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| Content Provider | ACM Digital Library |
|---|---|
| Author | Chang, Riley Heer, Jeffrey Anand, Anushka Moritz, Dominik Qu, Zening Mackinlay, Jock Ouk, Felix Wongsuphasawat, Kanit Howe, Bill |
| Abstract | Visual data analysis involves both open-ended and focused exploration. Manual chart specification tools support question answering, but are often tedious for early-stage exploration where systematic data coverage is needed. Visualization recommenders can encourage broad coverage, but irrelevant suggestions may distract users once they commit to specific questions. We present Voyager 2, a mixed-initiative system that blends manual and automated chart specification to help analysts engage in both open-ended exploration and targeted question answering. We contribute two partial specification interfaces: wildcards let users specify multiple charts in parallel, while related views suggest visualizations relevant to the currently specified chart. We present our interface design and applications of the CompassQL visualization query language to enable these interfaces. In a controlled study we find that Voyager 2 leads to increased data field coverage compared to a traditional specification tool, while still allowing analysts to flexibly drill-down and answer specific questions. |
| Starting Page | 2648 |
| Ending Page | 2659 |
| Page Count | 12 |
| File Format | |
| ISBN | 9781450346559 |
| DOI | 10.1145/3025453.3025768 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-05-02 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Exploratory analysis Data visualization Mixed-initiative interfaces Visualization recommendation Partial specification |
| Content Type | Text |
| Resource Type | Article |
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