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Rubio et al.
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# Studies on Estimation in Visualization
# Studies on Estimation in Visualization

* Motivated by exploratory, overview stages of data analysis, the authors propose a method to allow for estimation of data values in radial axis charts (e.g. star coordinates and RadVis) where data is inevitably lost during the transformation. Calibrating (labelling) and centering data in star coordinate plots considerably increases attribute estimation accuracy.

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[@rubio-sanchezAxisCalibrationImproving2014]

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[@suzukiScatterplotBasedVisualizationTool2016]

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[@redmondVisualCuesEstimation2019b]

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[@ventocillaComparativeUserStudy2020]

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