Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System

Understand

Data visualization is by far the most commonly used mechanism to explore data, especially by novice data analysts and data scientists.

• And yet, current visual analytics tools are rather limited in their ability to guide data scientists to interesting or desired visualizations: the process of visual data exploration remains cumbersome and time-consuming.
• We propose zenvisage, a platform for effortlessly visualizing interesting patterns, trends, or insights from large datasets.
• We describe zenvisage's general purpose visual query language, ZQL ("zee-quel") for specifying the desired visual trend, pattern, or insight - ZQL draws from use-cases in a variety of domains, including biology, mechanical engineering, climate science, and commerce.