Interaction with the Reorderable Matrix

Siirtola, Harri

doi:10.1109/iv.1999.781570

Cited by 25 publications

(35 citation statements)

References 3 publications

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“…Bertin argues for ordering rows and columns independently, which is incompatible with methods ordering both axes at the same time such as biclustering or Siirtola's approach [49]. We thus opted for using "optimal leaf ordering" [4] (OLO).…”

Section: Matrix Reordering Methodsmentioning

confidence: 99%

“…Now with the widespread availability of computers, anyone can generate tabular visualizations automatically [59], and Bertin's physical matrix is little more than an intriguing historical anecdote. However, the results are rarely satisfactory without a good amount of user interaction [33,49]. Bertin himself realized the formidable potential of interactive computers [42] and he tried to adapt his method to computers [14].…”

Section: Introductionmentioning

confidence: 99%

“…Bertin himself realized the formidable potential of interactive computers [42] and he tried to adapt his method to computers [14]. Later, some Infovis researchers tried to resurrect Bertin's matrices [46,49]. However, none of these implementations has been widely adopted, perhaps because they only featured rudimentary interactions, were incomplete, and were not accessible to a wide audience.…”

Section: Introductionmentioning

confidence: 99%

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Revisiting Bertin Matrices: New Interactions for Crafting Tabular Visualizations

Périn

Dragicevic

Fekete

2014

IEEE Trans. Visual. Comput. Graphics

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Abstract-We present BERTIFIER, a web app for rapidly creating tabular visualizations from spreadsheets. BERTIFIER draws from Jacques Bertin's matrix analysis method, whose goal was to "simplify without destroying" by encoding cell values visually and grouping similar rows and columns. Although there were several attempts to bring this method to computers, no implementation exists today that is both exhaustive and accessible to a large audience. BERTIFIER remains faithful to Bertin's method while leveraging the power of today's interactive computers. Tables are formatted and manipulated through crossets, a new interaction technique for rapidly applying operations on rows and columns. We also introduce visual reordering, a semi-interactive reordering approach that lets users apply and tune automatic reordering algorithms in a WYSIWYG manner. Sessions with eight users from different backgrounds suggest that BERTIFIER has the potential to bring Bertin's method to a wider audience of both technical and non-technical users, and empower them with data analysis and communication tools that were so far only accessible to a handful of specialists. Permanent repository link

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Section: Matrix Reordering Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Revisiting Bertin Matrices: New Interactions for Crafting Tabular Visualizations

Périn

Dragicevic

Fekete

2014

IEEE Trans. Visual. Comput. Graphics

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“…Bertin designed a generic visual technique for processing and analyzing tabular data [5]. Bertin's physical implementation was later adapted to computers [14,47,51], e.g., TableLens [41] and FOCUS [48]. Bertifier [38] is a recent interactive tabular visualization of heterogeneous data that remains faithful to Bertin's interactive matrix technique, while taking advantage of the power of interactive computers.…”

Section: Heterogeneous Data Visualizationmentioning

confidence: 99%

Exploring the Possibilities of Embedding Heterogeneous Data Attributes in Familiar Visualizations

Loorak

Périn

Collins³

et al. 2017

IEEE Trans. Visual. Comput. Graphics

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Abstract-Heterogeneous multi-dimensional data are now sufficiently common that they can be referred to as ubiquitous. The most frequent approach to visualizing these data has been to propose new visualizations for representing these data. These new solutions are often inventive but tend to be unfamiliar. We take a different approach. We explore the possibility of extending well-known and familiar visualizations through including Heterogeneous Embedded Data Attributes (HEDA) in order to make familiar visualizations more powerful. We demonstrate how HEDA is a generic, interactive visualization component that can extend common visualization techniques while respecting the structure of the familiar layout. HEDA is a tabular visualization building block that enables individuals to visually observe, explore, and query their familiar visualizations through manipulation of embedded multivariate data. We describe the design space of HEDA by exploring its application to familiar visualizations in the D3 gallery. We characterize these familiar visualizations by the extent to which HEDA can facilitate data queries based on attribute reordering. Permanent repository link

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“…This extends to our representations of opinions on various features: a number of charts are arranged in rows and columns ( Figure 4). Comparisons of opinions across features are made easier when many of these charts are arranged neatly and nearly [19,26]. This follows Tufte's principle of small multiples, that many repeated representations can enforce "comparisons of changes, of the differences among objects, of the scope of alternatives."…”

Section: Visualization Of Opinion Datamentioning

confidence: 99%

A multimedia interface for facilitating comparisons of opinions

Carenini

Rizoli

2009

Proceedings of the 14th International Conference on Intelligent User Interfaces

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Written opinion on products and other entities can be important to consumers and researchers, but expensive and difficult to analyze. We present a multimedia interface designed to facilitate the analysis of opinions on multiple entities, which could be beneficial to many individuals and organizations. It integrates an information visualization and an intelligent system that selects notable comparisons in the data and summarizes them in text. This system applies a set of statistics for comparing opinions across entities. We conducted a study of our interface with 36 subjects. Subjects liked the visualization overall and our system's selections overlapped with those of subjects more than did the selections of baseline systems. Given the choice, subjects sometimes changed their selections to be more consistent with those of our system. This suggests that system selections were valuable to them.

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Interaction with the Reorderable Matrix

Cited by 25 publications

References 3 publications

Revisiting Bertin Matrices: New Interactions for Crafting Tabular Visualizations

Revisiting Bertin Matrices: New Interactions for Crafting Tabular Visualizations

Exploring the Possibilities of Embedding Heterogeneous Data Attributes in Familiar Visualizations

A multimedia interface for facilitating comparisons of opinions

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