![]() Usually this is not an issue if you just display the number formatted using a percentage with two decimal points. For example, instead of generating 0.81, you would see the number 0.810000000000001 in the result as shown below: This can result in numbers that are not accurate for your needs. The last function generates numbers using a floating-point value. Generating all the numbers between 0% and 100%: Generating all the even numbers between -10 and 10: Generating all the integer numbers between 0 and 100: Here are a few examples of GENERATESERIES. The data type of the result is an integer if the values are all integers, or a decimal number if one or more values require that level of precision. The third optional argument defines the increment applied when generating the numbers: it is 1 by default, but you can apply any other positive value including decimal numbers. The first two arguments define the first and last value of the table. The result is a table with a single column called Value. GENERATESERIES is one of the few functions in DAX that generates new data – most of the DAX functions only filter existing data. The DAX expression uses a new function called GENERATESERIES. Internally, this feature simply creates a calculated table using a DAX expression generating one row for each value that should be available in the slicer. The August 2017 update of Power BI introduced a new feature called the What if parameter, which allows the use of a slicer to push a parameter in a DAX measure.
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