Multipath Explorer Filter Chains for Large Data Visualization
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Solution Overview
Problem
Data analysts face difficulties in making sense of large and dynamically updating data sets, often relying on inexact methods or cumbersome spreadsheets to identify trends and diagnose issues due to the complexity of analyzing raw and metadata data.
Innovation Solution
The multipath explorer allows users to visualize entire populations and subsets hierarchically, dynamically updating views to reflect changes in the data, enabling immediate visualization of updated data sets and eliminating the need for manual recalculation of complex computations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If analysts rely on manual methods and spreadsheets to analyze large data sets, then they can identify trends and diagnose problems, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The patent replaces manual mechanical analysis methods with an automated computer-based system that processes data sets through electronic filtering and visualization components, eliminating the need for manual spreadsheet manipulation and enabling rapid analysis of large data volumes
Solution Approach 2:
The system performs automatic filtering and visualization generation without requiring manual intervention for each analysis step, with the computer automatically applying filter criteria to data sets and generating updated visualizations when data changes occur
2Measurement precision
If analysts use complex computations to analyze raw data and metadata, then they can extract insights, but the complexity makes it difficult to make sense of the data
Solution Approach 1:
The patent divides the complex data analysis process into distinct filtering stages, where each filter applies specific criteria to progressively refine the data set, making the overall complex computation more manageable and interpretable through structured breakdown
Solution Approach 2:
The system introduces filter components as intermediaries between raw data and final analysis results, where each filter acts as a mediator that transforms data according to specific criteria, simplifying the path from complex raw data to meaningful insights
3Reliability
If the data set is updated in large volumes and numerous times, then the inventory information remains current, but it becomes difficult to track and visualize changes
Solution Approach 1:
The system continuously monitors and processes data set updates automatically, maintaining continuous visualization of the current data state without requiring manual intervention for each update, ensuring reliable current information remains easily visualizable
Solution Approach 2:
The patent replaces manual tracking methods with automated computer-based monitoring that continuously processes data updates and generates visualizations, making it easy to track and visualize changes even when data is updated in large volumes and frequently
Data Source
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AI summary
A multipath explorer may allow a user to quickly visualize an entire population of data hierarchically in a tree-like structure. For example, a user can select a first filter to be applied to a data set, and the multipath explorer can display data in the data set that satisfies the first filter requirements and data in the data set that does not satisfy the first filter requirements. A second filter can be applied to the data in the data set, and the multipath explorer can display data in the data set that satisfies the first and second filter requirements, data in the data set that satisfies the first filter requirements and not the second filter requirements, data in the data set that satisfies the second filter requirements and not the first filter requirements, and data in the data set that does not satisfy the first or second filter requirements.