A Deep Dive into ALL, ALLEXCEPT, and ALLSELECTED Functions

 

In this blog post, we'll unravel the mysteries behind three powerful DAX functions - ALL, ALLEXCEPT, and ALLSELECTED. Understanding these functions is crucial for precise control over your data analysis. Let's explore each one with clear examples to solidify your comprehension.

1. ALL Function:

The ALL function in DAX is a versatile tool that removes all filters from a table or a column, allowing for a context-independent calculation.

So to understand it in more detail. We have created a simple Revenue Measure.

 

Suppose you want to calculate the total revenue for all states, disregarding any existing filters. You can use the ALL function as follows:

Revenue for New York single = CALCULATE([Revenue Measure],ALL()) and the result is something like this in the table

Here, Total Revenue Without Filter provides the total sum across all states, irrespective of any filters applied to the table.

The ALLEXCEPT function is similar to ALL but allows you to retain filters on specific columns while removing filters from all other columns. This is particularly useful when you want to maintain context for certain dimensions while disregarding others.

Example:

Consider a scenario where you want to calculate the total Revenue for all products but still consider filters on the 'State' column:

all except example = CALCULATE([Revenue Measure],ALLEXCEPT(location,location[state]))

In this example, all except example gives you the total Revenue across all products, retaining filters on the 'state' column.

Now if we remove state from the table and put some other column i.e. city then it will not filter the values but gives the sum of the all products.

3. ALLSELECTED Function:

The ALLSELECTED function is designed to work with visualizations and allows you to remove filters only from columns that are not in the visualization. It is particularly useful when working with interactive reports.

Example:

Suppose you have a report with a table showing sales by product and a slicer for the 'city' column. You want to calculate the total sales for all products, considering only the 'city' filter:

all selected example = CALCULATE([Revenue Measure],ALLSELECTED(products[product]))

In this example, all selected example considers all products but takes into account only the 'city' filter applied through the slicer.

Conclusion:

Mastering DAX functions like ALL, ALLEXCEPT, and ALLSELECTED provides you with unparalleled control over your data analysis. Whether you're working on overall trends, specific dimensions, or interactive reports, these functions empower you to make precise and insightful calculations. As you continue your journey as a content creator, integrating these skills into your analytics toolkit will undoubtedly elevate the quality of your data-driven content. Happy analyzing!

Top of Form

Understanding the nuances of ALL and ALLEXCEPT allows you to precisely control the filter context in your DAX calculations, providing flexibility and accuracy in your analyses.

For More Detailed Understanding watch this Video