Abstract
Graphics are very effective for communicating numerical information quickly and efficiently, but many of the design choices we make are based on subjective measures, such as personal taste or conventions of the discipline rather than objective criteria. We briefly introduce perceptual principles such as preattentive features and gestalt heuristics, and then discuss the design and results of a factorial experiment examining the effect of plot aesthetics such as color and trend lines on participants’ assessment of ambiguous data displays. The quantitative and qualitative experimental results strongly suggest that plot aesthetics have a significant impact on the perception of important features in data displays. Supplementary materials for this article are available online.
Citation
[1] S. Vanderplas and H. Hofmann. “Clusters Beat Trend!? Testing Feature Hierarchy in Statistical Graphics”. In: Journal of Computational and Graphical Statistics 26.2 (Apr. 24, 2017), pp. 231-242. DOI: https://doi.org/10.1080/10618600.2016.1209116.
@article{featurehierarchyjcgs,
title = {{C}lusters Beat {T}rend!? {T}esting Feature Hierarchy in Statistical Graphics},
author = {Susan Vanderplas and Heike Hofmann},
journal = {Journal of Computational and Graphical Statistics},
publisher = {Taylor & Francis},
year = {2017},
number = {2},
pages = {231-242},
volume = {26},
doi = {https://doi.org/10.1080/10618600.2016.1209116},
month = {apr},
}