Proportional Data Highlighting with Overlay Markers
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Solution Overview
Problem
Current data visualization techniques lack effective methods for proportional highlighting of data, particularly when the proportional values fall outside the existing scale, leading to inadequate representation and analysis of data subsets.
Innovation Solution
A method and system for proportional highlighting of data, where a graph is presented with a first axis and a second axis, and a second value marker is overlaid on the first value marker to indicate proportional values within or outside the scale, with scale adjustment markers displayed without altering the axis when values exceed or fall below the minimum or maximum values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If proportional highlighting is applied to data subsets, then data representation accuracy is improved, but visualization complexity increases when proportional values fall outside the existing scale
Solution Approach 1:
The patent introduces a new visual dimension by overlaying proportional value markers on the existing graph axes. When proportional values fall outside the current scale range, additional markers are placed beyond the axis boundaries or on separate proportional scales, creating a multi-dimensional representation that maintains accuracy without requiring complete axis redesign.
Solution Approach 2:
The patent uses intermediary scale adjustment markers as mediators between the existing axis scale and the proportional values that fall outside the scale. These markers serve as reference points that bridge the gap between the fixed axis and the variable proportional data, enabling accurate representation without direct modification of the axis structure.
2Adaptability or versatility
If the axis scale is adjusted to accommodate proportional values, then data coverage is improved, but the original axis configuration is altered
Solution Approach 1:
The patent segments the scale adjustment function from the main axis configuration. Instead of modifying the entire axis, it introduces separate scale adjustment markers that operate independently. This allows the axis to maintain its original configuration for standard data while adding proportional value indicators that can extend beyond the original scale range without affecting the axis structure.
Solution Approach 2:
The patent applies partial action by only adjusting the scale locally where proportional values exceed the original range, rather than redesigning the entire axis. Scale adjustment markers are added only at the necessary positions to accommodate out-of-range proportional values, leaving the rest of the axis configuration unchanged and stable.
Data Source
AI summary
A method of proportional highlighting of data is provided. A graph presented on a display includes a first axis, a second axis, and a first value marker that indicates a value determined from data selected for presentation. The first axis includes a minimum value and a maximum value. The second axis includes a plurality of category values. An indicator identifying a subset of the data is received. A proportional value is determined for the first value marker based on the received indicator. A second value marker indicating the proportional value is presented on the graph overlaid on the first value marker when the determined proportional value is between the minimum value and the maximum value. A scale adjustment marker is presented on the graph without adjusting the first axis when the determined proportional value is not between the minimum value and the maximum value.