Dashboards are one of the most common use cases for data visualization, and their design
and contexts of use are considerably different from exploratory visualization tools. In this …

We survey the state of the art of spatial interfaces for 3D visualization. Interaction techniques
are crucial to data visualization processes and the visualization research community has …

可视分析是大数据分析的重要方法. 大数据可视分析旨在利用计算机自动化分析能力的同时,
充分挖掘人对于可视化信息的认知能力优势, 将人, 机的各自强项进行有机融合 …

This paper introduces design patterns for dashboards to inform dashboard design
processes. Despite a growing number of public examples, case studies, and general …

Visual analytics enables us to analyze huge information spaces in order to support complex
decision making and data exploration. Humans play a central role in generating knowledge …

Supporting comparison is a common and diverse challenge in visualization. Such support is
difficult to design because solutions must address both the specifics of their scenario as well …

Visual analytics (VA) is typically applied in scenarios where complex data has to be
analyzed. Unfortunately, there is a natural correlation between the complexity of the data …

Multivariate networks are made up of nodes and their relationships (links), but also data
about those nodes and links as attributes. Most real‐world networks are associated with …

Purpose Process redesign refers to the intentional change of business processes. While
process redesign methods provide structure to redesign projects, they provide limited …

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 …