Conditional Visualization for Measure Relationships
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Solution Overview
Problem
Conventional reporting tools lack the ability to effectively graphically represent relationships between the values of two or more measures within a visualization, limiting user insights into complex data relationships.
Innovation Solution
The system generates visualizations whose characteristics depend on conditions associated with the values of two or more measures, allowing users to define conditions that determine visual characteristics such as color, enabling the representation of relationships between measures through interactive user interfaces and server-side processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional reporting tools are used to display data, then basic data presentation is achieved, but the ability to represent relationships between multiple measures is insufficient
Solution Approach 1:
The patent applies color changes to represent relationships between measures by assigning different colors to areas based on conditions associated with measure values. The visualization system divides the visualization area into multiple regions and colors each region according to the relationship between first and second measure values, enabling effective representation of complex data relationships through visual color differentiation.
2Adaptability or versatility
If visual characteristics are made static, then simplicity is maintained, but the ability to represent conditional relationships between measures is limited
Solution Approach 1:
The patent implements dynamics by making visual characteristics changeable based on conditions. The system determines conditions associated with measure values and dynamically adjusts visual characteristics such as color, border, or pattern based on whether the conditions are met. This allows the visualization to adapt to different data relationships while maintaining a relatively simple underlying system structure.
3Loss of information
If multiple measures are displayed without conditional characteristics, then data coverage is maximized, but user understanding of relationships is reduced
Solution Approach 1:
The patent applies local quality by assigning different visual characteristics to different areas of the visualization based on local conditions. Each area is evaluated independently against conditions associated with measure values, and visual characteristics are applied locally to highlight specific relationships. This enables users to understand relationships in different parts of the data without overwhelming the entire visualization.
Data Source
AI summary
A system includes determination of a first series of data points, each data point of the first series of data points comprising one or more dimension values and a value of a first measure, determination of a second series of data points, each data point of the second series of data points comprising one or more dimension values and a value of a second measure, determination of a condition associated with a relation between the first measure and the second measure and with a visual characteristic, evaluation of the condition with respect to a first portion of the first series of data points and a first portion of the second series of data points, determination of a first visual characteristic of a first area of a visualization based on the evaluation of the condition and the visual characteristic associated with the condition, and generation of a visualization comprising a first visualization of the first series of data points, a second visualization of the second series of data points, and the first area, wherein the first area exhibits the first visual characteristic.