Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System
Summary: zenvisage introduces ZQL, a declarative language and visual-exploration algebra for composing, filtering, comparing, and ranking collections of visualizations. Its graph-based optimizer and interactive shortcuts make pattern-driven exploration scalable and less trial-and-error. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tarique Siddiqui (University of Illinois Urbana-Champaign)
- 2. Albert Kim (Massachusetts Institute of Technology)
- 3. John Lee (University of Illinois Urbana-Champaign)
- 4. Karrie Karahalios (Adobe; University of Illinois Urbana-Champaign)
- 5. Aditya Parameswaran (University of Illinois Urbana-Champaign)
BibTeX Citation
@article{siddiqui_vldb17,
title = {{Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System}},
author = {Siddiqui, Tarique and Kim, Albert and Lee, John and Karahalios, Karrie and Parameswaran, Aditya},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {4},
pages = {457--468},
doi = {10.14778/3025111.3025124},
url = {https://doi.org/10.14778/3025111.3025124},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 35 of 35 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 395 | SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics | 2015 | VLDB | 0.00019156481 |
| 701 | Explaining differences in multidimensional aggregates | 1999 | VLDB | 0.0001467489 |
| 925 | Intelligent Rollups in Multidimensional OLAP Data | 2001 | VLDB | 0.00013045856 |
| 1,112 | Google Fusion Tables: Web-Centered Data Management and Collaboration | 2010 | SIGMOD | 0.00011975206 |
| 1,951 | VizDeck: Self-Organizing Dashboards for Visual Analytics | 2012 | SIGMOD | 9.3168416e-05 |
| 2,650 | DEVise: Integrated Querying and Visual Exploration of Large Datasets | 1997 | SIGMOD | 8.1706208e-05 |
| 2,697 | On Improving User Response Times in Tableau | 2015 | SIGMOD | 8.1166572e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,459 | SeeDB: Visualizing Database Queries Efficiently | 2014 | VLDB |
| 2 | 9,905 | Ziggy: Characterizing Query Results for Data Explorers | 2016 | VLDB |
| 3 | 5,588 | ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines | 2020 | SIGMOD |
| 4 | 12,192 | Enabling Data Science for the Majority | 2019 | VLDB |
| 5 | 7,424 | Efficient Evaluation of Object-Centric Exploration Queries for Visualization | 2015 | VLDB |
| 6 | 1,951 | VizDeck: Self-Organizing Dashboards for Visual Analytics | 2012 | SIGMOD |
| 7 | 11,331 | LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes | 2025 | VLDB |
| 8 | 2,650 | DEVise: Integrated Querying and Visual Exploration of Large Datasets | 1997 | SIGMOD |
| 9 | 2,522 | VizQL: A Language for Query, Analysis and Visualization | 2006 | SIGMOD |
| 10 | 6,519 | Fast-Forwarding to Desired Visualizations with zenvisage | 2017 | CIDR |