Market Basket

Analyze historical transaction contents to understand products that are frequently purchased together.

This approach uses a transactional table to aggregate each product purchased in a transaction, and then aggregates transactions together to look for common patterns.

Parameters

Name	Type	Description	Is Optional
transaction_id	column	Column identifying a unique event ID (i.e., transaction) for which to aggregate line items
sep	value	Text separator to use when aggregating the strings, i.e. ', ' or '|'.
agg_column	column	Product ID or description to use when aggregating into transactions

Example

sales = rasgo.get.dataset(id)

ds2 = sales.market_basket(transaction_id='SALESORDERNUMBER',
                agg_column='ENGLISHPRODUCTNAME',
                sep='|')
ds2.preview()

Source Code

RasgoTransforms/market_basket.sql at main · rasgointelligence/RasgoTransformsGitHub