Pixel Bar Charts : A New Technique for Visualizing Large Multi-Attribute Data Sets without Aggregation

Keim, Daniel A.; Hao, Ming C.; Ladisch, Julian; Hsu, Meichun; Dayal, Umeshwar

Pixel Bar Charts : A New Technique for Visualizing Large Multi-Attribute Data Sets without Aggregation

Dateien

HPL_2001_92.pdfGröße: 529.01 KBDownloads: 454

Datum

2001

Autor:innen

Keim, Daniel A.

Hao, Ming C.

Ladisch, Julian

Hsu, Meichun

Dayal, Umeshwar

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

IEEE Symposium on Information Visualization : INFOVIS 2001. Piscataway, NJ: IEEE, 2001, pp. 113-120. ISBN 0-7695-7342-8. Available under: doi: 10.1109/INFVIS.2001.963288

Zusammenfassung

Simple presentation graphics are intuitive and easy-to-use, but show only highly aggregated data and present only a very limited number of data values (as in the case of bar charts), and may have a high degree of overlap which may occlude a significant portion of the data values (as in the case of the x-y plots). In this paper, we therefore propose a generalization of traditional bar charts and x-y-plots which allows the visualization of large amounts of data. The basic idea is to use the pixels within the bars to present the detailed information of the data records. Our so-called pixel bar charts retain the intuitiveness of traditional bar charts while allowing very large data sets to be visualized in an effective way. We show that, for an effective pixel placement, we have to solve complex optimization problems, and present an algorithm which efficiently solves the problem. Our application using real-world e-commerce data shows the wide applicability and usefulness of our new idea.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

pixel, bar chart, web transactions, visualization

Konferenz

IEEE Symposium on Information Visualization : INFOVIS 2001, 22. Okt. 2001 - 23. Okt. 2001, San Diego, Ca, USA

Zitieren

ISO 690

KEIM, Daniel A., Ming C. HAO, Julian LADISCH, Meichun HSU, Umeshwar DAYAL, 2001. Pixel Bar Charts : A New Technique for Visualizing Large Multi-Attribute Data Sets without Aggregation. IEEE Symposium on Information Visualization : INFOVIS 2001. San Diego, Ca, USA, 22. Okt. 2001 - 23. Okt. 2001. In: IEEE Symposium on Information Visualization : INFOVIS 2001. Piscataway, NJ: IEEE, 2001, pp. 113-120. ISBN 0-7695-7342-8. Available under: doi: 10.1109/INFVIS.2001.963288

BibTex

@inproceedings{Keim2001Pixel-5796,
  year={2001},
  doi={10.1109/INFVIS.2001.963288},
  title={Pixel Bar Charts : A New Technique for Visualizing Large Multi-Attribute Data Sets without Aggregation},
  isbn={0-7695-7342-8},
  publisher={IEEE},
  address={Piscataway, NJ},
  booktitle={IEEE Symposium on Information Visualization : INFOVIS 2001},
  pages={113--120},
  author={Keim, Daniel A. and Hao, Ming C. and Ladisch, Julian and Hsu, Meichun and Dayal, Umeshwar}
}

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Universitätsbibliographie

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