Towards Scalable Visual Data Wrangling via Direct Manipulation

Summary: Reframes cleaning as direct manipulation of coordinated views, letting users repair anomalies interactively and generate reproducible scripts. Scales via user-defined detectors/wranglers, provenance, differential storage and Hopara integration. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: h0ac0a20f9701b86f
Venue: CIDR
Year: 2026
Pagerank: 4.9793485e-05
Overall Rank: 10,352 | 30.40%
DOI: -

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. El Kindi Rezig (University of Utah)
2. Mir Mahathir Mohammad (University of Utah)
3. Nicolas Baret (University of Utah)
4. Ricardo Mayerhofer (Hopara, Inc)
5. Andrew McNutt (University of Utah)
6. Paul Rosen (University of Utah)

BibTeX Citation

@inproceedings{rezig_cidr26,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '26},
        title = {{Towards Scalable Visual Data Wrangling via Direct Manipulation}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Rezig, El Kindi and Mohammad, Mir Mahathir and Baret, Nicolas and Mayerhofer, Ricardo and McNutt, Andrew and Rosen, Paul},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
95	Potter's Wheel: An Interactive Data Cleaning System	2001	VLDB	0.00034382643
104	HoloClean: Holistic Data Repairs with Probabilistic Inference	2017	VLDB	0.00033690989
189	Scorpion: Explaining Away Outliers in Aggregate Queries	2013	VLDB	0.00025840026
883	HoloDetect: Few-Shot Learning for Error Detection	2019	SIGMOD	0.00013268059
1,342	Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning	2020	VLDB	0.00010968223
1,344	Detecting Data Errors: Where are we and what needs to be done?	2016	VLDB	0.00010956518
3,098	Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows	2022	VLDB	7.6517623e-05
3,263	Automatic Data Repair: Are We Ready to Deploy?	2024	VLDB	7.4809771e-05
4,347	Horizon: Scalable Dependency-driven Data Cleaning	2021	VLDB	6.6469984e-05
4,686	A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System	2022	VLDB	6.4708106e-05
5,252	Dagger: A Data (not code) Debugger	2020	CIDR	6.2087063e-05
5,540	Pre-trained Embeddings for Entity Resolution: An Experimental Analysis	2023	VLDB	6.0907591e-05
6,480	OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport	2024	SIGMOD	5.7717996e-05
7,583	Data Imputation with Limited Data Redundancy Using Data Lakes	2025	VLDB	5.4906208e-05
9,725	OIE: An Interpretable System for Outlier Explanation and Summarization	2025	SIGMOD	5.1349531e-05
9,747	Arachnid: Generalized Visual Data Cleaning	2019	SIGMOD	5.1349531e-05
11,417	Buckaroo: A Direct Manipulation Visual Data Wrangler	2025	VLDB	4.9793485e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	5,954	Semi-Supervised Data Cleaning with Raha and Baran	2021	CIDR
2	3,098	Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows	2022	VLDB
3	4,347	Horizon: Scalable Dependency-driven Data Cleaning	2021	VLDB
4	1,977	Data Wrangling: The Challenging Journey from the Wild to the Lake	2015	CIDR
5	6,046	Your notebook is not crumby enough, REPLace it	2020	CIDR
6	4,449	Data Debugging and Exploration with Vizier	2019	SIGMOD
7	9,470	VisClean: Interactive Cleaning for Progressive Visualization	2020	VLDB
8	9,747	Arachnid: Generalized Visual Data Cleaning	2019	SIGMOD
9	7,354	The VADA Architecture for Cost-Effective Data Wrangling	2017	SIGMOD
10	11,417	Buckaroo: A Direct Manipulation Visual Data Wrangler	2025	VLDB