SUMX
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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
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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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The syntax for the SUMX function is as follows:
SUMX( table, expression )
Where:
* `table` is the table or tables over which the expression is to be evaluated.
* `expression` is the expression to be evaluated for each row in the table or group of tables.
Example Usage
Let's say we have a table called "Sales" that contains the following fields: "Date", "Product", "Quantity", and "Price". We want to calculate the total sales amount for each product. We can use the SUMX function to accomplish this as follows:
Total Sales = SUMX( Sales, Sales[Quantity] * Sales[Price] )
In this example, we are multiplying the Quantity and Price columns for each row in the Sales table, and then summing up the results to get the total sales amount for each product.
Advantages of Using SUMX
The SUMX function has several advantages over other DAX functions, such as SUM and SUMIF. Here are some advantages of using SUMX:
1. Flexibility
SUMX is a very flexible function that allows you to calculate the sum of any expression for each row in a table or a group of tables. This makes it very useful for complex calculations that cannot be easily accomplished with other DAX functions.
2. Dynamic Aggregation
SUMX allows you to perform dynamic aggregation of data. This means that you can aggregate data based on multiple columns or criteria, and the aggregation will be updated automatically as the data changes.
3. Improved Performance
In some cases, using SUMX can improve the performance of your Power BI report. This is because it can reduce the number of calculations that need to be performed, especially if you are working with large datasets.
Tips for Using SUMX
Here are some tips for using the SUMX function effectively in your Power BI reports:
1. Use Filters
To get more accurate results with SUMX, it is important to use filters to limit the data that is being evaluated. This can help to improve performance and reduce the risk of errors.
2. Avoid Nested SUMX Functions
Avoid using nested SUMX functions, as this can lead to poor performance and reduce the speed of your report.
3. Use Variables
Using variables can help to simplify complex expressions that involve the SUMX function. This can make your formulas easier to read and understand, and also improve performance.
The SUMX function is a powerful DAX function that can be used to calculate the sum of an expression for each row in a table or a group of tables. It offers several advantages over other DAX functions, such as flexibility, dynamic aggregation, and improved performance. By following the tips outlined in this article, you can use the SUMX function effectively in your Power BI reports and create more accurate and efficient calculations.
