Interactive Graphic Chart Data Manipulation System
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Solution Overview
Problem
Existing graphic chart visualization and manipulation systems are not interactive enough, making it difficult for users to recognize relationships between data in real-time, and require repetitive navigation through multiple menu entries, tabs, or windows, leading to inefficient data analysis.
Innovation Solution
A method and system for visualizing and manipulating graphic charts by creating multiple datasets and graphic charts, where manipulating one dataset updates all others based on a mathematical model, allowing for interactive and dynamic modification of chart elements directly within the charts themselves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional spreadsheet programs are used to create and modify graphic charts, then data can be entered and modified in electronic spreadsheets, but users must repeatedly navigate between menu entries, tabs, or windows to manipulate data sets, leading to loss of time and reduced productivity
Solution Approach 1:
The patent combines the data manipulation interface and the graphic chart visualization into a single integrated display. Users can directly manipulate data points on the chart itself rather than navigating between separate spreadsheet and chart views, merging multiple functions into one unified interface that reduces navigation time and improves operational efficiency
Solution Approach 2:
The graphic chart is designed to serve multiple functions simultaneously: it acts as both a visualization tool and a data manipulation interface. The same chart elements that display data also serve as controls for modifying data, eliminating the need for separate menu systems and tabs for data entry and chart creation
2Loss of information
If multiple graphic charts are displayed to visualize relationships between datasets, then data analysis capability is improved, but the visualizing display area becomes less compact and more complex
Solution Approach 1:
The patent merges multiple datasets and their corresponding visualizations into a single integrated graphic chart display. Instead of requiring separate chart areas for each dataset, the system combines them in one cohesive visualization where relationships between datasets are directly visible, maintaining information completeness while optimizing display space
Solution Approach 2:
The patent utilizes multiple visual dimensions within the chart (such as different chart types, colors, and visual encodings) to represent multiple datasets and their relationships simultaneously. This allows complex data relationships to be conveyed in a compact space by adding visual complexity rather than spatial extent
3Productivity
If traditional chart manipulation methods are used, then charts can be created, but users cannot easily recognize relationships between data in real-time and qualitative analysis takes more time
Solution Approach 1:
The patent implements real-time feedback mechanisms where manipulating data points on the chart immediately updates the visualization and recalculates related datasets. This instantaneous feedback loop allows users to recognize data relationships in real-time without delays, significantly improving analysis speed and enabling rapid what-if scenarios
Solution Approach 2:
The system pre-calculates and prepares multiple datasets and their relationships using mathematical models before user interaction. When users manipulate chart elements, the pre-prepared data structures enable immediate updates and recalculations, eliminating computation delays and allowing rapid qualitative analysis
Data Source
AI summary
A method, a computer program product and a server for visualizing and manipulating graphic charts to one or more users is disclosed. The method includes creating n variables, creating multiple datasets including data points representing a relation between a subset of the variables, and creating one or more graphic charts each comprising a representation of the datasets. The method also includes displaying the graphic charts on display elements and manipulating a dataset in a graphic chart where a mathematical model is created and relations between the datasets are detemiined by the mathematic model. The relations operate in a two-way direction, and the datasets and graphic charts are accordingly updated when manipulated.