Graphical inference for Infovis
How do we know if what we see is really there? When visualizing data, how do we avoid falling into the trap of apophenia where we see patterns in random noise? Traditionally, infovis has been concerned with discovering new relationships, and statistics with preventing spurious relationships from bei...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 16(2010), 6 vom: 15. Nov., Seite 973-9
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| 1. Verfasser: |
Wickham, Hadley
(VerfasserIn) |
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| Weitere Verfasser: |
Cook, Dianne,
Hofmann, Heike,
Buja, Andreas |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2010
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article
Research Support, U.S. Gov't, Non-P.H.S. |
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