Dataset Relationship Visualization With Interactive Graph Linking
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Solution Overview
Problem
Existing systems struggle to intuitively display relationships between multiple datasets without requiring specialized training or knowledge, making it difficult for users to understand complex data interactions.
Innovation Solution
A system comprising a computing device configured to receive and display multiple datasets via a graphical user interface, allowing users to interact with the interface to identify and visualize relationships between datasets, with color-coded elements indicating delta values and providing text overlays for clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple datasets are displayed together in a graph, then the system provides comprehensive data visualization, but the complexity of understanding relationships between datasets increases
Solution Approach 1:
The patent introduces a relationship dataset as an intermediary element that mediates between multiple source datasets. This relationship dataset explicitly encodes the connections and dependencies between datasets, allowing the system to visualize complex relationships without increasing user cognitive load. The intermediary relationship layer translates implicit data connections into explicit visual representations.
Solution Approach 2:
The patent extracts relationship information from multiple datasets and separates it into a distinct relationship dataset. By taking out the relationship information from the source datasets and placing it in a dedicated relationship dataset, the system can display source data and relationship data in different visual layers, reducing the complexity of understanding while maintaining comprehensive information display.
2Loss of information
If the system provides detailed interaction capabilities for exploring data relationships, then user understanding improves, but the ease of operation decreases
Solution Approach 1:
The patent implements self-service functionality where the system automatically identifies and highlights related datapoints across datasets when a user selects a point in one dataset. Instead of requiring users to manually explore relationships through complex interactions, the system proactively displays related information from other datasets, reducing the operational burden while maintaining deep exploratory capabilities.
Solution Approach 2:
The patent incorporates immediate visual feedback mechanisms that automatically update the display when users interact with the graph. When a user selects a datapoint, the system instantly highlights corresponding points in related datasets and displays relationship information, providing continuous feedback that guides user understanding without requiring additional operational steps or specialized knowledge.
3Loss of information
If the system displays color-coded elements indicating delta values, then data relationship clarity improves, but the device complexity increases
Solution Approach 1:
The patent uses color-coded visual elements to represent delta values and relationship types between datasets. Different colors indicate different types of relationships (e.g., positive correlation, negative correlation, magnitude of change), allowing users to quickly comprehend data relationships at a glance. This visual encoding transforms complex numerical relationships into intuitive color-based information.
Solution Approach 2:
The patent changes the visual parameters of displayed elements (such as color, size, or shape) based on the underlying data relationship parameters. By mapping data parameters like delta values and relationship strength to visual parameters, the system conveys multiple dimensions of data relationships through a single unified display mechanism, reducing the perceived complexity while maintaining information richness.
Data Source
AI summary
Systems, apparatuses, methods, and computer program products are provided herein. For example, a method may include receiving a plurality of datasets. In some embodiments, the method includes identifying a relationship between a first dataset, a second dataset, and a third dataset of the plurality of datasets. In some embodiments, the method includes causing display of a graph depicting the first dataset, the second dataset, and the third dataset via a graphical user interface. In some embodiments, the method includes receiving a user interaction with the graphical user interface indicating a first user-selected datapoint. In some embodiments, the method includes identifying a first datapoint within the first dataset and a second datapoint within the second dataset corresponding to the first user-selected datapoint. In some embodiments, the method includes causing display of an element indicating a relationship between the first datapoint and the second datapoint.