DISTINCT column
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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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What is the DISTINCT Function in Power BI DAX?
The DISTINCT function in Power BI DAX is used to remove duplicates from a column or set of columns in your data. This function returns a new table with unique values based on the specified columns.
Here’s the basic syntax of the DISTINCT function:
– `❰table❱`: the name of the table you want to apply the DISTINCT function to.
– `❰column❱`: the name of the column or set of columns you want to remove duplicates from.
Example of Using DISTINCT Function
Suppose you have a table called Sales that contains sales data for your company. The table has a column called Region, which contains the names of the regions where your company operates. However, this column contains duplicates, as some regions appear more than once in the table.
To remove duplicates from this column using the DISTINCT function, you can use the following DAX formula:
This formula creates a new table called Sales_Region, which contains unique values from the Region column in the Sales table.
Benefits of Using DISTINCT Function
There are several benefits to using the DISTINCT function in Power BI:
1. Clean and Accurate Data
Removing duplicates from your data using the DISTINCT function ensures that your data is clean and accurate. This is important for data analysis, as duplicates can skew your results and lead to incorrect conclusions.
2. Improved Performance
Removing duplicates from your data can also improve the performance of your Power BI reports. By reducing the amount of data that needs to be processed, your reports will run faster and more efficiently.
3. Easier Data Exploration
With duplicates removed from your data, it's easier to explore and analyze your data. You can quickly identify unique values and patterns in your data without being distracted by duplicates.
The DISTINCT function in Power BI DAX is a powerful tool that can help you clean and analyze your data. By removing duplicates from your data, you can ensure that your data is accurate, improve the performance of your reports, and make it easier to explore and analyze your data. We hope this article has provided you with a better understanding of how to use the DISTINCT function in Power BI.
