Dynamic Graph for Time Series Data Visualization
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Solution Overview
Problem
Conventional data visualization tools, such as line charts, often fail to effectively represent time series data due to clutter and inefficiencies in query handling, making it difficult to interpret large datasets and identify relationships between data segments.
Innovation Solution
A dynamic graph representation system that uses nodes and edges to visually convey relationships between time series data segments, allowing for interactive and dynamically updated graph elements based on query results, with automatic query generation and customizable graph properties to highlight important data segments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If line charts are used to display time series data, then the data can be visualized, but the charts become unclear and cluttered when handling large volumes of data
Solution Approach 1:
The patent segments time series data into hierarchical groups and subgroups, allowing data to be organized in a structured manner. This segmentation enables the visualization system to handle large volumes of data by breaking them down into manageable units that can be explored at different levels of detail, preventing chart clutter while maintaining data completeness.
Solution Approach 2:
The patent introduces hierarchical grouping as an additional dimension for organizing time series data, moving beyond traditional single-dimension line charts. By adding this dimensional structure, the system can represent complex data relationships without increasing visual clutter, as data points are logically organized into groups and subgroups that can be selectively expanded or collapsed.
2Productivity
If conventional visualization tools are used, then simple data display is achieved, but query handling becomes inefficient and tedious when drilling down into large datasets
Solution Approach 1:
The patent performs preliminary organization of time series data into hierarchical groups and subgroups before visualization and analysis. This pre-structuring enables efficient drilling down into data without requiring repeated queries, as the hierarchical framework is already established and can be navigated directly through the visualization interface.
Solution Approach 2:
The patent implements a nested hierarchical structure where groups contain subgroups, which in turn contain individual data points. This nesting allows users to drill down through multiple levels of data organization without requiring separate queries at each level, significantly improving query handling efficiency by leveraging the pre-established hierarchical relationships.
3Loss of information
If all data segments are displayed in detail, then complete information is provided, but the visualization becomes cluttered and difficult to interpret
Solution Approach 1:
The patent implements dynamic visualization where hierarchical groups and subgroups can be selectively expanded or collapsed based on user interaction and data importance. This dynamic approach allows the system to maintain data completeness while improving interpretability by displaying only relevant portions of the data at any given time, with the ability to drill down into specific areas of interest.
Solution Approach 2:
The patent applies local quality by allowing different portions of the hierarchical data structure to be displayed at different levels of detail. Important or frequently accessed data segments can be expanded to show full detail, while less critical areas can be collapsed or summarized, optimizing both data completeness and interpretability according to local data characteristics and user needs.
Data Source
AI summary
A method for generating a dynamic graph representation includes receiving time series data, receiving a specification of a relationship between nodes connected by one or more edges in a graph representation to be generated for at least a portion of the time series data, and receiving an identification of a query of the time series data included in a specification of an element of the graph representation. The method further includes executing the query of the times series data, and updating a property of the graph representation using a result of the execution of the query.