Topic: Time Intelligence
-
This article compares two common techniques to filter time periods in DAX: calculation groups and many-to-many relationships. Read more
-
In this article we demonstrate how to use calculation groups to show the behavior of any measure in the last 6 months, starting from a single date selection with a slicer. This can be applied to any number of months. Read more
-
Rolling averages over time (a.k.a. moving averages or running averages) are useful to smoothen chart lines and to make trends more evident. This article shows how to compute a rolling average over 12 months, in DAX. Read more
-
This article describes how to compute previous year values up to a certain date. This is useful in case the data is presenting incomplete months or years. Read more
-
Time intelligence functions oftentimes hide an automatic ALL statement meant to make time intelligence calculations easier. This article describes this behavior and what to do in case it ends up breaking your calculation. Read more
-
This article introduces a technique to filter and productively compare two time periods with Power BI. Read more
-
If you do not have a full month with data, comparisons such as year-over-year (YOY) might require particular filters in order to do a like for like comparison in DAX. This article describes how to write DAX expressions comparing equivalent… Read more
-
In Power BI Desktop (as of February 2016) you have to use DAX to apply calculations over dates (such as year-to-date, year-over-year, and others), but you do not have the Mark as Date Table feature. This article describes which scenarios… Read more
-
This article describes how to implement a custom year-over-year calculation in DAX based on arbitrary associations between different periods. As an example, we describe the comparison of the 53rd week in a ISO Calendar. Read more
-
Values such as inventory and account balance, usually calculated from a snapshot table, require the use of semi-additive measures. This article describes how to implement these calculations in DAX according to your specific requirements. Read more