Data Distribution Indicators in Data Trees
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Solution Overview
Problem
Existing data tree display systems require users to manually interrogate and compare data values across parent and child nodes to determine relative data distributions, making it cumbersome to quickly assess the distribution of data among child nodes.
Innovation Solution
A software-implemented system that identifies a parent node in a data tree, determines the relative distribution of a data parameter among child nodes, and displays graphical connectors with data distribution indicators on a computer display, allowing for visual representation of the data distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually interrogate and compare data values across parent and child nodes, then they can determine relative data distribution, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The patent introduces visual indicators as an intermediary element between the raw data values and the user's understanding. These indicators automatically calculate and display the relative distribution of data values among sibling nodes, eliminating the need for manual comparison while maintaining measurement precision. The visual indicators serve as a mediator that transforms complex data comparison into an intuitive visual representation.
Solution Approach 2:
The patent replaces the mechanical manual process of interrogating and comparing data values with an automated visual display system. Instead of users manually examining data values and performing comparisons, the system automatically generates visual indicators that represent data distribution, substituting manual mechanical operations with automated graphical presentation.
2Loss of information
If detailed data values are displayed for each node, then complete information is provided, but the visual complexity and difficulty of comparison increases
Solution Approach 1:
The patent segments the display into two distinct components: the underlying data values stored in nodes and the visual indicators that represent relative distribution. This segmentation allows the system to maintain complete data information while presenting a simplified visual representation through separate indicator elements that do not clutter the original data display.
Solution Approach 2:
The patent applies local quality by providing different types of information in different locations: detailed data values are preserved in the node structures, while visual indicators are placed in specific locations (such as on connectors or adjacent to nodes) to show relative distribution. This allows users to access complete information when needed while reducing display complexity through strategically placed visual cues.
Data Source
AI summary
Systems, methods and articles for displaying data distributions in data trees are provided. An example method retrieves a data tree organized into a plurality of nodes that store a data parameter and identifies a parent node from among the plurality of nodes, the parent node being linked to a plurality of child nodes in the data tree. The relative distribution of the data parameter among the plurality of child nodes is determined and a plurality of graphical connectors that visually link the parent node to the child nodes are displayed on a computer display, each of the graphical connectors including a data distribution indicator that indicates the relative distribution of the data parameter among the child nodes.