How do aggregation rules apply?

Aggregation rules apply when you want to find out the average value of a data element across a dimension or dimensions. You can apply aggregation rules to different types of measures, like frequency measures and interval measures.

Here is an example. You want to find out how many people have a high income (which is a frequency measure) and their ages (an interval measure). First, calculate the average income for all people in the database. Then, take the number of people with incomes erc aggregation rules greater than or equal to $50,000 and divide this number by the total number of people with income data in the database. For more information, you may want to review the Data Integration section of this article.

In a nutshell, aggregation rules work differently depending on the kind of data element you want to aggregate. For example, you can’t apply aggregation rules to dates or numbers, because these data elements aren’t measures in the same sense that frequency measures and interval measures are measures.

For example, say you have a data set that contains people’s names and birthdates. You would probably want to find out the average age of people in the database. In order to do that, you need to create a measure that represents the date that people were born.

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