Summary
The first step is to analyze the statistical graphics in use, so we examine the descriptive statistics. Next is the boxplot, the Q-Q plot, the histogram, the regressogram, the barchart, the dotchart, the piechart, the 2D-scatterplot, the 2D-contour plot, the scatterplot matrix, the 3D-scatterplot, the 3D-contour plot, the Chernoff faces and the parallel coordinate plot. We use some of the tools of XploRe to examine the Berlin housing dataset which use the plots mentioned above. Finally we state that two kinds of windows are necessary, one which can draw points, lines and areas, another which can draw glyphs windows, i.e. the Chernoff faces, star diagrams and so on.
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© 1997 Springer-Verlag Berlin Heidelberg
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Klinke, S. (1997). Exploratory Statistical Techniques. In: Data Structures for Computational Statistics. Contributions to Statistics. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-59242-3_2
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DOI: https://doi.org/10.1007/978-3-642-59242-3_2
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-0982-4
Online ISBN: 978-3-642-59242-3
eBook Packages: Springer Book Archive