Interactive Hierarchical Chart Visualization for Weighted Score Analysis
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Solution Overview
Problem
Existing data tracking and review systems struggle to provide a clear visualization of how individual data points contribute to overall scores in assessments, as charts and graphs typically only convey scores or weights but not both effectively, making it difficult to understand the hierarchical structure and impact on overall scores.
Innovation Solution
The system processes hierarchical datasets to calculate weighted average scores for each category and displays them in interactive user interface charts, where objects represent categories or data points, with sizes and color indicators showing weight and score values, and differentiates between accrued and projected scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If charts and graphs display only scores or weights separately, then the visualization is simple and clear, but the user cannot understand the hierarchical structure and contribution of data points to overall scores
Solution Approach 1:
The patent combines multiple chart types (treemap for hierarchical structure, pie chart for weight distribution, bar chart for score comparison) into a single integrated visualization. This merging allows users to see both the hierarchical structure and the contribution of each data point to overall scores simultaneously, resolving the contradiction between information completeness and chart complexity by providing comprehensive information through a unified interface rather than multiple separate charts.
2Loss of information
If the system displays detailed information about each data point and category, then the user can understand the hierarchical structure, but the visualization becomes cluttered and difficult to interpret
Solution Approach 1:
The patent segments the visualization into distinct functional areas: treemap sections for hierarchical structure, pie chart segments for weight distribution, and bar chart elements for score comparison. Each segment presents specific information in an optimized format, allowing users to interpret different aspects of the data separately while understanding their relationships. This segmentation maintains information completeness while improving interpretability by organizing details into structured, easily distinguishable components.
3Loss of information
If the system calculates and displays weighted average scores for all categories, then the user can understand the contribution of each category, but the processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary calculations of weighted average scores and contribution metrics during data ingestion and storage, rather than computing them in real-time during visualization. The system pre-processes the hierarchical data structure, calculates weights and scores for all categories ahead of time, and stores these computed values. This preliminary action significantly reduces processing time during chart generation while maintaining complete contribution analysis capability.
Data Source
AI summary
In non-limiting examples of the present disclosure, systems, methods and devices for generating and displaying interactive charts from hierarchical datasets are presented. A dataset comprising a plurality of data points may be received, wherein each of the data points has a score and a weight associated with it, and wherein each of the plurality of data points is a member of a hierarchical category type of the dataset. A weight value that each hierarchical category type contributes to the dataset, relative to each other category type, may be calculated. A score for each of the hierarchical category types may be calculated. A plurality of objects that each represent one of the hierarchical category types may be displayed in a hierarchical format in association with an indication of the calculated score for each of the objects.


