Obtaining an explanation for SQL query result can enrich the analysis experience, reveal data errors, and provide deeper insight into data. Inference seeks to explain unexpected aggregate results on inference data; such queries are challenging because may need be derived from source, training, or in ML pipeline. In this paper, we model objective function as a black-box propose BOExplain, novel ...

A Bayesian view of data interpretation suggests that a visualization user should update their existing beliefs about parameter's value in accordance with the amount information parameter captured by new observations. Extending recent work applying models to understand and evaluate belief updating from visualizations, we show how predictions inference can be used guide more rational updating. We...