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  1. Rasgo Graveyard
  2. All Transforms

Conditional Agg

Pass in a list of filter rules, and aggregate rows that match.

If multiple rules are passed, they are combined and aggregated both together and separately.

Parameters

Name
Type
Description
Is Optional

rules

value_list

List of filter rules to use

agg_column

column

Column to aggregate

agg

agg

Method to use when aggregating the agg_column

distinct

boolean

When aggregating the agg_column, use TRUE to qualify with a DISTINCT

Example

customer = rasgo.get.dataset(55)

rules = [
  "FIRSTNAME LIKE 'J%'",
  "BIRTHDATE < '1970-01-01'",
  "ENGLISHEDUCATION = 'Bachelors'",
  "MARITALSTATUS = 'M'",
  "GENDER='F'"]

ds2 = customer.conditional_agg(rules=rules,
                              agg_column='CUSTOMERKEY',
                              agg='COUNT',
                              distinct=True)
ds2.preview()

Source Code

PreviousCleanNextCorrelation

Last updated 3 years ago

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