Power bi measure filter

We are going to show a report that does not work.

Last week, a colleague at work had an interesting question with a client. Or in more simple terms, he wants to filter the table by a measure and then perform another calculation on the filtered table. A characteristic of a measure is, that they always require a filter context. This formula requires a filter context to execute against. Do I want to calculate the sales numbers per product or better the sales numbers by year? Or maybe by country or by customer? All these scenarios can be solved with the same formula that I just mentioned.

Power bi measure filter

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. 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 user interface of Power BI does not feature a specific tool to specify a target for the filters defined at the page and report levels. This is the reason why measures can only be used as filters in visual level filters. In Power BI it is possible to create a measure filter working at a granularity that is different from the one shown in a report by the visual. However, this technique gets different results depending on the visualizations used in the report, and it can have unexpected or counter-intuitive side effects in the measures used in the report. The goal of this article is to explain how to use a measure as a filter in a Power BI visualization, controlling the granularity and the possible side effects, all the while writing measures that will provide the correct results and avoiding unexpected behaviors. Consider a simple data model reporting revenue by date.

A measure used as a filter requires a target for the filter itself.

Join us in Las Vegas from March , Register Now. Go to Solution. Have you tried the VAR function that I mentioned in your previous thread? In this scenario, the formula should like below. If the result is still not right, could you post your table structure and the measures you use, and some sample data in your case? View solution in original post.

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. 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 user interface of Power BI does not feature a specific tool to specify a target for the filters defined at the page and report levels.

Power bi measure filter

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.

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Information coming from Microsoft documentation is property of Microsoft Corp. As one might expect, by applying this filter the visualization reduces the rows displayed and filters out the months between January and October The value of the article is not in the specific solution exposed. But basically, most functions simply return tables that override the filter context of the current measure. So at least it should be wrapped in a table aggregation function. As we have seen in a previous screenshot, Ranking returns three for Banana. Another possible solution is to just add the Ranking measure to the values of the matrix, and to reduce the width of the column containing Ranking to zero in order to effectively hide it. Here we just reproduce the first few lines, which are interesting for our investigation:. The filter is applied to the customers at the year level, though the evaluation of the measure in the matrix also includes the month level. However, we did not change anything in the properties. What is the error that you get? Returns a table that has been filtered. Message 3 of 6. In the Visual Level Filters section, the Revenues measure can have a filter as in the following example that requires Revenues to be greater than

Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. You can use FILTER to reduce the number of rows in the table that you are working with, and use only specific data in calculations. FILTER is not used independently, but as a function that is embedded in other functions that require a table as an argument.

All forum topics Previous Topic Next Topic. The solution Now that we have a clear picture of the problem, we need to solve it. Indeed, just removing the Ranking measure from the values produces three rows instead of the previous two. Every visualization in Power BI has a Visual Level Filters section that by default includes all the columns and measures included in the visualization. For this reason, customers displayed in one month could be ignored in following months. As table to be filtered we take our virtual table just stored in the variable:. For a matrix visual, the filter granularity is defined by attributes applied to the Rows section of the matrix, ignoring the attributes applied to the Columns section. Can you please share a pbix or some dummy data that keep the raw data structure with expected results? Indeed, it is excluding customers that have a Revenues value greater than 9, at the year level, without having any month over that same limit see customers , , and already highlighted in one of the previous examples. This is because the Revenues YTD measure considers the sum of previous months, even though Revenues may be lower than the threshold of 9,