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One of the most powerful ways through which we convey the results of data science is visualization, from simple Excel graphs through advanced displays like network diagrams and bespoke visuals.
Data visualization can serve two distinct purposes: to communicate research findings and to guide the data-exploration process as the scientific story is unfolding. Each goal entails a different ...
Misleading and confusing images can skew the data and lead to misinformation guiding important decisions. Deceptive data visualizations lead to residual effects like miscommunication and a loss of ...
In addition to developing visualization and interaction techniques, her lab also develops models to understand how people react to data. For example, earlier this year she published the paper “ A ...
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