Abstract: A system, computer program product, and method is described to propose a method to automatically suggest a visualization providing the best insight for a given dataset, by maximizing an utility function computed on properties of the input data, and previously used visualizations by the same user and for the same data. In one example method for recommending a data visualization in a computer system includes receiving at least one input dataset and at least one set of previous visualizations. A utility function is accessed. A set of potential visualizations is computed using the input dataset and the set of previous visualizations. A recommendation is selected for a proposed visualization from the set of potential visualizations by maximizing a value of the utility function, whereby the proposed visualization is a new visualization not in the set of previous visualizations.

Abstract: A system, computer program product, and method is described to propose a method to automatically suggest a visualization providing the best insight for a given dataset, by maximizing an utility function computed on properties of the input data, and previously used visualizations by the same user and for the same data. In one example method for recommending a data visualization in a computer system includes receiving at least one input dataset and at least one set of previous visualizations. A utility function is accessed. A set of potential visualizations is computed using the input dataset and the set of previous visualizations. A recommendation is selected for a proposed visualization from the set of potential visualizations by maximizing a value of the utility function, whereby the proposed visualization is a new visualization not in the set of previous visualizations.