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The GUHA is a method of exploratory data analysis with logical and statistical backgrounds.
The data analysis included descriptive methods for categorical data as well as bivariate and multivariate methods.
A user-oriented overview of some widely applied methods in exploratory data analysis, multivariate classification, and multivariate calibration will be given – avoiding any detailed mathematics.
The data were analysed using bivariate and multivariate methods.
It can further be divided into bivariate and multivariate methods.
The problem of environmental data reduction and interpretation of multiconstituent physicochemical and biochemical measurements can be more easily handled through application of robust multivariate methods and exploratory data analysis (Brown 1988; Wenning and Erickson 1994).
The data analysis approaches include spectral assessment, as well as descriptive, bivariate and multivariate methods.
Most of these methods come from the domain of exploratory data analysis and can be applied to any multivariate data.
Statistical analyses included bivariate and multivariate methods.
Analyses were undertaken using both bivariate and multivariate methods.
A number of exploratory data analysis methods are available in separate panels, including alpha diversity estimates, multivariate ordination methods, as well as network, heatmap, scatter and bar graphics.
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