Bubble Visualization with Radial Bar Graphs for Progressive Data Disclosure
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data visualization techniques struggle to effectively represent large datasets without data loss, fail to progressively disclose granular details without shifting the visualization, and inadequately organize data from multiple sources into single visualizations.
Innovation Solution
The use of bubble visualizations that represent concepts in datasets, where bubbles are sized based on distinct values and records, and include radial bar graphs for detailed representation, allowing for interactive expansion of segments to show relative quantities, and organizing data from multiple sources into a cohesive visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If large datasets are summarized using averaging or summing to fit on a computer display, then the data can be visualized on available screen space, but data loss occurs and granularity is lost
Solution Approach 1:
The visualization is segmented into multiple hierarchical levels. The top level shows aggregated bubble charts representing high-level categories, while lower levels provide progressively more granular details. This allows the display to show summarized data at one level while enabling access to detailed data at other levels without losing information.
Solution Approach 2:
The patent adds a hierarchical dimension to the visualization. Instead of trying to fit all detailed data into a single 2D space, it organizes data across multiple hierarchical levels that can be navigated vertically. This transforms the problem from a 2D space constraint to a multi-level structural organization, allowing both summary and detail to coexist.
2Measurement precision
If known techniques expand selected portions of the representation to show details, then more granular data can be viewed, but the visualization fundamentally shifts or introduces new panels
Solution Approach 1:
The patent merges the summary view and detailed view into a single integrated visualization structure. Both the aggregated bubble charts and the detailed breakdowns coexist within the same panel, connected through the hierarchical organization. This eliminates the need to switch between separate panels or fundamentally shift the visualization when expanding details.
Solution Approach 2:
The visualization employs a nested structure where detailed data is nested within the broader contextual framework of the summary view. When expanding a category, the detailed data is nested within the same visual space rather than replacing or shifting to a new panel, maintaining the overall visualization context while revealing granular details.
3Reliability
If data from multiple sources is organized into separate visualizations, then each data source can be represented accurately, but the overall picture becomes fragmented and harder to understand
Solution Approach 1:
The bubble chart visualization serves multiple functions simultaneously: it represents aggregated data from multiple sources at the top level, and can also display detailed breakdowns of individual categories. The same visual structure handles both summary and detailed representation, as well as integration of multiple data sources, making the system versatile and eliminating the need for separate visualizations.
Data Source
AI summary
A bubble is displayed in a visualization that is based on a number of distinct values pertaining to the concept and on a number of records in the dataset including at least one of the distinct values pertaining to the concept. Furthermore, the dataset includes records from one or more databases organized into a concept hierarchy. The bubble includes, for a level of the concept hierarchy, a plurality of indicators each representing one of the distinct values at the level of the concept hierarchy. An interaction with the bubble visualization is received. Responsive to receiving the interaction, the bubble visualization is updated by adjusting the bubble to include a radial bar graph representative of a relative quantity of each distinct value of the concept represented by the bubble at each indicator of the plurality of indicators.