Parallel coordinates technique has been widely used in information visualization applications and it has achieved
great success in visualizing multivariate data and perceiving their trends. Nevertheless, visual clutter usually
weakens or even diminishes its ability when the data size increases. In this paper, we first propose a tile-based
parallel coordinates, where the plotting area is divided into rectangular tiles. Each tile stores an intersection
density that counts the total number of polylines intersecting with that tile. Consequently, the intersection
density is mapped to optical attributes, such as color and opacity, by interactive transfer functions. The method
visualizes the polylines efficiently and informatively in accordance with the density distribution, and thus, reduces
visual cluttering and promotes knowledge discovery. The interactivity of our method allows the user to
instantaneously manipulate the tiles distribution and the transfer functions. Specifically, the classic parallel
coordinates rendering is a special case of our method when each tile represents only one pixel. A case study on a
real world data set, U.S. stock mutual fund data of year 2006, is presented to show the capability of our method
in visually analyzing financial data. The presented visual analysis is conducted by an expert in the domain of
finance. Our method gains the support from professionals in the finance field, they embrace it as a potential
investment analysis tool for mutual fund managers, financial planners, and investors.
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