Dynamic Data Visualization with Multi-Panel Structural Comparison
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Solution Overview
Problem
Existing methods struggle to effectively visualize and analyze dynamic datasets, particularly those that are multi-modal, multi-relational, and multivariate, as they become complex and confusing for larger and dynamic datasets.
Innovation Solution
A system with a processing unit and memory, including tools like a view creator, history index, and manipulator, that supports data exploration by creating data visualizations, tracking changes, and generating combined superset visualizations to reflect structural changes between different data explorations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional graph visualization methods are used for small and static datasets, then the visualization is clear and effective, but it becomes confusing and complex for larger and dynamic datasets
Solution Approach 1:
The patent segments the visualization into multiple panels, each displaying a specific view of the dataset. Instead of showing all data points in a single complex graph, the system divides the visualization into manageable sections that can be independently explored and compared, reducing overall complexity while maintaining clarity.
Solution Approach 2:
The patent adds temporal and comparative dimensions to the visualization by creating multiple panels that show different views of the data at different times or under different conditions. This multi-panel approach transforms a single static graph into a multi-dimensional visualization system that handles dynamic datasets more effectively.
2Productivity
If multiple data explorations are created to analyze dynamic datasets, then comprehensive analysis is achieved, but comparing structural changes between explorations becomes difficult
Solution Approach 1:
The patent creates a unified multi-panel visualization system that can simultaneously display multiple data explorations and automatically compare them. Each panel serves multiple functions by showing different aspects of the data while maintaining consistent structural references, enabling comprehensive analysis without increasing comparison complexity.
Solution Approach 2:
The patent uses visual encoding techniques including color changes to highlight structural differences between data explorations. By applying consistent visual cues across multiple panels, the system makes structural changes easily identifiable without requiring complex manual comparison procedures.
Data Source
AI summary
Embodiments relate to visually encoding data and analyzing an associated dataset. More specifically, the embodiments relate to encoding a dynamic dataset and supporting data exploration of the dynamic dataset. In various embodiments, data and data viewing history are tracked according to defined criterion, which form a data version and viewing analysis record. The data and record can be displayed in many ways. In one embodiment, a visual display of differences between a first version and a second version of data is shown. In another embodiment, the visual display is dynamic and changes in real-time.