ALLEXCEPT
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- CALCULATE
- CALCULATETABLE
- CALENDAR
- CALENDARAUTO
- CEILING
- CHISQ.DIST
- CHISQ.DIST.RT
- CHISQ.INV
- CHISQ.INV.RT
- CLOSINGBALANCEMONTH
- CLOSINGBALANCEQUARTER
- CLOSINGBALANCEYEAR
- COALESCE
- COLUMNSTATISTICS
- COMBIN
- COMBINA
- COMBINEVALUES
- CONCATENATE
- CONCATENATEX
- CONFIDENCE.NORM
- CONFIDENCE.T
- CONTAINS
- CONTAINSROW
- CONTAINSSTRING
- CONTAINSSTRINGEXACT
- CONVERT
- COS
- COSH
- COT
- COTH
- COUNT
- COUNTA
- COUNTAX
- COUNTBLANK
- COUNTROWS
- COUNTX
- COUPDAYBS
- COUPDAYS
- COUPDAYSNC
- COUPNCD
- COUPNUM
- COUPPCD
- CROSSFILTER
- CROSSJOIN
- CUMIPMT
- CUMPRINC
- CURRENCY
- CURRENTGROUP
- CUSTOMDATA
D
E
I
N
O
P
R
S
- SAMEPERIODLASTYEAR
- SAMPLE
- SEARCH
- SECOND
- SELECTCOLUMNS
- SELECTEDMEASURE
- SELECTEDMEASUREFORMATSTRING
- SELECTEDMEASURENAME
- SELECTEDVALUE
- SIGN
- SIN
- SINH
- SLN
- SQRT
- SQRTPI
- STARTOFMONTH
- STARTOFQUARTER
- STARTOFYEAR
- STDEVX.P
- STDEVX.S
- STDEV.P
- STDEV.S
- SUBSTITUTE
- SUBSTITUTEWITHINDEX
- SUM
- SUMMARIZE
- SUMMARIZECOLUMNS
- SUMX
- SWITCH
- SYD
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Understanding ALLEXCEPT
ALLEXCEPT is a DAX function that removes filters from a table or column while retaining filters on other columns. This function takes two arguments: the first is the name of the table or column that you want to remove filters from, and the second is a list of column names that you want to retain filters on.
The syntax for the ALLEXCEPT function is:
ALLEXCEPT(❰TableName/ColumnName❱, ❰ColumnName1❱, ❰ColumnName2❱, ...)
Here, ❰TableName/ColumnName❱ is the name of the table or column that you want to remove filters from, and ❰ColumnName1❱, ❰ColumnName2❱, etc. are the names of the columns that you want to retain filters on.
Using ALLEXCEPT to Analyze Data
Let’s take an example to understand how to use the ALLEXCEPT function. Suppose you have a dataset that contains sales data for a company. The dataset has three columns: Date, Product, and Sales. You want to analyze the sales data for a specific product, but you also want to ignore the filters applied to the Date column.
To achieve this, you can use the ALLEXCEPT function in the following way:
CALCULATE(SUM(Sales), ALLEXCEPT('Sales Data', Product))
Here, the CALCULATE function is used to calculate the sum of sales data. The ALLEXCEPT function is used to remove filters from the Date column while retaining filters on the Product column.
You can also use the ALLEXCEPT function with multiple columns. For example, if you want to remove filters from both the Date and Product columns but retain filters on another column, you can use the following syntax:
CALCULATE(SUM(Sales), ALLEXCEPT('Sales Data', Product, Region))
Here, the ALLEXCEPT function removes filters from both the Date and Product columns while retaining filters on the Region column.
Benefits of Using ALLEXCEPT
The ALLEXCEPT function offers several benefits when working with large datasets that contain multiple columns. Some of the benefits include:
Improved Data Analysis
By using the ALLEXCEPT function, you can remove filters from a table or column while still retaining selected filters from other columns. This makes it easier to analyze data based on specific criteria, without being affected by other filters.
Time-Saving
When working with large datasets, it can be time-consuming to manually remove filters from each column. By using the ALLEXCEPT function, you can quickly remove filters from the necessary columns in one go, saving you time and effort.
Improved Data Accuracy
The ALLEXCEPT function helps to improve data accuracy by ensuring that selected filters are retained while removing filters from other columns. This ensures that your analysis is based on accurate and relevant data.
The ALLEXCEPT function is a powerful DAX function that can be used to remove filters from a table or column while retaining filters on other columns. This function is particularly useful when you want to analyze data based on specific criteria while ignoring filter selections made in other columns. By using ALLEXCEPT, you can improve data accuracy, save time, and enhance your data analysis capabilities.
