Data exploration and analysis, especially for non-programmers, remains a tedious and frustrating process of trial-and-error\u2014data scientists spend many hours poring through visualizations in the hope of finding those that match desired patterns. We demonstrate zenvisage, an interactive data exploration system tailored towards \u201cfast-forwarding\u201d to desired trends, patterns, or insights, without much effort from the user. Zenvisage\u2019s interface supports simple drag and-drop and sketch-based interactions as specification mechanisms for the exploration need, as well as an intuitive data exploration language called ZQL for more complex needs. Zenvisage is being developed in collaboration with ad analysts, battery scientists, and genomic data analysts, and will be demonstrated on similar datasets.<\/p>\n","protected":false},"excerpt":{"rendered":"
Data exploration and analysis, especially for non-programmers, remains a tedious and frustrating process of trial-and-error\u2014data scientists spend many hours poring through visualizations in the hope of finding those that match desired patterns. We demonstrate zenvisage, an interactive data exploration system tailored towards \u201cfast-forwarding\u201d to desired trends, patterns, or insights, without much effort from the user. 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