Aquanims: Area-Preserving Animated Transitions in Statistical Data Graphics based on a Hydraulic Metaphor

TL;DR

Aquanims introduces area-preserving animated transitions for statistical graphics using a hydraulic metaphor, enhancing understanding of data transformations in visualizations like bar charts and confusion matrices.

Contribution

This paper presents a novel hydraulic metaphor-based approach for animated transitions that preserve area in statistical graphics, improving interpretability during data changes.

Findings

Aquanims effectively preserve area during animated transitions.

They facilitate understanding of data changes in various chart types.

The approach aids in visualizing classification errors in confusion matrices.

Abstract

We propose "aquanims" as new design metaphors for animated transitions that preserve displayed areas during the transformation. Animated transitions are used to facilitate understanding of graphical transformations between different visualizations. Area is key information to preserve during filtering or ordering transitions of area-based charts like bar charts, histograms, treemaps, or mosaic plots. As liquids are incompressible fluids, we use a hydraulic metaphor to convey the sense of area preservation during animated transitions: in aquanims, graphical objects can change shape, position, color, and even connectedness but not displayed area, as for a liquid contained in a transparent vessel or transferred between such vessels communicating through hidden pipes. We present various aquanims for product plots like bar charts and histograms to accommodate changes in data, in the ordering of bars or in a number of bins, and to provide animated tips. We also consider confusion matrices visualized as fluctuation diagrams and mosaic plots, and show how aquanims can be used to ease the understanding of different classification errors of real data.