Dynamic Scatter Plot and Pie Chart Data Selection
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Solution Overview
Problem
Video display systems face challenges in effectively presenting large amounts of spatiotemporal data to users, particularly in time-critical surveillance scenarios, where users need assistance to filter through vast amounts of data to identify relevant information.
Innovation Solution
A system and method that uses a video display system to present a scatter plot and a dynamically created pie chart, allowing users to select and highlight data points and organizations, with graphical elements in the pie chart and scatter plot representing different service providers and data communications, enabling users to focus on specific data subsets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If large amounts of spatiotemporal data are presented to users, then data completeness is improved, but data complexity increases
Solution Approach 1:
The patent segments the large dataset into multiple visual representations including scatter plots for individual data points, pie charts for organizational breakdowns, and bar charts for comparative analysis. This segmentation allows users to view comprehensive data through organized, manageable visual components rather than overwhelming raw data.
Solution Approach 2:
The patent transforms one-dimensional data tables into two-dimensional graphical representations by plotting data points on scatter plots with x and y axes representing different variables. This dimensional transformation enables users to perceive patterns, correlations, and distributions that are not apparent in tabular formats.
2Measurement precision
If users manually filter large datasets, then data accuracy is improved, but time consumption increases
Solution Approach 1:
The patent implements interactive feedback mechanisms where user selections on scatter plots (such as clicking or hovering over data points) immediately update related visualizations including pie charts and bar charts. This real-time feedback allows users to refine their data analysis iteratively without manual filtering, maintaining accuracy while reducing time consumption.
Solution Approach 2:
The patent introduces graphical interfaces and visualization algorithms as intermediaries between the raw data and user analysis. These intermediaries automatically process and filter data based on visual criteria, reducing the manual effort required while maintaining analytical accuracy.
3Loss of information
If multiple data representations are provided, then information completeness is improved, but interface complexity increases
Solution Approach 1:
The patent creates a unified graphical interface that serves multiple functions: scatter plots display individual data points and enable selection, pie charts show organizational breakdowns, and bar charts provide comparative analysis. This multi-functional interface consolidates what would otherwise require separate tools into a single cohesive system, maintaining information completeness while managing interface complexity.
Solution Approach 2:
The patent merges multiple data representations into a single integrated display area where scatter plots, pie charts, and bar charts coexist and interact. Related visualizations are grouped together, and selections in one visualization automatically update others, creating a unified analytical environment rather than separate, complex interfaces.
Data Source
AI summary
A system and method for selecting and highlighting elements of a graphical representation of data. A disclosed video display system is capable of providing, as part of a displayed image, i) a collection of data points in a first display area of a display and ii) a first graphical representation in a second display area, wherein the graphical elements in the first graphical representation are dependent on the collection of data points. The video display system can provide, for example, a scatter plot as the collection of data points and a pie chart as the first graphical representation, and can superimpose a selection window on the scatter plot, in order to enable a user to specify or select a subset of the data points. The pie chart graphically represents, for example, a breakdown of members by organization, wherein each slice in the pie chart corresponds to a different organization.