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Multiscale scatterplot matrix for visual and interactive exploration of metabonomic data

Abstract : We describe a method turning scatterplot matrix visualizations into malleable graphical objects facilitating interaction and selection of pixelized data elements. The method relies on density estimation techniques [1,2] applied through standard image processing. A 2D scatterplot is considered as an image and is then transformed into nested regions that can be easily selected. Based on Wattenberg and Fisher [3], and as confirmed by our experience, we believe users have a good intuition interpreting and interacting with these multiscale graphical objects. Bio-molecular data serves here as a case study for our methodology. The method was discussed and designed in collaboration with experts in metabonomics and has proven to be useful and complementary to classical statistical methods.
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https://hal.inrae.fr/hal-02751211
Contributor : Migration Prodinra <>
Submitted on : Wednesday, June 3, 2020 - 5:40:14 PM
Last modification on : Saturday, June 5, 2021 - 3:40:27 AM

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Fabien Jourdan, Alain Paris, Pierre-Yves Koenig, Guy Melançon. Multiscale scatterplot matrix for visual and interactive exploration of metabonomic data. 1st Visual Information Expert Workshop (VIEW), Apr 2006, Paris, France. ⟨hal-02751211⟩

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