SYSTEMS AND METHODS FOR GENERATING INTERRELATED NOTIONAL DATA

    公开(公告)号:US20240070141A1

    公开(公告)日:2024-02-29

    申请号:US18239471

    申请日:2023-08-29

    CPC classification number: G06F16/2365 G06F16/213 G06F21/60

    Abstract: Disclosed herein are systems and methods for generating notional data. The method includes: receiving seed data of one or more object types in a base dataframe; defining one or more functional relationships associated with the one or more object types, at least one functional relationship of the one or more functional relationships specifying a change to seed data of one object type of the one or more object types; generating data of the one or more object types based at least in part on the seed data in the base dataframe and the one or more functional relationships; and generating the notional data based at least in part on the generated data of the one or more object types.

    Systems and methods for generating interrelated notional data

    公开(公告)号:US12235829B2

    公开(公告)日:2025-02-25

    申请号:US18239471

    申请日:2023-08-29

    Abstract: Disclosed herein are systems and methods for generating notional data. The method includes: receiving seed data of one or more object types in a base dataframe; defining one or more functional relationships associated with the one or more object types, at least one functional relationship of the one or more functional relationships specifying a change to seed data of one object type of the one or more object types; generating data of the one or more object types based at least in part on the seed data in the base dataframe and the one or more functional relationships; and generating the notional data based at least in part on the generated data of the one or more object types.

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