to identify today’s date and then create a list of dates for the previous year. Let’s say we want to build a date calendar that will automatically grow and change over time. This is because the DAX function CALENDARAUTO will return the entire year of calendar dates even if it only finds one date within a given year period of time. When we look at the included dates in the new Date 3 table we have every date listed from January 1 to December 31st. Note: In the MyData table we added two dates, and. On the Modeling ribbon click the New Table icon and add the following DAX: Dates 3 = Now that we have loaded a table into the model with two dates, we can add our new date table. Click Load to add this data to the data model. Enter the following information into the Create Table screen. We will quickly create a dummy data table with a couple of dates, so we can use CALENDARAUTIO.Ĭlick Enter Data on the Home ribbon. To use CALENDARAUTO we need to supply a table with a column of dates. One option to change this table to auto detect dates within your data model is to replace the CALENDAR DAX statement with CALENDARAUTO(). While this is great, we have a date table now, but what we lack is flexibility and automatic time intelligence. Again, on the Modeling ribbon click the New Table icon and add the following DAX: Dates 2 = ADDCOLUMNS(ĬALENDAR( DATE( 2017, 1, 1), DATE(2017, 12, 31) ), Thus, if you want the date list to increase over time, or your using a NOW() in the DAX table you will need to be sure to schedule refreshes for the Power BI report in the service.īy contrast we can also generate the same data table by calculating our data column by column. Note: When creating DAX tables as we are doing so in this example, the DAX table only refreshes when the report refreshes. Variables are re-calculated for every row execution. The row iterates through each item in the list which was created by the CALENDAR function. The Return function generates one row at a time.We define variables (denoted by VAR) to capture details from the column named that is created by the CALENDAR function.The CALENDAR DAX function generates a table with a list of dates from Jan 1 to Dec 31 of 2017.Let’s walk through what is happening here. In the formula bar enter the following DAX expression: Dates =ĬALENDAR ( DATE ( 2017, 1, 1 ), DATE ( 2017, 12, 31 ) ), Open Power BI Desktop, on the Modeling ribbon click New Table. For this tutorial we will walk through a couple different examples that are specifically addressing creating a date calendar via DAX expressions.
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