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• Distinct Values in DAX. The differences and similarities | by Rod Castor | Towards Data Science 500 Apologies, but something went wrong on our end. Refresh the page, check Medium 's site status, or find something interesting to read.
• 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.
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• Jumping back to the main column , the tie breaking code could look like this. Rank all rows as Column = RANKX ( 'Table', 'Table' [My Value ] + (INT ('Table' [Date]) / 100000) ) This produces a unique ranking for each row of the table, based on the My Value column that uses the Date column > to split ties.
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• Dec 22, 2014 · I'd have the DISTINCTCOUNT as a separate measure and do this with two measures: Measure1 = DISTINCTCOUNT (TableName [Site]) Measure2 = CALCULATE ( [Measure1], ALL (TableName)) The two measure approach lets you use the same DISTINCTCOUNT-measure in other calculations as well and it makes the second measure easier to read & adjust when needed.
• The iterator functions are handy and operate on table expressions, so try SUMX. TotalDistinctAcreage = SUMX (DISTINCT (Table1 [Acres]), [Acres]) This will generate a table that is one column containing only the distinct values for Acres, and then add them up. Note that this is only looking at the Acres column, so if different fields and ...
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• Jan 04, 2011 · Your calculated column solution is the best from a query performance point of view. If you don't want to add a calculated column, you can use this: =CALCULATE ( COUNTROWS (DISTINCT (Products [ProductCode])), FILTER (Products, CALCULATE (COUNTROWS (Sales)) > 0) )