![\"DAX](\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2025\/01\/dax-allselected.jpg\")
<\/a><\/div>\n<\/a> <\/a> <\/a><\/div>\nThis guide will help you get a good grasp of what the DAX ALLSELECTED function is, why the DAX ALLSELECTED function is important, the use of Power BI ALLSELECTED function, and how to use ALLSELECTED in Power BI.<\/p>\n
Table of Contents:<\/h3>\n\n- Understanding DAX ALLSELECTED Function<\/a><\/li>\n
- Why is the ALLSELECTED DAX Function Important?<\/a><\/li>\n
- What is the Use of the Power BI ALLSELECTED Function?<\/a><\/li>\n
- How to Use ALLSELECTED in DAX in Power BI to Evaluate Data?<\/a><\/li>\n
- How to Visualize Your Data Using Power BI?<\/a><\/li>\n
- What are the Benefits of Using the DAX ALLSELECTED Function?<\/a><\/li>\n
- Wrap Up<\/a><\/li>\n<\/ol>\n
First…<\/p>\n
Understanding DAX ALLSELECTED Function<\/h2>\n
The ALLSELECTED function in DAX returns all the values in a specified column or table. It ignores any filters that have been applied except for those that are specified explicitly using the REMOVEFILTERS or KEEPFILTERS functions.<\/p>\n
The ALLSELECTED function comes in handy when the user wants to retrieve all the values from a column or table, disregarding the applied filters, while considering filters that are important for the analysis.<\/p>\n
Here\u2019s a breakdown of the ALLSELECTED function:<\/p>\n
\n- ALLSELECTED([<table_or_column>])<\/li>\n<\/ul>\n
<table_or_column>: (Optional) Specifies the column or table from the Power BI data model<\/a> for which you want to retrieve all the values. If not specified, it returns all the values within the entire model context.<\/p>\nWhy is the ALLSELECTED DAX Function Important?<\/h2>\n
The ALLSELECTED DAX function helps analysts to retrieve all the values from a specified column (or table), regardless of the applied filters, except for those explicitly specified using DAX functions like KEEPFILTERS or REMOVEFILTERS.<\/p>\n
The function plays a major role in creating dynamic calculations that remain responsive to slicers in Power BI<\/a>, enabling user interactions while accounting for critical dimensions or filters in the\u00a0analysis.<\/p>\nFurthermore, the ALLSELECTED function plays a major role in maintaining context sensitivity within calculations. It ensures that calculations respond accurately to changes in selections and filters made by users, and also provides dynamic insights into the underlying data. This feature comes in handy in cases where the analysts have to perform comparative analyses between all values and selected values in a dataset while retaining context relevance.<\/p>\n
What is the Use of the Power BI ALLSELECTED Function?<\/h2>\n
The Power BI ALLSELECTED function helps analysts perform calculations while putting the current filter context in reports into consideration. It returns all the values from a specified column (or table), regardless of the applied filters except for those explicitly specified using DAX functions like KEEPFILTERS or REMOVEFILTERS.<\/p>\n
The ALLSELECTED function is vital in cases where analysts have to perform comparative analyses between all values and selected values in Power BI datasets<\/a>, ensuring a comprehensive view of the data.<\/p>\nIt gives room for the calculation of totals, averages, and other aggregations across all values. This way, the user will have a comprehensive view of data while maintaining context relevance. This feature boosts the depth and flexibility of data analysis in Power BI reports<\/a>, and also empowers analysts to draw deeper insights and make more informed decisions based on a comprehensive understanding of the underlying data.<\/p>\nHow to Use ALLSELECTED in DAX in Power BI to Evaluate Data?<\/h2>\n
Here’s a step-by-step guide to help you use the ALLSELECTED function in Power BI:<\/p>\n
Open Power BI Desktop:<\/h3>\n
Launch the Power BI Desktop and open the dataset (or report) where you want to evaluate data using the ALLSELECTED function.<\/p>\n
Create a New Measure or Calculated Column:<\/h3>\n
To create a new measure (or calculated column), you\u2019ll have to right-click on the datasets in the Fields pane and select \u201cNew Measure\u201d or \u201cNew Calculated Column,\u201d and that depends on where you want to apply the function.<\/p>\n
Enter the DAX Formula:<\/h3>\n
Navigate to the formula bar at the top of the screen, and using the ALLSELECTED function, enter your DAX formula. The syntax of the ALLSELECTED function is as shown below:<\/p>\n
\n- MeasureName = CALCULATE(<expression>, ALLSELECTED([Table\/Column]))<\/li>\n<\/ul>\n
Replace <expression> with the aggregation<\/a> or calculation you want to perform, and [Table\/Column] with the column or table you want to evaluate.<\/p>\nApply Additional Filters (Optional):<\/h3>\n
There are cases where you\u2019ll have to apply additional filters (or conditions) within the CALCULATE function in Power BI<\/a>. This will allow the user to further refine the evaluation of data based on specific criteria.<\/p>\nPress Enter:<\/h4>\n
After entering the DAX formula, press Enter to apply the formula and create the new measure (or calculated column).<\/p>\n
Use in Visualizations:<\/h3>\n
After creating the measure (or calculated column) with the ALLSELECTED function, you can proceed to use it in the data visualizations<\/a>. Drag the column (or measure) into the visualization to evaluate data based on the specified filters (or context).<\/p>\nAnalyze Results:<\/h4>\n
The ALLSELECTED function ascertains that the evaluation of data puts the current filter context into consideration, and it also provides dynamic insights into the underlying data.<\/p>\n
Example:<\/strong><\/p>\nEVALUATE<\/p>\n
CALCULATEABLE (<\/p>\n
ADDCOLUMNS (<\/p>\n
ALL ( \u2018Product\u2019[Category] ),<\/p>\n
\u201cSales Amount,\u201d [Sales Amount],<\/p>\n
\u201cSales Sel,\u201d<\/p>\n
CALCULATE (<\/p>\n
[Sales Amount],<\/p>\n
ALLSELECTED ( Product[Category] )<\/p>\n
)<\/p>\n
),<\/p>\n
Product[Category] IN { \u201cAudio,\u201d \u201cComputer\u201d }<\/p>\n
First…<\/p>\n
Understanding DAX ALLSELECTED Function<\/h2>\n
The ALLSELECTED function in DAX returns all the values in a specified column or table. It ignores any filters that have been applied except for those that are specified explicitly using the REMOVEFILTERS or KEEPFILTERS functions.<\/p>\n
The ALLSELECTED function comes in handy when the user wants to retrieve all the values from a column or table, disregarding the applied filters, while considering filters that are important for the analysis.<\/p>\n
Here\u2019s a breakdown of the ALLSELECTED function:<\/p>\n
- \n
- ALLSELECTED([<table_or_column>])<\/li>\n<\/ul>\n
<table_or_column>: (Optional) Specifies the column or table from the Power BI data model<\/a> for which you want to retrieve all the values. If not specified, it returns all the values within the entire model context.<\/p>\n
Why is the ALLSELECTED DAX Function Important?<\/h2>\n
The ALLSELECTED DAX function helps analysts to retrieve all the values from a specified column (or table), regardless of the applied filters, except for those explicitly specified using DAX functions like KEEPFILTERS or REMOVEFILTERS.<\/p>\n
The function plays a major role in creating dynamic calculations that remain responsive to slicers in Power BI<\/a>, enabling user interactions while accounting for critical dimensions or filters in the\u00a0analysis.<\/p>\n
Furthermore, the ALLSELECTED function plays a major role in maintaining context sensitivity within calculations. It ensures that calculations respond accurately to changes in selections and filters made by users, and also provides dynamic insights into the underlying data. This feature comes in handy in cases where the analysts have to perform comparative analyses between all values and selected values in a dataset while retaining context relevance.<\/p>\n
What is the Use of the Power BI ALLSELECTED Function?<\/h2>\n
The Power BI ALLSELECTED function helps analysts perform calculations while putting the current filter context in reports into consideration. It returns all the values from a specified column (or table), regardless of the applied filters except for those explicitly specified using DAX functions like KEEPFILTERS or REMOVEFILTERS.<\/p>\n
The ALLSELECTED function is vital in cases where analysts have to perform comparative analyses between all values and selected values in Power BI datasets<\/a>, ensuring a comprehensive view of the data.<\/p>\n
It gives room for the calculation of totals, averages, and other aggregations across all values. This way, the user will have a comprehensive view of data while maintaining context relevance. This feature boosts the depth and flexibility of data analysis in Power BI reports<\/a>, and also empowers analysts to draw deeper insights and make more informed decisions based on a comprehensive understanding of the underlying data.<\/p>\n
How to Use ALLSELECTED in DAX in Power BI to Evaluate Data?<\/h2>\n
Here’s a step-by-step guide to help you use the ALLSELECTED function in Power BI:<\/p>\n
Open Power BI Desktop:<\/h3>\n
Launch the Power BI Desktop and open the dataset (or report) where you want to evaluate data using the ALLSELECTED function.<\/p>\n
Create a New Measure or Calculated Column:<\/h3>\n
To create a new measure (or calculated column), you\u2019ll have to right-click on the datasets in the Fields pane and select \u201cNew Measure\u201d or \u201cNew Calculated Column,\u201d and that depends on where you want to apply the function.<\/p>\n
Enter the DAX Formula:<\/h3>\n
Navigate to the formula bar at the top of the screen, and using the ALLSELECTED function, enter your DAX formula. The syntax of the ALLSELECTED function is as shown below:<\/p>\n
- \n
- MeasureName = CALCULATE(<expression>, ALLSELECTED([Table\/Column]))<\/li>\n<\/ul>\n
Replace <expression> with the aggregation<\/a> or calculation you want to perform, and [Table\/Column] with the column or table you want to evaluate.<\/p>\n
Apply Additional Filters (Optional):<\/h3>\n
There are cases where you\u2019ll have to apply additional filters (or conditions) within the CALCULATE function in Power BI<\/a>. This will allow the user to further refine the evaluation of data based on specific criteria.<\/p>\n
Press Enter:<\/h4>\n
After entering the DAX formula, press Enter to apply the formula and create the new measure (or calculated column).<\/p>\n
Use in Visualizations:<\/h3>\n
After creating the measure (or calculated column) with the ALLSELECTED function, you can proceed to use it in the data visualizations<\/a>. Drag the column (or measure) into the visualization to evaluate data based on the specified filters (or context).<\/p>\n
Analyze Results:<\/h4>\n
The ALLSELECTED function ascertains that the evaluation of data puts the current filter context into consideration, and it also provides dynamic insights into the underlying data.<\/p>\n
Example:<\/strong><\/p>\n
EVALUATE<\/p>\n
CALCULATEABLE (<\/p>\n
ADDCOLUMNS (<\/p>\n
ALL ( \u2018Product\u2019[Category] ),<\/p>\n
\u201cSales Amount,\u201d [Sales Amount],<\/p>\n
\u201cSales Sel,\u201d<\/p>\n
CALCULATE (<\/p>\n
[Sales Amount],<\/p>\n
ALLSELECTED ( Product[Category] )<\/p>\n
)<\/p>\n
),<\/p>\n
Product[Category] IN { \u201cAudio,\u201d \u201cComputer\u201d }<\/p>\n
- MeasureName = CALCULATE(<expression>, ALLSELECTED([Table\/Column]))<\/li>\n<\/ul>\n