Dirty data and deceptive design practices can undermine, invert, or invalidate the purported
messages of charts and graphs. These failures can arise silently: a conclusion derived from …

Despite the rising popularity of automated visualization tools, existing systems tend to
provide direct results which do not always fit the input data or meet visualization …

Counterfactuals–expressing what might have been true under different circumstances–have
been widely applied in statistics and machine learning to help understand causal …

Exploratory data analysis of high-dimensional datasets is a crucial task for which visual
analytics can be especially useful. However, the ad hoc nature of exploratory analysis can …

Temporal event data are collected across a broad range of domains, and a variety of visual
analytics techniques have been developed to empower analysts working with this form of …

Embodiments are directed to generating metrics based on visualizations. A dashboard that
may be associated with source visualizations display a current value of metrics from source …

Abstract Domain-specific languages represented in data serialization formats (such as
Javascript Object Notation or JSON) are an increasingly common means to control …

US11579760B2 - Automatic data model generation - Google Patents US11579760B2 -
Automatic data model generation - Google Patents Automatic data model generation …

Embodiments are directed to generating metrics based on visualizations. A dashboard that
may be associated with source visualizations display a current value of metrics from source …

We are interested in a kind of bias in the process of data exploration. In the current
exploratory data analysis (EDA) tools, there is a danger of wandering in the garden of …