Weighted Data Intersection Visualization for Inequality Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current data analysis methods fail to effectively incorporate inequality-based decision making, leading to inaccurate and opaque results, as they rely on equality of inputs and lack visualization or feedback systems, making it difficult to navigate and understand complex data sets with varying levels of support.
Innovation Solution
A method and system that encode inequality biases into data structures, allowing users to visualize and navigate intersections of response data sets by weighting responses based on magnitude values, enabling the generation of representative values for intersections and providing a three-dimensional representation of analytical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If equality-based data analysis methods are used, then simplicity and ease of implementation are maintained, but accuracy and representativeness of results deteriorate because they fail to account for varying levels of support or enthusiasm in responses
Solution Approach 1:
The patent applies local quality by encoding different weights for different responses within the data structure. Each response is assigned a weight value that reflects its level of support or enthusiasm, allowing the system to treat individual responses differently based on their local characteristics rather than applying uniform equality across all data points.
Solution Approach 2:
The patent changes the parameter of response importance by introducing weight values that can vary across responses. This parameter change allows the data analysis to reflect varying levels of support or enthusiasm, transforming the analysis from equality-based to inequality-based while maintaining structured data organization.
2Measurement precision
If inequality-based weighting is applied to responses, then accuracy and representativeness of analysis improve, but complexity of data structure and navigation increases
Solution Approach 1:
The patent implements feedback by providing visualization systems that display the weighted relationships between responses. This feedback mechanism helps users understand the inequality-based weighting applied to different responses, making the complex weighted data structure more navigable and interpretable through visual representation of relationships and patterns.
Solution Approach 2:
The patent uses visualization systems as an intermediary between the complex weighted data structure and the user. This intermediary translates the intricate inequality-based relationships into accessible visual formats, bridging the gap between computational complexity and user comprehension.
3Loss of information
If traditional equality-based methods are used, then implementation simplicity is maintained, but transparency and understandability of decision-making processes deteriorate
Solution Approach 1:
The patent provides feedback mechanisms that reveal the weighting applied to different responses and the rationale behind inequality-based decisions. This transparency feedback allows users to understand how individual responses contribute to overall analysis results, making the decision-making process visible and explainable despite the underlying complexity.
Data Source
AI summary
A system, method and computer-readable medium for modeling relationships between query responses in a data set including receiving a selection of one or more first queries and one or more second queries, receiving a selection of one or more first strings and one or more second strings, determining one or more representative values corresponding to one or more intersections, each intersection corresponding to a unique combination of a first query, at least one second query, a first string, and at least one second string, and generating a three-dimensional representation including one or more indicators corresponding to the one or more intersections, a visual attribute of each indicator in the one or more indicators reflecting a representative value corresponding to that intersection and the one or more indicators being organized within the three-dimensional representation along three axes.