We present and discuss the results of a qualitative analysis of visual
representations from images. We labeled each image's essential stimuli, the
removal of which would render a visualization uninterpretable. As a result, we
derive a typology of 10 visualization types of defined groups. We describe the
typology derivation process in which we engaged. The resulting typology and
image analysis can serve a number of purposes: enabling researchers to study
the evolution of the community and its research output over time, facilitating
the categorization of visualization images for the purpose of research and
teaching, allowing researchers and practitioners to identify visual design
styles to further align the quantification of any visual information processor,
be that a person or an algorithm observer, and it facilitates a discussion of
standardization in visualization. In addition to the visualization typology
from images, we provide a dataset of 6,833 tagged images and an online tool
that can be used to explore and analyze the large set of labeled images. The
tool and data set enable scholars to closely examine the diverse visual designs
used and how they are published and communicated in our community. A
pre-registration, a free copy of this paper, and all supplemental materials are
available via osf.io/dxjwt.

对来自图像的视觉表达进行定性分析，得出 10 种可定义的可视化类型并提供相关数据集和在线工具，用于研究、教学和标准化可视化设计。