Radial Chart with Branching Stems for Multidimensional Data
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Solution Overview
Problem
Conventional graphical displays of multidimensional data are limited in their ability to effectively represent four or more dimensions on a single chart, leading to increased user mental overhead and complexity, which slows down data consumption and is difficult to construct and interact with.
Innovation Solution
A graphical chart is designed with a core and branching stems, where sub-topics are assigned to stems, and bubbles represent instances of data, with additional dimensions represented through color, width, and shading, allowing for a high degree of granularity and interactivity, such as zooming and user controls, to facilitate easier data consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple two-dimensional charts or three-dimensional charts are used to depict multiple dimensions of data, then the contextual dimension of the graphical display is increased, but the user's mental overhead increases and data consumption slows down
Solution Approach 1:
The patent segments the multidimensional data representation into a hierarchical structure with a central node containing summary statistics and multiple radial axes representing different dimensions. Each axis can be independently explored while maintaining context of the whole, eliminating the need for multiple separate charts and reducing mental overhead for correlating data across charts.
Solution Approach 2:
The patent transitions from traditional two-dimensional charts to a radial or star-shaped visualization that effectively uses angular dimension around a central point. This allows multiple data dimensions to be displayed simultaneously in a single chart without requiring multiple separate visualizations, thereby reducing the need for users to mentally correlate multiple charts.
2Quantity of substance
If multidimensional charts with large amounts of data are created, then the amount of information displayed increases, but the chart becomes prohibitively complex and data consumption slows down dramatically
Solution Approach 1:
The patent divides large multidimensional datasets into manageable segments organized along radial axes, with a central node providing summary overview. This segmentation allows users to navigate from high-level summaries to detailed data points systematically, preventing overwhelming complexity while displaying large amounts of information.
Solution Approach 2:
The patent applies local quality by allowing different regions of the radial chart to have different levels of detail and interaction capabilities. The central node provides aggregated summary information, while individual data points along axes can be explored in detail, enabling users to focus on areas of interest without being overwhelmed by the entire dataset's complexity.
3Ease of operation
If simple graphical charts like pie charts, bar charts, and line charts are used, then the presentation is easy to understand, but user interactivity is limited and space limitations restrict the amount of information displayed
Solution Approach 1:
The patent creates a universal radial chart structure that can represent multiple data types and dimensions simultaneously, combining features of pie charts (proportional data), bar charts (comparative data), and line charts (trend data) in a single unified visualization. This multi-functional approach maintains simplicity while dramatically increasing interactivity and information capacity.
Solution Approach 2:
The patent introduces dynamic interactivity to the radial chart, allowing users to rotate, zoom, filter, and explore data along different axes. This transforms a static simple chart into an interactive multidimensional exploration tool that maintains ease of understanding through intuitive radial geometry while providing extensive user control and adaptability.
Data Source
AI summary
Providing for graphical display of multidimensional data that improves user consumption of graphically rendered data is described herein. By way of example, the subject disclosure provides organization of multidimensional data into a graphical chart that can accommodate four or more dimensions of data on a single chart display. In a particular aspect, the graphical chart can comprise a core with a plurality of stems that branch outward from the core, having respective sub-topics of the multidimensional data assigned to respective stems. Stems can terminate in sets of bubbles, each sized according to quantitative significance of associated data, prominently presenting that significance. Bubbles can serve as lower level sub-topics for other sets of bubbles, providing recursive depth in the graphical chart to depict still more dimensions of data. Zoom controls, feature selection and custom data generation can provide usability features to enhance user experience.