Towards Democratizing Relational Data Visualization
Summary: Three pillars for relational data viz: interaction-first languages, efficient pipelines, and underspecified-input recommendations. Suggests DB-centered visualization challenges: interaction, processing efficiency, and recommendations for relational viz. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nan Tang (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 2. Eugene Wu (Columbia University)
- 3. Guoliang Li (Tsinghua University)
BibTeX Citation
@inproceedings{tang_sigmod19,
title = {{Towards Democratizing Relational Data Visualization}},
author = {Tang, Nan and Wu, Eugene and Li, Guoliang},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3314029},
url = {https://dl.acm.org/doi/10.1145/3299869.3314029},
year = {2019}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,809 | Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks | 2021 | SIGMOD | 6.4984309e-05 |
| 5,524 | Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data | 2020 | SIGMOD | 6.1868208e-05 |
| 10,002 | COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics | 2021 | VLDB | 5.1814573e-05 |
| 11,470 | A Tutorial on Visual Representations of Relational Queries | 2023 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 26 of 26 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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