Traditional scatterplots fail to scale as the complexity and amount of data increases. In
response, there exist many design options that modify or expand the traditional scatterplot …

Scatterplots are among the most widely used visualization techniques. Compelling
scatterplot visualizations improve understanding of data by leveraging visual perception to …

Scatterplots are used for a variety of visual analytics tasks, including cluster identification,
and the visual encodings used on a scatterplot play a deciding role on the level of visual …

Effective communication using visualization relies in part on the use of viable encoding
strategies. For example, a viewer's ability to rapidly and accurately discern between two or …

Shape is commonly used to distinguish between categories in multi-class scatterplots.
However, existing guidelines for choosing effective shape palettes rely largely on intuition …

Un desafío importante al iniciar un proceso de visualización es el de encontrar una
representación adecuada para un conjunto de datos y brindar las interacciones apropiadas …

Scatterplots can be used for a wide range of visual analysis tasks, for example comparing
correlations or variances of clusters across potentially multiple classes of data, in order to …

Visualization is crucial in today's data-driven world to augment and enhance human
understanding and decision-making. Effective visualizations must support accuracy in visual …

The scatterplot matrix is defined to be a standard method for multivariate data visualization;
nonetheless, their use for decision-support in a corporate environment is scarce. Amongst …

This paper reports on an experimental study on industrial information visualization interface
to measure the mechanism of information style, information complexity and task complexity …