Dax calculate

Hey all, Can someone please explain to me why the Sumx measure in dax calculate model is not right. As you can see in my example I tried setting up measures to help sum by shipping type inbound, dax calculate, outbound, stat.

Working with a Pivot Table, we know that each row or column in a Pivot Table report act as a filter for the entire data set. If we have a table of daily sales and we create a Pivot Table report showing total sales by month, the Pivot Table will take each month in the report and apply it as a filter to the entire dataset. The result of each filter is a reduced version of the whole. These remaining rows in the table are then aggregated in this example, summed to produce a single value result, i. Think of it as refining the original Pivot Table or replacing certain aspects of the original Pivot Table with different aspects to tell the story a different way.

Dax calculate

Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. It performs exactly the same functionality, except it modifies the filter context applied to an expression that returns a table object. There are several rules that they must abide by:. A table expression filter applies a table object as a filter. It could be a reference to a model table, but more likely it's a function that returns a table object. You can use the FILTER function to apply complex filter conditions, including those that cannot be defined by a Boolean filter expression. Filter modifier functions allow you to do more than simply add filters. They provide you with additional control when modifying filter context. It transitions row context to filter context. It's required when an expression not a model measure that summarizes model data needs to be evaluated in row context. This scenario can happen in a calculated column formula or when an expression in an iterator function is evaluated. Note that when a model measure is used in row context, context transition is automatic. This function is not supported for use in DirectQuery mode when used in calculated columns or row-level security RLS rules. The following Sales table measure definition produces a revenue result, but only for products that have the color blue.

So at the back-end, Power BI engine by default evaluates the measure and converts it into like this. Fast Track to Power BI.

Here we introduce its base behaviors, with a solid theoretical foundation. Last note before we start: it is impossible to properly understand the details of CALCULATE without a proper understanding of the row context , the filter context and the context transition. If you are not familiar with these concepts, we suggest that you read these articles and gain some practice, then come back to this article. For example, the following measure computes the sales amount of Red products:. When used in a matrix, the filter over Product[Color] is added to the already-existing filter placed by the matrix itself on the Product[Brand] column. In the first column, when Product[Brand] is in the filter context filtering Contoso, the Sales Amount measure computes the sales amount for Contoso products.

Here we introduce its base behaviors, with a solid theoretical foundation. Last note before we start: it is impossible to properly understand the details of CALCULATE without a proper understanding of the row context , the filter context and the context transition. If you are not familiar with these concepts, we suggest that you read these articles and gain some practice, then come back to this article. For example, the following measure computes the sales amount of Red products:. When used in a matrix, the filter over Product[Color] is added to the already-existing filter placed by the matrix itself on the Product[Brand] column. In the first column, when Product[Brand] is in the filter context filtering Contoso, the Sales Amount measure computes the sales amount for Contoso products.

Dax calculate

Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. The DAX function reference provides detailed information including syntax, parameters, return values, and examples for each of the over functions used in Data Analysis Expression DAX formulas. New DAX functions - These functions are new or are existing functions that have been significantly updated. Aggregation functions - These functions calculate a scalar value such as count, sum, average, minimum, or maximum for all rows in a column or table as defined by the expression.

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The expression to be evaluated. Next, we filter the [Quantity] column to only include entries that are greater than Out of all the blue products, it retrieves the ones that happen to be red. Working with a Pivot Table, we know that each row or column in a Pivot Table report act as a filter for the entire data set. Filter modifier functions allow you to do more than simply add filters. If the outer filter context contains a filter for blue products for example, then FILTER iterates over only the blue products. Calculate can overwrite all existing filters or supplement the existing filters with other filters. This is evident if instead of slicing by Brand , we slice by Color in the matrix. In the first column, when Product[Brand] is in the filter context filtering Contoso, the Sales Amount measure computes the sales amount for Contoso products. I would sincerely recommend you to please go through that thread for more better and in-depth understanding. Not recommended The use of this parameter is not recommended. This course gets you started in Power BI — Fast! The most important functions in DAX are […] » Read more.

When a filter argument has the form of a predicate with a single column reference, the expression is embedded into a FILTER expression that filters all the values of the referenced column. For example, the predicate shown in the first expression is internally converted in the second expression. This is important in order to avoid unexpected results with complex calculations made in filter arguments.

To get the model, see DAX sample model. Filter modifier functions allow you to do more than simply add filters. View all page feedback. Context transition is a complex topic in itself, therefore we dedicated a full article to the context transition and the correct way to use it. This article describes how table expansion and filter context propagation are important DAX concepts to understand and fix small glitches in DAX expressions. There is no room to cover all these functions in this introductory article, but it seemed useful to enumerate the modifiers as a reference. The filter replacement happens only when the same column is present in both the outer and the inner filter. Calculate can overwrite all existing filters or supplement the existing filters with other filters. If you are not familiar with these concepts, we suggest that you read these articles and gain some practice, then come back to this article. This article describes the options available to create complex filters in DAX. The previous code can be written in the following, equivalent way:. You can use the FILTER function to apply complex filter conditions, including those that cannot be defined by a Boolean filter expression. It is hard!