Aggregation

A reference to the data array in the parent trace to aggregate.

To aggregate by nested variables, use . to access them. For example, set groups to marker.color to aggregate over the marker color array. The referenced array must already exist, unless func is count, and each array may only be referenced once.

Sets the aggregation function.

All values from the linked target, corresponding to the same value in the groups array, are collected and reduced by this function. count is simply the number of values in the groups array, so does not even require the linked array to exist. first (last) is just the first (last) linked value. Invalid values are ignored, so for example in avg they do not contribute to either the numerator or the denominator. Any data type (numeric, date, category) may be aggregated with any function, even though in certain cases it is unlikely to make sense, for example a sum of dates or average of categories. median will return the average of the two central values if there is an even count. mode will return the first value to reach the maximum count, in case of a tie. change will return the difference between the first and last linked values. range will return the difference between the min and max linked values.

Sets the aggregation function.

All values from the linked target, corresponding to the same value in the groups array, are collected and reduced by this function. count is simply the number of values in the groups array, so does not even require the linked array to exist. first (last) is just the first (last) linked value. Invalid values are ignored, so for example in avg they do not contribute to either the numerator or the denominator. Any data type (numeric, date, category) may be aggregated with any function, even though in certain cases it is unlikely to make sense, for example a sum of dates or average of categories. median will return the average of the two central values if there is an even count. mode will return the first value to reach the maximum count, in case of a tie. change will return the difference between the first and last linked values. range will return the difference between the min and max linked values.

stddev supports two formula variants: sample (normalize by N-1) and population (normalize by N).

stddev supports two formula variants: sample (normalize by N-1) and population (normalize by N).

Determines whether this aggregation function is enabled or disabled.

Creates Aggregation object with specified properties.