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Dax distinct count group by

2 I have got this following SQL query that gives me the correct value from the database. SELECT SUM ( DISTINCT_ORDER_NUMBERS ) FROM ( SELECT STORE_KEY, COUNT ( DISTINCT TRANSACTION_NUM ) AS DISTINCT_ORDER_NUMBERS, DATE_KEY, TRANSACTION_TYPE_KEY FROM Pos_Data GROUP BY STORE_KEY, DATE_KEY, TRANSACTION_TYPE_KEY ) AS A.

COUNTROWS ( GROUPBY ( 'Fact Table', 'Office'[Office Name] ) ) This DAX measure gives me the same result, this time I am using the GROUPBY to use the fact table “Fact Table” and to then use the relationship to count the rows for the number of Office Name. As you can see this took 62ms instead of 1,750ms which is roughly 28 times faster.

DISTINCTCOUNT function includes the BLANK value. When the function finds no rows to count, it returns a BLANK, otherwise it returns the count of distinct values. Step 1: Now.

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Then use the Group By on the newly created reference table; Since the Discount Count by a column is not a default aggregation option, you can just select Discount Count Rows; And then edit the formula, and change the bit below: = Table.Group(Source, {'CustomerKey'}, {{'Count of Orders', each Table.RowCount(Table.Distinct(_)), type number.

Any DAX expression that returns a table of data. 2: groupBy_columnName (Optional) A column to group by. 3: name: A column name to be added, enclosed in double quotes. 4:.

Pivot Table. Distinct Count. Select a cell in the Count of Customer column. Click Field Settings. At first, the Summarize Values By looks like the same Sum, Average, and Count that you've always had. But scroll down to the bottom. Because the pivot table is based on the Data Model, you now have Distinct Count.

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