Abstract
Andrews’ plots, a simple visualization technique, provide insight in multivariate data by projecting them to a range of one-dimensional subspaces. The subspaces are spanned by vectors whose coordinates are orthogonal trigonometric functions and this representation forms a Fourier expansion with coefficients being the coordinates of the data. Thus, every multivariate datum corresponds to a function, called Andrews’ curve.
There is no single statistical tool that is as powerful as a well-chosen graph.
Chambers et al. (1983)
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Morettin, P.A., Pinheiro, A., Vidakovic, B. (2017). Wavelet-Based Andrews’ Plots. In: Wavelets in Functional Data Analysis. SpringerBriefs in Mathematics. Springer, Cham. https://doi.org/10.1007/978-3-319-59623-5_4
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DOI: https://doi.org/10.1007/978-3-319-59623-5_4
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