STDEVX.P
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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
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- 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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In this article, we will go over the basics of STDEVX.P and how you can use it in your Power BI reports.
What is STDEVX.P?
STDEVX.P is a DAX function that calculates the standard deviation of a set of values. This function is a variation of the STDEV.P function, which calculates the standard deviation of a population.
The STDEVX.P function takes two arguments: the first argument is the column or expression containing the values that you want to calculate the standard deviation for, and the second argument is the column or expression containing the values that you want to group by.
How to Use STDEVX.P in Power BI
Let’s say that you have a dataset that contains sales information for different products, and you want to calculate the standard deviation of the sales for each product category.
To do this, you would use the STDEVX.P function in a measure. Here’s an example of the measure:
Sales Standard Deviation = STDEVX.P(Sales[Sales Amount], Sales[Product Category])
In this measure, we are using the Sales Amount column as the first argument, which contains the values that we want to calculate the standard deviation for. We are using the Product Category column as the second argument, which contains the values that we want to group by.
Once you have created this measure, you can add it to your report and use it to visualize the standard deviation of sales for each product category.
Additional Tips for Using STDEVX.P
Here are some additional tips that can help you when working with the STDEVX.P function:
- The STDEVX.P function ignores any blank or null values in the column that you're calculating the standard deviation for.
- You can use the STDEVX.P function with other DAX functions, such as SUMX or AVERAGEX, to create more complex measures.
- You can also use the STDEVX.P function with filters to calculate the standard deviation for specific subsets of your data. For example, you could calculate the standard deviation of sales for a specific region or time period.
STDEVX.P is a powerful DAX function that can help you calculate the standard deviation of a set of values in Power BI. By using this function in your measures, you can gain valuable insights into your data and make more informed decisions. We hope that this article has helped you understand how to use the STDEVX.P function in your Power BI reports.
