GROUPBY
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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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N
O
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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 GROUPBY function?
The GROUPBY function is used to group rows of data based on one or more columns in a table. It is similar to the SQL GROUP BY clause. The GROUPBY function returns a table that contains a summary of data based on the grouping of columns specified in the formula.
Syntax
The syntax for the GROUPBY function is as follows:
GROUPBY(❰table❱, ❰group_column1❱[, ❰group_column2❱, …][, ❰expression1❱[, ❰expression2❱, …]])
Parameters
- **table:** This is the table that you want to group.
- **group_column1:** This is the column that you want to group by.
- **group_column2:** (optional) This is an additional column that you want to group by.
- **expression1:** (optional) This is the expression that you want to evaluate for each group.
- **expression2:** (optional) This is an additional expression that you want to evaluate for each group.
Example
Let's say we have a table named "Sales" that contains the following columns:
- Product
- Region
- Sales
We can use the GROUPBY function to group the data by region and calculate the total sales for each region. The formula for this would be:
Grouped Sales = GROUPBY(Sales, Sales[Region], “Total Sales”, SUMX(CURRENTGROUP(), Sales[Sales]))
In the above formula, we are grouping the "Sales" table by the "Region" column and evaluating the "Total Sales" expression for each group. The "Total Sales" expression uses the SUMX function to calculate the sum of sales for each region.
Benefits of using GROUPBY function
The GROUPBY function can be used for various purposes. Here are some benefits of using the GROUPBY function:
1. Simplify data analysis
The GROUPBY function can help simplify data analysis by grouping data according to specific criteria. It can help in identifying patterns and trends in the data that may not be apparent otherwise.
2. Aggregate data
The GROUPBY function can be used to aggregate data in different ways. For example, you can group data by month and calculate the average sales per month.
3. Combine data
The GROUPBY function can be used to combine data from different sources. For example, you can group data from two different tables by a common column.
4. Reduce data volume
The GROUPBY function can help in reducing data volume by grouping data at a higher level. This can make it easier to analyze large datasets.
In this article, we have discussed the Power BI DAX function GROUPBY and how it can be used to manipulate data. The GROUPBY function is a powerful tool that can help simplify data analysis, aggregate data, combine data, and reduce data volume. It is an essential function for any Power BI user, and its proper utilization can lead to more accurate and in-depth analysis of data.
