Decomposition Graph Visualization for Multi-Dimensional Data Analysis
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Solution Overview
Problem
Current data visualization tools, such as decomposition trees, lack the flexibility to compare and aggregate complex measures like profit, revenue, and attrition over multiple dimensions, and do not provide advanced visualization capabilities for users to navigate and understand data results effectively.
Innovation Solution
A decomposition graph visualization system that allows users to select multiple measures and dimension members, generating new levels of nodes with measure visualizations to illustrate relationships, comparisons, and aggregations, enabling users to filter and compare data across desired dimensions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional decomposition trees are used for data visualization, then the structure is simple and easy to understand, but the capability to compare and aggregate complex measures over multiple dimensions is insufficient
Solution Approach 1:
The patent segments the data visualization into multiple hierarchical levels, where each level represents a different dimension. The decomposition graph divides complex measures into comparable components across multiple dimensions, allowing users to analyze profit, revenue, and other metrics at granular levels while maintaining an organized hierarchical structure.
Solution Approach 2:
The patent transitions from traditional single-dimension decomposition trees to multi-dimensional decomposition graphs. By adding dimensional layers (such as time, geography, product categories), the system enables comparison and aggregation of complex measures across multiple dimensions simultaneously, transforming the visualization from 1D to multi-D space.
2Adaptability or versatility
If basic decomposition visualization is provided, then the system is easy to operate, but advanced visualization capabilities for navigating and understanding data results are lacking
Solution Approach 1:
The decomposition graph serves multiple functions: it visualizes hierarchical data structures, enables comparison across dimensions, supports aggregation operations, and provides navigational capabilities. This multi-functional design allows a single interface to handle diverse analytical needs without requiring separate tools or complex操作流程.
Solution Approach 2:
The patent introduces an intermediary layer between raw data and user interpretation. The decomposition graph acts as a mediator that automatically processes complex multi-dimensional data relationships, performing aggregations and comparisons behind the scenes while presenting simplified visual representations to users.
3Loss of information
If multiple measures are visualized simultaneously, then the information completeness is improved, but the difficulty of detecting and measuring relationships between measures increases
Solution Approach 1:
The patent applies local quality by providing specialized visual treatments for different measures within the same decomposition graph. Each measure (profit, revenue, etc.) can be displayed with appropriate visual encoding (color, size, position) that highlights its specific characteristics and relationships, making it easier to detect patterns and anomalies in multi-measure data.
Data Source
AI summary
A computer readable storage medium includes executable instructions to provide a decomposition graph visualization with a set of nodes. A selection of two or more measures is received. A measure visualization is generated for each node to illustrate a relationship between the two or more measures.