Data items are the
building blocks that your end users use to build reports. You can
create two types of data items:
-
Measure data items are data
items whose values are aggregated by default and which can be used
in computations or analytical expressions. For example, if you want
a data item to calculate salary totals, you would create a measure
data item from a salary column in your data source. Typically, the
values for measure data items are numeric.
-
Category data items are data items whose distinct values are used to aggregate the values
of measure data items. For example, if you want to aggregate your
salary data by geographical location, you would create a category
data item from a column that contains geographical region names.
For this
scenario, you create both measure and category data items. Some of
the data items are created directly from the columns that they reference,
and others are based on expressions that you create.