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Multivariate Continuous Data — Parallel Coordinates

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Book cover Graphics of Large Datasets

Part of the book series: Statistics and Computing ((SCO))

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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