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Statistic Of Numeric

  • Published on Jun 7, 2024
  • 1 minute(s) read
  • CG
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The Statistic of Numeric Feature provides the ability to calculate many different statistics on attributes that have a numeric data type. They are particularly useful for analyzing behaviour of a user when applied to time or value.

For Example:

  • Average profile.duration can be used to determine the average time a user spends on a page
  • Sum of purchase.amount can be used to determine the total amount a user or device has spent within a specific time window

Configuration

  • Feature Name
    The "dictionary" name under which the feature value will be stored.

  • Numeric Attribute

    • The attribute to calculate the quantile of. Only attributes that have a Real or Integer data type can be used.

  • Into Features

    • Time Between can calculate multiple statistics from a single configuration and output them to the Feature Names given. Simply fill in the Feature Name for the required statistics, any that are not required can be left blank.
Note
  • There are multiple Feature Names generated, a Feature Name must be given to each of the required statistics.
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
    Provides a way of filtering past events based on their type.
  • 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.
  • Starting ...
    Can be used to remove recent events from Feature calculation.

Use Case 1

Implementing In The Feature Editor

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  - 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