Power bi measure filter

Last week, a colleague at work had an interesting question with a client.

Join us in Las Vegas from March , Register Now. Hello, I am wanting to use a measure inside a visual filter - and have seen referenced numerous times. Below is my measure - returning either a 0 or 1. The measure works as expected when viewed from a Card Visual.

Power bi measure filter

We are going to show a report that does not work. We will then explore how to fix the problem by performing a deep analysis of the queries generated by Power BI, finding the problem, and finally fixing it. The value of the article is not in the specific solution exposed. This is especially true when you have the feeling that you are faced with a bug because Power BI is acting strange. If you do not like DAX before reading this article, you will like it even less at the end. But if you love DAX, then chances are you will really enjoy this read although it requires quite a lot of brain bandwidth. For sure, it took all of mine when I first encountered this behavior. If the previous paragraphs has not scared you off, here we go. To showcase the problem, we need to perform several preparation steps. Let us start with the model, which is a simple star schema with three tables only. The model is not based on our usual Contoso database. We use a highly simplified model with just a few rows and different fruit as products. Moreover, the Date table contains only the Year column, again for the sake of simplicity. The full content of the Sales table is synthetized in the following matrix.

A visual has an implicit definition of the target of the filter made by the columns or by a subset of the columns used in the visual. This is particularly evident in April and May where only one customer is included, as highlighted in red in the following screenshot. This browser is no longer supported, power bi measure filter.

Table An entire table or a table with one or more columns. This article describes a number of techniques available to filter tables in DAX, showing possible pitfalls that you can avoid once you know them, in particular using bidirectional filters. One of the hardest things to do, when learning DAX, is to get rid of common sense reasoning and learn to follow a new set of […] » Read more. This is important in order to avoid unexpected results with complex calculations made in filter arguments. Finding the right granularity for it is important to control the result and the performance. This article describes the options available to create complex filters in DAX. In this article we explore the differences between them, providing a few best practices in their use.

Filtering measures in Power BI is an essential technique for refining and enhancing your data visualization and analysis. Measures, which are custom calculations derived from your data, provide valuable insights into your dataset. Power BI offers a versatile range of options for filtering measures, enabling you to slice and dice your data in various ways to gain a deeper understanding of your business metrics. In this post, you will explore the diverse methods and strategies for effectively filtering measures in Power BI, allowing you to unlock the full potential of your data and deliver more insightful and actionable reports. Power BI provides various options for filtering measures. One of the most straightforward approaches to applying a filter to a measure is by utilizing category-based filtering.

Power bi measure filter

You can apply filtering to visualization elements. However, sometimes filtering has to be done on specific calculations. This can come in handy especially when you want to compare values of other items with specific items. The Filter function keeps the columns untouched, and it just reduces the number of rows based on filter criteria. The Filter function is a tabular function it returns a table as the result. It can be used to create a calculated table, or as a table input parameter for other functions.

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Message 12 of I actually struggled on understanding why assign the same measure to a VAR won't work as the same as directly use the measure in a formula. Additional resources In this article. Because there is a value for the ranking in all the years, the result of ValueFilterConstraintDM1 in this scenario is what we see in the following figure. Ranking in Indeed, those months display a Revenues value under or equal to Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type. It is important to understand this logic to obtain the correct results. Volatile A volatile function may return a different result every time you call it, even if you provide the same arguments. However, the granularity used to compute and apply the filter is controlled by other attributes included in the visualization. A visual has an implicit definition of the target of the filter made by the columns or by a subset of the columns used in the visual. The problem is that this table is used later as a filter argument in the evaluation of ValueFilterDM1.

Every visualization in Power BI has a Visual Level Filters section that by default includes all the columns and measures included in the visualization. This section can include additional filters over columns and measures. A measure used as a filter requires a target for the filter itself.

However, we did not change anything in the properties. The granularity of a measure filter can be controlled by using columns not displayed in the report, but this technique requires a deeper understanding of the possible side effects. Did you mean:. At the month level, only customers with Revenues higher than 9, in December are considered, including all the months in their Revenues YTD calculation. Engage with the Fabric engineering team, hear of product updates, business opportunities, and resources in the Fabric Partner Community. The three customers highlighted in red in the following screenshot , , and do not have any Revenues greater than 9, for any months. Please guide. In our case, we have now filtered the product table to the top products in the current filter context. To obtain this goal we can force Amt to be non-blank even if there are no sales for Bananas in a specific year. This is clear when navigating from one level to another. The table compares all Internet sales with non- USA Internet sales, to show that the filter expression works, by excluding United States sales from the computation.