CPC G06F 16/24534 (2019.01) | 20 Claims |
1. A method comprising:
determining, based on undetermined query information, one or more data constraints and a plurality of data analysis models;
determining, based on the one or more data constraints, a first aggregated dataset and a second aggregated dataset, wherein the first aggregated dataset comprises in-memory data and the second aggregated dataset comprises externally-sourced data, and wherein the in-memory data at least partially differs from the externally-sourced data; and
causing, based on the first aggregated dataset and the second aggregated dataset, a first data analysis model of the plurality of data analysis models to be output, wherein one or more portions of the second aggregated dataset correspond to one or more visual elements of the first data analysis model, wherein causing the first data analysis model to be output comprises: determining an amount of correspondence between elements of each data analysis model of the plurality of data analysis models and the one or more portions of the second aggregated dataset.
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