A Visual Analysis of Multi-Attribute Data Using Pixel Matrix Displays

Hao, Ming C.; Dayal, Umeshwar; Keim, Daniel A.; Schreck, Tobias

A Visual Analysis of Multi-Attribute Data Using Pixel Matrix Displays

Dateien

vda07ming.pdfGröße: 345.93 KBDownloads: 471

Datum

2007

Autor:innen

Hao, Ming C.

Dayal, Umeshwar

Keim, Daniel A.

Schreck, Tobias

Publikationstyp

Beitrag zu einem Konferenzband

unikn.publication.listelement.citation.prefix.version.undefined

ERBACHER, Robert F., ed., Jonathan C. ROBERTS, ed., Matti T. GRÖHN, ed., Katy BÖRNER, ed.. Visualization and Data Analysis 2007. SPIE, 2007, 649505. Available under: doi: 10.1117/12.706151

Zusammenfassung

Charts and tables are commonly used to visually analyze data. These graphics are simple and easy to understand, but charts show only highly aggregated data and present only a limited number of data values while tables often show too many data values. As a consequence, these graphics may either lose or obscure important information, so different techniques are required to monitor complex datasets. Users need more powerful visualization techniques to digest and compare detailed multi-attribute information to analyze the health of their business. This paper proposes an innovative solution based on the use of pixel-matrix to represent transaction-level information within graphics. With pixel-matrixes, users can visualize areas of importance at a glance, a capability not provided by common charting techniques. Our solutions are based on colored pixel-matrixes, which are used in (1) charts for visualizing data patterns and discovering exceptions, (2) tables for visualizing correlations and finding root-causes, and (3) time series for visualizing the evolution of long-running transactions. The solutions have been applied with success to product sales, Internet network performance analysis, and service contract applications demonstrating the benefits of our method over conventional graphics. The method is especially useful when detailed information is a key part of the analysis.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

pixel-matrix visualization, multi-attribute dataset, bar charts, tables, time series

Konferenz

Electronic Imaging 2007, San Jose, CA

Zitieren

ISO 690

HAO, Ming C., Umeshwar DAYAL, Daniel A. KEIM, Tobias SCHRECK, 2007. A Visual Analysis of Multi-Attribute Data Using Pixel Matrix Displays. Electronic Imaging 2007. San Jose, CA. In: ERBACHER, Robert F., ed., Jonathan C. ROBERTS, ed., Matti T. GRÖHN, ed., Katy BÖRNER, ed.. Visualization and Data Analysis 2007. SPIE, 2007, 649505. Available under: doi: 10.1117/12.706151

BibTex

@inproceedings{Hao2007-01-28Visua-5468,
  year={2007},
  doi={10.1117/12.706151},
  title={A Visual Analysis of Multi-Attribute Data Using Pixel Matrix Displays},
  number={6495},
  publisher={SPIE},
  series={SPIE Proceedings},
  booktitle={Visualization and Data Analysis 2007},
  editor={Erbacher, Robert F. and Roberts, Jonathan C. and Gröhn, Matti T. and Börner, Katy},
  author={Hao, Ming C. and Dayal, Umeshwar and Keim, Daniel A. and Schreck, Tobias},
  note={Article Number: 649505}
}

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Universitätsbibliographie

Ja