Statistic Of Numeric

Find The: Statistic Of Numeric

statistic_of_numeric

Calculates many different statistics on an attribute that has a numeric data type. Particularly useful for analysing the behaviour of a user when applied to time or value.

For example:

Average profiling.duration to determine the average time a user spends on a page.
Sum of purchase.amount to determine the total amount a user or device has spent within a time window.

Configuration

Feature Name: The "dictionary" name under which the feature value will be stored and referenced by in rules.
Numeric Attribute: The attribute to calculate the statistics of. It must be a numeric Identifier or Subject, with a Real or Integer data type. A plain attribute is rejected at build time.
For Events:
- With The Same: Provides a way of filtering past events based on the attribute values. There must be at least one Identifier and only Identifier and Subject attributes can be used.
Into Features: Statistic Of Numeric can calculate multiple statistics from a single configuration and output them to the Feature Names given. Fill in the Feature Name for each statistic required and leave the rest blank. Every statistic you want needs its own Feature Name.

Optional Configuration

Default Value: A value that can be assigned to the feature if the attributes to calculate the features are not present.
Scope: Can be used to extend the event search from the local node, to all nodes within the same organization all the way to all across customers (global).
For Events:
- All event types: Default, no filter
- Same as current: Filter by event_type of event being processed
- Specific event type: List out the event_type to restrict to, as a list. Example: only consider account_login_success.
Condition: A Query-Language filter that can be used to refine Features for specific use cases.
Time Window: Can be used to limit the Feature calculation to a specific time period/window. e.g 1 week. Default is all ; no time window
Starting: Can be used to remove recent events from Feature calculation. Default is immediately ; no lag.

Use Case 1

Calculate the minimum, maximum, average and standard deviation of the time an account spends on a page over the last 7 days.

Implementing In The Feature Editor

  - name: avg_profile_time_wk
    default_value: 0
    time_window:
      days: 7
    starting: immediately
    find_the:
      statistic_of_numeric:
        attribute: profiling.duration
        for_events:
          event_type: all
          include_current_event: false
          with_the_same:
            - identity['ACCOUNT'].customer_token.customer_token
        into_features:
          minimum: min_profile_duration_token_wk
          maximum: max_profile_duration_token_wk
          average: avg_profile_duration_token_wk
          standard_deviation: sd_profile_duration_token_wk
    with_scope: same_node_instance