DataTweener: A Demonstration of a Tweening Engine for Incremental Visualization of Data Transforms
Summary: DataTweener introduces “data tweening”: animated intermediate visual states that expose structural changes between successive query results. An automated diff-based framework decomposes query-session transitions into basic transforms and visual cues, validated by user study. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Meraj Khan (Ohio State University)
- 2. Larry Xu (University of California Berkeley)
- 3. Arnab Nandi (Ohio State University)
- 4. Joseph M. Hellerstein (University of California Berkeley)
BibTeX Citation
@article{khan_vldb17,
title = {{DataTweener: A Demonstration of a Tweening Engine for Incremental Visualization of Data Transforms}},
author = {Khan, Meraj and Xu, Larry and Nandi, Arnab and Hellerstein, Joseph M.},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {12},
pages = {1953--1956},
doi = {10.14778/3137765.3137801},
url = {https://doi.org/10.14778/3137765.3137801},
year = {2017}
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,605 | dbTouch: Analytics at your Fingertips | 2013 | CIDR | 8.229938e-05 |
| 3,003 | Gestural Query Specification | 2014 | VLDB | 7.7645915e-05 |
| 6,634 | Data Tweening: Incremental Visualization of Data Transforms | 2017 | VLDB | 5.7264653e-05 |
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