DataTweener: A Demonstration of a Tweening Engine for Incremental Visualization of Data Transforms
Summary: DataTweener demonstrates a tweening engine for incremental visualization of data transforms in interactive analysis. An automated framework derives ordered sequences of basic structural transforms and visual cues from diffs between successive result-sets, enabling traceable, incremental understanding; user study validates usefulness. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Meraj Khan
- 2. Larry Xu
- 3. Arnab Nandi
- 4. Joseph M. Hellerstein
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,840 | dbTouch: Analytics at your Fingertips | 2013 | CIDR | 0.0001034905 |
| 3,188 | Gestural Query Specification | 2014 | VLDB | 7.4117439e-05 |
| 6,627 | Data Tweening: Incremental Visualization of Data Transforms | 2017 | VLDB | 4.9886939e-05 |
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