An Extension of Grand Tour Methods based on Andrews Curves

C. García-Osorio (Spain) and C. Fyfe (UK)


Visual Data Mining, Data Treatment and Visualization, Exploratory Data Analysis.


: We review two methods of using Andrews curves to per form one and two dimensional grand tours. Then, we show our own method of using a variant of Andrews' curves to obtain a dynamic sequence of three dimensional projec tions of a data set and, therefore, a three dimensional grand tour. We illustrate this method using a real dataset. Fi nally, we propose a way to combine in the same represen tation the information obtained from the raw data, and from the principal component projection of the data, obtaining a more robust exploratory data analysis tool. The proposed idea can be extended to combine other views of the data.

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