The pseudogrand tour (PGT) is an approximate version of the grand tour (GT), and an example of the dynamic data visualization
methods that assist in exploring hyperdimensional data through a continuous sequence of lower dimensional projections. The
PGT adds the time dimensionality to the visualization process which in turn increases the human interaction with the data
and reveals comprehensive views of the data. The PGT has some clear advantage suitable for the dynamic data visualization—such
as the fast and easy computation, can be constructed using many orthogonal bases (interpolation functions), and the flexibility
to visualize the projections as a sequence of scatterplot frames changing over time or a static profile plots of interpolated
projections. This article focuses on the implementations of the PGT, the use of interpolation functions, the extensions to
higher dimensions, and the scalability to large data points. *WIREs Comp Stat* 2010 2 711–718 DOI: 10.1002/wics.133

# Pseudogrand tour

Focus Article

Published Online: Oct 13 2010

DOI: 10.1002/wics.133

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