7.7 Summary
This chapter has introduced a smooth modified version of the parallel coordinate plot. The modifications are based on a parameter transformation process and its geometric structure. The mathematics behind the new plot has been explained with views that show how patterns may be detected in a dataset. The smooth curves have several significant features, including a norm-reducing property and orthogonal crossings of the axes.
Although not explicitly mentioned, the analysis of the datasets in the two examples needed a lot of interactions with the software. Actions like reordering and rescaling of axes (cf. Section 4.4.3) or the application of density estimation procedures are necessary steps towards a meaningful and presentable visualization.
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© 2006 Springer Science+Business Media, LLC
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Moustafa, R., Wegman, E. (2006). Multivariate Continuous Data — Parallel Coordinates. In: Graphics of Large Datasets. Statistics and Computing. Springer, New York, NY. https://doi.org/10.1007/0-387-37977-0_7
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DOI: https://doi.org/10.1007/0-387-37977-0_7
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-32906-2
Online ISBN: 978-0-387-37977-7
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