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 …

The visualization community has developed to date many intuitions and understandings of
how to judge the quality of views in visualizing data. The computation of a visualization's …

Researchers currently rely on ad hoc datasets to train automated visualization tools and
evaluate the effectiveness of visualization designs. These exemplars often lack the …

Visualization design can benefit from careful consideration of perception, as different
assignments of visual encoding variables such as color, shape and size affect how viewers …

We present the results of a controlled experiment to investigate the performance of different
temporal glyph designs in a small multiple setting. Analyzing many time series at once is a …

Bar charts with y-axes that don't begin at zero can visually exaggerate effect sizes. However,
advice for whether or not to truncate the y-axis can be equivocal for other visualization types …

Finding interesting patterns in large scatter plot spaces is a challenging problem and
becomes even more difficult with increasing number of dimensions. Previous approaches for …

Line graphs are usually considered to be the best choice for visualizing time series data,
whereas sometimes also scatter plots are used for showing main trends. So far there are no …

If we were to design Information Visualization from scratch, we would start with the basics:
understand the principles of perception, test how they apply to different data encodings …

In this paper, we describe a research agenda for deriving design principles directly from
data. We argue that it is time to go beyond manually curated and applied visualization …