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Change the aggregation setting for a column


Explains what the feature is or what its benefits are to the user or customer.


All types of aggregations can be performed on MEASURE columns, and some aggregations can be done on ATTRIBUTE columns. You can change the default aggregation type to make combining data more intuitive and faster.

To aggregate a column without having to enter the aggregation type explicitly in your searches every time, you can set a default Aggregation for that column. Note that any non-numeric columns (columns of type ATTRIBUTE) will have a default aggregate type of NONE, which you can change to one of the supported aggregation types.

Table 1. Supported aggregate types
Aggregate type Description
NONE Does no aggregation. This is the default for ATTRIBUTE type columns.
SUM Adds the values together and returns the total. This is the default for MEASURE type columns.
AVERAGE Calculates the average of all the values.
MIN Calculates the minimum value.
MAX Calculates the maximum value.
STD_DEVIATION Calculates the standard deviation of all the values.
VARIANCE Calculates the variance of all the values.
COUNT Calculates the total number of values.
COUNT_DISTINCT Calculates the total number of distinct values.
  1. Find the column whose default aggregation type you want to change, and select its Aggregation.
    If using the modeling file, use the AggregationType setting.
  2. Select the new default aggregation type.
  3. Save your changes.

Supposed there is a table containing data about athletes on a sports team. The data contains some numerical values, including points scored, salaries, and jersey numbers for each of the players. Because jersey number is an INTEGER, it would become a column of type MEASURE (not ATTRIBUTE). So it will aggregate, by default. But you may want to make its aggregation type NONE instead. This ensures that search results that include jersey number will not attempt to compare or aggregate those values in a way that is not meaningful.

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