Parallel Coordinate Plot Axis Segmentation for Data Tracking
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Solution Overview
Problem
Conventional parallel coordinate plot (PCP) visualization methods fail to effectively track and analyze desired data within large datasets, as they do not provide suitable visualization for identifying selected values among multiple axes.
Innovation Solution
An information presentation device and method that plots multidimensional data in a PCP coordinate system, divides axes into sections to generate histograms, and provides visual information to highlight the ratio of selected values within these sections, allowing for enhanced data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If parallel coordinate plot (PCP) is used to visualize large quantity of data, then data processing capability is improved, but ability to track and analyze desired data deteriorates
Solution Approach 1:
The patent segments the parallel coordinate plot by dividing axes into sections and generating histograms that separate data into discrete groups. This segmentation allows users to track specific desired values by examining individual histogram sections rather than searching through the entire continuous PCP visualization, thereby resolving the contradiction between handling large data volumes and tracking specific data points.
2Loss of information
If multiple values are plotted on multiple axes in PCP, then information representation is improved, but visualization of selected values deteriorates
Solution Approach 1:
The patent applies local quality by making different parts of the visualization serve different functions: the PCP displays overall data relationships while histograms provide localized detailed information about selected values. This allows the system to maintain comprehensive information representation while enhancing the visibility and trackability of specific selected values through the histogram visualization.
Data Source
AI summary
An information presentation device includes a plot unit, a histogram generation unit, and a visual information generation unit. The plot unit plots a plurality of values included in each of a plurality of pieces of multidimensional data on a plurality of axes in a parallel coordinate plot coordinate system. The histogram generation unit divides each of the plurality of axes into a plurality of sections, and generates a plurality of histogram bars each of which corresponds to the number of values plotted in each section in the plurality of sections. When one or more values are selected as selected values, the visual information generation unit generates visual information with which the ratio of the number of selected values to the total number of values contained in any one histogram bar out of the respective histogram bars generated by the histogram generation unit can be identified.