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Written by Johan Trygg
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Data tables are useful for storing information, for example on computers, but do not provide an overview or help us to understand the data. Line plots and 2-D scatter plots are useful tools to visualise tables of data, however, only when there are two or three variables in the data table. With only 20 variables measured there are 190 different scatter plots and having 100 variables increases that number to 4500.
Advances in instrumentation, electronics and computer technology have reduced the cost and time associated with making measurements, and this has lead to a rapidly  increasing number of variables being measured. E.g. a single scan using near-infrared spectroscopy in the wavelength range 400-2500 nm produces 1050 variables. Thus we need to have a more effective approach to visualise data tables and to extract information.
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Tutorial 
