Quantified Euler Diagram Visualization for Set Overlap Analysis
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Solution Overview
Problem
Standard SQL-driven relational database management systems lack the ability to visualize relative sizes of sets and overlaps between sets in Euler diagrams, failing to provide quantification, proportional scaling, and direct selection and manipulation of sets for further analysis or application.
Innovation Solution
A graphical user interface and system that enables the visualization of relative sizes of sets and overlaps in Euler diagrams, allowing users to select, scale, and transfer sets, with features like zooming, drag-and-drop functionality, and quantification of areas, enabling users to manipulate and export data for further analysis or application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If standard SQL-driven relational database management systems are used, then data storage and retrieval are efficient, but the ability to visualize relative sizes of sets and overlaps between sets in Euler diagrams is lacking
Solution Approach 1:
The patent introduces an intermediary component that bridges SQL database systems and Euler diagram visualization. This intermediary layer translates relational data into visual Euler diagrams without requiring fundamental changes to the underlying SQL system, thereby adding visualization capability while maintaining system compatibility and avoiding excessive complexity.
2Measurement precision
If quantification and proportional scaling of sets are added to Euler diagrams, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent applies parameter changes by introducing quantitative parameters (set sizes, proportions, overlaps) to Euler diagrams. By systematically defining and calculating these parameters from relational data, the system achieves precise measurement and representation of set relationships without requiring complex manual intervention, thus improving measurement precision while controlling complexity through automation.
3Ease of operation
If direct selection and manipulation of sets are enabled, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The patent implements self-service functionality where the system automatically performs complex operations such as calculating set overlaps, determining proportional relationships, and updating diagram elements when data changes. This automation reduces the need for manual intervention and complex user controls, thereby improving ease of operation while managing interface complexity through intelligent system behavior.
Data Source
AI summary
A method can include rendering a first closed curve to a display where the first closed curve represents a number of members of a dataset according to a first criterion; receiving a selection for a second criterion for the dataset; transmitting at least the second criterion via a network interface; responsive to the transmitting, via the network interface, receiving information as to at least the second criterion and the dataset; and rendering to the display, based at least in part on the information, a second closed curve that represents a number of members of the dataset according to the second criterion where the first and second closed curves overlap to an extent that depends on a number of common members thereof.