Shaping Data: Scaling Data Visualizations
نویسنده
چکیده
Generating the maximum number of visual patterns by uncovering the entire space of possible visual designs remains a challenge within the construction process of information visualization. Users interact with different mindsets consisting of design, data analysis, application development, and hardware resource usage. Therefore, they desire a flexible and productive interface that keeps them clued into the design process without requiring knowledge of the underlying technical system. A general model was applied to a prototype to demonstrate the benefits and restrictions of this construction process and to contribute toward bringing different mindsets together. Type of presentation: Research contribution – Visual analytics
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