Unified Multi-View Data Visualization via Feature Map Conversion
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Solution Overview
Problem
The proliferation of analytics visualization tools has made it difficult and resource-intensive for users to maintain proficiency and efficiently utilize multiple tools, as each tool offers different visualization types and features, requiring separate requests and processing.
Innovation Solution
A method that intercepts a data visualization request, extracts features, and converts them using a feature map to generate visualizations across multiple tools, allowing a single request to produce visualizations in different tools, thereby simplifying data visualization and conserving computing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple visualization tools are used to access different visualization types and features, then the versatility and functionality of data analysis is improved, but the complexity of operation and time required to maintain proficiency increases
Solution Approach 1:
The patent creates a universal interface that can request visualizations from multiple different visualization tools using a single standardized request format. The system extracts features from the visualization request and converts them to tool-specific formats, allowing one interface to access the capabilities of many tools without requiring users to learn each tool separately.
Solution Approach 2:
The patent introduces an intermediary system that sits between the user and multiple visualization tools. This intermediary extracts features from visualization requests, converts them to appropriate tool-specific formats using feature maps, and manages the communication between the user and different tools, shielding users from the complexity of individual tool interfaces.
2Adaptability or versatility
If multiple visualization tools are used to access different visualization types and features, then the versatility and functionality of data analysis is improved, but the computing resources and time required for processing increases
Solution Approach 1:
The patent performs preliminary feature extraction and conversion before actually generating visualizations. By pre-processing the visualization request to extract features and convert them to tool-specific formats in advance, the system avoids redundant processing when generating multiple visualizations from the same request across different tools.
Solution Approach 2:
The patent creates feature maps that are essentially templates or copies of the visualization request structure adapted for different tools. Instead of creating entirely new requests for each tool, the system copies and adapts the feature structure from one tool's format to another's, reducing the computational overhead of format conversion.
Data Source
AI summary
Systems, methods, and computer media for visualizing data are provided herein. The described examples allow multiple data visualizations generated using multiple visualization tools to be displayed in response to a single data visualization request generated using a single visualization tool. A data visualization request can specify data for inclusion in a data visualization and properties for the visualization. Features can be extracted from the request and converted to corresponding features for other visualization tools. Both the visualization tool through which the request was generated and the other visualization tools can generate data visualizations for display.