Visualization Merging via Data Extraction and Dimension Normalization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Consumers face difficulties in comprehending and integrating multiple visualizations from different sources and formats, as existing methods like printing or creating a new visualization are laborious and often impractical due to data access limitations.
Innovation Solution
A processor-implemented method and system that extracts data from multiple visualizations, represents it in tables, identifies common dimensions, and merges them to create a unified visualization, allowing for easier consumption and presentation of data in a single output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple visualizations are viewed together on a single dashboard, then the ability to comprehend multiple visualizations is improved, but the device complexity and labor required increase
Solution Approach 1:
The patent merges multiple visualizations from different sources into a single unified visualization by extracting data elements, identifying common dimensions, and combining them into one coherent display. This eliminates the need for separate dashboards or physical arrangements of multiple visualizations, directly resolving the contradiction by improving ease of operation while reducing device complexity.
Solution Approach 2:
The system introduces an intermediary processing layer that automatically extracts data from various visualization formats, normalizes them into common dimensions, and prepares them for unified presentation. This intermediary mechanism simplifies the user's task of viewing multiple visualizations without requiring them to manually integrate or arrange separate dashboards.
2Quantity of substance
If a new visualization is created to contain all data, then the ability to view all data at once is improved, but the time and effort required increase
Solution Approach 1:
The system performs preliminary extraction and normalization of data from multiple visualizations before the user needs to view them. By pre-processing the data into a unified format with common dimensions identified in advance, the system eliminates the time-consuming task of manually creating a new visualization to consolidate all data, thus improving data availability without increasing time loss.
3Adaptability or versatility
If visualizations from different systems are integrated, then the comprehensiveness of data access is improved, but the difficulty of data integration increases
Solution Approach 1:
The patent creates a universal data integration mechanism that can handle multiple visualization formats and sources through a single unified process. By extracting data elements and identifying common dimensions across different systems, the system provides multi-functional capability to integrate diverse data sources without requiring system-specific integration logic, thus improving adaptability while reducing integration complexity.
Data Source
AI summary
A processor-implemented method for merging a plurality of visualizations is provided. The method may include receiving the plurality of visualizations. The method may further include analyzing a plurality of elements within the plurality of visualizations. Additionally, the method may include unifying the plurality of elements to generate at least one unified visualization, the at least one unified visualization being based on the analyzing of the plurality of elements. The method may also include producing a single output visualization based on the assembling of the at least one unified visualization.