Multiple foci drill-down through tuple and attribute aggregation polyarchies in tabular data

Conklin, Nathan; Prabhakar, Sandeep; North, Chris

doi:10.1109/infvis.2002.1173158

Cited by 9 publications

(5 citation statements)

References 12 publications

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“…Both techniques employ transparency to communicate fidelity (the higher the variation in a cell, the higher the transparency), but neither addresses fidelity well. The Breakdown Visualization technique by Conklin and North 52 aggregates rows or columns of a table based on a pre-existing aggregation hierarchy. Users can traverse the hierarchy and pivot through intersecting hierarchies.…”

Section: Aggregation Methodsmentioning

confidence: 99%

Taggle: Combining overview and details in tabular data visualizations

Furmanová

Gratzl²,

Stitz

et al. 2019

Information Visualization

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Most tabular data visualization techniques focus on overviews, yet many practical analysis tasks are concerned with investigating individual items of interest. At the same time, relating an item to the rest of a potentially large table is important. In this work we present Taggle, a tabular visualization technique for exploring and presenting large and complex tables. Taggle takes an item-centric, spreadsheet-like approach, visualizing each row in the source data individually using visual encodings for the cells. At the same time, Taggle introduces data-driven aggregation of data subsets. The aggregation strategy is complemented by interaction methods tailored to answer specific analysis questions, such as sorting based on multiple columns and rich data selection and filtering capabilities. We demonstrate Taggle using a case study conducted by a domain expert on complex genomics data analysis for the purpose of drug discovery.

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Section: Aggregation Methodsmentioning

confidence: 99%

Taggle: Combining overview and details in tabular data visualizations

Furmanová

Gratzl²,

Stitz

et al. 2019

Information Visualization

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“…Looking at other previous work, Conklin et al [6] describe other specialized polyarchies. Of these, the tuple polyarchy is the most relevant to the current work.…”

Section: Analysis Of Mspacementioning

confidence: 97%

“…For example, future work on mSpace could combine the concepts of a tuple polyarchy [6], where each dimension is broken down hierarchically, and an mSpace polyarchy. Such a combination would at least require extending the multipane interface of Figure 3 to handle hierarchical dimensions.…”

Section: Future Directionsmentioning

confidence: 99%

A comparison of hyperstructures

McGuffin

schraefel

2004

Proceedings of the Fifteenth ACM Conference on Hypertext and Hypermedia

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Hypermedia applications tend to use simple representations for navigation: most commonly, nodes are organized within an unconstrained graph, and users are presented with embedded links or lists of links. Recently, new data structures have emerged which may serve as alternative models for both the organization, and presentation, of hypertextual nodes and links. In this paper, we consider zzstructures, mSpaces, and polyarchies from the perspective of graph theory, and compare these models formally. The novel aspects of this work include: providing a sound, graph-theoretic analysis of zzstructures; the identification of a new class of polyarchies associated with mSpaces; and the comparison and classification of these and other structures within a taxonomy. The taxonomy that results from our comparison allows us to consider, first; what the distinct characteristics of each model are at a fundamental level, and second; what model or attributes of a model may be most appropriate for the design goals of a given hypermedia application.

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“…If there is no global orientation shared between the structures, then the combined trees form a polyarchy structure (Figure 1d) as identified by Robertson et al 23 and used by Conklin et al's drill-down data browser 24 . Here the distinction between leaf nodes and internal nodes across trees breaks down; nodes which form parent-child relationships in one tree may end up forming the inverted relationship in another tree, or be siblings in yet another tree or unrelated altogether; leaf nodes in one tree may well be internal nodes in another and vice versa.…”

Section: Multiple Tree Structuresmentioning

confidence: 99%

A Survey of Multiple Tree Visualisation

Graham

Kennedy

2009

Information Visualization

124

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This paper summarises the state-of-the-art in multiple tree visualisations. It discusses the spectrum of current representation techniques used on single trees, pairs of trees and finally multiple trees, in order to identify which representations are best suited to particular tasks and to find gaps in the representation space where opportunities for future multiple tree visualisation research may exist. The application areas from where multiple tree data are derived are enumerated, and the distinct structures that multiple trees make in combination with each other and the effect on subsequent approaches to their visualisation are discussed, along with the basic high-level goals of existing multiple tree visualisations.

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Multiple foci drill-down through tuple and attribute aggregation polyarchies in tabular data

Cited by 9 publications

References 12 publications

Taggle: Combining overview and details in tabular data visualizations

Taggle: Combining overview and details in tabular data visualizations

A comparison of hyperstructures

A Survey of Multiple Tree Visualisation

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