A tour through the visualization zoo

By Jeffrey Heer, Michael Bostock, Vadim Ogievetsky. Queue, 2010

488 citations recorded by the source corpus.

A survey of powerful visualization techniques, from the obvious to the obscure.

Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/532ed73c71101fc64e4c307d7d932d4c90140487

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Graphics and Computer-Aided Design

In Computer Vision and Pattern Recognition

In Human-Computer Interaction

Citations in the corpus

Situation Awareness-Based Agent Transparency (2014, unknown): “A cue has characteristics that allow it to stand apart from the area around it (Heer et al., 2010; Treisman, 1985).”
Big data, bigger dilemmas: A critical review (2015, methodology): “Indeed, “for any given dataset the number of visual encodings—and thus the space of possible visualization designs—is extremely large” (Heer et al., 2010, p. 59).”
Accelerating t-SNE using tree-based algorithms (2014, methodology): “Accelerating t-SNE using Tree-Based Algorithms Laurens van der Maaten lvdmaaten@gmail.com”
What Makes a Visualization Memorable? (2013, background): “There is also recent work on taxonomies for interactive visualizations and the additional tasks they enable [16, 17, 33, 35].”
Software traceability: trends and future directions (2014, methodology): “Enormous advances have been made in popular techniques and tools for information and knowledge visualization [42].”
The Science of Visual Data Communication: What Works (2021, background): “However, for complex analysis of large data sets, specialists prefer variants of the depiction at the right, in which each “node” is both a row and a column in the matrix, and their intersecting square is filled only if those nodes are connected (Heer et al., 2010).”
Barnes-Hut-SNE (2013, background): “One of the key limitations of traditional visualization techniques such as histograms, scatter plots, and parallel coordinate plots (see, e.g. , [10] for an overview) is that they only facilitate the visualization of one or a few data variables at a time.”