Enhancing Data-Analytic Visualizations With Machine Learning

A data analytics system comprising instructions that, when executed by a computing device, cause the computing device to:

• capture first input data and first output data responsive to deconstructing a data-analytic visualization generated by a first user using the data analytics system;
• train a machine learning model relative to the first input data and first output data mapped for generating the data-analytic visualization;
• and
• report, by the data analytics system referencing the machine learning model, the data-analytic visualization responsive to second input data received by the data analytics system from a second user.

A non-transitory machine-readable storage medium storing instructions that, when executed by at least one computing device, cause the at least one computing device to:

• capture first input data and first output data responsive to deconstructing a data-analytic visualization generated by an advanced user using a data analytics system;
• train a machine learning model relative to the first input data and first output data mapped for generating the data-analytic visualization responsive to second input data received by the machine learning model from a second user;
• and
• report, by the data analytics system referencing the machine learning model, the data-analytic visualization responsive to the second input data received from the second user if at least one of a threshold is not applied against the data-analytic visualization, or a threshold is applied and the data-analytic visualization meets the threshold.