Automated Treemap Configuration for Multi-Dimensional Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current treemap visualization systems require complex configuration skills, including data processing, computer programming, and user interface design, making it difficult for a single person to configure them, and often restrict dataset formats, limiting their applicability to datasets with non-standard hierarchies or formats.
Innovation Solution
Automated treemap configuration methods that allow for flexible mapping of data dimensions to graphical cell characteristics like area and color, with optional hierarchies specified independently through a hierarchy table, enabling the generation of treemaps from diverse data sources without requiring additional constraints on data format or configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automated configuration is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system performs automatic data dimension identification and mapping to graphical characteristics without requiring user expertise in data processing, programming, or UI design. The visualization component autonomously configures treemaps by examining data properties and format requirements, eliminating the need for manual configuration by specialists.
Solution Approach 2:
The system dynamically adjusts configuration parameters based on data characteristics. It examines data dimensions, determines appropriate graphical mappings (area, color, position), and modifies visualization parameters automatically according to the specific data being visualized, rather than requiring fixed manual configuration.
2Adaptability or versatility
If flexible data format support is provided, then adaptability is improved, but device complexity increases
Solution Approach 1:
The visualization component is designed to handle multiple data formats and hierarchical structures through a unified configuration approach. It can process datasets with various formats, dimensions, and hierarchy levels using the same automatic configuration mechanisms, eliminating the need for format-specific processing logic.
Solution Approach 2:
The system separates the configuration process into distinct functional components: data examination, dimension identification, mapping determination, and visualization generation. This modular approach allows flexible handling of different data formats without increasing overall system complexity, as each component handles specific tasks independently.
Data Source
AI summary
Systems and methods in accordance with various embodiments of the present invention provide for representing a plurality of source data values as graphical elements in a default treemap visualization, where each data value is associated with a plurality of data dimensions. A first data dimension is selected to be mapped to an area cell characteristic based on the first data dimension having a quality of numeric and a quality of non-negative. A second data dimension is selected to be mapped to a color cell characteristic based on the second data dimension having a quality of numeric and a quality of previously unmapped. The default treemap visualization is generated based on the selected first data dimension and the selected second data dimension.