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Buckaroo: A Direct Manipulation Visual Data Wrangler

Summary: Buckaroo is a direct-manipulation visual data-wrangling system that automatically surfaces “interesting” anomalous groups in tabular data and recommends repair actions. Users apply suggested transformations by manipulating visual objects with immediate previews and undo/redo, enabling iterative, low-code correction of parsing, formatting, merging and deduplication issues. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
14360
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
11,054 | 24.16%
DOI
10.14778/3750601.3750687

Incoming Non-self Citations Over Time

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

Authors

BibTeX Citation

@article{warner_vldb25,
        title = {{Buckaroo: A Direct Manipulation Visual Data Wrangler}},
        author = {Warner, Annabelle and McNutt, Andrew and Rosen, Paul and Rezig, El Kindi},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {12},
        pages = {5423--5426},
        doi = {10.14778/3750601.3750687},
        url = {https://doi.org/10.14778/3750601.3750687},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,131 Towards Scalable Visual Data Wrangling via Direct Manipulation 2026 CIDR 5.093636e-05
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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
963 The Data Civilizer System 2017 CIDR 0.00012935145
5,404 Dagger: A Data (not code) Debugger 2020 CIDR 6.2294192e-05
5,682 RetClean: Retrieval-Based Data Cleaning Using LLMs and Data Lakes 2024 VLDB 6.123486e-05
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