InterAxis: Steering Scatterplot Axes via Observation-Level Interaction

Scatterplots are effective visualization techniques for multidimensional data that use two (or three) axes to visualize data items as a point at its corresponding x and y Cartesian coordinates. Typically, each axis is bound to a single data attribute. Interactive exploration occurs by changing the d...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics 2016-01, Vol.22 (1), p.131-140
Hauptverfasser:	Hannah Kim, Jaegul Choo, Haesun Park, Endert, Alex
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytics Axes (reference lines) Cartesian coordinates Data models Data visualization model steering Multidimensional data Principal component analysis Scalability Scatterplots Semantics Steering user interaction Visual analytics Visualization
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