Teaching:TUW - UE InfoVis WS 2010/11 - Gruppe 01 - Aufgabe 2: Difference between revisions
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== Introduction == | == Introduction == | ||
Information visualization provides tools to show new relations in data. Statistics instead provides methods that can examine if an assumption is correct or not. Graphical inference tries to find a balance between these two methods. With the help of apophenia, the capability of human to detect patterns in noise, hypotheses can be established. | Information visualization provides tools to show new relations in data. Statistics instead provides methods that can examine if an assumption is correct or not. Graphical inference tries to find a balance between these two methods. With the help of apophenia, the capability of human to detect patterns in noise, hypotheses can be established. The goal of graphical inference is, as in statistics, to reveal faulty conclusions. | ||
Revision as of 18:02, 15 November 2010
Graphical Inference for Infovis
The following article summarizes the work of [Wickham et al., 2010] on graphical inference.
Introduction
Information visualization provides tools to show new relations in data. Statistics instead provides methods that can examine if an assumption is correct or not. Graphical inference tries to find a balance between these two methods. With the help of apophenia, the capability of human to detect patterns in noise, hypotheses can be established. The goal of graphical inference is, as in statistics, to reveal faulty conclusions.