The DOI matches its Crossref record.
A tour through the visualization zoo
Open accessAbstract
A survey of powerful visualization techniques, from the obvious to the obscure.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Visual learning analytics of educational data: A systematic literature review and research agenda
Vieira, C., Parsons, P., & Byrd, V. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.03.018 · Cited by 316
Software traceability: trends and future directions
Cleland-Huang, J., Gotel, O. C. Z., Huffman Hayes, J., Mäder, P., & Zisman, A. (2014) · Future of Software Engineering Proceedings · doi:10.1145/2593882.2593891 · Cited by 309
A survey of visual analytics for Explainable Artificial Intelligence methods
Alicioglu, G., & Sun, B. (2022) · Computers & Graphics · doi:10.1016/j.cag.2021.09.002 · Cited by 221
Visualizing digital media interactions: providing feedback on jam2jam AV performances
Brown, A. R. (2010) · Proceedings of the 22nd Conference of the Computer-Human Interaction Special Interest Group of Australia on Computer-Human Interaction · doi:10.1145/1952222.1952264 · Cited by 5
Metadata
- Authors
- Heer, J., Bostock, M., & Ogievetsky, V.
- Venue
- Communications of the ACM
- Published
- 2010-06
- Volume
- 53
- Issue
- 6
- Pages
- 59-67
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2064236037
- Cited by
- 436
- References
- 0
- FWCI
- 24.32
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A tour through the visualization zoo. https://app.cochat.ai/papers/10.1145/1743546.1743567
- The paper
- Heer, J., Bostock, M., & Ogievetsky, V. (2010). A tour through the visualization zoo. Communications of the ACM. https://doi.org/10.1145/1743546.1743567
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
